bluuebunny/crossref_metadata_2025 huggingface dataset:
Shell-dependent photofragmentation dynamics of a heavy-atom-containing bifunctional nitroimidazole radiosensitizer
Authors: Pihlava Lassi , Svensson Pamela H. W. , Kukk Edwin , Kooser Kuno , De Santis Emiliano , Tõnisoo Arvo , Käämbre Tanel , André Tomas , Akiyama Tomoko , Hessenthaler Lisa , Giehr Flavia , Björneholm Olle , Caleman Carl , Berholts Marta
Published: February 2024

A study on photodissociation dynamics of 2-bromo-5-iodo-nitroimidazole – a model radiosensitizer – using coincidence spectroscopy and computational methods.
Synthesis and bioactivity of psilocybin analogues containing a stable carbon–phosphorus bond
Authors: Vandevelde Marthe , Simoens Andreas , Vandekerckhove Bavo , Stevens Christian
Published: February 2024

Psilocybin analogues have been synthesized comprising a non-hydrolysable P–C bond to evaluate the biological activity and the selectivity towards 5-HT2AR, 5-HT2BR and the TNAP receptor.
Correction: Mechanistic insights into Ag+ induced size-growth from [Au6(DPPP)4]2+ to [Au7(DPPP)4]2+ clusters
Authors: Lv Ying , Wu Xiaohang , He Shuping , Yu Haizhu
Published: February 2024

Correction for ‘Mechanistic insights into Ag+ induced size-growth from [Au6(DPPP)4]2+ to [Au7(DPPP)4]2+ clusters’ by Ying Lv et al., Nanoscale Adv., 2022, 4, 3737–3744, https://doi.org/10.1039/D2NA00301E.
A comprehensive review of entropy engineered GeTe: an antidote to phase transformation
Authors: Basu Ranita , Singh Ajay
Published: February 2024

Driven by the burgeoning demand for high performance eco-friendly thermoelectric materials in the mid-temperature range (573–773 K), we herein focus on GeTe based alloys exhibiting high ZT of >2.0 owing to their promising band structure.
Enhancing sparrow search algorithm with OCSSA: Integrating osprey optimization and Cauchy mutation for improved convergence and precision
Authors: Yong Chang , Ting He , Peng Chen
Published: February 2024

This study enhances the traditional sparrow search algorithm (SSA) to address its weaknesses, such as poor convergence rates and precision due to a tendency to fall into local optima. The improved version, OCSSA, integrates the Osprey optimization algorithm (OOA) and Cauchy mutation. Logistic chaotic mapping is used for initial population generation to increase genetic diversity. OOA boosts global exploration in the producer phase, and Cauchy mutation in the scroungers phase disrupts suboptimal solutions, enhancing the algorithm's ability to avoid local optima. OCSSA's performance, validated through ten benchmark functions and fault diagnosis optimization tasks, significantly improves convergence speed and accuracy, proving its effectiveness in complex optimization challenges.
AODiMP‐TIR: Anti‐occlusion thermal infrared targets tracker based on SuperDiMP
Authors: Ma Shaoyang , Yang Yao , Chen Gang
Published: February 2024

To address the issue of tracking drift and failures in thermal infrared (TIR) tracking tasks caused by target occlusion, this study proposes an anti‐occlusion TIR target tracker named AODiMP‐TIR. This approach involves an anti‐occlusion strategy that relies on target occlusion status determination and trajectory prediction. This enables the prediction of the target's current position when it is identified as occluded, ensuring swift recapture upon reappearance. A criterion is introduced for occlusion status determination based on the classification response map of SuperDiMP. Additionally, a trajectory mapping module designed to decouple target motion from camera motion is presented, enhancing the precision of trajectory prediction. Comparative experiments with other state‐of‐the‐art trackers are conducted on the large‐scale high‐diversity thermal infrared object tracking benchmark (LSOTB‐TIR), LSOTB‐TIR100, and thermal infrared pedestrian tracking benchmark (PTB‐TIR) datasets. The results indicate that the AODiMP‐TIR performs well across all three datasets, particularly exhibiting outstanding performance in occlusion sequences. Furthermore, ablation study experiments confirm the effectiveness of the anti‐occlusion strategy, occlusion determination criterion and trajectory mapping module.
Does Economic Growth Increase or Decrease Economic Losses and Deaths from Storm Surge Disasters in China? An Empirical Analysis from The Aspect of Hazard Exposure
Authors: Lin Jiaju , Wang Shuo , Zhao Yuning , Xue Xiongzhi
Published: February 2024

Storm surge disaster is the major threat to coastal residents’ lives and property in China, which could steal away development gains in a short time. Therefore, the storm surge disaster loss reduction is an indispensable part of socio-economic development. However, the relationship between economic growth and the loss of storm surge disasters remains unclear. Herein, we explored the relationship between economic growth and the losses caused by storm surge disasters in China’s coastal zones from 1978 to 2020. We established an empirical model through the indicators of direct economic loss and death toll using negative binomial estimate and tobit estimate models. To ensure the accuracy of the model, multiple socioeconomic factors were also included in the models. The results revealed that there is an “inverted U-shaped” relationship between GDP per capita and the losses from storm surges. Furthermore, we used the entropy method to establish the storm surge hazard exposure index of China’s coastal zone from 2000 to 2020, considering disaster intensity, population density and other factors. When considering hazard exposure level, the role of economic growth may be diminished. In other words, at the same economic level, higher hazard exposure leads to greater disaster losses. We argue that economic growth and disaster resilience are not identical goals. Thus, the government needs sufficient information support when formulating disaster prevention and reduction plans.
Specific Primer Design for Detection of gene Cyt b for Shark Species Prionace glauca and gene COI for Carcharhinus spp. Using Real-Time PCR Method
Authors: Abdullah Asadatun , Putri Annisaa , Nurilmala Mala
Published: February 2024

