bluuebunny/crossref_metadata_2025 huggingface dataset:
Observation of Egg and Larval Quality of Milkfish (Chanos-chanos Forskall) G1 and G0 Broodstock in Controlled Tanks Supports The Development and Cultivation of Milkfish in The Community
Authors: Dharma Tony Setia , Wibawa Gigih Setia , Marzuqi Muhammad , Zafran  , Tridjoko
Published: February 2024

Milkfish, a key aquaculture commodity, is vital for industrialization and food security. Obtaining milkfish seeds from nature is challenging, but hatcheries, especially in Buleleng north coast, can produce them in large quantities. However, the varying quality of milkfish eggs has led to a decline in seed quality. Research on G1 and G0 milkfish broodstock development is necessary. The aim is to assess the performance and spawning of G1 and G0 broodstock reared in controlled tanks to aid community cultivation. The study used a descriptive method to evaluate the spawn, eggs, and fry of G0 and G1 broodstock. Results showed that G1 and G0 broodstock have similar spawning and egg quality. G1 broodstock can produce 42,940,000 eggs, with 60-82% fertilization and SAI 2.50-4.12, while G0 can spawn 55,940,000 eggs, with 50-80% fertilization and SAI 2.00-4.40. The G1 derivative’s performance and egg quality are consistent, and the eggs are like the G0 natural broodstock. Milkfish fry production and pond culture cultivation continue to develop in the archipelago.
Estimation of Carbon Stock in The Seagrass Meadows of Jelenga Bay, West Sumbawa, Indonesia
Authors: Irda Muhammad Hizrian , Choesin Devi Nandita , Yusuf Muhamad Salamuddin , Waworuntu Jorina , Asian  , Setianto Agus , Noerfahmy Sephy
Published: February 2024

Blue carbon is a term used to describe the carbon stored in coastal and marine ecosystems. Research and conservation of blue carbon sinks like seagrass meadows are important in mitigating global climate change. This research aimed to estimate blue carbon stored in the seagrass meadows ecosystem of Jelenga Bay, West Sumbawa, Indonesia. Carbon stock in the seagrass community was estimated based on correlation analysis of density, biomass, and organic carbon content. Meanwhile, the correlation analysis of dry bulk density and organic carbon content was used to estimate the susbtrate carbon stock. Four seagrass species were found in Jelenga Bay, i.e., Enhalus acoroides, Thalassia hemprichii, Cymodocea rotundata, and Halodule pinifolia. Carbon stock estimation of the seagrass community within 107.1 hectares area showed that aboveground biomass stored 19.1 Mg of carbon (0.18 Mg C/ha), whereas belowground biomass stored 28.4 Mg of carbon (0.26 Mg C/ha). Carbon stock estimation in seagrass meadows substrate (in 1 meter depth) stored 4,590.0 Mg C (42.86 Mg C/ha). The substrate at 70-100 cm depth contributed the highest amount of carbon stock, i.e., 14.9 Mg. However, for the organic carbon content, depth of 1530 cm showed the highest result (0.341 % of Dry Bulk Density).
Analysis of Boid Algorithm Weights using Alignment Clustering Index
Authors: Rahman Faiz Aulia , Mukhaiyar Utriweni , Virdi Sparisoma
Published: February 2024

Fish that engage in a school often exhibit unique patterns. Schooling behaviour itself has multiple benefits, among them increasing their likelihood of obtaining food and reducing the risk of predator threats. One of the methods used to simulate this behaviour is boid, proposed by Reynolds. There are three main rules that govern how each boid moves in a group: cohesion, alignment, and separation. Each rule is controlled by a weight parameter that could be changed to encourage or discourage certain rules. This study is aimed at analysing the boid weight parameters, specifically cohesion and alignment, utilizing the Alignment Clustering Index (ACI). The findings indicate that as the weight of alignment increases and the weight of cohesion decreases, boids tend to exhibit more pronounced flocking behaviour. On the contrary, as the weight of cohesion increases and alignment weight decreases, boids move as smaller subgroups comprising about 2-3 members each.
Measurement of Sustainable Development Implementation in Coastal and Ocean Bontang City through State of the Coast Measurement Processes
Authors: Isdahartati  , Solihin Akhmad , Damar Ario , Wahyudin Fakhri , Rikardi Novit , Narsice Ingrid
Published: February 2024

Development of a coastal area in a sustainable manner, it is necessary to integrate both governance aspects and sustainable development aspects through an integrated coastal management framework approach, starting from preparation, initiation, development, adoption, implementation, refining, and consolidation. At the preparation stage, basic data are compiled in comprehensive and integrated measures of government policies in overcoming environmental problems as outlined in the State of the Coast (SOC) report. The purpose of SOC report development is to identify gaps and review from the aspect of Governance and Sustainability with 11 elements and 36 indicators based on the SDG’s and SDS SEA Programs in a coastal area. The results of the SOC report are used as a basis for local governments to formulate policies for decision-making. Based on an assessment in Bontang City, aspects of governance, elements of policy, strategy, and planning are still relatively lacking. From the sustainable development aspect, elements of food security and livelihood improvement, management and reduction of pollution, utilization, and management of water resources and their recovery still need to be improved.
Distribution Analysis of Green Mussels (Perna viridis) in Banyuurip Village, Ujung Pangkah District, Gresik Regency
Authors: Rudianto Rudianto , Aliviyanti Dian , Widodo Maheno Sri , Amalia Mega , Clarina Cecilia Mia , Nindian Luluk Anggin
Published: February 2024

