bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Neural Network Algorithms to Implement Drug Abuse Research on Identifying Cannabis Use Disorder through Analysing Personality Traits
Authors: D. Kumaresan, Aranga. Arivarasan
Published: December 2023

Frequent cannabis use will certainly lead to a reasonable mental complication. Daily and long-time period cannabis use is associated with more intellectual loss. This is identified as cannabis use disorder (CUD). The CUD starting at the teen age is the strongest predictors of cognitive impairment. However, it's miles uncertain which comes first. Whether CUD results in early onset cannabis use or cannabisearly use in lives reasons the CUD. The aim of this paper is to investigate the most influential features origins the CUD among the cannabis user’s personality trails. Depending on the self-extracted data collected from 1885 individuals three of the NN models were built. These three NN models apply the 10-Fold cross validation and 30-70 Hold-Out validation methods to provide the reliability of the prediction results. Among the three methods the RNN Hold-Out method achieves 99.19% as best accuracy result.
Compassionate Caregivers: Stories from the Nursing Frontline
Authors: Senthil T, Shailza Nimmi Guria, Millo Antu, Muna Subba
Published: December 2023

This article sheds light on the invaluable contributions of compassionate caregivers in the field of nursing. Through the compelling stories of dedicated nurses such as Mary Stevens, Emily Johnson, and Jane Anderson, we explore the profound impact of their empathetic care on the lives of their patients. In "The Miracle of Comfort," Mary Stevens' gesture of bringing the ocean to a terminally ill patient in the ICU exemplifies the transformative power of compassion, offering solace and healing beyond medical procedures. In "A Ray of Hope in the NICU," Emily Johnson's extraordinary dedication to premature infants and their families demonstrates the vital role nurses play in instilling hope during the most trying times. Finally, in "A Lifeline for the Elderly," Jane Anderson's companionship for the elderly goes beyond clinical care, providing solace and friendship to those grappling with isolation. These stories underscore the indomitable spirit of nursing, highlighting that beyond the clinical realm, nurses offer the human touch that soothes, comforts, and uplifts, making a difference in the lives they touch.
Innovations in Nursing: Shaping the Future of Healthcare
Authors: Neha Kushwaha, Manohar Kumar, Muna Subba, Mihin Rinu
Published: December 2023

The field of nursing is at the forefront of a healthcare revolution, driven by remarkable innovations that are reshaping the industry. Innovations such as telehealth and telemedicine have improved access to care, while artificial intelligence and big data are enhancing diagnostics and treatment personalization. Wearable health tech empowers individuals to monitor and manage their health, and robotic assistance is revolutionizing patient care and surgical precision. Genomic nursing, meanwhile, is providing personalized care based on an individual's genetic makeup. These advancements offer benefits like increased patient convenience, early disease detection, and improved treatment outcomes. However, challenges including data privacy and regulatory compliance must be addressed for responsible integration. As nursing continues to lead the way, the future of healthcare looks promising, offering more patient-centered, efficient, and accessible healthcare systems.
Nursing Leadership: Guiding the Way to Quality Patient Care
Authors: Senthil T, Millo Antu, Shailza Nimmi Guria, Muna Subba
Published: December 2023

Nursing leadership is a critical component of healthcare systems, with a profound impact on patient care. This article explores the multifaceted role of nursing leaders, their influence on patient care, and the challenges they face in the complex healthcare landscape. Nursing leaders are pivotal in creating a culture of quality and safety, reducing medical errors, enhancing patient satisfaction, and lowering readmission rates. They foster staff morale, facilitate professional development, and guide their teams through change and innovation. Despite these positive impacts, nursing leaders must grapple with staffing shortages, high patient acuity, resource constraints, and regulatory compliance. This abstract highlights the crucial role of nursing leaders in shaping healthcare quality and patient outcomes, emphasizing the need for resilience and adaptability in the face of ongoing challenges. As healthcare systems continue to evolve, nursing leadership remains central to the delivery of high-quality patient care, ensuring that patients receive the best care possible.
Innovations in Paramedical Science: Enhancing Patient Care
Authors: Saloni Singh, Bikram Mazumdar, Pranal Chhetri, Licha Rin
Published: December 2023

This article explores the transformative innovations in paramedical science that are revolutionizing patient care. It delves into the impact of telemedicine and telehealth, point-of-care testing, 3D printing in prosthetics, advanced radiological techniques, and mobile healthcare units. These advancements are enhancing healthcare accessibility, improving diagnostics, personalizing treatment, and bringing critical medical services to underserved populations. By focusing on these innovations, healthcare is becoming more patient-centric, efficient, and inclusive, offering a glimpse of a future where advanced technology and compassionate care work together to ensure the well-being of individuals worldwide.
Deep Learning-Assisted Citation Recommendation System Using Multi- cell RNN Approach
Authors: Bala Subramanian C. K. Velkumar,
Published: December 2023

