Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowing More Than Own Mother, Yet not Enough: Secondary School Students’ Experience of Financial Literacy Education

Financial literacy plays as a crucial role in the development of economic and financial stability across the globe. It is important to understand how the learning process relates to the competence acquired. This qualitative research, revealed three themes: students call for better financial literacy education, financial education directly affecting their current situation and helping to prepare for the future, and finally the most remarkable suggestion to make financial literacy learning mandatory for all students in elementary schools.
Recombinant BCG to Enhance Its Immunomodulatory Activities

The bacillus Calmette–Guérin (BCG) is an attenuated Mycobacterium bovis derivative that has been widely used as a live vaccine against tuberculosis for a century. In addition to its use as a tuberculosis vaccine, BCG has also been found to have utility in the prevention or treatment of unrelated diseases, including cancer. However, the protective and therapeutic efficacy of BCG against tuberculosis and other diseases is not perfect. For three decades, it has been possible to genetically modify BCG in an attempt to improve its efficacy. Various immune-modulatory molecules have been produced in recombinant BCG strains and tested for protection against tuberculosis or treatment of several cancers or inflammatory diseases. These molecules include cytokines, bacterial toxins or toxin fragments, as well as other protein and non-protein immune-modulatory molecules. The deletion of genes responsible for the immune-suppressive properties of BCG has also been explored for their effect on BCG-induced innate and adaptive immune responses. Most studies limited their investigations to the description of T cell immune responses that were modified by the genetic modifications of BCG. Some studies also reported improved protection by recombinant BCG against tuberculosis or enhanced therapeutic efficacy against various cancer forms or allergies. However, so far, these investigations have been limited to mouse models, and the prophylactic or therapeutic potential of recombinant BCG strains has not yet been illustrated in other species, including humans, with the exception of a genetically modified BCG strain that is now in late-stage clinical development as a vaccine against tuberculosis. In this review, we provide an overview of the different molecular engineering strategies adopted over the last three decades in order to enhance the immune-modulatory potential of BCG.
Raman, TEM, EELS, and Magnetic Studies of a Magnetically Reduced Graphene Oxide Nanohybrid following Exposure to Daphnia magna Biomarkers

A ternary nanocomposite made of nanomaghemite, nanoanatase, and graphene oxide has been successfully synthesized using an inorganic coprecipitation approach, and it has been systematically investigated by X-ray diffraction, transmission electron microscopy, and different spectrocopic techniques (electron energy loss, µ-Raman, and 57Fe Mössbauer) after interaction with an effluent containing Daphnia magna individuals. Specifically, the influence of the nanocomposite over the Daphnia magna carapace, administered in two doses (0.5 mg mL−1 and 1 mg mL−1), has been characterized using µ-Raman spectroscopy before and after laser burning protocols, producing information about the physicochemical interaction with the biomarker. The thermal stability of the nanocomposite was found to be equal to 500 °C, where the nanoanatase and the nanomaghemite phases have respectively conserved their structural identities. The magnetic properties of the nanomaghemite have also been kept unchanged even after the high-temperature experiments and exposure to Daphnia magna. In particular, the size, texture, and structural and morphological properties of the ternary nanocomposite have not shown any significant physicochemical modifications after magnetic decantation recuperation. A significant result is that the graphene oxide reduction was kept even after the ecotoxicological assays. These sets of observations are based on the fact that while the UV-Vis spectrum has confirmed the graphene oxide reduction with a localized peak at 260 nm, the 300-K and 15-K 57Fe Mössbauer spectra have only revealed the presence of stoichiometric maghemite, i.e., the two well-defined static magnetic sextets often found in the bulk ferrimagnetic counterpart phase. The Mössbauer results have also agreed with the trivalent-like valence state of Fe ions, as also suggested by electron energy loss spectroscopy data. Thus, the ternary nanocomposite does not substantially affect the Daphnia magna, and it can be easily recovered using an ordinary magnetic decantation protocol due to the ferrimagnetic-like character of the nanomaghemite phase. Consequently, it shows remarkable physicochemical properties for further reuse, such as cleaning by polluted effluents, at least where Daphnia magna species are present.
Assessment of the Mechanical Support Characteristics of a Light and Wearable Robotic Exoskeleton Prototype Applied to Upper Limb Rehabilitation

