Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Study on the Proximate, Physicochemical and Sensory Properties of Jams from Selected Tropical Fruits Spiced with Ginger, Garlic and Turmeric

Fruit jams were produced from watermelon, pineapple and apple spiced with ginger, garlic and turmeric using standard method. The sample treatments were WA (watermelon 100%), WAGI (watermelon 95% + ginger 5%), WAGA (watermelon 95% + garlic 5%), WATU (watermelon 95% + turmeric 5%), WAGGT (watermelon 95% + ginger 5% + garlic 5% + turmeric 5%), PI (pineapple 95%), PIGI (pineapple 95% + ginger 5%), PIGA (pineapple 95% + garlic 5%), PITU (pineapple 95% + turmeric 5%), PIGGT (pineapple 95% + ginger 5% + garlic 5% + turmeric 5%), AP (apple 95%), APGI (apple 95% + ginger 5%), APGA (apple 95% + garlic 5%), APTU (apple 95% + turmeric 5%) and APGGT (apple 95% + ginger 5% + garlic 5% + turmeric 5%). The proximate, Original Research Article Adeoti et al.; AFSJ, 20(3): 86-99, 2021; Article no.AFSJ. 62457 87 physicochemical (pH, total soluble solid, titratable acidity), antioxidant and sensory characteristics of the jams were determined using standard analytical procedures. The protein content of the sample ranged from 0.50 to 7.16% for reference sample (CNTP) and watermelon-garlic jam (WAGA). The fat and ash contents of the samples ranged from 0.21 to 2.55% and 1.03 to 4.38% for pineapple jam (PA) and reference sample (CNTP) respectively. The fibre content was 0.11% for reference sample (CNTP) and 1.90% for and watermelon-garlic jam (WAGA). The pH of the jams ranged from 3.10 to 3.50 for reference sample (CNTP) and apple-ginger-garlic-tumeric jam (APGGT) while total soluble solid and titratable acidity ranged from 50.00 and 69.80 °brix for pineapple-ginger-garlic-tumeric (PIGGT) and reference sample (CNTP) and 1.13 and 1.40 g/ml for CNTP and PIGA respectively. The TSS/TTA was 37.92 to 61.22 for PIGA and CNTP. The antioxidant activity of the sample was 25.45% for CNTP and 50.67% for PIGI while the total phenolic contents was 0.10 mmGAE/100 g and 0.28 mmGAE/100 g for CNTP and PIGI. The sensory values for the color ranged from 4.30 and 7.85 for WAGGT and PIGI while the taste ranged from 6.10 and 7.80 for APTU and PIGI. The overall acceptability ranged from 5.89 and 7.88 for CNTP and PIGI. Fruit jams spiced with ginger, garlic and turmeric was highly nutritious, however the pineapple-ginger jam showed a very high nutrient and bioactive components which make it to be a functional, healthy and immune booster foods for both children and adult alike.
Drug user behavior about the development and rehabilitation process in Banda Aceh correctional institution

Narcotics prisoners are the focus of attention, where narcotics convicts need a more comprehensive and sustainable development, apart from being said to be law offenders. The purpose is to identify the implementation of rehabilitation of drug abuse cases in the correctional Qualitative research design with a phenomenological approach, through interview techniques (interview), observation, and documentation to 9 informants, namely cases of drug users in prisons. Researchers collect data concerning concepts, opinions, attitudes, and knowledge attitudes and actions of assessment and giving meaning to situations or experiences in life. The results of the research from the interviews show that the results of knowledge and attitudes and actions of the prisoners towards rehabilitation are very good and are still able to explain and accept changes from the rehabilitation program. Knowledge of attitudes and actions that are already good and able to follow the programs that have been determined to be implemented in the prison in Banda Aceh.
A Question of Disparity: Changing Our Response to Trauma Survivors within Systems of Care

