Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Policy for a Multi-product, Dynamic Non-Stationary Inventory Problem

This paper is concerned with a multi-product dynamic nonstationary inventory problem in which the system is reviewed at the beginning of each of a sequence of periods of equal length. The model has the following features. There is a general demand process with no stationarity or independence assumptions, partial or complete backlogging of unfilled demand, a fixed non-negative delivery lag (which may be positive only under complete backlogging), a nonstationary linear ordering cost, a nonstationary holding and shortage cost function, discounting of future costs, and nonstationary restrictions like budget and storage limitations. The objective is to choose an ordering policy that minimizes the expected discounted costs over an infinite time horizon. Conditions are given that ensure that the base stock ordering policy is optimal and that the base stock levels in each period are easy to calculate.
The Important of Supply Chain Resilience During Covid-19 Pandemic For Enterprise Risk Management: A Systematic Literature Review

During the Covid-19 pandemic, supply chain resilience becomes promising possibilities to mitigate enterprise from disruption risk. For this reason, this paper comprehensively presents a systematic review of the recent technological progress in the presence of supply chain resilience while addressing the important link between supply chain risk and enterprise business. Practitioners and researchers can benefit from our survey since it introduces a structure analysis and recommendations as to which key drivers of the supply chain resilience can be used at different types of enterprises regarding the property of risk management. The implications and limitations of existing supply chain resilience literature are also discussed.
Armature Reaction on Implementation of Embedded Magnetic Encoder in Fractional-Slot Concentrated-Winding Permanent Magnet Machines

The linear Hall sensor-based embedded magnetic encoder features promising industrial applications due to the advantages of low cost, space saving, and relatively high precision and reliability. However, the linear hall signals, produced by linear Hall sensors installed at stator slot openings, are influenced by both permanent magnet field (PMF) and armature reaction field (ARF) under on-load condition. Normally, the PMF is used to estimate the rotor angle, whereas the ARF will deteriorate the accuracy of angle estimation. In this article, for double-layer fractional-slot concentrated-winding (FSCW) surface-mounted permanent magnet synchronous machine (SPMSM), a general analytical model of the ARF at slot openings is proposed. The typical topologies with the slot-pole combinations of 2p = Qs ± 1 and 2p = Qs ± 2 are selected for the analytical derivation, where p is the number of pole pairs and Qs is the number of stator winding slots. Based on the proposed analytical model, it is innovatively proved that the ARF at some specific positions is almost zero in FSCW-SPMSM, providing a reference for the location of linear Hall sensors where the effect of ARF on linear Hall signals can be ignored and the accuracy of position calculation can be improved theoretically. The results are verified by finite element analysis and experiments on a 12s/10p machine.
The promises and pitfalls of functional magnetic resonance imaging hyperscanning for social interaction research

Abstract Social neuroscience combines tools and perspectives from social psychology and neuroscience to understand how people interact with their social world. Here we discuss a relatively new method—hyperscanning—to study real‐time, interactive social interactions using functional magnetic resonance imaging (fMRI). We highlight three contributions that fMRI hyperscanning makes to the study of the social mind: (1) Naturalism: it shifts the focus from tightly‐controlled stimuli to more naturalistic social interactions; (2) Multi‐person Dynamics: it shifts the focus from individuals as the unit of analysis to dyads and groups; and (3) Neural Resolution: fMRI hyperscanning captures high‐resolution neural patterns and dynamics across the whole brain, unlike other neuroimaging hyperscanning methods (e.g., electroencephalogram, functional near‐infrared spectroscopy). Finally, we describe the practical considerations and challenges that fMRI hyperscanning researchers must navigate. We hope researchers will harness this powerful new paradigm to address pressing questions in today's society.
Polyglutamate-based nanoconjugates for image-guided surgery and post-operative melanoma metastases prevention

