Miracle-dz/UniFAR-FTUs huggingface dataset:
Geomechanics in Depleted Faulted Reservoirs

This paper examines the impact of the effective stresses that develop during depletion of a faulted reservoir. The study is based on finite element modeling using 2D plane strain deformation analysis with pore pressure and elastoplastic deformation of the reservoir and sealing shale layers governed by the Drucker–Prager plasticity model. The mechanical properties and response of the rock formations were derived from triaxial test data for the sandstone reservoirs and correlation functions for the shale layers. A normal fault model and a reverse fault model were built using seismic data and interpretation of field data. The estimated tectonic in-situ stress field was transformed to the plane of the modeled geometry. Sensitivity studies were performed for uncertainties on the values of the initial horizontal stress and for the friction of the fault surfaces. It was found that the stress path during depletion is mainly controlled by the initial lateral stress ratio (LSR). The developed effective stresses with depletion are influenced by the fault geometry of the compartmentalized blocks. Plastic deformation develops for low LSR whereas for high values the system tends to remain in the elastic region. When plastic deformation takes place, it affects mainly the region near the fault. The reservoir deformation is dominated by vertical displacement which is higher near the fault region and nearly uniform in the remote area. The volumetric strain is dominated by compaction. More volatile conditions in relation to change of the friction coefficient and LSR were found for the normal fault geometry.
Toward New Solvents for EDLCs: From Computational Screening to Electrochemical Validation

The development of innovative electrolytes is a key aspect of improving electrochemical double layer capacitors (EDLCs). New solvents, new conducting salts as well as new ionic liquids need to be considered. To avoid time-consuming “trial and error” experiments, it is desirable to “rationalize” this search for new materials. An important step in this direction is the systematic application of computational screening approaches. Via the fast prediction of the properties of a large number of compounds, for instance all reasonable candidates within a given compound class, such approaches should allow to identify of the most promising candidates for subsequent experiments. In this work we consider the toy system of all reasonable nitrile solvents up to 12 heavy atoms. To investigate if our recently proposed computational screening strategy is a feasible tool for the purpose of rationalizing the search for new EDLC electrolyte materials, we correlate—in the case of EDLCs for the first time—computational screen.
Development of a novel two-stage parabolic dish collector-receiver system for efficiency improvement

ABSTRACT This paper is related to the solar radiation concentrating at two focus points, at which three stages of receivers are located. It refers to the improvement of the thermal collection efficiency of the parabolic dish concentrator (PDC) system by using a twin-staged concentrator and three-staged receiver system. It discloses system design that concentrates the incident solar energy in varying proportions subsequently at low-, medium-, and high-temperature solar cavity receiver stages. It is seen that the modified design demonstrated increased thermal collection efficiency as compared to the conventional single-stage system. It improved the system efficiency by about 12.4% for lesser flow Reynolds number (Re). For the entire studied flow range, the average percentage increase in system thermal efficiency is about 8.6%. The twin-stage system demonstrated insignificant improvement in the flow transition zone. In the case of a developed system, the percentage contributions of losses by conduction, convection, and radiation are varying from 1.5–2.7%, 59–62%, and 36–37%, respectively.
In vitro and in vivo antioxidant properties of Phyllanthus muellerianus and its major constituent, geraniin

Objective: Phyllanthus muellerianus (Kuntze) Exell. of the family Euphorbiaceae, is used as a wound healing agent in Ghana and other West African countries. Oxidative stress has been identified to delay wound healing process and subsequently leads to the development of chronic wounds. Hence, the aim of the present study was to investigate the in vivo and in vitro antioxidant properties of aqueous extract of the aerial parts of P.muellerianus (PLE) and its major constituent, geraniin. Methods: Wound tissues excised from rats treated with PLE (0.25, 0.5 and 1% w/w) and geraniin (0.1, 0.2 and 0.4 % w/w) incorporated in aqueous creams were assayed for the levels of superoxide dismutase (SOD), catalase (CAT), myeloperoxidase (MPO), ascorbate peroxidase (APx) and malondialdehyde (MDA). 1,1-diphenyl-2-picryl-hydrazyl (DPPH), ferric reducing antioxidant power, total phenolic content and total antioxidant capacity assays were used to measure in vitro antioxidant activity. Results: SOD, CAT and APx activity increased significantly in both PLE and geraniin-treated wound tissues compared to the untreated tissues. However, MPO activity decreased significantly in all three PLE and 0.2 and 0.4% w/w geraniin-treated wound tissues compared to the untreated tissues. MDA levels decreased significantly in all of the PLE and geraniin-treated wound tissues compared to the untreated tissues. Ferric reducing antioxidant power (FRAP) was observed to be significantly lower for PLE than geraniin.
Does Business Model Innovation Enhance the Sustainable Development of New Ventures? Understanding an Inverted-U Relationship