International market demand for sharks is increasing, thus increasing the number of catches of several shark species that are included in the International Union for Conservation of Nature’s (IUCN) Red List and the Convention International Trade of Endangered Species (CITES) Appendix II. Authentication using biomoleculars by utilizing DNA is necessary. This study was aimed to design specific primers based on cytochrome c oxidase I and cytochrome b marker genes for endangered sharks (Prionace glauca and Carcharhinus spp.) and to apply them in vitro to identify fishery products using real-time PCR techniques. This research begins with designing target species-specific primers. Designing a specific primer using BioEdit software. The Oligo Evaluator and NCBI’s Blast (Basic Local Alignment Search Tool) web tool for performing primary specification validation. The next stage is the sample preparation, DNA isolation, DNA amplification, DNA quality and quantity testing, and realtime PCR analysis. Primer’s design of target species Prionace glauca using cyt b gene and degenerate primer for genus Carcharhinus spp. COI gene markers were successfully carried out in silico. Efficient real-time PCR conditions of Prionace glauca and Carcharhinus spp. complies with testing standards using the real-time PCR method.
Soil Fertility Evaluation in Long-term Paddy Field on Small Island: A Preliminary Research in Savana Jaya Village, Buru Island, Maluku Province, Indonesia
Authors: Siregar Adelina , Osok Rafael M. , Kaya Elizabeth , Ely M. Ais , Wamnebo Siti I.R.
Published: February 2024

Efforts to increase rice production continue to face severe challenges, primarily attributed to the declining quality of paddy field soil resources. This study aims to investigate the management of fertilizer utilization and chemical properties of six rice paddy soils in Savana Jaya Village, Waeapo District, Buru Regency. Additionally, it seeks to assess the soil fertility status after 10 to 40 years of continuous rice planting and recommend an approach for fertilizer application. These fields were selected using a purposive sampling method. The soil samples were analyzed total nitrogen (N), potential phosphorus (P), and potential potassium (K) content, as well as cation exchange capacity (CEC). Rice production data was collected by interviewing farmers. The results showed that the soil organic C content and the total N were very low to low, the potential P status was moderate to very high, the potential K status was low to moderate, and the CEC-s of all fields were very low. The soil fertility status of all fields was very low. Organic matter is essential for maintaining the health and fertility of paddy soil, particularly in small islands where the soil is often subjected to intensive use of inorganic fertilizers, posing potential environmental contamination concerns.
Some Biological Aspects of Mud Crabs (Scylla serrata) in Mangrove Ecosystem, Banda Aceh and Aceh Besar
Authors: Dewiyanti Irma , Yunita  , Deviana Tina , Nurfadillah  , Octavina Chitra , Valentino Roby Anandra
Published: February 2024

In the study area, mud crabs S. serrata has high economic value and one of the biota aquatics cached by fishermen. However, their presence is decreasing due to anthropogenic activity and the changing of habitat characteristics. The aims of the study are to analyse morphometrics and growth pattern of mud crabs (S. serrata), and to analyse the biological aspects of mud crabs. The research was conducted in December 2022 until March 2023 located in mangrove rehabilitated at Cadek Village (location 1), and Deah Raya village (location 2), Aceh Province. Purposive sampling method was applied to determine the research location. Totally, 120 mud crabs’ samples were obtained and sample was carried out at Marine Biology Laboratory, USK. The growth pattern of the male mud crab showed a positive allometric, while the female showed an isometric growth pattern for both locations. Furthermore, the sex ratio of male and female in the 1st location was unbalanced (1:2) and balanced in the 2nd location (1:1.14). The gonad maturity level (GML) of mud crabs in both locations was dominated by level one gonad maturity. The biological aspect study can be one of the future conservation approaches in maintaining sustainability of mud crabs in mangrove ecosystem.
The Shadow Blue Economy: Optimizing non-target Catch of the Blue Swimming Crab Fisheries in North Coast of Central Java, Indonesia
Authors: Zairion Zairion , Nurhijayat Akhmad , Adrianto Luky
Published: February 2024