Rationale: Cutaneous melanoma is the most aggressive and deadliest of all skin malignancies. Complete primary tumor removal augmented by advanced imaging tools and effective post-operative treatment is critical in the prevention of tumor recurrence and future metastases formation. Methods: To meet this challenge, we designed novel polymeric imaging and therapeutic systems, implemented in a two-step theranostic approach. Both are composed of the biocompatible and biodegradable poly(α,L-glutamic acid) (PGA) nanocarrier that facilitates extravasation-dependent tumor targeting delivery. The first system is a novel, fluorescent, Turn-ON diagnostic probe evaluated for the precise excision of the primary tumor during image-guided surgery (IGS). The fluorescence activation of the probe occurs via PGA degradation by tumor-overexpressed cathepsins that leads to the separation of closely-packed, quenched FRET pair. This results in the emission of a strong fluorescence signal enabling the delineation of the tumor boundaries. Second, therapeutic step is aimed to prevent metastases formation with minimal side effects and maximal efficacy. To that end, a targeted treatment containing a BRAF (Dabrafenib - mDBF)/MEK (Selumetinib - SLM) inhibitors combined on one polymeric platform (PGA-SLM-mDBF) was evaluated for its anti-metastatic, preventive activity in combination with immune checkpoint inhibitors (ICPi) αPD1 and αCTLA4. Results: IGS in melanoma-bearing mice led to a high tumor-to-background ratio and reduced tumor recurrence in comparison with mice that underwent surgery under white light (23% versus 33%, respectively). Adjuvant therapy with PGA-SLM-mDBF combined with ICPi, was well-tolerated and resulted in prolonged survival and prevention of peritoneal and brain metastases formation in BRAF-mutated melanoma-bearing mice. Conclusions: The results reveal the great clinical potential of our PGA-based nanosystems as a tool for holistic melanoma treatment management.
Identifying spatio‐temporal trends in seagrass meadows to inform future restoration

Seagrass restoration requires information on a range of factors including site environmental conditions, appropriate planting techniques, and the identification of sites most likely to support seagrass. To address the question of where to focus restoration efforts, a key first step is to identify trends in the spatio‐temporal distribution of seagrasses to identify areas of persistence, loss, and recent gains. Areas of recent recovery (and adjacent areas), can then be targeted by practitioners for assisted recovery and restoration, whilst areas of persistent loss can be avoided. Here we identified the contemporary distribution, density, and species composition of seagrass ecosystems (using Sentinel 2 imagery and supervised object‐based imagery analysis) and integrated these data with historic extents to identify spatio‐temporal trends in seagrass distribution in Western Port, Victoria, Australia. Contemporary classifications demonstrated acceptable accuracies (Overall Accuracy 0.77–0.85, User Accuracy 0.76–0.97) and predicted a contemporary seagrass extent of 222 km2; with 48 km2 of low‐density recovery predicted to have occurred since 1999. Comparisons with historical seagrass extents indicated some seagrass recovery since large‐scale losses in 1983, although some areas of loss were also present. Recovery included a net gain of approximately 95 km2 in the past 20 years and an eastward range expansion; suggesting environmental conditions have improved and are now conducive for restoration efforts in some areas. Results demonstrate that accurate, low‐cost, remote sensing of seagrass ecosystems is possible and show how understanding spatio‐temporal trends can guide the spatial allocation of resources by prioritizing areas for restoration where recovery is beginning to occur.
Aldehyde Dehydrogenase 2 Activator Augments the Beneficial Effects of Empagliflozin in Mice with Diabetes-Associated HFpEF

