Miracle-dz/UniFAR-FTUs huggingface dataset:
User‐driven supply chain business model innovation: The role of dynamic capabilities

This research explores how focal tea companies facilitate supply chain business model innovation (SCBMI) to meet consumer demands and achieve sustainable development. By applying a case study method and dynamic capability theory, we find that: (1) the end-user innovation-driven is the precondition for tea SCBMI; (2) the user-driven innovation leads to the change of the supply chain focal company dynamic capabilities and the tea supply chain network structure, and thus promote the tea SCBMI; (3) SCBMI will, in turn, enhance the focal company's dynamic capabilities and promote the change of tea supply chain network structure in order to meet the consumers' changing demands. Our research suggests that the supply chain should pay attention to the construction of dynamic capabilities and proactively manage supply chain network structure. Ultimately, the entire supply chain business model will continuously adapt to the external changes and achieve sustainable development in the long term.
High‐Temperature Photoluminescence of CsPbX3 (X = Cl, Br, I) Nanocrystals

Recent synthetic developments have generated intense interest in the use of cesium lead halide perovskite nanocrystals for light‐emitting applications. This work presents the photoluminescence (PL) of cesium lead halide perovskite nanocrystals with tunable halide composition recorded as function of temperature from 80 to 550 K. CsPbBr3 nanocrystals show the highest resilience to temperature while chloride‐containing samples show relatively poorer preservation of photoluminescence at elevated temperatures. Thermal cycling experiments show that PL loss of CsPbBr3 is largely reversible at temperatures below 450 K, but shows irreversible degradation at higher temperatures. Time‐resolved measurements of CsPbX3 samples show an increase in the PL lifetime with temperature elevation, consistent with exciton fission to form free carriers, followed by a decrease in the apparent PL lifetime due to trapping. PL persistence measurements and time‐resolved spectroscopies implicate thermally assisted trapping, most likely to halogen vacancy traps, as the mechanism of reversible PL loss.
A Simple Effective Permittivity Model for Metasurfaces Within Multilayer Stratified Media

A simple and accurate approach for computing the effective permittivity of metasurfaces embedded within arbitrary stratified media is presented. The proposed model provides accurate estimation of the effective permittivity for stackups with several dielectric layers with arbitrary thickness and permittivity. The effect due to the unit cell geometry is also taken into account. The accuracy of the model is rigorously verified by comparing the effective permittivity estimated by the approximate model with the one extracted by using full-wave method of moments (MoM) simulations as a function of the substrate thickness.
Enhancing nurses well-being through managerial coaching: a mediating model

Purpose Workplace well-being has emerged as an important aspect in the field of health care. Therefore, this paper aims to investigate the role of managerial coaching on nurses’ well-being through psychological ownership and organizational identity. Design/methodology/approach The authors approached 284 nurses working in both public and private hospitals (between December 2019 and February 2020) on convenience basis, and data were collected through an online questionnaire-based survey. Findings The data were analyzed using AMOS version 24 and structural equation modeling confirmed psychological ownership and organizational identity as explanatory variables between managerial coaching and well-being. Research limitations/implications The study used self-reported data using convenience sampling which may raise a question on causality. The findings suggest the management to consider the importance of managerial coaching in shaping positive workplace behaviors of employees. Originality/value Drawings on social exchange theory, this study extends past studies to examine the mediating roles of psychological ownership and organizational identification between managerial coaching and workplace well-being among nurses. The study has theoretical and practical implications.
Distribution Prediction for Reconfiguring Urban Dockless E-Scooter Sharing Systems

