Miracle-dz/UniFAR-FTUs huggingface dataset:
A bibliometric review of service ecosystems research: current status and future directions

Purpose Service ecosystems are becoming an important domain of joint value creation and resource integration, and the literature in the field is burgeoning. The recent growth in the literature warrants consolidating the findings of the existing literature, summarizing the recent development and identifying avenues for more impactful future research on the topic. This study aims to map the service ecosystems research domain and synthesize insights by integrating qualitative content analysis with quantitative data analysis. Design/methodology/approach This paper uses algorithmic bibliometric review (quantitative) with VOSviewer and R-package and content analysis (qualitative) on 119 service ecosystems papers published between 2003 and 2020. Findings The bibliometric analysis uncovers the critical research domains, knowledge trajectories, influential authors and journals and author networks in the field. The content analysis identifies the four most important research themes (value creation, change triggers, strategic and entrepreneurial action and institutional embeddedness and agency) and provides an integrative view of the dynamics among these themes. The authors also find the need for more empirical and theory grounded research around these four themes. Furthermore, based on the review, the authors discuss the disciplinary identity of the service ecosystems field and suggest interesting future research opportunities, along with ideas for useful empirical approaches and theoretical extensions. Originality/value This study’s comprehensive analysis offers an overview of the evolution and identity of the service ecosystems research and identifies several promising opportunities for future research on service ecosystems.
Influence of Angiopoietin Treatment with Hypoxia and Normoxia on Human Intervertebral Disc Progenitor Cell’s Proliferation, Metabolic Activity, and Phenotype

Increasing evidence implicates intervertebral disc (IVD) degeneration as a major contributor to low back pain. In addition to a series of pathogenic processes, degenerated IVDs become vascularized in contrast to healthy IVDs. In this context, angiopoietin (Ang) plays a crucial role and is involved in cytokine recruitment, and anabolic and catabolic reactions within the extracellular matrix (ECM). Over the last decade, a progenitor cell population has been described in the nucleus pulposus (NP) of the IVD to be positive for the Tie2 marker (also known as Ang-1 receptor). In this study, we investigated the influence of Ang-1 and Ang-2 on human NP cell (Tie2+, Tie2− or mixed) populations isolated from trauma patients during 7 days in normoxia (21% O2) or hypoxia (≤5% O2). At the end of the process, the proliferation and metabolic activity of the NP cells were analyzed. Additionally, the relative gene expression of NP-related markers was evaluated. NP cells showed a higher proliferation depending on the Ang treatment. Moreover, the study revealed higher NP cell metabolism when cultured in hypoxia. Additionally, the relative gene expression followed, with an increase linked to the oxygen level and Ang concentration. Our study comparing different NP cell populations may be the start of new approaches for the treatment of IVD degeneration.
DIY assessment feedback: Building engagement, trust and transparency in the feedback process

This study evaluates a novel assessment and feedback process in which students were tasked with actively engaging in the feedback process in a ‘DIY’ – do-it-yourself – assessment feedback workshop. The research team set out to explore how an active participation in the construction of the assessment criteria and utilisation of that co-constructed criteria would affect the students’ engagement with assessing their own work. Through providing the space in which students were encouraged to use criteria to mark their own work, the research team aimed to build the students’ trust and confidence in the transparency of the assessment process. The main findings of this study have shown the value of this DIY assessment feedback workshop, as it has proven to encourage a deeper level of reflection in the student participants and catalysed a greater connection between the learning process of assessment feedback with both their past and future assessments.
Pixton as a digital teaching tool to encourage the writing skill