A process of retrieving relevant or suitable papers that are mostly related to the research topic while carrying research knowing the behavior and patterns of citation for mapping the disciplines and subjects. This is used increasingly for judging usually takes a huge amount of effort and time. The citation recommendation is used frequently for solving this issue on suggesting the list of candidate papers automatically which may match the references of user. On applying Deep learning (DL) models in the citation recommendation system, the performance enhancement is greatly visible in various recent research studies. Hence, in this work, a deep learning-based model is employed for the citation recommendation system. Primarily, the input dataset is taken and the function words are removed using stochastic matching pattern scheme at which the library is created. Then, the canonicalization of document is carried by means of probabilistic min-match algorithm. The data is classified finally using Multi-cell RNN (Recurrent neural network) approach after which the rank is set for citation. At last, the performance is assessed for various metrics like MAP, MRR, precision, recall, and F1-measure. The obtained results are then compared with traditional models to validate and show the enhancement of proposed model over existing schemes. It is revealed from the analysis that the proposed scheme shows improvement in results.
Securing Cyberspace: A Comprehensive Journey through AI's Impact on Cyber Security
Authors: C. Mohammed Gulzar Pandem Chandana,
Published: December 2023

This paper provides a comprehensive exploration of the impact of Artificial Intelligence (AI) on the field of cyber security. It delves into the various ways in which AI technologies are transforming the landscape of cyberspace, bolstering defenses, and mitigating the evolving threats faced in the digital realm. Through an in-depth analysis of AI's role in cyber security, this study aims to shed light on the potential benefits and challenges associated with integrating AI into security frameworks. By examining real-world examples and case studies, this research provides valuable insights into the practical applications of AI in securing cyberspace.
A Comparative Clinical Study of the Effect of Yoga, Music, and Yoga with Music on Anxiety During Pregnancy
Authors: Asokan V. Sujata Shamkuwar,
Published: December 2023

Purpose-stress, anxiety of mother can  lead to adverse effects for the expectant mother and the unborn child. The present study investigates whether interventions like yoga,pranayama and classical music can improve anxiety,maternal as well as fetal well-being.

Methods- A total of 201 pregnant women took part in this comparative clinical study Symptoms of anxiety were assessed by Hamilton anxiety scale

and questionnaires before the intervention phase (from 18-20th weeks of pregnancy) and afterwards (up to labour). Additionally, immediate changes regarding experienced stress and mood from before until after the interventions were explored with questionnaires.

Results- Regarding immediate effects, both interventions showed positive effects on the emotional state, symptoms of anxiety). Additionally, the singing group showed a larger reduction in cortisol and a larger improvement in valence than the music group. Looking at more prolonged effects, significant effects on general self-efficacy and perceived closeness to the unborn child were found.

Conclusion -In the present study, promising effects of yoga with music and in particular depressive symptoms and on maternal well-being and perceived closeness during pregnancy appeared. Prenatal yoga and music interventions could be an easy to implement and effective addition to improve mood and well-being of the expectant mother and support mother-infant bonding.
Enhanced Multi-Objective Power Flow Optimization for IEEE-118 Bus Test System using Advanced Grey Wolf Optimization Algorithm
Authors: Gupta Sunil Kumar
Published: December 2023

This research article thoroughly examines the implementation of an enhanced Grey Wolf Optimization (GWO) method for Multi-Objective Power Flow Optimization (MO-PFO) in the IEEE-118 bus test system. Given the growing complexity and uncertainty in modern power systems, power flow optimization presents a crucial challenge. The suggested enhanced GWO algorithm improves the performance of the traditional GWO for MO-PFO issues while addressing its inherent flaws.

The goal of this study is to obtain optimal solutions concurrently for multiple objectives, including the reduction of power losses, voltage variations, and the enhancement of system stability. In the Related Works section, I review the research on power flow optimization in the literature, which also showcases the improvements achieved by applying various optimization techniques and discusses the benefits and drawbacks of traditional optimization methods and their effectiveness in dealing with MO-PFO issues.

The improved GWO algorithm, designed specifically for MO-PFO, is described in detail in the Methodology section. I explain the adjustments made to the regular GWO algorithm and introduce a cutting-edge method for handling multiple objectives. In the IEEE-118 bus test system, I present the mathematical model of the MO-PFO problem and develop fitness functions for each objective.

