bluuebunny/crossref_metadata_2025 huggingface dataset:
From biomass to fuels: a carbon-efficient route combining ketalization and fluid catalytic cracking
Authors: Carvalho Juliana , Vieira Alessandra , Magalhães Alviclér , Mariz e Miranda Leandro S. , Lam Yiu Lau , Pereira Marcelo M.
Published: February 2024

One of the best ways to reduce the carbon footprint is to convert second-generation biomass (s-BM) into fuels in oil refineries.
Achieving phthalide-based fluorescent materials with hybridized local and charge-transfer characteristics for efficient deep blue OLEDs
Authors: Feng Zijun , Liu Futong , Cheng Zhuang , Ge Shuyuan , Wang Yaxue , Yan Zhenyu , Ma Xiaobo , Wang Yan , Lu Ping
Published: February 2024

Three blue emitters, PPT, PPPT and PAPT with D–A/D–π–A architectures have been developed, in which phthalide was first adopted as a functional acceptor. The device based on PAPT exhibited maximum EQE of 10.2% and FWHM of 53 nm.
Prevalence and Predicting Factors of Pretreatment Dysphagia in Veterans With Head and Neck Cancer: A Pilot Study
Authors: Warner Heather L. , Romanelli Lauren , Adams Katherine , Xiao Jingyuan , Young Nwanmegha
Published: February 2024

Background:

Dysphagia is a common sequela in individuals with a diagnosis of head and neck cancer. However, the prevalence and predicting factors for pretreatment dysphagia have not been well identified in the literature. A priori knowledge of the presence of a pretreatment dysphagia is advantageous and can have clinically significant implications for management of this patient population. The ability to predict pretreatment dysphagia in this population would allow more targeted interventions and potential improvements in clinical outcomes.

Participants:

This pilot study investigated the prevalence and predicting factors of pretreatment dysphagia in 67 veterans with head and neck cancer through the West Haven, CT, Veterans Affairs cancer database.

Method:

Data for this study were acquired via retrospective medical record review.

Results:

The prevalence of pretreatment dysphagia in our sample was found to be 49.3%. Age and pretreatment percutaneous endoscopic gastrostomy placement were found to have a statistically significant relationship with pretreatment dysphagia. Stage of cancer diagnosis and the diagnosis of pretreatment dysphagia were found to have a statistically significant relationship with posttreatment dysphagia.

Conclusions:

Findings offer important preliminary data and clinical considerations about this issue and serve as a foundation for future research. There are a limited number of factors associated with pretreatment dysphagia, and clinicians should consider a conservative referral approach when considering the need for dysphagia assessment prior to the initiation of oncologic treatment.
Enhancing Resiliency and Productivity of Flood Prone Coastal Rice Farming through Integrated Organic-Biofertilizers and Crop Management for Climate Change Adaptation
Authors: Simarmata Tualar , Kamaluddin Nadia N. , Herdiyantoro Diyan , Setiawati Mieke R. , Adinata Kustiwa , Stöber Silke
Published: February 2024

Coastal rice farming is vulnerable to climate change, including flooding and extreme weather events. To enhance resilience and productivity, innovative approaches are essential. A study investigated the effects of soil amendment and biofertilizers on rice yield. The findings showed that the use of halotolerant rice varieties and the application of soil amendment and biofertilizers can serve as a primary strategy for flooded rice farming. Sustainable farming practices can empower coastal communities to better adapt to climate change and improve the sustainability of rice production.
Loss of Coral Reefs due to Ship Grounding in Indonesian Water: Case Study on Karimun Jawa National Park (TNKj)
Authors: Idris  , Yusuf Syaifudin , Johan Ofri , Fakhrurrozi  , Setiawan Eko Novi , Sianipar Osten
Published: February 2024

A ship grounding on coral reefs can cause severe physical and biological damage, including coral dislodgement and removal, skeleton destruction, sediment erosion, and loss of three-dimensional complexity. The event of a ship grounding in Karimunjawa National Park caused live coral degradation of 100% and massive damage to foliose and branched coral. The total loss of hard coral biodiversity reached 261,274 colonies in an area of ±2687.87 square meters. This destruction has reduced the biodiversity of coral reefs, necessitating urgent conservation and restoration efforts in the affected area. The specific data provided, such as variations in population and density, helps provide a comprehensive understanding of the ecological damage caused by the ship grounding.
Development of An Internet of Things Based Oil Spill Incident Early Warning System
Authors: Pradana Ganjar Adi , Siregar Suzanna Lamria
Published: February 2024

The risk of oil spills are very real, these incident could cause environmental damages and socio-economic losses. These incidents need to be known or realized as early as possible (real-time), to prevent and minimize their environmental and socio-economic impacts. An oil spill early warning system (EWS) based on the Internet of Things (IoT) could be a solution to solve this problem. This research succeeded in developing an EWS called the OSII (Oil Spill Incident Information) System, which allows users to get incident notifications or access the information and response status in real-time wherever they are. The development of this system uses the waterfall method with the stages: requirement analysis, design, implementation, testing and maintenance of the system. Each stage of development is analyzed and discussed in this study. System testing to the OSII System showed quite good results with several suggestions for further development and research.
Mangrove Community Structure and Healthiness in Rote Ndao, East Nusa Tenggara
Authors: Fakhrurrozi  , Yuniar Z. , Alam T.R. , Asriadi M.A. , Idris  , Yusri S. , Dewi R.A.
Published: February 2024