The aim of the research was to determine the Distribution analysis of Perna viridis diversity based on the suitability map for green mussel cultivation, analysis of community perceptions and the condition of water bodies. Perna viridis aquaculture is suitable for the waters of Banyuurip village based on the variables of sea depth, sea surface temperature, chlorophyll a concentration, and substrate radiance data. Heavy metal content of Pb is located and distributed in polluted areas. It was found that the potential for green mussel aquaculture is greater in warm water habitats, i.e. closer to the coast. In addition, the northeast was identified as a suitable habitat for green mussels. The mid-ocean area in the north-west is of low suitability due to the lack of substrate and chlorophyll. Analysis of community attitudes and behaviour showed that people remain enthusiastic about green mussel farming, although green mussel shell waste remains an environmental problem. Heavy metal analysis of green mussel samples showed that green mussels are still safe for consumption. Therefore, the main conclusion is that the habitat of Perna viridis in the waters of Banyuurip Village still has potential for cultivation, but the waters must be free from pollution.
Towards the Development of the Indonesia New Capital City
Authors: Putri Destyarini Liana , Nurmawati  , Dianiswara Anggoronadhi , Harahap Rima Gusriana , Wirawan Muhammad Khaisar , Huda Abiyani Choirul , Fitriansyah  , Nugroho Bramantyo Adi
Published: February 2024

Sepaku is one of the sub-region in Penajam Paser Utara which is known as part of the Indonesia New Capital City (Ibu Kota Nusantara/IKN). It has three coastal villages including Mentawir, Pemaluan, and Maridan. In regards to the Integrated Coastal Zone Management (ICZM), this research aims to identify the local potential and to point out the potential strategies. Under the ICZM, the local potential should take into account the criteria of communities or coastal expertise, coastal facilities, natural resources, and responsible stakeholders. In cooperation with the result of ICZM identification, the local potential is considered under the Strength, Weakness, Opportunities, and Threat (SWOT) Analysis. It is identified that Sepaku has local potential in the coastal area which substantial to the development of the new capital city. To conclude, this research suggests that Sepaku needs to have progressive strategies. It means that the priority strategy has to use its components of strength to mobilize the opportunities.
Integrated Coastal Management (ICM) with a Reference on Protection-production Approach: An Initial Lesson of TWP East Bintan, Kepulauan Riau Province
Authors: Irmadhiany Meizani , Nikijuluw Victor , Putra Ketut S. , Prasetia Rian , Burhanuddin  , Wibisono Elle , Hakim Amehr , Tomasow Juliana , Armanto Tri
Published: February 2024

Integrated Coastal Management (ICM) encompasses a holistic marine management strategy that intertwines robust marine ecosystem preservation with sustainable resource utilization. This method aims to harness oceanic resources while advocating for the financial backing of crucial scientific research, sustainable ecosystem management, and support for local fisherfolk and communities, ultimately enhancing the resilience of marine environments. In Indonesia, unlocking the full potential of nature-based solutions for climate mitigation, marine conservation, and sustainable oceanic development necessitates strategic and appropriately scaled investments. Despite being introduced in the 1990s, national-level adoption of the ICM approach remains lacking. Presently, the Government of Indonesia predominantly relies on the establishment of Marine Protected Areas (MPAs) asa primary tool for ocean conservation. With approximately 28.9 million hectares of MPAs currently established, Indonesia plans to expand coverage to 97.5 million hectares by 2045. Aligning with Konservasi Indonesia’s Protection and Production approach, MPAs can be tailored to operationalize ICM principles. The East Pulau Bintan MPA serves as a viable case study, demonstrating how zoning strategies can effectively balance marine conservation with sustainable resource exploitation.
Organoleptic Testing and Histopathological Examination of Gills of Thunnus Sp. And Sardinella lemuru as Raw Materials for Gill Chips
Authors: Budiadnyani I Gusti Ayu , Cesrany Mahaldika , Ginting Emmya Karina , Sudaryatma Putu Eka
Published: February 2024

Utilization of tuna (Thunnus sp.) and lemuru (Sardinella lemuru) in the fishing industry has not been developed optimally and still produces by-products. Fish gills are one of the by-products of fisheries that contain protein, fat, water, ash, and carbohydrates, reaching 15.532%, 1.942%, 69.880%, 10.490%, and 2.156%, respectively. In_Sang Epic is food that utilizes fish gills as its raw material. For consumer safety, the product should undergo an organoleptic test under the SNI 2729:2013 score sheet method. The histopathological examination process which included fixation, tissue processing and embedding, sectioning, staining, mounting, and observation with a microscope. The results of organoleptic test indicated that the gills of tuna and lemuru had average values of 8.3 and 7.8, respectively, which is fulfilling the standards of fresh fish according to SNI 2729:2013. Meanwhile, the result of histopathological from gills of tuna samples were suspected of having necrosis, as characterized by hypertrophy of megakaryolysis, and that those of lemuru were suspected of having autolysis, as characterized by rupture. However, the gills of both kinds of fish were still suitable for use as raw materials of In_Sang Epic because the samples were ineligible to undergo histopathological testing.
Ex Vivo and In Vivo Retention Time Evaluation of Fucoidan Isolated from Macrocystis pyrifera Through a Thermosensitive Gel System in The Vaginal Route
Authors: Sam Anwar , Marzaman Ardiyah Nurul Fitri , Mudjahid Mukarram , Roska Tri Puspita , Permana Andi Dian , Manggau Marianti A.
Published: February 2024