Robotic exoskeletons are active devices that assist or counteract the movements of the body limbs in a variety of tasks, including in industrial environments or rehabilitation processes. With the introduction of textile and soft materials in these devices, the effective motion transmission, mechanical support of the limbs, and resistance to physical disturbances are some of the most desirable structural features. This paper proposes an evaluation protocol and assesses the mechanical support properties of a servo-controlled robotic exoskeleton prototype for rehabilitation in upper limbs. Since this prototype was built from soft materials, it is necessary to evaluate the mechanical behavior in the areas that support the arm. Some of the rehabilitation-supporting movements such as elbow flexion and extension, as well as increased muscle tone (spasticity), are emulated. Measurements are taken using the reference supplied to the system’s control stage and then compared with an external high-precision optical tracking system. As a result, it is evidenced that the use of soft materials provides satisfactory outcomes in the motion transfer and support to the limb. In addition, this study lays the groundwork for a future assessment of the prototype in a controlled laboratory environment using human test subjects.
Mathematical model of measles transmission dynamics using real data from Nigeria

Measles is a highly contagious and life-threatening disease caused by a virus called morbillivirus, despite the availability of a safe and cost-effective vaccine, it remains a leading cause of death, especially in children. Measles spreads easily from person to person via infected people's coughs and sneezes. It can also be transmitted through direct contact with the mouth or contaminated surfaces. To have a better knowledge of measles epidemiology in Nigeria, we develop a deterministic mathematical model to study the transmission dynamics of the disease in the population. The boundary of the model solution is performed, both equilibrium points are calculated, and the basic reproduction number is determined. We have proved that when , the disease-free equilibrium point is both locally and globally stable. When , the endemic equilibrium point exists and is stable if it satisfies Routh–Hurwitz criteria. We demonstrate the model's effectiveness by using a real-life application of the disease spread in Nigeria. We fit the proposed model using available data from Nigeria Center for Disease Control (NCDC) from January to December 2020 to obtain the best fit, this help us to determine the accuracy of the proposed model's representation to the real-world data. We investigate the impact of vaccination rate and hospitalization of infected individuals on the dynamics of measles in the population. The result shows that the combined control strategies reduce the peak of infection faster than the single control strategy.
TBI Assessment of Readiness Using a Gait Evaluation Test (TARGET): Development of a Portable mTBI Screening Device

Abstract : With up to 320,000 service members sustaining some form of traumatic brain injury (TBI) over the past 14 years, the lack of an objective measurement tool for evaluation and monitoring of TBI is of great concern to the military. The NeuroCom Sensory Organization Test (SOT) is the current gold standard for assessing mTBI-related motor impairments. However, the equipments size and logistical footprint makes it impractical for field deployment. This study seeks to determine the validity and reliability of an Android device-based mTBI (mild traumatic brain injury) screening test app for assessing motor function. The app, AccWalker, utilizes the smartphones accelerometer and orientation metrics in order to assess a persons functional motor ability. The study will seek to establish test-retest and inter-rater reliability of the app within a healthy civilian population, concurrent validity with the SOT, BESS, CB and M test (three currently used assessments) in a healthy civilian population, and predictive validity to discriminate between healthy individuals and those with clinically confirmed mTBI in both a civilian and military population.
Proposed Marketing Strategy For PT. Harmony Land Group in Facing off Uncertainty Period

