Miracle-dz/UniFAR-FTUs huggingface dataset:
A Preliminary Design-Phase Security Methodology for Cyber-Physical Systems

Despite “cyber” being in the name, cyber–physical systems possess unique characteristics that limit the applicability and suitability of traditional cybersecurity techniques and strategies. Furthermore, vulnerabilities to cyber–physical systems can have significant safety implications. The physical and cyber interactions inherent in these systems require that cyber vulnerabilities not only be defended against or prevented, but that the system also be resilient in the face of successful attacks. Given the complex nature of cyber–physical systems, the identification and evaluation of appropriate defense and resiliency strategies must be handled in a targeted and systematic manner. Specifically, what resiliency strategies are appropriate for a given system, where, and which should be implemented given time and/or budget constraints? This paper presents two methodologies: (1) the cyber security requirements methodology and (2) a systems-theoretic, model-based methodology for identifying and prioritizing appropriate resiliency strategies for implementation in a given system and mission. This methodology is demonstrated using a case study based on a hypothetical weapon system. An assessment and comparison of the results from the two methodologies suggest that the techniques presented in this paper can augment and enhance existing systems engineering approaches with model-based evidence.
THE INFLUEN16CE OF SECURITY CHECK POINT (SCP) 1 AGAINST PASSENGER SATISFACTION

Padang Minangkabau International Airport is located in West Sumatra, more precisely in Pariaman Regency. This airport has several terminals namely Domestic Terminal, International Terminal, VIP Terminal, and Cargo Terminal. At the domestic terminal at Minangkabau Airport there are problems that arise, namely the security inspection process that has not used the baggage handling system with and passenger responses. This article examines the effect of the existing security check process on the satisfaction of using the flight services that passengers get. This research utilizes a correlational Technique using a quantitative tactic which collects information derived from monitoring data, distribution of questionnaires, and literature studies. Respondents from this questionnaire are passengers who use flight services and the results of these answers are calculated using the SPSS application. The results of these calculations show that the safety check process or variable X is correlated with passenger satisfaction or variable Y. It is apparent in the correlational test, demonstrating a result of 0.00 which is beneath 0.05, signifying a correlation between the variables. Things that need to be updated at Padang Minangkabau International Airport are the security inspection process in accordance with applicable standard operating procedures and paying more attention to passenger satisfaction in providing services.
The dark side of the circular economy: The value uncaptured in bioeconomy business models

The bioeconomy, grounded in the shift from fossils to bio-based resources, plays an important role in the Net Zero 2050 scenario. However, even if rooted in circular thinking, bioeconomy business models are not free from environmental, social, and economic concerns. This paper deals with the causes of the unsustainability of business models in the biofuels sector, embracing an unconventional approach that focuses on the uncaptured value. The value uncaptured is the negative aspect of value, and it consists of creating too much or not enough value during the product lifecycle. Value uncaptured can threaten the sustainability of circular business models, which is why it constitutes the ‘dark side’ of circular strategies. Starting from a gap in the existing literature and supported by theoretical background, this study aims to suggest a theoretical framework to identify the causes of the negative value in the biofuel sector. The paper uses a qualitative tool, namely a case study analysis. The findings reveal that circular business models can suffer from value uncaptured, which can take the form of value absence, value destroyed, value surplus, and value missed. Identifying these forms of value can transform them into opportunities for value creation. These results enrich the research on the circular economy with a new and unconventional approach. The elaborated theoretical framework can become a qualitative tool to identify what causes companies’ circular business models to underperform.
Assessment of anticancer properties of cumin seed (Cuminum cyminum) against bone cancer

