bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Superplasticizers on the Performance of Low-Grade Limestone-Based Cement Mixes
Authors: Muthu Murugan , Kumar Boddapati Ganesh , Ukrainczyk Neven , Sadowski Łukasz , Koenders Eddie
Published: May 2024

Low-grade limestone (LGL) is not used to produce cement clinker, but this leftover material in cement quarries increases the water demand when used as a filler in concrete production. In this study, the effect of six commercial superplasticizers on the performance of cement mixes containing 35% LGL and 2% gypsum was investigated. The optimal doses of these superplasticizers were found in a range of different water/binder (w/b) ratios by conducting several Marsh cone and mini-slump tests. The addition of a superplasticizer with a higher active solid content produced a maximum cement flow, regardless of the w/b ratios. The LGL-based mortar samples admixed with this superplasticizer obtained a maximum compressive strength of about 36 MPa at the end of 28 days. SEM and XRD results showed the formation of a new calcium-rich mineral in their microstructure. These findings highlight the impact of the type and properties of superplasticizers on the performance of concrete mixes containing LGL as a supplementary cementitious material.
A Novel Electrochemical Sensor Based on Pd Confined Mesoporous Carbon Hollow Nanospheres for the Sensitive Detection of Ascorbic Acid, Dopamine, and Uric Acid
Authors: Zhang Wanqing , Li Xijiao , Liu Xiaoxue , Song Kaixuan , Wang Haiyang , Wang Jichao , Li Renlong , Liu Shanqin , Peng Zhikun
Published: May 2024

In this study, we designed a novel electrochemical sensor by modifying a glass carbon electrode (GCE) with Pd confined mesoporous carbon hollow nanospheres (Pd/MCHS) for the simultaneous detection of ascorbic acid (AA), dopamine (DA), and uric acid (UA). The structure and morphological characteristics of the Pd/MCHS nanocomposite and the Pd/MCHS/GCE sensor are comprehensively examined using SEM, TEM, XRD and EDX. The electrochemical properties of the prepared sensor are investigated through CV and DPV, which reveal three resolved oxidation peaks for AA, DA, and UA, thereby verifying the simultaneous detection of the three analytes. Benefiting from its tailorable properties, the Pd/MCHS nanocomposite provides a large surface area, rapid electron transfer ability, good catalytic activity, and high conductivity with good electrochemical behavior for the determination of AA, DA, and UA. Under optimized conditions, the Pd/MCHS/GCE sensor exhibited a linear response in the concentration ranges of 300–9000, 2–50, and 20–500 µM for AA, DA, and UA, respectively. The corresponding limit of detection (LOD) values were determined to be 51.03, 0.14, and 4.96 µM, respectively. Moreover, the Pd/MCHS/GCE sensor demonstrated outstanding selectivity, reproducibility, and stability. The recovery percentages of AA, DA, and UA in real samples, including a vitamin C tablet, DA injection, and human urine, range from 99.8–110.9%, 99.04–100.45%, and 98.80–100.49%, respectively. Overall, the proposed sensor can serve as a useful reference for the construction of a high-performance electrochemical sensing platform.
Hydroxyl Group as the ‘Bridge’ to Enhance the Single-Molecule Conductance by Hyperconjugation
Authors: Lv Xin , Li Chang , Guo Meng-Meng , Hong Wenjing , Chen Li-Chuan , Zhang Qian-Chong , Chen Zhong-Ning
Published: May 2024

For designing single-molecule devices that have both conjugation systems and structural flexibility, a hyperconjugated molecule with a σ–π bond interaction is considered an ideal candidate. In the investigation of conductance at the single-molecule level, since few hyperconjugation systems have been involved, the strategy of building hyperconjugation systems and the mechanism of electron transport within this system remain unexplored. Based on the skipped-conjugated structure, we present a rational approach to construct a hyperconjugation molecule using a hydroxyl group, which serves as a bridge to interact with the conjugated fragments. The measurement of single-molecule conductance reveals a two-fold conductance enhancement of the hyperconjugation system having the ‘bridging’ hydroxyl group compared to hydroxyl-free derivatives. Theoretical studies demonstrate that the hydroxyl group in the hyperconjugation system connects the LUMO of the two conjugated fragments and opens a through-space channel for electron transport to enhance the conductance.
Strategies for Accessing cis-1-Amino-2-Indanol
Authors: Mendas Inès , Gastaldi Stéphane , Suppo Jean-Simon
Published: May 2024

cis-1-amino-2-indanol is an important building block in many areas of chemistry. Indeed, this molecule is currently used as skeleton in many ligands (BOX, PyBOX…), catalysts and chiral auxiliaries. Moreover, it has been incorporated in numerous bioactive structures. The major issues during its synthesis are the control of cis-selectivity, for which various strategies have been devised, and the enantioselectivity of the reaction. This review highlights the various methodologies implemented over the last few decades to access cis-1-amino-2-indanol in racemic and enantioselective manners. In addition, the various substitution patterns on the aromatic ring and their preparations are listed.
Improving the Conversion Ratio of QDSCs via the Passivation Effects of NiS
Authors: Meyer Edson Leroy , Agoro Mojeed Adedoyin
Published: May 2024

