Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSESSING ENTERPRISER PROFILES ON ENTREPRENEURIAL MANAGERIAL ACTIVITIES IN ELDORET, KENYA

The purpose of this research is to analysis of enterpriser profiles on entrepreneurial managerial in Bungoma, Kenya . Efforts have been made to support entrepreneurial managerial activities training and the provision of consultative services; interestingly, the failure rate still remains high Neither research on the entrepreneur personality nor enterpriser profiles have demonstrated a decisive influence on entrepreneurial managerial activities. The study adopted a post-positivism research , with research design of explanatory survey . The target population and sample size were adopted from a thesis selected from Eldoret, Towns . Data was analyzed quantitatively using techniques such as: Multivariate analysis, structural equation modeling. Finding indicates: entrepreneurial competencies, mentoring, enterpriser profile and enterprise success dimensions were sufficiently reliable and valid to be included in the subsequent model testing. The measurement model results suggest that the model provides a reasonably good fit and thus it was suitable . The CFA results supported the measurement model.
Teletherapy with serious mental illness populations during COVID-19: telehealth conversion and engagement

ABSTRACT The COVID-19 pandemic completely changed daily lives and psychotherapy clinical operations. Treatment engagement with serious mental illness (SMI) populations is inherently challenging. COVID-19 may pose more challenges to treatment engagement with SMI populations due to the rapid change to telehealth and exacerbation of symptoms. SMI patients may be less likely to convert to telehealth or stay engaged in treatment compared to non-SMI patients during COVID-19. Nevertheless, treatment engagement via teletherapy is vital to supporting the vulnerable SMI populations during this stressful pandemic. In this study, we compared teletherapy conversion and utilization rates between SMI and general populations in an outpatient psychiatric clinic (n = 816) during COVID-19. We found no differences in telehealth conversion for patients with SMI (52%) and non-SMI (48%), suggesting equivalent adoption of teletherapy among SMI and non-SMI populations. Beyond conversion, we found that the SMI group had a significantly greater number of teletherapy visits compared to non-SMI patients, indicating that SMI group utilized teletherapy regularly after conversion. There were no group differences in new patients beginning therapy via telehealth, which shows that the SMI group was not more deterred to seek help. Our findings inform the feasibility of telehealth for serious mental illness populations during the pandemic.
Sakarya University Journal of Science

The platooning is an emerging concept in VANETS that involves a group of vehicles behaving as a single unit via the coordination of movement. The emergence of autonomous vehicles has bolstered the evolution of platooning as a trend in mobility and transportation. The autonomous vehicles and the elimination of individual and manual capabilities introduces new risks. The safety of the cargos, passenger and the advanced technology had increased the complication of the security concerns in platooning as it may attract malicious actors. In improving the security of the platoon, the threat and their potential impacts on the vehicular systems should be identified to ensure the development of security features that will secure against the identified risks. In this paper, two critical types of security breaches were identified those are Sybil attack and Delay attacks. Those security attacks can be somewhat disruptive and dangerous to the regular operation of the platoon leading to severe injuries, increased fuel consumption and delay the performance of the network. The research in this paper focuses on design, detection and the mitigation of attacks in a vehicle platoon. priority call algorithm in combination with color-shift keying modulation is used to protect the platoon alleviating the undesirable impacts such as collisions, oscillations and disintegration in the platoon caused by the attacks .
Review of recent trends in flexible metal oxide thin-film transistors for analog applications