To ameliorate diabetes mellitus-associated heart failure with preserved ejection fraction (HFpEF), we plan to lower diabetes-mediated oxidative stress-induced 4-hydroxy-2-nonenal (4HNE) accumulation by pharmacological agents that either decrease 4HNE generation or increase its detoxification.A cellular reactive carbonyl species (RCS), 4HNE, was significantly increased in diabetic hearts due to a diabetes-induced decrease in 4HNE detoxification by aldehyde dehydrogenase (ALDH) 2, a cardiac mitochondrial enzyme that metabolizes 4HNE. Therefore, hyperglycemia-induced 4HNE is critical for diabetes-mediated cardiotoxicity and we hypothesize that lowering 4HNE ameliorates diabetes-associated HFpEF. We fed a high-fat diet to ALDH2*2 mice, which have intrinsically low ALDH2 activity, to induce type-2 diabetes. After 4 months of diabetes, the mice exhibited features of HFpEF along with increased 4HNE adducts, and we treated them with vehicle, empagliflozin (EMP) (3 mg/kg/d) to reduce 4HNE and Alda-1 (10 mg/kg/d), and ALDH2 activator to enhance ALDH2 activity as well as a combination of EMP + Alda-1 (E + A), via subcutaneous osmotic pumps. After 2 months of treatments, cardiac function was assessed by conscious echocardiography before and after exercise stress. EMP + Alda-1 improved exercise tolerance, diastolic and systolic function, 4HNE detoxification and cardiac liver kinase B1 (LKB1)-AMP-activated protein kinase (AMPK) pathways in ALDH2*2 mice with diabetes-associated HFpEF. This combination was even more effective than EMP alone. Our data indicate that ALDH2 activation along with the treatment of hypoglycemic agents may be a salient strategy to alleviate diabetes-associated HFpEF.
Simplified homogenization technique for engineering applications

Adapted from the parallel and series connections of materials a homogenization method for the calculation of effective material constants of composite materials is derived. A complex structure is divided into small volumes and each volume represents a different material. Thereby the volume fraction of complex‐formed inclusions can be approximated. Then, considering the position of volumes to each other (parallel / series connection) the effective material constants for elastic and piezoelectric materials are calculated.
Are the Menstrual Characteristics Similar in Adolescent and Adult Women with Cerebral Palsy?

OBJECTIVES: This study aimed to compare the menstrual-health characteristics of adult and adolescent women with cerebral palsy. STUDY DESIGN: This cross-sectional study included 74 women who were diagnosed with cerebral palsy. Among 74 women with cerebral palsy, women between the ages of 10-18 formed the adolescent cerebral palsy group (n= 36), and women between the ages of 19-30 formed the adult cerebral palsy group (n=38). Gross motor function levels of women with cerebral palsy were determined by gross motor function classification system expanded and revised. Menstrual-health characteristics were evaluated with a self-report questionnaire. RESULTS: The median age in the adult cerebral palsy group (23.5 (19-29) years)) was higher than the adolescent cerebral palsy group (16.5 (11-18) years)) (p<0.001). The median age of menarche in the adult cerebral palsy group (14 (7-18) years) was higher than in the adolescent cerebral palsy group (13 (9-17) years)) (p=0.017). The presence of dysmenorrhea in the adolescent cerebral palsy group (35 women with dysmenorrhea) was more common than in the adult group (30 women with dysmenorrhea (p=0.016). The menstrual suppression treatment, length of menstruation, pain onset time, pain duration, pain medicine usage during menstruation, the highest intensity of pain experienced during the menstrual period, number of drugs, use of pain relief methods, number of days absent from school or work, type and the number of menstruation products, presence and the reason of discomfort scores of questions and gross motor function classification system expanded and revised levels were similar in both groups (p>0.05). CONCLUSION: Dysmenorrhea was more prevalent in adolescent women with cerebral palsy than in adults with cerebral palsy. Providing training that raises awareness and behavior-changing education for women with cerebral palsy and their caregivers can help to improve gynecological health.
Advanced techniques for cardiovascular magnetic resonance imaging in cases of irregular motion

