bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Social Intelligence in Business Executives Through Yoga: The Mediating Role of Mindfulness
Authors: SMITH BRIAN
Published: October 2024

This article explores the potential of yoga to enhance social intelligence in business executives, with mindfulness as a mediating factor. Utilising a randomised controlled experiment design, 247 executives undertaking professional development programmes were allocated to intervention and control groups. The intervention comprised a 10-week yoga regimen including asanas, pranayama, and meditation. “Tromsø Social Intelligence Scale” was used to measure Social intelligence, whilst mindfulness was assessed via the Mindful Attention Awareness Scale. Results indicate that yoga practice positively influences social intelligence both directly and indirectly through increased mindfulness. The partial mediation observed suggests that whilst mindfulness is a crucial mechanism, it is not the sole pathway through which yoga enhances social intelligence. These findings contribute to the nascent field of contemplative practices in professional development by empirically demonstrating yoga's efficacy in cultivating social intelligence. The study underscores the potential of integrating ancient contemplative practices into contemporary business management, offering a novel approach to developing crucial competencies for navigating complex stakeholder relationships and societal challenges.
The Influence of Realism on the Sense of Presence in Virtual Reality: Neurophysiological Insights Using EEG
Authors: Safikhani Saeed , Gattringer Vinzenz , Schmied Michael , Wriessnegger Selina Christin , Pirker Johanna
Published: October 2024

One of the most crucial aspects of the user experience in virtual reality (VR) is the sense of presence. To evaluate this, both subjective and objective methods can be employed. While subjective methods are easy to implement and interpret, they may not fully capture user feedback, and the results can sometimes lack consistency. In contrast, using objective methods, such as electroencephalography (EEG), can provide more reliable insights. To investigate the influence of realism on the sense of presence, we conducted an EEG study with 21 participants who experienced two VR environments—one realistic and one non-realistic. During the study, we continuously measured their brain activity using an EEG device. Our findings showed that alteration in the level of realism in an environment can be detected through changes in brain activity. Notably, we observed that users take longer to adapt to a non-realistic environment when transitioning from a realistic scene, compared to the reverse. Although our study has limitations, such as the total number of participants, we gained valuable initial insights into how realism may influence brain activity. These findings suggest that higher realism may lead to reduced cognitive load, increased attention, improved decision-making, and suppression of irrelevant information.
Effects of Sarcosine (N-Methylglycine) on NMDA Receptor Hypofunction Induced by MK801: In Vivo Calcium Imaging in the CA1 Region of the Dorsal Hippocampus
Authors: Hsiao Yi-Tse , Chang Ching-Yuan , Lee Ting-Yen , Liao Wan-Ting , Lai Wen-Sung , Chang Fang-Chia
Published: October 2024

Hypofunction of the glutamate system in the brain is one of the pathophysiological hypotheses for schizophrenia. Accumulating animal and clinical studies show that sarcosine (N-methylglycine), a glycine transporter-1 inhibitor, is effective for ameliorating the negative and cognitive symptoms of schizophrenia. The aims of the present study were to observe the effects of sarcosine on neuronal activity in the dorsal CA1 (dCA1) hippocampal neurons within an NMDA receptor hypofunction model induced by MK801. We applied in vivo calcium imaging to observe the dynamics of fluorescence from the dCA1 hippocampal neurons when the mice were exploring in an open field. Using this tool, we directly measured and compared neuronal properties between sarcosine-treated and untreated mice. At the same time, the physiological function of the neurons was also quantified by measuring their place fields. Our data demonstrated that MK-801 (0.2 mg/kg) diminished the fluorescence intensity of dCA1 neurons that had been genetically modified with a calcium indicator. MK-801 also significantly increased the correlation coefficient between the fluorescence dynamics of pairs of cells, a feature that may be linked to the symptom of disorganization in human patients with schizophrenia. The spatial correlations of place fields in the mice were impaired by MK-801 as well. Injected sarcosine (500 mg or 1000 mg/kg) significantly alleviated the abovementioned abnormalities. Our data provide evidence to support the use of sarcosine to alleviate symptoms of schizophrenia, especially hippocampus-related functions.
Suicide History Scarcity in Alzheimer's Disease: Adequacy and Acceptability Study
Authors: RUBATINO RODRIGUES JULIANO FLAVIO , Peregrino Rodrigues Lívia , Atalia da Silva Kelly Cristina , Serna Rodríguez María Fernanda , Martins Rubatino Fernando Victor , Fischer Hannes , Karan Barbosa Pedro Marco , Marques Payão Spencer Luiz , Fernandes de Godoy Moacir , de Araújo Filho Gerardo Maria
Published: October 2024

