Miracle-dz/UniFAR-FTUs huggingface dataset:
MMDCP: Multi-Modal Dental Caries Prediction for Decision Support System Using Deep Learning

In recent years, healthcare has gained unprecedented attention from researchers in the field of Human health science and technology. Oral health, a subdomain of healthcare described as being very complex, is threatened by diseases like dental caries, gum disease, oral cancer, etc. The critical point is to propose an identification mechanism to prevent the population from being affected by these diseases. The large amount of online data allows scholars to perform tremendous research on health conditions, specifically oral health. Regardless of the high-performing dental consultation tools available in current healthcare, computer-based technology has shown the ability to complete some tasks in less time and cost less than when using similar healthcare tools to perform the same type of work. Machine learning has displayed a wide variety of advantages in oral healthcare, such as predicting dental caries in the population. Compared to the standard dental caries prediction previously proposed, this work emphasizes the importance of using multiple data sources, referred to as multi-modality, to extract more features and obtain accurate performances. The proposed prediction model constructed using multi-modal data demonstrated promising performances with an accuracy of 90%, F1-score of 89%, a recall of 90%, and a precision of 89%.
FBG sensor encapsulated by using 3D printing technology for monitoring the heart rate of the human body

This article describes the fiber-optic Bragg grating sensor which is encapsulated by using 3D print and polylactic acid material. This FBG sensor is designed for heart rate monitoring of the human body. In this article, we describe the complete process consisting of creating, encapsulating, and experimental verification of the sensor. This sensor we compared with the conventional ECG monitoring system. Measurement was performed with a group of 5 volunteers in the laboratory conditions. The measured data were compared by the Bland-Altman method.
A Zebrafish/Drosophila Dual System Model for Investigating Human Microcephaly

Microcephaly presents in neurodevelopmental disorders with multiple aetiologies, including bi-allelic mutation in TUBGCP2, a component of the biologically fundamental and conserved microtubule-nucleation complex, γ-TuRC. Elucidating underlying principles driving microcephaly requires clear phenotype recapitulation and assay reproducibility, areas where go-to experimental models fall short. We present an alternative simple vertebrate/invertebrate dual system to investigate fundamental TUBGCP2-related processes driving human microcephaly and associated developmental traits. We show that antisense morpholino knockdown (KD) of the Danio rerio homolog, tubgcp2, recapitulates human TUBGCP2-associated microcephaly. Co-injection of wild type mRNA pre-empts microcephaly in 55% of KD zebrafish larvae, confirming causality. Body shortening observed in morphants is also rescued. Mitotic marker (pH3) staining further reveals aberrantly accumulated dividing brain cells in microcephalic tubgcp2 KD morphants, indicating that tubgcp2 depletion disrupts normal mitosis and/or proliferation in zebrafish neural progenitor brain cells. Drosophila melanogaster double knockouts (KO) for TUBGCP2 homologs Grip84/cg7716 also develop microcephalic brains with general microsomia. Exacerbated Grip84/cg7716-linked developmental aberration versus single mutations strongly suggests interactive or coinciding gene functions. We infer that tubgcp2 and Grip84/cg7716 affect brain size similarly to TUBGCP2 and recapitulate both microcephaly and microcephaly-associated developmental impact, validating the zebrafish/fly research model for human microcephaly. Given the conserved cross-phyla homolog function, the data also strongly support mitotic and/or proliferative disruption linked to aberrant microtubule nucleation in progenitor brain cells as key mechanistic defects for human microcephaly.
Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data

Traffic accidents causing nonrecurrent congestion and road traffic injuries seriously affect public safety. It is helpful for traffic operation and management to predict the duration of traffic incidents. Most of the previous studies have been in a certain area with a single data source. This paper proposes a hybrid deep learning model based on multi-source incomplete data to predict the duration of countrywide traffic incidents in the U.S. The text data from the natural language description in the model were parsed by the latent Dirichlet allocation (LDA) topic model and input into the bidirectional long short-term memory (Bi-LSTM) and long short-term memory (LSTM) hybrid network together with sensor data for training. Compared with the four benchmark models and three state-of-the-art algorithms, the RMSE and MAE of the proposed method were the lowest. At the same time, the proposed model performed best for durations between 20 and 70 min. Finally, the data acquisition was defined as three phases, and a phased sequential prediction model was proposed under the condition of incomplete data. The results show that the model performance was better with the update of variables.
Robust Control and Filtering for Time-Delay Systems

