bluuebunny/crossref_metadata_2025 huggingface dataset:
T‐Skeleton: Accurate scene text detection via instance‐aware skeleton embedding
Authors: Li Haiyan , Hu Xingfei , Lu Hongtao
Published: February 2024

Existing segmentation‐based methods have made considerable progress in arbitrarily shaped text detection due to the advantage of dealing with shape variation. However, there still exist challenges to detecting accurate text instances with dense layouts, inaccurate annotations, and complex backgrounds. Many recent works have focused on improving arbitrary boundary prediction, but it may be difficult to accurately distinguish each instance of dense layouts because their boundary pixels may be mistakenly classified to produce inaccurate results (i.e., adhesive texts) with inaccurate annotation and complex backgrounds. Considering the local and long‐range dependencies, this paper proposes an efficient text detector, namely T‐Skeleton, to obtain more reliable segmentation detections. In the spirit of object skeletonization, we introduce the text instance skeleton highlighting the semantically significant structure (similar to the skeleton of a fish) to explicitly capture the long‐range dependencies of text instances. The key idea of T‐Skeleton is to calibrate the coarse text proposals by embedding text instance skeletons to separate crowd texts accurately and robustly. We further design a channel attention module to enlarge the performance margin between T‐Skeleton and the segmentation baseline. Experimental results on four publicly available datasets show the superiority of T‐Skeleton in handling long and curved texts.
An algorithm for detecting dense small objects in aerial photography based on coordinate position attention module
Authors: Wu Huixin , Zhu Yang , Cao Mengdi
Published: February 2024

To address the challenges of detecting a large number of objects and a high proportion of small objects in aerial drone imagery, an aerial dense small object detection algorithm called coordinate position attention module you only look once (CPAM‐YOLO) is proposed based on the coordinate position attention module (CPAM). In the backbone network of CPAM‐YOLO, a CPAM is proposed and embedded that decomposes channel attention into two 1D feature encoding processes, and selectively combines the features of each position through the weighted sum of all position features. Finally, features are aggregated along two spatial directions, increasing the effective information utilization of input feature positions and channels. The backbone network, feature enhancement network, and detection heads have been optimized to improve detection accuracy while ensuring a lightweight detection network. Using lightweight backbone networks to significantly reduce the number of parameters while using high‐resolution feature enhancement networks to retain more semantic and detailed features. The algorithm's performance was evaluated using the publicly available VisDrone2019 dataset. Compared to the baseline network YOLOv5l, CPAM‐YOLO achieved a 4.5% improvement in mAP0.5 and a 3.2% improvement in mAP0.95. These experimental results demonstrate the strong practicality of the CPAM‐YOLO object detection network for detecting dense small objects in aerial image.
Packets distribution over asymmetric paths using concurrent multipath transfer
Authors: Fetoh Hatem , Amin Khaled M. , Hamad Ahmed M.
Published: February 2024

Concurrent multipath transfer (CMT) is a transport layer protocol used for transferring data over multiple paths concurrently. In the case of asymmetric paths, the dissimilarity of delay, bandwidth, and loss rate among paths leads to challenges such as out‐of‐order packets, receiver buffer blocking, and throughput reduction. A framework that uses the end‐to‐end delay of paths to distribute the packets over asymmetric paths in ordering policy is proposed. The proposed framework detects network congestion in the assigned path and reduces the congestion window. Furthermore, the proposed framework predicts receiver buffer blocking and deactivates the highest delay path that causes this problem. The simulation results show that the proposed framework achieves highest throughput, lower entropy and lower average application end‐to‐end delay than the previous algorithms.
A channel state information and geomagnetic fused fingerprint localisation algorithm based on multi‐input convolutional neural network
Authors: Cheng Zhenhao , Zhao Dongqing , Guo Wenzhuo , Li Linyang
Published: February 2024

Numerous applications require indoor localisation, and one of the current research areas is how to leverage low‐cost ubiquitous signals for indoor localisation. This research designs a multi‐input convolutional neural network (Multi‐CNN) localisation approach to combine natural geomagnetic signals and universal 5G communication signals. To create the location fingerprint data, the geomagnetic three‐component data and channel state information (CSI) must first undergo independent preprocessing. Subsequently, the rebuilt CSI amplitude and geomagnetic intensity are employed for separate offline training to efficiently extract the corresponding data features. Lastly, Multi‐CNN is used to estimate the user's location online. The localisation outcomes for the conference room and hall demonstrate that the Multi‐CNN algorithm can achieve average localisation accuracies of 1.41 and 2.66 m, respectively. These are higher than the single‐input CNN algorithms by 21% and 15%, and higher than backpropagation network (BPNN) algorithm by 24% and 17%, and higher than the weighted K‐nearest neighbour algorithm by 34% and 28%. The Multi‐CNN‐based localisation approach successfully fuses the diverse data, potentially satisfying most indoor localisation applications.
Change in Reef Fish Assemblages along Depth Gradient at Gili Rakit and Gili Lipan Marine Protected Areas (MPAs)
Authors: Prabowo Budi , Christian Yoppie
Published: February 2024