Introduction Early-life osteosarcoma is associated with severe morbidity and mortality, particularly affecting young children and adults. The present cancer treatment regimen is exceedingly costly, and medications like ifosfamide, doxorubicin, and cisplatin have unneeded negative effects on the body. With the introduction of hyphenated technology to create medications based on plant molecules, the application of ayurvedic medicine as a new dimension (formulation, active ingredients, and nanoparticles) in the modern period is rapidly growing. The primary source of lead compounds for the development of medications for avariety of ailments is plants and their products. Traditionally, Cuminum cyminum (cumin) has been used as medication to treat a variety of illnesses and conditions. Methods The cumin seed was successfully extracted with solvents Hexane, Chloroform, Methanol, Ethanol and Acetone. Following the solvent extraction, the extract residue was assayed in MG63 cells for their anti-proliferative properties. Results First, we used the [3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyltetrazolium Bromide] (MTT) assay to test the extracted residue’s cytotoxicity. The results show that hexane extract Half-maximal inhibitory concentration (IC50 86 µG/mL) effciently inhibits cells by causing programmed cell death. Furthermore, using the Acridine orange/ethidium bromide (AO/EB) staining method, the lactate dehydrogenase assay, and the reactive oxygen species assay using the Dichloro-dihydro-fluorescein diacetate (DCHFDA) staining method, we have demonstrated that the hexane extract causes apoptosis in MG63 cells. Furthermore, flow cytometry research revealed that the hexane extract stops the cell cycle in the S phase. In addition, the hexane extract limits colony formation and the migration potential as shown by the scratch wound healing assay. Furthermore, the extract from cumin seeds exhibits remarkable bactericidal properties against infections that are resistant to drugs. Gas chromatography analysis was used to quantitatively determine the hexane and methanolic extract based on the experimental data. The primary chemical components of the extract are revealed by the study, and these help the malignant cells heal. The present study finds that there is scientific validity in using cumin seeds as a novel method of anticancer therapy after undergoing both intrinsic and extrinsic research.
Dry Air Outbreak and Significant Surface Turbulent Heat Loss During Hurricane Ian: Satellite and Saildrone Observations

This study investigates an exceptional Gulf of Mexico dry air outbreak triggered by Hurricane Ian and fueled by dry air originating from drought‐stricken mid‐latitudes under a high‐pressure system. The convergence of meteorological forces, combining cooler, dry air with a warmer, humid sea surface and strong winds, intensified latent and sensible heat exchanges, resulting in significant oceanic heat loss. Data from the 2022 Atlantic hurricane Saildrone mission and satellite flux analysis revealed that the outbreak's total turbulent heat fluxes peaked above 850 Wm−2, comparable to or even surpassing the hurricane’s impact. Argo float measurements recorded a 40‐m deepening of the mixed layer and a 1.4°C temperature decrease. In the tropical Atlantic, wind effects outweighed humidity in driving flux variability. Saildrone’s high‐frequency linewise measurements, distinct from satellite’s footprint averages, provide unique insights into wind variability under high wind conditions.
Structural basis of tRNA recognition by the m3C-RNA-methyltransferase METTL6 in complex with SerRS seryl-tRNA synthetase

Methylation of cytosine 32 in the anticodon loop of tRNAs to 3-methylcytosine (m3C) is crucial for cellular translation fidelity 1. Misregulation of the RNA methyltransferases setting this modification can cause aggressive cancers and metabolic disturbances 2,3. However, our understanding of the substrate selection and catalysis mode of the m3C RNA methyltransferases is currently still lacking. Here, we report the cryo-electron microscopy structure of the m3C tRNA methyltransferase METTL6 in complex with seryl-tRNA synthetase (SerRS) and their common substrate tRNASer. Through the complex structure, we identify the tRNA binding domain of METTL6. We show that SerRS acts as the tRNASer substrate selection factor for METTL6. We reveal how METTL6 and SerRS jointly coordinate the long variable arm of tRNASer in their interface. We demonstrate that SerRS augments the methylation activity of METTL6 and that direct contacts between METTL6 and SerRS are necessary for efficient tRNASer methylation. Finally, based on the structure of METTL6 in complex with SerRS and tRNASer, we postulate a universal tRNA binding mode for m3C RNA methyltransferases including METTL2 and METTL8, suggesting that these mammalian paralogues use similar ways to engage their respective tRNA substrates and co-factors.
Noncoding function of super enhancer derived mRNA in modulating neighboring gene expression and TAD interaction