To revolutionize the photochemical efficiency of quantum dots sensitized solar cells (QDSSCs) devices, herein, a passivation of the cells with multilayer material has been developed for heterojunctions TiO2/NiS/MnS/HI-30/Pt devices. In this study, NiS and MnS were deposited on a photoanode for the first time as passivated photon absorbers at room temperature. The adoption of NiS as a passisvative layer could tailor the active surface area and improve the photochemical properties of the newly modified cells. The vibrational shifts obtained from the Raman spectra imply that the energy change is influenced by the surface effect, giving rise to better electronic conductivity. The electrochemical stability and durability test for the N/M-3 device slows down and remains at 8.88% of its initial current after 3500 s, as compared to the N/M-1 device at 7.20%. The disparity in charge recombination implies that both the outer and inner parts of the nanoporous material are involved in the photogeneration reaction. The hybridized N/M-3 cell device reveals the highest current density with a low potential onset, indicating that power conversion occurs more easily because photons tend to be adsorbed easily on the surface of the MnS. The Nyquist plot for N/M-1 and N/M-3 promotes the faster transport of electrolytic ions across the TiO2/NiS/MnS, providing a good interaction for the electrolyte. The I-J Value of 9.94% shows that the passivation with the NiS layer promotes electron transport and enhances the performance of the modified cells. The passivation of the TiO2 layer with NiS attains a better power conversion efficiency among the scant studies so far on the surface passivation of QDSCs.
The Application of Rat Models in Staphylococcus aureus Infections
Authors: Liang Hongyue , Wang Yadong , Liu Fang , Duan Guangcai , Long Jinzhao , Jin Yuefei , Chen Shuaiyin , Yang Haiyan
Published: May 2024

Staphylococcus aureus (S. aureus) is a major human pathogen and can cause a wide range of diseases, including pneumonia, osteomyelitis, skin and soft tissue infections (SSTIs), endocarditis, mastitis, bacteremia, and so forth. Rats have been widely used in the field of infectious diseases due to their unique advantages, and the models of S. aureus infections have played a pivotal role in elucidating their pathogenic mechanisms and the effectiveness of therapeutic agents. This review outlined the current application of rat models in S. aureus infections and future prospects for rat models in infectious diseases caused by S. aureus.
Antioxidant and Antifungal Properties of Cinnamon, Cloves, Melia azedarach L. and Ocimum gratissimum L. Extracts against Fusarium oxysporum Isolated from Infected Vegetables in Mauritius
Authors: Jeewon Rajesh , Pudaruth Shaan B. , Bhoyroo Vishwakalyan , Aullybux Aadil Ahmad , Rajeshkumar Kunhiraman C. , Alrefaei Abdulwahed Fahad
Published: May 2024

Background: Fusarium species, a group of economically destructive phytopathogens, are poorly studied in Mauritius where agriculture holds much significance. Furthermore, the increasing popularity of organic farming has prompted interest in alternatives to chemical fungicides. Methods: After gaining an overview of Fusarium prevalence in Mauritius fields through a survey, the pathogen was isolated from infected crops and identified based on morphological and molecular characteristics. Methanol and water extracts were then prepared from Melia azedarach, Ocimum gratissimum, cinnamon and cloves before determining their phytochemical profiles. Additionally, the antioxidant and antifungal effects of different concentrations of aqueous extracts were assessed. Results: The isolate was confirmed as Fusarium oxysporum, and cloves inhibited its growth by up to 100%, especially at 60 and 90 g/L, with the results being significantly higher than those of the synthetic fungicide mancozeb. Over 50% inhibition was also noted for cinnamon and Ocimum gratissimum, and these effects could be linked to the flavonoids, phenols and terpenoids in the extracts. Conclusion: This study presented the aqueous extracts of cloves, cinnamon and Ocimum gratissimum as potential alternatives to chemical fungicides. It also confirmed the prevalence of Fusarium infection in Mauritius fields, thereby highlighting the need for additional studies on the pathogen.
The Slow Growth of Adventitious Roots in Tetraploid Hybrid Poplar (Populus simonii × P. nigra var. italica) May Be Caused by Endogenous Hormone-Mediated Meristem Shortening
Authors: Wu Lixia , Ren Yuxin , Wang Xuefang , Zhang Yuntong , Wang Jun
Published: May 2024

Polyploidization produces abundant phenotypic variation. Little is currently known about adventitious root (AR) development variation due to polyploidization. In this study, we analyzed the morphological, cytological, and physiological variations in AR development between tetraploid and diploid Populus plants during in vitro rooting culture. Compared to the diploids, the AR formation times and rooting rates of the tetraploids’ stem explants had non-significant changes. However, the tetraploid ARs exhibited significantly slower elongation growth than the diploid ARs. Cytological observation showed that the tetraploid ARs were characterized by shorter root meristems and reduced meristem cell numbers, suggesting the reasons for the slow AR elongation. Analysis of hormones and related metabolites during AR development demonstrated that the total auxin, cytokinin, and jasmonic acid contents were significantly lower in the tetraploid ARs than in those of the diploids, and that the ratio of total auxins to total CKs at 0 h of AR development was also lower in the tetraploids than in the diploids, whereas the total salicylic acid content of the tetraploids was consistently higher than that of the diploids. qPCR analysis showed that the expression levels of several hormone signaling and cell division-related genes in the tetraploid ARs significantly differed from those in the diploids. In conclusion, the slow elongation of the tetraploid ARs may be caused by the endogenous hormone-mediated meristem shortening. Our findings enhance the understanding of polyploidization-induced variation in AR development of forest trees.
Point-of-Care Fluorescence Biosensing System for Rapid Multi-Allergen Screening
Authors: Demuru Silvia , Chai-Gao Hui , Shynkarenko Yevhen , Hermann Nicola , Boia Patricia-Daiana , Cristofolini Peter , Petkus Bradley , Generelli Silvia , Paoletti Samantha , Cattaneo Stefano , Burr Loïc
Published: May 2024