ABSTRACT The prevalence of trauma is apparent in every aspect of our society, perhaps most acutely in our institutions and systems of care. While there is growing acknowledgment of trauma as an important public and mental health issue, much of the research literature still tends to focus more on the clinical aspects of the trauma experience rather than on survivors’ lived experiences or the meaning of these experiences for individuals. In this study, we explored the experiences of trauma across the life span, from childhood to adulthood, from survivors’ own experiences. This study included two distinct populations: (1) random sample of individuals (n = 351) who have experienced trauma, and (2) smaller nonrandom group of individuals (n = 62) who experienced trauma and also have been diagnosed with serious mental illness (SMI). We examined and compared (a) abuse/violence history (in childhood and adulthood, and overall total), (b) institutional violence, (c) recent trauma experience, and (d) perspectives on healing from trauma. Three main findings of the study were, the SMI sample reported higher rate of recent trauma experience, higher incarceration rate particularly for males, and less positive perceptions of healing from the trauma they had experienced. The results are used to introduce the concept of, and to argue for, the utilization of trauma-informed and trauma specific approaches by providers of services.
A Global Assessment of Coastal Marine Heatwaves and Their Relation With Coastal Urban Thermal Changes

Ocean temperature significantly influences global and regional weather and climate. Coastal marine heatwaves (MHWs) do not only profoundly impact marine ecosystems but can influence the climate of coastal regions. This study provides the first observational assessment of global coastal MHWs changes, showing a latitudinal‐dependent pattern with considerably strengthened severity of MHWs in the past four decades. Coastal MHWs have been found closely linked to remarkable changes in coastal urban thermal environments, showing consistent trends of increase in air temperature and moisture, and mostly reduced wind speed among 38 major coastal cities. These effects collectively exacerbate the thermal discomfort during the warm season. The findings demonstrate the strong coupling of coastal oceans and lands under the influence of global warming and regional interactions of ocean, land, and the atmosphere, and contribute to a global initial understanding of the characteristics and co‐variation of thermal extremes over the coastal regions.
Robotic Search and Rescue using Human Detection System

In this Technological advancement period, advanced construction improvements lead the formation of skyscrapers and homes which expanded the dangers of losing life because of natural and manmade catastrophes. In this system, we are proposing a radio-controlled bot that can identify live human beings from which are in the inaccessible region. Python libraries are used in Raspberry Pi microcontroller having Camera module to catch pictures of objects around it. This paper discusses about the mentioned system. The project takes live image samples and sends it to a network where this images can be accessed through a device. This images can be used for human detection. PIR sensor is used for the detection of human being trapped under debris. Whenever a human is detected the bot will send GPS co-ordinates to the device.
Evaluación de la estabilización de fracturas expuestas de pierna grados I y II de Gustillo en la etapa aguda

Introducción: La fijación interna de las fracturas de pierna expuestas en la etapa aguda, es decir, dentro de las 24 h del trauma es un tema controvertido. El objetivo de este estudio fue evaluar las infecciones asociadas a la colocación de clavos endomedulares en la etapa aguda y a la colocación diferida, en la fijación de fracturas expuestas de pierna grados I y II de Gustillo. Pacientes y Métodos: Se realizó un estudio de cohorte retrospectivo sobre el tratamiento en la etapa aguda de los pacientes que ingresaron en el hospital con fracturas expuestas de pierna entre 2015 y 2018. Se analizó la tasa de infecciones durante los primeros 6 meses después de la cirugía y se comparó la fijación en la etapa aguda con la fijación diferida. Resultados: La fijación interna con clavos endomedulares en la etapa aguda, en pacientes con fracturas expuestas de pierna no aumentó, sino que disminuyó la tasa de infecciones en el control posoperatorio. Conclusión: El estudio avala la colocación de clavos endomedulares en la etapa aguda, en pacientes con fractura de tibia expuestas. Nivel de Evidencia: II
Role of Social Support in Handling Loneliness among Male and Female Adolescents during the COVID-19 pandemic