Super enhancers are important regulators of gene expression that often overlap with protein-coding genes. However, it is unclear whether the overlapping protein-coding genes and the mRNA derived from them contribute to enhancer activity. Using an erythroid-specific super enhancer that overlaps the Cpox gene as a model, we found that Cpox mRNA has a non-coding function in regulating neighboring protein-coding genes, eRNA expression and TAD interactions. Depletion of Cpox mRNA leads to accumulation of H3K27me3 and release of p300 from the Cpox locus, activating an intra-TAD enhancer and gene expression. Additionally, we identified a head-to-tail interaction between the TAD boundary genes Cpox and Dcbld2 that is facilitated by a novel type of repressive loop anchored by p300 and PRC2/H3K27me3. Our results uncover a regulatory role for mRNA transcribed within a super enhancer context and provide insight into head-to-tail inter-gene interaction in the regulation of gene expression and oncogene activation.
XFM: Accelerated Software-Defined Far Memory

DRAM constitutes over 50% of server cost and 75% of the embodied carbon footprint of a server. To mitigate DRAM cost, far memory architectures have emerged. They can be separated into two broad categories: software-defined far memory (SFM) and disaggregated far memory (DFM). In this work, we compare the cost of SFM and DFM in terms of their required capital investment, operational expense, and carbon footprint. We show that, for applications whose data sets are compressible and have predictable memory access patterns, it takes several years for a DFM to break even with an equivalent capacity SFM in terms of cost and sustainability. We then introduce XFM, a near-memory accelerated SFM architecture, which exploits the coldness of data during SFM-initiated swap ins and outs. XFM leverages refresh cycles to seamlessly switch the access control of DRAM between the CPU and near-memory accelerator. XFM parallelizes near-memory accelerator accesses with row refreshes and removes the memory interference caused by SFM swap ins and outs. We modify an open source far memory implementation to implement a full-stack, user-level XFM. Our experimental results use a combination of an FPGA implementation, simulation, and analytical modeling to show that XFM eliminates memory bandwidth utilization when performing compression and decompression operations with SFMs of capacities up to 1TB. The memory and cache utilization reductions translate to 5∼27% improvement in the combined performance of co-running applications.
Social Media Marketing and Educational Institution Brand Awareness, Image, and Attitude

This empirical study seeks to elucidate the impact of social media marketing (SMM) on forming brand awareness, brand image, and brand attitude within the educational institution context. In pursuit of these objectives, data were collected through a survey involving 149 respondents comprising current university students and graduates in North Sulawesi. The analysis was conducted utilizing Structural Equation Modelling (SEM) with SmartPLS. The study's results disclose significant and positive relationships between SMM and brand attitude, brand awareness, and brand image. Furthermore, it was found that brand image significantly influences brand attitude, while brand awareness plays a pivotal role in shaping the brand image. However, it was observed that brand awareness did not exhibit a significant positive effect on brand attitude. These findings offer valuable insights for educational administrators, underscoring the central role of social media in fortifying institutional branding. By comprehending the intricate interplay of these variables, institutions can strategically harness social media platforms to augment brand awareness, cultivate a positive brand image, and ultimately foster a favorable brand attitude. This understanding is critical for their marketing and branding efforts within an increasingly digital and globalized educational landscape.
Endolysin B as a new archetype in M. tuberculosis treatment