Since 2010, Marine Protected Areas (MPAs) have been established in Indonesia to ensure the sustainable management of coral reef ecosystems. This study examines fish assemblages across varying depths and MPAs management areas, specifically assessing the suitability of Gili Rakit and Gili Lipan MPAs. The study concludes that deeper coral reefs have higher reef fish abundance, with a majority of carnivores, planktivores, and omnivores. Gili Taekebo has the lowest abundance and species richness, while Pulau Lipan has the highest. The target reef fish are primarily found in the core zone, rehabilitation, and open access management types. Based on the findings, MPAs should prioritize sites with gradient depth coral reefs and complex habitats to enhance reef fish biodiversity richness. Takad Tabampang and Pulau Bedil are recommended as sustainable fisheries management types, while Gili Taekebo could benefit from rehabilitation or open access management. Pulau Lipan and Labajo may benefit from target fish re-stocking programs.
Gene Expression Profiles of HSP70 and HSP90 Genes and Biochemical Responses in Juvenile Abalone, Haliotis diversicolor squamata in Response to Total Suspended Solids
Authors: Yasa Ngurah Sedana , Purnomo Sugeng Joko , Anshory Lutfi , Murwantoko  , Isnansetyo Alim , Handayani Niken Satuti Nur
Published: February 2024

Prokaryotic and eukaryotic organisms contain heat shock proteins (HSPs), crucial for rapid response to environmental stress. However, their specific roles in different stress conditions are not fully understood. This study investigated HSP70 and HSP90 expression in H. diversicolor squamata, using qRT-PCR. Data analysis employed SPSS, including t-tests and ANOVA, with significance set at P < 0.05. Results showed distinct expression patterns of HSP genes under varying TSS levels. Both HSP70 and HSP90 mRNA levels significantly increased in response to TSS stressors, with HSP70 exhibiting the highest sensitivity to TSS changes. The duration and amount of TSS exposure influenced gene transcripts, particularly notable at 12 hours and 150 mgL-1 concentration. These findings suggest HSP genes play a role in cellular stress responses to environmental stimuli. HSP70 and HSP90, sensitive to TSS stress, can serve as biomarkers for assessing stress levels from TSS exposure and detecting TSS contamination in abalone farming.
Pollution Loads of the Cipanyairan and Cipalabuan Rivers: Part of the Sukabumi Regency ICM’s Coastal Pollution Management Programs
Authors: Damar Ario , Haryadi Sigid , Isdahartati  , Ricardi Novit , Narcise Cristine Ingrid , Herlina Dedah , Kurniawan Tatang , Muhara Rasyad
Published: February 2024

The first step in the management of coastal pollution in the coastal area of Sukabumi Regency is the assessment of the pollution status of the two rivers, namely the Cipalabuan River and the Cipanyairan River, which is part of the integrated coastal management programme of Sukabumi Regency. Based on calculation of 35 water quality parameters shows that Cipanyairan River was considered heavily polluted with pollution index (PI) more than 10, characterized by low pH, low dissolved oxygen (DO), and high BOD, COD, TP, NO2, Cd, Pb, Mn, Cl2, total coliform, and fecal coliform. Meanwhile, water quality in Cipalabuhan River was better than Cipanyairan River, stated as moderately polluted with PI between 5 to 10, characterized by COD, Total Phosphorus, Co, Cd, and Pb. The higher water discharge in Cipalabuhan compared to Cipanyairan may had been the factor causing the better water quality in Cipalabuhan River. High concentration of Total P shows that human daily activities such as laundry and domestic wastes. Calculation on pollution load capacity shows that Cipanyairan has been shown for its higher value compared to that of Cipalabuhan, i.e for BOD5, the pollution load in Cipanyairan and Cipalabuhan are -102.64 kg/day and 2.74 kg/day, respectively.
Nature-based Solution for Local Watershed and Coastal Flood Mitigation in Indonesia
Authors: Christian Yoppie , Afandi Andy , Baskoro Harkyo H. , Mulyana Dadan , Abubakar Al Akbar
Published: February 2024

This study evaluates the effectiveness of program implementation that combines Integrated Community-based Risk Reduction (ICBRR) with Nature-based Solution (NbS) in Manggarai Regency, East Nusa Tenggara and Tanggamus, Regency of Lampung Province. The method used is qualitative measurement using indicators of NbS achievement by the United Nations Office for Disaster Risk Reduction (UNDRR), the International Union for Conservation and Nature (IUCN), and the International Federation of the Red Cross and Red Crescent Societies (IFRC). Data were collected from quarterly evaluation reports by program implementers: the Indonesian Red Cross (PMI) and American Red Cross (Amcross) and interviews with program implementers. The results showed that the broad concept of NbS is difficult to apply and measure in short-duration programs because it takes a longer time to see significant and balanced changes in each variable, especially in the variables of net gain biodiversity, livelihood improvement, and regional policy integration. However, the program that has been implemented has been able to initiate an implementation framework that is easily understood at the local level and brings NbS to the context of community needs and capabilities.
Measuring The Fish Logistics Performance Index in The Indonesian Fisheries Supply Chains (A Study Case Of Poumako Fishing Port Of Mimika, Central Papua)
Authors: Utomo Prayudi Budi , Mustaruddin  , Mulyono  , Muninggar Retno
Published: February 2024