Mangroves in Rote Ndao play an important role in protecting and preserving 65% of fish and marine biota in this surrounding area. Unfortunately, the data and information about the condition of the mangrove ecosystem are limited and less published. This study aimed to determine the mangrove community structure and spatial distribution of mangrove healthiness in Rote Ndao District. Mangrove distribution was investigated using the k-means algorithm classification method by Sentinel 2A Surface Reflectance. Mangrove community structure and condition were studied in 39 observation plots spread around Rote Ndao Regency. The Healthiness distribution of the mangrove ecosystem was analyzed using the MHI Algorithm produced by Dharmawan. A total of 13 mangrove species have been identified, with the highest Important Value Index (IVI) Rizhophora apiculata and Sonneratia alba. The average canopy cover shows a medium value of 63.48±16.34%, density of 21.55±9.31 stand/plot, Diameter Breast Height (DBH) 15.93±5.25 cm, and height 12.05±4.54 m. Mangrove Health Index (MHI) shows a moderate to excellent category with an average of 64.01±13.18 %. The distribution of mangrove areas in Rote Ndao is 2,081.44 ha, and 6% or 124 ha areas are in the poor category.
Performance of Integrated Mangrove-Aquaculture (IMA) in District of Sidoarjo, East Java Indonesia
Authors: Widigdo Bambang , Ilman Muhammad , Santoso Nyoto , Sulistiono  , Kusmana Cecep , Krisanti Majariana
Published: February 2024

Indonesia holds 23% of the world’s mangroves but has witnessed significant declines, especially on Java Island, in the past 30 years. Ministry of Environment and Forestry (MOEF) data from 2021 reports 3.36 million hectares of mangroves, down by about 1 million hectares. The main reason is conversion to shrimp ponds, totaling around 322,000 hectares according to the Indonesian Shrimp Forum (FUI, 2021). Despite covering 93%, traditional ponds contribute only 29% to national shrimp production, a key export accounting for 40% of fisheries revenue.To mitigate further mangrove loss, the Ministry of Marine Affairs and Fisheries (MAF) targets an annual shrimp production of 2 million tons by 2024 through Integrated Mangrove-Aquaculture (IMA). Introduced in 1978, IMA’s productivity remains limited despite evaluations in Sidoarjo District, East Java. Polyculture ponds cultivate shrimp (tiger and vannamei), milkfish, and seaweed, with productivity ranging from 17.9 to 363.8 kg/ha/year for shrimp and additional 1,920 to 14,120 kg/ha/year for seaweed. Mangrove integration primarily occurs on embankments (>95%), covering 5% of the pond area, with few (<5%) on the platform (8%-10% coverage), affecting productivity inversely with farm size due to limited farmer management capability. This article explores IMA implementation in Sidoarjo District and suggests improvements for enhanced production.
Integrated Spatial-Development Planning (InS-Dep) for Marine Space Utilization of the Coastal Village Communities
Authors: Hadianti Atrida , Budisetiawan Juswono , Maulidya Q. , Putra Gaudentius Deanda Mahendra
Published: February 2024

Marine space is inseparable from the livelihood of the communities in coastal villages in terms of utilizing marine resources, as the main occupation of the people is fisherman. They need to secure marine areas in front of the village, however, the village government hold authority neither in planning nor managing the marine space for village development in the formal spatial planning. This study attempted to identify challenges and opportunities in developing a village master plan for utilizing of marine space. This study carried out through participatory action during the process of village development planning (RPJMDes) by implementing Integrated Spatial-Development Planning (InS-DeP) model. This model integrates spatial plan into the development plan by constructing a village masterplan that includes plans for utilization of the marine space that complements development programs. From a series of FGDs, it is observed that InS-DeP model faces challenges in technical mapping and lack of knowledge regarding alternative livelihood options in developing the plan for future uses. Through this experience, by implementing InS-DeP model, coastal village government can prepare a master plan for marine space as a consensus with the community to ensure a balance between exploitation and conservation activities.
Off-odour Identification from Volatile Organic Compounds (VOCs) of Spirulina
Authors: Prasetiyo Himawan , Purwaningsih Sri , Setyaningsih Iriani , Nurilmala Mala , Uju Uju , Tarman Kustiyariah
Published: February 2024

Spirulina platensis is a common cyanobacteria microalga with high nutrition and bioactive compound sources. The addition of spirulina in foods and beverages improves nutrition and bioactive compound content. However, certain species of cyanobacteria are known to produce various compounds causing off-odour. This study investigates the chemical profile and volatile organic compounds (VOCs) in spirulina biomass and determine off-odour potency. The spirulina extract was analysed phytochemical qualitatively and GC-MS (Gas Chromatography-Mass Spectrometry). The Spectra mass was compared to the mass spectral database and profile of chemical compound libraries. The result shows, phytochemical analysis positively contains of alkaloids, flavonoids, tannins, saponins, and terpenoids. A total of 155 volatile compounds consisting of classes acid, alcohol, aldehyde, alkene, benzene, ether, ester, ketone, sulphur-contain, and terpene were identified. The off-odour VOC content such as phytol; cyclopropanebutanoic acid, 2- [[2 - [[2 - [(2- pentylcyclopropyl) methyl) cyclopropyl) methyl) cyclopropyl) methyl]-, methyl ester; 3.7.11.15-tetramethyl-2-hexadecen-1-ol; Imidazole, 2-fluoro-5-(2-carboxyvinyl)-; β-ionone; and N,N-Dimethyl-O-(1-methyl-butyl)-hydroxylamine, were detected in spirulina. The odour descriptions of off-odour VOCs are floral, balsamic, powdery, waxy, rancid, sweaty, woody, alkali, and fish-like. The off-odour content of VOCs might influence food's sensory odour, with spirulina added in excessive quantities.
Incorporation of Spirulina platensis in Edible Coating for Shelf-Life Extension of Tomatoes (Lycopersicon esculentum Mill.) Umagna Variety
Authors: Rahimah Souvia , Ghassani Dewi , Martha Herlina , Nurhasanah Siti , Satya Awalina , Chrismadha Tjandra , Mardawati Efri
Published: February 2024