El uso de las Tecnologías de la Información y la Comunicación (TIC) en la educación ha aumentado debido a la era tecnológica en la que vivimos hoy en día. La enseñanza del inglés también exige estar informado de las nuevas tendencias docentes que ofrece la tecnología. Como resultado, los profesores deben ser conscientes del papel importante que desempeña la tecnología en la enseñanza-aprendizaje del inglés. Es por eso que esta investigación tiene como objetivo analizar si Pixton, una herramienta de narración digital, mejora la habilidad de escritura en los estudiantes de inglés en la educación superior. Se llevo a cabo en un Instituto educativo en Ecuador con una población objetivo de cuarenta y ocho estudiantes de un nivel A2. Se realizó una investigación cuasi-experimental donde veinte cuatro estudiantes fueron el grupo experimental y los otros veinte cuatro fueron el grupo control. Se aplicó una prueba previa para ambos grupos para evaluar sus habilidades de escritura. Después de eso, los estudiantes de ambos grupos tomaron una prueba posterior para determinar si Pixton (la narración digital) utilizado durante las clases hizo alguna diferencia en el rendimiento de las habilidades de escritura. Los resultados indicaron que los estudiantes que formaron parte del grupo experimental tuvieron un promedio más alto en la prueba posterior de escritura en comparación con el promedio del grupo control. Por lo tanto, los estudiantes del grupo experimental superaron a los estudiantes del grupo control. Debido a este hecho, el uso de Pixton como una herramienta digital de narración de cuentos facilita la habilidad de escritura en los estudiantes de nivel A2 en el instituto.
Interaction Between Insecticide Resistance-Associated Genes and Malaria Transmission in Anopheles Gambiae S. L. During a Cluster-Randomized Controlled Trial of A “lethal House Lure” in Central Côte D’ivoire

Background There is evidence that the Kdr L1014F and Ace-1R G119S mutations involved in pyrethroid and carbamate resistance in Anopheles gambiae influence malaria transmission in sub Saharan Africa. This is likely due to changes in behavior, life history, vectorial competence and capacity. In the present study, performed as part of a two-armed cluster randomized controlled trial (CRT) evaluating the impact of household screening plus a novel insecticide delivery system (In2Care EaveTubes), we investigated the distribution of insecticide target site mutations and their association with the infection status in wild An. gambiae s.l populations. Methods Mosquitoes were captured in 40 villages around Bouaké by human landing catches (HLC), from May 2017 to April 2019. Randomly selected sample of infected and uninfected An.gambiae s.l. with Plasmodium sp. were identified to species and then genotyped for Kdr L1014F and Ace-1R G119S mutations using quantitative polymerase chain reaction (qPCR) assays. The frequencies of the two alleles were compared between An. coluzzii and An. gambiae and then between infected and uninfected groups for each species. Results The presence of An. gambiae (49 %) and An. coluzzii (51%) was confirmed in Bouaké. Both species seemed to transmit equally Plasmodium parasites. Over the study period, the average frequency of the Kdr L1014F and Ace-1R G119S mutations did not vary significantly between study arms. However, the frequency of the Kdr L1014F and Ace-1R G119S resistance alleles were significantly higher in An. gambiae than in An. coluzzii (OR [95%CI]: 59.64 [30.81-131.63] for Kdr and OR [95%CI]: 2.79 [2.17–3.60], for Ace-1R). For both species, there were no significant differences in Kdr L1014F or Ace-1R G119S genotypic and allelic frequency distribution between infected and uninfected specimens (p > 0.05). Conclusions Either alone or in combination, Kdr L1014F and Ace-1R G119S showed no significant association with Plasmodium infection in wild An.gambiae and An. coluzzii, demonstrating similar competence for Plasmodium transmission in Bouaké. Additional factors influencing competence in natural population and those outside allele measurements contributing to resistance should be consider when establishing link between insecticide resistance and vector competence.
Telomere Length Inheritance throughout Generations: Role of Germ Cell Mortality