Furthermore, I describe the implementation of the enhanced GWO algorithm, including parameter settings and termination criteria. The proposed algorithm demonstrates its capability to effectively handle the multi-objective nature of power flow optimization, thereby paving the way for future power system operations that are more dependable and sustainable
Enhanced Hybrid PSO-CSA Algorithm for Efficient Maximum Power Point Tracking in Partially Shaded Solar PV Systems: Modeling and Analysis
Authors: Gupta Sunil Kumar
Published: December 2023

This research paper presents a mathematical model and analysis of an Improved Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) hybrid Maximum Power Point Tracking (MPPT) system for partially shaded solar PV systems. The proposed hybrid MPPT system aims to overcome challenges in tracking the global maximum power point (MPP) under partial shading conditions. The paper discusses the significance of MPPT techniques in solar PV systems, particularly under partial shading conditions, and the motivation for developing an improved MPPT algorithm using the hybrid PSO-CSA approach. The performance of the proposed hybrid MPPT system is assessed through simulation and experimentation, demonstrating its robustness and superior performance compared to conventional MPPT techniques. The results validate the efficiency and practicality of the proposed hybrid approach, emphasizing its potential for real-world implementation and advancement in renewable energy systems.
Epidemiology Study of Cutaneous Leishmaniasis in Babylon Governorate
Authors: Malak Majid Almusawi Aseel Zuhair Sherba ,
Published: December 2023

Cutaneous leishmaniasis disease is considered an epidemic disease in Iraq and neighboring countries like Syria, Jordan, Turkey, Iran and Saudia Arabia kingdom .(WHO,2020). The study was performed to evaluate the Epidemiological status of cutaneous leishmaniasis in the  Babylon governorate during the period 1/9/2022 to 1/3/2023 ,one hundred eighteen case visited the Al-Sadeq teaching hospital, Musaib general hospital, Alexandria general hospital, Al-Kifel general hospital  and some private clinics in the governorate were studied. The infection was diagnosed by dermatologist physician . The study revealed that the percentage of infection with the CL was 39% with the age 1-14 year and 28% with age 15-24.Male were more infected with the disease (57%) than female (48%).Rural area were more epidemic with this disease (75.43%) in comparing with rural areas. Arms and legs were more exposed to infection (81.%) with ulcer than head (15.79%).Multiple ulcer represent more prevalence in the body (59.64%) comparing with the single(40.35%). Wet ulcer of zoonotic origin were more prevalent in incidence of infection (82.45%)  in comparing with dry anthropoid  ulcers (17.54 %).
Combination and Identification of Cycles Compounds of Drug with Bio Assessment
Authors: Rasha Neama Hussein Nadia Sadiq Majeed   ,
Published: December 2023

Sundry derivative were prepared in recent study in step of preparing a number of heterogeneous organic compounds with seven-cyclic closure (oxazepines compounds)  , which bear the numbers (A5-A8). As well as from Schiff's base compounds, a number of Heterogeneous organic compounds with tetracyclic closure (beta-lactam compounds) using 1,4-dioxane as a solvent bearing the numbers (A9-A12) were prepared. All of these derivatives evaluated via many spectral methods to  improve their structures as a heterocyclic compounds, then bio assessment were carried out on same derivatives to improve their activity towards  microbs.
An Empirical Study on Status of Women Empowerment in India
Authors: Deepali Jain Nishi Sharma, Aman Sharma,
Published: December 2023

Women's empowerment is a long-standing and big challenge among all sections of society across the nations. Undoubtedly, a great deal of progress has been accomplished in empowering women; still, women and girls continue to face discrimination and violence in almost every part of the world, and India is no exception. At present, women participate in all activities in India, including education, sports, politics, media, art and culture, service sectors, science, and technology. Moreover, the Indian Constitution guarantees equal opportunities to women. However, multiple studies have shown that women's role in society has not changed drastically; and gender discrimination persists in India. Thus, empowering women is essential for the betterment of family, community, and national development. This study aims to assess the understanding and extent of the genuine meaning of women's empowerment amongst different sections of the society classified on basis of income level; and to compare their perspectives on the issue. Further, it seeks to analyze the acceptance of gender role reversal in the family. It is a primary study based on a survey conducted with the help of a structured questionnaire. The study has been conducted on the hypothesis that women respondents are relatively less empowered, and their status is lower than that of men. The study finds that in almost all cases, the family's financial standing has been strengthened wherever the women have earned to supplement the family's income. In some cases, the positive attitude towards women's economic empowerment is a major step in strengthening women's empowerment.
Emergence of Deglobalization: With A Changing Global Paradigm
Authors: Payal Mahipal Sumant Kaushik ,
Published: December 2023

Since 2008, deglobalization has affected state-to-state economic integration and interdependence. Events like the 2008 financial crisis,and the COVID-19 pandemic may disrupt global trade and boost local consumption. Globalization 2.0 includes trade protectionism, cash flow restrictions, people movement restrictions, and information access. The US-China trade conflict has hastened deglobalization and distorted money and commerce. Country integration momentum leads to stronger economic openness but lower trade openness in emerging market economies (EMEs). The 2008 financial crisis slowed globalization, lowering trade as a proportion of GDP from 54.62% in 2004 to 52.47%. The maturing of global value chains and manufacturing dispersion have reduced global trade flexibility. Deleveraging and credit constraints caused by China's rising domestic value added in exports and insufficient trade finance have contributed to this drop. The US-China trade war has deglobalized the global commerce sector, with China's retaliation limited. This study discusses economic evidence of deglobalization. The study shows a reduction in goods, money, and people-to-people transfers. The paper also discusses how US-China strategic rivalry promotes deglobalization in trade.
Improvements to the Brain Tumor Segmentation and Classification System Using Convolutional Neural Networks
Authors: Shailendra Kumar Gaurav Kumar Verma,
Published: December 2023