Blue Economy is the concept of sustainable use and management of resources, including small-scale blue swimming crab (BSC) fisheries. The coastal area of Pati District is one of the BSC landing bases on the north coast of Central Java (part of Indonesian Fisheries Management Area/IFMA 712). However, there has been no study of non-target composistion as a complement to exploratory analysis to better understand the complexity of the social-ecological systems in the BSC fisheries in this region. The purpose of this study is to identify of economically non-target species, Correlation between economically non-target with target species and trend of their proportions, optimizing non-target catch value during Covid-19 pandemic. The biological data was collected from the daily logbooks of BSC middleman, which included catches from 368 individual fishers from January 2019 - March 2021. The socio-economic data was obtained by structured interviews and group discussion. The analytical methods were used such as identification, correlation and trend analysis, and descriptive analysis. The economically non-target species found include Scylla serrata, Charybdis feriatus, squid and cuttlefish (cephalopods), Charybdis afinis, Podopthalmus vigil, Portunus sanguinolentus, and Babylonia spirata (mollusc). Significant correlation between BSC catches decreased, while the catch of Scylla serrata and Charybdis feriatus are increased. The trend of economically non-target BSC fisheries decreased for sale during the Covid-19 pandemic and shadow economic occurred with the changed of fishermen behaviour who were previously commercial fishers to be subsistence fishers. The other shadow blue economy also occurred since mud crab were frequently caught as the non-target species.
Pygmy Blue Whale Home Ranges and Their Overlaps with Indonesian and Australian Marine Protected Areas: Comparison between a-LoCoH and BBMM Methods
Authors: Sahri Achmad , Jak Charlotte , Murk Albertinka J. , van Lammeren Ron J.
Published: February 2024

Information on the distribution of marine migratory species is lacking, and for a long time, these species have been overlooked in the designation of Marine Protected Areas (MPAs). This study analysed the home range of pygmy blue whales (PBWs) from western Australia to eastern Indonesia to be able to assess the overlap with current MPAs. In this study, data from 11 individual PBWs tagged in the Perth Canyon were used. Two home range methods, adaptive Local Convex Hull (a-LoCoH) and Brownian Bridge Movement Model (BBMM), were performed and compared to identify core use areas and connections between these areas (i.e., migration corridors). By assessing the relative properties and visually inspecting the home ranges, 90% BBMM (home range and migration corridor) and 50% BBMM (core use area) are chosen as the best results, because they cover the connected core-use areas to a large extent. The home ranges that were covered by current MPAs were only 2% in Indonesia and 16% in Australia. Important migration corridors without current protection are in the east Savu Sea, south of Timor Island, and wider Banda Sea. It is noteworthy that comparing methods is relevant to be able to choose the most suitable method for the data used and the goal of this study. The limited overlap between the calculated home ranges and the MPAs of the Indonesian waters articulates the importance of in-depth scientific studies to be able to evaluate, implement and develop marine conservation planning.
Investigation and Analysis of Fish Assemblages within The Berau Bay Ecosystem, West Papua, and Their Utilization Potential
Authors: Maulana Riyan , Jabbar Meuthia Aula , Yonvitner  , Ma’mun Asep , Zahid Ahmad
Published: February 2024

Fisheries resource assessment is pivotal for grasping marine ecosystem dynamics and guiding sustainable management practices. This study focuses on exploring the fisheries resources within Berau Bay, situated in the biodiverse-rich West Papua Province, known for its significant marine biodiversity and importance to local livelihoods. Despite its importance, there is a notable absence of comprehensive assessments concerning the bay’s fisheries resources and their utilization potential. This research endeavors to fill this gap by providing a detailed analysis to inform sustainable management strategies. Our findings reveal a diverse range of fish families dominating Berau Bay, with significant contributions from Carangidae and Scombridae. Moreover, acoustic surveys uncover substantial Fisheries Resource Potential (FRP) across three zones: Zone 1 at 501.555 tons, Zone 2 at 854.634 tons, and Zone 3, primarily designated as a conservation area, at 678.188 tons. The cumulative FRP potential amounts to 2.034.377 tons, encompassing various species categories, with an estimated annual utilization rate of around 1.627.502 tons. These results challenge previous assumptions regarding the bay’s fisheries composition and potential, emphasizing the necessity of updated assessments. Additionally, they enhance our understanding of the region’s marine biodiversity, underscoring the urgency of targeted conservation efforts for sustainable resource management. This study emphasizes the significance of holistic approaches to fisheries management, integrating ecological, socioeconomic, and conservation considerations. Such interdisciplinary efforts are paramount for safeguarding marine ecosystems and supporting the livelihoods of coastal communities worldwide.
Antibacterial Activity and Molecular Identification of Soft Coral Sinularia sp. Symbiont Bacteria from Karimunjawa Island against Skin Pathogens Propionibacterium acnes and Staphylococcus epidermidis
Authors: Wulandari Dyah , Amatullah Lutfiana Hary , Lunggani Arina Tri , Pratiwi Alberta Rika , Budiharjo Anto
Published: February 2024

Soft corals can produce bioactive compounds that act as antibacterials. Sinularia sp. is a soft coral that can produce antibacterial compounds. Symbion bacteria are bacteria that can produce bioactive compounds that tend to be the same as their host. The use of symbiont bacteria can be an alternative to exploit the potential of Sinularia sp. without harming marine life. This study aims to determine the antibacterial potential of the symbiont bacteria obtained from the soft coral Sinularia sp. in inhibiting the growth of Propionibacterium acnes and Staphylococcus epidermidis. The antibacterial activity test was carried out by the agar diffusion method using disc paper. Antibacterial activity was indicated by the formation of a clear zone around the disc paper. The results showed that LA7 isolate had the best antibacterial activity with an average clear zone size of 14.6 mm against Staphylococcus epidermidis and 16.6 mm against Propionibacterium acnes. LA7 isolates identified species based on the 16S rRNA gene with primers 27F and 1492R. Based on molecular species support, it was found that LA7 isolate is Bacillus aerius with a homology level of 98.17%.
Systematic Analysis of Factors Affecting the Competitiveness of Business Entities
Authors: Bektemirov Abdumalik , Ozodbek Jumaqulov
Published: February 2024

in this article, the factors affecting the competitiveness of business entities are systematized, and the characteristics of their impact on business activity are revealed. At the same time, ways to ensure competitiveness in business by monitoring them have been shown.
Justification of the Value of Well Drilling During Explosion of Leads
Authors: Umarov F.Y. , Nasirov U.F. , Makhmudov D.R. , Ochilov Sh.A. , Kudratov I.A. , Raimkulova S.M.
Published: February 2024