Thanks to the extraordinary advances flexible electronics have experienced over the last decades, applications such as conformable active-matrix displays, ubiquitously integrated disposable flexible sensor nodes, wearable or textile-integrated systems, as well as imperceptible and transient implants are now reachable. To enable these applications, specialized analog circuits able to transmit and receive data, condition sensors’ parameters, drive actuators or control powering devices are required. High-performance sensor conditioning, driving and transceiver circuits on a wide range of flexible substrates are therefore extremely important to develop. However, the currently available materials and processes compatible with mechanically flexible substrates impose massive limitations in terms of large-area uniformity, device dimensions’ shrinkability and circuit design, challenging the realization of flexible analog systems. Among state-of-the-art technologies employing low-temperature fabrication processes, thin-film transistors (TFTs) based on metal oxide semiconductors represent the potentially best compromise in terms of prize, performance, technology maturity and capacity to realize complex systems. This is why metal oxide TFTs are nowadays widely used for flexible, light-weight, transparent, stretchable and bio-degradable analog circuits and systems. Here, we review the current trends of flexible metal oxide TFTs for analog applications. First, an introduction is given, where current challenges and requirements related to the realization of flexible analog circuits and systems are analysed. Additionally, TFT performance parameters and configurations are briefly revised. Then, the recent advances in the field of flexible metal oxide TFTs for analog applications are summarized. In particular, all reported approaches to reduce the channel length and improve the AC performance are shown. Next, the current state of flexible metal oxide TFT-based analog circuits is shown, discussing n-type only and complementary circuit configurations. The last topic of the review covers systems based on flexible metal oxide analog circuits. Finally, a conclusion is drawn and an outlook over the field is provided.
Design, Modeling, and Experimental Investigation of Active Water Cooling Concentrating Photovoltaic System

This work presents performance study of a concentrating photovoltaic/thermal (CPV/T) collector and its efficiency to produce electric and thermal power under different operating conditions. The study covers a detailed description of flat photovoltaic/thermal (PV/T) and CPV/T systems using water as a cooling working fluid, numerical model analysis, and qualitative evaluation of thermal and electrical output. The aim of this study was to achieve higher efficiency of the photovoltaic (PV) system while reducing the cost of generating power. Concentrating photovoltaic (CPV) cells with low-cost reflectors were used to enhance the efficiency of the PV system and simultaneously reduce the cost of electricity generation. For this purpose, a linear Fresnel flat mirror (LFFM) integrated with a PV system was used for low-concentration PV cells (LCPV). To achieve the maximum benefit, water as a coolant fluid was used to study the ability of actively cooling PV cells, since the electrical power of the CPV system is significantly affected by the temperature of the PV cells. This system was characterized over the traditional PV systems via producing more electrical energy due to concentrating the solar radiation as well as cooling the PV modules and at the same time producing thermal energy that can be used in domestic applications. During the analysis of the results of the proposed system, it was found that the maximum electrical and thermal energy obtained were 170 W and 580 W, respectively, under solar concentration ratio 3 and the flow rate of the cooling water 1 kg/min. A good agreement between the theoretical and experimental results was confirmed.
Protein‐encoding ultraconserved elements provide a new phylogenomic perspective of Oestroidea flies (Diptera: Calyptratae)

The diverse superfamily Oestroidea with more than 15 000 known species includes among others blow flies, flesh flies, bot flies and the diverse tachinid flies. Oestroidea exhibit strikingly divergent morphological and ecological traits, but even with a variety of data sources and inferences there is no consensus on the relationships among major Oestroidea lineages. Phylogenomic inferences derived from targeted enrichment of ultraconserved elements or UCEs have emerged as a promising method for resolving difficult phylogenetic problems at varying timescales. To reconstruct phylogenetic relationships among families of Oestroidea, we obtained UCE loci exclusively derived from the transcribed portion of the genome, making them suitable for larger and more integrative phylogenomic studies using other genomic and transcriptomic resources. We analysed datasets containing 37–2077 UCE loci from 98 representatives of all oestroid families (except Ulurumyiidae and Mystacinobiidae) and seven calyptrate outgroups, with a total concatenated aligned length between 10 and 550 Mb. About 35% of the sampled taxa consisted of museum specimens (2–92 years old), of which 85% resulted in successful UCE enrichment. Our maximum likelihood and coalescent‐based analyses produced well‐resolved and highly supported topologies. With the exception of Calliphoridae and Oestridae all included families were recovered as monophyletic with the following conclusions: Oestroidea is monophyletic with Mesembrinellidae as sister to the remaining oestroid families; Oestridae is paraphyletic with respect to Sarcophagidae; Polleniidae is sister to Tachinidae; Rhinophoridae sister to (Luciliinae (Toxotarsinae (Melanomyinae + Calliphorinae))); Phumosiinae is sister to Chrysomyinae and Bengaliinae is sister to Rhiniidae. These results support the ranking of most calliphorid subfamilies as separate families.
Evaluation of interface properties of carbon fiber/resin using the full atomistic model considering the electric charge state