The analysis of medical imaging for the diagnosis and treatment of brain tumors must include the segmentation of the tumor. The complexity of the brain's structure and the heterogeneity of the tumors make it difficult to segment brain cancers from magnetic resonance imaging (MRI) pictures. Deep learning approaches have recently demonstrated encouraging outcomes in the segmentation of brain tumors from MRI images. Due to its capability to handle high-resolution pictures and segment the entire tumor region, the U-Net model is one of them and is frequently utilized. For the diagnosis and planning of brain tumor treatments, accurate segmentation of brain tumors using multi-contrast MRI images is essential. Deep learning models including U-Net, PSPNet, DeepLabV3+, and ResNet50 have demonstrated encouraging outcomes in the segmentation of brain tumors. With the use of the BraTS 2018 dataset, we compare these models in this research. We assess the models' performance using a variety of measures, including the Hausdorff Distance (HD), the Dice Similarity Coefficient (DSC), and the Absolute Volume Difference (AVD), and we look into how data augmentation and transfer learning approaches affect the models' effectiveness. The findings demonstrate that the 3D U-Net model, which had a DSC of 0.90, HD of 10.69mm, and AVD of 11.15%, had the best performance. Similar performance was attained by the PSPNet model, which had a DSC of 0.89, HD of 11.37mm, and AVD of 12.24%. Performance was lower for the DeepLabV3+ and ResNet50 models, with DSCs of 0.85 and 0.83, respectively. The 3D U- Net and PSPNet models in particular saw a considerable improvement in performance thanks to the data augmentation strategies. The performance of all models, especially the DeepLabV3+ and ResNet50 models, was greatly enhanced by the transfer learning technique as well. The 3D U-Net model with data augmentation and transfer learning is suggested for brain tumor segmentation using multi-contrast MRI images based on the findings and analyses. The study shows the potential of deep learning models for segmenting medical images and emphasizes the significance of using the best model and optimization methods for the particular application.
Manufacturing and Machining Performance Analysis of Al/SiC5 MMC using Soft Computing Techniques
Authors: Amol A. Chavan, Dr. D.N. Raut, Dr. D. K. Shinde
Published: December 2023

Now a day’s, metal matrix composites (MMCs) are taking a superior position among the available material. The presented work aims to investigate the ease of machining for Aluminium based MMC (AlSiC5- with 5% Silicate). These MMCs are extensively used in space, defence, automobile, etc. To analyze the process, an effective two techniques ie. Response surface method (RSM) & artificial neural networks (ANN) have been selected to analyze the process. Taguchi’s L27 plan was used for data collection. The parameters like current (AMP) and pulse on time (TON) are the basically dominant parameters, followed by voltage (VOLT) and pulse off time (TOFF). The ease of machining performance measured in terms of surface roughness (Ra). From obtained result, it is seen that the ANN & RSM presents an exemplary commitment. An adequate contract was observed with the high correlation coefficient value (R2 = 0 9863) in RSM and (R2 = 0 9764).
Seagrass Ecosystem and its Regulations in Indonesia
Authors: Widjaja Gunawan
Published: December 2023

As an archipelagic state, Indonesia consists of islands surrounded by water. Seagrass beds are part of a unique water and land ecosystem in Indonesia. Just recently, the 1st of March has been designated as world seagrass day. This study aims to describe and explain the conditions, regulations, and environmental protection arrangements for seagrass beds in Indonesia. This research is normative legal research using secondary data. An analysis is conducted through a descriptive-explanatory approach to explain the regulations of seagrass beds in Indonesia, the environmental protection arrangements for seagrass beds in Indonesia, and their current conditions. Findings and discussion prove that Indonesia has been giving attention to the development of seawater ecology and environmental protection. For seagrass beds, the Government of the Republic of Indonesia through the State Minister has issued a regulation that covers the determination of healthy seagrass beds. However, the implementation is not as expected. Until recently many research studies have shown that in general, the seagrass beds in Indonesian water are not healthy, only covering a certain area. Even in a conservation sea area, the coverage of seagrass is less than healthy. It cannot be seen from the perspective that Indonesia mostly consists of water than land.
A Case Report on Management of Hyperlipidemia with Homeopathic Remedies
Authors: Kumar.P.K Prathiba.R,
Published: December 2023

Hyperlipidemia is the abnormality of lipid metabolism that ranks as the second most prevalent chronic illness condition and is  one of the major risk factors for cardiovascular disease. Though conventional treatment uses statins as intervention, they are not free from adverse effects and are also expensive. In this case, a 50-year old male diagnosed with familial hyperlipidemia, was managed with homoeopathic medicines, Calcarea carbonica and Saccharum lactis based on the physical, mental  generals and modalities of the individual. The intervention along with lifestyle changes showed symptomatic relief along with lowering of the lipid values. The results from this present study may be further utilized to frame a larger sample clinical study to confirm the therapeutic efficacy of these homeopathic formulations.
Fabrication and Characterization of Copper Graphite Composite Material
Authors: Rajesh Kr Porwal Avinash Sharma  ,
Published: December 2023