Indonesia is an archipelagic nation and there is an unequal population distribution, economic access, and price disparities between the islands. To tackle such challenges The Indonesian Ministry of Marine Affairs and Fisheries (MMAF) intends to establish the National Fish Logistics System to construct and develop an integrated, fishery product supply chain management. The research aims to determine the fish logistics performance index (hereafter F-LPI) in corridor Mimika-Java (Jakarta/ Surabaya) in 2021 using F-LPI measurement methoe developed by MMAF. The results of the assessment and calculations for the Mimika-Surabaya/Jakarta corridor resulted in an F-LPI score of 65.74 which is included in the "Good" category. The dimensions of benefits and governance have the largest dimension index values of 92.32 and 81.91 (very good) respectively, while the index value for fisheries product procurement management has the lowest dimension index value of 40.15 (poor) and for dimension of Efficiency and Connectivity are fair and good. These results then become the basis for several improvement steps at the location such as fishing port management, additional cold chain facilities, and consolidation of logistics actors at the location.
Current Research and Future Perspectives: A Literature Review on the Blue Economy of Indonesia
Authors: Hendarman Achmad Fajar , Pritasari Adita , Desiana Nia , Astiri Selina , Dwifani Defrina , Sonia Veren , Kumarasakti Rahadian Pramudito , Siahaan Yessi A.
Published: February 2024

As an archipelagic country with an ocean-spanning more than two-thirds of its land area, developing a sustainable ocean economy is vital for Indonesia. Indonesia’s strategic position has also created opportunities for Indonesia to influence regional political and economic stability and lead in sustainable ocean development. Blue Economy is recognized as disentangling socio-economic activities and advancement from environmental deterioration while maximizing the potential gains from marine resources. This study aims to scrutinize and analyse existing academic literature and research papers and analyse the future perspectives of the Blue Economy in Indonesia, employing VOSviewer to examine the current status and scope—a Systematic Literature Review spanning a decade of academic journal datasets extracted from the Scopus database. A Strategic Foresight approach using secondary data was also employed to highlight potential future scenarios and their implications. By employing strategic foresight and analysing potential future scenarios, the study can provide helpful information for long-term planning and decision-making processes in various sectors of the Blue Economy and their human capital development.
Action Mechanism of Marine Endophytic Fungi Aspergillus terreus as Antibacterial Agent Against Vibrio harveyi
Authors: Isti’anah Ismi , Budiman Muhammad Arief , Suseno Sugeng Heri , Nugraha Roni , Effendi Irzal , Tarman Kustiariyah
Published: February 2024

Mangrove ecosystems are among the most diverse marine environments, housing a variety of vegetation, such as shrubs, plants, trees, palms, and other adaptable species that thrive in both freshwater and saline conditions. These mangrove habitats serve as a rich source of secondary metabolites, contributing to various pharmacological activities and playing a crucial ecological role. Endophytic fungi constitute a substantial and measurable portion of fungal biodiversity, known to influence plant community structure and diversity. The purpose of this study is to evaluate the cytotoxic and antibacterial qualities of endophytic fungi that were isolated from Sonneratia alba mangrove leaves that were gathered in Buton, Southeast Sulawesi, Indonesia. The fungi were isolated using surface sterilization techniques and identified based on their morphological characteristics and ITS regions of rDNA. Isolate WB 1-2, obtained from the leaves, was identified as Aspergillus terreus. The marine endophytic isolate, Aspergillus terreus, exhibited antibacterial activity against Vibrio harveyi. Scanning Electron Microscope observations conducted after 24 hours revealed inhibited cell growth in Vibrio harveyi test cells, indicating damage to the cells caused by the hyphae of marine endophytic fungi.
Anti UV, the Sun Protection Factor (SPF), and Irritation Test of Coastal Vegetation Ricinus communis
Authors: Situmorang Easter C.H. , Bara Robert A. , Warouw Veibe , Wagey Billy T. , Mantiri Desy M.H. , Sondak Calvyn F.A. , Mambo Christi D. , Posangi Jimmy
Published: February 2024

This study aims to test anti-UV activity, determine the SPF, and perform an irritation test on human skin from Ricinus communis leaf extract. The anti-UV and SPF values were determined using a UV-Vis Spectrophotometer. Furthermore, the irritation test was performed by observing the skin of human objects after cream with R. communis extract was applied. The results show that R. communis leaf extract has anti-UV-B activity, With SPF value categorized as high according to the US FDA at a concentration of 1000 ppm. Furthermore, observations from 20 participants from the patch test found no skin reactions such as edema, urticaria, irritation, and erythema on any of the objects. The Ricinus communis extract has the potential to develop as a natural sunscreen for human use.
Temperature Control System for Albumin Extraction and Pasteurization Process of Snakehead-Fish (Channa striata)
Authors: Setyawati Onny , Putra Andhika P. , adah Nurussa’
Published: February 2024

