Miracle-dz/UniFAR-FTUs huggingface dataset:
Conceptualisation of an Ecodesign Framework for Sustainable Food Product Development across the Supply Chain

As the world population grows, the pressure to intensify an unsustainable food production system increases. At the same time, one-third of all the food produced is lost or wasted along the value chains. Therefore, it is crucial to develop methods to increase food production while decreasing resource usage and minimising the environmental impact. Ecodesign concepts have already been implemented in various sectors, reducing the environmental impact of products. However, published work has yet to analyse the potential of ecodesign for food production across the value chain. This review assesses the existing literature on ecodesign principles and proposes a conceptual framework of strategies to be applied to current food chains, addressing the challenges posed by current agrifood systems. We suggest that the relevant ecodesign principles fall into three main categories depending on the supply chain stage: “design for sustainable sourcing (DfSS)”, “design for optimised resource use (DfORU)”, and “design for end-of-life optimisation (DfEO). ” Applying this framework across the supply chain could significantly reduce the environmental impact of food production and indirectly contribute to dietary change.
A Theoretical Study of MgNC and MgCN in the X̃2Σ+ Electronic State

Abstract The MgNC radical was the first Mg-containing species to be observed in interstellar space. This fact has stimulated considerable spectroscopic interest in this molecule, and in its isomer MgCN, but nevertheless the only rotationally resolved spectroscopic data presently available for X2Σ+ MgNC comprise the rotational spectrum (K. Kawaguchi et al., 1993, Astrophys. J.406, L39–L42; K. Ishii et al., 1993, Astrophys. J.410, L43–L44; M. A. Anderson and L. M. Ziurys, 1994, Chem. Phys. Lett.231, 164–170; E. Kagi et al., 1996, J. Chem. Phys.104, 1263–1267; E. Kagi and K. Kawaguchi, J. Mol. Spectrosc. 2000, 199, 309–310) together with a few vibronic bands, all originating in the vibronic ground state and belonging to the A2Π←X2Σ+ electronic transition (R. R. Wright and T. A. Miller, 1999, J. Mol. Spectrosc.194, 219–228). For MgCN, only the rotational spectrum in the vibrational ground state is known (M. A. Anderson, T. C. Steimle, and L. M. Ziurys, 1994, Astrophys. J.429, L41–L44). We report here potential energy surfaces calculated by the Averaged Coupled-Pair Functional (ACPF) method with TZ3P+f (Mg), TZ2P+f(N,C) basis sets including core-valence correlation due to the Mg 2s and 2p electrons. The ab initio results are used for determining the standard spectroscopic constants of X2Σ+ MgNC and MgCN. Also, we report variational calculations of the rotation–vibration energies, and variational simulations of the lowest rotation–vibration bands, carried out with the MORBID program system (P. Jensen, 1988, J. Mol. Spectrosc.128, 478–501). We hope that our theoretical results will encourage and facilitate further characterization of X2Σ+ MgNC and MgCN by high-resolution spectroscopy.
Effective microbial molecular diagnosis of periodontitis-related pathogen Porphyromonas gingivalis from salivary samples using rgpA gene

Importance of accurate molecular diagnosis and quantification of particular disease-related pathogenic microorganisms is highlighted as an introductory step to prevent and care for diseases. In this study, we designed a primer/probe set for quantitative real-time polymerase chain reaction (qRT-PCR) targeting rgpA gene, known as the specific virulence factor of periodontitis-related pathogenic bacteria ‘Porphyromonas gingivalis’, and evaluated its diagnostic efficiency by detecting and quantifying relative bacterial load of P. gingivalis within saliva samples collected from clinical subjects. As a result of qRT-PCR, we confirmed that relative bacterial load of P. gingivalis was detected and quantified within all samples of positive control and periodontitis groups. On the contrary, negative results were confirmed in both negative control and healthy groups. Additionally, as a result of comparison with next-generation sequencing (NGS)–based 16S metagenome profiling data, we confirmed relative bacterial load of P. gingivalis, which was not identified on bacterial classification table created through 16S microbiome analysis, in qRT-PCR results. It showed that an approach to quantifying specific microorganisms by applying qRT-PCR method could solve microbial misclassification issues at species level of an NGS-based 16S microbiome study. In this respect, we suggest that P. gingivalis–specific primer/probe set introduced in present study has efficient applicability in various oral healthcare industries, including periodontitis-related microbial molecular diagnosis field.
Association of Circulating Caprylic Acid with Risk of Mild Cognitive Impairment and Alzheimer’s Disease in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Cohort