This study evaluated Fucoidan from Macrocystis pyrifera as a potential treatment for cervical cancer. The research aimed to examine Fucoidan’s in vivo retention capacities in poloxamer-based in situ gels for vaginal drug delivery systems. Five different thermosensitive gel formulations were developed, each with varying concentrations of Pluronic F127 and F68 polymers. The incorporation of HPMC affected the gelation temperature, viscosity, and bioadhesive strength. The accepted formula, F3, had a bioadhesive value of 5415.93 ± 98.74 dyne/cm2 and could form a gel at physiological temperature. Ex vivo animal models showed that Fucoidan components retained well on vaginal tissue. Only F1, F2, and F3 achieved the media after 8 hours of examination. In vivo evaluation showed F3 had the highest drug concentration retained in the vaginal mucosa of female rats after 8 hours (24,115 ± 4,842 g), slowly removed after 24 hours (13,014 ± 5,596 g). In conclusion, increases in the hydrophilic content of formulations led to the retained hydrogel formula, which increased drug release and lowered intravaginal elimination.
Activity of Sea Cucumber and Spirulina in Wound Healing and Blood Glucose Decreasing in Streptozotocin- Induced Diabetic Rats
Authors: Susanto Hendra , Safithri Mega , Tarman Kustiariyah , Setyaningsih Iriani
Published: February 2024

Previous study showed that sea cucumber and spirulina had an antioxidant activity and antihyperglycemic activity. Sea cucumbers contain a cell growth factor that is useful in wound healing. This research aimed to determine the activity of sea cucumber and spirulina in decreasing the fasting blood glucose and wound healing process in streptozotocin-induced diabetic rats. The antihyperglycemic activity and wound healing test were done to experimental rats that have been conditioned with diabetic wound. 2840 mg/kg body weight of liquid preparation of sea cucumber methanol extract and 81 mg/kg body weight of spirulina extract were given through oral gavage and sea cucumber methanol extract was given topically once a day. The results showed that group of golden sea cucumber orally-topically had the best antihyperglycemic activity with the highest percentage reduction in blood glucose level while group of golden sea cucumber topically-spirulina orally had the best wound healing effect with the highest percentage of wound healing.
Exploring Marine Rare Actinomycetes: Untapped Resources of Bioactive Compounds in Clinical Development
Authors: Rachman Fauzy , Wibowo Joko Tri
Published: February 2024

Marine Actinomycetes represent a rich and valuable source of distinct and promising substances. The genusStreptomycesin particular, has been extensively studied due to its ability to produce bioactive compounds and its abundance of biosynthetic gene clusters (BGCs). However, the exclusive focus onStreptomyceshas resulted in the rediscovery of known compounds. On the other hand, marine rare Actinomycetes (MRA), comprising Actinomycetes species beyondStreptomyces, also harbor a significant number of BGCs. In this article, we summarize the chemical composition, biological activity, and biosynthetic pathways of compounds sourced from MRA that have been tested in clinical trials for their potential in infection, pain relief, and anticancer treatments. Our particular emphasis lies on compounds derived from MRA associated with marine invertebrates, an area that has been comparatively underexplored when compared to MRA isolated from marine sediment and water. Some notable compounds include rifamycin SV, staurosporine, and tetrodotoxin, which are produced by actinomycetes from the generaSalinospora,Micromonospora, andNocardiopsis. The findings of this overview shed light on the potential of MRA associated with marine invertebrates to yield intriguing compounds that could be developed into drugs. Exploring the natural products from these bacteria holds the promise of discovering novel compounds with remarkable bioactivities.
The Cardioprotective Effect of Polysaccharide Sulphate Isolated from Brown Algae (Sargassum polycystum)
Authors: Marzaman Ardiyah Nurul Fitri , Amir Azizah , Ramadhan Chitra , Ulfa A. Nabila , Andulung Englins , Tarman Kustiariyah , Lukitaningsih Endang , Evary Yayu Mulsiani , Kasim Syaharuddin , Kleuser Burkhard , Manggau Marianti A.
Published: February 2024

The incidence of atherosclerosis is characterized by an increase in the value of low-density lipoprotein (LDL) and a decrease in the value of high-density lipoprotein (HDL) as well as an increase in the total white blood cell count which can indicate the occurrence of atherosclerosis. This study used 18 rats which were divided into 6 groups of 3 each, namely a normal control group, a negative control group (CMC 0.5%), a positive control group (Simvastatin 20 mg/kg BW), and 3 groups given a sulfate polysaccharide isolate compound test material (dosage of 250, 50, and 10 mg/kg of body weight). The results showed that sulfated polysaccharide isolates had an effect in reducing white blood cells significantly between doses of 250 mg/kg BW and 50 mg/kg BW as well as reducing SGOT levels. Unfortunately it did not reduce the SGPT level. The results of the Mann-Whitney post hoc test showed that administration of sulfated polysaccharides at an optimal dose of 250 mg/kg BW reduced the number of foam cells in the atherosclerotic white rats' (Rattus norvegicus) aortas that were given a high-fat diet and had activity in reducing CKMB levels compared to other doses.
Utilization of Marine Fungi as a Feed Additive on the Performance of Local Chickens’ Digestive Organs
Authors: Nurhayati  , Nelwida  , Lisna  , Ramadan Fauzan , Tarman Kustiariyah
Published: February 2024