One of the crucial proteins present in the plasma of human blood is albumin. Among the freshwater fish species, the snakehead-fish is noteworthy for its high albumin content. However, many participants in the snakehead-fish albumin industry, particularly in home and traditional industries, often neglect the importance of maintaining precise temperature and time during the extraction process. Prolonged exposure to high temperatures during extraction can lead to a decrease in albumin levels. This study aimed to develop a temperature control system for the snakehead-fish albumin extraction apparatus. The system had the capability to accurately measure and maintain the heating temperature within the range, and monitor the process. The evaluation of the design's compliance with predetermined specifications and operational principles was presented. The PT100 temperature sensor was used to measure the temperature within the extraction apparatus, and the microcontroller processed the temperature data to regulate the dimmer level through a control mechanism. The temperature control system utilizing on-off control was anticipated to generate temperatures ranging from 60-70°C during the extraction phase and maintain temperatures below 43°C during pasteurization. The test results of the extraction process utilizing a lower setpoint of 63°C and an upper setpoint of 67°C, revealed that the maximum temperature recorded was 68.95°C, while the minimum temperature was 60.99°C.
Evaluation of Antibacterial and Toxicity Properties of Marine Endophytic Fungi from Red Algae Gracilaria Salicornia and Chondrus sp.
Authors: Ariantari Ni Putu , Putra I Putu Yogi Astara , Wibowo J.T. , Putri S.A.M.D.A. , Nabila Caresya Insani Bangga , Kristiani Ni Kadek Ari , Wirasuta I Made Agus Gelgel
Published: February 2024

Marine fungi are widely recognized for producing bioactive compounds with diverse pharmaceutical applications. The study aimed to investigate the antibacterial and cytotoxic properties of methanolic extracts from endophytic fungi derived from Gracilaria salicornia and Chondrus sp., collected from Argani Beach, Bali, Indonesia. Fungal isolation yielded one and three fungal strains from each host, respectively. They were later identified as Aspergillus unguis A4-1-1, Trichoderma yunnanense A5-1-1, Trichoderma asperellum A5-1-2, and Clonostachys pseudostriata A5-2-1 through ITS or LSU region comparison. Each methanolic extract underwent testing for phytochemical content, antibacterial activities, and cytotoxic potentials. Phytochemical screening indicated the presence of alkaloids in all extracts. Notably, the extract of the non-salt-treated fungus A. unguis A4-1-1 demonstrated the most potent activity with MIC values of 15.6 μg/mL against Staphylococcus aureus and Bacillus cereus ATCC 11778, while other extracts showed no substantial activity. Additionally, the salt-treated T. asperellum A5-1-2 exhibited the most potent toxic activity compared to the others with LC50 of 104.9 μg/mL, according to the brine shrimp lethality test. Other extracts showed LC50 values starting from 107.0 to 792.9 μg/mL. Given their notable antibacterial and cytotoxic potentials, it is noteworthy to identify and characterize the bioactive compounds from these fungal strains in future study.
A Brief Review on PEEK as biomaterial, Importance of Implant Design, 3D Printing and FEA in Dental Implant
Authors: Irudhayam S. Jackson , Hariram V.
Published: February 2024

The present research study seeks to provide a thorough literature evaluation on implant-based materials, implant design and application of FEA approach (Finite Element Analysis). PEEK biomaterial is the primary subject of this article. Implant design and the significance of PEEK material in future clinical applications are significant subtopics in this study. Due to its excellent physical qualities, titanium plays an essential part in the implant business. PEEK and zirconia materials appear to have promise for the future. Biomedical uses of PEEK and its composite materials in a number of different fields, including dentistry, hip implant, anterior plate fixation, crainoplasticity, knee implants, spine implants, and so forth. The implant's impact and success are greatly impacted by the prudent selection of implant biomaterial. Before the PEEK implant can replace titanium and zirconium, further research and well-controlled clinical studies are required. In this study, a number of biomaterials that were used in the implant industry will be finalized.
Research of Frost Resistance of Tuff-Containing Portland Cement
Authors: Kabulova Lola , Orazimbetova Gulistan
Published: February 2024

Results of a study of frost resistance up to 150 cycles of freezing and thawing of Portland cement and pozzolanic Portland cements obtained on the basis of these Portland cement clinkers with various dosages burnt tuffite, gliège , showed that up to 30% tuffite to Portland cements with different mineralogical composition has a positive effect, increasing their grade in standard samples.
Developed Mathematical Model of Wear Rate for Al Alloy with Nanoparticle Reinforcement
Authors: Prabhavathi K. , Manikandan M. , Misra Neeti , Alsalami Zaid , M. Jeyalaxmi , Kumar R. Senthl
Published: February 2024

The wear behavior of squeeze cast Al5456alloy with TiC/Flyash nanoparticles is examined. L27 orthogonal array design is preferred to perform the wear experiments to study the influence of various applied loads, sliding distances and sliding speed. ANOVA is carried out to detect the significant and non-significant factors. The maximum and minimum amount of wear is attained as 0.012957mm3 /Nm and 0.002387mm3 /Nm in the 21th and 5th experiments respectively and The optimal factors are recognized to be a sliding distance of 700 m, load of 70 N, and sliding speed of 9 m/s. A model of the regression with three operational factors and three levels was developed for this study. The equations for WR were created by decreasing the sum of the square residuals using the conventional least square method. The regression output and experimental results are compared to estimate the predicted error.
An Experimental Study On Split Tensile Strength Of M30 Concrete Using Novel Seashell Powder And Egg Shell Powder As A Partial Replacement Of Fine Aggregate In Comparison With Conventional Concrete
Authors: Jaswanth Pasupuleti , Ganesan R.
Published: February 2024