Improving the sustainable development of new ventures and helping them survive and develop in the entrepreneurial environment are important research issues. Business model innovation is considered as a potential way for new ventures to enhance their sustainable development capability and performance. Although previous studies have pointed out that there is a positive linear relationship between business model innovation and sustainable development, little research has found the nonlinear relationship between them, as well as the moderating effects of competitive strategy innovation and strategy flexibility. In this study, an empirical model was established to test our hypotheses and answer our research questions. Analysis of data collected from 326 questionnaires shows that an inverted-U relationship exists between business model innovation and sustainable development such that new ventures with low or high business model innovation have worse sustainable development than new ventures with appropriate business model innovation. Moreover, this paper finds that competitive strategy innovation and strategic flexibility positively moderate the inverted-U relationship between business model innovation and sustainable development of new ventures. From a theoretical perspective, this study offers a model with which to understand the impacts of business model innovation, and contributes significantly to the research on new ven- tures. From a practical perspective, this paper provides new insights into the management of new ventures and recommends several practical strategies for managers and practitioners.
A novel energy-based model for predicting the fatigue life of the automobile sealant adhesively bonded butt joints

Abstract The evolution of dissipation energy of the uniaxial and multiaxial fatigue experiments on the automobile sealant adhesively bonded butt joints was investigated by the method of fatigue dissipation energy analysis and fatigue failure identification. The results demonstrated that the dissipation energy increased and the fatigue life decreased with the increase of stress amplitude, mean stress, and the decrease of cycle time. Meanwhile, the non-proportional loading path resulted in greater dissipation energy and shorter fatigue life than that of uniaxial and proportional loading path. Moreover, the existing energy-based model using the energy dissipated in different cyclic loading stages as the fatigue parameters were adopted to predict the fatigue life of the automobile sealant adhesively bonded butt joints, respectively. The practical limitations of the prediction model using the total dissipation energy as the fatigue parameter were evaluated. Therefore, a novel energy-based fatigue life prediction model was proposed which using the partial steady stage of dissipation energy curves as the parameters. The predicted results of the novel model and the comparison with that of the existing energy-based model indicated that the novel model had an excellent ability to predict the fatigue life, and was more practical in engineering application for the automobile sealant adhesively bonded butt joints.
Top-Down Synthesis of a Lamivudine-Zidovudine Nano Co-Crystal

Lamivudine (3TC) and zidovudine (AZT) are antiretroviral agents used to manage HIV/AIDS infection. A wet media milling top-down approach was used to develop and produce nano co-crystals of 3TC and AZT. Micro co-crystals were prepared by solvent evaporation and subsequently milled in the presence of two surfactants, viz., sodium lauryl sulfate (SLS) and α-tocopheryl polyethylene glycol succinate 1000 (TPGS 1000). Optimisation was undertaken using design of experiments (DoE) and response surface methodology (RSM) to establish and identify parameters that may affect the manufacturing of nano co-crystals. The impact of SLS and TPGS 1000 concentration, milling time, and number of units of milling medium on the manufacturing of nano co-crystals, was investigated. The critical quality attributes (CQA) monitored were particle size (PS), Zeta potential (ZP), and polydispersity index (PDI). Powder X-ray diffraction, Fourier transform infrared spectroscopy, differential scanning calorimetry, transmission electron microscopy, energy dispersive X-ray spectroscopy scanning electron microscopy, and cytotoxicity assays were used for additional characterization of the optimised nano co-crystal. The mean PS, PDI, and ZP of the optimised top-down nanocrystal were 271.0 ± 92.0 nm, 0.467 ± 0.073, and −41.9 ± 3.94 mV, respectively. In conclusion, a simple, inexpensive, rapid, and precise method of nano co-crystal manufacturing was developed, validated, and optimised using DoE and RSM, and the final product exhibited the target CQA.
Preservice teachers’ perceptions of a lesson study connecting multicultural literature with culturally responsive mathematics teaching

This study examines preservice teachers’ perceptions about a microteaching lesson study (MLS) that integrated multicultural literature to elicit culturally responsive mathematics teaching (CRMT) during a mathematics methods course. Participation in the MLS’ iterative cycle of plan-teach-revise encouraged preservice teachers to develop their pedagogical knowledge, make cultural connections from texts to mathematical concepts, and engage in productive reflection. The MLS also provided preservice teachers with a supportive peer learning community that fostered collaborative learning to improve professional practice around CRMT. Suggestions are shared for how similar practicebased experiences can be used to enhance teacher education with focused practice addressing mathematical thinking, language, culture, and social justice.
The Optimum Field Configuration for Active MASW Survey on Peat Soil