This study presents the fabrication and mechanical characterization of a Copper-Graphite (Cu-Gr) metal matrix composite through the powder metallurgy route. The mechanical properties of the composite were investigated for varying percentages of graphite (2%, 05%, 10%) and compression pressures (550MPa, 650MPa), including tensile strength and hardness, as well as the effect of pressure on density and green density. The Cu-Gr composites were prepared under different compaction pressures, and their properties were comprehensively evaluated. The composites underwent sintering at a temperature of 1100°C for 1 hour and 20 minutes. It was observed that an increase in the graphite content resulted in a corresponding increase in both the hardness and tensile strength of the composites. Additionally, the green density, sintered density, and relative density of the Cu-Gr composites were measured for various compaction pressures. As the compaction pressure increased, there was a notable enhancement in the density and relative density of the composites.
A Study of Demographic Factors and Investment Awareness Among Youth with Reference to Thane City
Authors: Monica Lodha Sachin Vilas Acharekar ,Santosh Tirathdas Karmani ,
Published: December 2023

Young generations in today's world are much more imaginative and understand technology or we call them socially and financially technologically skilled in comparison to the older generation. Knowing whether the young and vibrant generation today is really worried about its future financial status or investments and knowing it. This research attempts to find out above by examining students' awareness of investment. For the study purpose, raw data is from students through a structured questionnaire, and the samples chosen are the students of different streams from the age group of 16 to 28 years old wherein 253 responded from youth filled through a questionnaire.  The goal is to evaluate the participant's level of awareness and information about investments. The study reveals that investment awareness and knowledge and demographic factors are linked to a recent extent.
Teacher Self-Efficacy and Psychology as a Mediator Between the Role of Professional Learning Leaders and the Professional Learning of Boarding School Teachers in the South Zone
Authors: Aida Hanim A. Hamid Haslina Said, Mohamed YusoffMohd Nor,
Published: December 2023

One of the focuses of Malaysia Education Blueprint (2013-2025) is continuous professional learning to enhance the quality of the teaching profession. With this intention, the school principal needs to carry out their role as a learning leader to provide focus on learning and ensure teachers and students receive new knowledge and skills in line with the education of today. Professional learning for teachers is activities that are essential to enhance knowledge, skills, and values to improve the teachers’ teaching and learning practices. This research attempted to determine the correlation between the school principals’ role as professional learning leaders, teachers’sense of self-efficacy, and the teachers’ professional learning at South Malaysia’s boarding schools. Additionally, this research identifies the teacher’s self-efficacy as a mediator between the school principals’ role as professional learning leaders and the professional learning of teachers at South Malaysia’s boarding schools. This research is quantitative-based with a survey method of 1,033 respondents and 285 sample teachers. The Statistical Package for the Social Sciences (SPSS) was used to analyse the data that was obtained. The research questions and hypotheses have been answered using descriptive and inferential analysis. The result shows a significant correlation between principals’ role as professional learning leaders, teachers’ self-efficacy, and teachers’ professional learning. Furthermore, teachers’ self-efficacy is a mediator between the principals’ role as professional learning leaders and the professional learning of teachers at South Malaysia’s boarding schools. The results of this study have implications for how self-efficacy in teachers functions as a mediator between the principal's position as a learning leader and the teachers' professional learning. This indicates that enhancing the principal's leadership responsibilities will boost teachers' self-efficacy, which will ultimately help to enhance teachers' professional development.
Non-Newtonian Flow with Heat and Mass Transfer Over a Porous Stretching Sheet Under the Effects of Space Dependent and TGD Heat Sink, Non-Uniform Heat Source and Dissipation of Energy and CGD Mass Diffusion with Suction/Blowing
Authors: P H Veena S Priyanka, J Phakirappa,
Published: December 2023

In the present paper, an analytical study of visco - elastic fluid flow with heat and mass transfer characteristics over a porous stretching sheet has been examined. Heat balance is maintained with space dependent and temperature gradient dependent heat sink/source, viscous dissipation, and non-uniform heat source on the non-Newtonian Walter’s liquid B' model. The mass balance is maintained with chemically reactive species of order I, variable mass diffusivity and concentration gradient dependent mass diffusion. Using similarity transformation technique on the highly non-linear differential equations, several closed form analytical solutions are obtained for non-dimensional temperature and concentration in both PST and PHF cases in the form of confluent hypergeometric (Kummar’s) functions. The effect of permeability parameter, viscoelastic parameter, suction parameter on velocity profiles and various physical fluid situations with different degrees of viscoelasticity, Prandtl number, Eckert number, heat source- sink strength, temperature field are discussed in detail and presented through graphs. Similarly in the mass transfer field the effects of Schmidt number, reaction rate parameters are discussed in detail and presented through graphs.
Experimental Analysis of Wheat Bran Composite for Lightweight Fuel Tank Applications
Authors: Yash Chavan, Mithil Bangera, Shital Patel, S. D. Jadhav
Published: December 2023