Objective Medium-chain fatty acids (MCFAs) can rapidly cross the blood-brain barrier and provide an alternative energy source for the brain. This study aims to determine 1) whether plasma caprylic acid (C8:0) is associated with risk of incident mild cognitive impairment (MCI) among baseline cognitively normal (CN) participants, and incident Alzheimer’s Disease (AD) among baseline MCI participants; and 2) whether these associations differ by sex, comorbidity of cardiometabolic diseases, apolipoprotein E (APOE) ε4 alleles, and ADAS-Cog 13. Methods Within the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort, plasma C8:0 was measured at baseline in 618 AD-free participants aged 55 to 91. Logistic regression models were used to estimate odds ratios (ORs) and 95% CIs with incident MCI and AD as dependent variables, separately. Results The inverse association between circulating C8:0 and risk of incident MCI was of borderline significance. The inverse association between circulating levels of C8:0 and risk of incident MCI was significant among CN participants with ≥1 cardiometabolic diseases [OR (95% CI): 0.75 (0.58–0.98) (P=0.03)], those with one copy of APOE ε4 alleles [OR (95% CI): 0.43 (0.21–0.89) (P=0.02)], female [OR (95% CI): 0.60 (0.38–0.94) (P=0.02)], and ADAS-Cog 13 above the median [OR (95%CI): 0.69 (0.50–0.97)(P=0.03)] after adjusting for all covariates. Conclusion The inverse associations were present only among subgroups of CN participants, including female individuals, those with one or more cardiometabolic diseases, or one APOE ε4 allele, or higher ADAS-Cog 13 scores. If confirmed, this finding will facilitate precision prevention of MCI, in turn, AD among CN older adults.
Retrospective review on tenolysis after phalangeal fractures: A Hong Kong local center experience

Background/Purpose: This is a local retrospective review on the outcomes of tenolysis after phalangeal fracture. Methods: The clinical outcome of nine patients (mean age 51.9 years) with finger fractures and subsequent tenolysis performed were reviewed. Range of motion was evaluated. Results: Extensor tenolysis, capsulotomy with or without flexor tenolysis was performed at a mean of 8.2 months after hand fracture with fracture fixation done. The total active motion (TAM) improved from 121° preoperatively to 173° postoperatively (p = 0.02). Significant improvement of motion was observed at the proximal interphalangeal joint (p = 0.012). All patient's range of motion improved after surgery. Conclusion: The gain of motion of 52° is comparable to other series. Release of all pathological anatomy and aggressive mobilization may improve the result further. Tenolysis can provide an encouraging improvement of active motion for stiff finger after phalangeal fractures. Recent results using WALANT technique showed satisfactory outcome. Future study on WALANT technique may further consolidate its potential benefit.
Scene classification based on multifeature probabilistic latent semantic analysis for high spatial resolution remote sensing images

Abstract. Scene classification can mine high-level semantic information scene categories from low-level visual features for high spatial resolution remote sensing images (HSRIs). A multifeature probabilistic latent semantic analysis (MPLSA) algorithm is proposed to perform the task of scene classification for HSRIs. Distinct from the traditional probabilistic latent semantic analysis (PLSA) with a single feature, to utilize the spatial information of the HSRIs, in MPLSA, multiple features, including spectral and texture features, and the scale-invariant feature transform feature, are combined with PLSA. The visual words are characterized by the multifeature descriptor, and an image set is represented by a discriminative word-image matrix. During the training phase, the MPLSA model mines the visual words’ latent semantics. For unknown images, the MPLSA model analyzes their corresponding latent semantic distributions by combining the words’ latent semantics obtained from the training step. The spectral angle mapper classifier is utilized to label the scene class, based on the image’s latent semantic distribution. The experimental results demonstrate that the proposed MPLSA method can achieve better scene classification accuracy than the traditional single-feature PLSA method.
Thunderstorm prediction based on Bayesian classification method

