Miracle-dz/UniFAR-FTUs huggingface dataset:
Targeting Energy Metabolism in Cancer Treatment

Cancer is the second most common cause of death worldwide after cardiovascular diseases. The development of molecular and biochemical techniques has expanded the knowledge of changes occurring in specific metabolic pathways of cancer cells. Increased aerobic glycolysis, the promotion of anaplerotic responses, and especially the dependence of cells on glutamine and fatty acid metabolism have become subjects of study. Despite many cancer treatment strategies, many patients with neoplastic diseases cannot be completely cured due to the development of resistance in cancer cells to currently used therapeutic approaches. It is now becoming a priority to develop new treatment strategies that are highly effective and have few side effects. In this review, we present the current knowledge of the enzymes involved in the different steps of glycolysis, the Krebs cycle, and the pentose phosphate pathway, and possible targeted therapies. The review also focuses on presenting the differences between cancer cells and normal cells in terms of metabolic phenotype. Knowledge of cancer cell metabolism is constantly evolving, and further research is needed to develop new strategies for anti-cancer therapies.
Causal modelling of the enablers of CPFR for building resilience in manufacturing supply chains

Supply chain resilience is widely receiving attention during the past decade. Collaboration and visibility enhancement in supply chains is a key to achieve resilience and robustness in supply chains. Collaborative Planning, Forecasting and Replenishment (CPFR) is always been one of the difficult, yet powerful tool for collaboration in supply chains. Companies, in general attempt to address the technological side of changes, but avoid addressing the non-technological side of it, while implementing CPFR. This paper aims to explore the technological and non-technological enablers of CPFR, separately considering the Indian manufacturing industries and study their causal relations, using the Interpretive Structural Modeling (ISM). The results are beneficial, as managers can concentrate on causal enablers, while implementing CPFR. The success factors for implementation can slightly vary across different industries, but the applicability of the result is wider due to several common issues that arise during its implementation. Thus, the paper aims to provide directions for considering the most influencing enablers that can act as critical factors in the successful implementation of the CPFR. These influential enablers can be given much focus to reduce the vulnerabilities and to enhance the resilience capabilities of firms and their supply chains.
Essential Kanban Condensed

Kanban is a method of organizing and managing professional services work. It uses Lean concepts such as limiting work in progress to improve results. A Kanban system is a means of balancing the demand for work to be done with the available capacity to start new work. This book provides a distillation of Kanban: the "essence" of what it is and how it can be used. This brief overview introduces all the principal concepts and guidelines in Kanban and points you to where you can find out more. Essential Kanban Condensed is a great resource to get started or continue exploring ideas for evolutionary change and improvement in business agility.
Ceres’ Broad‐Scale Surface Geomorphology Largely Due To Asymmetric Internal Convection

While we now know much about the volatile‐rich world of Ceres from the Dawn mission, the deep interior remains something of an enigma, shrouded by a crust composed of water ice, carbonates, phyllosilicates, salts and clathrate hydrates. While smaller than most active moons or planets, Ceres has many features commonly associated with active, icy bodies including: hydrothermal, cryovolcanic, and tectonic features. Yet on active icy moons tidal heating is a significant component of the thermal budget; it is unclear whether radiogenic heating alone would be sufficient to supply the heat necessary for Ceres' interior to undergo solid‐state convection. Here we show that transient asymmetric convection develops as the temperature within the body rises from heat generated by the decay of long‐lived radionuclides (e.g., U, Th, K). The onset of transient asymmetric convection may reconcile a number of puzzling features on Ceres including: the missing large craters, Hanami Planum—the region of thickened crust, the gravity and crustal thickness, and the lithospheric stress state represented by the Samhain Catenae. Hemispheric‐scale instabilities may also be important in the evolution of small bodies with small cores throughout the solar system, including the small icy moons of Saturn and Uranus as well as Kuiper belt objects.
Reduced Order Identification and Stability Analysis of DC-DC Converterss