Since last 50 years, awareness about finding a suitable alternative to steel as a material for fuel tank, has been increased in order to eliminate the demerits of steel like corrosive nature and higher weight. Polymers are looked upon by researchers as a promising option for fuel tank material. Among the polymers, High Density Polyethylene (HDPE) is extensively researched in the last three decades of twentieth century. But by considering complex geometry of fuel tank, the flexibility of Linear Low-Density Polyethylene (LLDPE) is found to be very helpful and LLDPE also allows to further reduce the weight of the fuel tank. In last two decades there is extensive research on further improving the properties of LLDPE by making composite using plant fiber. Wheat Bran (WB) is a waste material from agro industries and is recycled by using as a reinforcement material to LLDPE. So, LLDPE-WB composite as a material for the fuel tank, formed using compression moulding technique, is considered in this study. Tensile properties of the LLDPE-WB composite are experimentally evaluated and compared with LLDPE (without reinforcement). It has been found that the tensile strength of the LLDPE-WB decreases while the tensile modulus of the LLDPE-WB increases, as compared to LLDPE. Percentage elongation at break decreases drastically for LLDPEWB composite as compared to LLDPE, which is very widely observed behaviour in case of any plant fiber composite of LLDPE.
Comparative Study of Flexibility Between Volleyball and Basketball Players of Manipur
Authors: T.Inaobi Singh Shaikhom Premchand Singh,
Published: December 2023

In the present modernized society, the importance of sport is well understood and given a very high response. Flexibility is the range of motion around a joint; high flexibility helps lower the incidence of injuries in all stages of life. The statement of the problem was "Comparative study of flexibility between volleyball and basketball players of Manipur". The purpose of the study was to compare the physical fitness of volleyball and basketball players in Manipur. The researcher selected 60 players from Manipur (30 volleyball players and 30 basketball players) and 30 players each from two games selected randomly for this study. The age range is from 20 to 25 years of age. The variable for the study was flexibility (Upward-Backward movement of the arm test). The statistical analysis of the data revealed that volleyball and basketball players had no significant difference in flexibility. The insignificant result was found due to the similar nature of the game and the utility of flexibility in the upward-Backward movement of the arm test for the players of these two games. Further, the hypothesis was accepted.
The Role of Information and Communication Technology in Public Sector Administration: The Readiness of the Local Authorities in the Arab Sector in Israel.
Authors: Eyad Darawsha
Published: December 2023

This research paper investigates the readiness and integration of ICT in local authorities' administrative processes and service delivery. This is an important topic to explore, given the technological stalemate that is currently witnessed in the Israeli Arab localities. This has caused a significant hindrance to the successful fulfillment of public administrative functions in a rather "technologically advanced" country in the Middle East. Essentially, this research aims to review the incorporation of ICT in the Arab sector in relation to the articulation of the same in Jewish localities. To obtain these results, this study explores qualitative and quantitative research designs, interviews, and surveys with stakeholders and teachers in Arab schools. The results from this research will be used to examine the preparedness level of the Arab public sector in harnessing ICT potential. It also assesses the challenges the local authorities face in leveraging Israel's ICT potential by specifically focusing on the level of digital literacy Arab education sector. The data findings indicate a low-to-moderate degree of ICT integration among teachers, highlighting the importance of pedagogical knowledge and attitudes toward change in facilitating successful ICT implementation. Further, the study contributes to the understanding of ICT utilization in public sector administration and provides recommendations for overcoming obstacles and improving ICT practices in the Arab sector of Israel.
The Influence of Leadership Style on the Modern Organization's Profitability in the Arab Sector of Israel
Authors: Nawal Mansour
Published: December 2023

This research study aims to identify the role of the influence of Leadership style on the modern organization's profitability in the Arab sector of Israel. Leadership styles contribute to the success of organizations within the Arab sector of Israel. These styles include transformational, visionary, situational, servant, and authentic leadership, each of which has unique characteristics and impacts on employee motivation, engagement, and overall organizational performance. For this research, the mixed method approach was used to identify the phenomenon. The results explained that the participants also emphasized the importance of adapting and evolving their leadership styles over time to meet the changing needs and expectations of their teams and organizations. The participants' responses disclose a diverse range of perspectives on future-oriented leadership and management. There are key elements include embracing change, fostering innovation, cultivating a growth mindset, building resilience and agility, aligning organizational values and purpose, and prioritizing sustainability and social responsibility. These insights underscore the importance of anticipating and adapting to evolving business environments to ensure long-term success. the negative impact of ineffective leadership and management styles that are implemented by the leaders/managers of an organization. The impact can closely be witnessed in terms of the employees, as well as the stakeholders of an organization facing setbacks in the form of decreased profits and interest, lack of motivation, as well as an increase in the general rate of turnover with which the organization manages to weaken itself. The theme portrays examples of cultural and generational differences, which is embedded within the style of leadership/management, can embody the case of ineffective diversity policy of that organization.
The Tribal Law in Beer Sheva and its Effect on Vanishing Dispute and Bringing Reconciliation
Authors: Samy Abu Freach
Published: December 2023