To test the application effect of Bayesian classification method in thunderstorm forecasting,WRF numerical forecast products and the corresponding observational data of a single station in August from 2003 to 2006 were used,and Naive Bayesian classifier(N-Bayes) and Bayesian discriminance criterion(D-Bayes) were adopted.Combined with predictors choosing technics using deep convectional weather indices,Fisher criterion and correlation coefficient method,thunderstorm forecasting models of the three stations were established in Zhangping,Guangzhou and Zhanjiang.By use of the data in August 2007,the forecasting models were not only experimented and tested but also compared with the results of the Fisher Discriminance criterion method.The results indicate that the critical success indexes(CSI) of the N-Bayes and D-Bayes model for 24 h to 48 h thunderstorm forecasting are more than 0.23,with more than 72% accuracy,that the 6 h interval CSIs of two Bayesian methods within the same forecasting period are close in magnitude and have similar variation;and that both the two models are superior to Fisher discriminance criterion method in forecasting efficiency.
Robust Adaptive Backstepping Control of Quadrotors With Unknown Input Gains

Robust adaptive tracking control design for quadrotors with unknown parameters, including the thrust and the drag factors, is presented. Firstly, the adaptive linearizing control approach is employed for conquering the issues of unknown input gains in both the outer- and inner-loop design steps. Secondly, based on the barrier Lyapunov function (BLF) method, a robust virtual controller is constructed in the intermediate design step for counteracting the coupling nonlinearity and speeding up the convergence at the same time. Thirdly, the dynamic surface control (DSC) technique is applied for alleviating the measurement of acceleration signals and explosion of complexity problem simultaneously. Last, the serial-parallel identification model (SPIM) based composite update algorithms are incorporated for further improving the tracking performance. In particular, the prediction errors are ensured to converge to the vicinity of zero without relying on the parameter convergence. Simulation studies demonstrating its validity are carried out in the final.
Tumor-Suppressive Functions of the Aryl Hydrocarbon Receptor (AhR) and AhR as a Therapeutic Target in Cancer

Simple Summary Cancer is driven by the excessive activity of growth-promoting genes and deficient activity of the genes that restrain cell growth. Genes that suppress cell growth possess tumor-suppressive activity. Knowing how these tumor-suppressive genes function and pharmacological methods to restore or elicit their growth-inhibiting activity is of keen interest for therapeutic development. The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor, and the activation of AhR by different molecules drives a wide range of biological effects, with both adverse and beneficial outcomes. Certain molecules that bind to AhR elicit tumor-suppressive effects (e.g., selective growth inhibition of cancer cells, apoptosis). Loss of AhR expression leads to increased tumorigenesis in different mouse models. Therapeutic targeting of the receptor requires insights into the molecular mechanisms that lead to tumor suppression, the determinants of the response to AhR ligands, and the cancer types that are responsive to AhR-selective modulators. Abstract The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor involved in regulating a wide range of biological responses. A diverse array of xenobiotics and endogenous small molecules bind to the receptor and drive unique phenotypic responses. Due in part to its role in mediating toxic responses to environmental pollutants, AhR activation has not been traditionally viewed as a viable therapeutic approach. Nonetheless, the expression and activation of AhR can inhibit the proliferation, migration, and survival of cancer cells, and many clinically approved drugs transcriptionally activate AhR. Identification of novel select modulators of AhR-regulated transcription that promote tumor suppression is an active area of investigation. The development of AhR-targeted anticancer agents requires a thorough understanding of the molecular mechanisms driving tumor suppression. Here, we summarized the tumor-suppressive mechanisms regulated by AhR with an emphasis on the endogenous functions of the receptor in opposing carcinogenesis. In multiple different cancer models, the deletion of AhR promotes increased tumorigenesis, but a precise understanding of the molecular cues and the genetic targets of AhR involved in this process is lacking. The intent of this review was to synthesize the evidence supporting AhR-dependent tumor suppression and distill insights for development of AhR-targeted cancer therapeutics.
A Secondary Zone of Uplift Measured After Megathrust Earthquakes: Caused by Early Downdip Afterslip?

