Miracle-dz/UniFAR-FTUs huggingface dataset:
Business Models for Sustainable Technology: Strategic Re-Framing and Business Model Schema Change in Internal Corporate Venturing

Established firms often develop new businesses through internal corporate venturing (ICV), for instance, to capture value from novel sustainable technologies. We illuminate the early definition stage of ICV’s by asking: When and how business model schemas—that is, managerial understandings of how value is created and captured—change in ICV? We conduct a qualitative, embedded case study of the change in a business model schema for e-mobility in a Swiss utility’s ICV. We uncover a key trigger: strategic re-framing—the active re-formulation of the definition of a given situation within ICV–top manager interactions. The strategic re-framing’s specificity level provokes either schema restrictions or expansions via the distinct accommodation practices it induces. Our theoretical model of business model schema change contributes to the literatures on managerial cognition, business models, and ICV, suggesting that business model schema change in ICV is a semi-autonomous process that involves both independent and joint endeavors.
Review on Offloading of Vehicle Edge Computing

Vehicle edge computing (VEC) is a new technology that can extend computing and storage functions to the edge of the Internet of Things (IoT) systems. For limited computing power and delay sensitive mobile applications on the Internet of Vehicles (IOV). It is important to offload computing tasks to the end of the VEC network. Still, High mobility data security and privacy resource management and the randomness of IOV brought about new problems to the offloading of VEC. To this end, this study focuses on the offloading of computing tasks in VEC. We survey principal offloading schemes and methods in the VEC field and classify the current offloading of computing tasks into different categories. We also discuss the prospect of VEC. This survey could give a reference for researchers to find and understand the important characteristics of VEC, which helps choose the optimal solutions for the offloading of computing tasks in VEC.
The mediating role of organizational commitment and organizational citizenship behavior on the effect of organizational justice on the performance of civil servants

This study aimed to develop a conceptual model of the mediating role of organizational commitment and organizational citizenship behavior on the influence of organizational justice on the performance of civil servants in the Pekanbaru Municipal Government. The sample was 147 civil servants in the Pekanbaru Municipal Government. The sampling was done using systematic sampling while the data processing was done using Structural Equation Modeling Partial Least Square (SEM PLS). The findings in this study are organizational justice has a positive influence on the performance of civil servants in the Pekanbaru Municipal Government, organizational citizenship behavior mediates the influence of organizational justice on the performance of civil servants in the Pekanbaru Municipal Government, organizational commitment does not mediate the influence of organizational justice on the performance of civil servants in the Pekanbaru Municipal Government. The most effective pathway in influencing employee performance is the mediating pathway of organizational citizenship behavior on the influence of organizational justice on the performance of civil servants.
Altered Medial Prefrontal Connectivity in Parkinson's Disease Patients with Somatic Symptoms

The high co‐occurrence of somatic symptom disorder (SSD) in Parkinson's disease (PD) patients suggests overlapping pathophysiology. However, little is known about the neural correlates of SSD and their possible interactions with PD. Existing studies have shown that SSD is associated with reduced task‐evoked activity in the medial prefrontal cortex (mPFC), a central node of the default‐mode network (DMN). SSD is also associated with abnormal γ‐aminobutyric acid (GABA) content, a marker of local inhibitory tone and regional hypoactivity, in the same area when SSD co‐occurs with PD.
Efficient, fast and low-cost strategies for DNA extraction from different nucleated sheep cells

DNA extraction is usually the first step to perform molecular studies. This process can be nonviable due to genomic DNA (gDNA) extraction commercial kits prices. Furthermore, available DNA extraction protocols generally have high specificity, limiting their use to specific sources of biological material. In order to reduce costs, optimize time and laboratory logistics, besides to demonstrate a versatile protocol, the present study worked on an efficient DNA extraction protocol from somatic and non-somatic cells, using biological material from sheep as a model. For that, gDNA was extracted from whole blood, spermatozoa, and hair bulb cells, collected from three adult sheep, transported at 5ºC and stored at -20ºC until lab procedures. After extraction, gDNA concentration and purity were evaluated in a nano spectrophotometer. gDNA concentration from whole blood was greater (p < 0.05) than extracted from hair bulb cells, which in turn was superior (p < 0.05) than in spermatozoa. Also, gDNA from whole blood and, followed by, sperm showed greater (p < 0.05) purity when compared to gDNA of hair bulb cells. Adapting a gDNA extraction protocol, originally developed for bovine whole blood, enabled to obtain and isolate gDNA in different nucleated sheep cells
Application of Block Chain Technology in Virtual Power Plant

