Miracle-dz/UniFAR-FTUs huggingface dataset:
Transitioning Toward a Circular Economy: The Impact of Stakeholder Engagement on Sustainability Culture

The circular economy transition increasingly points to the need for a change in corporate culture, namely toward sustainability. This change can be supported by improving relations with relevant stakeholders, engaging comprehensively with them, and creating strong awareness about issues such as ecosystem protection, health-related safeguards, and the careful use of resources. In this regard, through stakeholder engagement and a review of traditional business models, the circular economy can contribute to transforming the corporate culture to ensure the concurrent enhancement of economic, social, and environmental dimensions. This study verified the role of stakeholder engagement in establishing and strengthening the sustainability culture in a company transitioning toward a circular economy. The case study research methodology was applied, referencing a single firm—operating in the oil and energy industry—representing one of the best practices in the international context, even if some efforts are still required to reduce downstream emissions. The findings underline the contributing role played by stakeholder engagement in establishing values and principles compliant with environmental protection and community wellbeing. Thus, this study contributes to the existing stakeholder engagement literature and sheds light on the practical implications and emerging issues.
Copper-based alloys for structural high-heat-flux applications: a review of development, properties, and performance of Cu-rich Cu–Cr–Nb alloys

This review examines the development and current state of Cu-rich Cu–Cr–Nb alloys commonly referred to as GRCop or Glenn Research copper alloys with emphasis on Cu–8Cr–4Nb (at%), or GRCop-84, and Cu–4Cr–2Nb, or GRCop-42. Recent additive manufacturing efforts have increased interest in GRCop alloys, and full-scale hardware has been fabricated using AM techniques and practical hot-fire tests have been conducted, but structure–property relationships are still under development. The development, processing, and current microstructure-property relationships of GRCop alloys are reviewed along with comparisons to similar high-heat-flux Cu alloys including NARloy-Z, GlidCop Al-15, AMZIRC, Cu–1Cr–0.1Zr, and Cu–0.9Cr. The review concludes with an assessment of future prospects for GRCop alloys and overview of advantages provided by additive manufacturing.
Surface Characterization of Carbonaceous Materials Using Inverse Gas Chromatography: A Review

It is essential to understand the adsorption of guest molecules on carbon-based materials for both theoretical and practical reasons. It is crucial to analyze the surface properties of carbon-based materials with a wide range of applications (e.g., catalyst supports, hydrogen storage, sensors, adsorbents, separation media, etc.). Inverse gas chromatography (IGC) as a powerful and sensitive technique can be used to characterize the surface physicochemical properties (i.e., Brunauer-Emmett-Teller (BET) surface area, surface energy heterogeneity, heat of adsorption, specific interaction of adsorption, work of cohesion, glass transition temperatures, solubility, and so forth) of various types of materials such as powders, films, and fibers. In this review, the principles, common methods, and application of IGC are discussed. In addition, the examples of various experiments developed for the IGC to characterize the carbonaceous materials (such as carbon nanotubes, graphite, and activated carbon) are discussed.
The Effect of Company Sizes and Net Working Capital on Cash Holding With Profitability as Intervening Variables in Food and Beverage Sub Sector Companies Registered in Indonesia Stock Exchange

The COVID-19 pandemic that has hit the world including Indonesia since early 2020 has had The purpose of this study was to determine and analyze the influence of company size and net working capital towards holding cash with profitability as an intervening variable. This Research uses quantitative methods with 2013-2017 observation years. The research sample consisted of 15 food and beverage sub-sector companies listed on the Indonesia Stock Exchange, while the method used was purposive sampling. The analytical method used is multiple linear regression and path analysis. The results showed the size of the company had a negative and not significant effect on profitability, net working capital was positive and not significant on profitability. Company size, net working capital, and profitability have a positive and significant influence on cash holding. Profitability is not able to mediate the effect of company size on cash holding.But profitability is able to mediate the effect of net working capital on cash holding
Determining Factors in the Choice of Export Markets for Chemical Products

Abstract Taking into account the importance of business internationalization, the aim of this paper is to implement a multicriteria methodology using factors and variables found in the literature to assess the importance that the chemical sector gives them when selecting a market to export. Using a non-random sample of 10 chemical firms, the valuations of the businessmen were collected through telephone interviews and questionnaires, and finally the general and local valuation of each factor was obtained, as well as which countries were more suitable to carry out exports. The analyses show that most important factors for choosing a market in its order are: price at destination, transit time, international transport cost, import cost, and tariff barriers.
Reliability Analysis of the SHyLoC CCSDS123 IP Core for Lossless Hyperspectral Image Compression Using COTS FPGAs