A secondary zone of surface uplift (SZU), located from 200 to 400 km landward of the trench, has been measured after several megathrust earthquakes. The SZU reached a few centimeters hours to days after the 2011 Mw 9.1 Tohoku (Japan) and 2010 Mw 8.8 Maule (Chile) earthquakes. Published coseismic finite‐fault models for these events do not reproduce the measured SZU. One interpretation is that this SZU is universal, driven by volume deformation around the slab interface (van Dinther et al., 2019, https://doi.org/10.1007/s00024-019-02250-z). In contrast, we demonstrate the SZU may instead result from slip on the slab interface, and suggest it might be caused by rapid afterslip. We can reproduce the SZU with fault slip if elastic heterogeneities associated with the subducting slab are accounted for, as opposed to assuming homogeneous or layered elastic lithospheric structures.
Cauchy-type integral formula and Plemelj formula of hypermonogenic functions on unbounded domains

In this paper, we discuss the Cauchy-type integral formula of hypermonogenic functions on unbounded domains in real Clifford analysis, then we extend the Plemelj formula and Cauchy–Pompeiu formula of hypermonogenic functions on bounded domains to unbounded domains. We also deal with the Green-type formula on unbounded domains and get several important corollaries.
Consensus protocol for heterogeneous multi-agent systems: A Markov chain approach

This paper deals with the consensus problem for heterogeneous multi-agent systems. Different from most existing consensus protocols, we consider the consensus seeking of two types of agents, namely, active agents and passive agents. The objective is to directly control the active agents such that the states of all the agents would achieve consensus. In order to obtain a computational approach, we subtly introduce an appropriate Markov chain to cast the heterogeneous systems into a unified framework. Such a framework is helpful for tackling the constraints from passive agents. Furthermore, a sufficient and necessary condition is established to guarantee the consensus in heterogeneous multi-agent systems. Finally, simulation results are provided to verify the theoretical analysis and the effectiveness of the proposed protocol.
Survival Differences by Comorbidity Burden among Patients with Stage I/II Non-Small-Cell Lung Cancer after Thoracoscopic Resection

Simple Summary There is limited research on the relationship between comorbidity burden and survival among patients with stage I/II non-small-cell lung cancer (NSCLC). Thus, the purpose of this study was to compare survival by comorbidity burden among stage I/II NSCLC patients who have received thoracoscopic surgery as their primary treatment. We found that increasing comorbidity burden was associated with a higher risk of all-cause mortality and that the impact of comorbidity on survival was stronger in female patients with NSCLC than in male patients. These findings highlight the importance of considering comorbidities to optimize the selection of candidates for thoracoscopic resection. Abstract We sought to compare overall survival (OS) by comorbidity burden among patients with stage I/II non-small cell lung cancer (NSCLC) who received thoracoscopic resection. Utilizing data from the National Cancer Database, we conducted a survival analysis among patients aged 50+ with stage I/II NSCLC who received thoracoscopic resection between 2010 and 2017. The comorbidity burden was measured by the Charlson comorbidity index (CCI, 0, 1, 2+). Multivariable Cox proportional hazard models were used to compare overall survival relative to the CCI (CCI of 0 as the referent). Subgroup analyses were conducted considering sex, age groups, days from diagnosis to surgery, facility type, laterality, and type of surgery. For this study, 61,760 patients were included, with a mean age of 69.1 years (SD: 8.5). Notably, 51.2% had a CCI of 0, 31.8% had a CCI of 1, and 17.0% had a CCI of 2+. Most participants were non-Hispanic White (87.5%), and 56.9% were female. We found that an increase in the CCI was associated with a higher risk of all-cause mortality (CCI 1 vs. 0 aHR: 1.24, 95% CI: 1.20–1.28; CCI 2+ vs. 0 aHR: 1.51, 95% CI: 1.45–1.57; p-trend < 0.01). Our subgroup analysis according to sex suggested that the association between CCI and risk of death was stronger in women.
Giant cell tumor of sacral vertebra in an adolescent without neurodeficit: A case report and review of the literature

Background: Giant cell tumors (GCTs) are locally aggressive benign primary bone tumors that rarely occur in the spine. Their treatment methods include denosumab, bisphosphonates, and/or different surgical techniques. Here, we present the successful treatment of a sacral GCT in a 13 years old. Case Description: A 13-year-old male presented with back pain and paraparesis of 3-week duration. Radiological studies demonstrated an S1 lytic lesion. He underwent an excisional biopsy and anterior and posterior resection combined with a lumbopelvic fusion. One year later, there has been no tumor recurrence. Conclusion: We successfully treated an S1 sacral GCT in a 13-year-old male utilizing a wide anteriorand posterior excision combined with a lumbopelvic fusion.
Synchronization of a class of uncertain chaotic systems