The article considers the influence of the strength of rocks, the type of explosive height, the diameter and length of the charge in the drilling of wells on the quality of crushing rocks. It has been established that about 50% or more of the length of the drilled well is used irrationally, and only 50% is used for its intended purpose for destroying the explosive charge in order to destroy the massif by explosion. To determine the effect of the distance between the charges on the value of the resistance overcome along the sole, industrial experiments were carried out at the quarries of the NMMC and AGMK.
A study on health issues of leather industry workers
Authors: Mary T. Thomaiya Alphonsa , Jegadeeswari S.
Published: February 2024

Leather manufacturing company workers faced so many health issues. This study explores to investigate the health issues faced by workers in a leather manufacturing company located in Vaniyambadi District. Through a comprehensive assessment of the workers' health, including surveys, interviews, and analysis of medical records, the study identifies the prevalent health concerns and explores potential contributing factors. The findings reveal that workers in the leather manufacturing company experience a range of health issues, with body ache, joint pain, and headache being the most common problems reported. Other health issues identified include teeth problems, irritation in feet, urinary tract discomfort, giddiness, eye irritation, chest irritation, stomach discomfort, and various other symptoms. The study assesses the work environment and job tasks to identify potential occupational health risks that may contribute to the observed health issues. Factors such as long working hours, exposure to hazardous substances, ergonomic challenges, and inadequate safety measures are examined. Based on the study findings, recommendations are provided to address the identified health issues. These include implementing ergonomic improvements, enhancing health and safety training programs, providing personal protective equipment, and fostering a culture of health and well-being within the organization. The results of this study contribute to the understanding of health issues among workers in the leather manufacturing industry, providing valuable insights for the company and relevant stakeholders to enhance occupational health and improve worker well-being.
Comparative Performance Analysis of Novel Single-Slope Conventional Solar Still and Solar Still with ZnO Water Nanofluids through Experimental Investigation
Authors: Sailash N. , Sakthivel T.G.
Published: February 2024

Aim: This research primary aim is to explore efficiency of utilizing ZnO nanoparticles in elevating the solar still productivity for purifying saltwater into freshwater. The study involves a comparison of the output of a solar still with and without the use of nanoparticles to assess the influence of ZnO nanoparticles on the still's performance. The results of
this investigation are expected to contribute to the development of more sustainable techniques for converting seawater into freshwater. Material and Methods: Two sets of experiments were conducted in this research: Group 1, which utilized a conventional solar still without ZnO nanoparticles, and Group 2, which utilized a modified solar still containing ZnO nanoparticles. The study included a total of 40 samples, with 20 samples in each group. SPSS software was used to calculate the size of the samples. The data analysis was conducted using descriptive statistics to obtain the mean and standard deviation of the results. The data gathered from the experiments were analyzed using SPSS software. Results: The study found that the most effective systems for reducing the payback period for the still with ZnO nanofluids were up to almost 3 years. This duration is lower than that of the still with ordinary water, and they also outperform carbon nanotubes and other nanofluids. The mean amount of clean water produced by Group 1 and Group 2 was compared using an independent t-test sample. Using SPSS v26 statistical software an samplet test was conducted on the obtained results, and the significance was ensured from the obtained (two- tailed) test p value 0.000 (p< 0.05).

Conclusion: The utilization of ZnO nanoparticles as an additive to the base fluid has led to a considerable improvement in the solar still's productivity. The addition of ZnO nanoparticles at a concentration of 0.3% has significantly increased the daily yield, evaporation, and condensation rates. This enhancement in performance can result in a boost of up to
Study of Forest Fire Severity through Normalized Burn Ratio Analysis using Remote Sensing
Authors: Sivakumar Vidhya Lakshmi , Raju Anand , A.V. Sundaram
Published: February 2024

Forest fires are a type of natural catastrophe that poses a risk to the vegetation and fauna of the hill stations. Due to the presence of vast enormous areas of land adorned with aged trees, vegetation, and wild life, safeguarding the ecosystem is both critical and arduous. A Geographic Information System and Remote Sensing assist in resolving this issue through the continuous monitoring of the forest using satellite, aerial, and drone-based imagery gathered from a variety of sources in India and Abroad. Landsat8 series Band 4, Band 5, Band 6 and Band 7 is used for the study. Following the correction and analysis of reflectance values for pre-fire and post-fire imagery, the Normalized Burn Ratio (NBR) is computed and processed. Finally, the difference in NBR based on the pre-fire event and post-fire event for the Yercaud hill station is analyzed and the severity level is classified for the chosen area of interest.
A Study on Waste Disposal Management and Recommendation for Safe Disposal
Authors: Anam Hajera , Ambad Ranjit , Deshmukh Priyanka , Kalambe Minal
Published: February 2024