Tomatoes are a widely consumed fruit due to their rich nutritional profile and can command high market prices, exemplified by varieties like Umagna. Nevertheless, tomatoes are prone to damage. A viable solution involves applying an edible coating derived from Spirulina platensis. This study aims to investigate the effect of Spirulina platensis at different concentration on longevity of Umagna tomatoes during storage depending on the component of edible coating. Employing experimental techniques with descriptive analysis, the research underwent processing via regression and ANOVA tests. Findings demonstrated a connection between Spirulina platensis concentration and parameters such as respiration rate, weight loss, color changes, and shelf life. However, ANOVA results indicated no significant impact on factors like hardness, TAT content, water content, vitamin C content, or total sugar content (F < Fcrit). Notably, tomatoes coated with 0.5% Spirulina platensis displayed the most favorable outcomes, preserving attributes such as reduced respiration and weight loss, while maintaining hardness, TAT content, water content, vitamin C content, and total sugar content. A concentration of 0.5% Spirulina platensis extended the tomatoes’ shelf life to 52 days.
Protein Characterization in Edible Coating for Snack Bar Enriched with Spirulina
Authors: Dewanti Erika Wahyu , Lee Wen Chien , Tarman Kustiariyah , Santoso Joko , Nurjanah  , Hardiningtyas Safrina Dyah , Rehatta Jesica Audia
Published: February 2024

Spirulina, renowned for its impressive protein content of 55-70% of dry weight, surpasses commonly used plant sources like soybeans, peanuts, or cereals. However, Spirulina snack bars, with their inherent texture, may face challenges like moisture absorption and microbial growth. In this context, edible coatings emerge as a solution to prevent moisture ingress, microbial growth, and preserve the bars. This study delves into analyzing the protein content of edible coatings, specifically maltodextrin with a 6% concentration and 1% gelatin, aiming to assess their efficacy in safeguarding against ambient moisture and oxygen. The findings reveal that the snack bar with the specified coating concentration showcases enhanced visual appeal and a denser texture. Protein analysis using SDS PAGE identifies bands with molecular weights of 17kDa, 25kDa, and 35kDa, likely corresponding to αs-CN and β-CN proteins. Chromatogram analysis of the Spirulina snack bar using the HPX-87H column unveils a peak at 6.195 minutes in the methanol extract, indicating abundance in α-tocopherol, a vitamin E variant. This comprehensive exploration underscores the potential of edible coatings, providing insights into their role in preserving Spirulina snack bars and contributing to food industry advancements.
Possibilities of Using Technologies in Digital Transformation of Sustanable Development
Authors: Jabborova Dilafruz , Mamurova Dilfuza , Umurova Khushvakht Khakimovna , Ulasheva Umida , Djalolova Sevara Xolmuradovna , Khurramov Azizbek
Published: February 2024

The use of digital learning in the educational process, issues with teaching staff in the open-source digital learning system, pedagogical approaches to open education, and research done in the Republic of Uzbekistan are all examined in this article. The development of socio-economic realms as well as our daily activities today would be impossible without the widespread use of digital technology, which have now permeated every aspect of our life. Naturally, the arrival of cutting-edge technologies is profoundly altering the way that tax administration operates. It deals with more than just the interaction between taxpayers and tax authorities. It also introduces changes in everything from the submission of declarations to the ways that taxes are paid and the preservation of data.
Investigation of the Process of Destruction of a Roain Massif by Borehole Charges with an Axial Air Cavity by the Method of Physical Simulation
Authors: Zairov Sh.Sh. , Urinov Sh.R. , Ochilov Sh.A. , Каrаmаnоv А.N. , Kushnazorov I.S.
Published: February 2024

the design of downhole explosive charges with an axial air cavity was developed, which ensures uniform crushing of the rock mass and reduces the specific consumption of explosives. A technique has been developed for modeling the process of destruction of a rock mass by borehole charges with an axial air cavity. It has been established that with an increase in the diameter of the axial cavity, the mass of the charge and the specific consumption of explosives for breaking decrease. However, this decrease occurs only up to a certain limit, after which the volume of the chipped mass decreases and the specific consumption of explosives increases. The most efficient way is to reduce the specific consumption of explosives for breaking when the ratio of cavity diameters and charge diameters is 1.3:5–2.2:5. For other values of the ratio, the specific consumption of explosives increases dramatically.
One-vs-Rest vs. Voting Classifiers for Multi-Label Text Classification: An Empirical Study
Authors: V. Ashwinkumar , Arage Prajwal Pramod , R. Jeya , Sudhakaran Pradeep
Published: February 2024