So far it is thanks to antibiotics that illnesses, such as Tuberculosis (TB), are treatable. However, antimicrobial misuse combined with Mycobacterium tuberculosis phenotypic plasticity are nullifying the effects of the existing therapies. As a result, increasingly people are dying (one person dies of TB every 20 seconds), especially due to the rise of multi-and extensively drug-resistant strains. There is indeed a urgent need for new and more effective therapies, which should match the requirement of avoiding the rise in drug resistance. Among them, the use of bacteriophage – bacteria-restricted viruses – or simply phage lytic enzyme (i.e., endolysin) represents one of the most promising alternatives. All phages encode for the endolysin A (LysA), which degrades the bacteria cell wall, finally leading to the release of the newly synthesized virions. Nevertheless, mycobacteriophages (bacterial viruses selectively infecting mycobacteria), evolved the additional endolysin B (LysB) to selectively damage the complex mycobacteria cell wall, and to evade from their host. LysB, owing a lipolytic enzyme, can degrade the thick mycolic acid layer, and hence disrupt the integrity of the mycobacterial membrane. Despite its key role in mediating mycobacteria lysis, the molecular mechanism regulating LysB binding to its target remains poorly characterized. Herein, we selected Ms6LysB and created a fluorescent engineered version as a proxy to analyze LysB binding qualitatively and quantitatively to both the fast-growing non-pathogenic Mycobacterium smegmatis and the slow-growing pathogenic M. tuberculosis. Additionally, we shed light on LysB antimicrobial activity upon M. tuberculosis infection, by using alveolar-like mouse macrophages (mAMs) as a cellular model that closely recapitulates the natural niche of M. tuberculosis infection. Our study provides the proof-of-principle that Ms6 LysB binding to the outer mycobacterial membrane can impair M. tuberculosis growth homeostasis and that LysB retain its lytic properties even when internalized by mAMs. This lays the groundwork for the use of LysB as a new therapeutic strategy to undermine M. tuberculosis infection.
Phonation variation in Zhangzhou Southern Min

This study explores how the voice quality is encoded in Zhangzhou Southern Min, a Sinitic dialect spoken in South Fujian province of mainland China. Empirically, three phonation types of breathy, creaky, and modal can be identified in its monosyllabic synchronic speech, whose distribution is discovered to be primarily conditioned by vowel quality, and further constrained by pitch contour and syllable coda type. The dynamic encoding is well attested in acoustic signals with varying quantifiable waveforms and spectral tilt patterns of H1-H2, H2-H3, and H1-H3. This study contributes a new methodology to demonstrate the phonation differences in natural speech. The realisation reflects the critical fact that phonation can be encoded in a way that is far more complicated than our general assumption and expectation. It is thus imperative to ground linguistic analysis in phonetic reality to uncover its nature and to improve our cognitive knowledge of human languages.
Examining the Role of Aesthetic Experiences in Self-Realization and Self-Transcendence: A Thematic Analysis

Abstract Numerous scholars, philosophers, and experts in aesthetics have underscored the profound significance of a life enriched by the presence of beauty. Consequently, the appreciation of aesthetic experiences is considered pivotal for achieving self-discovery and self-transcendence (Howell et al. 2017). Despite theoretical prominence, limited qualitative research has been conducted on this topic. To address this gap in research, this study’s objective emphasized two questions guiding the inquiry; What is the role of aesthetic encounters in aiding self-realization or individuation? and, how do these experiences foster self-transcendence? A thematic analysis was performed on the online interviews conducted (N=25), and their results revealed seven themes pertaining to self-realization: a) Losing Yourself to Find Yourself; b) Relatability and Self-Reflection in Art; c) Identity as a Collection of Skills; d) Art as a Medium for Self-Expression and Acknowledgment; e) Aesthetic Genres and Taste as Identity; f) Belonging and Social Identity through Art; and g) Personal Interests and Choices in Artistic Consumption. Furthermore, seven themes for the second research question of self-transcendence were also discovered: a) Mother Nature’s Beauty; b) Intense, Passionate, and Overwhelming Experiences of Heightened Consciousness; c) Sacred Symbolism, Archetypal Imagery, and the Collective Unconscious; d) Collective Effervescence, Social Connection, and Shared Meaning; e) The ‘Profound’ Found in the Mundane; f) Feelings of Spiritual Elevation and Wellbeing; and g) Self-Referential Meaning-Making through Art. These findings evidenced the transformative potential of aesthetic experiences, shedding light on the facets of personal growth and meaning that individuals derive from such encounters.
Zero-day vulnerability prevention with recursive feature elimination and ensemble learning