Hyperspectral images can comprise hundreds of spectral bands, which means that they can represent a large volume of data difficult to manage with the available on-board resources. Lossless compression solutions are interesting for reducing the amount of information stored or transmitted while preserving it at the same time. The Hyperspectral Lossless Compressor for space applications (SHyLoC), which is part of the European Space Agency (ESA) IP core’s library, has been demonstrated to meet the requirements of space missions in terms of compression efficiency, low complexity and high throughput. Currently, there is a trend to use Commercial Off-The-Shelf (COTS) on-board electronic devices on small satellites. Moreover, commercial Field-Programmable Gate Arrays (FPGAs) have been used in a number of them. Hence, a reliability analysis is required to ensure the robustness of the applications to Single Event Upsets (SEUs) in the configuration memory. In this work, we present a reliability analysis of this hyperspectral image compression module as a first step towards the development of ad-hoc fault-tolerant protection techniques for the SHyLoC IP core. The reliability analysis is performed using a fault-injection-based experimental set-up in which a hardware implementation of the Consultative Committee for Space Data Systems (CCSDS) 123.0-B-1 lossless compression standard is tested against configuration memory errors in a Xilinx Zynq XC7Z020 System-on-Chip. The results obtained for unhardened and redundancy-based protected versions of the module are put into perspective in terms of area/power consumption and availability/protection coverage gained to provide insight into the development of more efficient knowledge-based protection schemes.
Optimal areas and climate change effects on dragon fruit cultivation in Mesoamerica

Abstract Climbing cacti with edible fruits have been proposed as new dryland fruit crops because their high water-use efficiency reduces water requirement. One lineage of climbers in the cactus family, the Hylocereus group of Selenicereus, includes several species that produce edible fruits and is currently cultivated around the world. Fruits are known as pitahayas, pitayas or dragon fruit. Here, by means of ecological niche-based modelling and analytical hierarchical modelling, the optimal areas for cultivating the three main species of this group in Mesoamerica – Selenicereus costaricensis, Selenicereus ocamponis and Selenicereus undatus – are identified. Data on distribution, physiological requirement and host preferences are taken into account to carry out ecological modelling for current and future scenarios of climate and determine its impact on cultivation. Two MIROC climatic future models, one optimistic (ssp216) and a pessimistic (ssp585) were selected and 554 records from Mexico and Central America were gathered. For all three species, temperature and precipitation seasonality, and solar radiation were the most significant variables in the niche modelling. In addition, for S. undatus the most important hosts, three species of mesquite legume trees were significant to forecast suitable areas for planting. Large areas on the Pacific side from Sinaloa to Costa Rica were predicted as favourable for cultivating the studied three species. Future scenarios of climate change predicted increase of suitable areas for two species and in particular for S. undatus the increment was the largest. Therefore, dragon fruits are corroborated as promising fruits in view of climate change.
Hope and life satisfaction in elementary school students: Mediation role of affective experiences

Life satisfaction is an important indicator of quality life of students. The aim of this study is to examine the mediation effect of positive and negative affect on the link between hope and life satisfaction in elementary school students. The sample consisted of 436 (204 female and 232 male) Turkish early adolescents recruited from among elementary school students in Turkey. Students were between 12 and 15 years (M = 13, SD = .84). Data were collected using the Children’s Hope Scale, Positive and Negative Experience Scale, and Satisfaction with Life Scale. The results indicated that hope positively predicted positive affect and satisfaction with life and negatively predicted negative affect. The structural equation model results showed that positive and negative affect partially mediated the relationship between hope and satisfaction with life. The study results showed that hope and positive emotions are an important factor for the life satisfaction of Turkish elementary school students. The practical implications and limitations of the present study are discussed.
Biomass for biofuel: understanding the risks and opportunities for Ontario agriculture1

Markets for biomass are emerging across Canada; however, considerable concern has been expressed regarding the ability of Canada’s arable land base to sustainably meet this emerging demand. Using Ontario as a case study, economic and environmental factors that must be considered when designing biomass production systems based on either crop residues from maize (Zea mays L.), soybean [Glycine max (L.) Merr. ], or winter wheat (Triticum aestivum L.) or on dedicated biomass crops such as Miscanthus (Miscanthus spp.) or switchgrass (Panicum virgatum L.) are reviewed. The Ontario agricultural land base is characterized by a growing prevalence of maize and soybean rotations, a high percentage of total arable land under the Canada Land Inventory categorized as Class 1 and 2, and geographically dispersed Class 3–5 land. Economic and environmental risks and opportunities of biomass production are demonstrated to be a function of the source of biomass, land availability, land classification, and existing land use patterns.
Illustrating Cognitive Errors in Moral Decision Making