Background: Suicidal behavior has been a dilemma in Alzheimer's disease. Many ethical debates have been raised about euthanasia in patients with neurodegenerative diseases, and there is a finding of increased suicide rates in the early stages of dementia. However, little is known about the history of suicide ideations or attempts in people with Alzheimer's disease. We aim to measure questionnaire adequacy and acceptability in this specific study to investigate the history of behaviors and factors associated with suicidal behavior across the lifespan in patients with Alzheimer's disease. Methods: This study is an excerpt from case-control research, where the sample was calculated at 150 participants, 75 for the case group and 75 for the control group. Here, the descriptive statistics of the first third of the case group sample, 25 participants, were made. Adequacy was observed by comprehension of questionnaires, and acceptability was measured by participants' understanding of the study object.Results: The prevalence of suicidal ideation throughout life was 8%, and 4% attempted suicide at some point in their lives. The total score of QLoS had a median of 71, which demonstrated the consideration of a moderate quality of life. The total score of the SAF-quest had a median of 12, which showed a low suicidal behavior history. All patients were included in understanding the questionnaires.Conclusions: This study demonstrated the adequacy, acceptability, and scarcity of suicidality histories throughout life in Alzheimer’s disease patients.
Deep Learning Models for Predicting Drone Sound Distances: Lightweight, Fusion and Hybridization Approaches
Authors: Utebayeva Dana , Ilipbayeva Lyazzat , Seidaliyeva Ulzhalgas , Yembergenova Assel , Matson Eric T.
Published: October 2024

In recent years, the widespread use of drones in daily life and large public events has raised serious safety concerns, especially due to incidents, both intentional and accidental. One of the most important aspects to prevent these risks is the ability to detect and accurately predict the distance of UAVs (Unmanned Aerial Vehicles) from people and restricted areas. One of the pressing issues is to develop systems to monitor their flights in restricted areas and predict suspicious movements in cases where suspicious drone flights are detected, which may be launched for video reconnaissance and information theft purposes. The advancement of acoustic-based recognition systems is growing with the development of deep learning. This study explores deep learning model architectures for the task of predicting UAV distances based on their flight sounds. The objective of this study is to determine whether sound-based classification can effectively predict drone movements at different distances from acoustic sensor points as they move from one area to another. Our experimental tests tried to predict the movement of UAVs based on the classification into 3 main zones. The results showed that drone sounds could be reliably detected in the movements between zones with an average recognition accuracy of 90 % using the hybrid CNN-BiLSTM model. Moreover, the implementation of such advanced acoustic sensor systems for UAV detection can improve the accuracy of real-time prediction, especially when integrated into a multimodal system with multi-sensor fusion methods.
Energy Market Price Forecasting and Financial Technology Risk Management Based on Generative AI
Authors: Xu Qianyu , Wang Tangtang , Cai Xiaowei
Published: October 2024

The volatility of global energy markets, particularly electricity prices, plays a crucial role in influencing international economic activities. With the ongoing global energy transition and the push for low-carbon development, predicting electricity prices has become increasingly important for policymakers and market participants. This paper explores the forecasting capabilities of the ARIMA and LSTM models in analyzing electricity prices in the United States, drawing from data spanning 2001 to 2024.ARIMA, a traditional time series model, is valued for its simplicity and effectiveness in capturing linear trends, while LSTM, a deep learning-based model, excels at handling long-term dependencies in complex datasets. This study reveals that while both models offer valuable insights, each exhibits limitations. ARIMA struggles with non-linear patterns and volatility, whereas LSTM tends to underestimate extreme price values. The findings highlight the potential of hybrid models that combine traditional and machine learning approaches to enhance forecasting accuracy in the increasingly dynamic energy market. This research provides essential guidance for improving decision-making processes in the context of the global shift towards clean energy.
Screening and Validation of Stable Reference Genes for qRT-PCR Analysis in Epicauta gorhami (Coleoptera: Meloidae)
Authors: Yang Guofeng , Yu Xuetao , Zhang Yan , Luo Jinhua , Li Xiaofei , Zhu Li , Zhang Huanhuan , Jin Lin , Wu Gang , Yan Xiaohong , Shen Chenhui
Published: October 2024

Epicauta gorhami is a hypermetamorphic insect that mainly forage soybeans during the adult stage. However, the lack of appropriate references hinders our studying of the gene function in E. gorhami. In this study, refer to five computational tools (Ct value, geNorm, NormFinder, BestKeeper and RefFinder), the stability of 10 housekeeping genes (GAPDH, ACT, RPL4, RPL27, α-TUB, RPS18, EF1α, RPS28, RPL13 and SOD) was assessed by RT-qPCR under three different conditions (adult ages, tissues/organs and temperatures). The findings suggested that SOD and RPS18 were the most ideal references for examine gene transcripts among diverse adult ages and at various temperatures; A pair of RPS18 and RPS28 was the most reliable genes to assess gene expressions in diverse adult tissues. Finally, The relative expression levels of EgUAP were computed after normalization RPS18 and RPS28 with across diverse adult tissues. As expected, EgUAP expression was abundant in the foregut, trachea and antenna, and low in the midgut, hindgut and epidermis. These findings will lay a solid foundation for analysing the gene expression of E. gorhami.
Weizmannia coagulans BC99 Improves Strength Performance by Enhancing Protein Digestion and Regulating Skeletal Muscle Quality in College Students of Physical Education Major
Authors: Cao Li , Guo Minghan , Zhou Yiqing , Zhang Jie , Tie Shanshan , Li Xuan , Tian Pingping , Wu Ying , Gu Shaobin
Published: October 2024