PT Harmony Land Group is property developer company for landed houses residential that founded by Fithor Muhammad and Ramadani in 2016. As a company that builds from the scratch, Harmony Land grew so fast, only 5 years, in 2021 Harmony Land already has 25 residential projects with 1004 units in five cities, Depok, Jakarta, Bogor, Sukabumi and Medan. In the fourth year of growth, an unexpected big disaster is coming, Pandemic Covid 19. The property business is greatly affected, people are afraid to leave the house, even less to buy a house. After struggling to survive for two years in a pandemic situation without firing any employees, Harmony Land started looking for the next opportunity to bring Harmony Land to the next level. One big issue that Harmony Land wants to solve is increasing the act per ask at A5 costumer journey. In 2021, the number of ask customers which have already contacted Harmony Land are 17.789, while the number of unit transactions are 105 houses. Only 0,59% act per ask and lost 17.684 potential customers. So, Harmony Land wants to increase the sales by developing a marketing strategy to increase conversion rate act per ask. This research uses the AFI framework. Analysis internal and external that will continue to Formulation strategy and be closed by the Implementation plan of that strategy. Through external analysis, there are many opportunities after pandemic covid where other competitors still wait and see, while customers start to bounce again. From the customer analysis, customers buy houses in Harmony Land because of price, location, design concept and selling service. So, for increasing act per ask, the proposed marketing strategy is to develop thematic residential in many locations with caregiver service to help more customers with many product option each target market area.
Fordism at Work in Canadian Coffee Shops

Although many areas of work today are characterized by post-Fordist principles, there are still significant numbers of workplaces that have adapted and continue to operate using a Fordist model, and in particular, low-paying service industries that rely on a largely female an d part-time labour force. This paper explores how the Fordist model has been adapt ed and extended within the Canadian coffee shop franchise industry. Qualitativ e interviews were conducted with staff and managers in selected coffee shops to gain a better understanding of how work is organized and managed in this indust ry .
Crystallinity of Bitumen via WAXD and DSC and Its Effect on the Surface Microstructure

It is well documented that most bituminous binders contain crystallisable material. This crystallisable fraction, often referred to as paraffinic or natural wax, is associated with the bitumen’s origin and has an influence on its rheological performance. In the literature, Differential Scanning Calorimetry (DSC) is the primary technique used to determine the melting and crystallisation behaviour of this waxy fraction. However, in bitumen, thermal transitions in DSC are typically very broad and can be combined with recrystallisation effects upon reheating. This work explores the potential crystallisation and melting process of a waxy and a wax-free bitumen via three different approaches: DSC, Wide-Angle X-ray Diffraction (WAXD) and Confocal Laser Scanning Microscopy (CLSM). The findings reveal that the DSC transitions of the waxy bitumen are in good agreement with the corresponding occurrence of WAXD signals and to some extent with the formation and disappearance of the surface microstructures which were followed at two cooling and heating rates. WAXD results additionally demonstrate that the crystalline material in bitumen is organised in an orthorhombic unit cell, typical for straight chain aliphatic structures. On the other hand, DSC and WAXD support the lack of crystallinity for the wax-free bitumen which could explain its featureless CLSM surface. Overall, the originality of this work resides in the disclosure of connections between crystallographic properties, thermal transitions and the surface micromorphology of bitumen.
The Effects of Entrepreneurial Resources on The Performance of Malay-Owned SME in the Halal Food Industries in Malaysia

This article discusses the Malay owned Halal Food SMEs in Malaysia entailing their contribution towards the nation’s economy and factors affecting their performance. The gap in the literature that prompted this research was also deliberated. Though previous studies have shown the relationship between resources on organization performance, there exist inconsistency in findings regarding entrepreneur resources in relation to performance. This study test this relationship by using random sampling techniques with 297 samples. This paper explores the effect of entrepreneurial resources and SME organization performance of Malay owned SMEs in the halal food industries. Based on the gaps identified, the research proposition is presented. The findings show that there are significant relationship between entrepreneurial resources and organizational effectiveness; as well as with organizational growth of Halal Food industries SMEs, both being measurement of organizational performance.
Forecasting Stock Returns with Fuzzy HEAVY-r Model using Genetic Algorithm