Evaluation of interface strength is important in composite material design such as carbon fiber reinforced plastic. Molecular simulation, which considers aspects such as chemical structure, can be used to evaluate the composite interface strength. Therefore, in this study, the interface energies between graphene, considering the electric charge state, and resin (TriA-X polyimide, DGEBA, triethylenetetramine, vinyl ester, and PA6) were evaluated via molecular dynamics simulation. First, the interface energy and experimentally obtained interface strength were compared. Subsequently, the coefficient of determination R2 was calculated using linear approximations from the interface energy and interface strength. In addition, the correlation coefficient was calculated and showed a high correlation. Based on this data, it was conjectured that a relationship exists between the interface strength and interface energy. Furthermore, the validity of the relationship magnitude between the experimentally obtained interface strength and the interface energy obtained via simulation was evaluated. Moreover, considering graphene oxidation, the interface energies between the resin and three forms of graphene (functionalized with OH, COOH, and O groups) were obtained, and the effect of various oxidation surface treatments of graphene on their corresponding interface strengths was investigated.
Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring

To this day, hyperparameter tuning remains a cumbersome task in Non-Intrusive Load Monitoring (NILM) research, as researchers and practitioners are forced to invest a considerable amount of time in this task. This paper proposes adaptive weighted recurrence graph blocks (AWRG) for appliance feature representation in event-based NILM. An AWRG block can be combined with traditional deep neural network architectures such as Convolutional Neural Networks for appliance recognition. Our approach transforms one cycle per activation current into an weighted recurrence graph and treats the associated hyper-parameters as learn-able parameters. We evaluate our technique on two energy datasets, the industrial dataset LILACD and the residential PLAID dataset. The outcome of our experiments shows that transforming current waveforms into weighted recurrence graphs provides a better feature representation and thus, improved classification results. It is concluded that our approach can guarantee uniqueness of appliance features, leading to enhanced generalisation abilities when compared to the widely researched V-I image features. Furthermore, we show that the initialisation parameters of the AWRG’s have a significant impact on the performance and training convergence.
Estimation of total phenolic content and Studies on antioxidant activity of different extracts of Cadaba farinose Forsk by hydroxy radical and iron chelating techniques

Jambula DineshBabu1, Venugopalan Santhosh Kumar*2 1Research scholar, Department of Pharmacology, School of Pharmaceutical sciences, Vels Institute of Science, Technology and advanced studies. Pallavaram, Chennai-600117. Tamilnadu, India. 2Department of Pharmacology, School of Pharmaceutical Sciences, Vels Institute of Science, Technology and advanced Studies, Pallavaram, Chennai-600117, Tamilnadu, India
Chemicals from Plants: Perspectives on Plant Secondary Products

Classes and functions of secondary products from plants, J.B. Harborne characterization and control of secondary metabolism, A.J. Paar et al agricultural production and extraction, S.G. Deans and K.P. Svoboda modern methods of secondary product separation and analysis, T.A. van Beek structure elucidation of plant secondary products, G. Massiot et al plant drug discovery and development, M. Simmonds et al conservation of plant resources, M. Simmonds and M. Maunder disease prevention and plant dietary substances, G.R. Williamson et al manipulation of plant chemical production by genetic engineering, C.R. Martin and A.J. Michael production of biologically-active proteins in plants, G. Lomonossoff biotransformations, M.C.R. Franssen et al biotechnology and plant secondary products - the future, V. De Luca.
Boundary layer flow and stability analysis of forced convection over a diverging channel with variable properties of fluids