Telomere is a structure of the repetitive DNA sequence TTAGGG and protein complex, found in vertebrates. This protein complex is known as the shelterin complex. It is localized at the end of each chromosome to protect them from deterioration or fusion with other chromosomes. Although as being part of a chromosome, the telomere is inherited from parents to their offspring, its mode of inheritance is a crucial part of the genetic transmission process. Theoretically, germ cells are thought to be immortal as they link generations, suggesting that telomere length is completely inherited. Furthermore, several studies reported that sperm telomere length gets elongated with age. This observation is consistent with other studies, which have reported that, with advancing paternal age at the time of conception, telomere length of the offspring gets increased. However, the mechanism by which telomere becomes longer is not fully understood. Moreover, it has been reported that there is a negative correlation between maternal age at conception and the offspring’s telomere length; whereas other studies reported that there is no correlation between those data. Herein, we review our current understanding of these topics and compare different aspects of the telomere length behavior in germ cells, germ cells mortality and, in accordance, the risks of aging on reproduction.
The Potential of Vā Part 2: Theoretical Frameworks of the Vā

The article presented is part of a series of articles that composed an exegesis, submitted in fulfilment of the requirements for the degree of Doctor of Philosophy. The series is a narrative of discovery through practice-led research. Each article reveals its purpose and significance that leads into the next series, which then eventuate to that final design proposal. The exegesis is presented in this format, to break down the components that assisted in practice-led research. Each article can be read and unpacked on its own as a learning tool. The purpose of this edited series is for the exegesis to be more accessible and adaptable creatively to those being introduced to practice-led research.
Cuff Leak Test for Predicting Post Extubation Stridor in Intubated Adult Patients- A Prospective Observational Study

Aim: This study aimed to evaluate whether the Cuff Leak Test (CLT) helps to predict post-extubation stridor (PES) in intubated patients. Materials and Method: A prospective observational study was conducted in the adult ICUs of a tertiary care hospital. Patients who were intubated and ventilated for more than 3 days were enrolled in the study if inclusion and exclusion criteria were met.Standard cuff pressure was maintained throughout the course of intubation of the patients. CLT was conducted before the extubation and cuff leak volume was noted for all patients. A cuffleak volume of ≤140ml was considered a positive cuff leak test. Results: A total of 53 patients were enrolled in the study with a mean age of 62±16 years. The overall incidence of PES was found to be13.2%. A total of 19 (34.85%) patients had a positive CLT of which, 4 patients developed PES and of the 34 patients with negative cuff leak test, 3 patients developed PES. Overall, the cuff leak volume in PES group was comparatively lower than non-PES group. Age, gender, duration of intubation, chronic morbidities and even cuff leak volume were not statistically significant in predicting PES. Conclusion: Positive CLT or the absolute leak volume does not accurately predict the PES in intubated patients
Background Modeling Combined With Multiple Features in the Fourier Domain for Maritime Infrared Target Detection

To detect ship targets in dynamic sea backgrounds, a robust foreground detection method based on background modeling combined with multiple features in the Fourier domain (BMMFF) is proposed. Because the fluctuation of seawater is similar to a sine wave, the amplitude spectrum of the seawater in the Fourier domain has strong energy concentration, and the background model is built in the Fourier domain. The local statistical characteristics can effectively reflect the properties of a specific position, and the target frequency points are extracted by comparing the local statistical characteristic differences between the amplitude spectrum of the test frame and the updated background. Additionally, two different strategies are used to update the background for cases with or without sudden waves in two adjacent test frames. When the target and seawater have different contrast in different scenes, the threshold is set according to the seawater’s fluctuation degree, which is classified into three different levels in the training stage. Moreover, the linear correlation feature between the test frame and the updated background and the oscillation feature of the test frame’s amplitude spectrum are proposed in the Fourier domain, which can better segment targets in relatively calm and violent sea scenes, respectively. Thus, the two features are combined with the background model with a reasonable strategy to further improve the detection accuracy. The experimental results demonstrate that BMMFF outperforms related comparison algorithms in different challenging sea scenes. The average false alarm rate of BMMFF is reduced by approximately 30% in the case where its average detection rate is similar to that of other algorithms.
Prediction of fatal traffic accidents using one-class SVMs: a case study in Eskisehir, Turkey