Aim: The study's goal is to compare the Split Tensile Strength of Novel Seashell and Egg Shell based Powder M30 concrete and conventional concrete. Materials and Methods: There are two categories taken into account. Concrete with egg and seashell powders is in group 1, while standard concrete is in group 2. There are 18 samples in each group, for a total of 36 sample sizes. The preparation and examination of the samples involved using a variety of tools and materials. Result: The independent sample T-test is carried out using SPSS software, version 21, was used. The mean Split Tensile Strength of conventional concrete sample is 3.59 N/mm2, but the mean Split Tensile Strength of novel seashell and egg shell-based Powder M30 concrete is 4.87 N/mm2. To assess the data, a T-test for independent samples is used. The mean values for the group statistical report were 3.5889 and 4.8411, and the independent t-test revealed a F value of 0.150. An independent sample t-test is performed on the two groups to see whether there is a significant difference, with g power set at 80% and p=0.000 (p0.05) as the cutoff. This indicates that there are statistical differences between the two groups considered in this study significantly from one another. Conclusion: The concrete with theNovel Seashell and Egg Shell based Powder M30 concrete had more Split Tensile Strength when compared the conventional concrete.
Methods for calculating the parameters of drilling and blasting operations based on the primary determination of the zones of destruction of the rock mass
Authors: Оchilov Sh.А. , Маkhmudоv D.R. , Nizamova А.Т. , Norinov S.S. , Umirzokov А.А.
Published: February 2024

The article considers the dependences of determining the parameters of the destruction zones of the rock mass by explosive charges, proposed by V.N. Mosints, N.P. Gorbachev, M.F. Drukovanny, V.N. Tyupin, B.N. Kutuzov and A.P. Andrievsky and others. The above dependences allow determining the location of the boreholes in the face, taking into account the physical and mechanical characteristics of the massif being destroyed, the features of the explosive used, the variety of mining, geological and mining technical conditions for driving mine workings, as well as performing the calculation of rational parameters under conditions of increased rock pressure.
IoT and AI in Livestock Management: A Game Changer for Farmers
Authors: Issa Ali Ashoor , Majed Safa , Ameer Abdul , Al-Jawahry Hassan M.
Published: February 2024

This review article explores the transformative impact of AI and IoT in livestock management, highlighting their pivotal role in advancing Agriculture 4.0. It delves into various technologies such as robotics, nanotechnology, and gene editing, which are reshaping farming and food systems towards sustainability. The paper emphasizes the significance of digital phenotyping in poultry, particularly in enhancing productivity, animal welfare, and sustainability through innovative genomics research and health monitoring platforms. Additionally, it examines the evolution of e-agriculture in India, focusing on government initiatives and the increasing influence of mobile technology in farming. The role of Big Data in Smart Farming is also scrutinized, revealing its extensive impact beyond primary production and its potential in reshaping supply chain dynamics and business models. The review further assesses the contributions of IoT in agricultural systems, particularly in meeting the challenges of a rapidly growing global population. Through this comprehensive analysis, the paper underscores the necessity for ongoing research and development in these areas, recognizing the potential challenges and opportunities presented by these robust, sustainable, and in creating a more technologically advanced agricultural future.
Advancements in Friction Stir Welding: A Comprehensive Review of Process Variables and Emerging Developments
Authors: Alsalami Zaid , Thiruramanathan P. , Krishnakumar S. , G Kala Priyadarshini , Balmiki Vinod
Published: February 2024

Friction stir welding (FSW) is a solid-state welding technique widely employed to join materials such as Aluminum (Al), Copper (Cu), Magnesium (Mg), and their respective alloys. These materials find extensive use in industries like transportation, where lightweight materials with superior mechanical properties are in demand due to their reduced mass. Conventional fusion welding methods can adversely affect the mechanical properties of these welds.Over the last two decades, FSW has emerged as a specific and significant advancement in welding technology. Various parameters, including shoulder diameter, shoulder profile, pin length, pin diameter, tool angle, rotating speed, feed rate, and weld speed, play crucial roles in determining weld strength, quality, heat generation, and material mixing.The current research focuses on investigating the process variables that influence the characteristics of welded products. Furthermore, it includes an in-depth exploration of FSW fundamentals, recent advancements, and comprehensive literature reviews.
Analysis of the Economic Efficiency of Outsourcing
Authors: Kaharovaa Nilufar , Gulamov Abdulaziz
Published: February 2024

An algorithm of outsourcing for the transfer of the business process of the industrial enterprise in the article in the account of strategic and economic aspects. The sequence of stages is the most effective assessment of the expediency of the transfer of this function to the external supplier. Formulas are offered to calculate the cost of performance independently and using the outsorers.
Securing Machine Learning Ecosystems: Strategies for Building Resilient Systems
Authors: Dhabliya Dharmesh , Rizvi Nuzhat , Dhablia Anishkumar , Sridhar A. Phani , Kale Sunil D. , Padhi Dipanjali
Published: February 2024