The dietary proteins are one of the most important factors determining health conditions in human. The sufficient digestion and absorption of dietary proteins in the digestive tract have positive effects on performance and recovery in sportspeople or athletes. Improving of protein digestibility is a strategy for maintaining health status and optimal performance in sport or exercise activities. The hypothesis of the present study is that Weizmannia coagulans BC 99 (BC99) can increase muscle mass and strength. This randomized double-blind, controlled trial assigned 72 male college students to receive probiotics (n = 36, 20.25±1.03 years; 1.79±5.94 cm; 73.55±8.73 kg, protein powder with BC99) or placebo (n = 36, 20.19±0.79 years; 179.25±5.16 cm; 73.61±8.24 kg, protein powder) for 12-week. At the baseline and final stages of the study, strength tests and body composition assessment were performed; Blood and stool samples were taken at the end of the 12-week intervention, digestive enzymatic activity of stool samples, biochemical parameters, amino acids and hormone level of plasma were analyzed. BC99 administration significantly improved strength performance, skeletal muscle mass, activity of pepsin and trypsin, the concentrations of branched chain amino acids and essential amino acids, reduced activities of creatine kinase and lactic dehydrogenase and urea nitrogen (BUN) level, and increased testosterone and glucagon-like peptide-1 level in male college students. Therefore, BC99 supplementation can be an important nutritional strategy to improve strength performance, body composition, protein digestion and body metabolism in various groups of individuals.
Evaluation of Eucalyptus Globulus for Mixed Tree Plantation with Some Indigenous and Exotic Tree Species in Central Ethiopia Highlands
Authors: Sibani Begashaw Mitiku , Beyene Fikiru Bafa , Worku Neway Ameha , Yaekob Getahun
Published: October 2024

Mono-crop plantation widely found in the world and dominated by few species such as Eucalyptus, Pinus and Tectona. While they lack diversified product, negative to environmental service and limited forest product for local use. The experiment was designed to evaluate the impact of mixed plantings on the early growth performance of the E. globulus tree species. The treatments included one monoculture of E. globulus and a combination of the plant with three other native and one foreign tree species. In four consecutive years after plantation, height, root collar diameter, DBH and leaf/branch count were measured. Following two years of out planting, the survival rates of seedlings were determined. Destructive sampling was applied to measure biomass of E. globulus. The growth performance of E. globulus in mixed plantations was compared to that of trees produced in pure plantations. The findings showed that there were no significant variations in growth parameters across the treatments. Following two years of out planting, the survival rates of seedlings were determined. The growth performance of E. globulus in mixed plantations was compared to that of trees produced in pure plantations. The findings showed that there were no significant variations in growth parameters across the treatments. The survival rate of E. globulus was good, ranging from 75 to 96.8%. Similarly, the growth performance of E. globulus's root collar diameter was larger even if the trial did not reveal a significant difference between the treatments for height. In comparison to other treatments, the one that included junipers and E. globulus had a higher mean height throughout the course of three years (1.28, 2.53, and 6.12 meters, respectively), as well as a lower RCD in the first and third years (1.3 and 5.34 cm). At year four, E. globulus attain higher in Height and DBH with high growth rate in mixed plantations compared to pure stands. The relative yield of E. globulus in pure stands compare to mixed stands greater than 1. Above and below ground biomass and carbon density of E, globulus is comparable in all treatment. Overall, the study's findings confirm that planting E. globulus improves its mingling with the examined tree species. Such studies ought to be conducted again over a longer time frame in order to examine the effects at a later stage and recommend technologies for broader implementation.
Segmentation of Low-Grade Brain Tumors Using Mutual Attention Multimodal MRI
Authors: Seshimo Hiroyuki , Rashed Essam A.
Published: October 2024

Early detection and precise characterization of brain tumors play a crucial role in improving patient outcomes and extending survival rates. Among neuroimaging modalities, magnetic resonance imaging (MRI) is the gold standard for brain tumor diagnostics due to its ability to produce high-contrast images across a variety of sequences, each highlighting distinct tissue characteristics. This study focuses on enabling multimodal MRI sequences to advance the automatic segmentation of low-grade astrocytomas, a challenging task due to their diffuse and irregular growth patterns. A novel mutual-attention deep learning framework is proposed, which integrates complementary information from multiple MRI sequences, including T2-weighted and fluid-attenuated inversion recovery (FLAIR) sequences, to enhance the segmentation accuracy. Unlike conventional segmentation models, which treat each modality independently or simply concatenate them, our model introduces mutual attention mechanisms. This allows the network to dynamically focus on salient features across modalities by jointly learning interdependencies between imaging sequences, leading to more precise boundary delineations even in regions with subtle tumor signals. The proposed method is validated using the UCSF-PDGM dataset, which consists of 35 astrocytoma cases, presenting a realistic and clinically challenging dataset. The results demonstrate that T2w/FLAIR modalities contribute most significantly to the segmentation performance. The mutual-attention model achieves an average Dice coefficient of 0.87, outperforming traditional approaches. This study provides an innovative pathway toward improving segmentation of low-grade tumors by enabling context-aware fusion across imaging sequences. Furthermore, the study showcases the clinical relevance of integrating AI with multimodal MRI, potentially improving non-invasive tumor characterization and guiding future research in radiological diagnostics.
Enhancing Demand-Side Management and Electricity Efficiency through Blockchain Technology
Authors: Boumaiza Ameni
Published: October 2024