Dockless E-scooter Sharing (DES) has become a popular means of last-mile commute for many smart cities. As e-scooters are getting deployed dynamically and flexibly across city regions that expand and/or shrink, accurate prediction of the e-scooter distribution given the reconfigured regions becomes essential for city planning. We present <bold/><monospace><bold>GCScoot</bold></monospace><bold/>, a novel flow distribution prediction approach for reconfiguring urban DES systems. Based on real-world datasets with reconfiguration, we analyze e-scooter distribution features and flow dynamics for the data-driven designs. We propose a novel spatio-temporal graph capsule neural network within <monospace>GCScoot</monospace> to predict future dockless e-scooter flows given the reconfigured regions. <monospace>GCScoot</monospace> pre-processes historical spatial e-scooter distributions into flow graph structures, where discretized city regions are considered as nodes and inter-region flows as edges. To facilitate initial training, we cluster the regions and generate virtual data for new deployment regions based on their peers in the same cluster. Given above designs, the region-to-region correlations embedded within the temporal flow graphs are captured via the multi-graph capsule convolutional neural network which accurately predicts the DES flows. Extensive studies upon four e-scooter datasets (total <inline-formula><tex-math notation="LaTeX">$>$</tex-math><alternatives><mml:math><mml:mo>></mml:mo></mml:math><inline-graphic xlink:href="he-ieq1-3062074.gif"/></alternatives></inline-formula>3.4 million rides) in four populous US cities have corroborated accuracy and effectiveness of <monospace>GCScoot</monospace> in predicting the e-scooter distributions.
Wheeler Method for Evaluation of Antennas Submerged in Lossy Media

A Wheeler method for the evaluation of the radiation efficiency of submerged antennas within lossy media is presented and demonstrated for the first time in the literature. Extensive investigations have been devised by empirical and simulation methods. Normal-mode helical antenna (NMHA) was first designed and fabricated to exemplify a real-life application at the UHF band (0.3 to 3 GHz). The antenna under test (AUT) was evaluated within an artificial lossy material using a series of Wheeler caps featuring different radii to study the validity of this method. The error between the experimental and simulation radiation efficiency is below 3% near the theoretical radian length. The presented measurement method of radiation efficiency without any essential measurement facilities or accessories could be a promising candidate for fast and accurate evaluation for any wire-type antenna submerged within lossy media.
Structural Controllability of Directed Signed Networks

In this article, the structural controllability of multiagent networks defined over directed signed graphs is investigated, where the agents are divided into leaders and followers, and only leaders are manipulated by the external control input directly. The communication digraph contains positive and negative edges, which represent cooperative and antagonistic interactions between agents, respectively. First, a graph-theoretic necessary and sufficient condition for structural controllability of multiagent networks is derived, that is, a multiagent network is structurally controllable if and only if the communication digraph is leader–follower connected. Next, the minimal controllability problem is studied. It is shown that the minimal controllability problem is solvable, and a method of polynomial complexity to accomplish minimal structural controllability is developed. In addition, the structural controllability of specified Cartesian product networks is discussed and a necessary and sufficient condition concerning the factor networks for the structural controllability is established. The application of the theoretical results is demonstrated by several practical examples.
Removal of synthetic dyes from multicomponent industrial wastewaters

Abstract Colored effluents containing dyes from various industries pollute the environment and pose problems in municipal wastewater treatment systems. Industrial effluents consist of a mixture of dyes and require study of the simultaneous removal of dyes. Simultaneous quantification of dyes in the solution is a common problem while using a spectrophotometric method due to overlapping of their absorption spectra. Derivative spectroscopy and chemometric methods in spectrophotometric analysis facilitate simultaneous quantification of dyes. Adsorption is a widely used treatment method for the removal of a mixture of recalcitrant dyes in industrial wastewaters. Confirming the assertion, this paper presents a state-of-the-art review on methods used for simultaneous quantification of dyes and the effects of various parameters on their adsorptive removal. This paper also reviews the adsorption equilibrium, modeling, mechanisms of dyes adsorption, and adsorbent regeneration techniques in multicomponent dye systems. It has been observed that chemometric techniques provide accuracy, repeatability, and high speed in processing and helps in better operability in real wastewater treatment plants. The conclusions include the need for the development of thermodynamic models that can predict simultaneous physisorption and chemisorption exhibited by different dyes and to develop isotherm models that can describe chemisorption of a mixture of dyes. The paper delves into inadequately researched gray areas of adsorption of a mixture of dyes which require the development of modified adsorption methods that serves process intensification for complete degradation/mineralization.
Development and Evaluation of Multigrain Soup Sticks Based on Box–Behnken Design