Using a behavioral ethics framework and YouTube video clips, this exercise engages students in a demonstration of how people employ cognitive errors and self-deception to protect their interests when making ethical decisions. This approach helps instructors supplement lessons using normative theories to teach business ethics. Normative theories focus on the process of reasoning and offer decision rules for how people should make ethical decisions; behavioral ethics examines how people actually make such decisions and studies the frequent mistakes made during the process. Showing people actually making cognitive errors via video clips makes a stronger and more lasting impression than simply discussing it or reading about it.
Foliar bioactive compounds in Amburana cearensis (Allemao) A.C. Smith seedlings: Increase of biosynthesis using mycorrhizal technology

Amburana cearensis (Allemao) A.C. Smith is a widely used legume by the population due to its medicinal properties. This species establish symbiosis with the arbuscular mycorrhizal fungi (AMF) that can increase the production of secondary metabolites, a fact which has not been clarified for this plant. Therefore, the aim of this study was to examine the contribution of the AMF in the production increase of foliar bioactive compounds in A. cearensis seedlings. The experiment which under-goes protected roofing was carried out using four inoculation treatments: non-inoculated control treatment, inoculated with Gigaspora albida, inoculated with Claroideoglomus etunicatum and inoculated with Acaulospora longula. After 160 days, the following was examined: dry matter of the aerial part, chlorophylls a, b and total, soluble carbohydrates, total proteins, total phenols, total flavonoids and total tannins. A. cearensis seedlings inoculate with C. etunicatum accumulated more dry matter of the aerial part (78.38%), total chlorophylls (24.28%) and chlorophylls b (53.63%), total phenols (47.82%), total flavonoids (32.28%) and total tannins (61.58%) in relation to the control treatment. Mycorrhizal technology using the C. etunicatum fungus is an alternative to increase the levels of foliar bioactive compounds in A. cearensis seedlings. Key words: Caatinga, phenolic compounds, arbuscular mycorrhizal fungi (AMF).
A Metalloporphyrin‐Peptide Conjugate as an Effective Inhibitor of Amyloid‐β Peptide Fibrillation and Cytotoxicity

Molecules that inhibit Aβ misfolding have received considerable attention in view of their potential use in the prevention or treatment of Alzheimer's disease. We designed a peptide-porphyrin conjugate incorporating two recognition sites enabling it to interact strongly with the Aβ42 peptide. The inhibitory effect on Aβ42 fibril formation was determined in aqueous solution by a variety of spectroscopic techniques including UV-vis, fluorescence, Circular Dichroism, Dynamic Light Scattering, Maldi-Time of Flight-Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy. A working mechanism of the antifibrillogenic action of the conjugate was proposed based on the experimental observations. The neuroprotective activity of the conjugate was also inferred by using primary neuronal or neuron-like differentiated SH-SY5Y cell cultures.
Novel Insights into the Biotechnological Production of Haematococcus pluvialis-Derived Astaxanthin: Advances and Key Challenges to Allow Its Industrial Use as Novel Food Ingredient

Astaxanthin shows many biological activities. It has acquired a high economic potential and its current market is dominated by its synthetic form. However, due to the increase of the health and environmental concerns from consumers, natural forms are now preferred for human consumption. Haematococcus pluvialis is artificially cultured at an industrial scale to produce astaxanthin used as a dietary supplement. However, due to the high cost of its cultivation and its relatively low biomass and pigment productivities, the astaxanthin extracted from this microalga remains expensive and this has probably the consequence of slowing down its economic development in the lower added-value market such as food ingredient. In this review, we first aim to provide an overview of the chemical and biochemical properties of astaxanthin, as well as of its natural sources. We discuss its bioavailability, metabolism, and biological activities. We present a state-of-the-art of the biology and physiology of H. pluvialis, and highlight novel insights into the biotechnological processes which allow optimizing the biomass and astaxanthin productivities. We are trying to identify some lines of research that would improve the industrial sustainability and economic viability of this bio-production and to broaden the commercial potential of astaxanthin produced from H. pluvialis.
Minimal Invasive Treatments for Renal Cell Carcinoma

Renal cell carcinoma (RCC) is the most common malignancy of the kidney that accounts 85% of all renal tumors and 2-3% of all adult malignancies . The etiology of RCC associated with smoking , obesity, anti-hypertensive therapy, coffee and tea, Western diet (high fat and protein and low fruits and vegetables). However, the detection of small renal masses has been increased because of widespread use of sonography, computed tomography and magnetic resonance imaging techniques in recent years, but one-third of the patients with RCC still present with large, locally advanced or metastatic disease. Surgery is the main treatment for renal cell carcinoma and minimal invasive treatments such as laproscopy and robotic approaches is very popular in the world after the widespread use of technological instruments and technology.
Effect of Opuntia elatior on Alteration in Glutamic Oxaloacetic Transaminase activity induced by Gamma Radiation in Swiss Albino Mice