Blockchain technology presents significant advancements in demand-side management (DSM) by facilitating decentralized, transparent, and secure transactions within energy systems. This study investigates a novel blockchain-based approach aimed at enhancing electricity efficiency through optimized DSM strategies. We propose an innovative framework that integrates blockchain technology with real-time data analytics to optimize energy consumption, encourage consumer participation, and promote efficient energy utilization. Our experimental analysis reveals that the integration of blockchain enhances DSM by achieving a 25% reduction in electricity costs for consumers, a 30% increase in demand response participation rate, and a 15% improvement in overall grid stability compared to traditional DSM approaches. These findings underscore the effectiveness of our proposed method, showcasing its originality and potential for future energy management solutions.
Sirtuin‐5 Is Recruited to Hepatic Peroxisomes in Mice Fed Dodecanedioic Acid but Has Little Impact on the Peroxisomal Succinylome
Authors: Zhang Yuxun , Zhang Bob B. , Bharathi Sivakama S. , Bons Joanna , Rose Jacob P. , Shah Samah , Dobrowolski Steven F. , Sims-Lucas Sunder , Schilling Birgit , Goetzman Eric S.
Published: October 2024

Lysine succinylation, and its reversal by sirtuin-5 (SIRT5), is known to modulate mitochondrial fatty acid β-oxidation (FAO). We recently showed that feeding mice dodecanedioic acid, a 12-carbon dicarboxylic acid (DC12) that can be chain-shortened four rounds to succinyl-CoA, drives high-level protein hypersuccinylation in the peroxisome, particularly on peroxisomal FAO enzymes. But the ability of SIRT5 to reverse DC12-induced peroxisomal succinylation, or to regulate peroxisomal FAO in this context, remained unexplored. Here, we showed that feeding DC12 strongly recruits SIRT5 into hepatic peroxisomes. Knocking out SIRT5 impaired peroxisomal FAO as evidenced by reduced 14C-DC12 flux in liver homogenates and elevated levels of partially shortened DC12 catabolites in urine. Further, mass spectrometry revealed a trend toward less peroxisomal protein succinylation in SIRT5 knockout liver. This is consistent with reduced flux of DC12 through the peroxisomal FAO pathway, thereby reducing production of the succinyl-CoA that chemically reacts with lysine residues to produce protein succinylation. Mass spectrometry comparisons of site-level succinylation in wildtype and SIRT5 knockout liver did not reveal any clear pattern of SIRT5 target sites in the peroxisome after DC12 feeding. However, SIRT5 co-immunoprecipitated with 15 peroxisomal proteins including the key peroxisomal FAO enzymes acyl-CoA oxidase-1 and enoyl-CoA/3-hydroxyacyl-CoA dehydrogenase (EHHADH). In vitro, recombinant SIRT5 partially desuccinylated chemically modified recombinant ACOX1a, ACOX1b, and EHHADH. Desuccinylation by SIRT5 had no effect on enzyme activity for ACOX1a and EHHADH. For ACOX1b, SIRT5-mediated desuccinylation decreased activity by ~15%. Possible interpretations of this data are discussed.
Synergistic Development Pathways: An Exploratory Study on the Urban-Rural Mutual Assistance Model and Low-Carbon Transformation of Henan's Power Supply Industry towards Dual-Carbon Goals
Authors: Xinfa Tang , Guozu Hao , Yonghua Wang , Youwei Wan , Jingjing Wang , Nubea Musa Dirane
Published: October 2024

In the midst of the push for dual-carbon goals, urban centers are faced with the imperative of reducing emissions and conserving energy, while rural regions are harnessing their abundant new energy resources to promote balanced urban-rural development. Photovoltaic (PV) power generation, known for its cleanliness, safety, and emission-free nature, is playing a crucial role in the evolution of Henan Province's power supply industry. This paper delves into the current state of Henan's power supply infrastructure, the trajectory of its low-carbon development, and the policies shaping the PV sector. It also examines the establishment of an urban-rural mutual aid model through the lens of alternative energy technologies. By utilizing a combination of case studies and systematic theoretical research, this paper uncovers the untapped economic potential of new energy sources in rural areas and presents strategies for synergistic development in alignment with dual-carbon goals within the power supply industry. The research underscores the significance of an urban-rural mutual assistance model in achieving carbon neutrality, addressing urban-rural development gaps, fostering shared prosperity, and contributing Chinese insights to global climate governance frameworks.
Curve of Centers of the Special Conic Section Pencil
Authors: Božić Dragun Ivana , Sliepčević Ana
Published: October 2024

In the papers [1–5] using synthetic methods and the facts from the conics theory in the
Euclidean, pseudo-Euclidean, quasi-hyperbolic and hyperbolic planes, we have studied and proved
numerous facts related to the cuspidal curves with emphasis on evolutes and Steiner’s deltoid. In
this paper, the intention is to see what can be said about the curve of centers in some special pencil of
conics and to show how, studying the center curves in the special pencil of conics a connection with
Steiner’s deltoid curve has been found.
Contribution of Environmental Factors in Predicting Bird Distribution for Habitat and Ecological Network planning：A Case Study in Beijing
Authors: Tan Lingqian , Huang Ruiqi , Hao Peiyao , Huang Zhipeng , Wang Yinglin
Published: October 2024