The objective of the current study is to investigate the forced convection laminar boundary layer flow over a flat plate in a diverging channel with variable viscosity. The physical governing equations are converted to nondimensional partial differential equations (PDEs) using similarity transformation. The coupled PDEs with boundary constrains are solved numerically using quasilinearization technique. Computational results are given in terms of flow parameter ϵ ( 0 < ϵ < 1 ) , suction or injection A, and viscous dissipation parameter Ec. Stability analysis was conducted and the solutions were found to be stable for real values of γ . We found that variable Prandtl number with quasilinearization technique method gives smoothness of solution compared to fixed Prandtl number. This is shown graphically for different fluids in Section 5. Also, the significant effect of the suction/injection parameter (A) on velocity, temperature profiles, skin friction, and heat transfer is observed.
Confocal Raman imaging as a useful tool to understand the internal microstructure of multicomponent aerogels

This work was financially supported by the project RTI2018‐094408‐J‐I00 from the Spanish Ministry of Science, Innovation and Universities, the ‘Agencia Estatal de Investigacion’ and co‐funded by the European Union's Horizon 2020 research and innovation programme (ERA‐Net SUSFOOD2). Isaac Benito‐Gonzalez was recipient of an Erasmus Plus grant (European Comission Erasmus+: 2017.121178) from the Polytechnic University of Valencia (UPV) in order to carry out the experimental work at Teagasc (Fermoy, Ireland).
Development of an internationally accepted definition of reablement: a Delphi study

Abstract With an ageing society, the demand for health and social care is increasing. Traditionally, staff provide care for their clients rather than with them. In contrast, reablement aims to support people to maximise their competences to manage their everyday life as independently as possible. There is considerable variation between and within countries regarding the conceptual understanding of the approach. This variation affects the ability to evaluate reablement approaches systematically, compare and aggregate findings from different studies, and hinders the development of a robust evidence. Therefore, a Delphi study was conducted in 2018/9 with the aim of reaching agreement on the characteristics, components, aims and target groups of reablement, leading towards an internationally accepted definition of reablement. The study consisted of four Web-based survey rounds. In total, 82 reablement experts from 11 countries participated, reaching agreement on five characteristics (e.g. person-centred), seven components (e.g. goal-oriented treatment plan) and five aims (e.g. increase clients’ independency). Furthermore, most experts agreed that reablement is an inclusive approach irrespective of the person's age, capacity, diagnosis or setting. Based on these features, a definition of reablement was developed, which was accepted by 79 per cent of participating experts. This study is a significant step towards providing conceptual clarity about reablement. Future research should focus on evaluating the implementation of agreed reablement components to inform practice, education and policy.
Intestinal Microbiota and Cardiovascular Diseases

Abstract Recently, gut microbiota has emerged as an important mediator of several diseases such as diabetes, atherosclerosis, arterial hypertension, obesity, cancers and neuropsychiatric diseases including Alzheimer, autism and depression. Intestinal microbiota is formed by bacteria, fungi and viruses and its main function is to facilitate the absorption and metabolism of foods (protein, fat and carbohydrate). One example of the multiple actions of the gut microbiota is the bidirectional relationship between the intestine and the brain, the so-called “gut/brain axis”. Furthermore, [. ]
Customer experience, satisfaction and loyalty in business-to-business markets: Does the chain hold across customer segments?