Robust control: robust stability robust stabilization robust H-infinity control guaranteed cost control passivity analysis and synthesis interconnected systems. Robust filtering: robust Kalman filtering robust H-infinity filtering interconnected systems. Appendices: some facts from matrix theory some algebraic inequalities stability theorems positive real systems LMI control software.
Contextualising capabilities for public safety in undergraduate sustainability engineering education

Abstract Sustainability in university curricula remains important for equipping graduates from all disciplines with capabilities to respond to complex social, economic, and environmental challenges in their future professional roles. Situating sustainability learning within disciplinary contexts is needed for learners to apply sustainability theory to their future professions. Furthermore, developing capabilities is important to enable graduates to act in differing professional contexts. In response to these needs, this paper contextualises safety as part of sustainability in undergraduate engineering studies by exploring the complementarity between professional capabilities for safety in engineering and key capabilities found in sustainability education literature. The paper draws on findings from interviews with 41 pipeline engineers undertaken to build an understanding of differing views on engineering capabilities necessary for safety decision making. The results show synergies between safety and sustainability capabilities in the context of engineering practice and the opportunities to contextualise safety within sustainability in engineering education. From a safety perspective, given the expanding sustainable development agenda, there is an opportunity to increase education for public safety in engineering curricula within the scope of sustainability education and to shift learning from competencies to capabilities-based outcomes.
The creation of modern urban form in the Philippines

This paper explores the creation of city plans in the Philippines during the early-twentieth century. It considers how urban planning was employed to strengthen an embryonic sense of national character as defined by American colonial administrators, and how the employment of a particular urban morphological model helped to convey this identity. The implementation of ‘modern urban form’ as part of a governmental process to dissociate the Philippines from its past as an ‘uncivilized’ place is examined. Political and cultural transition after the Spanish-American War of 1898 is related to the manifestation of American visions of nationhood in environmental form. The alliance between urban form, colonial governance, the Philippine landscape, and identity production is explored, and new light is shone on how cultural, political, artistic, and environmental forces affected each other.
Achieving sustainability: Determinants of conscious green purchasing behavior during the COVID‐19 pandemic

Abstract The COVID‐19 pandemic has spread worldwide, resulting in crises in public health and sustainable development. Aimed at understanding the determinants of conscious green purchasing behavior (GPB), this paper developed a comprehensive framework linking the moderating effect of negative environmental affective reactions (NEAR) to COVID‐19 based on the S–O–R paradigm. Using randomly selected urban residents from China's Yangtze River Delta and Bohai Rim regions, the empirical study was conducted using 559 valid responses. The results show that media and peers are the major social forces activating altruistic and egoistic motivations, while family influence was not significant. Dual motivations significantly mediated the relationships of unconditional and conditional GPB with media exposure and peer influence. Contrary to expectations, NEAR negatively moderated the formation process of conscious GPB. The findings indicate that the influence of peers on conscious GPB through dual motivations is stronger compared to media. Negative affective reactions to COVID‐19 were also found to inhibit the impact of peer influence on altruistic and egoistic motivations, as well as the path of altruistic motivation on unconditional GPB. The results of this study have important theoretical and practical implications for enterprise marketing and environmental campaigns, and narrowing the green attitude‐behavior gap.
The Effect of Core Stabilization Training on Improving Gait and Self-Perceived Function in Patients with Knee Osteoarthritis: A Single-Arm Clinical Trial

The treatment of patients with knee osteoarthritis is typically focused on the involved lower extremity. There is a gap in the literature concerning the effectiveness of core stabilization training on the treatment of patients with knee osteoarthritis. This investigation aimed to determine whether core stabilization improved the gait and functional ability of patients with knee osteoarthritis. Eighteen participants with knee osteoarthritis completed the six-week core stabilization intervention. Participants completed the gait motion analysis and the Knee Injury and Osteoarthritis Outcome Score to assess self-perceived function, pre- and post-intervention. Gait speed improved (p = 0.006, d = 0.59), while the external knee adduction moment decreased (p = 0.034, d = −0.90). Moreover, self-reported function improved (p < 0.001, d = 1.26). The gait speed and external knee adduction moment changes met minimal detectable change thresholds, while gait speed also met the minimal clinically important difference. A six-week core stabilization program can thus improve gait speed and reduce the external knee adduction moment, which is tied to disease progression. Increased functional scores post-intervention indicate an important clinical improvement. Core stabilization training is a safe and potentially effective treatment option for this population.
Influence of body fatness on propofol requirements for loss of consciousness in target-controlled infusion: A STROBE-compliant study