Urban biodiversity is crucial for ecological security, balance, and fostering residents' awareness of human-nature interconnectedness. Birds, as urban ecosystem indicators, reflect ecosystem services and are impacted by urban development. This study examined the distribution characteristics and environmental influences on representative bird species from typical ecological groups in Beijing, analyzing critical habitat locations and forecasting potential ecological corridors in light of urban planning. Distribution of six representative ecological groups of birds (song birds, terrestrial birds, climbing birds, aquatic birds, wading birds, raptor birds) in 2019 were constructed using kernel density analysis. The predicted potential distribution and contribution of environmental impact factors for six bird species (Falco tinnunculus, Ardea alba, Aix galericulata, Dendrocopos canicapillus, Streptopelia chinensis, Turdus mandarinus) were obtained using MaxEnt model. The potential ecological corridors were constructed by least-cost distance model. The results showed that: (1) Distribution density of bird groups was higher near water bodies and parks due to existing urban planning; (2) Blue-green corridors, including greenways and waterways, enhanced urban bird diversity; (3) Potential ecological corridors for six representative bird species primarily featured forested areas, with varied habitat type proportions tailored to each species' needs. Recommendations propose enhancing green-space connectivity and multi-habitat restoration for key species. This study underscores the need for refined urban planning strategies emphasizing diverse habitats and migration pathways, aiming to create sustainable living areas and ecological corridors. It also encourages utilizing platforms for birdwatching and public biological observation data to optimize urban biodiversity.
Exploring Alternative Models to Strengthen Capital Structures in Project Financing for Sustainability in Real Estate Development: A Developer’s Perspective
Authors: Park Jung Kyu , Lee Junbok , Ahn Young Mee , Yoo Gayoung
Published: October 2024

This study explores the application of multi-real option valuation integrated with Security Token Offerings (STO) as an innovative approach to real estate project financing, using the Aspen Resort development as a case study. Traditional Discounted Cash Flow (DCF) methods often fall short in capturing the dynamic nature of long-term real estate projects, particularly in adapting to market uncertainties and changes. This research addresses these limitations by employing a multi-real option model, which allows for flexibility in decision-making by evaluating various investment phases through the binomial lattice framework. The analysis demonstrates that the STO-based project financing (STO-PF) model, when applied to the Aspen Resort, provides superior financial outcomes and strategic advantages compared to conventional DCF methods. Key findings reveal that the STO-PF model enhances liquidity, democratizes investment access, and offers improved risk management through digital platforms. The results showcase how integrating STOs with real option models quantifies the project’s expanded net present value (ENPV), thereby optimizing investment decisions under volatile market conditions. This study not only contributes theoretically to the literature on STO financing but also provides practical implications for developers seeking flexible and innovative financing solutions in real estate. Future research should explore the applicability of STOs across diverse market conditions and regulatory environments, including the integration of emerging technologies such as AI and blockchain for enhanced financial modeling.
Effect of Distress, Anxiety, and Depressive Symptoms on SARS-CoV-2 mRNA BNT162b2 Vaccine Efficacy in Cancer Patients
Authors: Rondanina Gabriella , Buttiron Webber Tania , D'ecclesiis Oriana , Musso Marco , Briata Irene Maria , Provinciali Nicoletta , Boitano Monica , Clavarezza Matteo , D'amico Mauro , Defferrari Carlotta , Gozza Alberto , Innocenti Leonello , Carbone Alessio , Oliva Martino , Marcenaro Emanuela , Filauro Francesca , Gandini Sara , Decensi Andrea
Published: October 2024

In our previous study of 291 cancer patients, we showed that 20% did not respond to two doses of COVID-19 vaccine administered six weeks apart. Here we investigated if psychological factors (distress, anxiety and depressive symptoms) affected antibody response and markers of vaccine activation (D-dimer) after 6 months from initial vaccination. Overall, 31 subjects (14.2%) had no antibody response at 6 months. Our analysis revealed significant predictors of vaccine failure, including stage of metastatic disease and high stress levels (OR=2.46, 95% CI, 1.05-5.77, p=0.04). Notably, nonresponders showed twice the prevalence of distress than responders (21% vs. 10%, p=0.04). Longitudinal measurements of IgG levels indicated that participants with high depressive symptoms at baseline maintained lower antibody levels over six months (p=0.003). In addition, women with high anxiety showed reduced levels of D-dimer at 6 month time (p=0.03). The data also showed that smokers and former smokers had significantly lower antibody levels than their nonsmoking counterparts (p=0.0004). At baseline, the high discomfort rate (≥5) was 34.4% in women and 23.8% in men; only men experienced an increase in median discomfort during the observation period. Moreover, higher educational level was related to increased distress among women (p=0.046). These findings underscore a critical association between elevated psychological distress and reduced immune responses to the COVID-19 vaccine, emphasizing the urgent need for targeted psychological and behavioral support within this vulnerable population.
The Transformative Power of Innovationology
Authors: Moleka Pitshou
Published: October 2024