This study aimed to evaluate the utilization of marine fungi as feed additives on the performance of local chickens' digestive organs. This study used one hundred and eighty local chickens aged one day which were kept for 10 weeks and divided into five treatment groups and four replications. Chickens consumed treatment diets containing yellow maize, rice bran, soybean meal, fish meal, coconut meal, L-lysine, methionine, CaCO3, and added marine fungi. Chickens were slaughtered at 10 weeks old and digestive organs (liver, ventriculus, and small intestine) were collected and weighed to measure digestive organs' performance. Data were analyzed by analysis of variance by a completely randomized design. An orthogonal contrast test analyzed the significant effects of treatment diets on the parameters. This study showed that marine fungi significantly decreased feed consumption (P<0.05) without any declining digestive organ performance. It is suggested to add marine fungi extract to the local chicken diet as much as a 2 ml/kg ration.
Synthesis and Characterization of Ulvan-Alginate Hydrogel Beads as a Scaffold for Probiotic Immobilization
Authors: Ramadhan Wahyu , Ramadhani Fadya Aliciya , Sevica Devani , Hardiningtyas Safrina Dyah , Desniar
Published: February 2024

Probiotic drinks have various benefits for the digestive tract. However, there is a problem with ensuring the viability of probiotics and their functionality while passing through the digestive tract to the large intestine, thus an alternative strategy is needed to maintain the viability of probiotics, namely hydrogel encapsulation of natural biopolymers such as ulvan and alginate. Hydrogels constructed from ulvan and alginate were predicted to be suitable for the challenge as a probiotic bioreactor that could stimulate human digestive health because its porosity and retention capacity could be chemically controlled. The aims of the study were to evaluate the characteristics of the selected ulvan concentrations and to determine the resistance of encapsulated probiotic bacteria in simulated gastric fluid (SGF) and simulated intestinal fluid (SIF). The research involved characterizing the hydrogel using different concentrations of ulvan (1%, 2%, 3%, and 4%) along with 2% alginate. Ulvan-alginate hydrogel produced the highest gel fraction and swelling ratio of 98.8% and 19.7%. The hydrogel system composed of 1% ulvan and 2% alginate effectively preserved the viability of probiotic bacteria in both SGF and SIF environments, with survival rates of 3.41 × 107and 0.14 × 107log CFU/g, respectively.
The Pliocene succession of Lyon Metropolis (SE France): an overfill of a Messinian incised-valley
Authors: Dromart Gilles , Suc Jean-Pierre , Popescu Speranta-Maria , Rubino Jean-Loup
Published: February 2024

The Pliocene ria, a narrow seaway running up the Rhône Valley, has been mapped for a while by field geologists. Only much later, after the DSDP Leg 13 in 1970, a consensus was reached that this unique geological feature of the Rhône Valley was created by the major Mediterranean sea-level drop associated with the Messinian Salinity Crisis, followed by a sudden sea-level rise caused by the breach of the Strait of Gibraltar and the invasion of the Mediterranean Basin by the Atlantic waters. At the regional level of the Lyon Metropolis in the upper Rhône Valley, main issues were however remaining about the course and depth of the Messinian valley, and about the valley fill, namely where and how do the Pliocene marine strata of the Rhône Valley pass to the continental deposits of the Bresse Basin to the north? These are key-questions in that the Plio-Pleistocene makes up a large fraction of the basement that holds up a large city, not free from potential geological hazards and subject to problems of groundwater management, high-cost tunneling projects, etc. Our survey reviews first the historical researches − descriptions of the outcrops and fossil assemblages. It is followed by an unprecedented analysis and correlation of a thousand boreholes, which makes it possible to physically link and reconcile ancient local observations. Sections across the Messinian valley reveal a proper canyon morphology for the segments that cut the crystalline basement. The magnitude of the incision has been calculated as 335 m to a minimum, three hundred kilometers away from the river mouth. Three major depositional systems are distinguished for the Pliocene − Lower Pleistocene succession. The valley that initially ran much farther north of Lyon was occupied in the Zanclean by a series of pounded lakes, dammed by transverse local alluvial fans, filled by minor Gilbert-type deltas, and repeatedly flooded by marine ingressions. The valley wings were then encroached during the Piacenzian by a major, Alps-rooted alluvial sheet. At the level of Lyon, the fluvial deposits were deflected to the north (Sables de Trévoux) and to the south (Alluvions jaunes) as a dichotomy. The succession was then capped by a gravel-dominated fluvio-glacial fan (Alluvions jaunes sommitales) at the Plio-Pleistocene transition. It spread out from the north-east to the south, and intersected the previous valley overfill due to the shift to the north, i.e., South Jura, of the feeder stream. The depositional and current elevations of the marine-influenced episodes, i.e. marker bands that punctuate the regional Neogene succession, are used to bring out successive uplift and subsidence phases of the region. Finally, we tentatively link the major shifts in the depositional patterns of the Late Neogene succession in the Lyon area to major changes in the thrust belt activity, exhumation story, and outset of glaciers in the western Alps.
Investigation of Strain and deformation analysis of Biomaterial in Dental Implant: A 3D FEA Study
Authors: Jackson Irudhayam S. , Hariram V.
Published: February 2024