This prospective observational study evaluated the effects of body fat on the pharmacologic effect of propofol. Hundred patients aged 18 to 75 years who were scheduled to undergo orthopedic surgery under regional block were enrolled. All participants underwent bioelectrical impedance analysis and were allocated into 2 groups: the high and normal adiposity group, according to percent body fat. Following successful regional block, propofol was incrementally infused until loss of consciousness (LOC) with a target-controlled infusion pump. The effect-site concentration of propofol at LOC and the total infused dose of propofol per total body weight until LOC were recorded. At the end of the surgery, the infusion of propofol was stopped. The elapsed time to recovery of consciousness (ROC) and the effect-site concentration at ROC were recorded. These pharmacologic data were compared between 2 groups. The effect-site concentration of propofol at LOC (µg/mL) was significantly lower in the high adiposity group than in the normal group in both sexes (3.5 ± 0.4 vs 3.9 ± 0.6; P = .020 in males, and 3.4 [interquartile range: 2.9–3.5] vs 3.8 [interquartile range: 3.3–3.9]; P = .006 in females). Total dose per total body weight until LOC (mg/kg) were also significantly lower in the high adiposity group than in the normal group. There was no significant difference in the data related to ROC. The pharmacologic effects of propofol may be affected by the composition of body components. The concentration of propofol using a target-controlled infusion system may be diminished in patients with a high proportion of body fat.
Surgical Outcomes of VRAM vs. Gracilis Flaps in Vulvo-Perineal Reconstruction Following Oncologic Resection: A Proportional Meta-Analysis

Simple Summary The rate of perineal complications after abdominoperineal reconstruction for the treatment of cancers ranges from 25% to 60% in the literature. It is well-established in current literature that direct closure has a higher complication rate than closure with a flap. Several reconstructive options have been proposed to fill the dead space with well-vascularized tissue. Every surgeon would like to be comfortable in selecting which flap has superiority in terms of surgical outcome. In the absence of a meta-analysis on the subject due to the scarcity of RCT and comparative studies, we used a proportional meta-analysis to analyze the surgical outcomes after reconstruction with either VRAM flap or gracilis flap following oncologic resection of the vulvo-perineal region. Abstract Pelvic exenteration and abdominoperineal resection are radical techniques commonly used for locally advanced or recurrent pelvic malignancy with high morbidity due to large pelvic defects. Flaps can help provide healthy, well-vascularized, non-irradiated tissues to fill pelvic dead space. We conducted a proportional meta-analysis to compare surgical outcomes of vertical rectus abdominus myocutaneous flap (VRAM) vs. gracilis flap for vulvo-perineal reconstruction following oncologic resection. A comprehensive literature search was conducted in the MEDLINE, PubMed, Embase, Google Scholar, and Cochrane Library databases. Proportional meta-analysis was performed to compare the surgical outcomes of using VRAM or gracilis flaps. Our review yielded 16 eligible studies. The pooled resolution rate of overall donor site complications for VRAM flap (pooled proportion = 0.576 [95% CI 0.387, 0.754]) was significantly higher than the pooled rate of overall donor site complications of gracilis flap (pooled proportion = 0.160 [95% CI 0.058, 0.295]). Partial and total flap necrosis were similar in both groups. There was no statistically significant difference between minor and major complications for both flaps. Both flaps can be used safely for vulvo-perineal reconstruction following oncologic resection with similar recipient site outcomes, although the VRAM flap will have more donor site complications than the gracilis flap.
Responses of soil fungal communities and functional guilds to ~160 years of natural revegetation in the Loess Plateau of China