This paper presents an active control method for synchronization of two uncertain chaotic systems with parameters perturbation.A controller is designed to eliminate the nonlinear parts with the active control method.Based on Gerschgorin′s theorem in matrix theory,some simple generic criterions of global synchronization between two chaotic systems are established.To demonstrate the robustness and effectiveness of the proposed control strategy,it is applied to Lorenz systems and perfect simulation results are obtained.
Effects of Chinese Yam Polysaccharide on Intramuscular Fat and Fatty Acid Composition in Breast and Thigh Muscles of Broilers

The purpose of this study is to evaluate the influences of Chinese yam polysaccharide (CYP) dietary supplementation on the composition of intramuscular fat (IMF) and fatty acids (FA) in thigh and breast muscles of broilers. Three hundred and sixty healthy one-day-old broilers (the breed of Crossbred chicken is named 817) with gender-balanced and similar body weight (39 ± 1 g) were randomly allocated into four groups (control, CYP1, CYP2, and CYP3 groups). Broilers in the control group were only fed a basal diet, and broilers in CYP1 group were fed the same diets further supplemented with 250 mg/kg CYP, the CYP2 group was fed the same diets further supplemented with 500 mg/kg CYP, and the CYP3 group was fed the same diets further supplemented with 1000 mg/kg CYP, respectively. Each group consisted of three replicates and each replicate consisted of 30 birds. The feeding days were 48 days. The results observed that the CYP2 group (500 mg/kg) can up-regulate the mRNA expression levels of β-catenin in thigh muscle compared to the control group. At the same time, all CYP groups (CYP1, CYP2, and CYP3 groups) can up-regulate mRNA expression of Wnt1 and β-catenin in breast muscle, while mRNA expression of PPARγ and C/EBPα in breast and thigh muscles could be down-regulated (p < 0.05). In summary, 500 mg/kg of CYP dietary supplementation can reduce IMF content and improve the FAs composition, enhancing the nutritional value of chicken meat.
The Prediction of Neurological Prognosis for Cervical Spondylotic Myelopathy Using Diffusion Tensor Imaging

Objective Although cervical spondylotic myelopathy (CSM) can be easily diagnosed using magnetic resonance imaging (MRI), prediction of surgical effect using preoperative radiological examinations remains difficult. In previous studies, it was reported that diffusion tensor imaging (DTI) may be used for the prediction of surgical effect; however, these studies did not consider the influences of spinal cord compression even though the values of DTI indexes can be distorted by compressive lesions in patients with CSM. Therefore, it is uncertain whether preoperative DTI indexes can actually predict the surgical effect. The aim of this study was to investigate DTI metrics that are hardly affected by spinal cord compression and can accurately predict neurological status after decompressive surgery. Methods Twenty-one patients with CSM who underwent surgery and 10 healthy volunteers were enrolled in this study. The subjects underwent cervical MRI, and values of DTI indexes including axial diffusivity (AD), radial diffusivity (RD), apparent diffusion coefficient (ADC), and fractional anisotropy (FA) were recorded at each intervertebral level. Further, the Japanese Orthopaedic Association (JOA) score of each patient with CSM was recorded before and after surgery for neurological status evaluation. Preoperative and postoperative values of DTI indexes were compared, and correlations between preoperative DTI parameters and postoperative neurological recovery were assessed. Results After surgery, the lesion-adjacent (LA) ratios of RD and ADC increased (p = 0.04 and p = 0.062, respectively), while the LA ratio of FA decreased (p = 0.075). In contrast, the LA ratio of AD hardly changed. A negative correlation was observed between preoperative LA ratio of AD and JOA recovery rate 6 months after surgery (r = -0.379, p = 0.091). Based on preoperative LA ratio of AD, the patients were divided into a low AD group and a high AD group, and JOA recovery rate 6 months after surgery was found to be higher in the low AD group than in the high AD group (p = 0.024). Conclusion In patients with CSM, preoperative LA ratio of AD is seldom affected by spinal cord compression, and it negatively correlates with JOA recovery rate 6 months after surgery.