Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Industrial Agglomeration on Supply Chain Efficiency in Manufacturing

The 20th National Congress of the Communist Party of China pointed out that China's high-quality economic development needed to improve the stability and resilience of the supply chain. And the improvement of manufacturing supply chain efficiency affected markedly on this. Firstly, this paper quantified the supply chain efficiency by using the three-stage DEA model, and established an evaluation system of digital capability from the perspective of green economy. Secondly, the bidirectional fixed effect model was used to further analyze the influence of specialized agglomeration, diversified agglomeration on supply chain efficiency and the moderating effect of digital capability. Based on the above, the conclusion was drawn specialized agglomeration and diversified agglomeration affected positively on manufacturing supply chain efficiency, and digital capability moderated them positively. Then, the result of the robustness analysis showed the model is robust. Finally, this paper put forward suggestions from the aspects of government and enterprise, advocating the development of specialized agglomeration, diversified agglomseration and digital capability.
DeepBoot: Dynamic Scheduling System for Training and Inference Deep Learning Tasks in GPU Cluster

Deep learning tasks (DLT) include training and inference tasks, where training DLTs have requirements on minimizing average job completion time (JCT) and inference tasks need sufficient GPUs to meet real-time performance. Unfortunately, existing work separately deploys multi-tenant training and inference GPU cluster, leading to the high JCT of training DLTs with limited GPUs when the inference cluster is under insufficient GPU utilization due to the periodic inference workload. DeepBoot solves the challenges by utilizing idle GPUs in the inference cluster for the training DLTs. Specifically, 1) DeepBoot designs adaptive task scaling (ATS) algorithm to allocate GPUs in the training and inference clusters for training DLTs and minimize the performance loss when reclaiming inference GPUs. 2) DeepBoot implements auto-fast elastic (AFE) training based on Pollux to reduce the restart overhead by inference GPU reclaiming. Our implementation on the testbed and large-scale simulation in Microsoft deep learning workload shows that DeepBoot can achieve 32% and 38% average JCT reduction respectively compared with the scheduler without utilizing idle GPUs in the inference cluster.
Effects of grid geometry on non-equilibrium dissipation in grid turbulence

A total of 11 grids in four families, including single- and multi-scale grids, are tested to investigate the development and decay characteristics of grid-generated turbulence. Special attention has been focused on dissipation and non-equilibrium characteristics in the decay region. A wide non-equilibrium region is observed for fractal square grids with three and four iterations. The distributions of the Taylor microscale λ, integral length scale Lu, and dissipation coefficient C e show that a simple combination of large and small grids does not reproduce elongated non-equilibrium regions as realized by the fractal square grid. On the other hand, a new kind of grid, quasi-fractal grids, in which the region of the smaller fractal elements ( N = 2 – 4 ) of the fractal square grid is replaced by regular grids, successfully reproduce a similar flow field and non-equilibrium nature to that seen in the fractal square grid case. This suggests that the combination of large square grid and inhomogeneously arranged.
Ensembles fermés de nombres algébriques

© Séminaire Dubreil. Algèbre et théorie des nombres (Secrétariat mathématique, Paris), 1965-1966, tous droits réservés. L’accès aux archives de la collection « Séminaire Dubreil. Algèbre et théorie des nombres » implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
CuO Single-Nanowire Printed Devices for Volatile Organic Compounds (VOCs) Detection

This work reports the copper oxide (CuO) single nanowire (SNW) based devices for the detection of volatile organic compounds (VOCs). Fabrication involves the synthesis of CuO nanowires by thermal oxidation of copper. The SNW back-to-back Schottky diode electrodes are fabricated by microcantilever contact print (<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>CCP) of silver nanoparticles (AgNP) on Si-SiO <inline-formula><tex-math notation="LaTeX">$_{2}$</tex-math></inline-formula> substrate. Devices with channel lengths 10, 20, and 30 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m are employed to detect VOCs such as ethanol, acetone, and 2-propanol, etc., with concentrations ranging from 25–100 ppm. Sensing is carried out at room temperature, 150 <inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C, and in white light (1 mWcm<inline-formula><tex-math notation="LaTeX">$^{-2}$</tex-math></inline-formula>). The device exhibits a maximum response of 1.1% and 4.86% under various operating conditions with a limit of detection (LOD) of 15.4 ppm. The device has limited performance, but is stable for four months.
Effects of Sleep Deprivation on Performance during a Change Signal Task with Adaptive Dynamics