ABSTRACT Development of multigrain soup-sticks using composite flours and optimization of levels of flours was done using Response Surface Methodology. The factors such as White wheat flour, Foxtail millet flour, and Great millet (Jowar) flour; while the responses Sensory score, TPA, & TBA were studied with the help of Box-Behnken Design. The formulation with 30.11g white wheat flour was found to be suitable for the preparation of the Multigrain soup sticks. The optimized Multigrain Soup Sticks had 15.30 ± 0.62v Protein, 12.14 ± 0.010% Fat, and 63.79 ± 0.50% Carbohydrates. The shelf-life of the optimized multigrain soup sticks was found to be 60 days based on chemical and sensory attributes.
Volatile components of white Hypsizygus marmoreus detected by electronic nose and HS-SPME-GC-MS: Influence of four drying methods

ABSTRACT Four drying methods, viz hot air drying (HD), vacuum drying (VD), microwave-vacuum drying (MVD), and vacuum freeze-drying (FD), were used to dry white Hypsizygus marmoreus (WHM). The volatile and taste components of the dried WHM were comparatively analysed by electronic nose technology (E-nose) and head-space solid-phase microextraction combined with gas chromatography-mass spectrometry (HS-SPME-GS-MS). Principal component analysis (PCA) showed that E-nose could distinguish fresh WHM and four dried products clearly. Dominant volatile components in fresh WHM were found to be 1-octen-3-ol, 3-octanone, and (E)-2-nonenal. However, it was found that the drying methods caused damage to the 8-carbon compounds (C8), especially to 8-carbon alcohol greatly. For instance, HD produced more ester materials, MVD yielded more aldehyde compounds, FD brought more hydrocarbon products, and VD produced more ketone substances.
Microbes as Biofertilizers, a Potential Approach for Sustainable Crop Production

Continuous decline of earth’s natural resources and increased use of hazardous chemical fertilizers pose a great concern for the future of agriculture. Biofertilizers are a promising alternative to hazardous chemical fertilizers and are gaining importance for attaining sustainable agriculture. Biofertilizers play a key role in increasing crop yield and maintaining long-term soil fertility, which is essential for meeting global food demand. Microbes can interact with the crop plants and enhance their immunity, growth, and development. Nitrogen, phosphorous, potassium, zinc, and silica are the essential nutrients required for the proper growth of crops, but these nutrients are naturally present in insolubilized or complex forms. Certain microorganisms render them soluble and make them available to the plants. The potential microbes, their mode of action, along with their effect on crops, are discussed in this review. Biofertilizers, being cost effective, non-toxic, and eco-friendly, serve as a good substitute for expensive and harmful chemical fertilizers. The knowledge gained from this review can help us to understand the importance of microbes in agriculture and the ways to formulate these microbes as biofertilizers for sustainable crop production.
Distribution LMP-Based Demand Management in Industrial Park via a Bi-Level Programming Approach

To enhance industrial park's economic gains and effectively allocate its electricity bill among industrial users with combined heat and power (CHP) units and photovoltaic (PV) panels, this paper proposes a distribution locational marginal price (DLMP)-based bi-level demand management approach. The upper level optimizes dispatching decisions of industrial users with the objective of minimizing their energy bills, and the lower level is a DLMP-based market clearing problem to minimize the two-part tariff cost of the industrial park operator. In order to solve the proposed bi-level model efficiently, it is first equivalently converted into a single-level mathematical programming with equilibrium constraints (MPEC), and then reformulated as a mixed-integer second-order conic programming (MISOCP) model by linearizing bilinear terms. Numerical results demonstrate the effectiveness of our proposed bi-level method in lowering industrial park's electricity bill and achieving effective allocation among users.
Velocity Profile and Turbulence Structure Measurement Corrections for Sediment Transport-Induced Water-Worked Bed

