Miracle-dz/UniFAR-FTUs huggingface dataset:
Discrete Octonion Linear Canonical Transform: Definition and Properties

In this paper, the discrete octonion linear canonical transform (DOCLCT) is defined. According to the definition of the DOCLCT, some properties associated with the DOCLCT are explored, such as linearity, scaling, boundedness, Plancherel theorem, inversion transform and shift transform. Then, the relationship between the DOCLCT and the three-dimensional (3-D) discrete linear canonical transform (DLCT) is obtained. Moreover, based on a new convolution operator, we derive the convolution theorem of the DOCLCT. Finally, the correlation theorem of the DOCLCT is established.
Distinguishing between Low- and High-Cost Pro-Environmental Behavior: Empirical Evidence from Two Complementary Studies

To reach sustainability goals, researchers and policymakers must focus on addressing changes toward more pro-environmental behavior (PEB). Therefore, this study shows evidence-based perceptions of low- and high-cost behaviors and deduces recommendations for PEB interventions. We applied a multi-step mixed-method approach: First, a representative online survey was conducted to collect a general quantitative overview and classify low- and high-cost behavior based on past behavior and behavioral intentions. Second, a gamification intervention that aimed to gain quantitative data about certain behaviors and perceived low- and high-costs was conducted with university students. The results of the two studies showed that PEB can easily be categorized into high-, rather-high-, rather-low-, and low-cost behavior. However, this classification is not based on emission sectors, e.g., mobility, but on the specific behavior. Interventions can be recommended according to subjective costs: For example, low-cost behavior does not need additional interventions in most cases but must be maintained as is. According to the empirical findings, high-cost behavior needs top-down interventions, while rather-high- and rather-low-cost behavior requires bottom-up interventions to achieve behavior changes. In summary, managing interventions using this classification and focusing on high-impact behavior can lead to successful behavior changes and emission reductions.
A multimodal Generative Adversarial Nets model for the prediction of matrix-based building performance

Nowadays, surrogate models have become a popular tool for early building design. However, their utility is obstructed by limited generalizability. A key factor is that unimodal input variables fail to adequately capture the multifaceted building features. The traditional approach of describing all building features with a uniform input type restricts the comprehensive data representation. In this study, a multimodal surrogate model based on Generative Adversarial Network (GAN) is proposed for matrix-based building performance prediction. The model incorporates a novel mapping technique that uses 2D images to represent 3D spatial properties, along with a multimodal GAN(mGAN). This network allows the parallel processing of images and vectors and introduces feature fusion and reinforcement operations to prevent the loss of key features due to data dimensional differences during information transfer. Daylight prediction for a single room was used as a case study to evaluate this model. The results show the Mean Absolute Error of 10.71 and the Structural Similarity Index Measure of 0.85, affirming the model’s validity and accuracy. In conclusion, the proposed multimodal model enhances the inclusivity of data modalities for surrogate models, enabling the proper data types to accurately represent different building features. It provides a better tool for building design that isn't limited by the type of data or design scenario.
Nanostructured optical fibre for use as miniature surface-enhanced Raman scattering sensors

Surface-enhanced Raman scattering (SERS) is a powerful spectroscopic tool for detecting low concentrations of many substances. The SERS effect occurs when a Raman-active molecule interacts with the electromagnetic (EM) field generated by surface plasmon excitations in a metal surface having nanoscale structural features. As a result of the interaction, the typically weak Raman scattering is amplified by many orders of magnitude. Despite its usefulness, one of the factors that has so far prevented SERS from moving out of the laboratory and into the marketplace is a lack of affordable and reliable nanostructured substrates. Since the discovery of the SERS effect over 30 years ago, many different techniques have been developed for producing the necessary substrate structures. Common techniques used include mechanical surface roughening, colloidal metal solutions, metal island films and lithographic techniques. While all produce SERS capable surfaces they either rely on random processes (which limit sample-to-sample reproducibility) or expensive manufacturing equipment. Both of these issues prevent cost effective commercialisation. A novel alternative, which is investigated in this thesis, is to use an optical fibre based system. The fibres presented in this work are based on highly modified medical imaging fibres. These fibres consist of a fused bundle of single-mode fibres (“pixels”) drawn in such a way that each fibre maintains its position along the length of the bundle. Previous works have shown that a selective chemical etchant can be used to erode the cores of these fibres leaving an array of wells. The work presented in this thesis shows that, by drawing the imaging fibre until the spacing between the cores is
TRANSIT-ORIENTED DEVELOPMENT (TOD) PLANNING ANALYSIS BY INTEGRATING GEOGRAPHIC INFORMATION SYSTEM (GIS) APPROACH

