Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the relationship between adolescents’ nutritional habits and school achievements

<p class="abstract"><strong>Background:</strong> This research was performed for the purpose of evaluating the relationship between adolescents’ nutritional habits and school achievements. </p><p class="abstract"><strong>Methods:</strong> This is a cross-sectional study and it was performed with the participation of adolescents. Research sample was composed of a total of 1,651 students selected via cluster sampling method from six high-schools and their equivalents chosen through simple random sampling in a manner to ensure that each high school type was represented in the sample from 46 high-schools. </p><p class="abstract"><strong>Results:</strong> The mean of students’ school achievement scores is 72.95±12.28. As per analysis of the correlation between means of scores obtained by students from nutrition exercise behavior scale (NEBS) sub-scales and means of students’ school achievement scores, it was found that students’ school achievement was positively correlated with sub-scales of healthy nutrition-exercise behavior and regularity of meal patterns. </p><p class="abstract"><strong>Conclusions:</strong> It was ascertained that, as scores obtained by students from NEBS increased, students’ school achievement scores went up. It is recommended that, through the cooperation to be established between health professionals, school staff and family, adolescents should be enticed to acquire the healthy food selection autonomy and to make it a part of their lifestyles as of early age. </p>
Traditional Villages in Forest Areas: Exploring the Spatiotemporal Dynamics of Land Use and Landscape Patterns in Enshi Prefecture, China

In the context of the implementation of rural revitalization strategies in China, limited attention has been paid to the landscape patterns of traditional villages that are located in vulnerable environments. This study explores the land-use dynamics and landscape patterns of traditional villages in Enshi Prefecture, China. Based on a spatiotemporal analysis of land use and landscape metrics, we analyzed the prefecture and the environment surrounding 73 traditional villages. The results show that, from 2000 to 2020, most villages have had an increased share of forest, a decreased share of cultivated land and grassland, and a decreased level of landscape diversity and fragmentation. Additionally, villages at a higher elevation or with a steeper slope are associated with a lower level of landscape diversity, a lower proportion of cultivated land and grassland, and a higher proportion of forest. Overall, although the environment around the villages does not show dramatic changes in landscape patterns, land-use change at the prefecture level shows an increasing rate of urban growth from 2010 to 2020. For remote traditional villages in ecologically vulnerable and less-developed areas, caution is needed in the tradeoff between environmental conservation and economic development.
The role of company competitiveness as mediation variable the impact of supply chain practices on operational performance

This study aimed to explain the role of supply chain practices on operational performance, and supply chain practices on company competitiveness and to analyze the impact of company competitiveness on operational performance. In addition, we also investigate the impact of supply chain practices on operational performance through role of company competitiveness as mediation variable. The study was conducted in South Sulawesi Province, Indonesia. Primary data were collected by questionnaire instrument from 108 food and beverage companies. Method of analysis was both descriptive statistical analysis, and Structural Equation Modelling (SEM). The study also used Sobel test to determine significance level of mediation role in the model. The results show that supply chain practices could give a positive impact on operational performance. Supply chain practices also gave a positive impact and significant on company competitiveness. Then, company competitiveness had a positive impact and significant on operational performance. Additionally, supply chain practices also had a positive impact on operational performance indirectly through the role of company competitiveness as mediation variable. Hence, supply chain practice was the most important variable to increase both company competitiveness and operational performance. Each company is recommended to implement this variable as competitive weapon in order to get a better operational performance and competitiveness as well.
Improving winter wheat grain yield and nitrogen use efficiency using nitrogen application time and rate