Financial returns expose complex dynamics that are difficult to capture with classical econometric models, the most common feature in financial series is volatility clustering. We propose the Fuzzy HEAVY-r model for modelling and predicting returns of the CAC40 stock market index. This model has been developed by a combination of the fuzzy inference system and the HEAVY-r model. A Genetic Algorithm (GA) based parameters estimation algorithm is suggested to obtain the optimal solution for the fuzzy membership function and the HEAVY-r model. We apply these models to the high-frequency financial data regularly spaced in time (every minute) and (every five minutes), and we compared it with the Fuzzy GARCH model and the classical models. The results indicate that the Fuzzy HEAVY-r model outperforms other models in out of sample evaluation according to RMSE.
MOOCs in Malaysia: a preliminary case study

Massive open online courses (MOOCs) in Malaysia are a very recent development. At the time of writing of this case study, there are only six higher education institutions that have embarked on a MOOCs initiative. The first Malaysian higher education institution announced its pilot MOOC offering in March 2013. In 2014, five more higher education institutions – four of them public universities and one, i.e. Open University Malaysia (OUM), a private open and distance learning (ODL) institution – began offering MOOCs on two different platforms. At the moment, these initiatives represent a preliminary phase in MOOCs, where Malaysia’s approach can be described as exploratory, focusing less on reaching the widest possible audience, making a significant mark globally or competing with established providers like Coursera, edX and Udacity, but more on learning to use web-based technology to complement current educational delivery systems at the higher education level and introducing MOOCs to the general Malaysian audience. (Introduction from authors)
Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing

Stateful layer-4 load balancers (LB) are deployed at datacenter boundaries to distribute Internet trafﬁc to backend real servers. To steer terabits per second trafﬁc, traditional software LBs scale out with many expensive servers. Recent switch-accelerated LBs scale up efﬁciently, but fail to ofﬂoad a massive number of concurrent ﬂows into limited on-chip SRAMs. This paper presents Tiara, a hardware architecture for stateful layer-4 LBs that aims to support a high trafﬁc rate (> 1 Tbps), a large number of concurrent ﬂows (> 10M), and many new connections per second (> 1M), without any assumption on trafﬁc patterns. The three-tier architecture of Tiara makes the best use of heterogeneous hardware for stateful LBs, including a programmable switch and FPGAs for the fast path and x86 servers for the slow path. The core idea of Tiara is to divide the LB fast path into a memory-intensive task ( real server selection ) and a throughput-intensive task ( packet encap/decap ), and map them into the most suitable hardware, respectively (i.e., map real server selection into FPGA with large high-bandwidth memory (HBM) and packet encap/decap into a high-throughput programmable switch). We have implemented a fully functional Tiara prototype, and experiments show that Tiara can achieve extremely high performance (1.6 Tbps throughput, 80M concurrent ﬂows, 1.8M new connections per second, and less than 4 us latency in the fast path) in
Adaptive target positioning control for permanent magnet synchronous motors with low-resolution shaft encoders

For a high-performance adjustable-speed permanent magnet synchronous motor (PMSM) drive, an accurate speed feedback is required. However, in some applications, only low-resolution incremental encoder is used because of the constraint of costs. In this paper, a closed-loop speed observer with inertia estimation is presented to improve the speed estimation accuracy, and a model-reference adaptive controller (MRAC) is designed as the speed controller. Besides, there are applications that require these adjustable-speed drives to stop at a target position, such as automatic sewing machines, automatic transferring systems, etc. Conventionally, these applications are solved by using inverter drives with programmable logic controllers (PLC) and electromagnetic brakes. However, these kinds of solutions are expensive, slow response, inaccurate, and may induce significant errors due to large load variations. This paper proposes a motion trajectory-scheduling controller (MTSC) for target positioning control. The proposed adaptive control scheme was realized by using a single-chip DSP controller with fixed-point arithmetic. Simulation and experimental results are given to illustrate the performance of the designed PMSM servo drive with one 100 pulses-per-revolution (PPR) encoder.
Comment on egusphere-2022-99