Inthispaper,weconductanempiricalstudytocompare the performance of two popular approaches for multi-label text classification, which is a challenging task in naturallanguageprocessingthatrequirespredictingmultiplelabelsforagiventext:One-vs-RestandVotingclassifiers.Weevaluatetheseclassifiersonadatasetoftoxiccommentsandmeasuretheir performance using accuracy and hamming loss evaluationmetrics.OurexperimentalresultsshowthattheOne-vs-RestclassifierwithXGBoutperformstheVotingclassifierandachievesanaccuracyof91.7%.Thestudy’sresultscanbeusedasabenchmarkforfutureresearchinthisarea,andtheinsightsgained can be used to improve the accuracy and robustness ofmulti-label text classification models. Furthermore, our findingssuggest that the One-vs-Rest classifier with XGB is a promisingapproachformulti-labeltextclassificationtasks,whichcanprovidebetterresultsthanotherpopularclassifiers
AI and IoT in Farming: A Sustainable Approach
Authors: Abdul Hussein Abbas Hameed , Jabbar Kadhim A. , Mohammed Aymen , Al-Jawahry Hassan M.
Published: February 2024

This paper reviews the emerging and critical role of Artificial Intelligence (AI) and the Internet of Things (IoT) in transforming modern agriculture into a more sustainable and efficient practice. Faced with escalating global population demands and a myriad of challenges such as climate change, labor costs, and market fluctuations, the agricultural sector is at a pivotal juncture. The integration of AI and IoT offers a beacon of hope, enabling smarter farming methods through real-time monitoring, data analysis, and management of agricultural processes. This review delves into the application of these technologies in various facets of farming, including precision agriculture, crop yield forecasting, and the management of resources. It explores how AI's analytical prowess can predict and address crop diseases, automate farming operations, and assist in decision-making, while IoT's network of sensors and devices facilitates the real-time tracking and monitoring of farm conditions. Additionally, the synergy of these technologies with blockchain and cloud computing is examined, highlighting their potential in enhancing transparency, data security, and supply chain management. Collectively, these technological innovations are not just reshaping the agricultural landscape but are instrumental in steering it towards a more sustainable, productive, and resilient future.
From Field to Fork: The Role of AI and IoT in Agriculture
Authors: Kadhim Obaid Mohammed , Abood Baydaa Sh.Z. , Khalid Alazzai Waleed , Jasim Laith
Published: February 2024

In "From Field to Fork: The Role of AI and IoT in Agriculture," we explore the transformative impact of cutting-edge technology in the farming industry and its journey through the food supply chain. This article delves into how the Internet of Things (IoT) and Artificial Intelligence (AI) are revolutionizing the way food is grown, processed, and brought to market. It looks at key technologies such as Radio Frequency Identification (RFID), sensor networks, and Cloud Computing, highlighting their role in enhancing food production, streamlining transportation, and improving distribution methods. The review sheds light on the growing importance of big data, gathered from sensors in the fields and online social media platforms, in refining agricultural methods, from monitoring crops using drones to bringing supply chains into the modern age. The paper also examines the vital function of AI in fine-tuning farming practices, safeguarding food quality, and ensuring food safety. Additionally, it addresses the need for secure data management in agricultural production and discusses how blockchain technology can provide reliable traceability from the field to consumers' tables. Wrapping up with an overview of current trends and future prospects, the article emphasizes the crucial role of AI and IoT not just in enhancing agricultural efficiency and minimizing waste, but also in their potential to meet Keywords: Fork, AI and IoT, Agriculture, food.
Evaluation of Flexural Strength of Novel Hypo Sludge for Increasing the Strength of M30 Grade of Concrete by Partial Replacement for Cement and Addition of Sikacrete with Conventional Concrete
Authors: Ajay Kakarla , T.S. Lakshmi
Published: February 2024

Aim: This investigation looked at the effects of Novel Hypo Sludge and Sikacrete on concrete with the main objective of improving its mechanical qualities. To Assess the flexural and compressive strengths, and other mechanical properties of concrete when mixed with Novel Hypo Sludge and Sikacrete. Materials and Methods: The use of SikaCrete and partial substitution of innovative hyposludge (paper pulp) in cement enhance the flexural strength of concrete when compared to M30 grade conventional concrete. Results: In this experiment, the flexural strength of grade M30 concrete was tested after 28 days using a beam mould with dimensions of 500 mm x 100 mm x 100 mm. The experiment looked at the effects of adding hypo sludge in the range of 30% on the strength qualities of concrete.The findings of the tests show that the novel hypo sludge-infused concrete performs better than cement-only concrete. The novel hypo sludgeadded concrete had an average flexural strength of 19.31 N/mm2 compared to conventional concrete with an average flexural strength of 16.59 N/mm2. From the statistical analysis the significant value is computed as p value=0.000, (p<0.05), twotailed and is considered as statistically significant in the accuracy rate when comparing both Novel Hypo sludge and Conventional concrete. Group statistics for this 30% novel hyposludge concrete sample group Standard deviation (0.47883, 0.66145), mean (16.5889, 19.3111), and standard error (0.11286, 0.15591). Conclusion: As a consequence, the performance of HSC put through the flexural strength test can be significantly improved by adding Novel Hyposludge (Paper Pulp) to Cement and SikaCrete.
AI-Based Localization and Classification of Skin Disease
Authors: Sivasangari A. , Gomathi R.M. , D. Deepa , Ajitha P. , Tamilvavanan  , Helen Suji , Anandhi
Published: February 2024