With the steady increase in allergy prevalence worldwide, there is a strong need for novel diagnostic tools for precise, fast, and less invasive testing methods. Herein, a miniatured fluorescence-based biosensing system is developed for the rapid and quantitative detection of allergen-specific immunoglobulin-E. An antibody-based fluorescence assay in a microfluidic-patterned slide, combined with a custom-made portable fluorescence reader for image acquisition and user-friendly software for the data analysis, enables obtaining results for multiple allergens in just ~1 h with only 80 μL of blood serum. The multiplexed detection of common birch, timothy grass, cat epithelia, house dust mite, and dog epithelia shows quantitative IgE-mediated allergic responses to specific allergens in control serum samples with known total IgE concentration. The responses are verified with different control tests and measurements with a commercial fluorescence reader. These results open the door to point-of-care allergy screening for early diagnosis and broader access and for large-scale research in allergies.
Traffic Sign Recognition Using Multi-Task Deep Learning for Self-Driving Vehicles
Authors: Alawaji Khaldaa , Hedjar Ramdane , Zuair Mansour
Published: May 2024

Over the coming years, the advancement of driverless transport systems for people and goods that are designed to be used on fixed routes will revolutionize the transportation system. Therefore, for a safe transportation system, detecting and recognizing traffic signals based on computer vision has become increasingly important. Deep learning approaches, particularly convolutional neural networks, have shown exceptional performance in various computer vision applications. The goal of this research is to precisely detect and recognize traffic signs that are present on the streets using computer vision and deep learning techniques. Previous work has focused on symbol-based traffic signals, where popular single-task learning models have been trained and tested. Therefore, several comparisons have been conducted to select accurate single-task learning models. For further improvement, these models are employed in a multi-task learning approach. Indeed, multi-task learning algorithms are built by sharing the convolutional layer parameters between the different tasks. Hence, for the multi-task learning approach, different experiments have been carried out using pre-trained architectures like, for instance, InceptionResNetV2 and DenseNet201. A range of traffic signs and traffic lights are employed to validate the designed model. An accuracy of 99.07% is achieved when the entire network has been trained. To further enhance the accuracy of the model for traffic signs obtained from the street, a region of interest module is added to the multi-task learning module to accurately extract the traffic signs available in the image. To check the effectiveness of the adopted methodology, the designed model has been successfully tested in real-time on a few Riyadh highways.
Spatially Multiplexed Speckle on 1D Sensors for High-Speed 2D Sensing Applications
Authors: Rubio-Oliver Ricardo , Sanz Martin , Sigalov Michael , García Javier , Beiderman Yevgeny
Published: May 2024

Speckle pattern-based remote vibration monitoring has recently become increasingly valuable in industrial, commercial, and medical applications. The dynamic and random nature of speckle patterns offers practical applications for imaging and measurement systems. The speckle pattern is an interference pattern generated by light scattered from a rough surface onto a remote plane. It is typically sensed using area scan cameras (2D), which are limited to framerates of 2–4 kHz and can only capture a small region of interest (ROI). In this work, we propose a technique that enables the capture of synthetic 2D speckle patterns using a 1D high-acquisition-rate sensor and a diffractive optical element (DOE) to produce image replicas. The multiple replicas are scanned by the 1D sensor simultaneously at different spatial positions. This method provides an ability to sense remote vibrations in all directions, contrary to the case with a simple 1D sensing system.
Advancing a Non-Contact Structural and Prognostic Health Assessment of Large Critical Structures
Authors: Chiu Wing Kong , Kuen Thomas , Vien Benjamin Steven , Aitken Hugh , Rose Louis Raymond Francis , Buderath Matthias
Published: May 2024

This paper presents an overview of integrating new research outcomes into the development of a structural health monitoring strategy for the floating cover at the Western Treatment Plant (WTP) in Melbourne, Australia. The size of this floating cover, which covers an area of approximately 470 m × 200 m, combined with the hazardous environment and its exposure to extreme weather conditions, only allows for monitoring techniques based on remote sensing. The floating cover is deformed by the accumulation of sewage matter beneath it. Our research has shown that the only reliable data for constructing a predictive model to support the structural health monitoring of this critical asset is obtained directly from the actual floating cover at the sewage treatment plant. Our recent research outcomes lead us towards conceptualising an advanced engineering analysis tool designed to support the future creation of a digital twin for the floating cover at the WTP. Foundational work demonstrates the effectiveness of an unmanned aerial vehicle (UAV)-based photogrammetry methodology in generating a digital elevation model of the large floating cover. A substantial set of data has been acquired through regular UAV flights, presenting opportunities to leverage this information for a deeper understanding of the interactions between operational conditions and the structural response of the floating cover. This paper discusses the current findings and their implications, clarifying how these outcomes contribute to the ongoing development of an advanced digital twin for the floating cover.
Correction: Gligoric et al. IOTA-Based Distributed Ledger in the Mining Industry: Efficiency, Sustainability and Transparency. Sensors 2024, 24, 923
Authors: Gligoric Nenad , Escuín David , Polo Lorena , Amditis Angelos , Georgakopoulos Tasos , Fraile Alberto
Published: May 2024