The manuscript by Dr Crosta and colleagues provides an overview of the importance of Antarctic sea ice on the global climate system and oceanographic circulation, its present and past variations and a thorough revision of marine- and ice core-based sea-ice proxies for the reconstructions of sea-ice changes. Authors begin with a well structured and justified introduction, followed by a description of the processes and consequences of the sea-ice formation and an up-to-date description of the current trends in sea-ice dynamics in the Southern Ocean. Next, authors described with great detail the main proxies for the reconstruction of sea-ice changes in the past with particular emphasis on diatom valves and the key biomarkers produced by this group of organisms. Authors also dedicate a section to other microfossil groups used in sea-ice reconstructions and to geochemical and isotopic proxies. Lastly, authors summarize our current knowledge of past sea-ice changes, list the gaps in the knowledge and propose future directions for sea ice research in the Southern Ocean. manuscript The manuscript wealth information useful the
Assessing Responses and Impacts of Solar climate intervention 1 on the Earth system with stratospheric aerosol injection 2 (ARISE-SAI) 3

Solar climate intervention using stratospheric aerosol injection is a proposed method of reducing global 13 mean temperatures to reduce some of the consequences of climate change. A detailed assessment of responses and 14 impacts of such an intervention is needed with multiple global models to support societal decisions regarding the use 15 of these approaches to help address climate change. We present here a new modeling protocol and a 10-member 16 ensemble of simulations using one of the most comprehensive Earth system models, aimed at simulating a plausible 17 deployment of stratospheric aerosol injection and reproducibility of simulations using other Earth system models to 18 enable community assessment of responses of the Earth system to solar climate intervention. The Assessing 19 Responses and Impacts of Solar climate intervention on the Earth system with stratospheric aerosol injection 20 (ARISE-SAI) simulations utilize a moderate emission scenario, introduce stratospheric aerosol injection at ~ 21 km 21 in year 2035, and keep global mean surface air temperature near 1.5 o C above the pre-industrial value (ARISE-SAI- 22 1.5). We present here the detailed set-up, aerosol injection strategy, and mean surface climate changes in these 23 simulations so they can be reproduced in other global models.
Visual analysis of ﬂux sampling simulations based on extracellular metabolomic measurments

Background and Motivation Nowadays, there is a lot more biological data generated through highthroughput methods. Especially exciting in this context are the biochemical changes that lead to specific biological phenotypes. These can be influenced by disease states and environmental states, such as diet, exercise, and lifestyle. One can, therefore, study the metabolome under changing environments in order to associate them with each other [7]. The vast amount of knowledge led to the generation of genome-scale metabolic models (GEM) [3]. With these, one can simulate in silico flux states of reactions between metabolites in biological systems. Interaction with an environment can be reflected by constraining exchange fluxes on the basis of extracellular metabolomic measurements [10]. This approach is particularly useful since it is a way to analyze biological systems under the environmental influence in a non-invasive manner. There are currently different kinds of metabolic in silico simulation methods. The most popular are flux balance analysis (FBA) [11] and flux variability analysis (FVA) [8]. FBA computes steady-state solutions that optimize an objective function, as for maximum biomass production [4]. Nevertheless, often not only one solution occurs, but a set of steady-state solutions. This variability is being reflected in an FVA analysis that outputs the range of feasible flux states in a biological system optimized for an objective function. The use of an objective function nevertheless introduces bias into the analysis [6] [5]. Maximum biomass, for example, might be the ideal objective function in ideal laboratory conditions. However, wildlife organisms might be more generally adapted to the environment. Thus, balancing a multitude of different objective functions. Additionally, it is questionable if used objective functions reflect the true objective functions in the organism. A more unbiased approach is therefore