Augmented cognition, which refers to real-time modifications to a human–system interface to improve performance and includes dynamic task environments with automated adaptations, can serve to protect against performance impairment under challenging work conditions. However, the effectiveness of augmented cognition as a countermeasure for performance impairment due to sleep loss is unknown. Here, in a controlled laboratory study, an adaptive version of a Change Signal task was administered repeatedly to healthy adults randomized to 62 h of total sleep deprivation (TSD) or a rested control condition. In the computerized task, a left- or right-facing arrow was presented to start each trial. In a subset of trials, a second arrow facing the opposite direction was presented after a delay. Subjects were to respond within 1000 ms of the trial start by pressing the arrow key corresponding to the single arrow (Go trials) or to the second arrow when present (Change trials). The Change Signal Delay (CSD)—i.e., the delay between the appearance of the first and second arrows—was shortened following incorrect responses and lengthened following correct responses so that subsequent Change trials became easier or harder, respectively. The task featured two distinct CSD dynamics, which produced relatively stable low and high error rates when subjects were rested (Low and High Error Likelihood trials, respectively). During TSD, the High Error Likelihood trials produced the same, relatively high error rate, but the Low Error Likelihood trials produced a higher error rate than in the rested condition. Thus, sleep loss altered the effectiveness of the adaptive dynamics in the Change Signal task. A principal component analysis revealed that while subjects varied in their performance of the task along a single dominant dimension when rested, a second inter-individual differences dimension emerged during TSD. These findings suggest a need for further investigation of the interaction between augmented cognition approaches and sleep deprivation in order to determine whether and how augmented cognition can be relied upon as a countermeasure to performance impairment in operational settings with sleep loss.
VEGF Detection via Impedance Spectroscopy on Surface Functionalized Interdigitated Biosensor

Vascular endothelial growth factor (VEGF), a clinically important biomarker, often plays a key role in angiogenesis, would healing, tumor growth, lung development, and in retinal diseases. Hence, detecting and quantifying VEGF is deemed medically important in clinical diagnosis for many diseases. In this report, a simple yet highly cost-effective platform was proposed for VEGF protein detection using commercially available interdigitated sensors that are surface modified to present DNA optimally for VEGF capture. The dielectric characteristics between the fingers of the sensor were modulated by the negatively charged aptamer-VEGF capture, and the impedance was estimated using an impedance analyzer. Impedance-spectra tests were compared among pristine unmodified surfaces, functionalized monolayer surfaces, and aptamer-grafted surfaces in order to evaluate the efficacy of VEGF detection. From our results, the sensitivity experiments as conducted showed the ability of the interdigitated sensor to detect VEGF at a low concentration of 5 pM (200 pg/mL). The specificity of the functionalized sensor in detecting VEGF was further examined by comparing the impedance to platelet-derived growth factor, and the results confirm the specificity of the sensor. Finally, the Nyquist plot of impedance spectra was also presented to help data visualization and the overall performance of the device was found to be a highly suitable template for a smart biosensor for the detection of VEGF.
Numerical Analysis of Baffle Cut on Shell Side Heat Exchanger Performance with Inclined Baffles

ABSTRACT In this work, an attempt has been made to decrease the pressure drop and to increase the heat transfer rate in a shell and tube heat exchanger (STHX) by tilting the baffle angle and by varying the baffle cut. The process of solving the simulation includes modeling, meshing, and analyzing the geometry of the STHX by using Pro-E, hypermesh, and computational fluid dynamics package of ANSYS Fluent, respectively. The objective of this study is to find a suitable baffle inclination and baffle cut for the efficient performance of the STHX. The baffle inclinations of 25°, 30°, 35°, and 40° were considered for three different baffle cuts of 25%, 30%, and 35% of shell inside diameter and the results were compared with segmental baffle of inclination angle 0°. The shell side flow with different inclination angles and baffle cuts results in a significant variation in heat transfer rate and pressure drop in the STHX. The results provide a clear idea that the heat transfer rate is maximum in inclined baffle heat exchanger compared to that of segmental baffle heat exchanger. Further it is found that the STHX with the configuration of 35º baffle inclination angle and baffle cut of 30% of shell inside diameter provides higher heat transfer rate with minimum pressure drop compared to all other configurations.
A reactive oxygen species–related signature to predict prognosis and aid immunotherapy in clear cell renal cell carcinoma