Magnetic resonance imaging (MRI) has recently been shown to provide valuable information for image-guided ablation therapy used to treat patients suffering from cardiac arrhythmia. This requires isotropic high resolution anatomical information about complex structures such as atria and pulmonary veins. In addition, the visualisation of fibrotic tissue in the myocardium can be important for treatment planning and assessment. One of the main challenges to obtaining images with a high isotropic resolution is respiratory motion. Although a wide range of different methods to minimise respiratory motion artefacts has been presented, irregular breathing can still lead to unacceptably long scan times and scan abortions. Respiratory motion in patients must also be taken into consideration during the ablation procedure to ensure accurate image guidance. Furthermore, arrhythmia leads to pathological changes in the electrical excitation of the heart. This can cause irregular heart beat variations and result in very long scan times for the functional assessment of the heart in patients suffering from arrhythmia. This thesis presents new MRI methods which overcome these problems and allow for the characterisation and compensation of physiological motion even in patients with highly irregular respiratory and cardiac cycles. A new high resolution 3D whole-heart acquisition scheme is introduced. It reduces scan times by 36% in both volunteers and patients with irregular breathing motion due to a higher respiratory navigator efficiency compared to a commonly used respiratory gating method. Furthermore, this approach not only yields anatomical information but also provides additional respiratory motion information without an increase in scan time. This information can be used to assess, and compensate for, respiratory motion during ablation procedures. This method was also modified for 3D high resolution assessment of myocardial scar tissue which led to a 60.8% increase in navigator efficiency in heart failure patients with irregular breathing. Furthermore, a novel technique to assess cardiac function without ECG using image-based navigation is presented. This allows for a synchronised multi-slice acquisition of the heart without the need of an external ECG and could provide new methods to address arrhythmic heart beats. In conclusion, the approaches detailed in this thesis provide imaging methods which may not only be beneficial for patients suffering from arrhythmia but also improve the accuracy, outcome and procedure time of other percutaneous procedures.
Construction of Unbalanced Engineering Cost Management and Multivariate Statistics System Based on Random Matrix Weight Algorithm

The informatization of engineering cost plays an important role in the cost management and is also one of the important subjects of the informatization in the engineering field. It is the direction of the future project cost management. There is a trend of exponential increase in the information about project cost, which brings a great challenge to cost informatization. On the basis of the construction quantity and cost composition in the process of analyzing the present situation of the project cost, the overall index of the construction quantity and cost is constructed. For bridges and tunnels and to achieve a reasonable index of roadbed, on the basis of considering project at different stages and the demand for different levels of cost management personnel, adopt the method of statistical analysis and neural network, respectively, and set up the project cost fast estimation method and cost prediction model: intelligent prediction model and index system forecasting model. The error analysis and checking calculation of the two models provide the possibility for correctly estimating the engineering quantity and engineering cost in the preliminary design stage. Aiming at the low accuracy of the traditional unbalanced cost data classification algorithm, the dimension of random matrix weight was introduced into the cost data classification. On the basis of analyzing the spatial and temporal characteristics of WAMS measurement data, a high-dimensional random matrix model of WAMS measurement big data was constructed according to the high-dimensional random matrix theory, and a nonequilibrium cost data classification model based on the weighted algorithm of improved fuzzy rules was established. The model is applied to a unit project cost data classification, which verifies the operability of the model and provides a new idea for other units to carry out similar work. Finally, other common problems that should be paid attention to when using multivariate statistical analysis method are put forward.
A Structure Load Performance Integrated Model Method for the Bridge-Type Displacement Amplification Mechanism

The modeling of compliant bridge-type displacement amplification mechanisms has challenges due to the intrinsic coupling of kinematic and mechanical behaviors. A structure load performance integrated model method for the bridge-type displacement amplification mechanism is presented. The established modeling based on Castigliano’s second theorem considers the deformations of all members, the effect of external load and the nonlinear shear effect. Compared to the finite element model (FEM) and existing models, the established modeling precisely predicts significant nonlinearity of the displacement amplification ratio (DAR) with the driving force, strong sensitivity of DAR to the external load and corresponding relationships of structural parameters with DAR, which is the closest to the FEM result over existing models. The variance-based sensitivities of structural parameters to DAR are thoroughly analyzed, indicating that sensitive structure parameters need to be focused on. Modeling applications further prove the reliability and expandability of the proposed model method. The proposed model method can provide support for the design, optimization and control of compliant systems with bridge-type displacement amplification mechanisms.
Antibacterial and Antifungal Sesquiterpenoids: Chemistry, Resource, and Activity