In the original publication [...]
An Overview of Millimeter-Wave Radar Modeling Methods for Autonomous Driving Simulation Applications
Authors: Huang Kaibo , Ding Juan , Deng Weiwen
Published: May 2024

Autonomous driving technology is considered the trend of future transportation. Millimeter-wave radar, with its ability for long-distance detection and all-weather operation, is a key sensor for autonomous driving. The development of various technologies in autonomous driving relies on extensive simulation testing, wherein simulating the output of real radar through radar models plays a crucial role. Currently, there are numerous distinctive radar modeling methods. To facilitate the better application and development of radar modeling methods, this study first analyzes the mechanism of radar detection and the interference factors it faces, to clarify the content of modeling and the key factors influencing modeling quality. Then, based on the actual application requirements, key indicators for measuring radar model performance are proposed. Furthermore, a comprehensive introduction is provided to various radar modeling techniques, along with the principles and relevant research progress. The advantages and disadvantages of these modeling methods are evaluated to determine their characteristics. Lastly, considering the development trends of autonomous driving technology, the future direction of radar modeling techniques is analyzed. Through the above content, this paper provides useful references and assistance for the development and application of radar modeling methods.
A Biotic Strategy for Enhanced Hexavalent Chromium Removal by Zero-Valent Iron under the Interference of Humic Acid
Authors: Li Mingxi , Yang Yuhang , Li Weiquan , Deng Zhiyi , Wu Jinhua
Published: May 2024

Zero-valent iron (Fe0) has been extensively used in hexavalent chromium (Cr(VI)) removal from groundwater, but its treatment suffers from interference of humic acid (HA) and ferrochrome precipitate. In this study, a biotic Fe0 system was established to address these problems in Cr(VI) removal from HA-rich groundwater by introducing a combination of heterotrophic and hydrogen-autotrophic microorganisms. Due to the formation of HA-Fe complexes and ferrochrome precipitates on the Fe0 surface, the HA-abiotic Fe0 system obtained a slight Cr(VI) removal of 10.5%. While in the HA-biotic Fe0 system, heterotrophic microbes could effectively eliminate HA through biodegradation and decrease HA-Fe complex generation; autotrophic microbes used H2 from iron corrosion as electron donors for their metabolism and promoted iron corrosion and active secondary mineral generation (e.g., magnetite and green rust) for Cr(VI) adsorption and reduction. Therefore, a much higher Cr(VI) removal of 84.9% was achieved. Additionally, increasing HA content and extra electron acceptors (e.g., sulfate and nitrate) both boosted Cr(VI) removal, further proving the role of heterotrophic microbes in biodegrading HA for enhanced Cr(VI) elimination. This work presented a feasible strategy to achieve efficient Cr(VI) removal with Fe0 by diminishing HA interference and ferrochrome precipitate passivation through the synergistic effect of heterotrophic and hydrogen-autotrophic microorganisms.
Privacy and Personal Information Protection by Social Media Companies in an AI era
Authors: Watney Murdoch
Published: May 2024

Social media platforms have become vast and powerful tools for connecting, communicating, sharing content, conducting business, and disseminating news and information. The history and evolution of social media illustrates not only the digital society’s ever-growing dependence on social media, but also the downside to this reliance, namely the challenges of protecting a social media user’s privacy and personal information. As technological advancement such as artificial intelligence (AI) grow and impacts on the way data, not only personal but also product and service data, is collected, the spotlight is increasingly focusing on the difficulties in privacy and data protection in an AI-era. The discussion focusses on the misconduct by social media companies in respect of privacy and personal information and the lessons learnt from the way in which social media companies have dealt with social media users’ information. Since self-regulation by a social media company does not provide adequate safeguards that privacy and personal information will be protected, limitations to the collection, use, access, and storage of personal information must be imposed by means of legislation. To ensure compliance, non-compliance must be linked to a penalty and enforced by a government. Privacy and data protection regulations were formulated in a pre-AI era, and at that stage, the implications of the rapid evolution of AI on privacy and data protection were not foreseen. To ensure digital trust in an AI era, the legal consequences of misconduct of social media companies must be explored. Social media users must have control of their own data and social media companies must be clear about the kind of data a company will collect on its users, and for what purposes. The lessons learnt from past misconduct is also indicative of whether personal data protection legislation is flexible enough to provide for AI or whether specific legislation must be implemented as society enters the AI era. As the Fourth Industrial Revolution takes shape and AI gains prominence, the data legal landscape is evolving with compliance and enforcement being key to protecting privacy and data, addressing legal uncertainty, and ensuring trust.
Hoaxes in Social Media: Can Game-Based Learning Beat Them?
Authors: Pomichal Vajk
Published: May 2024