The emergence of distributed energy, such as energy storage, electric vehicles, distributed renewable energy and controllable load, has brought great subversive and transformative effects to the current power system because it is mainly centralized. Emerging new energy technologies and Internet technologies promote the evolution of power system from smart grid to energy Internet. In the future, the primary energy of energy Internet will be mainly distributed energy. Virtual power plant (VPP) is an important branch of energy Internet. Virtual power plant technology can aggregate distributed energy and establish virtual power resource transaction. In order to deal with the real-time electricity price of the future energy Internet, the virtual power plant model based on block chain is established because of the characteristics of block chain security, decentralization and transparency.
Albumin Stabilized Fe@C Core–Shell Nanoparticles as Candidates for Magnetic Hyperthermia Therapy

Carbon-encapsulated iron nanoparticles (Fe@C) with a mean diameter of 15 nm have been synthesized using evaporation–condensation flow–levitation method by the direct iron-carbon gas-phase reaction at high temperatures. Further, Fe@C were stabilized with bovine serum albumin (BSA) coating, and their electromagnetic properties were evaluated to test their performance in magnetic hyperthermia therapy (MHT) through a specific absorption rate (SAR). Heat generation was observed at different Fe@C concentrations (1, 2.5, and 5 mg/mL) when applied 331 kHz and 60 kA/m of an alternating magnetic field, resulting in SAR values of 437.64, 129.36, and 50.4 W/g for each concentration, respectively. Having such high SAR values at low concentrations, obtained material is ideal for use in MHT.
Development of a satellite SAR image spectra and altimeter wave height data assimilation system for ERS-1

The applicability of ERS-1 wind and wave data for wave models was studied using the WAM third generation wave model and SEASAT altimeter, scatterometer and SAR data. A series of global wave hindcasts is made for the surface stress and surface wind fields by assimilation of scatterometer data for the full 96-day SEASAT and also for two wind field analyses for shorter periods by assimilation with the higher resolution ECMWF T63 model and by subjective analysis methods. It is found that wave models respond very sensitively to inconsistencies in wind field analyses and therefore provide a valuable data validation tool. Comparisons between SEASAT SAR image spectra and theoretical SAR spectra derived from the hindcast wave spectra by Monte Carlo simulations yield good overall agreement for 32 cases representing a wide variety of wave conditions. It is concluded that SAR wave imaging is sufficiently well understood to apply SAR image spectra with confidence for wave studies if supported by realistic wave models and theoretical computations of the strongly nonlinear mapping of the wave spectrum into the SAR image spectrum. A closed nonlinear integral expression for this spectral mapping relation is derived which avoids the inherent statistical errors of Monte Carlo computations and may prove to be more efficient numerically.
A STUDY OF BARRIERS HINDERING CONTRACTOR’S COMPLIANCE WITH H&S STANDARDS IN GHANA

In general, the construction industry is one of the world’s occupational settings that has high incidents of fatalities and injury rates. Developing countries, Ghana inclusive are faced with much more challenges to effective management of occupational health and safety due to the increasing rate of industrialization and weak occupational health and safety framework. The study aims to examine barriers faced by construction companies while implementing health and safety standards. The study adopted a quantitative approach. Two hundred and one (201) members of construction companies and One hundred and forty-three (143) officers of Regulatory Institutions (RIs) responded to the questionnaires distributed. The findings indicated that construction firms while implementing health and safety standards face barriers including lack of H&S officers on sites, higher cost, lack of contractor’s safety awards scheme, lack of clarity of instructions, lack of motivational package, lack of suitable health and safety education, and related cost. The study put forward various recommendations to overcome such challenges. Keywords: Health and Safety, Compliance, Construction, Contractors, Projects, Ghana.
A Comparison of Inhaled Epoprostenol in Patients With Acute Respiratory Distress Syndrome and COVID-19-Associated Acute Respiratory Distress Syndrome