The development of TODs in Malaysia is still unclear because of no specific development and planning guidelines relating to TOD have been gazetted at the federal level. The objectives for this study are; (1) identifying land-use dimension to determine the potential of TOD development, (2) to analyse the potential of rail-based stations for TOD purposes based on five land-use dimension analysis, (3) to rank TOD typology of rail-based stations using GISMCDM technique and (4) to recommend the use of geospatial approach as a transportation planning solutions. The area of analysis will be within 400 meters radius from the rail-based stations in Shah Alam City Council. The analysis of research was evaluated on the land-use criteria comprising of coverage area, land availability, gentrification potential, density and diversity. The finding shows that the KTM Padang Jawa was identified as the most potential stations with scores of 80%. The least potential station is Skypark Link Subang Airport with scores of 40%. Result shows that the typology for two stations are determined asâ€™ second-highest TOD intensityâ€™ and â€˜third-highest TOD intensityâ€™. This study will provide a better understanding of how the land-use dimensions of TOD potential analysis are integrated into GIS application which is significant in many ways.
Developing and Mapping Rainfall Intensity, Duration, and Frequency Curves in Al-Faria Catchment

The rain intensity relationship is one of the most used tools in water resource engineering, mainly to determine precipitation intensity in the return period and period. In light of this, this study aims to develop the IDF relationship to precipitation for the Alvaria catchment. The height of the ground surface in the catchment varies greatly. With mild winters in the rain and mild hot summers, the climate in the Al Faria catchments is Mediterranean and semi-arid. Al Faraa watersheds are measured by six precipitation stations. These stations are Nablus, Taloza, Tamoon, Tubas, Beit Dajan and Al-Faraya with around 48 years of data. The maximum values of the annual precipitation data were analyzed. The results demonstrated that the Gumbel distribution is appropriate for the data and can be used for future estimates. After assessing and completing all available data, the IDF curves for stations were developed, and watershed maps from these curves were developed using Reverse Distance Weight (IDW) as a interpolation tool through ArcGIS. These maps can be used to find precipitation intensity which can also be found directly (without using curves or maps) using the software created by Matlab. ArcGIS provides an IDF map for a specific period and duration while using Matlab, allowing the IDF curve to be displayed for any point and any return period and duration.
Efficient 3D Instance Segmentation for Archaeological Sites
Using 2D Object Detection and Tracking

: This paper introduces an e ffi cient method for 3D instance segmentation based on 2D object detection, applied to the photogrammetric survey images of archaeological sites. The method capitalizes on the relationship between the 3D model and the set of 2D images utilized to compute it. 2D detections on the images are projected and transformed into a 3D instance segmentation, thus identifying unique objects within the scene. The primary contribution of this work is the development of a semi-automatic image annotation method, augmented by an object tracking technique that leverages the temporal continuity of image sequences. Additionally, a novel ad-hoc evaluation process has been integrated into the conventional annotation-training-testing cycle to determine the necessity of additional annotations. This process tests the consistency of the 3D objects yielded by the 2D detection. The e ffi cacy of the proposed method has been validated on the underwater site of Xlendi in Malta, resulting in complete and accurate 3D instance segmentation. Compared to traditional methods, the object tracking approach adopted has facilitated a 90% reduction in the need for manual annotations, The approach streamlines precise 3D detection, establishing a robust foundation for comprehensive 3D instance segmentation. This enhancement enriches the 3D survey, providing profound insights and facilitating seamless exploration of the Xlendi site from an archaeological perspective.
Comparative study of the cavitation situation and the non-cavitation situation under unsteady flow phenomena of a centrifugal pump

Numerical simulations in three dimensions, both with and without cavitation, were conducted to determine the influence of cavitation on a centrifugal pump. The reliability and accuracy of the numerical model were demonstrated through satisfactory agreement between the experimental and numerical values of the pump’s performance. An in-depth analysis of the correlation between performance characteristics and cavitation was undertaken. The research results indicate that cavity bubbles initially appear near the suction surface of the blade and gradually extend toward the middle of the blade-channel as cavitation intensifies. Moreover, based on the simulation results, it can be concluded that head characteristics are linked to the development of cavitation on the suction surface of the leading edge of the blade runner. A detailed analysis of experimental data and simulation results reveals that cavitation obstructs the flow channel and alters water flow direction, thereby diminishing operational capacity.
Politics metaphor in British and Bosnian-Herzegovinian migration discourse