In the digital era, people, especially younger generations, are increasingly turning to social media as their primary news source. Reports show a significant increase in the use of online social media networks and an increasing amount of false information spreading on these platforms. False information can have severe consequences, as seen in the recent US presidential elections, the Brexit vote, and the COVID-19 pandemic response. False news can lead to radicalization, fear, and anti-social behavior both online and in real life. Addressing false information involves more than just labeling or filtering it on social media platforms. Cognitive biases like confirmation bias or the echo chamber effect can lead to distrust of such labels. The most effective solution is prevention through education, emphasizing critical thinking skills. It is therefore important to encourage students to think critically to be as resistant as possible to the influence of hoaxes. Given that frontal education does not appear to be an effective approach to developing critical thinking, other alternatives need to be sought. Game-based learning is gaining prominence as an effective educational approach. It offers advantages like increased student motivation, a secure environment for experimentation, and the development of crucial skills, including critical thinking. Several meta-analyses showed that games can improve critical thinking, but the effect depends on factors like game genre, mechanics, instructional approaches, learner demographics, and cultural nuances. Our work is dedicated to the qualitative analysis of games enhancing critical thinking, especially in the context of building immunity towards online false information. Our primary aim is to thoroughly examine these games and their game mechanics and comprehensively assess their advantages and disadvantages within the formal educational context. We systematically playtested selected games based on criteria related to usability in classrooms. We found, that most of these games are strongly story based, typically putting the player in the role of a hoax-monger or alternatively in the role of a fact-checker. The games offer easily understandable game mechanics to support fast onboarding, and therefore offer an effective educational tool to discuss and learn more about the risks of increasing amounts of false information in online space.
Exploring Content Moderation Research: Insights from a Bibliometric Analysis
Authors: Ozan Ozlem , Sadıkzade Ali Rıza
Published: May 2024

Rapid technological advances have intensified user-content interactions, leading to real-world consequences and the implementation of complex regulation mechanisms such as AI filtering and industrial and user moderation. This study aims to introduce the contemporary topics surrounding the subject by comprehensively examining the content moderation research by conducting a bibliometric analysis of 202 publications between 2016 and 2023 from the Web of Science and Scopus databases. This study aims to identify the influential authors, universities, countries, journals, funding agencies, network maps of keywords, and co-authorship. The findings of this study demonstrate that the Queensland University of Technology is the most influential in the field. The United States of America, England, and Australia are the most productive countries. The National Science Foundation and the European Research Council are the most supporting funding institutions. New Media & Society, Social Media + Society, and Big Data & Society are the most influential journals. Ysabel Gerrard is the most productive author. Seven clusters occur in author collaboration networks. The network map of the keywords suggests that researchers mainly focus on social media; Facebook, Instagram, YouTube, and Twitter are the most investigated platforms. There is a shift from transparency to hate speech and misinformation among the research themes. The academic research has exhibited a consistent upward trajectory since 2016. Given the demonstrable momentum of interest in this field, it is reasonable to anticipate a further increase in research with a diverse array of academic disciplines.
Professional Versus Personal Identities of Young Health Communicators: The Social Media Connection
Authors: El Mghari Souad , Tennfjord Merete Kolberg , Eg Ragnhild
Published: May 2024

The proliferation of social media in the 21st century has redefined health communication, facilitating a participatory culture where individuals play a pivotal role in shaping health-related behaviors. Social networking sites have also become platforms for individuals to express their identity through self-perception and expression. This project thus investigates the relationship between social media and preventive health experts’ professional and personal identities. The study will pay particular attention to exploring how health experts and communicators balance their sense of self in their online interactions. Therefore, this project aims to unravel the ambiguity of health communicators’ online roles, making social media a safer space for them and their audiences. These individuals carry the responsibility of preserving the health and safety of others, founded in their promotion of health advice, professional guidance, and personal lifestyle demonstrations. The study targets students and experts in nutrition, mental health, and fitness and exercise based in Norway. The scope of the project is restricted to Instagram due to the platform’s visual and adaptive affordances for self-expression. The research project is thus divided into three studies: The first study will apply the survey method to explore how content consumed by health students from selected universities and colleges in Norway may impact the formation of their professional identity. The second study will use interviews and content analysis to investigate the impact of the content posted and consumed by a select number of preventive health students in forming their ideal professional and personal identities. These students should be active on Instagram and have garnered over 1000 followers. Lastly, the third study will rely on a combination of interviews and content analysis to research online strategies applied by nutrition, mental health, and exercise and fitness experts to express their professional and personal identities. These individuals will be required to have over 4000 followers on Instagram.
Research on the Influence of Video Content Features on User Behaviour
Authors: Pu Zhiqi
Published: May 2024

Research on user engagement behaviours within User-Generated Content (UGC) video platforms is notably scarce, despite previous studies predominantly focusing on user-level information. This study contends that enriched video information holds significant value. Its objective is to provide a profound understanding of the influence mechanisms of video content features on user engagement behaviours within UGC video platforms. Combining exploratory and quantitative methodologies, the research introduces a highly detailed framework for video content features, covering both cognitive and emotional dimensions. The framework encompasses content richness at the video level and emotional features at the user level. Addressing user behaviours, the study encompasses liking, sharing, saving, and tipping, representing users' varied contributions to the platform. The triggers for user behaviours often originate from diverse motivational intentions. The research focuses on a dual perspective, blending user and video viewpoints when examining video content features. Utilizing linear regression equations grounded in social identity theory and emotional support theory, the study explains the role of video content features in triggering user engagement behaviours. Age and gender serve as moderator variables, exploring behavioural disparities between male and female users and across different age groups. Findings indicate that factors triggering user likes and shares primarily stem from the level of interaction in the comment section, while tipping contributions and video saves are influenced by emotional support during viewing. The study also reveals that sadness enhances user participation intentions, while positive emotions in video characters or commenters diminish user engagement intentions. Lastly, the research adopts web crawling through legally accessible interfaces as the primary data collection method, encompassing 435 videos from 25 food category video authors.
From Pixels to Personalities: Identity Formation in Virtual Communities through Multimodal Communication
Authors: Deshmukh Ajita
Published: May 2024