This paper discusses the measurement of frequency response functions for various dc-dc converters. The frequency domain identification procedure is applied to the measured frequency responses. The identified transfer functions are primarily used in developing behavioral models for dc-dc converters. Distributed power systems are based upon such converters in cascade, parallel and several other configurations. The system level analysis of a complete system becomes complex when the identified transfer functions are of high order. Therefore, a certain technique needs to be applied for order reduction of the identified transfer functions. During the process of order reduction, it has to be ensured that the system retains the dynamics of the full order system. The technique used here is based on the Hankel singular values of a system. A systematic procedure is given to retain the maximum energy states for the reduced order model. A dynamic analysis is performed for behavioral models based on full and reduced order frequency responses. The close agreement of results validates the effectiveness of the model order reduction. Stability is the key design objective for any system designer. Therefore, the measured frequency responses at the interface of the source and load are also used to predict stability of the system .
Video-Based 3D pose estimation for residential roofing

ABSTRACT Residential roofers are often exposed to awkward postures and motions in a prolonged time, which may not only reduce their body stability and increase fall potential, but also increase the risk of musculoskeletal disorders (MSDs). To assess their risks of fatal and musculoskeletal injuries, it is crucial to capture 3D body poses of workers during roofing tasks. In this paper, we proposed a novel two-stage motion estimation approach based on a convolution neural network to estimate residential roofer’s body poses using three-view video data. Our approach includes two stages: (1) use of an offline multi-view model to estimate the 3D pose in a single frame; (2) use of a multi-frame model to apply temporal convolutions to refine the multi-view outputs. The performance of the approach was evaluated by comparing our estimation with the gold-standard marker-based 3D human pose during one of the common residential roofing tasks – shingle installation. The evaluation results show that the proposed multi-frame model can effectively improve the accuracy of the coordinate sequence. Moreover, these results prove that the proposed video-based motion estimation approach can efficiently and accurately locate 3D body joints and pave the way for future onsite motion analysis during roofing activities.
Genotoxicity Set Up in Artemia franciscana Nauplii and Adults Exposed to Phenanthrene, Naphthalene, Fluoranthene, and Benzo(k)fluoranthene

Polycyclic aromatic hydrocarbons (PAHs) consist of a group of over 100 different organic compounds mainly generated by anthropogenic activities. Because of their low water solubility, they tend to be accumulated in sediment, where their degradation rate is very low. Few studies have been carried out so far to investigate the effects of PAHs on Artemia franciscana. Artemia is easy to manage at laboratory scale, but it is not a sensitive biological model considering the traditional endpoints (i.e., mortality). In addition to evaluating the lethality on nauplii and adults of A. franciscana after 24 and 48 h, we focused on the genotoxicity to investigate the potential effects of phenanthrene (PHE), naphthalene (NAP), fluoranthene (FLT), and benzo(k)fluoranthene (BkF). Results showed that FLT was the most toxic both for nauplii and adults after 48 h of exposure. Real-time qPCR showed that all toxicants, including BkF, which had no negative effects on the survival of the crustacean, were able to switch the gene expression of all nine genes. This work has important ecological implications, especially on contaminated sediment assessment considering that PAHs represent the most abundant organic group of compounds in marine environment, opening new perspectives in understanding the molecular pathways activated by crustaceans.
A compact quad element MIMO antenna for LTE/5G (sub-6 GHz) applications