COVID-19 has created fear and anxiety among every member of the society. It has shaken everyone including adolescents who often think they are invincible. Due to the pandemic adolescents were forced to go into social isolation and the subsequent lockdown has kept them indoors. This kind of lockdown has deprived adolescents to meet their friends or take part in social activities. In moment of crisis, social support becomes very crucial to fight loneliness. The aim of the study was to assess the role of social support in handling loneliness among male and female adolescents during the pandemic. The sample comprised of 369 which included male and female adolescents. Data was collected using convenient sampling technique. The instruments used were UCLA Loneliness Scale by Russell, Peplau and Ferguson, (1978) and Multidimensional Scale of Perceived Social Support by Zimet, Dahlem, Zimet and Farley, (1988). Demographic data was gathered by using Google form. By using Pearson’s Product Correlation, a negative correlation was found between social support and loneliness (-0.464) and through Chi Square method a significant difference was found between social support and birth order (8.774 and the obtained value was . 067 which was significant at 0.05 level of significance, (p
Myostatin Gene as a Genetic Marker for Growth and Carcass Traits in Beef Cattle

Growth and carcass traits are of economic importances in livestock breeding, because they affect the profitability of animal production. The phenotypic expression of these traits is controlled by multiple genes (polygenes), such as myostatin (MSTN) gene. This paper aims to discuss the expression, polymorphism and potential application of MSTN gene as a marker-assisted selection (MAS) for growth and carcass traits in beef cattle based on data from published studies. MSTN gene or known as growth and differentiation factor 8 (GDF8) is a member of the transforming growth factor-β (TGF-β) superfamily, which acts as a negative regulator of skeletal muscle mass deposition. Several published studies showed that mutations in the MSTN gene can inhibit the activation of myostatin, which leads to an increased muscle mass (hypertrophy). Several MSTN gene polymorphisms were reported to be associated with growth and carcass traits in local cattle in several countries, including Indonesia, namely Bali cattle. Based on several assumptions: 1) there is MTSN gene polymorphisms in a population, 2) there is a significant association between MSTN gene polymorphisms and growth and carcass traits, as reported in several beef cattle populations and 3) those cattle with superior genotype have better growth performances, we expect that there will be improvement in growth performances in the future if those cattle are selected. Understanding MSTN gene polymorphisms would be useful to make strategies for the genetic improvement for growth and carcass traits of local cattle.
A STUDY OF FACTORS AFFECTING THE LEVEL OF HAPPINESS AMONGST PRACTITIONERS OF YOGA, AEROBICS AND WALKING DURING CORONA LOCKDOWN

Fitness and Yoga has been the focus of studies in recent decades for the not only the general well-being but also a therapeutic modality for mental stress, obesity, and other lifestyle disorders. Individual studies indicate positive effects of exercises like aerobics, walking and yoga under covid-19 lockdown conditions, suggesting that they can be used as non-pharmacological and as non-invasive interventions or as a supplement to drug therapy for the prevention and treatment of various mental and physical conditions. 120 moderately active healthy males (59) and females (61) volunteered to participate in the survey study with the aim to study the level of happiness and related variables age, body mass index, level of education and choice of physical activity of the participants. Oxford Happiness Questionnaire (OHQ) developed by psychologists Michael Argyle and Peter Hills at Oxford University was used to collect data. Results showed that there was no statistically significant difference in the choice of activity out of the three namely: aerobics, yoga and walking to stay fit and healthy. The level of happiness was found to be better for those who spent a greater number of years in school/college/university and another finding was that the level happiness was lower amongst the participants who were of more age as compared to the ones who were of lesser age. There was a significant difference in the level of happiness amongst the walkers, aerobic practitioners and yoga practitioners. It was not possible however to point out exactly the magnitude of difference between the three groups because the data was non-parametric. No gender differences were observed amongst males and females on level of happiness on activities chosen by the participants (aerobics, yoga and walking) to stay fit and healthy. Significant differences amongst the participants were observed amongst the underweight, normal weight and overweight participants
Optimization Approach To Optimal Power Efficient Based On Cluster Top Option In Wireless Sensor Networks