Introduction Acute respiratory distress syndrome (ARDS) and coronavirus disease 2019 (COVID-19)-associated acute respiratory distress syndrome (CARDS) are both characterized by non-cardiogenic pulmonary edema and severe hypoxemia that leads to a high percentage of patients suffering in-hospital mortality. Mechanistically, inhaled epoprostenol (iEPO) has shown a role in the treatment of ARDS and CARDS but little data are available directly comparing the two disease processes. Due to the lack of evidence of iEPO in ARDS and CARDS, the authors sought to compare the pulmonary effects of iEPO for mechanically ventilated patients with CARDS against a case match control of those with ARDS. Methods A retrospective cohort of all patients receiving iEPO between January 1, 2020, and February 22, 2022, was reviewed. Patients with ARDS were case-matched in a 2:1 allocation ratio of CARDS to ARDS by the number of medical comorbidities and age +/- 5 years. Clinical data collected included patient demographics, laboratory values, ventilator settings, length of hospitalization, and 28-day mortality. Comparisons of the effectiveness of iEPO between ARDS and CARDS were conducted using the chi-squared statistic for categorical variables and the Mann-Whitney statistic for continuous variables. Results A total of 72 patients were included in the final analysis, with 24 having ARDS and 48 CARDS. The number of medical comorbidities was no different for patients with ARDS or CARDs (p = 0.18), though the frequency of patients diagnosed with coronary artery disease (p=0.007), congestive heart failure (p=0.003), chronic obstructive pulmonary disease (p=0.004), and pulmonary hypertension (p=0.004) did vary between the two groups. A moderate but non-significant difference in pre-iEPO partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FiO2) ratio was noted between the groups (0.74 vs 0.65; p=0.33). Following iEPO treatment, patients with ARDS showed a greater PaO2/FiO2 ratio than those with CARDS (0.87 vs 0.70; p=0.02). CARDS patients who received iEPO had a longer length of stay as compared to those with ARDS (17.5 vs 12.5 days; p=0.01). However, no difference was noted in 28-day mortality between the two groups (14 vs 34; p=0.29). Conclusion In this small sample from a single community hospital, a statistically significant improvement in the PaO2/FiO2 ratio was noted for both those with ARDS and CARDS. However, those with CARDS who were given iEPO had a longer length of stay without a significant difference in mortality as compared to those with traditional ARDS.
Trauma Recovery Rubric: A Mixed-Method Analysis of Trauma Recovery Pathways in Four Countries

Research is beginning to examine gender-based violence (GBV) survivors’ recovery, but little is known about diverse recovery trajectories or their relationships with other distress and recovery variables. This interdisciplinary, international multisite mixed-method study developed and used the TRR to identify and classify survivors’ trauma pathways. This study describes the phases of the initial development of the preliminary TRR (Phase 1), refines and calibrates the TRR (Phase 2), and then integrates the TRR into quantitative data from four countries (Phase 3). Seven recovery pathways with six domains emerged: normalizing, minimizing, consumed/trapped; shutdown or frozen, surviving, seeking and fighting for integration; finding integration/equanimity. Depression scores were related to most recovery domains, and TRR scores had large effect sizes. At the same time, PTSD was not statistically related to TRR scores, but TRR had a medium effect size. Our study found that the TRR can be implemented in diverse cultural settings and promises a reliable cross-cultural tool. The TRR is a survivor-centered, trauma-informed way to understand different survivorship pathways and how different pathways impact health outcomes. Overall, this rubric provides a foundation for future study on differences in survivor healing and the drivers of these differences. This tool can potentially improve survivor care delivery and our understanding of how to meet best the needs of the survivor populations we intend to serve.
Comparing Artifact Removal Techniques for Daily-Life Electroencephalography with Few Channels