By conducting awareness campaigns, putting safety measures in place, and collaborating with a specialist to remove medical wastes properly, you can do your bit to reduce the hazards associated with improperly managing these wastes. To protect your facilities and personnel, handling biohazardous waste disposal is crucial. Suppose a biohazardous waste container such as a sharps container or a hazardous waste container is not properly disposed of. In that case, it might seriously endanger the safety of both personnel and guests. Biohazardous waste management may also involve transporting biohazardous items to a designated area for safe disposal. Safe ecosystems and healthy populations depend on effective biomedical waste treatment. The opinions on BMWM, laws, customs, and treatment methods now in use across the world are reviewed in this article. The best-case scenario would be for B7 yMWM to be the focus of a national plan with specialised infrastructure, cradle-to-grave laws, an effective regulatory body, and trained employees.
An impact of employee motivation on organizational performance: (A special reference with car dealership industries)
Authors: K. Kalaivani , S. Venkatachalam
Published: February 2024

A great company strategy must include employee motivation. Low morale and a lack of motivation among employees could be a major issue for businesses that wishes to turn a profit in the marketplace, regardless of how attractive the products and services a company is offering, how effective the company's business and marketing strategy are, and what size of budget a company has to operate.Most organizations today have realized that a satisfied employee is required in terms of organizations productivity. It’s only an engaged employee who is intellectually and emotionally bounded with organization and its goal and targets committed to its values. “When an employee is highly motivated, he goes the extra mile beyond the basic job responsibility and is associated with actions that drive the business”.
Analysis of Factors Contributing to Economic Disruption Caused by COVID-19 in State of Odisha
Authors: Mohamed Aezeden , Muduli Kamalakanta
Published: February 2024

The COVID-19 pandemic has had a devastating impact on the world, causing significant losses in life, employment, and work hours and wreaking havoc on the economies of many nations. A study was conducted to investigate the factors that contributed to Odisha's economic decline during the pandemic, which is one of India's states. The study surveyed 20,000 samples and employed the K-Mean clustering approach to identify six clusters. Each cluster was represented in a table. Lastly, the soft computing technique explored the property of interest.
Clean Development Mechanism: Indian Step Sustainable Environment
Authors: Shrivastava Abhinav , Lourens Melanie , Sharma Anupam , Bajaj Shivani
Published: February 2024

The Kyoto Protocol established the Clean Development system (CDM), a cooperative system that might help developing nations achieve sustainable development by encouraging environmentally conscious investment from firms and governments in affluent nations. An overview of the CDM's history, composition, and project cycle is given in this publication, which also looks at the benefits and potential value for participating developing nations like India. The Ozone layer is being weakened by pollution brought on by an increasing population. On our earth, every species is in danger of being extinct. The primary conclusions are: With the aid of the Kyoto Protocol, three formal methods for global emission reduction were established: Joint Implementation (JI), Clean Development Mechanism (CDM), and International Emissions Trading (IET). It raises public awareness, and with the aid of certified emission reduction units, some environmental organizations developed the idea of carbon trading. The CDM offers both industrialized and developing nations a win-win scenario. Businesses in India such as Gujarat Fluoro Chemicals, Tata Steel, NTPC, ONGC, and others can obtain several facilities abroad by using CERs. Through the exchange of credits and reduction of GHG emissions, carbon trading and CER "claims" to avert the impending disaster. Therefore, it can be concluded that imposing carbon prices with refunds is an effective strategy to address the pre-existing issue.

Since reducing greenhouse gas (GHG) emissions is a worldwide public good and the location of emission reductions has no bearing on the global stock of GHG, the CDM's premise is that reductions in emissions should be made where they can be done for the least amount of money. The findings shed light on potential difficulties in navigating market mechanisms in the future and show how the Carbon Offset Management (CDM) program has provided nearly 20 years of knowledge and expertise in the area of global carbon offset governance.
ANOVA Study on Wear Parameters in Aluminum metal matrix Nano Composites
Authors: Manikandan M. , Prabhavathi K. , Santhosh Kumar C. , Al-Attabi Kassem , Saxena Archana
Published: February 2024

In this paper, the effect of wear parameters on the wear rate of AA5086 alloy reinforced with Alumina (Al2O3) and Titanium boride (TiB2) is investigated. The Al2O3 content is fixed at 5wt%, while the variation in TiB2 content is considered as one of the parameters. The preparation of AA5086/Al2O3/TiB2 hybrid nano composite is carried out using the stir casting technique. To formulate the experimental design, response surface methodology (RSM) is employed, and four factors at three levels are selected using the Box Behnken design. The chosen process parameters include reinforcement wt% (5%, 7.5%, 10%), load (30N, 40N, 50N), sliding speed (500rpm, 600rpm, 700rpm), and sliding distance (400m, 450m, 500m).The results indicate that the highest wear rate of 0.09876 mm3/Nm is observed when using a load of 50N, sliding speed of 500 rpm, sliding distance of 400m, and a reinforcement content of 5%.An analysis of variance (ANOVA) is performed to determine the significance of each factor on the wear rate. According to the ANOVA results, it is found that load is the most critical factor contributing to the increase in wear rate, followed by sliding distance, sliding speed, and reinforcement content.
A Study On Stress Management Among Employees Towards Alloy Industries With Reference To Coimbatore
Authors: Sandya M. , Kumar K. Srivignesh
Published: February 2024