Infectious diseases caused by bacteria and fungi are threatening human health all over the world. It is an increasingly serious problem that the efficacies of some antibacterial and antifungal agents have been weakened by the drug resistance of some bacteria and fungi, which makes a great need for new antibiotics. Sesquiterpenoids, with abundant structural skeleton types and a wide range of bioactivities, are considered as good candidates to be antibacterial and antifungal agents. In the past decades, many sesquiterpenoids were isolated from plants and fungi that exhibited good antibacterial and antifungal activities. In this review, the names, source, structures, antibacterial and antifungal degrees, and mechanisms of sesquiterpenoids with antibacterial and antifungal activity from 2012 to 2022 are summarized, and the structure-activity relationship of these sesquiterpenoids against bacteria and fungi is also discussed.
Preliminary Results on Vibration Damping Properties of Nanoscale-Reinforced Composite Materials

The focus in this paper is an analysis of existing state of the arts directed toward the development of the next generation of vibration damping systems. The research work concentrates on an investigation related to nanoparticles/fibres/tubes-reinforced materials and coatings dynamic characterization and modeling of the fundamental phenomena that control relationships between structure and damping/mechanical properties of the materials. We simulated composite materials using finite element and mesh free methods, using a hollow shell representation of the individual nanotube/fiber. Results of the research work will provide a platform for the development of nanoparticle-reinforced damping materials that are light-weight, vibration and shock resistant. The outcome of the research work is expected to have wide-ranging technical benefits with direct relevance to industry in areas of transportation (aerospace, automotive, rail), electronics and civil infrastructure development.
Epitaxial growth of Sc2O3 films on GaN

Thin films of scandium oxide were epitaxially deposited on GaN via molecular beam epitaxy using elemental Sc and an oxygen plasma. After growth, the Sc2O3 films were annealed at a temperature of 800°C for 5min in the growth chamber. The structural quality of Sc2O3 films, before and after annealing, was characterized using high-resolution x-ray diffraction, atomic force microscopy (AFM), and high-resolution transmission electron microscopy (HRTEM). AFM of the films revealed smooth surfaces with 0.38nm root mean square roughness and show evidence of step-flow growth. The rocking curve and reflectivity scans of the films reveal that the Sc2O3∕GaN interface is abrupt and that it remains so after annealing. Pole figure and grazing incidence θ-2θ measurements show that the films are very textured along the c axis of the GaN substrate. HRTEM produced lattice images of the Sc2O3∕GaN interface illustrating the single crystal growth of the Sc2O3 films on the GaN.
The Structural and Dielectric Properties of BaTi0.88Zr0.12O3 Ceramic

The BaTi0.88Zr0. 12O3 ceramic has been synthesized by using a conventional solid-state reaction method and sintered at 1450 °C in air for 3 hours. The structural and dielectric properties of the sample were investigated. It was found that the sample exhibited tetragonal structure with space group P4mm. The maximum dielectric constant, εr value was obtained at Tc (70 °C) about 2800 measured at 1 kHz. The dielectric peak was broad which might be due to the pinching effect. However, maximum εr value was quite low may be attributed by the Tc and other phase transition point might be not fully coalescence. Another phase transition temperature was vaguely observed around 30 °C to 40 °C. The dielectric properties of the sample were dominated by the grain effect with capacitance values lie within range of 10-10 to 10-9. The SEM images shows that the average grain size of the sample was quite small about 2.9087 μm. It might be due to the contribution of Zr4+ with lower grain growth rate.
The cosmic web in CosmoGrid void regions

Abstract We study the formation and evolution of the cosmic web, using the high-resolution CosmoGrid ΛCDM simulation. In particular, we investigate the evolution of the large-scale structure around void halo groups, and compare this to observations of the VGS-31 galaxy group, which consists of three interacting galaxies inside a large void. The structure around such haloes shows a great deal of tenuous structure, with most of such systems being embedded in intra-void filaments and walls. We use the Nexus+} algorithm to detect walls and filaments in CosmoGrid, and find them to be present and detectable at every scale. The void regions embed tenuous walls, which in turn embed tenuous filaments. We hypothesize that the void galaxy group of VGS-31 formed in such an environment.