When using point measurement for environmental or sediment laden flows, there is well-recognised risk for not having aligned measurements that causes misinterpretation of the measured velocity data. In reality, these kinds of mismeasurement mainly happen due to the misinterpretation of bed orientation caused by the complexity of its determination in natural flows, especially in bedload laden or rough bed flows. This study proposes a novel bed realignment method to improve the measured data benchmarking by three-dimensional (3D) bed profile orientation and implemented it into different sets of experimental data. More specifically, the effects of realignment on velocity profile and streamwise turbulence structure measurements were investigated. The proposed technique was tested against experimental data collected over a water-worked and an experimentally arranged well-packed beds. Different from the well-packed rough bed, the water-worked bed has been generated after long sediment transport and settling and hence can be used to verify the proposed bed-alignment technique thoroughly. During the flow analysis, the corrected velocity, turbulence intensity and Reynolds stress profiles were compared to the theoretical logarithmic law, exponential law and linear gravity (universal Reynolds stress distribution) profiles, respectively. It has been observed that the proposed method has improved the agreement of the measured velocity and turbulence structure data with their actual theoretical profiles, particularly in the near-bed region (where the ratio of the flow measurement vertical distance to the total water depth, z/h, is limited to ≤0.4).
A Robust LG‐SIMS Method for Sr Isotope Determination in Apatite Across a Wide Sr Concentration Range

Apatite provides a powerful means to determine the Sr isotopic composition (87Sr/86Sr) of ancient crust as it contains enough Sr to be measured accurately and precisely while typically having little post‐crystallisation radiogenic ingrowth due to its low Rb. Although utilising LG‐SIMS is beneficial for small‐volume targets, for example, inclusions, it is technically challenging to measure Sr isotopes in apatite with good accuracy and precision by SIMS, mainly due to molecular isobars interfering on Sr isotopes that have not previously been thoroughly assessed. This study evaluates all theoretically possible interferences affecting Sr isotope analysis of apatite by SIMS and develops a principle protocol for analysis and data processing that can be applied across a wide range of Sr concentration, even lower than 100 µg g−1. With careful control of the peak shape and applying precise mass centring at an intermediate mass resolution (ca. 4500), only interferences from the apatite matrix‐produced Ca dimers and 40Ca31P16O (present as a low mass tail) were found to be significant for the low trace element reference apatite used in this study, both of which can be precisely measured and corrected for. Despite this comprehensive approach, the Ca2 correction remained inadequate, possibly due to as yet unidentified doubly charged molecules interfering at the reference mass 82 peak (40Ca42Ca). While this can be reduced by employing an energy offset of at least −25 eV, precision significantly worsens in low Sr apatite (ca. 0.0024 in 1SE compared with ca. 0.0010 without offset for < 100 Sr µg g−1 apatite). Use of an empirical correction for the residual mass 82 interference is therefore preferred to an energy offset analytical approach, especially for low Sr apatite. Lastly, a slightly positive offset (ca. +0.0007) of unknown origin in 87Sr/86Sr was consistently observed across sessions with different analytical conditions, which may also be empirically corrected. The final corrected 87Sr/86Sr of the reference materials show good accuracy and precision with repeatability from ca. 0.0010 to 0.0002 in 1SE obtained for Sr contents from < 100 to 1500 µg g−1.
High Gain DC–AC High-Frequency Link Inverter With Improved Quasi-Resonant Modulation

This article presents a high gain pure sine- wave inverter based on the full-bridge dc–ac high-frequency link cycloconverter topology for telecom or general-purpose applications. The improved quasi-resonant modulation method allows reduction of ringing and turn-off losses of the dc-side switches. This is achieved with minimal energy circulation and requires no multi-mode operation or extra auxiliary clamping circuits. The soft switching can be provided even if relatively large lossless snubber capacitors are connected across the input side transistors. Moreover, two of the switches at the ac side operate at fundamental frequency, while the rest feature zero current turn-off. A 48 VDC to 230 VAC, 1.2 kW sine-wave inverter prototype was developed to verify the proposed concept.
Investment Models for Enterprise Architecture (EA) and IT Architecture Projects within the Open Innovation Concept