Assigned to Associate Editor Paul DeLaune. Abstract Preplant nitrogen (N) application, which involves placing nutrients in the soil before seeding, has been an integral part of crop production systems for decades. Some producers are known to apply N at least 21 d before planting. This may increase N loss and lower grain yield. This study evaluated the effect of timing and rate of N application on winter wheat (Triticum aestivum L.) grain yield and N use efficiency (NUE). An experiment with a factorial arrangement of treatments was set up in a randomized complete block design with three replications. Treatments included four N rates (0, 45, 90, and 135 kg ha–1) with each applied 7 or 30 d before planting, and at Feekes 5 (FK5). Grain N was analyzed using LECO CN dry combustion analyzer. The difference method [Grain N from (fertilized plot – check plot)]/N applied was used to compute NUE. Nitrogen application rate significantly affected grain yield (P ≤ .01). Although the rate may be temporally and spatially variable, approximately 90 kg N ha–1 was required to obtain yields that differ markedly from the check. Midseason applied N (FK5) had similar yields to preplant applied N in two of four siteyears and significantly increased yield at one site in 2020. Out of two sites, the timing of N application had a substantial effect on NUE in both years (P ≤ 0.11). In this case, NUE was increased by as much as 9.5% for midseason applied N compared to 30 d before planting N application time.
Peak-to-Peak Filtering for Discrete-Time Singular Systems

This brief on peak-to-peak filtering is carried out for discrete-time singular systems in this brief. For the sake of designing the required filter, it makes the filtering error system admissible (regular, causal, and stable), meanwhile, preserves the specified peak-to-peak performance level. By introducing a novel Lyapunov function, the peak-to-peak performance of the filtering error system is analyzed on the strength of matrix inequalities. Then, based on linear matrix inequalities (LMIs), significant design conditions of the peak-to-peak filter for discrete-time singular systems are proposed. In the end, a RC circuit is presented to verify the availability of the results.
An investigation of monthly variation of different physicochemical parameters of dairy industry effluent

ABSTRACT Industrialization no doubt enhances the productivity, but also results in release of toxic substances into the environment, creating health hazards. Dairy industry ranks as one of the most polluted industries in India. For cleaning and washing procedures, dairy industry plants generate large volumes of waste water, which is 2.5 times milk volume processed. Dairy effluent contains high load of organic matter. This study was aimed at assessing the monthly variation of different physicochemical parameters of effluent like pH, Temperature, Turbidity, Electrical Conductivity, Chemical Oxygen Demand, Biological Oxygen Demand, Total Solids, Total Dissolved Solids, Total Suspended Solids, Chlorides, Sulfates, Oil & Grease, Proteins, Lipids etc. The pH was recorded for values between 7.3 to 8.2 whereas overall mean value was 7.7±0.37 (S.D.) in all month’s data collected which is ambient for the microbial population to grow. Maximum temperature was reported in May (33°C) while lowest value was reported in December (24°C). Mean value of turbidity was recorded as 762±207 NTU. Maximum EC value was reported in January (650 µS/cm) while minimum value was reported in May (354 µS/cm). BOD values reported were between 268 to 950 mg/lit. Maximum BOD values were reported in August and October while minimum was reported in the month of July. Mean value was recorded at 597±208 mg/lit. COD mean value was recorded at 2184±417 mg/lit. Maximum COD values were observed during August and September while minimum during February to April. TDS was noted down to be between 960 to 1362 mg/lit. TS mean value was around 1412 ± 108 mg/lit. TSS was found to be between 245 to 365 mg/lit during the year 2013-14. Maximum TSS value was reported in November and September while minimum in March. Maximum chloride value was reported in March (562 mg/lit) while minimum in September (256 mg/lit). Mean value of sulfate was 247 ± 98 mg/lit. Mean value for oil and grease was recorded as 163 ± 44 mg/lit. Maximum protein value was reported in November (260 mg/lit) while minimum in the months of May and September (154 mg/lit). Mean value of lipid was recorded to be 600±63 mg/lit indicating obvious variation during batches. The present study has been aimed at procuring dairy industry effluents & characterizing them for different parameters in order to check the fluctuation in organic loads.
Typha Leaves Fiber and Its Composites: A Review