Abstract: Wireless sensor network is the significant element in pervasive computing for various distributed applications which divides the resources or data among the peers between the sensor nodes to managing the bandwidth of network, node participants of the network, processing powers of the nodes. During the process of the distribution of the data, the one to one environment of the sensor networks, computation complexity and decentralization is the important issues because it completely reduces the entire system performance. So, this paper implementing the system to distributing the datum among the nodes in one to one environment using the distributed data clustered through the help about the honey-bee optimization with genetic algorithm approach. The analyzes of approach of cluster and relationship of the neighboring managing on the nodes of peer of the sensors in order to assist to decentralization process on the dynamic environment. Further a clustering search space is identified and each node is evaluated with the help of position, velocity, distance values which is examined in terms of using fitness value. Then a performance at a system is analyzed using the results of experimental while discussions such as packet delivery ratio, energy consumption and total number of alive nodes.
Paralelismo em Técnicas de Sampling de Grafos e seus Impactos na Visualização de Grafos

Resumo. Técnicas de sampling de grafos têm como objetivo diminuir a quantidade de processamento necessário para a análise de grandes grafos. Este trabalho verifica a possibilidade de paralelismo para acelerar a produção de samples, assim como seu impacto em visualizações de grafos. Os resultados dos testes realizados até o momento indicam uma melhora na produção de samples apenas em uma abordagem de memória compartilhada.
A narrative review of glaucoma screening from fundus images

: The objective of the paper is to provide a general view for automatic cup to disc ratio (CDR) assessment in fundus images. As for the cause of blindness, glaucoma ranks as the second in ocular diseases. Vision loss caused by glaucoma cannot be reversed, but the loss may be avoided if screened in the early stage of glaucoma. Thus, early screening of glaucoma is very requisite to preserve vision and maintain quality of life. Optic nerve head (ONH) assessment is a useful and practical technique among current glaucoma screening methods. Vertical CDR as one of the clinical indicators for ONH assessment, has been well-used by clinicians and professionals for the analysis and diagnosis of glaucoma. The key for automatic calculation of vertical CDR in fundus images is the segmentation of optic cup (OC) and optic disc (OD). We take a brief description of methodologies about the OC and disc optic segmentation and comprehensively presented these methods as two aspects: hand-craft feature and deep learning feature. Sliding window regression, super-pixel level, image reconstruction, super-pixel level low-rank representation (LRR), deep learning methodologies for segmentation of OD and OC have been shown. It is hoped that this paper can provide guidance and bring inspiration to other researchers. Every mentioned method has its advantages and limitations. Appropriate method should be selected or explored according to the actual situation. For automatic glaucoma screening, CDR is just the reflection for a small part of the disc, while utilizing comprehensive factors or multimodal images is the promising future direction to furthermore enhance the performance. sliding window regression, super-pixel level, image reconstruction, super-pixel level LRR, deep learning methodologies
Drift Compensation on Massive Online Electronic-Nose Responses

Gas sensor drift is an important issue of electronic nose (E-nose) systems. This study follows this concern under the condition that requires an instant drift compensation with massive online E-nose responses. Recently, an active learning paradigm has been introduced to such condition. However, it does not consider the “noisy label” problem caused by the unreliability of its labeling process in real applications. Thus, we have proposed a class-label appraisal methodology and associated active learning framework to assess and correct the noisy labels. To evaluate the performance of the proposed methodologies, we used the datasets from two E-nose systems. The experimental results show that the proposed methodology helps the E-noses achieve higher accuracy with lower computation than the reference methods do. Finally, we can conclude that the proposed class-label appraisal mechanism is an effective means of enhancing the robustness of active learning-based E-nose drift compensation.
Study of the Incorporation of Biomass Bottom Ash as a Filler for Discontinuous Grading Bituminous Mixtures with Bitumen Emulsion