As the geopolitical situation changes, it is necessary to discuss how politics is structured by metaphor in the context of recent social phenomena, such as the European migrant crisis. This paper analyses the conceptual metaphors politics as war, politics as a game, politics as a trade, and politics as a theater in British and Bosnian-Herzegovinian newspapers. The goal of this study is to establish to what extent and in which situations journalists resort to figurative language to persuade the recipients to view politics in a desired way. The paper aims to reflect on the use of deliberate metaphor as a perspective-changing device by journalists striving to achieve their rhetorical goals and influence recipients’ perception of the political situation. The corpus comprises 174 British and 307 Bosnian-Herzegovinian articles collected from August 2015 to March 2016 (247,912 words). Relying on Steen et al.’s (2010) model of metaphor analysis, the paper investigates the types of metaphor in the corpus, the deliberate use of politics metaphors and their communicative function in migration discourse - discussing both the rhetorical goals of journalists and the rhetorical effects on recipients. It has been established that the analyzed set of metaphors has a divertive and persuasive function in migration discourse. Similar studies are encouraged to shed light on how deliberate metaphors related to politics may have diverging communicative functions in other types of discourse.
A Bio-Inspired Drag Reduction Method of Bionic Fish Skin Mucus Structure

Efforts to enhance the speed and reduce the energy consumption of underwater vehicles have led to the proposal of a novel mucus release structure inspired by the secretion of mucus cells on fish skin. This structure features interconnected microgrooves with excellent flexibility for adjusting to different states, effectively reducing drag through mucus release. Numerical analysis of the drag reduction performance of the mucous-releasing micro-pore structure was conducted using ANSYS Fluent 19.2 software. This structure is capable of reducing the velocity gradient near the wall and, owing to the presence of micro-pore structures, decreasing the overall compressed area, thereby achieving drag reduction effects. The experimental results revealed a drag reduction effect of 20.56% when the structure was bent at an angle of 120°. The drag reduction varied under different attitudes such as tension and compression. This mucus release structure achieves reusability through a direct mucous injection process. This research provides valuable insights for the drag reduction study of underwater vehicles, such as ships and submarines, laying a foundation for advancing the development and applications of this field in the future.
Self-perceived oral health

Aim: This study aimed to investigate the relationship between self-perceived oral health and the prosthetic status of individuals who seek care in prosthodontics clinics. Methods: Self-perceived oral health was analyzed through the Geriatric Oral Health Assessment Index (GOHAI). Abutment tooth mobility was assessed, and denture status was determined by clinical assessment of stability, retention, occlusal balance, vertical dimension, and integrity of dentures. The frequency of individuals in each variable was determined for the low and very low GOHAI conditions. Chi-square, Pearson, and stepwise logistic regression tests were used for the statistical analyses (α = 0.05). Results: Ninety wearers of removable dentures with a mean age of 55.1±9.1 years were evaluated. None of the variables was related to GOHAI values (p > 0.05). The regression analysis showed that age predicts (p = 0.006) the variation of GOHAI conditions (OR = 0.924, CI = 0.873- 0.978), showing only 7.6% protective effect against very low GOHAI. Unsatisfactory stability showed the opposite effect (p = 0.034) and the individuals with this characteristic are more likely (OR = 3.055) to have very low GOHAI scores (CI = 1.085- 8.602). Conclusions: The self-perceived oral health of wearers of removable dentures worsens with age and unsatisfactory stability of dentures.
Polyallylamine Binds to Aβ Amyloid and Inhibits Antibody Recognition

Protein amyloids have attracted attention for their application as functional amyloid materials because of their strong properties, such as high resistance to chemical or biological degradation, despite their medical issues. Amyloids can be used for various applications by modifying the amyloid surface with functional materials, such as proteins and polymers. In this study, we investigated the effect of polyallylamine (PAA), a functional cationic polymer as a candidate for amyloid modification, on the amyloids formed from amyloid β (Aβ) peptide. It was demonstrated for the first time that PAA can bind to Aβ amyloids through fluorescence observations and the quenched emission from the tyrosine at site 10 near the fibrillogenic core. These results suggest that PAA could be used to develop new functional amyloids. However, notably, coating Aβ amyloid with PAA could affect conventional amyloid detection assays such as thioflavin T assay and detection using antibodies. Thus, our results also indicate that consideration would be necessary for the analysis of functional amyloids coated with various polymers.
A Comprehensive Evaluation Algorithm of Multi-Point Relay Based on Link-State Awareness for UANETs

The Multi-Point Relay (MPR) is one of the core technologies for Optimizing Link State Routing (OLSR) protocols, offering significant advantages in reducing network overhead, enhancing throughput, maintaining network scalability, and adaptability. However, due to the restriction that only MPR nodes can forward control messages in the network, the current evaluation criteria for selecting MPR nodes are relatively limited, making it challenging to flexibly choose MPR nodes based on current link states in dynamic networks. Therefore, the selection of MPR nodes is crucial in dynamic networks. To address issues such as unstable links, poor transmission accuracy, and lack of real-time performance caused by mobility in dynamic networks, we propose a comprehensive evaluation algorithm of MPR based on link-state awareness. This algorithm defines five state evaluation parameters from the perspectives of node mobility and load. Subsequently, we use the entropy weight method to determine weight coefficients and employing the method of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for comprehensive evaluation to select MPR nodes. Finally, the Comprehensive Evaluation based on Link-state awareness of OLSR (CEL-OLSR) protocol is proposed, and simulated experiments are conducted using NS-3. The results indicate that, compared to PM-OLSR, ML-OLSR, LD-OLSR, and OLSR, CEL-OLSR significantly improves network performance in terms of packet delivery rate, average end-to-end delay, network throughput, and control overhead.
Enhancing Well-Being: A Comparative Study of Virtual Reality Chromotherapy Rooms with Static, Dynamic, and Empty Environments