In this study, the deformation and strain values in the periimplant bone were assessed in order to examine the impacts of three different dental implant thread pitch settings. In this work, the diameter, length, material, and elastic modulus impacts on the biomechanical behaviour of a new dental implant were predicted using the finite element method. Both a three-dimensional dental implant model and a mandibular segment model that matched the premolar region were acquired. loads that are axially applied. The dental implant models were built using Solidworks 2021, and the simulations were carried out using Ansys / CAE.

In this work, FEA was used to analyse how the bioactive material (30% CFR PEEK) and implant thread design influenced strain and distortion in the implantation. According to the study's hypotheses, the 30% CFR PEEK implant system will be made of an isotropic, homogeneous, and linearly elastic material. Using the modelling software tools Solidworks and Ansys Workbench, strain and deformation at the implant and implant-cortical bone contact are examined and evaluated. In the present investigation, FEA was used to analyse how the bioactive material (30% CFR PEEK) and thread design affected strain and distortion in the implantation system. The 30% CFR PEEK implant system will reportedly be built of an isotropic, homogenous, and linearly elastic substance, according to the study's hypothesis. We study and assess strain and distortion at the implant, cortical and cancellous bone using the modelling software tools Solidworks and Ansys Workbench.
An innovative approach to teaching engineering graphics focused on CAD/CAM/CAE systems
Authors: Usmonov Botir , Dadaboeva Dilnoza , Mamadaliev Khusniddin , Turgunov Abrorjon
Published: February 2024

A new approach to teaching the subject “Engineering Graphics” is developed in the article; it focuses on the use of CAD/CAM/CAE systems as useful tools for solving engineering problems related to mechanical engineering, instead of describing different software options. Thus, the content of the topic is divided into two blocks, one is devoted to the analysis of the results of modeling the motion of dissimilar mechanisms, and the second is devoted to the analysis of various cases of loading structural elements using the FEA module. Both blocks are available in Autodesk Inventor Pro, and students can download it for free. So, students can visualize and understand the complexity of the design process in engineering.
Analyzing Business Education Tutorials: Significant Problems and Workable Solutions
Authors: Sigl Jennifer , Mohamed Aezeden
Published: February 2024

The accounting department of the Papua New Guinea University of Technology has observed a concerning pattern in the academic performance of its students, particularly in preparation for their final exams. This persistent issue has negatively impacted student performance in the Department of Business Studies. To resolve this problem, it may be helpful to establish additional lessons and closely monitor student attendance. Tutors should be involved in the tutorial system to support students in smaller groups. By attending tutorials and monitoring their progress, students can develop better study habits, which will aid them in preparing for their final exams and improving their academic performance.
Camguard: Preventing unauthorised camera access for women’s saftey
Authors: Saranya S. , K. Priyadharsan , K. Yadavamuthiah
Published: February 2024

Online harassment is a serious problem that can have significant negative impacts on the mental health and well-being of its victims. To address this issue, an Android app has been developed that is accessible to a wide range of users worldwide. The app is built on a script backend process, providing a stable and efficient environment for data management and request processing. The app's API is integrated into the script backend process, ensuring seamless and efficient operation.During the installation process, the app requires users to go through a verification process that includes providing their Google Account, mobile number, and an OTP. This ensures that only legitimate users have access to the app's features and functions. The app also requires users to create a strong master password, which is directly connected to the Google bot, enhancing its security. Biometrics are recommended to protect the master password, ensuring that only authorized users can access their data.The app's security measures are crucial in ensuring the privacy and protection of user data. The use of biometrics and direct connection to the Google bot enhances security, and the app's API provides access to relevant information and enhances the user experience. Users can change their password securely, ensuring that only authorized users can access their data.Overall, the app is a reliable and efficient solution for managing and protecting user data. Its compatibility with a wide range of devices and seamless integration of API make it accessible to a large percentage of Android users worldwide. The app's verification process, use of biometrics, and direct connection to the Google bot enhance its security, ensuring that only authorized users have access to the app's functionalities. The development of this app is a critical step in addressing the issue of online harassment and protecting the privacy and well-being of its users.
Data Privacy in the Digital Era: Machine Learning Solutions for Confidentiality
Authors: Dari Sukhvinder Singh , Dhabliya Dharmesh , Govindaraju K. , Dhablia Anishkumar , Mahalle Parikshit N.
Published: February 2024