Abstract In this paper, a compact I shaped monopole radiator with a dimension of 24 × 22 × 1.6 mm3 is proposed. The monopole radiator achieved an impedance bandwidth of 1.46 GHz (4.06–5.52 GHz) using partial ground plane. Further to cover the sub-6 GHz spectrum (3.4–3.6 GHz) for future 5G communications, a four-element multi-input multi-output (MIMO) antenna configuration is designed by utilizing the single element antenna. The operation bandwidth of 2.27 GHz (3.37–5.64 GHz) is enhanced by using a tapered microstrip feed line. Isolation is increased upto 40 dB over the operating band (3.37–5.64 GHz) by using a modified rectangular stub in the partial ground plane. This stub also provides a decoupling path and consequently limited amount of current couples to the neighbouring element due to surface waves. The modified stub suppress the surface waves and the near fields reducing the coupling between the antennas keeping it below −10 dB for the whole desired frequency range. Therefore, the proposed MIMO antenna achieved wide bandwidth of (3.37–5.64 GHz) and minimum isolation between antenna elements 1 & 4 is −10 dB in 3.4–3.6 GHz frequency band, whereas −15 dB between 3.8 and 5.64 GHz frequency band. The suggested MIMO antenna is designed on a FR4 substrate with a dielectric constant of 4.4 and a loss tangent of 0.02 and a 0. 45λ 0 × 0. 45λ 0 dimension. In terms of the envelope correlation coefficient (ECC), diversity gain (DG), mean effective gain (MEG), total active reflection coefficient (TARC), isolation between the ports, and channel capacity loss (CCL), the proposed antenna’s diversity performance characteristics are investigated and the obtained values are 0.04, 9.98, ±3, −11, −15 dB, 0.10 bits/s/Hz respectively. The antenna prototypes have been fabricated, and the measurements and simulations have been found to be in close agreement. Therefore, the proposed MIMO antenna covers n77/n78/n79 for 5G (sub-6 GHz) and LTE bands of 42/43/46.
Do green innovation and green competitive advantage mediate the effect of green marketing orientation on SMEs’ green marketing performance?

Abstract This study attempted to fill a gap in the literature and explore the effects of green marketing orientation on SMEs green marketing performance. According to the result, the critical role of green innovation and green competitive advantage were solutions to achieving green marketing performance. The researchers implemented the moderating role of experience manager or owner and education to enhance green marketing performance. A total of 223 samples of Batik SMEs in Yogyakarta, Indonesia, were selected and investigated. The purposive sampling method helped to collect data from respondents. The results concluded that green marketing orientation significantly affected green innovation. Green marketing orientation had a significant impact on green competitive advantage. Green innovation had a significant positive effect on green marketing performance. However, the owner or manager’s experiences did not moderate the relationship between green innovation and green marketing performance. The manager or owner’s educational background also did not support the relationship between green innovation and green marketing performance. The result of this study indicates the mediating role of green product innovation and green product competitiveness advantage on green marketing performance.
Medicinal Plant Extract Mediated Green Synthesis of Metallic Nanoparticles: A Review

The use of medicinal plant resources in the biosynthesis of metallic nanoparticles (MNPs) is remarkable in nanobiotechnology for its unique physicochemical and biological properties such as morphological diversity, large surface area by volume proportion, conductivity, stability, dispersity, and toxicity to microbes, or cancerous cells. Active phytochemicals or bioactive compounds in various medicinal plants such as flavonoids, phenolic acids, terpenoids, steroids, ascorbic acids etc. are capable of the bio-fabrication of various MNPs during the green synthesis. The biosynthesis method has a great potential to improve the manufacture of nanoparticles (NPs) without using any harmful and costly materials or chemicals that have been widely used in other traditional processes. The present review aims to describe the biosynthesis of metallic NPs using medicinal plant extract as a reducing and stabilizing agent. This review also focuses on the current state of various characterization techniques and basic features of various NPs and explores their possible uses in various biomedical sectors shortly.
Ethnomedical Study of Plants as a Traditional Medicine on Respiratory System Disease in Cilongok, Banyumas, Indonesia