The present article provides a thorough examination of innovationology, a groundbreaking transdisciplinary field of study that is revolutionizing the concepts and methods associated with innovation, economic growth, and worldwide sustainable transformation. This work provides unparalleled insights into the transformative potential of innovationology, drawing on a comprehensive review of literature across diverse fields such as development economics, sustainability science, social entrepreneurship, transition studies, complexity theory, decolonial thought, and design thinking. In presenting innovationology as a force for systemic, multidimensional economic change, the paper explores the strong theoretical underpinnings, creative approaches, and elite case studies that highlight the groundbreaking science's extraordinary influence. Through a rigorous, evidence-based examination, the author provides policymakers, researchers, and practitioners with a comprehensive understanding of innovationology's capacity to redefine the principles and practices of wealth creation, inclusive growth, sustainable finance, and community-centric entrepreneurship. Anchored in real-world case studies from the Global North and South, the article demonstrates innovationology's potential to drive progress towards a more equitable, resilient, and prosperous global economy. By challenging dominant neoclassical paradigms and offering a decolonial, transdisciplinary framework for economic transformation, this work presents a groundbreaking pathway to a just, sustainable, and inclusive economic future.
Screen-printed Carbon Electrode from Coconut Shell Activated Carbon Modified with Ferrocene for Cobalt Detection
Authors: Farhan Muhammad , Heraldy Eddy , Masykur Abu , Munir Muhammad A. , Rahmawati Fitria
Published: October 2024

This research aims to fabricate a screen-printed carbon electrode (SPCE) from coconut shell charcoal. The charcoal was activated with NaOH to produce activated carbon (Ac). It was mixed with acetylene black (AB) and poly (vinylidene) Fluoride (PVDF) at the mass ratio of 7:2:1 for the Ac, AB, and PVDF, respectively, followed by a dispersing with N-Methyl-2-Pyrrolidinone (NMP) producing carbon slurry that was painted on a SPCE template. To increase electrochemical sensitivity, ferrocene, Fc was dropped onto the working electrode part at 10%, 20%, and 30% of the total SPCE mass. The results show that Ac is amorphous with a porous chip-like morphology containing 61.7% carbon. Ac shows vibrations of O–H, C=O, C=C, C–O, and Si–O with surface area and average pore size of 154.612 m2 g-1 and 1.42 nm, respectively. The cyclic voltammetry analysis found that 10% Fc on SPCE provides the highest current density compared to 20% and 30%. Meanwhile, the 2 mV s-1 scanning rate reveals a more defined anodic and cathodic peak than 3 mV s-1 and 5 mV s‑1. Furthermore, the SPCE with 10% Fc shows a good sensitivity to Co (II) ions, proven by a low detection limit (LoD) of 0.224 mmol L-1
Performance Improvement Polyvinylidene Fluoride (PVDF) Mordenite Membranes for Oil-in-Water Emulsion Separation
Authors: Dewi Brigitta Elga Kusuma , Pranoto Pranoto , Pramono Edi , Saputra Ozi Adi
Published: October 2024

Improving the performance of membranes appropriate for oil-in-water separation is a global challenge. In this study, we prepared a PVDF/Mordenite (PZM) membrane and determined its properties to separate oil-in-water emulsions to address this challenge. The PVDF and PZM membranes were fabricated using the phase inversion technique and applied to separate two types of oil-in-water emulsions 1:99 (wt%), including vegetable oil and used cooking oil emulsion. PVDF polymer with DMAc solvent was added to mordenite with a concentration variation of mordenite. The addition of mordenite did not affect the increase of the β fraction on the hybrid membrane surface but could improve the membrane hydrophilicity. The addition of mordenite in the PVDF membrane has improved the characteristics of the membrane, including water flux, rejection membrane >90%, and FRR up to two times greater than a pristine PVDF membrane. Morphological analysis of the membrane confirmed an asymmetric membrane composed of finger-like and sponge-like. Combining mordenite and PVDF membrane to separate oil-in-water emulsions provides a new approach to oil wastewater treatment.
Trace Detection of Pb(II) using Square Wave Anodic Stripping Voltammetry with Stainless Steel Electrodes
Authors: Harrista Sendika , Zamhari Muhammad , Aulia Adinda Fara , Faizah Safina Nur , Kangkamano Tawatchai
Published: October 2024

Lead (Pb(II)) is well known as a dangerous environmental contaminant that harms public health worldwide. Early Pb(II) detection before release into the water system is important. This work describes an inexpensive Pb(II) determination using 5 mm diameter stainless steel rod type 304 as a working electrode. Using a batch system, the research employed 10 mL of 0.1 M acetate buffer at pH 4.5. The best operation was at a deposition potential of -1.2V for 300 s. It provides a linear range in the concentration range of 0.075 – 1 µg/mL Pb(II) (r = 0.994). The limit of detection (LOD) and limit of quantification (LOQ) of Pb(II) were at 0.057 µg/mL and 0.189 µg/mL, respectively. Repeatability and reproducibility were expressed in the relative standard deviation range of 1.26-3.71% in the testing a Pb(II) concentration range of 0.2-1.0 µg/mL and 5.32% in testing a Pb(II) concentration of 0.4 µg/mL. A very low-cost stainless-steel electrode proposed a high operational stability up to 10 measurements with RSD of 4.39%.
Implementation of Strategic Planning in Vocational High Schools to Address the Challenges of the Industrial Revolution 4.0
Authors: Dwi Arum , Somosot Ian
Published: October 2024

Abstract:This study examines the implementation of strategic planning in Vocational High Schools (VHS). In facing the challenges of Industrial Revolution 4.0 the research focuses on 11 principals. Additionally, 22 teachers from VHSs in the Special Region of Yogyakarta (In Bahasa: Daerah Istimewa Yogyakarta/DIY) are involved. Utilizing quantitative methodology, results reveal intriguing patterns. School principals develop strategic plans and actively involve teachers. There is participation from parents and industry stakeholders. A significant emphasis is placed on the use of technology to enhance effectiveness. The efficiency of VHS management is also improved. Evidence shows the integration of digital technologies. Online learning platforms are noted in the schools' operations and educational processes. The study highlights the critical role of collaborative and tech-driven approaches. This prepares vocational schools to meet the demands of the evolving industrial landscape.
Analysis of the features of the operating conditions of modern gas turbine blades and review of methods for determining their high-temperature strength parameters
Authors: Nemanezhyn Yevhen
Published: October 2024