Communities of Practice (CoPs) are an important thread in the social fabric of knowledge sharing (Wenger, 2004). Members of CoPs who share a common passion and interact regularly in a bid to improve their discipline and expertise contribute thus to the cohort of knowledge and practice. Recently, due to the transformation of technology this interaction is no longer limited to the physical world but more than often it takes place using communication channels thus breaking the boundaries of time and space. This has led to the rise of the term Virtual Communities of Practice (VCoPs). It is recognised by previous research that it is the informal communication that helps in building and sustenance of a CoP which is more so in the VCoP albeit the hurdles. The members of CoP negotiate their identities on the basis of the communication and move from peripheral membership to the core of the CoP. Similar movement and interactions are also found in VCoP. Multimodal communication forms an integral part of communication. This paper explores the usage of multimodal communication especially emojis, GIFs along with photographs in the formation and negotiation of identities of the members of the VCoP. This study uses discourse analysis to analyse the year-long communication within two VCoPs composed of academicians across India. The findings of the study indicate that use of such multimodal elements of communication contribute towards development of trust needed for knowledge sharing and sustenance of a VCoP and perception of identities within the VCoP.
Sensory Evaluation and Cost Analysis of Products Made from Locally Available Vegetable Tindora (Ivy Gourd)
Authors: Prasad S M , Nashrin Nihara S , Noorul Rahmani K M , Rahumath Shini S , Sumaya A S
Published: May 2024

This abstract explores the potential benefits of value-added products made from ivy gourd (Coccinia grandis). Ivy gourd, a tropical vegetable, possesses nutritional and medicinal attributes. The study explains about Ivy gourd powder incorporated diversified food products like pancake, boba and paneer. This ivy gourd powder extract is rich in antioxidants. Evaluation of sensory attributes and cost analysis will contribute to understand the viability of these products in promoting health and culinary diversity. This research aims to enhance the utilization of locally available ivy gourd, offering sustainable alternatives food to school going children.
PELATIHAN PEMBUATAN SUPLEMEN HERBAL IMMUNOMODULATOR PADA SANTRI PUTRI PONDOK PESANTREN SALAFIYAH SYAFI’IYAH SUKOREJO
Authors: Sari Dewi Ratih Tirto , Ulfa Ana Maria , Eliyawati Eliyawati , Sarifah Lailatus , Arofah Siti Dina Mega , Pahirah Pahirah , Fitraya Riyatul , Aini Fadilatul
Published: May 2024

Acute respiratory infection is a health problematic in Islamic boarding school. Lack of student awareness in maintaining health causes an increase in acute respiratory infections. This community service aims to increase the knowledge, skills and awareness of students in improving immunity and preventing acute respiratory infection. The method used is participatory action research (PAR), which is divided into four stages, namely focus group discussions, education, making herbal supplements, and evaluation. Focus group discussion was participated by some element, including coordinator of santri husada, santri husada, basic health service and students. Education was presented as lectures, discussion and consultation about immunity elevation. Education was conducted in several days for student in A1, A2, B, and M’hadul Quran dormitory to encourage more students. The next step was training to make herbal supplement, which attended by 42 students. The Forty-two student were divided into six groups to make herbal drink and instant supplement drink. Based on training evaluation, the education and training increased the knowledge and skill of participants. In summary, this activity increase health immune knowledge and supplement making of students.
Potensi Efek Samping dan Toksisitas Senyawa Vincristine dari Tapak Dara (Catharanthus roseus L.)
Authors: Faisal Akhmal Muslikh  , Fendy Prasetyawan
Published: May 2024

Tapak dara (Catharanthus roseus) is a complex and diverse plant species consisting of various varieties. Traditionally, this plant has been utilized for the treatment of malaria, constipation, diuretic, diabetes mellitus, and hypertension. The pharmacological activities are attributed to the presence of the dominant compound vincristine found in the leaves. There is limited data regarding the side effects and toxic effects of this compound, hence this research aims to provide updated information on the potential side effects and toxic effects of vincristine, which is the dominant compound in C. roseus. This research method utilizes the Way2Drug webtool (https://www.way2drug.com/passonline/predict.php), with the vincristine compound SMILES obtained from PubChem (https://pubchem.ncbi.nlm.nih.gov/). The research results indicate that vincristine has a very high potential for teratogenic activity based on the Pa value (probability "to be active") of 0.944. Therefore, it can be concluded that vincristine has significant potential for teratogenic side effects and toxic effects.
AbstrakTapak dara (Catharanthus roseus) merupakan spesies tanaman yang kompleks dan bervariasi, terdiri dari berbagai varietas. Secara tradisional, tanaman ini telah dimanfaatkan untuk pengobatan malaria, sembelit, diuretik, diabetes mellitus, dan hipertensi. Aktivitas farmakologi ini dikarenakan adanya senyawa dominan vincristine yang terkandung dalam daun. Belum banyak data mengenai efek samping dan efek toksik dari senyawa tersebut, sehingga penelitian ini bertujuan untuk menyajikan informasi terbaru tentang potensi efek samping dan efek toksik dari vincristine yang menjadi senyawa dominan dalam C. roseus. Metode penelitian ini menggunakan webtool Way2Drug (https://www.way2drug.com/passonline/predict.php), dengan SMILES senyawa vincristin yang diperoleh dari PubChem (https://pubchem.ncbi.nlm.nih.gov/). Hasil penelitian menunjukkan bahwa vincristin memiliki potensi yang sangat tinggi terhadap aktivitas teratogen berdasarkan nilai Pa (probability "to be active") sebesar 0,944. Dengan demikian, dapat disimpulkan bahwa vincristin memiliki potensi yang besar dalam efek samping dan efek toksik teratogen.
Fighting for Gender Equality
Authors: Editors Intersections
Published: May 2024