Natural revegetation has been widely confirmed to be an effective strategy for the restoration of degraded lands, particularly in terms of rehabilitating ecosystem productivity and soil nutrients. Yet the mechanisms of how natural revegetation influences the variabilities and drivers of soil residing fungal communities, and its downstream effects on ecosystem nutrient cycling are not well understood. For this study, we investigated changes in soil fungal communities along with ~160 years of natural revegetation in the Loess Plateau of China, employing Illumina MiSeq DNA sequencing analyses. Our results revealed that the soil fungal abundance was greatly enhanced during the later stages of revegetation. As revegetation progresses, soil fungal richness appeared first to rise and then decline at the climax Quercus liaotungensis forest stage. The fungal Shannon and Simpson diversity indexes were the lowest and highest at the climax forest stage among revegetation stages, respectively. Principal component analysis, Bray–Curtis similarity indices, and FUNGuild function prediction suggested that the composition, trophic modes, and functional groups for soil fungal communities gradually shifted along with natural revegetation. Specifically, the relative abundances of Basidiomycota, Agaricomycetes, Eurotiomycetes, and ectomycorrhizal fungi progressively increased, while that of Ascomycota, Sordariomycetes, Dothideomycetes, Tremellomycetes, saprotrophic, pathotrophic, arbuscular mycorrhizal fungi, and endophyte fungi gradually decreased along with natural revegetation, respectively. The most enriched members of Basidiomycota (e.g., Agaricomycetes, Agaricales, Cortinariaceae, Cortinarius, Sebacinales, Sebacinaceae, Tricholomataceae, Tricholoma, Russulales, and Russulaceae) were found at the climax forest stage. As important carbon (C) sources, the most enriched symbiotic fungi (particularly ectomycorrhizal fungi containing more recalcitrant compounds) can promote organic C and nitrogen (N) accumulation in soils of climax forest. However, the most abundant of saprotrophic fungi in the early stages of revegetation decreased soil organic C and N accumulation by expediting the decomposition of soil organic matter. Our results suggest that natural revegetation can effectively restore soil fungal abundance, and modify soil fungal diversity, community composition, trophic modes, and functional groups by altering plant properties (e.g., plant species richness, diversity, evenness, litter quantity and quality), quantity and quality of soil nutrient substrates, soil moisture and pH. These changes in soil fungal communities, particularly their trophic modes and functional groups along with natural revegetation, impact the accumulation and decomposition of soil C and N and potentially affect ecosystem C and N cycling in the Loess Plateau of China.
Asymptotics in statistics and probability : papers in honor of George Gregory Roussas

Part 1 Trend estimation in correlated noise, Rudolf Beran: the lumber-thickness data asymptotically minimax estimators proofs. Part 2 Higher order analysis at Lebesgue points, A. Berlinet and S. Levallois: definitions and main results two examples with infinite derivatives example with discontinuity of the second kind conclusion. Part 3 Regression analysis for multivariate failure time observations, T. Cai and L.J. Wei: estimation of regression parameters simultaneous predictions of survival probabilities and related quantities example appendix -asymptotic joint distribution of {b*k} with discrete covariates. Part 4 Local estimation of a biometric function with covariate effects, Zongwu Cai and Lianfen Qian: local likelihood method an exponential regression approach simulation study appendix. Part 5 The estimation of conditional densities, X. Chen et al: kernel conditional density estimates asymptotic theory of conditional density estimates and bandwidth choice. Part 6 Functional limit theorems for induced order statistics of a sample from a domain of attraction of a-stable law, a I (0,2), Yu. Davydov and V. Egorov: notation auxillary facts main results lemmas proofs concluding remarks. Part 7 Limit laws for kernel density estimators for kernels with unbounded supports, Paul Deheuvel: introduction and results proofs. Part 8 Inequalities for a new data-based method for selecting nonparametric density estimates, Luc Devroye et al: the basic estimate standard kernel estimate -Riemann kernels standard kernel estimate - general kernels multiparameter kernel estimates - product kernels multiparameter kernel estimates - ellipsoidal kernels the transformed kernel estimate Monte Carlo simulations proof of theorem 1. Part 9 B-fuzzy stochastics, C.A. Drossos et al: preliminaries basic results B-fuzzy structures B-fuzzy statistics. Part 10 Detecting jumps in nonparametric regression, Ch. Dubowik and U. Stadtmuller: the proposed model new results simulations appendix. (Part contents).
Design of two-dimensional channels with prescribed velocity distributions along the channel walls

A general method of design is developed for two-dimensional unbranched channels with prescribed velocities as a function of arc length along the channel walls. The method is developed for both compressible and incompressible, irrotational, nonviscous flow and applies to the design of elbows, diffusers, nozzles, and so forth. In part I solutions are obtained by relaxation methods; in part II solutions are obtained by a Green's function. Five numerical examples are given in part I including three elbow designs with the same prescribed velocity as a function of arc length along the channel walls but with incompressible, linearized compressible, and compressible flow. One numerical example is presented in part II for an accelerating elbow with linearized compressible flow, and the time required for the solution by a Green's function in part II was considerably less than the time required for the same solution by relaxation methods in part I.
Testing of spin ordering Hamiltonian with ultracold atoms in optical lattices

Laser cooling and trapping are now widely used in atomic physics laboratory. Interestingly, cold atoms in optical lattices are now used in advanced research to mimic phenomena in condensed matter physics and also as a test laboratory for the models of these phenomena. It follows then that it is now possible and necessary to advance the atomic physics laboratory by including the use of ultracold atoms in optical lattices for instructional contents of phenomena in condensed matter physics. In this paper, we have proposed how to introduce into the atomic physics laboratory the study of quantum magnetism with cold atoms in a double well optical lattice. In particular, we demonstrates how to compare the theoretical parameters of a spin Hamiltonian model with those extracted from spin ordering experiment.