In recent days, skin diseases are increased in humans. Skin conditions are brought on by illnesses or germs. The prevalence of certain skin conditions, such as ringworm, yeast infections, allergens, etc., is rising daily. In order to stop the proliferation of these illnesses, it is therefore important to detect them early. Some variables, such as clinical characteristics taken into account for recognising the illness, can be used to recognise it. Dermatitis in children ages 0 to 5, warts are children ages 6 to 11, and acne vulgaris in children ages 12 to 16 are among that potential skin illnesses. Dermatomyositis is a skin ailments that can affect people of all ages, including kids around aged of five and fifteen and people around the ranges of forty and sixty..
Performance Analysis of Novel Linear Regression Algorithm with Improved Accuracy Compared over K-Nearest Neighbor in Predicting Wind Power Generation
Authors: Deepak P. Lakshmi , Jagadeesh P.
Published: February 2024

This work proposes a novel Linear Regression algorithm compared its performance with the K-Nearest Neighbor (KNN) algorithm for improving the accuracy of wind power generation prediction.In this study, two groups were created for the purpose of comparing the effectiveness of the KNN model (group 1) and the Linear Regression model (group 2) in predicting wind energy output. Each group consisted of 10 samples, resulting in a total of 20 samples used for the analysis. The data in this study were collected from an actual wind turbine and include the following factors: wind speed, altitude, humidity, air density, wind direction, and output power. The information was gathered at 10-minute intervals over the course of a year. The dataset was preprocessed, and the mean value of the corresponding variable was used to impute the missing values. Seventy percent of the data was used for training and thirty percent for testing. The training set was used to train the models, whilst the testing set was used to assess the effectiveness of the models. Python’s scikit-learn module was made use for the development of the Linear Regression technique. Based on statistical power (G-power) = 0.8, α = 0.05, CI of 95% confidence interval was also calculated. The observations indicate that the Linear Regression algorithm is more accurate than the KNN technique. The linear regression model achieved an accuracy of 82.15%, whereas the KNN model had a lower accuracy of 79.55% for predicting wind energy output. Additionally, the statistically significance values of the research was determined to be at a p-value of 0.001 (p<0.05). The algorithm was implemented and evaluated using real-world wind power generation data, and the findings demonstrate that, in terms of accuracy, This Linear Regression algorithm surpasses the KNN approach.
Experimental and Statistical Study of Flexural Strength in Concrete using Novel Kaolinite Coal
Authors: Ayampalayam Nanjappan Swaminathen , Manogaran Siva , Alphonse Belin Jude , Balasubramanian Hemalatha , Razack Nasar Ali
Published: February 2024

The purpose of this research is to measure the flexural strength of both traditional and newly modified concrete beams with kaolinite coal added. Two sets of eighteen samples each were ready for the data collection. Two sets of specimensare prepared: 18 specimens of one set using modified concrete that has been treated with kaolinite coal, and the other set of 18 specimens using traditional concrete beams. The preparation and examination of the samples involved the use of flexural strength test equipment. The beam specimen size was taken as 100 x 100 x 500mm. The SPSS software version 29 has been utilized to conduct the independent sample T-test. The statistical analysis included Levene's test for equality of variances and a t-test for equality of means to assess the flexural strength of two groups. Levene's test revealed a significant difference in variances between the groups (F=2.909, p=0.097). Subsequently, the t-test assuming equal variances indicated a highly significant difference in means (t=-16.954, df=34, p=0.000). The mean difference in flexural strength was -1.43578, with a standard error of 0.08469 and a 95% confidence interval ranging from -1.60788 to -1.26367. The t-test assuming unequal variances corroborated the significant difference in means (t=-16.954, df=29.822, p=0.000), with a consistent mean difference and confidence interval. The modified concrete beam sample with kaolinite coal added has a mean flexural strength of 4.75 N/mm2, while the standard concrete beam sample has a mean flexural strength of 2.73 N/mm2.
Impact of Machine Learning Techniques in Medical Treatment Assistance in Perspective to AR & VR Technologies
Authors: Gour Sanjeev , Qureshi Abdul Razzak Khan , Tukra Garima Silakri , Bairagi Vibha , Dehariya Himanshu , Shandilya Ankit
Published: February 2024

Abstract: This research paper explores the transformative impact of machine learning techniques in the field of medical treatment assistance, with a focus on the integration of Augmented Reality (AR) and Virtual Reality (VR) technologies. It investigates the ways in which machine learning, AR, and VR collectively enhance medical diagnostics, surgery, patient care, and medical training. Through an in-depth examination of recent advancements and case studies, this paper aims to demonstrate how these technologies are revolutionizing healthcare and contributing to more accurate diagnoses, minimally invasive surgeries, improved patient outcomes, and enhanced medical education.
Evaluation of pulmonary function tests in long and short distance runners
Authors: Nehe Sanjay , Ambad Ranjit , Totey Manish , Jadhav Deepali , Dhawade Manish Ramdas , Wankhade Yashwant
Published: February 2024