A summary of two films on the struggles of Indonesian women.
TERAPI DISTRAKSI BERMAIN PUZZLE UNTUK MENURUNKAN ANSIETAS PADA ANAK USIA 3-6 TAHUN YANG MENGALAMI HOSPITALISASI
Authors: Dinita Rusmandani Bella , Fatma Tiara , Ts.Fitriyah Erna
Published: May 2024

Pendahuluan:Hospitalisasi merupakan proses yang diharuskan seorang anak untuk menginap di klinik medis untuk perawatan dan pengobatan sampai dia sembuh sehingga mengakibatkan anak menjadi ketakutan, gelisah dan cemas. Tujuan penelitian ini untuk mengetahui terapi distraksi bermain puzzle untuk menurukan ansietas pada anak usia 3-6 tahun yang mengalami Hospitalisasi di Ruang Srikandi RSUD Jombang. Metode:Jenis penelitian karya ilmiah ini adalah pendekatan deskriptif dengan pendekatan studi kasus. subjek yang digunakan 2 klien dengan masalah keperawatan Ansietas. Penelitian ini dilakukan di Ruang Srikandi RSUD Jombang dengan memberikan intervensi terapi distraksi bermain puzzle selama 3 hari, menggunakan pengumpulan data yang meliputi pengkajian menentukan diagnosa, membuat intervensi, melakukan implementasi, dan melakukan evaluasi. Hasil:Terapi distraksi bermain puzzle dapat menurunkan ansietas pada anak yang mengalami hospitalisasi dengan tingkatan ansietas dari skor 3 yang menggambarkan adanya kecemasan menjadi skor 0 yang menggambarkan tidak ada ansietas sama sekali.Kesimpulan: dari penelitian ini adalah terapi distraksi bermain puzzle dapat dijadikan terapi pada anak yang mengalami hospitalisasi dengan masalah keperawatan ansietas sehingga anak terhindar dari ketakutan
Rancang Bangun Alat Pembengkok Pipa (Pipe Bending Tools) Untuk Produk Project Base Learning Meja dan Kursi
Authors: Mochammad Karim Al Amin  , Anggara Dika , Ruddianto Ruddianto , Restu Widodo Eriek Wahyu , Amrullah Haidar Natsir , Rachman Arif , Aprilian Elham
Published: May 2024

Project Base Learning merupakan metode pembelajaran yang dalam proses pembelajarannya membuat sebuah produk atau layanan jasa sebagai bahan dalam penguasaan kompetensi. Metode pembelajaran ini sudah dilaksanakan hampir diseluruh jenjang pendidikan, terutama pada Perguruan Tinggi Vokasi. Karena dalam Pendidikan Vokasi diperlukan kompetensi atau skill bagi lulusannya agar siap terjun di Industri setelah lulus. Dalam menunjang Project Base Learningdi PPNS, maka dilakukan Rancang Bangun untuk Alat Pembengkok Pipa. Alat ini nanti akan digunakan untuk proses pembengkokkan bagian-bagian dari kursi dan meja yang merupakan output dari Project Base Learning pada mahasiswa semester awal. Perancangan alat pembengkok pipa (pipe bending tools) direncanakan dengan menggunakan tenaga manual dengan fokus pada kemudahan alat untuk dibongkar pasang serta pengerjaan pembengkokan pipa yang diletakkan pada jalur di alat kemudian ditekan dengan roda pemutar atau roller yang bertujuan untuk mendapatkan radius pipa yang diinginkan. Dasar alat roll menggunakan pelat dengan bentuk setengah lingkaran yang dilakukan proses permesinan bubut untuk jalur pipa dan juga roda pemutar yang dihubungkan dengan pegangan dan housing sebagai tempat untuk memberikan tenaga manual. Ukuran roda pemutar terdapat dua variasi yaitu pipa dengan ukuran diameter luar 22 mm dan 25 mm. Hal ini bertujuan untuk memudahkan proses pembengkokan pipa dengan tenaga manual. Dari desain dan alat yang telah dibuat kemudian dilakukan percobaan, hasil percobaan alat tersebut mampu membengkokan pipa sesuai dengan standard atau ukuran yang telah ditentukan dengan bentuk yang presisi, serta hasil percobaan tersebut telah dibuat sebuah produk meja dan kursi yang juga menjadi luaran dari Project Base Learning.
Hubungan Beban Kerja Mental, Stres Kerja, dan Motivasi Terhadap Tingkat Konsentrasi Operator Crane Perusahaan Galangan Kapal
Authors: Pramesti Rieke Hardita , Santiasih Indri , Kusminah Imah Luluk , Bimo Pratomo Uranio Hario
Published: May 2024