Abstract The objective of this study is to investigate the applicability of one-class classification (OCC) models in traffic accident prediction. So far, the accident prediction problem has been considered as a binary classification problem in the literature. Since real accident datasets often involve only accident situations, we thought that OCC could provide more successful predictions. In this study, the fatal accidents, which occurred in Eskisehir, Turkey between 2005 and 2012 was considered. The accidents were tried to be predicted using one-class Support Vector Machine (SVM). In order to compare the performance of the OCC model, some most used binary classifiers were used. Additionally, a non-accident generation procedure was defined to add non-accident cases to the accident dataset. After training, tests were performed using one-class and binary classifiers for the test set generated from the extended dataset. As a result, the one-class SVM model outperformed the binary classification models. Besides, true and false accident alarms were also calculated. The alarm rates obtained with the OCC model also demonstrated that OCC can be suitable for accident prediction rather than binary classification.
Analytical Solutions for Gravity Changes Caused by Triaxial Volumetric Sources

Volcanic crises are often associated with magmatic intrusions or the pressurization of magma chambers of various shapes. These volumetric sources deform the country rocks, changing their density, and cause surface uplift. Both the net mass of intruding magmatic fluids and these deformation effects contribute to surface gravity changes. Thus, to estimate the intrusion mass from gravity changes, the deformation effects must be accounted for. We develop analytical solutions and computer codes for the gravity changes caused by triaxial sources of expansion. This establishes coupled solutions for joint inversions of deformation and gravity changes. Such inversions can constrain both the intrusion mass and the deformation source parameters more accurately.
Broccoli Effects on Hif-1 A in Spermatozoa Cells of Ratsthat Induces Psychological Stress

Psychological stress which has an impact on oxidative stress and impaired endothelial function. Oxidative stress and endothelial dysfunction can lead to infertility. Broccoli with SFN as an active ingredient to prevent further damage due to endothelial dysfunction. The purpose of this study was to analyze the effect of broccoli juice (Brasica oleracea L. var italica) endothelial function of spermatozoa cells in male white rats Wistar strain psychological stress model. The design used in this study is the Randomized Post Test Only Control Group Designand statistical analysis used One Way Anova. Exposure to psychological stress by changing the watchful sleep pattern, so that the experimental animals experiencing oxidative stress were found, then administering broccoli juice to the treatment group with a single dose of 3.6 g / head. The results showed significant data changes in expression of HIF 1 alpha sperm cellswith a P value of 0,000. The conclusion of this study is that there is a significant effect between the provision of broccoli juice on the expression of HIF 1 alpha spermatozoa cells exposed to psychological stress from sleep disorders.
EFFECTIVENESS OF PEACE EDUCATION MODEL FOR ALLEVIATING ACADEMIC ANXIETY OF LEARNERS

The students' life being complicated and at the same time competitive trying hard to remain alive in this competitive world and trying to solve many complicated problems in academics through the competitive mind ultimately takes a roll and the mind becomes unstable and directionless. In the process, the student develops academic anxiety related to academic circumstances, like failure in exams, time constraint; unrealistic expectation. Hence the researcher felt the need to develop peace strategies to lessen the academic anxiety among the engineering and medical learners. The quasi – Experimental pre-test post -test nonequivalent group design was used to evaluate the development of peace education among engineering and medical learners. The Peace modules were designed by the researcher and were implemented on the Experimental group of learners.The Inferential analysis was done by using the independent 't test'. The findings of the study indicated that the peace strategies used were successful.
Fosfomycin susceptibility among ESBL producing gram negative bacilli causing urinary tract infections