Data privacy has grown to be of utmost importance in today's digitally driven world. Protecting sensitive information has never been more important due to the explosion of data across many areas. This abstract explores cutting-edge machine learning techniques for improving data privacy in the digital age.Artificial intelligence's subset of machine learning presents a viable way to overcome issues with data privacy. This study investigates how machine learning algorithms can be used to strengthen confidentiality protections in a range of applications. Machine learning models may uncover vulnerabilities and potential breaches in real time by analysing large information, offering proactive defence against cyber threats.We explore a number of data privacy topics, such as access control, encryption, and data anonymization, while emphasising how machine learning approaches might improve these procedures. We also cover how federated learning protects privacy during collaborative data analysis, enabling different parties to gain knowledge without jeopardising the integrity of the data.The importance of ethics and compliance in the creation and application of machine learning solutions for data confidentiality is also emphasised in this abstract. It highlights the necessity for ethical AI practises and highlights the difficulties in finding a balance between the preservation of privacy and the usefulness of data.This study investigates how machine learning could strengthen data confidentiality, paving the path for a more safe and considerate digital future. It highlights the value of interdisciplinary cooperation between data scientists, ethicists, and policymakers to fully utilise machine learning's promise in protecting our sensitive information in the digital world.
Safeguarding Critical Infrastructures: Machine Learning in Cybersecurity
Authors: Kalnawat Aarti , Dhabliya Dharmesh , Vydehi Kasichainula , Dhablia Anishkumar , Kumar Santosh D.
Published: February 2024

It has become essential to protect vital infrastructures from cyber threats in an age where technology permeates every aspect of our lives. This article examines how machine learning and cybersecurity interact, providing a thorough overview of how this dynamic synergy might strengthen the defence of critical systems and services. The hazards to public safety and national security from cyberattacks on vital infrastructures including electricity grids, transportation networks, and healthcare systems are significant. Traditional security methods have failed to keep up with the increasingly sophisticated cyber threats. Machine learning offers a game-changing answer because of its ability to analyse big datasets and spot anomalies in real time. The goal of this study is to strengthen the defences of key infrastructures by applying machine learning algorithms, such as CNN, LSTM, and deep reinforcement learning for anomaly algorithm. These algorithms can anticipate weaknesses and reduce possible breaches by using historical data and continuously adapting to new threats. The research also looks at issues with data privacy, algorithm transparency, and adversarial threats that arise when applying machine learning to cybersecurity. For machine learning technologies to be deployed successfully, these obstacles must be removed. Protecting vital infrastructures is essential as we approach a day where connectivity is pervasive. This study provides a road map for utilising machine learning to safeguard the foundation of our contemporary society and make sure that our vital infrastructures are robust in the face of changing cyberthreats. The secret to a safer and more secure future is the marriage of cutting-edge technology with cybersecurity knowledge.
Innovative Study on Split Tensile Strength of M30 Grade Concrete Using Novel Glass Powder in Comparison with Conventional Concrete
Authors: Shriram V. , Ganesan R.
Published: February 2024

Aim: The scope of this study is to compare the tensile strength of novel glass powder based concrete and conventional concrete. Materials and Methods: The experiment is splitted into two groups. Each group includes 18 different samples.Group-1 is conventional concrete and Group-2 is novel glass powder based concrete.In concrete, fine aggregate is partially replaced by 20% of glass powder.The pretest power is determined with 80% and with alpha value of 0.05 and confidence intervals are 95% respectively.Tensile strength tests were performed using cylinder specimens with universal testing machine (UTM).Results: Using the help of The T-test for independent samples was run using SPSS software version 21.Concrete with novel glass powder had a mean tensile strength of 4.5422Mpa and conventional concrete's 3.4467Mpa.The SPSS carried out significance was p=0.000 (p<0.05).This shows that the two approaches have a statistically significant difference.The standard deviation is 0.32380, 0.28304, and the standard error is 0.07632, 0.06671.Conclusion: Hence,When novel glass powder based concrete is used the tensile strength of the concrete has more strength than conventional concrete.
Artificial Intelligence: Introducing to the Field of Infertility on Patient Having Ovarian Cancer
Authors: Sahare Tejaswini P. , Kumar Jha Rakesh , Ambad Ranjit , Kumar Jha Roshan
Published: February 2024

Artificial intelligence (AI) is a human-invented technology that is supposed to perform specific tasks more quickly and with fewer resources. Machine data base or machine calculation is much accurate, which shows a positive point towards patient safety.AI is a discipline of computer science that focuses on developing intelligent machines that can accomplish tasks that would normally need human intelligence. Ovarian cancer is such a widespread disease that it is observed all over the world. It may cause infertility since it has a direct effect on the reproductive organs.AI will play a critical role in future IVF facilities, boosting outcomes and reducing pregnancy complications. This review article looks at how artificial intelligence (AI) can help infertile ovarian cancer patients. In the field of infertility, Artificial intelligence (AI) is a well-developed platform. Patients with ovarian cancer may experience infertility.If a patient is able to conceive following ovarian cancer, there is a higher risk of disease transmission from parent to offspring through gene.Through gene mapping, AI can read the gene coding and alert to the impact of diseases, reducing the danger of disease transmission. It may also reduce the pregnancy complication.
Detection of Parkinson’s Disease using Deep learning algorithms
Authors: Malar A. Christy Jeba , Srivastava Shivani Balaji , Ravi Sri K. , Ram Tinku
Published: February 2024