The application of the MASW method on engineering investigation required optimization of the field configuration to ensure high quality dispersion image for reasonable shear wave velocity profile estimation. The limited investigation with respect to peat soil condition has motivated the study to determine the optimum field configuration for peat soil. The challenging characteristics of peat soil including high void ratio, compressibility, water content and low shear strength further complicates the determination of optimum field configurations. The study focused on the determination of optimum field configurations for active MASW method which includes the receiver spacing, source offset, sensor frequency and sampling interval. The results obtained shows that, the optimum receiver spacing to obtain high signal to noise ratio dispersion image was 1 meter. Smaller receiver spacing causes domination of higher modes and wide bandwidth, while longer receiver spacing causes significant drop in signal to noise ratio governed by rapid energy dissipation with distance. For the source offset, the distance of half the total spread length (X1 = L/2) provides the best resolution and minimised near-field and far-field effect. While, 4.5 Hz sensor frequency and sampling interval between 100 to 250 s provides sufficient low frequencies for deeper depth investigation and denser data. Overall, the influence of receiver spacing, source offset and sensor frequency on the dispersion image resolution was significant.
Hybrid Deep Learning Model Based Indoor Positioning Using Wi-Fi RSSI Heat Maps for Autonomous Applications

Positioning using Wi-Fi received signal strength indication (RSSI) signals is an effective method for identifying the user positions in an indoor scenario. Wi-Fi RSSI signals in an autonomous system can be easily used for vehicle tracking in underground parking. In Wi-Fi RSSI signal based positioning, the positioning system estimates the signal strength of the access points (APs) to the receiver and identifies the user’s indoor positions. The existing Wi-Fi RSSI based positioning systems use raw RSSI signals obtained from APs and estimate the user positions. These raw RSSI signals can easily fluctuate and be interfered with by the indoor channel conditions. This signal interference in the indoor channel condition reduces localization performance of these existing Wi-Fi RSSI signal based positioning systems. To enhance their performance and reduce the positioning error, we propose a hybrid deep learning model (HDLM) based indoor positioning system. The proposed HDLM based positioning system uses RSSI heat maps instead of raw RSSI signals from APs. This results in better localization performance for Wi-Fi RSSI signal based positioning systems. When compared to the existing Wi-Fi RSSI based positioning technologies such as fingerprint, trilateration, and Wi-Fi fusion approaches, the proposed approach achieves reasonably better positioning results for indoor localization. The experiment results show that a combination of convolutional neural network and long short-term memory network (CNN-LSTM) used in the proposed HDLM outperforms other deep learning models and gives a smaller localization error than conventional Wi-Fi RSSI signal based localization approaches. From the experiment result analysis, the proposed system can be easily implemented for autonomous applications.
Making it “Easy to Help”: The Evolution of Norwegian Volunteer Initiatives for Refugees

At the height of the refugee reception crisis in 2015, a large number of volunteers across Norway mobilized to bring assistance in different forms. The two most notable initiatives were Refugees Welcome Norway (RWN) and A Drop in the Ocean ( Dråpen i Havet , DiH). RWN focused on those arriving in Norway and DiH on those arriving in Greece. Looking at these two initiatives’ organizational trajectories together allows us to examine how they managed the transition from the immediate ‘crisis’ and large volunteer mobilization to finding a role for themselves in the longer-term. Drawing on social movement theory and literature on humanitarian action, the article argues that the two organizations, while adapting in different ways, focused their organizations around ‘making it easy’ for volunteers to help. The article explores how this allowed to forge their distinct identity in the organizational landscape, while also engaging with volunteers’ ‘need to do something’.
High Harmonic Spectroscopy of Complex Molecules

High harmonic spectra of molecular isomers enable us to probe the dependence of molecular structure on ionization and recombination in a strong laser field. We compare detailed measurements of high harmonic generation (HHG) in various randomly oriented polyatomic molecules (C4H8, C4H10, and C3H8O) and show that harmonic spectra differ due to slight changes in molecular structure such as addition of a double bond or adding a hydroxyl group. We also observe differences in harmonic spectra between molecular isomers of these molecules and we attribute our results to changes in ionization yields which can be influenced by strong differences in electron localization. Our experimental results on the molecular isomers are confirmed by theoretical calculations of angle-dependent ionization yields. Our experimental results also show that isomeric effects in high harmonic spectroscopy are less apparent for structural isomers compared to cis-trans
On the Observability and Observer Design on the Special Orthogonal Group Based on Partial Inertial Sensing