Urinary tract infection is one of the common infection encountered in day to day practice. Due to emergence of drug resitance among uropathogens treatment options have become limited. Fosfomycin being a safe oral antibiotic is being used widely to treat multidrug resistant uropathogens. In the present study 831 (48.45%) samples that yielded significant growth were processed out of 1715 sample for ESBL detection by double disc synergy and phenotypic confirmatory method. E.coli constituted the predominant isolate (60.4%) followed by K.pneumoniae. 256 (30.80%) samples yielding growth were from out patients and 575 from inpatients. Over all 44% of isolates in the present study were ESBL producers. 50% of Ecoli were ESBL producers. 70.64% of ESBL isolates were susceptible to fosfomycin in vitro. Present study finding suggest that resistance to fosfomysin is on rise even though majority of ESBLs were sensitive to it. The current study recommends to use fosfomycin only after testing susceptibility among uropathogens.
Association of Adverse Effects of Red Meat Consumption with Liver Cirrhosis

Objective: To determine the association of adverse outcomes in term of mortality in patients with cirrhosis and red meat consumption. Study Design: Cross-sectional Place and Duration: Medicine Department of Liaquat University Medical Hospital Jamshoro and Civil Hospital Khairpur Mir's for six months duration from December 2019 to November 2020. Methodology: Total 120 patients of both genders with chronic liver disease were enrolled in this study. Patients were categorized in to two groups. Group A (red meat consumption >60 gm/day) and group B (red meat consumption <60gm/day). Outcomes in term of mortality between both groups were examined. All the data was analyzed by SPSS 27.0. Results: There were 36 (60%) males and 24 (40%) were females with mean age 48.14±7.58 years in group A while in group B 39 (65%) and 21 (35%) patients were males and females with mean age 49.08±8.33 years. Cirrhotic patients with red meat consumption >60 gm/day had high mortality rate as compared to patients with red meat consumption <60 gm/day (10% Vs 3.33%) with p-value 0.0001. Conclusion: A significant association of adverse outcomes was found in cirrhotic patients and red meat consumption. Keywords: Chronic Liver Disease, Red Meat Consumption, Mortality
Effects of Acute Oral Exposure to Acrylamide on Histological Structures of the Stomach in Wistar Rats

Acrylamide is a toxic chemical substance with wide implementation in chemical industry. In 2002 the presence of acrylamide was discovered in foods rich in starch which are prepared at high temperatures. The aim of this study was to investi gate the histopathological changes in the gastric tissue in Wistar rats induced with injection of oral acrylamide. The research was carr ied out 6 groups of 5 animals (Wistar rats), two control groups and four experimental groups. Histological changes in the stomach tissue of Wistar rats are seen as a direct slight damage of the surface epithelium, accompanynig inflammatory reaction and renewal of the epithe lium. Examined inflammatory and degenerative parameters show a positive correlation with respect to dose and time of exposition to ac rylamide. Knowing the mechanism of action of these toxic substances, allows to apply adequate prevention in nutrition and make an appropr iate choice of therapeutic methods.
A Classification Model for Predicting Suitable Cache Level in a Multi-core Architecture

Cache memory has an important role in achieving system performance in multi-core architecture. Finding the best suitable cache configuration for an application is a very important step while designing a computer system to improve the performance. The commonly considered cache memory design parameters are the size of the cache, line size, associativity, type of cache, replacement policy, writes policy and levels of cache. Selecting these parameters decides the design goals such as system performance, energy consumption, area, scalability and programmability of an application. Cache design space is a time consuming and complex process as it involves studies on the impact of all possible cache parameter configurations on system performance. This project mainly aims at creating a model that can predict an efficient cache configuration -cache level- that is best suitable for an application in terms of energy consumption and performance in a multi-core environment using machine learning techniques such as classification. The design goal here is to predict the optimum cache levels for an application by considering the design parameters such as cache sizes, associativity, block size etc. This method will be carried out in a multi-core environment for the studies on advancements in computer architecture. The required data set is generated using two simulators such as Gem5 and CACTI. The entire process of data collection is automated via shell scripting in Unix OS and applications from different domains will be considered here with different cache parameter combinations. The performance of the classifier is measured based on the evaluation metrics such as Precision, Recall, and F- measure. Performance measurement concerning power consumption and execution time would be the figure of merits of this project.