Parkinson’s illness is an advancing genetic neurological chronic disease impacts people mostly in old age but still might infect very few young people. This disease slowly eats up a part of the brain which is responsible for body movement, resulting in a steady loss of muscle control of the entire body. For example, frequent hand and leg tremors, body stiffness, loss of speech, bradykinesia, and dystonia. The treatments available don’t entirely cure PD as there is no medication, but on the other side, clinicians are trying to improve the patient’s lifetime. As the pattern recognition region of the brain is related to PD, we are using a dataset with healthy and PD hand-drawn images from a small test conducted. Here we have proposed a combination of deep learning algorithms of ANN and CNN with a machine learning algorithm of Random Forest classifier to improve the accuracy rate by “74” in finding out the person with PD. Hence, it is inferred that the expected results benefit clinicians in identifying and treating patients with PD in an operative way.
Automated lung disease detection, classification and prediction using RNN framework
Authors: Kavitha M. , Vidhya K. , Sreeja S. , Roopashri G. , Muhil P.
Published: February 2024

Lung diseases are widespread throughout the globe. This group of illnesses includes chronic obstructive pulmonary disease, pneumonia, asthma, TB, fibrosis, and others. The earliest possible diagnosis of lung illness is crucial. Numerous image processing and artificial intelligence models have been created with this goal in mind. Several types of research have been initiated around the world since the arrival of the novel Covid-19 for its reliable estimation. The earlier respiratory disease pneumonia is linked to Covid-19 because several patients died as a result of severe chest congestion (pneumonic condition). Medical experts find it pulmonary illnesses caused by pneumonia and Covid-19 are difficult to differentiate. Chest CT-Scan imaging is the most accurate approach for predicting lung disease. Recently, a number of academics reported using AI-based methods to classify medical images using training data from CT scans. Deep learning is a very effective technique for understanding difficult cognitive difficulties, and more and more challenges are using and evaluating it. Recurrent neural network method, a deep learning system that can accurately detect COVID from CT-scan pictures, was employed in this study. Detect various lung illnesses like pneumonia and TB by using Multi-class RNN. The experimental findings demonstrate the suggested approach increases the precision of disease prediction and also gives information on the diagnoses of the illnesses under study.
A Survey on Physical Layer Performance of MIMO-WiMAX
Authors: Naveena A. , Divya Udataneni
Published: February 2024

The IEEE 802.16 WiMAX standard for BWA (Broadband Wireless Access) was designed to offer end users high transmission data rates across wider regions.Wireless communication requires MIMO systems because they enable data to be sent and received through multiple antennas. This study examines how the MIMO-WiMAX physical layer performs while using different modulation techniques and channel coding approaches the BER performance of WiMAX systems, the Alamouti Space Time Block Code method for MIMO is being investigated.
Artificial Intelligence- Oncology and Central Nervous System Tumour Detection
Authors: Zotey Vaishnavi , Ambad Ranjit , Lamture Yashwant Ramrao , Jha Rakesh Kumar
Published: February 2024

In recent times, in this world of science and technology and recent advancements like machine learning and artificial intelligence, clinicians and medical science are supported with better treatment assistance, increased efficiency and improved methodology in the detection of even the rarest tumour in the human body. In the field of oncology, the help of AI has proved promising results. Diagnosing by imaging and detecting gliomas, its grading can be done easily and accurately. This article focuses on recent advances and technologies in the field of AI and CNS Brain tumour detection. Rare and difficult tumours hard to detect and identify can now be seen and classified with the help of these newer technologies. Pre Intra and post-operative strategies can be planned accurately and most precisely with the help of AI. It is a vast concept that helps enhance various human cognitive abilities in wide ranges.Deep Learning, one of the types of ML, has proved effective in automating many time-consuming steps, including lesion detection and segmentation. AI has several features such as detection and classification, tumour molecular properties, cancer-linked genetics, discoveries of various drugs, prediction of treatment, its outcomes as well as survival, and continued trends in personalized medicine in CNS tumours such as GBM with poor prognosis. Artificial Intelligence is a vast concept that helps enhance various human cognitive abilities in wide ranges. This review focuses on the recent advances in AI and its use in oncology, specifically in CNS, detection, and assessment planning of the underlying cause. Promises and challenges of the same are discussed below.
Evaluating Welding Electrode Angle and Root Gap Effects on Joint Quality
Authors: Pant Shivani , Jasim Laith , Murali M.J. , Kavithamani K. , Gehlot Anita
Published: February 2024

Welding is a type of manufacturing method that offers greater advantages than riveting for combining metals or sheets. By adjusting the welding process parameters to predict welding strength, a higher quality of joint can be achieved. In this study, the weld processing parameters welding current (WC), electrode angle (EA), and root gap (RG) were taken into account. We performed destructive testing, such as tensile and hardness tests, to evaluate the metal piece's weld strength after it had been joined. Stainless steels and carbon steels, two unrelated materials, were used in this project. The Taguchi method was used to carry out joint processes in arc welding (AW), and nine samples were produced by altering the input parameters. Steel alloy 308L has been used as the electrode for forming connections.
Applications of Multi Attribute Decision making problem
Authors: Shoba P. , Selvakumari K. , Kavitha S.
Published: February 2024