Indonesia is one of the most geologically complex regions globally and makes it one of the greatest of the world's biodiversity centers. But the primary data on medicinal plants in Indonesia is still lacking. Cilongok is a district in Banyumas located on the slope of Slamet mountain. It is one of the biodiversity areas in Java, Indonesia. Respiratory System Disease has become one of the top ten diseases in Banyumas Indonesia. This study aimed to explore information about the type of medicinal plants used for respiratory system disease and how to process it in Cilongok District, Banyumas Regency, Central Java. This study was descriptive survey research with semi-structured interviews of 68 informants. Data were qualitatively analyzed by interpreting the interview transcript and quantitatively to calculate the Species Use Value of those medicinal plants. The result showed that in Cilongok District, there were 40 medicinal plant species from 25 families used as traditional medicine in respiratory system disease and pounded as the most used method of preparation. Citrus aurantiifolia (Christm.) Swingle is the most used medicinal plant with SUV were 0.235, followed by Amomum compactum Sol. ex Maton (SUV 0.206), Zingiber officinale Roscoe (SUV 0.176), Kaempferia galanga L (SUV 0.176), and Zingiber officinale var Rubrum (SUV 0.147).
Evaluation of the Prevalence of Intracerebral Hemorrhage and Related Factors in Patients with Acute Ischemic Stroke Receiving Tissue Plasminogen Activator

Background: Stroke is one of the most common causes of disability. Based on reports, recombinant tissue plasminogen activator (rtPA) remains the only drug approved for the treatment of ischemic stroke and reduction of associated disabilities. One of the most common complications of this treatment is intracerebral hemorrhage (ICH), which can lead to mortality and aggravate initial symptoms. Objectives: The present study aimed to evaluate the prevalence of hemogenic factors and the most important complication inhibiting the receiving of treatment (i.e., ICH). Methods: In total, 300 patients treated with rtPA, ICH was measured by using a CT scan, and the hemorrhage level was determined. Moreover, data analysis was performed in SPSS to compare the two groups in terms of demographic, clinical, and paraclinical findings, including age, gender, blood glucose level, the NIHSS score, early CT scores, history of diabetes, myocardial infarction and stroke, hypertension, aspirin use, and smoking status. Results: Intracerebral hemorrhage was detected in 35 out of 300 patients. The mean age of the ICH group was 74 ± 14 years and significantly higher than the non-ICH group (68 ± 14 years) (P = 0.007). The mean NIHSS score was estimated at 15 ± 5 and 12 ± 5 in the ICH and non-ICH groups, respectively (P = 0.001). More bleeding was observed in patients with the upper one-third lesion of the infarct in the MCA arterial territory (P = 0.027). Conclusions: The prevalence of cerebral hemorrhage was 11.7% with 7.6% symptomatic ICH.
Impact of inductor current ringing in DCM on output voltage of DC-DC buck power converters

Ringing of an inductor current occurs in a DC-DC BUCK converter working in DCM when current falls to zero. The oscillations are the source of interferences and can have a significant influence on output voltage. This paper discusses the influence of the inductor current ringing on output voltage. It is proved through examples that the oscillations can change actual value of duty a cycle in a way that makes the output voltage difficult to predict.
Ultrahigh Thermoelectric Performance in SrNb0.2Ti0.8O3 Oxide Films at a Submicrometer-Scale Thickness

Localized refrigeration and power generation via thermoelectric technology rely on efficient thermoelectric materials with high performance at room temperature. Although the two-dimensional electron gas (2DEG)-related materials exhibit ultrahigh thermoelectric performance near room temperature, such performance is only preserved at thicknesses within subnanometer scales, limited by the requirement of two-dimensional size confinements. Here we report ultrahigh thermoelectric performance similar to 2DEG-related materials but achieved in SrNb0.2Ti0. 8O3 oxide films with a submicrometer-scale thickness by regulating strain-induced lattice polarizations and interfacial polarizations. A large figure of merit, zT, and power factor (∼102–103 μW cm–1 K–2) were achieved near room temperature, and the maximum zT is estimated to be ∼1.6 for a 49 nm thick film. These performances exceed those of the existing n-type thermoelectric materials for room-temperature uses and the reported best oxide materials beyond subnanome.
3D-structure-attention graph neural network for crystals and materials