Ship production activities at the Shipyard Company require lifting and transporting aircraft to facilitate work, one of which is a crane. Crane operators work monotonously at the wheel of the crane every day for 8 hours or even more. Concentration is needed in this job. Concentration is a state in which a person focuses his attention on an object within a certain time. Loss of concentration in the operator can lead to mismatches in work and the worst risk is the occurrence of work accidents. This study aims to determine the relationship between mental workload, work stress, and motivation with the level of concentration in crane operators. The population of this study were 35 crane operators. Sampling using total sampling technique with the entire population sampled. Measurements used the NASA-TLX questionnaire to measure mental workload, Stress Diagnosis Survey to measure work stress levels, motivation questionnaire and Grid Concentration Test to measure concentration levels. Data analysis using the chi square test, with the results showing that the independent variables that have a significance value <0.05 are mental workload with a value of 0.009 and work stress with a value of 0.044. While the motivation variable has a significance value of 0.391. The conclusion obtained is that the variables associated with the level of concentration are mental workload and work stress, while the motivation variable has no relationship with the level of concentration.
From Deterrence to Strategic Morality: A Proposed Paradigm Revolution Addressing the Reintroduction of Aggressive War into the Strategic Environment
Authors: Coaty Patrick C.
Published: May 2024

This article argues that the strategic community has failed to perceive and identify the failure of the deterrence paradigm as illustrated by the Russian invasion of Ukraine and the Israeli-Hamas war. The article uses philosophy of science literature and historical documents to identify the characteristics of a paradigmatic revolution and explain how the deterrence paradigm was formed and now has failed. It then proposes a new paradigm grounded in the strategic theory of the American military theorist John R. Boyd to replace the materialism of rationality for the strategic decision criterion of strategic morality. This original approach would equip the U.S. military and public with a victory-focused strategic grammar, potentially making the U.S. military more effective in its long-term strategic response to the reintroduction of aggressive war into the strategic environment.
Budd Chiari Syndrome Revealed by Spinal Cord Compression
Authors: Haida Marj-Zohour , Hadadia, Walid , Nacir Oussama , Lairani Fatima Ezzahra , Errami Adil Ait , Oubaha Sofia , Samlani Zouhour , Krati Khadija
Published: May 2024

Budd-Chiari syndrome results from obstruction of hepatic venous drainage, from the hepatic venules to the terminal part of the inferior vena cava, whatever the cause of the obstruction. It may be of primary or secondary origin. In our case, we report a case of Budd-Chiari syndrome with thrombosis of the terminal part of the inferior vena cava extending to the right suprahepatic vein, revealed by an unusual picture of functional impotence of all 4 limbs due to spinal cord compression caused by collateral venous circulation. Etiological assessment for budd chiari syndrome revealed a protein C deficiency, for which the patient was put on lifelong anticoagulation.
ANALISIS NILAI PENDIDIKAN ISLAM DAN MOTIVASI PENDIDIKAN DALAM NOVEL GURU AINI KARYA ANDREA HIRATA
Authors: Apriliana Nila , Nur Ma’rifati Rr. Kusuma Dwi
Published: May 2024

Penelitian ini menjelaskan tentang nilai pendidikan Islam dan motivasi pendidikan dalam novel Guru Aini karya Andrea Hirata. Teori-teori yang digunakan antara lain teori tentang nilai-nilai pendidikan Islam dan motivasi pendidikan Penelitian ini menggunakan metode analisis isi, atau biasa disebut analisis teks. Analisis teks digunakan untuk mengumpulkan muatan sebuah teks berupa katakata, gagasan, tema dan segala bentuk pesan yang dapat dikomunikasikan. Selanjutnya, jenis penelitian ini adalah kepustakaan (Library research). Sumber data yang digunakan dalam penelitian ini terdiri dari sumber primer, sekunder, dan tersier. Sumber primer adalah novel Guru Aini karya Andrea Hirata, sumber sekunder adalahb semua buku yang berkaitan dengan judul penelitian ini, dan sumber tersier adalah dokumen-dokumen yang dapat menjelaskan tentang dokumen primer dan sekunder, seperti kamus, ensiklopedi, dll.Dari hasil penelitian dapat disimpulkan bahwa, nilai-nilai pendidikan Islam yang terkandung dalam novel Guru Aini karya Andrea Hirata adalah: Nilai Istikamah, ikhtiar, tawakal, jujur, ikhlas, sabar, dan kepedulian. Nilai motivasi pendidikan yang terkandung dalam novel Guru Aini karya Andrea Hirata diambil dari dua tokoh utama yakni: Desi Istiqomah dan Aini. Desi, guru matematika yang idealis, unik, kharismatik, fenomenal, cantik, cerdas tiada banding, tegas dan menjunjung tinggikejujuran. Dan Aini, cita-cita dokter, tokoh yang giat, pekerja keras, disiplin, dan penuh tanggungjawab.