ABSTRACT Typha is a semi-aquatic plant and an important member of wetlands around all over the world. This plant can be considered as a source of long leaf fibers. In this review, the works done in the last decade on the Typha leaf fiber extraction and its characteristics have been reviewed. Furthermore, the applications of the Typha fiber as a reinforcing material in the composite have been addressed. The Typha fiber properties are shown to be dependent on the extraction methods. The long cellulose fibers can be extracted from the Typha leaves using water retting and chemical treatments. The water-extracted Typha leaf fiber shows poor interlocking with the polymer matrix due to the high presence of waxy and non-cellulosic on the fiber surface. However, the alkali treatments of fibers could improve the composite properties. Typha fibers with low density (1.26 g/cm3), 47–67% cellulose content and 60–65% crystallinity, as well as 8.5–10% moisture regain and 25–40 cN/tex tensile strength, could be developed. In addition to these good properties, high thermal stability and low thermal conductivities (0.137 W/m. K) could lead to considering Typha fibers as a suitable alternative to expensive natural fibers and synthetic fibers in various polymer composites.
Biosynthesis of Copper Oxide Nanoparticles Using Streptomyces MHM38 and Its Biological Applications

Biosynthesis methods employing microorganisms have emerged as an eco-friendly, clean, and viable alternative to chemical and physical processes. The present study reports the synthesis of copper oxide nanoparticles (CuONPs) using cell-free culture supernatant of marine Streptomyces sp. MHM38. For the optimized production of CuONPs, the influence of some parameters, such as the concentration of copper sulfate (CuSO4), reaction time, filtrate to substrate ratio, and pH, was studied. 5 mM of CuSO4 was optimal for nanoparticle (NP) production. Well-defined CuONP formation occurred after 60 min of incubation when an equal volume of filtrate (cell-free supernatant) to substrate (CuSO4 solution) was added. UV-visible spectroscopy analysis of CuONPs exhibited a peak at 550 nm, which corresponds to the surface plasmon resonance of CuONPs. Most of the particles were spherical and were 1.72–13.49 nm when measured using a transmission electron microscope. The antimicrobial activity of CuONPs was determined using a well diffusion method against Enterococcus faecalis ATCC 29212, Salmonella typhimurium ATCC 14028, Pseudomonas aeruginosa ATCC 9027, Escherichia coli ATCC 8939, fungi (Rhizoctonia solani, Fusarium solani, and Aspergillus niger), and yeast (Candida albicans ATCC 10237). The highest antimicrobial activities were recorded against Candida albicans ATCC 10237, whereas Salmonella typhimurium ATCC 14028 and Escherichia coli ATCC 8939 showed the less activity. The biochemical findings of the CuONP groups were significant ( p < 0.05 ) with diminished levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), total and direct bilirubin, urea, and creatinine compared with the paracetamol group. Nonenzymatic and enzymatic antioxidants of the CuONP groups were significantly elevated ( p < 0.05 ) in SOD and GSH levels, and exceptionally low nitric oxide (NO) and malondialdehyde (MAD) levels were found for the paracetamol group. The histopathological examination of the CuONP groups assured the impact of improving CuONPs against paracetamol-induced liver damage.
Spatial dynamics and optimization method for a network propagation model in a shifting environment

In this paper, a reaction-diffusion \begin{document}$ ISCT $\end{document} rumor propagation model with general incidence rate is proposed in a spatially heterogeneous environment. We first summarize the well-posedness of global solutions. Then the basic reproduction number \begin{document}$ \mathcal{R}_0 $\end{document} is introduced for the model which contains the spatial homogeneity as a special case. The threshold-type dynamics are also established in terms of \begin{document}$ \mathcal{R}_0 $\end{document} , including the global asymptotic stability of the rumor-free steady state and the uniform persistence of all positive solutions. Furthermore, by applying a controller to this model, we investigate the optimal control problem. Employing the operator semigroup theory, we prove the existence, uniqueness and some estimates of the positive strong solution to the controlled system. Subsequently, the existence of the optimal control strategy is established with the aid of minimal sequence techniques and the first order necessary optimality conditions for the optimal control is deduced. Finally, some numerical simulations are performed to validate the main analysis. The results of our study can theoretically promote the regulation of rumor propagation on the Internet.
Tracking destination visual narratives: photographic compositions from longer stay tourists