This study's aim was to Examine how tribal customs contribute to conflict resolution, to Consider whether tribal customs in Beersheba were effective in settling disputes and to determine whether these tribal customs are used as a way to establish social reconciliation. In order to investigate the study problem a mixed method was applied, in which both interviews and questions were used. The sample of the study included 235 Bedouin citizens Be'er Sheva   Israel. The main results were that, first Bedouins often support their tribal judiciary systems to resolve disputes. Second, Bedouins often prefer to go to the tribal sheikh or (the head of the family) to resolve distributes. Next, the majority of the participants agreed that they trust the tribal judiciary.
The Impact of the Local Climate on the level of Violence at School Among Youth in the Arab sector in Israel
Authors: Rana Hlahli Masalha
Published: December 2023

This dissertation examined the impact of the local climate on the level of violence at school among youth in the Arab sector in Israel. Given the lack of research on this topic, the current study sought to fill this gap in the literature. The study used a mixed-methods approach, incorporating both quantitative and qualitative data. The quantitative data was collected through a survey of Arab youth in Israel. The qualitative data was collected through in-depth interviews with a small sub-sample of the survey participants. The study sought to answer the following question: What factors are associated with increased levels of violence at school among Arab youth living in Israel? The findings of the study will provide policymakers and educators with useful information about the nature and extent of violence among Arab youth, which may help to identify and address risk factors. By understanding the factors that contribute to violence at school among Arab youth, policymakers and educators can better target interventions that will have the most impact. For example, interventions that address socio-economic factors may be more successful in reducing violence if they are implemented in a community where violence is prevalent. In addition, programs designed to reduce violence at school may be more effective if they are tailored specifically to the needs of Arab youth. The results of the study suggest that the local climate has a significant impact on the level of violence at school among youth in the Arab sector of Israel. Specifically, the study found that higher temperatures and humidity levels are associated with an increase in the frequency and severity of violent incidents. The study also found that students who live in areas with a higher prevalence of violence are more likely to engage in violent behavior themselves. There are a number of potential interventions that could be used to improve the situation for Arab youth in Israel. For example, providing access to mental health services and counseling could help address the psychological factors that contribute to violent behavior among some students. Another potential intervention is to improve the quality of education in the Arab sector of Israel, which has historically been underfunded and understaffed. Addressing issues such as overcrowding, a lack of resources, and inadequate teacher training could go a long way in improving the overall educational experience for Arab youth, and may also help reduce incidents of violence at school.
Ayurvedic Management of Syringomyelia - A Single Case Study
Authors: Vishnupriya Harish Daga , Hemant D. Toshikhane,Neel Prajapati,
Published: December 2023

Background: Syringomyelia is a disorder in which a fluid filled cyst forms within the spinal cord and causes a wide variety of neuropathic symptoms. No permanent cure has been found yet in modern science to treat this disease. However different Panchakarma therapies along with oral drugs mentioned in Ayurveda texts have been found to be effective in this disease. In present case report a patient diagnosed with syringomyelia Type 1 was treated with Ayurveda modalities. According to Ayurveda patient was diagnosed as kapha-avrita-pranavayu along with shiromarmaabhighata.

Method: A 27years old female patient with the symptoms of Back, neck & shoulder pain, vertigo, , weakness of right lower limb associated with numbness and mild pain was given Ayurveda treatment. The features were assessed on the basis of classical signs and symptoms mentioned in Ayurveda. Panchakarma therapies such as karna-purana, shiropicchu etc. along with oral medications according to the line of treatment of above mentioned Ayurveda diagnosis were administered. Improvement was assessed on the basis of relief in patients’s symptoms along with MRI reports. Follow up was taken to evaluate the sustainability of the result.

Result: Significant improvement was found in both classical signs and symptoms as well as in MRI. There were significant relief in all mentioned complaints of patient. Size of syrinx reduced markedly in size.