Physical exercise has been reported to improve many health indices and well-being of individual of any age. Among various physical exercises, running is hugely popular and convenient leisure time activity. Running reduces the risk of respiratory illness. Runners have increased pulmonary/respiratory capacity compared to non-exercising individuals. All parameters of PFT like forced vital capacity (FVC), forced expiratory volume in 1st second (FEV1), forced expiratory volume in three second (FEV3), peak of expiratory flow rate (PEFR) and FEV1/FVC ratio were significantly high in long distance runners and controls.The study included a total of 50 each of long and short distance runners. Additionally, 50 age matched individuals with leisure-time physical activity or activities done for less than 20 minutes or less than 3 times/week were included in the study. The PFT was performed by using Medspiror (Computerized spirometry).All PFT indices like forced vital capacity (FVC), forced expiratory volume in 1st second (FEV1), forced expiratory volume in three second (FEV3), peak of expiratory flow rate (PEFR) and FEV1/FVC ratio were significantly high in long and short distance runners as compared to controls.running being an aerobic exercise has beneficial effect on respiratory system. Both regular long distance and short distance running enhance the pulmonary capabilities of an individual. The study emphasizes on modification of life style from sedentary to regular physical exercise for improving pulmonary functions.
Technology, transmission, trust, and tendency: Detecting trends in COVID-19 related fabricated content of virtual fact-check networks
Authors: Kumar Manoj , Sharma Amit , Singh Paramveer , Yadav Raj Kumar , Verma Sakshi , Bharadwaj Mayank
Published: February 2024

The COVID-19 outbreak has punctured every part of a person's life, along with how people perform, enjoy, study, work out, and interact with one another. The debunking industry has tried to lessen the enormous spread of false information in modern society due to the growth of social media. Current research investigates debunked fallacious content relating to COVID-19 in India, intending to understand the key themes and trends in fabricated content for health literacy. The study is exploratory and uses supervised machine learning for the purpose of classification. The study uses thematic analysis techniques to look at the 506 claims of false information about COVID-19 that Indian fact-checking platforms have refuted. The results discern specific trends and health literacy within the range. The tendency toward fallacious content starts with anger toward China and creates communal hatred against India's minority group. Political propaganda, then false health information, was the main subject of such content. Moreover, many misrepresented and refuted claims came from the mainstream media.
Precision Farming: The Power of AI and IoT Technologies
Authors: Alazzai Waleed K. , Abood Baydaa Sh.Z. , Al-Jawahry Hassan M. , Obaid Mohammed Kadhim
Published: February 2024

This review article titled "Precision Farming: The Power of AI and IoT Technologies" delves into the transformative impact of Artificial Intelligence (AI) and the Internet of Things (IoT) in revolutionising modern agricultural practices. This paper explores the integration of cutting-edge technologies, including AI, IoT, remote sensing, and Geographic Information Systems (GIS), in addressing the challenges posed by diminishing agricultural resources and an expanding population. Precision farming, empowered by these technologies, offers a paradigm shift from traditional farming methods to a more data-driven, efficient, and environmentally sustainable approach. The use of AI and IoT in agriculture has led to significant advancements in crop monitoring, resource management, and decision-making processes. However, the implementation of these technologies is not without challenges, such as accessibility, connectivity, and the complexity of integration. This article reviews the current state and future prospects of precision farming, emphasising its role in enhancing agricultural productivity while minimising environmental impact. The potential for future innovations in this field is vast, promising a new era of efficient and sustainable farming practices essential for global food security.
Mechanical Behavior of Handmade Epoxy-Based Composites
Authors: Al-Farouni Mohammed , Joshi Sanjeev Kumar , N. Rajiv Gandhi , Kasthuri R. , Joshi Ankita
Published: February 2024

The development of products in a variety of industries is now being increasingly influenced by material advancements. Many experts are looking for basic materials that are strong, light, and inexpensive. Solids are often rather thick, whereas light materials are weaker. To attain significant strength while lowering weight, we use composite materials. This work deals with the mixed effects of composites made by hand using an epoxy tar and a hardener along with different fiberes of chopped mate (KC), Kenaf (KA), and Kevlar (KB). Mechanical studies such as tensile (UTS), flexural (FL), impact (IM), and hardness (BHN) were conducted after creating specimens according to standard measurements.
On Solving Multi-Attribute Decision Making Problem Using AHP
Authors: J. Jayapriya , K. Selvakumari , S. Kavitha
Published: February 2024

Multi-attribute Decision Making (MADM) is concerned with the elucidation of the levels of preference of decision alternatives, through judgments made over a number of criteria. Many complex MADM problems are characterized with both quantitative and qualitative-of preference of decision alternatives, through judgments made over a number of criteria. Many complex MADM problems are characterized with both quantitative and qualitative-attributes. In selection of its suppliers, an organization needs to take into account such attributes as quality, technical capability, supply chain management, financial soundness, environmental and so on. Many smart technologies are used in modern cities to improve society's well-being in many ways. The proposed research focuses on communication methods for data applications. Our main goal for this paper is to use little energy as possible while delivering as much data as possible by using multi-attribute decision-making.
Mechanical Properties of FSW Joints Magnesium Alloy at Different Rotational Speeds
Authors: Vijayaraghavan P. , Bisht Yashwant Singh , Almusawi Muntather , K. Subramani , Sharma Deepti
Published: February 2024