The subject of the study is modern methods and materials for the manufacture of gas turbine blades, as well as approaches and methods for assessing their dynamic and static strength under high-temperature loading. The first purpose of the article is to describe the main methods of manufacturing turbine blades, provide examples of the materials used and the features of their crystal structure. The second purpose of the article is to review approaches to ensuring the dynamic and static strength parameters of single-crystal turbine blades, in particular, to avoid dangerous resonance modes, to study the parameters of anisotropic creep, high-temperature fatigue life, and long-term strength. The goal of the article is to highlight the main advantages and disadvantages of existing methods, approaches and techniques for assessing and ensuring high-temperature strength parameters of turbine blades under static and dynamic loading, in order to select the objectives of further research. Methods used to create the publication: methods of analysis and comparison, which were used to search and compare open literature sources of information in accordance with the purpose of the article, as well as the method of deduction, which was used to identify the main shortcomings of existing methods for assessing the high-temperature strength of gas turbine blades under static and dynamic loading to outline the goals of further research. The following results have been obtained. Literature sources related to the methods of manufacturing turbine blades, namely, directional crystallization and single-crystal casting, were analyzed. The advantages of single-crystal alloys for the manufacture of turbine blades, namely increased heat strength, heat resistance, fatigue strength, durability and crack resistance, are emphasized. The main modern methods for assessing the high-temperature strength of gas turbine blades with regard to the anisotropic characteristics of single-crystal alloys are analyzed and described. Conclusions. This publication presents information about gas turbine blades, in particular, provides meaningful information about the methods of their manufacture, as well as the materials used to produce them. The study analyses and identifies the main damaging effects on gas turbine blades during their operation. The material describes the achievements of scientists who have developed numerical and experimental methods for assessing the impact of the anisotropic characteristics of single-crystal nickel heat-resistant alloys on the fatigue strength, durability and creep of turbine blades.
Pengaruh Kualitas Pelayanan dan Harga Terhadap Kepuasan Konsumen Pada E-Commerce Shopee
Authors: Yerizal Yerizal
Published: October 2024

ABSTRAK
Riset ini bertujuan untuk menganalisa pengaruh kualitas pelayanan dan harga terhadap kepuasan konsumen yang memanfaatkan platform e-commerce Shopee. Penelitian ini mengambil sampel dari responden yang merupakan generasi Z di Kabupaten Solok Selatan Provinsi Sumatera Barat. Penelitian ini menggunakan metode survei dengan menyebarkan kuesioner kepada 100 generasi Z di Solok Selatan  yang pernah berbelanja di Shopee atau memiliki aplikasi Shopee dalam lima tahun terakhir. Data yang diperoleh dianalisis dengan menggunakan regresi linear berganda. Hasil uji parsial (uji t) menunjukkan bahwa harga dan kualitas pelayanan berpengaruh positif dan signifikan terhadap kepuasan konsumen karena memiliki nilai signifikansi (t hitung<0,05).Temuan dari pengujian F menunjukkan bahwa harga dan kualitas pelayanan memiliki pengaruh yang signifikan terhadap tingkat kepuasan konsumen, yang dinyatakan dengan nilai F yang kurang dari 0,05
Manajemen Risiko Keselamatan, Kesehatan, dan Keamanan di Kawasan Wisata Pantai Parangtritis
Authors: Wijaya Oktomi , Pambudi Dholina Inang , Makarim Dzaky
Published: October 2024

Industri pariwisata tidak terlepas dari berbagai risiko keselamatan, kesehatan, dan keamanan. Penelitian ini bertujuan untuk melakukan kajian risiko keselamatan dan kesehatan kerja aktivitas wisata di wilayah rawan bencana, studi kasus di Pantai Parangtritis. Penelitian ini menggunakan metode kualitatif dengan desain studi kasus. Hasil penelitian ini yaitu diperoleh tingkat risiko yang beragam diantaranya tingkat risiko rendah sebesar 2,8%, tingkat risiko sedang sebesar 38,9%, tingkat risiko tinggi sebesar 55,6%, dan tingkat risiko ekstrem sebesar 2,8%. Manajemen risiko dapat diimplementasikan sesuai dengan rekomendasi agar penurunan risiko dapat tercapai.
ANALISIS KUALITAS UDARA PADA RUANGAN UPT PLTS DAN LABORATORIUM TEKNIK SISTEM ENERGI
Authors: Naimah Khoirun , Darmawan Arya Mahastra , Irfandi Muhammad , Pradini Putri , Sinaga Stefi Graf
Published: October 2024