In order to boost strength or corrosion resistance, two or more metallic components are mixed to form an alloy, which is a type of metal. A metallic material composed of two or more elements is called an alloy, sometimes known as a compound or a solution. Although the non-metal carbon is an essential part of steel, the constituents of alloys are normally metals. Alloys are often created by melting the mixture of components. According to customer specifications and drawings, Alloys Industries manufactures and exports a variety of machined and un-machined castings made of Carbon Steel, Stainless Steel, Low Alloy Steel, Heat Resistant Steel, Martensitic Stainless Steel (CA6NM), Precipitated Hardened Steel (CB7Cu-1), Nickel Alloy, and Duplex Stainless Steel. The phrase "stress managements" is broad and includes training, facilitation, and education about the effects that stress has on an individual or group. The study of stress management fosters and encourages the development of coping mechanisms. Employees' physiology and psyche are stressed out by organisational elements such management-labor relations, working conditions, resource distribution, the role of trade unions, employee behaviours, etc. The working practises and policies of an organisation are among its most important influencing variables. This study examined the occupational stress experienced by Alloy Industries in Coimbatore, employees in great detail.
Experimental and Statistical Study of Flexural Strength in Concrete using Novel Kaolinite Coal
Authors: Ayampalayam Nanjappan Swaminathen , Manogaran Siva , Alphonse Belin Jude , Balasubramanian Hemalatha , Razack Nasar Ali
Published: February 2024

The purpose of this research is to measure the flexural strength of both traditional and newly modified concrete beams with kaolinite coal added. Two sets of eighteen samples each were ready for the data collection. Two sets of specimensare prepared: 18 specimens of one set using modified concrete that has been treated with kaolinite coal, and the other set of 18 specimens using traditional concrete beams. The preparation and examination of the samples involved the use of flexural strength test equipment. The beam specimen size was taken as 100 x 100 x 500mm. The SPSS software version 29 has been utilized to conduct the independent sample T-test. The statistical analysis included Levene’s test for equality of variances and a t-test for equality of means to assess the flexural strength of two groups. Levene's test revealed a significant difference in variances between the groups (F=2.909, p=0.097). Subsequently, the t-test assuming equal variances indicated a highly significant difference in means (t=-16.954, df=34, p=0.000). The mean difference in flexural strength was -1.43578, with a standard error of 0.08469 and a 95% confidence interval ranging from -1.60788 to -1.26367. The t-test assuming unequal variances corroborated the significant difference in means (t=-16.954, df=29.822, p=0.000), with a consistent mean difference and confidence interval. The modified concrete beam sample with kaolinite coal added has a mean flexural strength of 4.75 N/mm2, while the standard concrete beam sample has a mean flexural strength of 2.73 N/mm2.
BiBitcoin Price Prediction using Recurrent Neural Networks and Long Short-Term Memory
Authors: Sudhakaran Pradeep , Sharma Vaibhav , Khandelwa Shreyanshi
Published: February 2024

Bitcoin's decentralized nature has made it a popular mode of payment for buyers and sellers, but its highly volatile nature poses a challenge for investors. This study aims to predict future Bitcoin prices using a combination of Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) algorithms. The non-stationary nature of Bitcoin prices is addressed using RNN, which is particularly useful for analyzing sequential data.The dataset used in this research is sourced from the Kraken exchange and includes various factors that are believed to influence Bitcoin prices, such as transaction volume, hash rate, and Google search trends. The data is preprocessed and cleaned to ensure accuracy, and then fed into the RNN and LSTM models for training and testing.The study's use of RNN and LSTM algorithms demonstrates the effectiveness of these methods in predicting Bitcoin prices, particularly in the context of sequential data. The results of the study, provide insights into potential future trends in Bitcoin prices and identify key indicators that significantly influence Bitcoin prices. The findings of this research have important implications for investors and traders looking to make informed decisions in the cryptocurrency market, as well as for researchers seeking to improve our understanding of Bitcoin's price dynamics. By predicting future prices, the study provides insights that can mitigate the risks associated with Bitcoin's volatility, making it a more viable investment option.
Comparative analysis of mammary lump histology and elasto-graphy results at a tertiary hospital
Authors: Sune Seema , Ambad Ranjit , Jha Rakesh Kumar , Jadhav Deepali , Dhawade Manish Ramdas , Wankhade Yashwant
Published: February 2024