Conclusion: Present case study shows that the symptoms of syringomyelia can be successfully treated in accordance with the principles of Ayurveda.
Agricultural Activities and Their Environmental Impact on Surface Waters: A Review
Authors: Saritha Vara Sravani Pericherla,
Published: December 2023

Freshwater bodies have been significantly impacted by changing land use and land cover patterns, as well as changing environmental and climatic factors. Both point and nonpoint sources contribute significantly to water contamination. Point sources can be controlled, but managing and keeping an eye on non-point sources is far more difficult. Pollution in the current situation makes access to potable water practically difficult as water resources become more limited. To feed a rising population, intensive agricultural practices increase the use of pesticides and fertilizers, which causes runoff and eutrophication of freshwater systems. This assessment focuses on how agricultural practices affect water bodies, the environment, and people's health as non-point sources of pollution. It looks at the intricate relationships between local water quality and land use.
Importance of Doctrine of Reasonable Classification for Assuring Equality to All: A Critical Analysis in Light of the Legal Provisions and Relevant Judicial Decisions
Authors: Ullah Kalim
Published: December 2023

Equity delights in equality. It means that as per as possible equity would put the persons on an equal level so far as their rights and responsibilities are concerned. Equity acts in a such way that no person gets an undue advantage over the other or is put to unjustified loss. This article mainly focuses on the fact that all persons are not equal in their ability, skill, efficiency, proficiency and expertness etc. Reasonable classifications among the persons may be done according to their working capacity as well as working fields. In this paper efforts have been made to examine the factors or causes, based on which reasonable classification may be made. It has also been tried to develop a comprehensive idea for understanding the fact that classification shall be rational, reasonable or in accordance with the provisions of law of the country but shall not be arbitrary and discriminatory. This research is conducted on the basis of secondary data and are collected from various Court decisions i.e., cases, journals, books, reports etc.
A Case Study: Management of Hypothyroidism through Ayurveda Medication
Authors: O. P. Dave, Harish Daga Radhika Gandhi, Manjiri Keskar,
Published: December 2023

One of the most common endocrine disorders seen in daily practise is hypothyroidism. Hypothyroidism is caused by a lack of thyroid hormone or resistance of body tissue to thyroid hormone in relation to metabolic demand. Although diagnosis and treatment of hypothyroidism are frequently thought to be simple, a large number of people with this condition receive suboptimal care. Thyroid disorders are common in India, with hypothyroidism being a condition that is currently not adequately controlled. Because of the disease's broad scope and high prevalence in society, the current issue was chosen for study and management using Ayurveda principles.  60 years old male patient on 10/03/2023 came to OPD of Shalakya Tantra, Parul Ayurved Hospital, Parul University, Vadodara with general body weakness, breathlessness, voice fatigue, dryness, difficulty in swallowing big tablet since a year. Primarily he had steroid therapy for 10 days in November, 2022 but he wanted to be on Ayurveda medication completely. In an interval of 30 days, complete Ayurveda treatment was given, patient was symptomless and TSH level reduced from 15.96 micro IU/ml to 7.77 micro IU/ml.
Optimal Variable Selections and Prediction Methods for Soil Chemical Property Using Data Mining and Machine Learning Approaches
Authors: P. Rajesh G. K. Arun,
Published: December 2023

The main objective of the research is to convert raw data into actionable knowledge. Creating a decision tree involves recursively dividing the data into subsets based on different attributes, aiming to achieve homogeneity or minimize variance within each subset. This paper considers agriculture and its soil chemical-related dataset for applying data mining techniques to find suitable variables for future predictions. The tenfamiliar ML approaches are Gaussian processes,linear regression, multilayer perceptron, simple linear regression, SMOreg, decision stump, M5P, random forest, random tree, and REP tree. Numerical illustrations are provided to prove the proposed results with test statistics or accuracy parameters.
Literature Review on Improving IoT Security Using Machine and Deep Learning Technique
Authors: Rajendra Kumar Raju,
Published: December 2023

This literature review paper discusses the concept of the Internet of Things (IoT) and its implications on various domains, highlighting the challenges and security concerns associated with its expansive scope. This review work emphasizes the need for comprehensive security solutions to address the complexities of IoT infrastructure, particularly in the context of emerging threats. Thispaper also underscores the importance of integrating security, energy efficiency, software applications, and data analytics in IoT systems. It outlines the evolving landscape of IoT security, including the vulnerabilities and potential consequences of inadequate security measures. Additionally, authors address the intersection of security and privacy concerns within Deep Learning (DL) and Machine Learning (ML), discussing various strategies such as homomorphic encryption, differential privacy, trusted execution, and secure multiparty computing. It acknowledges the computational demands of these approaches and the ongoing search for globally harmonized solutions. Finally, authors concludes by highlighting the challenges and strategies in countering adversarial attacks in DL and ML, emphasizing the effectiveness of adversarial training and the multifaceted nature of defense mechanisms.
Indian Film Songs Genre Wise Classification Based on Spectral Features
Authors: Tejas P. Patalia Darshita S. Pathak,
Published: December 2023

The classification of musical genres has received a lot of attention in recent years due to the several uses it can serve in music information retrieval.  Additionally, since genres frequently co-occur in music tracks in Indian Film Songs, it is desirable to record and model the genre correlations in order to enhance the effectiveness of multi-label music genre classification. Present a novel multi-modal strategy that uses a music spectral feature-based classification method to address these problems. In addition, a genre correlations extraction module is offered to identify and model probable genre correlations based on the characteristics of the proposed approach.