This research addresses the challenge of identifying and preventing novel network threats by optimising the UGRansome dataset for real-time anomaly detection. Util-ising a hybridised approach involving naïve tree-based ensemble machine learning and recursive feature elimination (RFE), the study achieves a balanced accuracy of 97%, with naïve Bayes (NB) emerging as the most effective classifier. The proposed framework, combining gradient boosting (GB) and random forest (RF) as base models with NB as a blender, proves successful in detecting and preventing zero-day vulnerabilities. UGRansome makes a substantial impact by successfully preventing more than 100 kbps of malicious traffic using features extracted by the RFE technique. This is achieved through the utilisation of uniform resource locators (URLs) extracted by the RFE model, surpassing the performance of existing Intrusion Detection System (IDS) datasets. Secure shell attacks are notably thwarted, showcasing the dataset’s efficacy in enhancing network security. The study highlights significant advancements in intrusion detection techniques. The NB model exhibits exceptional performance, surpassing other models in accuracy, precision, and recall across all classes, especially in zero-day vulnerability classification. Additionally, the proposed naïve tree-based ensemble model demonstrates remarkable accuracy and stands out as the top-performing technique among all models studied. Implementation of the UGRansome properties-based rule resulted in discernible changes in traffic classification, reducing unknown traffic while increasing unclassified traffic, warranting further investigation.
Breastfeeding among parous women offered home-visit by a midwife after early discharge following planned cesarean section: Secondary analysis of a randomized controlled trial

INTRODUCTION Early discharge holds several advantages and seems safe after planned cesarean section among low-risk women. However, breastfeeding rates are lower after cesarean section. Thus, concern has been raised that early discharge among these women may affect breastfeeding even further. Therefore, we aimed to assess the effect of early discharge the day after planned cesarean section on breastfeeding, among parous women when a home-visit by a midwife was provided the day after discharge. METHODS We conducted a secondary analysis of a randomized trial. Parous women (n=143) planned for cesarean section were allocated to either discharge within 28 hours after planned cesarean section followed by a home visit the day after (early discharge) or discharge at least 48 hours after planned cesarean section (standard care). The participants filled in questionnaires approximately 2 weeks before delivery and 1 week, 4 weeks, and 6 months postpartum. RESULTS The proportions of women initiating breastfeeding were 84% versus 87% (early discharge vs standard care). After 6 months, 23% versus 21% were exclusively breastfeeding, while 29% versus 42% were partially breastfeeding. The mean duration of exclusive breastfeeding was 3.4 months (SD=2.3) in both groups. None of these differences was statistically significant. In both groups, the women’s breastfeeding self-efficacy score before cesarean section correlated with the duration of breastfeeding. After 4 weeks, low-score rates were 28% versus 30%. CONCLUSIONS Early discharge with follow-up home visits by a midwife after planned cesarean section in parous women is feasible without compromising breastfeeding.
Alternative Photographic Processes Reimagined: The Role of Digital Technology in Revitalizing Classic Printing Techniques

The transition from film to digital has influenced photography techniques, with implications for both cultural and technical aspects. By examining the history and concepts of classical photography and incorporating computer intervention in revitalizing alternative photographic processes, we aim to expand aesthetic expressions in art, computer graphics, and our understanding of photography’s cultural significance. Integrating computer processing with techniques such as salt print, platinum print, and cyanotype, this study seeks to create a new photographic experience that embraces the joy of materializing scenery and highlights the interconnectedness of technology and art.