In today's data-driven environment, protecting machine learning ecosystems has taken on critical importance. Organisations are relying more and more on AI and ML models to guide important decisions and operations, which have led to an increase in system vulnerabilities. The critical need for techniques to create resilient machine learning (ML) systems that can withstand changing threats is discussed in this study.Data protection is an important component of securing ML environments. Every part of the process, from data preprocessing through model deployment, needs to be secured. In order to reduce potential vulnerabilities, this incorporates code review procedures, safe DevOps practises, and container security.System resilience is vitally dependent on on-going monitoring and anomaly detection. Organisations can respond quickly to security problems by detecting deviations from normal behaviour early on and adjusting their defences as necessary.A strong incident response plan is essential. To protecting machine learning ecosystems necessitates a comprehensive strategy that includes monitoring, incident response, model security, pipeline security, and data protection. By implementing these tactics, businesses may create robust machine learning (ML) systems that can endure the changing threat landscape, protect their data, and guarantee the validity of their AI-driven decision-making processes.
Mechanical Property Evaluation of Stir-Squeeze Cast Al-Based Nano SiC Composites
Authors: Habelalmateen Mohammed I. , Srinivasan R. , Pant Ruby , Kumar R. Senthl , S Sheril
Published: February 2024

This study focuses on the production of stir-squeeze cast hybrid composites made of aluminium with reinforcements. Base metal AA6105 is combined with SiC/TiC. TiC is changed from 3 to 9 wt% while SiC is kept constant (3wt%).Nine specimens are created using the deviation of the stir casting parameters of Stirrer speed (SP) 350-550rpm, Stir-time (TI) 15-25 min, and Reinforcement (RE) 3-19 w.t% in accordance with L9 Taguchi's design. By applying pressure of 60 MPa during squeeze casting, reinforced composites are created. Both stir casting and squeeze cast specimens are examined for their mechanical characteristics, such as tensile strength (TS) and hardness (BHN). Based on elongation, tension, and strain, TS was assessed for both processes. The outcomes showed that SQC sample L6 obtained the maximum TS of 303.19 MPa while STC specimen only managed to reach 269.88 MPa. The STC method produced a hardness value of roughly 83.56 Hv, whereas the greatest hardness value of 94.73 Hv was obtained with SQC sample L9 (SP-550 rpm, TI-25 min & RE-6%).
Biochemical Changes in Newborns with Intrauterine Hypoxia Born by Caesarean Section
Authors: Fayzullayeva Xilola Baxronovna , Nazarova Gulchekhra Shukhratdjanovna , Saidmurodova Zarifa Azamatovna , Xalimova Salomat Asrorovna
Published: February 2024

The medical community is unswervingly joining forces to address issues of maternal and child health, which are acquiring political and social significance against the background of demographic problems of our time. At the heart of many conditions complicating the course of pregnancy and childbirth, there is a damaging factor that is universal for the fetus and newborn - hypoxia, which disrupts the course of basic energy-dependent processes, triggering a complex of pathological endogenous reactions that contribute to the development of multiple organ dysfunction.
Analysis of Biochemical Indicators in Patients Infected with Echinococcosis
Authors: Sattarova Khulkar Gayratovna , Khalikov Kahhor Mirzaevich , Nazarova Makhbuba Erkinovna , Murtazoeva Nasiba Komiljanovna
Published: February 2024

At the last international congresses on echinococcosis, the directions of future work were defined: according to it, increasing the efficiency of echinococcosis diagnosis, improving testing systems are among them . To study the effect of the parasite on the organism of the host; enables a more accurate study of the development periods of pathogens, their strain. Echinococcosis takes the first place among diseases associated with interstitial biochemical disorders. Biochemical components and ion exchange determine the basis of transformation into repeated cysts (microcephalocytes). Currently, it is almost impossible to reliably determine the nature of echinococcal cysts that appear in a patient after surgical treatment. Accumulated experience and literary sources give more and more reason to believe that the pathogenesis of recurrence of echinococcosis is associated with several, possibly unequal, causes.
Analyzing and Detection of Human Emotion through Online Social Networks
Authors: Balamurugan G. , Tulasi M. Akhilandeswari , Kumar V.V.S.S. Sampath , Om Prakash P.G.
Published: February 2024

Online social networks play an important role for sharing the emotion between users. It has become increasingly prevalent in various applications, including personalized ad services and recommendation systems. However, the traditional approach to emotion analysis has focused exclusively on sentence-level polarity, ignoring the information that multiple emotions can coexist in users' minds. In this study, it provides deals with the problem of multiple emotions from the user's view, which formulates a multi-label learning problem. Through analysis of an annotated Twitter dataset, we identify correlations between emotion labels, social correlations, and temporal correlations. Based on the findings from the state of art techniques a factor graph-based emotion recognition model that incorporates social, temporal, and social correlations with emotion labels. Our model utilizes a multi-label learning strategy and can detect multiple emotions more accurately than existing baselines. Overall, our study provides a novel approach to emotion detection in OSNs, with potential applications in personalized services and recommendation systems
An analysis of pulmonary function tests in construction workers.
Authors: Nehe Sanjay , Ambad Ranjit , Ramdas Dhawade Manish , Jadhav Deepali , Wankhade Yashwant
Published: February 2024