This paper proposes a comparison between artifact removal techniques applied to real electroencephalographic data. The aim was to investigate the most suitable technique for artifact removal with a focus on wearability, portability, and low cost of the final system. A particular focus was thus put on the usage of few channels as a key feature to develop wearable and portable low-cost devices. Recent techniques relying on artifact subspace reconstruction or its Riemannian modification were considered along with more classical ones based on independent component analysis and principal component analysis. Different cut-off parameters were investigated in order to compare aggressive artifact removal to less aggressive one. The considered artifacts were divided into four categories: eye blinking, eye closing, eye moving, and muscle artifacts. Moreover, uncontaminated signal epochs were taken into account during the analysis for checking out if the artifact removal technique was affecting them too. The root means square error was exploited as the metric for assessing artifact removal. Results from three subjects suggest that artifacts subspace reconstruction is the most effective one, even when down to four channels are taken into account. Moreover, the results pave the way to the design of an hybrid technique to be applied when less than four channels are available for the analysis. Finally, optimization of the cut-off parameters should also be furtherly investigated.
Extending the HSRI tyre model for large inflation pressure changes

The choice of the optimal tyre inflation pressure is always a conflict of aims since the inflation pressure has a significant influence on safety, comfort and environmental behaviour of a vehicle. The development of a dynamic Tyre Pressure Control System (TPCS) can reduce the conflict of minimal rolling resistance and maximal traction. Driven by the requirements for autonomous driving, recently substantial progress was made to predict the road conditions precisely and robust. This premise moves the development of a Tyre Pressure Control System (TPCS) to the focus of research. To study the influence of the tyre inflation pressure on longitudinal tyre characteristics under laboratory conditions, an experimental sensitivity analysis is performed using a multivalent usable Corner Module Test Rig (CMTR) developed by the Automotive Engineering Group at Technische Universitat Ilmenau. The test rig is designed to analyse suspension system and tyre characteristics on a roller of the recently installed 4 chassis roller dynamometer. Camber angle, toe angle and wheel load can be adjusted continuously. In addition, it is possible to control the temperature of the test environment between -20°C and +45°C. The results of the experimental study, that covers a wide range of different wheel loads and inflation pressures for three different tyre variations, show a significant influence of the inflation pressure on longitudinal tyre characteristics as slip stiffness or maximum traction force. To simulate the influence of a TCPS on vehicle dynamics with a numerical simulation tool, it is essential to describe the influence of the inflation pressure on tyre characteristics correctly with a tyre simulation model. Consequently, the well-known physically based HSRI tyre model adapted from Dugoff is extended for large inflation pressure changes. The model parameters for the tyre model are determined with a parameter identification method implemented in a developed automatic MATLAB analysis tool. The extended HSRI tyre model shows a good model accuracy to represent the tyre inflation pressure dependent tyre characteristics.
Fingerprinting Saccharomyces cerevisiae Strains Using Next Generation Sequencing of PCR Amplicons Generated from Delta Elements

Abstract Identifying beer spoilage microbes is readily accomplished using PCR analyses targeting specific types of microbes, but the general classification of wild yeast versus brewing yeast using cultivation independent molecular methods has remained challenging. The approach presented in this study utilized genetic fingerprint matching to determine if an unknown yeast isolate matches the fingerprint of catalogued brewing yeast strains. Interdelta Next Generation Sequencing (NGS) fingerprints were produced using PCR amplification of delta elements, also known as long terminal repeat sequences of transposons of yeast. Fingerprints identifying different yeast strains were generated by processing reads produced by NGS of the interdelta PCR amplicons using open source software. The interdelta NGS fingerprint comprises DNA sequences that can be recorded, compared, and utilized as a fixed reference for yeast strain identification. Interdelta NGS fingerprints were shown to be reproducible and capable of distinguishing between strains of brewing yeast and wild yeast. Experimental yeast contamination demonstrated the utility of the approach for identifying in-house brewing yeast cross contamination versus foreign wild yeast contamination.
REVISITING THE WRITTEN SUBJECT-VERB AGREEMENT OF THE ELEVENTH GRADERS ON DESCRIPTIVE TEXT: SURFACE STRATEGY ANALYSIS