Information technologies (IT) architecture and infrastructure is a significant cost item, especially for enterprises with complex production infrastructure and equipment that require automated and digital devices to collect and process primary data on technological and production processes. Most investment models for enterprise-wide development projects usually do not take into account the automation’s costs, including the design and implementation of information systems. The Enterprise Architecture (EA) paradigm has been proposed to bridge the gap between the business and the IT sector. The study aims to develop investment models for projects for the implementation and development of EA solutions, including IT architectures that eliminate the shortcomings of existing approaches. The research methodology is based on the analysis of published approaches to investment models for projects creating and developing EA, IT architectures with the identification of their advantages and limitations, and on the analysis of IT investment assessment practices in Russian infrastructure-intensive companies. As a result, investment and appraisal models are proposed that have advantages associated with the ability to calculate the effect of an integrated approach to the implementation of IT solutions, a more accurate calculation of an investment project cost by taking into account the IT system’s cost, a reduction in the investment cycle of development and implementation of architectural solutions, including physical and IT component.
A Routing Technique for Enhancing the Quality of Service in Vanet

VANET (Vehicular Ad- hoc Network) is becoming a part of a smart city in this communicating world. The major issue is frequent “Link Breakage Problem” between Source vehicle and Forwarding Vehicles (FV). If a source vehicle wants to send a set of the data packet to a destination vehicle there needs to have an FV(s) to transmit the data, given the destination vehicle is situated outside the communication range. Normally the Link Breakage problem degrades the quality of service (QoS) of VANET, which in turn degrades the parameters which determine the QoS. These are Packet Delivery Ratio, increases End to End delay, increases the Control Packet Overhead and reduces the data rate, namely bit/sec/vehicle. In our new method, we have made all the above parameters better than existing methods by a new approach, which enable an End to End communicate for a long-time. It is done by choosing a possible FV, which will remain in the transmission zone of the source unless the complete data packet is received by the FV. This is done by defining an “Effective Region” we call it “E-region”, where FV was chosen from that region. This region is defined from a calculated parameter “E”. This parameter E is calculated from the relative velocity of the source and the chosen forwarding vehicle. We have found that our method can deliver about 14.8 kbit/sec/Vehicle data compared to other methods which were ranging from (7.87–1.21) kbit/sec/Vehicle for 300 vehicles in the network.
Field Trial of an Automated Batch Chlorinator System at Two Shared Shallow Tubewells among Camps for Forcibly Displaced Myanmar Nationals (FDMN) in Cox’s Bazar, Bangladesh

Chlorination of shallow tubewell water is challenging due to various iron concentrations. A mixed-method, small-scale before-and-after field trial assessed the accuracy and consistency of an automated chlorinator, Zimba, in Rohingya camp housing, Cox’s Bazar. From August–September 2018, two shallow tubewells (iron concentration = 6.5 mg/L and 1.5 mg/L) were selected and 20 households were randomly enrolled to participate in household surveys and water testing. The field-team tested pre-and post-treated tubewell and household stored water for iron, free and total chlorine, and E. coli. A sub-set of households (n = 10) also received safe storage containers (5 L jerry cans). Overall mean iron concentrations were 5.8 mg/L in Zimba water, 1.9 mg/L in household storage containers, and 2.8 mg/L in the project-provided safe storage containers. At baseline, 0% samples at source and 60% samples stored in household vessels were contaminated with E. coli (mean log10 = 0.62 MPN/100 mL). After treatment, all water samples collected from source and project-provided safe storage containers were free from E. coli, but 41% of post-treated water stored in the household was contaminated with E. coli. E. coli concentrations were significantly lower in the project-provided safe storage containers (log10 mean difference = 0.92 MPN, 95% CI = 0.59–1.14) compared with baseline and post-treated water stored in household vessels (difference = 0.57 MPN, 95% CI = 0.32–0.83). Zimba is a potential water treatment technology for groundwater extracted through tubewells with different iron concentrations in humanitarian settings.