In construction workers, repeated and constant exposure to
noxious materials generated at construction sites often increases the risk of
respiratory illness. Pulmonary function test (PFT) is an important tool
utilized for both diagnosis the cause of unknown or unexplained
respiratory symptoms and monitoring prognosis of patients with known
respiratory pathology. In the present study, PFT of construction workers
was assessed using spirometry. A total of 100 male construction workers
(working for >1 year) belonging age group 21 to 60 years were included in
the study. Additionally, equal number of age matched healthy individuals
without any exposure to construction work was recruited as controls.
Indices of pulmonary functions included forced vital capacity (FVC), peak
expiratory flow rate (PEFR), forced expiratory volume (FEV1),
FEV1/FVC and maximal voluntary ventilation (MVV). Maximum workers
belonged to age group 21 to 40 years. A total of 37 had habit of smoking.
Construction workers also suffered from respiratory ailments like cough,
dyspnea, sorethroat etc. All indices of PFT were significantly decreased in
construction workers compared to controls. Construction workers are at
high risk of developing respiratory ailments due to continuous long term
exposure to noxious material used in construction. Habit of smoking and
consumption of alcohol also adds on to risk of developing respiratory
disorders. Spirometry can be recommended as an effective tool for
screening of construction workers for respiratory ailments. The present
study highlights the importance of regular health camps, use of proper
protective wears and initiation of awareness program to prevent respiratory
ailments in construction workers.
An Automated Chronic Disease Management for Cardiac Arrest Detection and Prevention on Emergency usingInternet of Medical Things (IoMT)
Authors: S. Sarumathi , N. Harshini , Kumar M. Kavin , R. Keerthivasan
Published: February 2024

The Internet of Medical Things (IoMT) is a world of interconnected things that can sense, stimulate, and collaborate with one another and with the environment. Heart attacks have become more common in recent years, putting people's lives at risk. However, it is extremely complex and difficult to maintain/monitor health conditions in physical mode all the time, especially at night and while traveling. If a senior person or patient suffers from health issues such as sudden cardiac arrest or a rise/fall in blood pressure levels in their body, it will be incredibly tough to receive immediate assistance from others as well as medical agencies. The suggested method uses a pulse sensor to automatically monitor heart rate and a MEMS pressure sensor incorporated into IoMT devices to measure blood pressure (BP). If an elderly individual has a cardiac arrest, an automatic call with the exact GPS location is sent to a nearby ambulance service and their caretakers. The benefit of this method is to prevent unexpected death or major illness due to heart disease and may also be conveniently monitored by sending text messages with their heartbeat rate as a daily report to caretakers.
A Review of the Effects of Coronavirus on University Students’ Learning
Authors: Peter Seko , Mohamed Aezeden
Published: February 2024

This article aims to explore how the COVID-19 pandemic affects students’ learning and to determine the most effective way for universities to manage the epidemic while continuing their regular operations. The study also aims to identify any areas where universities’ behavior during the COVID-19 pandemic or any similar crises in the future may need to be improved. The primary purpose of any university is to carry out academic activities, and this research focuses on how to do so effectively and efficiently. The study reports that COVID-19 has hurt graduate programs, internships, internal and external assessments, and student learning after reviewing the literature. However, the pandemic has also allowed universities to improve their internet and ICT infrastructure and provide the necessary skills for their workforce to deliver effective learning. This was done in addition to mitigating the learning challenges brought on by COVID-19. While the article focuses on analyzing the body of literature about the impact of COVID-19 on student learning during the pandemic, it also identifies several areas that need further investigation. To provide an integrated approach to managing university academic business while combating the pandemic, research must be done from the viewpoint of teachers, lecturers, administrators, and other parties. The first chapter of the study covers the primary data and history of COVID-19. COVID-19 began in late 2019 and rapidly spread globally. The World Health Organization classified COVID-19 as a pandemic in early 2020. COVID-19 has affected every aspect of life, including schooling. The second chapter examines the impact of the pandemic on students' learning, as well as the containment and preventative measures implemented by the relevant authorities to halt the virus’s spread. This chapter covers the enrollment of students before and after COVID-19, the teaching strategies used to reduce the risk of infection and ensure student learning, the validity and efficiency of student assessments, and other experiences, including stress on a physical, emotional, and financial level. It also discusses internships and jobs and outlines some benefits and opportunities associated with efficient learning as a means of advancing. The final chapter emphasizes the limitations of the paper's topic under discussion.
Empowering Farmers with IoT, UAVs, and Deep Learning in Smart Agriculture
Authors: Abdul Ameer S. , Alkhafaji Mohammed Ayad , Jaffer Zain , Al-Farouni Mohammed
Published: February 2024

This review article explores the transformative influence of Internet of Things (IoT), Unmanned Aerial Vehicles (UAVs), and Deep Learning (DL) in modern agriculture, outlining their applications and impact on Smart Agriculture Systems (SAS). Examining various wireless communication technologies within IoT, including LoRa, Zigbee, and cellular networks like 5G, the study delineates their roles in enabling real-time monitoring and data transmission across expansive agricultural landscapes. Moving to UAVs, the review highlights their pivotal role in precision agriculture, elucidating how these aerial platforms equipped with diverse sensing technologies and cameras facilitate crop monitoring, disease detection, and targeted pesticide spraying. The integration of Deep Learning techniques, particularly Convolutional Neural Networks (CNNs), is discussed to emphasise their significance in disease detection, pest management, soil parameter estimation, and weed identification. The synthesis of these technologies reshapes traditional agricultural methodologies, empowering farmers with data-driven decision-making tools for optimized yield, sustainable practices, and efficient resource utilization. This comprehensive exploration aims to provide insights into the synergy of IoT, UAVs, and DL, laying the groundwork for the evolution of agricultural practices worldwide towards increased productivity and sustainability.
Accelerate IT and IoT with AIOps and observability
Authors: Valli Latha Narayanan , Sujatha N. , Mech Mukul , Lokesh V.S.
Published: February 2024