Kualitas udara dalam suatu ruangan merupakan salah satu factor penting yang dapat mempengaruhi produktivitas seseorang dalam melakukan suatu pekerjaan. Kualitas udara yang buruk dapat disebabkan oleh adanya polusi udara. Polusi udara atau pencemaran udara adalah masuknya atau dimasukkannya zat, energi, dan atau komponen lain ke dalam udara oleh kegiatan manusia. Sehingga, pengukuran kualitas udara penting dilakukan untuk mengetahui dan menganalisa kualitas udara yang ada di ruangan 1 (UPT PLTS) dan ruangan 2 (Laboratorium Teknik Sistem Energi) Gedung Laboratorium Teknik 2 ITERA. Metode yang digunakan adalah observasi dan pengukuran langsung terhadap beberapa parameter kualitas udara yang meliputi PM1.0, PM2.5, PM10, TVOC, HCHO, Temperature, Relative Humidity, dan Air Quality Index (AQI).  Adapun pengukuran dilakukan dengan menggunakan Air Quality Monitor, yaitu alat yang dapat mengukur parameter- parameter yang menentukan kualitas udara dalam ruangan (indoor Air Quality). Berdasarkan hasil penelitian, pada ruangan 1 diperoleh AQI very good dan seluruh parameter telah memenuhi standar kecuali parameter Relative Humidity, sedangkan pada ruangan 2 diperoleh AQI fine dan Danger dengan ada 3 parameter yang belum memenuhi standar yaitu PM1.0, PM2.5, dan PM10.
Posición sagital del incisivo superior en relación a la frente en adolescentes peruanos con distinta relación esquelética
Authors:   , Bazan Mendoza Jose Renatto , Arias Modesto Paula Betzabe
Published: October 2024

Objetivo: El propósito de esta investigación fue determinar la posición sagital del incisivo superior teniendo en cuenta el análisis de Andrews basado en la posición de la frente en individuos latinoamericanos con distinta relación esquelética. Materiales y métodos: Este estudio retrospectivo y transversal incluyó 212 radiografías laterales de la cabeza de individuos peruanos (varones:85, edad promedio 21,38±6,88, y mujeres:127, edad promedio 21,18±6,95), con distinta relación esquelética (Clase I = 96, Clase II = 57, Clase III = 59). Se identificaron en las radiografías los valores de los ángulos ANB, SNA, SNB, así como los puntos FALL del inglés Forehead Anterior Limit Line y GALL del inglés Goal Anterior Limit Line, luego se trazó una línea vertical en cada punto para determinar si el incisivo superior se encontraba por delante (protruido), hacia atrás (retruido) o dentro (adecuado) de estas líneas. Dos investigadores formados y calificados realizaron todas las mediciones. Se utilizó la prueba de chi cuadrado para evaluar las asociaciones. Un valor p < 0,05 se consideró estadísticamente significativo. Resultados: La posición sagital del incisivo superior mostró una asociación significativa con la relación esquelética sagital (p=0,001). En cuanto a las relaciones esqueléticas de Clase I, II Y III; los incisivos superiores mostraron una posición adecuada (41,7%), protruida (56,10%) y retruida (42,40%), siendo los porcentajes más altos en cada Clase. Sólo se encontró significación estadística en mujeres (P=0,005). Conclusión: Se encontró una correspondencia para la clase esquelética I, una posición adecuada del incisivo central superior. Mientras que, para la clase II se encontró una posición protruida y para la clase III una posición retruida.
Hallazgos en los uroanálisis de gatos (Felis catus) con enfermedad del tracto urinario inferior (LUTD) atendidos en un centro de urgencias veterinarias del distrito de Breña durante el período 2020-2022
Authors:   , Falcon Enciso Antony Odoniel
Published: October 2024

La enfermedad del tracto urinario inferior (LUTD) en gatos es un trastorno común y es cada vez más evidente desde el punto de vista clínico en pacientes que acuden a consulta médica. Existen muchas enfermedades causantes de LUTD en gatos siendo las cuatro más frecuentes, la cistitis idiopática felina, urolitiasis, cistitis bacteriana, tapones uretrales, entre otras. Con respecto a los exámenes laboratoriales en gatos con LUTD, el examen de orina completo brinda información importante sobre trastornos del tracto urinario y permite además descartar posibles patologías causantes del LUTD, además de tener costo relativamente accesible para el propietario. El objetivo de este trabajo fue reportar los hallazgos de los uroanálisis de gatos con LUTD atendidos en un centro de urgencias veterinarias del distrito de Breña durante el período 2020 – 2022. Para este fin se utilizaron 81 uroanálisis de gatos que hayan tenido LUTD donde se dividieron en dos grupos, LUTD obstructivo y LUTD no obstructivo, y se compararon los resultados. Se aplicó la prueba de Chi cuadrado para encontrar si había asociación entre el LUTD y cada elemento del uroanálisis (características, pH, proteínas, glucosa, cetonas, bilirrubina, urobilinógeno, nitritos, hemoglobina, cristales y poblaciones celulares sanguíneas (eritrocitos y leucocitos), celulares epiteliales y microorganismos), al igual que el sexo, edad y estación del año. Los resultados indicaron que había asociación estadísticamente significativa (p<0.05) entre el sexo, color de orina, gravedad especifica, bacterias y LUTD; y que los gatos con LUTD no obstructivo, el 50% estaban en la etapa adulta y los obstructivos 41.9% están en etapa Kitten y Junior. Además, que el mayor porcentaje de LUTD ocurrió entre las estaciones de invierno y otoño. Todos los análisis fueron procesados en el programa estadístico Stata SE/16 (Stata Corp., College Station, TX) considerando un nivel de significancia de 5%.