ABSTRACT The photographs that contemporary travellers disseminate quickly and effortlessly to a global online audience are a valuable resource for scholars and for practitioners seeking to shape destination image. They merit more in-depth understanding. However, viewers are detached from the process of producing photos for online dissemination, thereby limiting insights provided by examinations of what the photos were intended to represent. The current authors pursue deeper understanding by studying visual effects at ‘face value’, rather than interpreting intended meanings. The authors consider the visual effects of narratives that longer stay tourists to Hong Kong share on social networking sites, including content, colour, spatial organization and expressiveness elements. A longitudinal and non-representational research approach is adopted to address the disjuncture and separation between the photo production and reception processes. It is concluded that tourist photographs: a) form groupings around compositional elements; b) change in content and composition over the course of an extended visit and c) generate identifiable visual impacts, based on their compositions. Destination authorities can develop emotion-inducing visual compositions with online resonance by considering the aesthetics of tourist photographs.
Effects of Combined Ethanol Extract of Anthocleista Vogelii and Alstonia Boonei Stem Barks on Liver Function Indices in Benign Prostatic Hyperplasia Induced

Objective: This study evaluated the effects of combined ethanol extract of Anthocleista vogelii and Alstonia boonei (CEAA) stem barks on the liver function indices of benign prostatic hyperplasia (BPH)-induced rats.Materials and Methods: Thirty (30) male Wistar rats were randomly grouped into five groups (n = 6). BPH was induced subcutaneously with 5 mg/kg/day of testosterone propionate in olive oil. Groups 1-3 served as normal, BPH control (untreated) and standard drug control respectively, while Groups 4 and 5 were BPH-induced rats and treated with 200 and 400 mg/kg/day of the CEAA respectively after one hour of the BPH induction. After twenty-eight days of treatments, biochemical and histopathological analyses were conducted using standard analytical procedures.Results: The acute toxicity result of CEAA indicated no mortality or adverse reactions. Significant body weight change was only observed in the first week from the group-administered 200 mg/kg/day of CEAA. Liver damage was evident in the BPH control characterized by significant (P<0.05) increase in relative liver weight and liver enzymes’ (AST, ALT, ALP) activities but a reduction in total protein and globulin levels. Treatment with CEAA attenuated the liver damage by significantly (P<0.05) reducing the elevated relative liver weight and liver enzyme function activities and elevated total protein and globulin levels.Conclusion: The revealed that the combined ethanol extract of Anthocleista vogelii and Alstonia boonei (CEAA) stem barks possess hepatoprotective effects that could improve liver integrity and functions in BPH induced rats. Keywords: Benign prostatic hyperplasia, liver marker indices, Anthocleista vogelii, Alstonia boonei, liver histomorphology
Exponential stabilization of laminated beams with history memories

In this paper we consider laminated beams modelled from the well established Timoshenko system, which is a structure given by two identical layers uniform on top of each other, taking into account that an adhesive of small thickness is bonding the two surfaces and produces an interfacial slip. By using semi‐group approach, we prove the global well‐posedness of the system when a viscoelastic dissipation acts on the three equations. In addition, we prove that the dissipation through memory terms is strong enough to get exponential decay of the system without the condition of equal wave speeds.
Deep Learning for Uplink Spectral Efficiency in Cell-Free Massive MIMO Systems

In this paper, we introduce a Deep Neural Network (DNN) to maximize the Proportional Fairness (PF) of the Spectral Efficiency (SE) of uplinks in Cell-Free (CF) massive Multiple-Input Multiple-Output (MIMO) systems. The problem of maximizing the PF of the SE is a non-convex optimization problem in the design variables. We will develop a DNN which takes pilot sequences and large-scale fading coefficients of the users as inputs and produces the outputs of optimal transmit powers. By consisting of densely residual connections between layers, the proposed DNN can efficiently exploit the hierarchical features of the input and motivates the feed-forward nature of DNN architecture. Experimental results showed that, compared to the conventional iterative optimization algorithm, the proposed DNN has excessively lower computational complexity with the trade-off of approximately only 1% loss in the sum rate and the fairness performance. This demonstrated that our proposed DNN is reasonably suitable for real-time signal processing in CF massive MIMO systems.
Decameter Cropland LAI/FPAR Estimation From Sentinel-2 Imagery Using Google Earth Engine

Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) products at regional and global scales have already been extensively and routinely generated from medium-resolution sensors. However, there is a lack of high-resolution LAI/FPAR product, which is especially essential for crop growth and drought monitoring of cropland in patches. This article proposes a processing framework for the derivation of decameter cropland LAI and FPAR in the Northern China plain from Sentinel-2 surface reflectance data with a random forest (RF) algorithm by exploiting the capabilities of the Google Earth Engine (GEE) cloud platform. The training database is generated from the spatially aggregated Sentinel-2 surface reflectance and the corresponding Moderate Resolution Imaging Spectroradiometer (MODIS) LAI/FPAR product over homogeneous cropland, and the training samples are strictly filtered for the best quality. RF is then trained over the processed Sentinel-2 surface reflectance and the filtered MODIS LAI/FPAR under two input groups—one group is for Sentinel-2 spectral bands of 10-m resolution only, and the other group supplements the Sentinel-2 red-edge (RE) and shortwave infrared (SWIR) bands of 20-m resolution. Extensive comparisons and validation are carried out, and they demonstrate that the new method can generate spatial and temporal consistent LAI/FPAR with MODIS at high spatial resolution. The retrieval accuracy is slightly better for 20-m input groups than that for 10-m input groups, confirming the value of RE and/or SWIR in cropland LAI/FPAR estimate. This article also demonstrates that GEE is a suitable high-performance processing tool for high-resolution biophysical variables estimation.
The responses of soil, litter and root carbon stocks to the conversion of forest regrowth to crop and tree production systems used by smallholder farmers in eastern Amazonia

The impact of substituting forests for smallholder agricultural production systems on soil carbon (C) stocks is not well understood in Brazilian Amazonia. Most surveys of soil C stocks are restricted to the top 30 cm of soil and do not include measurements of litter and root stocks. Here, we quantify the stocks of C in soil (0–100 cm depth), aboveground litter and coarse roots of traditional (slash‐and‐burn) and alternative (Schizolobium amazonicum‐planted forest and silvopastoral system) smallholder agricultural systems, which were compared with a reference area (forest regrowth) in the eastern Amazonia. The soil C stocks in the 0–100 cm layer were larger in the forest regrowth treatment (156.8 ± 15.5 Mg/ha) than in the other treatments (S. amazonicum = 85.3 ± 6.5, silvopastoral = 108.0 ± 4.4 Mg/ha) but did not differ from the soil C stock in the slash‐and‐burn treatment (127.2 ± 6.1 Mg/ha). The soil C stocks at the 0–30 cm layer, which represented 33–50% of the total C of the 0–100 cm layer, did not differ among the treatments. The litter C stocks were ranked in the following order: silvopastoral > forest regrowth > S. amazonicum > slash‐and‐burn. The forest regrowth treatment had a greater coarse root C stock (0.84 ± 0.10 Mg/ha) than the other treatments (silvopastoral = 0.28 ± 0.03, S. amazonicum = 0.18 ± 0.03, slash‐and‐burn = 0.27 ± 0.04 Mg/ha). Soil, litter and root C stocks were negatively impacted by the conversion of forest regrowth to cultivation systems.
OLIGO-GLUCOMANNAN PRODUCTION FROM PORANG (Amorphophallus oncophyllus) GLUCOMANNAN BY ENZYMATIC HYDROLYSIS USING β-MANNANASE

Porang ( Amorphophallus oncophyllus ) is an indigenous tuber of Indonesia that rich in glucomannan. An alternative approach to produce porang oligo-glucomannan (POG) as prebiotic from porang glucomannan (PGM) was made by enzymatic hydrolysis using β-mannanase. This study aimed to produce POG under optimal conditions by controlled enzymatic hydrolysis process. The PGM flour contained 96.12% of indigestible carbohydrates. The optimum condition of enzymatic hydrolysis producing the highest reducing sugar was as follows: temperature 37°C, pH 5.5, a ratio of enzyme to the substrate (E/S) 1:1000, and reaction time 4 h. HPLC analysis confirmed that 99.45% of the resulting POG consisted of oligosaccharides with a degree of polymerization (DP) 3. Hence, the PGM utilized in this study has been proven as a potential substrate for POG production. Additionally, the resulting POG was considered as a functional ingredient due to has prebiotic potential.