The most current of all disruptive technologies is artificial intelligence (AI), which has tremendous potential to transform marketing. AI is also the latest of all disruptive technologies. Professionals are scrambling to decide which artificial intelligence solutions will be the most advantageous for the specific projects they are working on. On the other hand, an exhaustive review of the relevant literature might highlight the significance of AI and serve as a roadmap for future study. This study on artificial intelligence (AI) aims to comprehensively analyze AI by doing a bibliometric, conceptual, and intellectual network analysis of the academic literature on the topic. Following a rigorous analysis of the publications, the most influential authors in the scientific community as well as the most trustworthy resources, were uncovered. The co-citation and co-occurrence analyses, respectively, helped along the building of the theoretical and philosophical network. Data clustering was beneficial in identifying study subthemes and future research subjects, which was done in order to improve the usage of artificial intelligence.
Trachealtumoren
Authors: Eichhorn Florian , Hoffmann Hans , Rieken Stefan , Herth Felix J. F. , Winter Hauke
Published: February 2024

Primäre Trachealmalignome sind selten, die beiden häufigsten histologischen Subtypen sind das Plattenepithelkarzinom und das adenoidzystische Karzinom. Beide Tumorentitäten unterscheiden sich hinsichtlich des lokalen Wachstumsmusters und der Prognose. Den diagnostischen Standard bilden Bronchoskopie und radiologische Schnittbildgebung. Bei fehlender Fernmetastasierung und technischer Resektabilität ist die Operation die Therapie der Wahl. Auch im Falle einer inkompletten Resektion kann, insbesondere beim adenoidzystischen Karzinom, durch eine postoperative Radiotherapie ein zufriedenstellendes Langzeitergebnis erzielt werden. Im Kontext der palliativen Symptomlinderung hat neben der Strahlentherapie die interventionelle Bronchoskopie (Tumorabtragung, Stentimplantation) einen relevanten Stellenwert.
Gegenstände des Zorns …
Authors: Welsch Katja
Published: February 2024

Wenn die Linderung von Beschwerden ausbleibt, gilt es womöglich, in der Anamnese zu erforschen, ob ein Trauma vorliegt, das der Gesundung im Wege steht. Auf das Trauma bezogene homöopathische Mittel können bereits den gewünschten Behandlungserfolg bringen oder als Zwischenverordnung den Weg für Folgemittel klären, die den Symptomen entsprechen. Die Auswahl der verordneten Mittel berücksichtigt die Lebensphase, in der das Trauma entstanden ist, und wird durch das Studium der Arzneimittellehre untermauert.
Technische Aspekte und Neuerungen in der nicht-invasiven und invasiven Beatmung
Authors: Dellweg Dominic , Lepper Philipp M.
Published: February 2024

Nicht-invasive und invasive Beatmung sind für die Therapie bei akuter und chronischer respiratorischer Insuffizienz unerlässlich geworden. Mehr als ein Drittel der Patienten auf Intensivstationen wird invasiv beatmet, und auch in der außerklinischen Beatmung nimmt die Zahl beatmeter Patienten stetig zu. Während die Normalisierung der Blutgase in vergangenen Jahrzehnten als bedeutsamstes Ziel angesehen wurde und der Gedanke, dass mechanische Beatmung auch Gefahren birgt, kaum eine Rolle spielte, ist der dominierende Gedanke derzeit die Applikation von Beatmung unter möglichst protektiven Gesichtspunkten. Da eine grundlegende Änderung der Gerätetechnik schwierig sein dürfte, wird die Verbesserung protektiver Beatmung und eine Weiterentwicklung des Verständnisses der pathophysiologischen Vorgänge bei akutem und chronischem Lungenversagen auch in der Zukunft eine große Bedeutung haben. Der Artikel fasst unterschiedliche Aspekte der technischen Grundlagen der nicht-invasiven und invasiven Beatmung und deren praktische Umsetzung zusammen.
Ressourcen schonen und aufbauen
Authors: Helbing Michael
Published: February 2024

Die Behandlung der ME/CFS ist herausfordernd: Die Erkrankung gilt derzeit als nicht heilbar. Kern therapeutischer Maßnahmen ist, die Symptome zu lindern und den Betroffenen mehr Lebensqualität zu ermöglichen. Es gilt, das Störungsbild zu erkennen und Strategien für den bewussten Umgang mit den Beschwerden aufzuzeigen. Betroffene werden in der Eigenwahrnehmung geschult und erlernen ein Energiemanagement, um eigene Belastungsgrenzen zu achten. Gezielte atemtherapeutische Übungen können in den Alltag Betroffener integriert werden, die Perfusion unterstützen und so zum Aufbau von Ressourcen beitragen.
Die Meerzwiebel (Drimia maritima)
Authors: Kübler Uta
Published: February 2024

An den steinigen, sandigen Küsten entlang des Mittelmeeres wächst eine Heilpflanze, die hierzulande in Vergessenheit geraten ist: die Meerzwiebel. Ihre besonderen Wirkstoffe werden zu den herzwirksamen Glykosiden gezählt und finden vor allem in Form von anthroposophischen und homöopathischen Standardpräparaten Anwendung.