Magnesium (Mg) has become a focus in the transportation industry due to its potential in reducing fuel consumption and gas emissions while improving recyclability. Mg alloys are also known for their low neutron absorption, good resistant of carbon dioxide as well as thermal conductivity which makes them suitable for use in industrial equipment for nuclear energy. there has been an increasing interest in the research and development of Mg alloys. These are the lightest of all metallic structural materials and are approximately 33% lighter than aluminium (Al) and 75% lighter than ferrous (Fe) alloys and have excellent specific mechanical properties. In this work, FSW of AZ31B Alloy was examined at the various rotational speeds of 900 -1440 rpm, with fixed welding speed of 40mm/min and 2° tool tilt angle using an HSS tool. The mechanical properties were compared for the different rotational speeds. The quality of FSW joints is dependent on input value of heat and material flow rate, which are prejudiced by process parameters., higher rotation speeds may cause abnormal stirring, resulting in a tunnel defect at the weld nugget due to increased strain rate and turbulence.
A survey of security challenges, attacks in IoT
Authors: Prakash Ramya , Jyoti Neeli , Manjunatha S.
Published: February 2024

A network of linked devices that can gather, process, and exchange data is known as the Internet of Things (IoT). It delivers several benefits such as convenience, efficiency and automation. However, IoT also poses significant security concerns that necessity to be describe like the heterogeneity and diversity of IoT devices with different hardware, software and communication protocols. Now a days the large scale and complexity of IoT systems, which may involve multiple stakeholders, domains and layers. The limited resources and capabilities of IoT devices, which may affect their ability to perform security functions such as encryption, authentication and update. The vital and evolving features of IoT environments, which may introduce new threats and vulnerabilities over time. These challenges require novel and holistic approaches to ensure that privacy and security of IoT systems and its users. With the develop of security standards and best practices for IoT devices and systems it should include Implementation of security by design and security by default principles for IoT development and deployment by adopting risk-based and adaptive security mechanisms for IoT management, operation and enhanced security awareness and education among IoT users and stakeholders.
Pathways to new exotic nuclei
Authors: Diaz-Torres Alexis , Heinz Sophia
Published: February 2024

The challenge of today’s nuclear physicists is to extend the nuclide chart. We produce and study exotic nuclei to understand the nature of the nuclear force, the origin of chemical elements in the universe and the energy production and evolution of stars. Beyond, exotic nuclei are used in various applications like medicine or compact power sources.
Narbenentstörung
Authors: Jahn Claus , Rathay Uwe , Zhang Zheng , von Löwensprung Natalie Rosenhauer
Published: February 2024

4 Expert*innen stellen Ihnen Behandlungsstrategien der Narbenentstörung aus der Komplexmittelhomöopathie, der Neuraltherapie, der TCM und der Anthroposophischen Medizin vor.
Auf den Spuren der Samtpfoten
Authors: Bastian Petra
Published: February 2024

Mögliche Blockaden oder Barrieren, die den ausgewählten Therapieansätzen entgegenwirken, müssen in der Praxis ergründet werden. Der Fallbericht beschreibt einen solchen Prozess. Bei der kleinen Patientin mit Neurodermitisschüben und wiederkehrenden Bronchitiden hing die Blockade mit geopathischen Störfeldern zusammen. Den Hinweis auf diesen Ursprung gab ausgerechnet das Verhalten einer Katze, von dem die Mutter des Mädchens fast beiläufig berichtete.
Mehr als nur müde
Authors: Helbing Michael
Published: February 2024

Die ME/CFS – Myalgische Enzephalomyelitis/Chronisches Fatigue-Syndrom – ist eine schwerwiegende Erkrankung, die vordergründig mit „Erschöpfung“ assoziiert wird. Die auslösenden Faktoren sind ebenso variabel wie die auftretenden Symptome. Die Pathophysiologie der ME/CFS ist nur teilweise gesichert. Beobachten lässt sich vor allem ein rapider Abfall körperlicher Leistungen nach Belastungen: Die Postexertionelle Malaise (PEM) stellt das Schlüsselsymptom der ME/CFS dar. In der Verarbeitung der Krankheit können auch psychosomatische Erkrankungen wie Depressionen auftreten, von denen die ME/CFS als neurologische Systemerkrankung klar abzugrenzen ist, um Fehldiagnosen vorzubeugen.
Air Versus Saline in Tissue Expanders: A Systematic Review of the Literature
Authors: Kim Erin J. , Friedman Rosie , Nickman Sasha , Perry Dylan J. , Bustos Valeria P. , Lee Bernard T.
Published: February 2024

Background There has been a greater focus in recent literature proposing air to be a superior medium to saline in tissue expanders. This study aims to review the literature and assess the quality of data on the efficacy and safety of air as an alternative medium to saline in tissue expanders, in the setting of postmastectomy two-stage reconstruction.

Methods A systematic review regarding air inflation of tissue expanders was conducted using PubMed, Embase, Cochrane Library, and Web of Science. The methods followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Three reviewers separately performed data extraction and comprehensive synthesis.