Background Clear cell renal cell carcinoma (ccRCC) is a malignant disease containing tumor-infiltrating lymphocytes. Reactive oxygen species (ROS) are present in the tumor microenvironment and are strongly associated with cancer development. Nevertheless, the role of ROS-related genes in ccRCC remains unclear. Methods We describe the expression patterns of ROS-related genes in ccRCC from The Cancer Genome Atlas and their alterations in genetics and transcription. An ROS-related gene signature was constructed and verified in three datasets and immunohistochemical staining (IHC) analysis. The immune characteristics of the two risk groups divided by the signature were clarified. The sensitivity to immunotherapy and targeted therapy was investigated. Results Our signature was constructed on the basis of glutamate-cysteine ligase modifier subunit (GCLM), interaction protein for cytohesin exchange factors 1 (ICEF1), methionine sulfoxide reductase A (MsrA), and strawberry notch homolog 2 (SBNO2) genes. More importantly, protein expression levels of GCLM, MsrA, and SBNO2 were detected by IHC in our own ccRCC samples. The high-risk group of patients with ccRCC suffered lower overall survival rates. As an independent predictor of prognosis, our signature exhibited a strong association with clinicopathological features. An accurate nomogram for improving the clinical applicability of our signature was constructed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that the signature was closely related to immune response, immune activation, and immune pathways. The comprehensive results revealed that the high-risk group was associated with high infiltration of regulatory T cells and CD8+ T cells and more benefited from targeted therapy. In addition, immunotherapy had better therapeutic effects in the high-risk group. Conclusion Our signature paved the way for assessing prognosis and developing more effective strategies of immunotherapy and targeted therapy in ccRCC.
Determinants of Behavioral Intentions to Use E-Wallet Services in the City of Padang

This study aims to analyze the effect of perceived usefulness and perceived ease of use on behavioral intention to use with an attitude toward using as an intervening variable on the use of e-wallet services in Padang City. The type of research used in this research is explanatory research, with the research method being an explanatory survey that emphasizes quantitative methods. the sample155 millennials are users of e-wallet services in the city of Padang. The sampling technique was purposive sampling. The data analysis method uses Structural Equation Modelling - Partial Least Square (SEM-PLS). The research results show that perceived usefulness significant positive effect on attitude toward using. Perceived ease of use has a significant positive effect on attitude toward using. Perceived usefulness has a significant positive effect on behavioral intention to use. Perceived ease of use negatively has no significant effect on behavioral intention to use. Attitude toward using has a significant positive effect on behavioral intention to use. Perceived positive usefulness has no significant effect on behavioral intention to use with attitude toward using as an intervening variable. Perceived ease of use has a significant positive effect on behavioral intention to use with attitude toward using as an intervening variable.
Dynamic surface completion : the joint formation of color, texture, and shape

Dynamic surface completion is a phenomenon of visual filling-in where a colored pattern perceptually spreads onto an area confined by virtual contours in a multi-aperture motion display. The spreading effect is qualitatively similar to static texture spreading but widely surpasses it in strength, making it particularly suited for quantitative studies of visual interpolation processes. I carried out six experiments to establish with objective tasks that homogeneous color, as well as non-uniform texture spreading is a genuine representation of surface qualities and thus goes beyond mere contour interpolation. The experiments also serve to relate the phenomena to ongoing discussions about potentially responsible mechanisms for spatiotemporal integration: With a phenomenological method, I examined to what extent simple sensory persistence might be causally involved in the effect under consideration. The findings are partially consistent with the idea of sensory persistence, and indicate that information fragments are integrated over a time window of about 100 to 150 ms to form a complete surface representation.
Antineoplastic effects of sodium dichloroacetate and omeprazole, alone or in combination, on canine oral mucosal melanoma cells

Oral mucosal melanoma (OMM) is a common neoplasm in canines, although it is rare in humans. Cancer cells present alterations in energetic metabolism, and the Warburg effect states that most cancer cells undergo aerobic glycolysis. This can be reversed by certain drugs, resulting in decreased cell viability and cell death. We sought to evaluate the effects of sodium dichloroacetate (DCA) and omeprazole (OMP) alone or in combination on canine OMM and human melanoma cells. CMGD5 and SK-MEL-28 cell lines were treated with DCA and OMP alone or in combination, and cell viability was assessed using the crystal violet assay. Cell death (apoptosis and necrosis) was assessed by Annexin V and propidium iodide (PI) staining assays using flow cytometry. In addition, the oxygen consumption rate (OCR) was evaluated using a SeaHorse XF assay. Treatment with DCA or OMP alone resulted in a significant, but not dose-dependent, reduction in cell viability in both cell lines; however, the combination of DCA and OMP resulted in a significant and dose-dependent decrease in viability in both cell lines. DCA and OMP, alone or in combination, did not alter OCR at the concentrations tested in either cell line. Since the combination of DCA and OMP potentialized the inhibition of viability and increased cell death in a synergistic manner in melanoma cells, this approach may represent a new repurposing strategy to treat cancer.
Distributed State Estimation of Smart Grids with Packet Losses