In the majority of India's metropolitan populations, mammary carcinoma has become the commonest type of carcinoma. A non-invasive imaging method called mammary sono-elasto-graphy can reveal information about mammary lesions. Aims & objectives: In the current research, we examined the diagnostic efficacy of elasto-graphy and histopathological findings of mammary lumps. Material and Methods: The current investigation involved Female patients had solid mammary lesions less than 3 cm in size that were visible on sonography. Classified as BI RADS 3 and 4 lesions, these lesions. Results: 252 female patients had U.S.G. elastography, followed by biopsy or surgery, and histopathology reports were available during the research period. Histopathologically, 104 (41.72%) samples were benign, and the remaining 148 (58.73%) were malignant. Age, B.I.R.A.D.S., Elastography Score, and Strain Ratio were all statistically higher in malignant cases than in benign patients (p 0.001). According to Histo-pathological analysis, fibroadenoma (77.03%) accounted for the majority of benign lesions, followed by Abscess (5.41%), sclerosing adenosis (1.35%), benign fibroepithelial lesion (6.76%), and fibrocystic disease (9.46%). Conversely, poorly differentiated invasive carcinoma (5.77%), invasive ductal carcinoma (67.31%), and invasive mucinous carcinoma (13.46%), IL.C. (5.77%), medullary carcinoma (1.92%), papillary carcinoma (1.92%), and phylloid (1.92%) made up the bulk of malignant cases, Excellent results were noticed with the combination of Ultrasound Score + Elastography Score + Strain Ratio, with scores of 96.00%, 96.05%, 96.03%, 94.12%, and 97.33%, respectively, for susceptibility, accuracy, diagnostic accuracy, and N.P.V. and PPV. Conclusion: The ability to distinguish between benign and malignant mammary masses using ultra-sound elasto-graphy, strain elasto-graphy, and ultra-sound score has good susceptibility, accuracy, and
diagnostic accuracy.
Parents and teenagers mental health suggestions chatbot using cosine similarity
Authors: Infant Alwin , A. Indirapriyadharshini , P. Narmatha
Published: February 2024

Parents today have a particularly hard time empathising with their children' worries, and teenagers themselves are having trouble finding solutions. To become a better version of themselves, everyone needs counsel. The most important part of being human is having mental support, which is especially important during adolescence when a person starts to feel a variety of emotions and his or her parents are itself new to that and have to deal with it. So, we are talking about this issue in this paper to discover answers and give advice to both parents and children using a chatbot. The dataset is gathered by examining teen behavior changes, and the system is trained using NLP and cosine similarity.
Human Activity Recognition on Smartphones using Innovative Logistic Regression and Comparing Accuracy of Naive Bayes Algorithm
Authors: Reddy L. Anand Kumar , Sadagopan P.
Published: February 2024

The objective of this study is to compare the Naive Bayes algorithm with Innovative Logistic Regression in order to enhance human activity identification for sitting and walking. To predict human activity, Naive Bayes and Innovative Logistic Regression are used with different training and testing splits. From each group, ten sets of samples are selected, yielding a total of twenty samples. About 80% of the data from an independent sample T test were utilized in the Gpower test (g power setup parameters: α = 0.05 and power = 0.80, β = 0.2). Compared to Naive Bayes (90.7210%), Innovative Logistic Regression (95.5680%) has higher accuracy, with a statistical significance value of P = 0.003 (p < 0.05). When compared to Naive Bayes, Innovative Logistic Regression has higher accuracy.
Human Activity Recognition on Smartphones using Innovative Logistic Regression and Comparing Accuracy of Extra Gradient Boost Algorithm
Authors: Reddy L. Anand Kumar , Padmakala S.
Published: February 2024

This work uses innovative logistic regression and extra gradient boost to compare and enhance human activity recognition for walking and sitting.Novel logistic regression and Extra Gradient Boost are applied with distinct training and testing splits to predict human activity identification.From each group, ten sets of samples are selected, yielding a total of twenty samples. About 85% of the Gpower test (g power setup parameters: α=0.05 and power=0.85, ß=0.2) comes from a T test on an independent sample.Compared to Extra Gradient Boost (90.1850%), Innovative logistic regression (95.5680%) has higher accuracy, with a statistically significant value of p = 0.001 (p < 0.05). When compared to Extra Gradient Boost, Innovative logistic regression has higher accuracy.
Gabbroid Rock of Karakalpakstan Valuable Raw Materials for the Production of Portland Cement
Authors: Orazimbetova Gulistan , Uspanov Ajiniyaz , Turdialiev Umid
Published: February 2024

The results of a study of the chemical composition of technological samples of the “ Dusshebulak ” limestone, the “ Sheikhdzhelil ” gabbroic rock, the dune sand of the “Muynak” deposit and the brown ferruginous rock “ Khujakul ” are presented in order to determine their compliance with the requirements set by O ’ z DSt 2950:2015 “Raw materials for the production of Portland cement clinker. Technical specifications” for the chemical composition of carbonate, aluminosilicate raw materials and igneous rocks used in the production of Portland cement clinker.
Regional Characteristics in the Dynamics and Location of the Rural Population of the Republic of Uzbekistan
Authors: Tojiyeva Zulkhumor , Omanova Kamola , Pardayev Nodirbek , Jaloliddinov Nizomiddin , Musayev Bekzod , Khursanov Sadriddin
Published: February 2024