The notion that the quality of a purchase experience influences customer satisfaction, which in turn could impact customer loyalty to a particular seller, is common ground in marketing literature (De Haan, Verhoef & Wiesel 2015; Olsen 2002). Business-to-business markets and the relationships that buyers and sellers construct in those markets, however, entail complex and multi-level dimensions (Lemon & Verhoef 2016; Leonidou & Hultman 2019; Roberts-Lombard, Mpinganjira & Svensson 2019). These complex relationships and concomitant customer experiences represent heterogeneity that may challenge the underlying assumptions that drive the relationship development strategies of firms (Grönroos 2017; Paparoidamis, Katsikeas & Chumpitaz 2019). Orientation: This study considers the influence of customer experience gained during sales interaction episodes on customer satisfaction, customer loyalty and ultimately willingness to recommend the focal firm in a business-to-business context and compares these associations across multiple firm-specific customer segments.
Effective Application of Solid Lubricants in Spacecraft Mechanisms

Solid lubricants, antiwear coatings, and self-lubricating composites are used in applications on spacecraft where oils and greases cannot be used because of the need to avoid lubricant volatility/migration, and where the application requires significant temperature variation, accelerated testing, higher electrical conductivity, or operation in boundary conditions. The purpose of this review is to provide spacecraft designers with tools that can aid in the effective use of solid-based tribological materials, both to increase their usage, and to reduce anomalies. The various tribological material formulations are described, including how their materials, physical, and chemical properties affect their performance. Included are typical solid lubricants like PTFE and bonded or sputter-deposited MoS2, as well as low shear metal coatings, hard coatings, and composite materials (including bulk composites and nanocomposite coatings). Guidance is given on how to develop mechanisms that meet performance requirements, but also how to optimize robustness, so that success is achieved even under unforeseen circumstances. Examples of successful applications are given, as well as how to avoid potential pitfalls, and what the future of solid tribological materials may hold.
Performance Gap and Occupant Behavior in Building Retrofit: Focus on Dynamics of Change and Continuity in the Practice of Indoor Heating

Building retrofit is often reported to fail in achieving predicted energy savings; this mismatch in post-retrofit conditions is labeled the ‘energy performance gap’ and may be due to both occupant behavior and technical issues. In this study, the occupant is investigated through a case study of a recently retrofitted public housing in Milan inhabited by 500+ tenants. Informed by social practice theory and interviews to households, concurrent and interdependent elements in heating space are identified—including factors of comfort, competences involved and other interconnected practices. Patterns of continuity and change in setting thermal conditions in this retrofitted building emerge. In this respect, key dynamics of the occupants are related to rooted habits in managing heating, social norms of thermal comfort, mastered skills in dealing with technical devices and infrastructure and ways of organizing other routines such as laundry and forms of entertainment when services are limitedly accessible. The results inform plans for energy efficiency through building retrofit in which the integration of the social dimension and practices may contribute to maximizing the impact of the intervention and to limiting energy performance gap.
Growth, Carcass and Meat Performance in Goat and Sheep Breeds and their Crosses

The growth performance, carcass and meat properties are the driving factors for efficiency and overall viability of goat and sheep meat production systems. These performance factors are much dependent on genotype, although the overall productive capacity will be influenced by other factors such as nutrition, management, health and other animal related factors as age, slaughter weight and sex. Goats and sheep breeds are diverse and populated all around the worlds’ agro ecological regions culminating in distinctive performances. Some agro ecological regions usually use both pure breeds and assorted crossbred goats and sheep that include characteristics from more than one breed, which might be locally available or exotic breeds. Breed differences in performance characteristics proffer contingency to improved efficiency of goat and sheep meat production as a consequence of growth, carcass and meat performance. Different production systems have taken advantage of various goats and sheep breeds and their crosses for meat production and have designed their management specifically to maximize production on targeted breeds. Pure breeding and crossbreeding have been the most used mode of production to promote growth performance, carcass and meat parameters to serve specific commercial meat market expectations and consumer appeal. Straight breeding has its own share of benefits and shortcomings, on the other hand goat and sheep breed diversity and genetic distance have acted as valuable ingredient which has been exploited in crossbreeding systems in improving growth performance,