This paper explores the problem of distributed state estimation including packet losses for the environment‐friendly renewable microgrid incorporating electricity generating circuits. The problem is becoming critical due to the global warming, increasing green house gas emissions, and practical infeasibility with computational burden of the large‐scale centralized power system monitoring. To address the impending problem, a novel distributed state estimation algorithm is derived in the context of smart grids. Specifically, after modelling the microgrid, this paper proposes a local state estimation algorithm considering packet losses. Then a novel optimal weighting factor calculation method for the global state estimation is proposed. Particularly, it can automatically adjust the optimal weighting factors for different sensor measurements based on the observation. Simulations results show that the desired state estimation accuracy is achieved.
Improvements in the on-orbit calibration of the Terra MODIS short-wave infrared spectral bands

The short-wave infrared (SWIR) bands (5-7, 26) of Terra MODIS, co-located with the mid-wave infrared (MWIR) bands (20-25) on the short and mid-wave infrared (SMIR) Focal Plane Assembly (FPA) have a known issue related to 5.3 μm out-of-band (OOB) thermal leak and electronic crosstalk that was identified prelaunch. Intensive efforts were undertaken shortly after launch to mitigate its impacts on the on-orbit calibration and in turn the level 1B (L1B) products. In order to the isolate the OOB contribution among the SWIR bands, special night time day mode (NTDM) operations have been regularly scheduled to collect Earth scene reflective solar bands (RSB) data during spacecraft night time. As MODIS does not have a spectral band centered at 5.3 μm, measurements from the MODIS Airborne Simulator (MAS) spectrometer field campaigns in the early months after Terra launch were used to help identify band 28 (7.325 μm) as the best surrogate to simulate the radiances at 5.3 μm. As a result, band 28 is used as the sending band for the SWIR crosstalk correction for Terra MODIS. In the case of Aqua MODIS, band 25 (4.52 μm) was found to be more effective as the sending band for the SWIR crosstalk correction. In recent years, the Terra MODIS PV LWIR electronic crosstalk (including band 28), has gradually increased, more significantly after the safe-mode event occurred in Feb, 2016. This accentuated degradation in the PV LWIR performance has also impacted the performance of on-orbit SWIR crosstalk correction algorithm and thus the L1B products. In this paper, we examine the use of band 25 as the sending band for Terra MODIS SWIR crosstalk correction and compare its performance with that based on band 28 as the sending band. Results indicate an improvement in the stability of the on-orbit gain for the SWIR bands and a reduced detector-detector and subframe striping in the L1B products, especially during the period when the PV LWIR electronic crosstalk is more severe.
Evaluation of Factors Affecting Ubiquitous Online Experience Learning Modality during the Near End of COVID-19: A Case Study in the Philippines

The near end of the COVID-19 pandemic has now opened up opportunities in the education sector. Since the pandemic forced universities to conduct virtual classes, different universities were able to develop the platform to accommodate fully online learning, blended learning, and the traditional face-to-face learning. The aim of this study was to evaluate the factors affecting continuous intention to enroll in the ubiquitous online experience (UOX) learning modality among students in the Philippines through the integration of the DeLone and McLean IS Success Model and the UTUAT2 which was simultaneously analyzed using deep learning neural network. After data preprocessing and optimization, results showed that facilitating conditions was the most influential factor affecting continuous intention to enroll in the UOX learning modality, followed by student satisfaction, performance expectancy, behavioral intentions, hedonic motivation, information quality, effort expectancy, system quality, habit, and price value (tuition fee). Universities in the current time presents blended, fully online, and face-to-face learning. With the ubiquitous experience for learning, students in different countries and walks of life may capitalize on this modality which gives greater opportunities for universities to venture with their business in the education sector. Provided in the discussion are the key indicators that may be capitalized by universities for the promotion and strategies to build the UOX learning modality. As far as the results show, sole learning is most preferred by students who are taking this modality and should be prioritized by universities.
Sloshing in a Hele-Shaw cell: experiments and theory

The response of the free liquid surface in a Hele-Shaw cell subjected to a horizontal oscillation is investigated. We study the low-oscillation-amplitude regime and we show, by varying the fluid viscosity, $\unicode[STIX]{x1D708}$ , and the forcing frequency, $\unicode[STIX]{x1D714}$ , that the ratio between the Stokes viscous length, $\sqrt{2\unicode[STIX]{x1D708}/\unicode[STIX]{x1D714}}$ , and the cell thickness greatly affects the amplitude and phase lag of the gravity waves. In particular, the sloshing system undergoes an underdamped/overdamped transition for sufficiently large viscosities. A consistent theoretical model, based on a modification of Darcy’s law to include unsteadiness, is then introduced to rationalize the experimental observations. Contrary to traditional sloshing wave theory, the viscous flow dissipation comes at leading order in the analysis, rather than as a higher-order asymptotic correction to the inviscid sloshing dynamics. The analytical expression for the resonance curves agrees well with experimental results without tunable parameters.