The aim of this article is to discuss the observability properties and observer design for the attitude of a rigid body, under conditions of partial inertial sensing. In particular, we introduce an observability analysis tool for the attitude dynamics when only accelerometer and gyroscope measurements are available, as in several robotics applications. In various scenarios, in fact, the measurement of the magnetic field via a magnetometer is unreliable, due to magnetic interferences. Herein, we first focus on a formal observability analysis, which reveals that the target dynamics is <italic>weakly locally observable</italic>, but not first-order observable. The lack of first-order observability prevents standard observers from achieving global convergence. Therefore, we discuss a more suitable approach for observer design to deal with this problem. The proposed approach is validated by providing numerical and experimental results. The former show that the proposed approach is able to achieve convergence (final error 0.004<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula>). Experiments validate our inference about observability and show the improvements brought by the proposed approach concerning the error convergence (final error 0.15<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula>).
Energy-Saving Inertial Drive for Dual-Frequency Excitation of Vibrating Machines

The low energy efficiency and excessive power of electric motors of large-scale vibrating machines for processing bulk materials motivated a new design of the inertial drive. This drive consists of one motor and two coaxial unbalanced masses, whose rotational frequencies are related in the ratio 2:1. This approach allows for a generation of the excitation force with variable amplitude and frequency, which changes depending on the inertial characteristics and shaft rotation frequency and does not relate to the phase difference of the unbalanced masses. Because of this, the symmetry axis of the resulting vector hodograph can be changed. The spectral composition of the exciting force up to 200 Hz contains higher harmonics, the energy share of which is 25.4% from the 2nd harmonic and 14.1% from the 3rd and higher harmonics that correspondingly improves bulk material treatment in comparison to single-frequency vibrators. The finite element model is used for checking the strength capacity of the most loaded units of a dual-frequency drive. Its use allows the realization of complex trajectories of motion that are more technologically efficient for variable parameters of the treated media and energy saving in sieving screens and other vibrating machines.
Linkage between Job Satisfaction, Democratic Leadership Style and the Organizational Commitment of Employees of Privates of Bank in Nepal

This study investigated the effect of job satisfaction and perceived democratic leadership style of the managers on the organizational commitment of the employees working in the private banks in Nepal. The population in this study was all employees working in the private banks in Nepal. A hybrid instrument, which comprised pre-tested instruments, was used to collect the data. The analytical method used to test the hypothesis of the research was multiple regression analysis. Statistical Package for Social Science (SPSS), version 25, was used for analyzing the data. The study's findingsjob satisfaction of the employees and their perception of the democratic leadership style of their managers, had a significant positive impact on their organizational commitment. This study's originality is that this study shows how the employees' perception of their manager's democratic leadership style and their job satisfaction affect their organizational commitment to the Nepalese context.
Blessings and Curses: Exploring the Experiences of New Mothers during the COVID-19 Pandemic

The aim of this study was to explore the postpartum experiences of new parents during the COVID-19 pandemic. The postpartum period can be a time of significant transition, both positive and negative, for parents as they navigate new relationships with their babies and shifts in family dynamics. Physical distancing requirements mandated by public health orders during the COVID-19 pandemic had the potential to create even more stress for parents with a newborn. Examining personal experiences would provide health care professionals with information to help guide support during significant isolation. Feminist poststructuralism guided the qualitative research process. Sixty-eight new mothers completed an open-ended on-line survey. Responses were analyzed using discourse analysis to examine the beliefs, values, and practices of the participants relating to their family experiences during the pandemic period. It was found that pandemic isolation was a time of complexity with both ‘blessings and curses’. Participants reported that it was a time for family bonding and enjoyment of being a new parent without the usual expectations. It was also a time of missed opportunities as they were not able to share milestones and memories with extended family. Caring for a newborn during the COVID-19 pandemic where complex contradictions were constructed by competing social discourses created difficult dichotomies for families. In acknowledging the complex experiences of mothers during COVID-19 isolation, nurses and midwives can come to understand and help new parents to focus on the blessings of this time while acknowledging the curses.
Can an Ecological, Multilingual Approach Help Us to Better Support Reunited Refugee Families in Scotland with Language Learning?

This paper seeks to explore the relationship between academic literature, policy, and practice in terms of language learning within the specific context of refugee families who have recently reunited in Glasgow through the British Red Cross Family Reunion Integration Service. The paper presents research findings from a pilot teaching study, working collaboratively with participants within their first few weeks of arriving in Scotland to explore whether an ecological, multilingual approach to language learning is effective in this context. Building on principles of translanguaging with participants using their full “linguistic repertoire” (Garcia & Kleifgen, 2010) and drawing on Norton’s construct of “investment” (2013) the paper explores key themes of empowerment and identity in the classroom. The results enable us to draw conclusions regarding the balance of power in the classroom and the impact of the recognition of refugees’ own languages within the learning process.