The method of generating intention with the scope of impact is called the decision making. It is the process which an unique or a group evaluates solutions and alternatives in order to found the most politic option while inspecting the problems or situations.Multi-attribute decision-making (MADM)MADM approaches are designed to discover the most satisfying of numerous comparison choices or to rank possibilities based on their connection to the analysed target. The strategies are utilized to identify the suitable alternative/solution when none of the evaluation parameters are the best.The Multi-attribute decision making theory offers a formal base for the establishment of a model, in which the key criteria is the individual parameters that result in an integrated assessment.MADMis a strategy for evaluating decisions with numerous co-attribute options in a complete and effective manner. The most appropriate options are ranked from most to least, and MADM methods are frequently used to get the best solution.In this paper, the decision-making algorithm is suggested and applied to purchase a new bike with the maximin method.
Effect of Temperature Variation on Al based Composites during T6 Heat Treatment
Authors: Divya N. , Karthikeyan N. , Laith H. Alzubaidi , Shah Sanjeev Kumar , Bisht Deepa
Published: February 2024

The heat treatment-T6 offers significant benefits for Aluminum Matrix composites due to changes of structure and material properties like strength, hardness and corrosion resistance. In this study, the preparation of reinforced Molybdenum Disulfide With Al-Zn-Mg alloy composites done by stir casting methodology. Three parameters like temperature (A), Time duration (B) and quenching medium (C) are considered for Heat Treatment Process (HTP). Quenching medium, time and temperature are reserved as constant. The main aim is to compare corrosion or wear characteristics (WC) and Hardness (BHN) of prepared samples before and after HTP. POD device used to conduct test of wear rate. 12 experiments are carried out by change of MOS2 particles volume (5-20 w.t %) and Temperature (400-700º C). the experimental outcomes are discussed and compare the mechanical properties for stir-casting and T6-HTP.
Surface Roughness Analysis in AWJM for Enhanced Workpiece Quality
Authors: Manikandan M. , Hemalatha S. , Chandramauli Awadhesh , Ambrose Sharath , Alsalami Zaid
Published: February 2024

Abrasive Water Jet Machining is a distinctive manufacturing process that effectively removes material from a workpiece by employing a high-pressure stream of water combined with abrasive particles. The final quality of the machined surface is directly influenced by various process parameters, such as the traverse speed, hydraulic pressure, stand-off distance, abrasive flow rate, and the specific type of abrasive used. In recent times, extensive research has been undertaken to enhance the performance of AWJM, with a specific focus on critical performance measures like surface roughness. This paper presents the latest advancements in AWJM research, with particular attention given to enhancing performance measures, implementing process monitoring and control, and optimizing process variables for applications involving high-carbon steel.
Attosecond science the art of making electron movies
Authors: Nisoli Mauro
Published: February 2024

After 22 years since the first experimental demonstration of attosecond pulses, the attosecond science has become a very active field of research, with prominent applications in atomic, molecular and solid-state physics. Experimental advances, in terms of new sources, devices and techniques, are still required, together with new theoretical tools and approaches, but attosecond physics has firmly established as a mature research field.
Liebe Leserinnen und Leser,
Authors: Beilenhoff Ulrike
Published: February 2024

Zu Jahresbeginn möchten wir Ihnen ein gesundes, erfülltes und
erfolgreiches neues Jahr 2024 wünschen. 2024 verspricht ein interessantes
und wichtiges Jahr für die Pflegeberufe zu werden.
Green Endoscopy
Authors: Duchmann Rainer
Published: February 2024

Der durch Aktivitäten unserer menschlichen Zivilisation bewirkte Klimawandel
ist ein zentrales Thema, wenn nicht das zentrale Thema unserer Zeit.
Gemäß dem aktuellen „Eurobarometer“, einer im
Mai/Juni 2023 durch die Europäische Kommission unter Teilnahme von
26 358 interviewten Europäern erhobenen Umfrage, sehen die
Europäer die Themen „Armut, Hunger, Mangel an Trinkwasser“,
„Bewaffnete Konflikte“ und „Klimawandel“ als die
drei wichtigsten, unsere Welt bedrohenden Probleme an. In Deutschland rangiert der
Klimawandel an Rang 1. 1.
Heilungshindernisse überwinden …
Authors: Jahn Claus
Published: February 2024

Therapieblockaden können verschiedenste Ursachen haben. Eine detaillierte Befunderhebung und eine empirisch belegte Wahrscheinlichkeitshierarchie helfen bei der Ursachenfindung. Zu unterscheiden von Therapieblockaden ist ein vollständiges Therapieversagen, das zum Beispiel in der falschen Diagnose oder einer nicht korrekt gewählten Therapie begründet sein kann. Neben einer großen Vielfalt an Komplexhomöopathika eignet sich zur Behandlung von Therapieblockaden ein multipragmatischer Ansatz, bei dem die Ordnungstherapie nicht fehlen sollte.
Wissen kompakt: Der atopische Formenkreis
Authors: Bastian Petra
Published: February 2024

Die atopische Trias oder der atopische Formenkreis beschreibt die Erkrankungen Neurodermitis (atopisches Ekzem oder auch atopische Dermatitis), allergisches Asthma sowie spezifische Allergien. Sie entstehen alle aufgrund einer genetischen Veranlagungsowie schädlicher Umweltfaktoren.