Many studies examining the subject-verb agreement errors in students’ writing have been conducted; however, it still needs further exploration to revisit students' success in writing a text. The objectives of this study are analyzing students' errors related to the subject- verb agreement and revisiting the success of students in writing a descriptive text. To achieve those purposes, a total of 36 students from the eleventh class Accounting 5 from SMKN 2 Kediri were asked to write descriptive text on the topic provided. In addition, the researcher also conducted interviews with the teacher and several students. The findings showed that the participants contributed three types of subject-verb agreement errors in their descriptive writing, those were omission (38%), addition (8%) and misformation (54%), then misordering error was not found in this research. It was also revealed that students are also successful in writing descriptive texts in terms of using general structures, language features, tense, and quantifiers in writing descriptive text.
Polyphyllin I Promotes Autophagic Cell Death and Apoptosis of Colon Cancer Cells via the ROS-Inhibited AKT/mTOR Pathway

Colon cancer is a common malignant tumor of the digestive tract, and it is considered among the biggest killers. Scientific and reasonable treatments can effectively improve the survival rate of patients if performed in the early stages. Polyphyllin I (PPI), a pennogenyl saponin isolated from Paris polyphylla var. yunnanensis, has exhibited strong anti-cancer activities in previous studies. Here, we report that PPI exhibits a cytotoxic effect on colon cancer cells. PPI suppressed cell viability and induced autophagic cell death in SW480 cells after 12 and 24 h, with the IC50 values 4.9 ± 0.1 μmol/L and 3.5 ± 0.2 μmol/L, respectively. Furthermore, we found PPI induced time-concentration-dependent autophagy and apoptosis in SW480 cells. In addition, down-regulated AKT/mTOR activity was found in PPI-treated SW480 cells. Increased levels of ROS might link to autophagy and apoptosis because reducing the level of ROS by antioxidant N-acetylcysteine (NAC) treatment mitigated PPI-induced autophagy and apoptosis. Although we did not know the molecular mechanism of how PPI induced ROS production, this is the first study to show that PPI induces ROS production and down-regulates the AKT/mTOR pathway, which subsequently promotes the autophagic cell death and apoptosis of colon cancer cells. This present study reports PPI as a potential therapeutic agent for colon cancer and reveals its underlying mechanisms of action.
Effects of the Partial Substitution of Corn with Wheat or Barley on the Growth Performance, Blood Antioxidant Capacity, Intestinal Health and Fecal Microbial Composition of Growing Pigs

This experiment aimed to investigate the effects of wheat and barley substitution for corn on growth performance, blood antioxidant capacity, intestinal health and fecal microbial composition in growing pigs. Eighteen healthy “Duroc × Landrace × Yorkshire” pigs (50 ± 0.85 kg) were randomly divided into three groups with six replicates and one pig per replicate. The three treatment groups were fed the basal diet (CON) based on corn and soybean meal, respectively, and the experimental group diet was partially replaced by wheat (WH) and barley (BL), respectively. The nutritional levels of the three treatments were the same. The experiment lasted 28 days. Wheat and barley partially replacing corn had no significant effects on growing pigs’ growth performance, blood antioxidant capacity and nutrient digestibility (p > 0.05). Compared with CON and BL, WH significantly increased the duodenal villus height and villus height/crypt depth ratio of growing pigs (p < 0.05). Compared with CON, WH and BL significantly increased the contents of butyric acid, propionic acid and total volatile fatty acid (VFA) in the cecum and colonic digesta of growing pigs (p < 0.05). In addition, the abundance of Turicibacter, Escherichia-Shigella and other harmful bacteria in barley and wheat diet groups were significantly decreased at the genus level (p < 0.05). The abundance of Bifidobacterium, Lactobacillus, Prevotella and Roseburia increased significantly (p < 0.05). In conclusion, barley and wheat partially replacing corn as energy feedstuffs does not affect the growth performance of pigs but can regulate intestinal flora and promote intestinal health.