Today, population settlements of the Republic of Uzbekistan, especially rural settlements, ensure the increase of the main population. Therefore, in this article, rural population settlements in the republic, the number and increase of their population were studied in the section of economic districts and regions. The reforms carried out in Uzbekistan in the last 30 years and how their results are reflected in the size, number and weight of rural settlements were proved by determining the rate of population growth, distribution in the territorial structure, density of villages and the distances between them.The unique geographical location of Uzbekistan and the location of the rural population of the regions in it, the role and importance of the increase in the rural population in the growth of the country's total population were revealed. In particular, the crowded and dense concentration of villages in the Ferghana Valley, which occupies the first place in terms of population density not only in the republic, but also in the Republic of Karakalpakstan, which has a large land area and a small population, and the increase in the number of rural residents in the Navoi regions, the differences in the territorial structure were clearly highlighted. Efforts were made to thoroughly research the effect of the work done on increasing the level of urbanization in the republic, the role of the rural population and the actual situation within the framework of rural districts and villages.
Sketch and algorithm to web translation using faster RCNN and NLP
Authors: Sharmila V. Ceronmani , Vinish P. , Lokesh P. Nikhil , Subramanyam D.V.
Published: February 2024

User important role of software is development. Creating an innovative and enhanced user experience is a key goal for IT businesses of all sizes and it is an interaction driven by quick prototyping, design and user testing cycles. It requires a lot of cash and exertion just to fabricate a creation grade site. The understanding objective is to utilize present day profound learning calculations essentially improve on the plan work process and empower any business to make site rapidly. The proposed deep learning model converts drawn image into Html code using faster RCNN and algorithm to JS code conversion using NLP. The proposed ml learning project comprises of a Regional convolutional neural network which helps in building a complete website corresponding to the user's sketch, including functionality of the sketch.
Internet Addiction Amongst Students of a Medical College in Central India: A Cross-Sectional Study
Authors: Narayan Umale , Himani Shemar , Anupam V. Rathod , Manish Ramdas Dhawade , Jadhav Deepali , Associate Yashwant Wankhade
Published: February 2024

Internet addiction is an upcoming problem that has been considered as an important public health problem and the position of India comes after China, US and Japan in terms of highest number of internet users. To assess the usage of internet among students of Medical college and to classify levels of internet addiction. A questionnaire based crosssectional study was planned. Students of 1st year, 3rd year and interns were selected to participate in study. Young’s Addiction Test was used as a tool to assess and classify internet addiction. Data was entered and analysed in Epiinfo7. 49.75% (199) students has mean score between 50-79 which indicates moderate dependence on internet whereas 36.50 (146) students has mean score of 31-49 and 3.75% (15) students show mean score between 81-100 which indicates mild and severe dependency on internet respectively. 10% (40) students has mean score between 0-30 which indicates normal internet usage. the internet usage among medical students is on rise which should be taken care of with care and special program should be taken to create awareness amongst students.
Stir Speed and Reinforcement Effects on Tensile Strength in Al-Based Composites
Authors: Rajendran S. , Arulpandy P. , Reena R. , Thakur Gaurav , Al-Jawahry Hassan M.
Published: February 2024

This study focuses on the preparation of Al-based hybrid composites using AA7475 as the main alloy reinforced with two materials, ZrO2 and SiC. The combination of stir-squeeze processing techniques was employed to create various specimens by varying four parameters: Stir-speed, Stir-time, reinforcements, and squeeze pressure. Taguchi design was utilized to generate specimens for analyzing their mechanical properties, specifically tensile strength, hardness, and porosity.The results indicated that the highest porosity (4.44%) was observed in the L16 test, with a combination of 700rpm stir speed, 25 mins stir time, 2wt% reinforcements, and 80MPa squeeze pressure. On the other hand, the lowest porosity (2.61%) was found in the L7 test, with 800rpm stir speed, 30 mins stir time, 2wt% reinforcements, and 100 MPa squeeze pressure.Regarding tensile strength (UTS), the maximum value (285.23MPa) was achieved in the L13 experiment, while the minimum value (187.58 MPa) was observed in the L1 experiment. This variation in UTS can be attributed to the applied load, the strengthening effect of the reinforcements, and the grain size of SiC.
4th EPS TIGS Hands-on Event: enlarging the horizon of young physicists and engineers
Authors: Bucks Margo
Published: February 2024

With the idea of bringing students together from all over the continent to innovate, to experiment and learn with the expertise of field specialists, the Technology and Innovation Group (TIG) of the European Physical Society in collaboration with IdeaSquare (CERN) has organised the fourth edition of the “EPS TIG Hands-on Event for Science, Technology and Interfaces”.
A nobel prize for attosecond physics based on extreme nonlinear optics
Authors: Dombi Péter , Kienberger Reinhard
Published: February 2024

Nobel Prizes related to lasers are awarded for their application in pioneering research areas, as was the case in 2023. Lasers are closely linked to 13-14 Physics Prizes, involving new discoveries, inventions, or research methods. The list is long, including optical fibers, optical tweezers, frequency combs, femtochemistry research, and research related to trapped particles. Lasers also play a crucial role in detecting gravitational waves and in holography. The 2023 award fits into this powerful series. The Prize and the oeuvre of Pierre Agostini, Ferenc Krausz and Anne L’Huillier shows how state-of-the-art laser technology enabled the emergence of extreme nonlinear optics and attophysics and, in turn, how attosecond science triggered the development of revolutionary light sources that are now used in medical diagnostics research or the semiconductor industry.
My experiment agrees with the theory!
Authors: van Tiggelen Bart
Published: February 2024

Many wise men, from Aristotle and Socrates to Descartes and Spinoza, struggled with epistemology, sometimes called the theory of knowledge. It is one of the most controversial topics of philosophy. What are our sources of knowledge and, more importantly, how do we acquire and improve knowledge? And where do we, physicists, stand?