Energy consumption, because of population development, is progressively increasing. For this reason, new sources of energy are being developed, such as that produced from the combustion of biomass. However, this type of renewable energy has one main disadvantage, the production of waste. Biomass bottom ash is a residue of this industry that currently has not much use. For this reason, this research evaluates its use as a filler in bituminous mixtures, since this sector also has a significant impact on the environment, as it requires large quantities of raw materials. With this objective, first, the physical and chemical properties of biomass bottom ashes were evaluated, verifying their characteristics for their use as filler. Subsequently, bituminous mixtures were conformed with biomass bottom ash as filler, and their physical and mechanical properties were analyzed through particle loss and Marshall tests. The results of these tests were compared with those obtained with the same type of mixture but with conventional and ophite aggregates. This study confirmed that biomass bottom ash was viable for use as a filler, creating mixtures with a higher percentage of bitumen, better mechanical behavior, and similar physical properties. In short, more sustainable material for roads was obtained with waste currently condemned to landfill.
Tuning weight values by resolving imbalances at nodes in an augmented artificial neural network

Tuning the weight values in an artificial neural network for a computational function is essential for artificial intelligence. This letter proposes tuning based on a mathematical model, which conceptually extends the artificial neural network by allowing an imbalance between the sum of the incoming values to a node and the outgoing values from the node in the network. In a different way from the gradient-descent-based tuning that uses multiple updates to minimise the difference between the required output values and the computed output values of an artificial neural network, the proposed tuning resolves the imbalance at each node in the network. The proposed tuning exhibits similar performance to the existing stochastic-gradient-descent-based tuning. In contrast, the proposed tuning does not need to explore the optimal parameters to obtain the optimal weight values. These benefits of the proposed tuning method could accelerate the advancement of artificial intelligence.
Soil thermal conductivity model by de Vries: Re‐examination and validation analysis

The thermal conductivity (λ) of soils is an important property in a variety of science and engineering applications. One of the most widely used λ models in soil science was proposed by de Vries (deV‐0). This model is complicated and difficult to use as it is based on several controversial assumptions. The deV‐0 assumes that a soil system is composed of non‐contacting solid particles (rotated uniform ellipsoids) that are dispersed in a continuous homogeneous medium (air or water). Furthermore, deV‐0 assumes that soil solids consist of quartz and consolidated bulk minerals. These assumptions do not reflect the true nature of soils that are composed of several compacted minerals, diverse in shape and notably different in size. A critical analysis of this model concluded that its most controversial feature was inherited from an electrical conductivity model for a two‐phase dispersion system; specifically, from weighting shape factors of non‐contacting rotated oblate ellipsoids. Furthermore, deV‐0 has not yet been fully examined and verified with respect to a comprehensive and complete soil λ database. Also, there is a lack of comparable models to deV‐0 that would contain a complete set of clearly described and linked expressions. Consequently, two slightly adjusted versions of deV‐0 were developed; namely, deV‐1 with soil bulk mineralogy (quartz plus integrated residual minerals) and deV‐2 with complete soil mineralogy (i.e., including individual contributions from all soil minerals). Both models underwent successful calibration and verification against λ data of 39 Canadian field soils and three Standard sands. Markedly improved estimates (λest) were obtained when, instead of dry air thermal conductivity (λa), an apparent air thermal conductivity (λa‐app = λa + λv) was applied (λv represents thermal effects caused by migration of water vapour and evaporation/condensation processes). For deV‐1, the following reduction of standard deviation (SD) data was obtained: 53.5% for 17 coarse soils, 34% for 22 fine soils, and 44.5% for all 39 soils. Then, the same calibration factors of deV‐1 were applied to the deV‐2 model and a similar reduction of SD data was obtained (52.7, 24.1 and 40.1%, respectively). Generally, for 39 Canadian field soils, both models (deV‐1 and deV‐2), with quartz thermal conductivity (λqtz) of 7.6 W·m−1·K−1, produced very close λ estimates (SD ≈ 0.099 and 0.094 W·m−1·K−1, respectively). Taking into account the simplicity of mineral composition and fewer calibration coefficients, deV‐1 was a preferable choice. For that reason, soil bulk mineralogy appears to be a good equivalent to complete soil mineralogy. Also, for Standard sands (100% sand: C‐109, C‐190, NS‐04), improved λest were obtained by replacing λa with λa‐app. Finally, the deV‐1 model was successfully applied to 10 Chinese soils and the following average SD values were obtained: for four coarse soils 0.135 W·m−1·K−1, whereas for six fine soils 0.127 W·m−1·K−1.