Results A total of 427 articles were identified in our search query, of which 11 met the inclusion criteria. Three pertained to inflation with room air, and eight pertained to inflation with CO2 using the AeroForm device. They were comparable to decreased overall complication rates in the room air/CO2 cohort compared to saline, although statistical significance was only observed in one of five two-arm studies. Investigating specific complications in the five two-arm studies, significantly lower rates of skin flap necrosis were only observed in two CO2-based studies. Studies rarely discussed other safety profile concerns, such as the impacts of air travel, radiation planning, and air extravasation beyond descriptions of select patients within the cohort.

Conclusion There is insufficient evidence to suggest improved outcomes with room air inflation of tissue expanders. Further work is needed to fully characterize the benefits and safety profiles of air insufflation before being adopted into clinical practice.
The political and social contradictions of the human and online environment in the context of artificial intelligence applications
Authors: Rakowski Roman , Kowaliková Petra
Published: February 2024

The aim of the study is a comprehensive view of the topic of social impacts of the use of artificial intelligence and provides a basis for further discussions and research in this important area. It engages in debates on how to ensure that technological advances in artificial intelligence are compatible with democratic values and social justice. The article emphasizes the need for an interdisciplinary approach to exploring the social impacts of AI and calls for collaboration among technical experts, ethicists, lawyers, and social scientists. It underscores the importance of creating appropriate regulations and ethical guidelines for the use of AI to achieve a society that benefits from technological progress while ensuring justice and protecting the rights of individuals. The authors note that the social and political challenges associated with AI are complex and multifactorial, requiring comprehensive analysis and reflective discussion. The main scientific question of the study is the nature of the relationship between AI and society and what scientific approaches should be chosen in order to uncover this situation as best as possible.
Evol project: a comprehensive online platform for quantitative analysis of ancient literature
Authors: Wang Jun , Duan Siyu , Fu Binghao , Gao Liangcai , Su Qi
Published: February 2024

Quantitative cultural studies have witnessed a surge with the rapid development of computer technology in recent years. Since ancient literature constitutes a long-time-span repository for human culture, with quantitative methods and ancient texts, scholars can study the genesis and progression of human history and society across historical epochs from digital perspectives. Nevertheless, traditional humanities scholars often lack the requisite technical skills, creating a demand for interactive platforms. This paper introduces the Evol platform—an online tool designed for the quantitative analysis of ancient literature. Equipped with various analysis functions and visualization tools, the Evol platform allows users to quantify literary documents through intuitive online interaction. Using this platform, we investigated three cases of cultural evolution in ancient Chinese history: (1) the changing attitude of the government towards nomadic ethnic groups; (2) the formulation and propagation of an allusion phrase related to the Battle of Muye; (3) the influence of the Book of Changes across diverse cultural domains. By showcasing cases across diverse semantic units and topics, Evol demonstrates its potential in providing efficient and low-cost experimental tools catering to the realms of culturomics, history, and philology.
Design and implementation of user task offloading algorithm
Authors: He Qinlu , Wang Rui , Zhang Fan , Bian Genqing , Zhang Weiqi , Li Zhen
Published: February 2024

After the service provider temporarily selects the required edge nodes based on social and storage capabilities, application execution causes the edge nodes to cache part of the application data. Therefore, offloading part of the application computing tasks to the selected edge nodes can effectively improve application execution performance. However, in cases where the resources of user’s IoT devices are insufficient, tasks can be further offloaded to traditional edge servers or even to the cloud to maximize application execution efficiency. In this paper, the entire uninstall utility is modeled as a weighted sum of task completion time and energy consumption. Under the premise of considering users’ preferences for completion time and energy consumption, a game-based uninstallation algorithm is proposed. The algorithm performs uninstallation by optimizing the uninstallation decision. Based on user preferences, the total system overhead is relatively small. The subsequent simulation experiments show that the algorithm can reduce system overhead on the basis of satisfying user preferences and has relatively good adaptability.
A portable optical pulsatile flowmetry demonstrates strong clinical relevance for diabetic foot perfusion assessment
Authors: Bi Renzhe , Zhang Ruochong , Meng Lingyan , Du Yao , Low Julie , Qi Yi , Rajarahm Poongkulali , Lai Alexis Yuen Fun , Tan Victoria Shi Ying , Ho Pei , Olivo Malini
Published: February 2024

We present a robust, cost-effective (<2000 USD), and portable optical diffuse speckle pulsatile flowmetry (DSPF) device with a flexible handheld probe for deep tissue blood flow measurement in the human foot as well as a first-in-man observational clinical study using the proposed optical device for tissue ischemia assessment and peripheral artery disease (PAD) diagnosis. Blood flow in tissue is inherently pulsatile in nature. However, most conventional methods cannot measure deep tissue-level pulsatile blood flow noninvasively. The proposed optical device can measure tissue-level pulsatile blood flow ∼6 mm underneath the skin surface. A new quantitative tissue perfusion index (TPIDSPF) based on frequency domain analysis of the pulsatile blood flow waveform is defined to assess tissue ischemia status. Through a clinical study involving 66 subjects, including healthy individuals and diabetes patients with and without PAD, TPIDSPF demonstrated strong correlations of 0.720 with transcutaneous tissue partial oxygen pressure (TcPO2) and 0.652 with toe–brachial index (TBI). Moreover, among the three methods, TPIDSPF demonstrated the highest area under the curve for PAD diagnosis among diabetes patients, with a notable value of 0.941. The promising clinical results suggest that the proposed optical method has the potential to be an effective clinical tool for identifying PAD among the diabetic cohort.