Chromotherapy rooms (CRs) are physical spaces with colored lights able to enhance an individual’s mood, well-being, and, in the long term, their health. Virtual reality technology can be used to implement CR (VRCRs) and provide higher flexibility at lower costs. However, existing VRCRs are limited to a few use cases, and they do not fully explore the potential and pitfalls of the technology. This work contributes by comparing three VRCR designs: empty, static, and dynamic. Empty is just a void but a blue-colored environment. Static adds static abstract graphics (flowers and sea texture), and dynamic adds dynamic elements (animated star particle systems, fractals, and ocean flow). All conditions include relaxing low-beta and ocean sounds. We conducted a between-subject experiment (n = 30) with the three conditions. Subjects compiled a self-perceived questionnaire and a mathematical stress test before and after the VRCR experience. The results demonstrated that the dynamic condition provided a higher sense of presence, while the self-perceived stress level was insignificant. Dynamic VR conditions are perceived as having a shorter duration, and participants declared that they felt more involved and engaged than in the other conditions. Overall, the study demonstrated that VRCRs have a non-trivial behavior and need further study of their design, especially considering their role in a future where VR will be an everyday working interface.
Diagnostic, Management, and Neonatal Outcomes of Colorectal Cancer during Pregnancy: Two Case Reports, Systematic Review of Literature and Metanalysis

Objective: Colorectal cancer (CRC) during pregnancy is a rare occurrence, with a reported incidence of 0.8 cases per 100,000 pregnancies. Managing CRC during pregnancy poses substantial challenges for clinicians: the diagnosis is often complicated and delayed due to symptom overlap with pregnancy-related manifestations, and medical imaging is constrained by safety concerns for the foetus. Methods: This article presents two cases of advanced CRC diagnosed and managed during pregnancy. Additionally, we conducted a systematic review of the literature to assess diagnostic and prognostic factors involved in CRC in pregnant individuals. The systematic review, with pre-registration and approval through Prospero, involved an extensive search of medical databases (Pubmed, Web of Science, Scopus and Scholar) and statistical analysis using t-test for continuous variables and chi square for dichotomous variables. Results: A total of 1058 studies were identified. After applying exclusion criteria, sixty-six studies were included. Women whose initial symptoms were severe abdominal pain not responsive to common medical treatments and constipation (acute abdomen) had a mean gestational age at delivery lower than those who presented with paucisymptomatic onset. In our study groups, women who underwent chemotherapy during pregnancy had a higher mean gestational age at delivery and did not experience worse neonatal outcomes compared to those who did not undergo chemotherapy. Conclusions: CRC during pregnancy poses unique diagnostic and therapeutic challenges. Collaborative efforts among various medical disciplines are essential to manage CRC during pregnancy.
Trust in Management and Work Flexibility: A Quantitative Investigation of Modern Work Dynamics and their Impact on Organizational Performance

: Purpose: In the context of an ever-evolving work environment and increasing demands for flexibility and autonomy, this study seeks to delve into the pivotal importance of trust in management and job flexibility within the contemporary professional landscape. Design/Methodology/Approach: A cross-sectional study design was employed to collect data from working students at the Paul Valéry University Montpellier in France. A quantitative research method utilizing a structured questionnaire was used to understand the influence of trust in management and work flexibility. The questionnaire comprised close-ended questions that explored exactly seven key variables such as trust in management, work flexibility, job satisfaction, productivity, proactivity and sense of responsibility, quality of outcomes, work-life balance, and a supportive, collaborative work environment. Findings: The results reveal that well-established trust in management positively correlates with increases in productivity and quality of outcomes, with work flexibility serving as a mediator in this relationship. Further, the analysis unveils mechanisms through which trust influences performance at both individual and team levels. Notably, it suggests that businesses fostering a culture centered on trust and flexibility are more likely to experience growth in revenue and profit margins. Practical Implications: This research not only deepens the theoretical understanding of work dynamics but also offers practical guidance for human resource management strategies. It advocates for firms to adopt policies that bolster trust and promote work flexibility, as such measures could positively impact the organization's overall performance. Originality/Value: While previous studies have often tackled trust and flexibility themes separately, this research seamlessly interweaves the two, shedding light on novel empirical data regarding their combined effect on business outcomes.