When mice are exposed to gamma radiation, all the body systems are affected adversely. Liver enzymes which are responsible for removal of toxicity created by irradiation increases in the body. Several herbs are known to reduce this toxicity. Opuntia elatior (OE) ,a cactus, was tested in this study for its activity to remove toxins induced by whole body exposure to Co gamma rays (6Gy). A moderate dose of OE (10 mg/kg body weight) was given orally to mice, before whole body irradiation and GOT activity was studied in their kidney at 1,3,5,10,15 and 30 post treatment days . Whole body gamma ray exposure increases GOT activity in the kidneys also. In OE pretreated animals this increase was significantly lesser and early recovery was observed. Two types of extracts were used in this study (ethanolic and acetonic). Both were able to reduce gamma radiation induced increase significantly and almost equally. As OE cladode extracts are quite cheap and produce no side effects(OE cladodes are used as food), it may be used to prevent unwanted toxic effects of gamma radiation exposure.
Rectilinear routing algorithm for crosstalk minimisation in 2D and 3D IC

: The coupling capacitance and inductance of 2D and 3D integrated circuit (IC) interconnects in deep sub-micron technology has been increased due to reduced coupling distance in such a way that their magnitudes become comparable to the area and fringing capacitance of an interconnect. This leads to an increasing risk of failure due to unintentional noise and a need for accurate noise assessment. Incorrect noise estimation could either result in defects in circuit design if the design resources are understated or it will end up with a waste of overestimation resources. In this study, a crosstalk noise model for coupled RLC on-chip interconnects has been demonstrated. Subsequently, a novel time-efficient method is proposed to estimate and optimise the crosstalk noise precisely. The proposed method calculates coupling noise as well as optimises crosstalk noise, which has been validated using SPICE. Besides the estimation of crosstalk noise for 2D interconnect, this study also estimates the crosstalk noise for through-silicon-via (TSV), which is used to connect different dies vertically in a 3D IC. Under high-frequency operation, effects of signal rise time, TSV structure (height of the TSV), substrate resistivity and the guarding TSV termination on crosstalk noise have also been studied in this work.
Development of a scoring tool for predicting prolonged length of hospital stay in peritoneal dialysis patients through data mining

Background The hospital admission rate is high in patients treated with peritoneal dialysis (PD), and the length of stay (LOS) in the hospital is a key indicator of medical resource allocation. This study aimed to develop a scoring tool for predicting prolonged LOS (pLOS) in PD patients by combining machine learning and traditional logistic regression (LR). Methods This study was based on patient data collected using the Hospital Quality Monitoring System (HQMS) in China. Three machine learning methods, classification and regression tree (CART), random forest (RF), and gradient boosting decision tree (GBDT), were used to develop models to predict pLOS, which is longer than the average LOS, in PD patients. The model with the best prediction performance was used to identify predictive factors contributing to the outcome. A multivariate LR model based on the identified predictors was then built to derive the score assigned to each predictor. Finally, a scoring tool was developed, and it was tested by stratifying PD patients into different pLOS risk groups. Results A total of 22,859 PD patients were included in our study, with 25.2% having pLOS. Among the three machine learning models, the RF model achieved the best prediction performance and thus was used to identify the 10 most predictive variables for building the scoring system. The multivariate LR model based on the identified predictors showed good discrimination power with an AUROC of 0.721 in the test dataset, and its coefficients were used as a basis for scoring tool development. On the basis of the developed scoring tool, PD patients were divided into three groups: low risk (≤5), median risk [5–10], and high risk (>10). The observed pLOS proportions in the low-risk, median-risk, and high-risk groups in the test dataset were 11.4%, 29.5%, and 54.7%, respectively. Conclusions This study developed a scoring tool to predict pLOS in PD patients. The scoring tool can effectively discriminate patients with different pLOS risks and be easily implemented in clinical practice. The pLOS scoring tool has a great potential to help physicians allocate medical resources optimally and achieve improved clinical outcomes.
Numerical Modeling of a Rectangular Hollow-Core Waveguide for the Detection of Fuel Adulteration in Terahertz Region

A petrol adulteration sensor based on a rectangular shaped hollow-core photonic crystal fiber is proposed and numerically analyzed in the terahertz regime. The performance of the proposed sensor was evaluated when it is employed to characterize different kerosene mixtures. In this research, the adulterated fuel sample is filled in the rectangular hollow channel and the electromagnetic signal of the terahertz band is also driven through the same channel. The received signal after the interaction of fuel with the terahertz signal will advise the refractive index of the fuel oil inside the core, which will also bear the information of how much extrinsic component is present in the fuel. The finite element method based simulation shows that the proposed sensor can reach a high relative sensitivity of 89% and presents low confinement losses at 2.8 THz. The reported sensing structure is easily realizable with the conventional manufacturing techniques. Consequently, this proposed fiber may be treated as an essential part of real-life applications of petrol adulteration measurements.