Machine learning has been widely used in physics and chemistry. As a deep learning method based on graph domain analysis, graph neural networks (GNNs) have natural advantages in predicting material properties. We find that most existing models focus on the topological relationship between atoms without considering the specific positions. However, 3D-spatial distribution is the key to affecting the atomic state and interaction relationship, which has a decisive impact on the material properties. Here, we present a 3D-structure-attention graph neural network (3SAGNN) model, introducing the attention mechanism. The model focuses on the critical areas in the material 3D structure that significantly impact the prediction properties to effectively improve the accuracy of material properties prediction. We prove that the performance of 3SAGNN on a variety of datasets outperforms prior ML models, such as CGCNN. Our proposed model was tested on 36,000 inorganic materials dataset, 20,000 Pt nanocluster dataset, 18,000 porous materials, and 37,000 alloy surface reactions. The experimental results show that 3SAGNN can predict formation energies, total energies, band gaps, and surface catalytic properties more accurately and quickly than density functional theory. Finally, we improve the interpretability of the model through visualisation and show the working mechanism of the network. GRAPHICAL ABSTRACT
Recent Progress in Conjugated Conducting and Semiconducting Polymers for Energy Devices

Advanced conductors (such as conducting and semiconducting polymers) are vital building blocks for modern technologies and biocompatible devices as faster computing and smaller device sizes are demanded. Conjugated conducting and semiconducting polymers (including poly(3,4-ethylenedioxythiophene) (PEDOT), polyaniline (PANI), polythiophene (PTh), and polypyrrole (PPy)) provide the mechanical flexibility required for the next generation of energy and electronic devices. Electrical conductivity, ionic conductivity, and optoelectronic characteristics of advanced conductors are governed by their texture and constituent nanostructures. Thus, precise textural and nanostructural engineering of advanced conjugated conducting and semiconducting polymers provide an outstanding pathway to facilitate their adoption in various technological applications, including but not limited to energy storage and harvesting devices, flexible optoelectronics, bio-functional materials, and wearable electronics. This review article focuses on the basic interconnection among the nanostructure and the characteristics of conjugated conducting and semiconducting polymers. In addition, the application of conjugated conducting and semiconducting polymers in flexible energy devices and the resulting state-of-the-art device performance will be covered.
To measure the influence of collinearity effectively: the deficiency of condition number and an improvement of main squared error

We frequently use condition number ( ) to judge the collinearity of a linear regression model. If the is large, we tend to believe the result of the least square estimate (LSE) is unreliable. However, in this article, we will give an example to show that is not a perfect indicator to reflect the influence of collinearity. In some cases, a model with high collinearity is quite likely to give an ideal LSE. Therefore, we put forward relative mean squared error ( ) to judge whether the collinearity significantly influences the LSE. Though is not theoretically perfect now, it indeed does better than when tested by the data we generate.
Large-Size Subunit Catalases Are Chimeric Proteins: A H2O2 Selecting Domain with Catalase Activity Fused to a Hsp31-Derived Domain Conferring Protein Stability and Chaperone Activity

Bacterial and fungal large-size subunit catalases (LSCs) are like small-size subunit catalases (SSCs) but have an additional C-terminal domain (CT). The catalytic domain is conserved at both primary sequence and structural levels and its amino acid composition is optimized to select H2O2 over water. The CT is structurally conserved, has an amino acid composition similar to very stable proteins, confers high stability to LSCs, and has independent molecular chaperone activity. While heat and denaturing agents increased Neurospora crassa catalase-1 (CAT-1) activity, a CAT-1 version lacking the CT (C63) was no longer activated by these agents. The addition of catalase-3 (CAT-3) CT to the CAT-1 or CAT-3 catalase domains prevented their heat denaturation in vitro. Protein structural alignments indicated CT similarity with members of the DJ-1/PfpI superfamily and the CT dimers present in LSCs constitute a new type of symmetric dimer within this superfamily. However, only the bacterial Hsp31 proteins show sequence similarity to the bacterial and fungal catalase mobile coil (MC) and are phylogenetically related to MC_CT sequences. LSCs might have originated by fusion of SSC and Hsp31 encoding genes during early bacterial diversification, conferring at the same time great stability and molecular chaperone activity to the novel catalases.