Miracle-dz/UniFAR-FTUs huggingface dataset:
Watershed prioritization based on morphometric characteristics using integrated RS-GIS and MCDM technique: A case of Chathe watershed

Chathe watershed is divided into seven sub-watersheds that are prioritized for soil and water conservation based on linear, areal, and relief features. Individual aspects as well as an integrated index created by the AHP and TOPSIS were used to priorities sub-watersheds from the ALOS-PALSAR DEM. The final result revealed that WS2 was the most prioritized sub-watershed with a high priority rating, with WS4 and WS7 following closely behind. WS3 and WS6 are on the moderate level, while WS1 and WS5 are in the low level. Higher linear and relief characteristics, as well as higher drainage density and stream frequency in an elongated basin with lower infiltration, were found to be more vulnerable. This work will assist the research community in taking necessary soil and water conservation measures in that area in future.
Pre-service teachers’ experiences of a lesson study approach as a form of student support

This paper reports on how a team of final-year pre-service teachers experienced a lesson study approach, as a program-specific form of student support. Guided by Bandura's social learning theory, this purposive qualitative case study reveals how the pre-service teachers' engagement in the lesson study approach triggered feelings of commitment, dedication and motivation to succeed in the process of developing well-structured lesson presentations for a teaching practicum experience. The paper describes how the lesson study approach allowed the team of pre-service teachers to engage in collaborative practices which enabled them to share creative lesson ideas in a small-group format. The paper further reports on the lesson reflection experiences encountered by the pre-service teachers which empowered them to reflect and learn from their fellow peers' teaching experiences. The paper suggests that the lesson study approach, as a form of student support, serves as a valuable intervention that has the potential to better the lesson preparation capabilities of pre-service teachers in development. Further research should consider a larger sample that might render more diverse experiences in terms of how pre-service teachers experience a lesson study approach.
The Influence of Customer Experience on Repurchase Intention to Shopee Application Users

The development of the internet and information media create changes to the trading sector that generate a new trading style by benefiting the existence of the marketplace. Its fast growth tightens the competition among marketplaces, so there has to be identification of the variables that affect customer repurchase intention mainly related to customer experience. Thus, one of the companies could win the battle. Literature shows that customer experience is one of the variables that can affect repurchase intention. This research aims at finding how big is the influence of customer experience on customer repurchase intention on the Shopee app. The method used in this research is quantitative whereas the data are collected by distributing a questionnaire to sixty-eight respondents using the Shopee app. The result shows that customer experience influences 71.7% of repurchase intention where the rest 28.3% is affected by other factors.
Nonlinear evolution of a first mode oblique wave in a compressible boundary layer

The nonlinear stability of an oblique mode propagating in a two-dimensional compressible boundary layer is considered under the long wavelength approximation. The growth rate of the wave is assumed to be small so that the ideas of unsteady nonlinear critical layers can be applied. It is shown that the spatial/temporal evolution of the mode is governed by a pair of coupled unsteady nonlinear equations for the disturbance vorticity and density. Expressions for the linear growth rate show clearly the effects of wall heating and cooling, and in particular how heating destabilizes the boundary layer for these long wavelength inviscid modes at O(1) Mach numbers. A generalized expression for the linear growth rate is obtained and is shown to compare very well for a range of frequencies and wave angles at moderate Mach numbers with full numerical solutions of the linear stability problem. The numerical solution of the nonlinear unsteady critical layer problem using a novel method based on Fourier decomposition and Chebyshev collocation is discussed and some results are presented
FLORISTIC COMPOSITION AND CARBON STOCKS OF TREE SPECIES OF DIFFERENT CONSERVATION STATUS FOLLOWING SELECTIVE LOGGING IN A MOIST SEMI-DECIDUOUS FOREST IN GHANA

Understanding the impact of commercial logging on composition and carbon storage of functionally different species is critical for sustainability of forest resources. This study assessed the floristic composition and carbon stocks of tree species of different conservation status along a post-logging chronosequence regime within the Bobiri Forest Reserve (BFR). Experimental plots were established in different post-logged sites within BFR, namely: 1-, 10-, 21-, 30-, 43- and 50 years post-logged sites (tagged as Y 1, Y 10, Y 21, Y 30, Y 43 , and Y 50 ). In addition, plots were established in an unlogged / undisturbed area which shows the characteristics of a strict nature reserve (tagged SNR) as control. Data was collected in 10 randomly selected temporary sampling plots (TSPs) in each site. The main sample plot (MSP) i.e. 50 m x 50 m (2500 m 2 ) was divided into four sub-plots (SP) of size 25 m x 25 m (625 m 2 ) and the sub-plots were further subdivided into sub-sub plots (SSP) of size 12.5 m x 12.5 m (156.25 m 2 ), to form a nested sample plot design. Tree species in the stands were identified and classified according to their conservation status/ star rating. The results of the study indicated that proportional abundance of species with different star ratings was significantly different with green and pink stars generally dominant across the stands. Carbon stock estimates increased from 193.5 ± 36.4 in the SNR to 293.3±45.1 in Y 50 , but was not significantly different. However, carbon storage among star categories was significant (p < 0.05) despite the low abundance of species in some of the categories. This phenomenon was due to the high proportions of carbon stocks in large and medium trees of species belonging to the green, pink, red and scarlet stars. The high carbon stocks of scarlet and red star species despite their low densities calls for management interventions to enhance their stocking levels within the reserve.
The Influence of Character and Personality Education on Students' Confidence Levels: The Importance of Coaching and Continuity in Education Maryanah

This study aims to analyze the effect of character and personality education on students' self-confidence levels and emphasizes the importance of coaching and continuity in education. This study uses a quantitative method with a descriptive analysis approach. The data used are primary. Data were collected using research instruments. The research subjects were D3 Midwifery students in the first semester. Based on the results of data and analysis, it can be concluded that most of the D3 Midwifery students in the first semester of Health Polytechnic have a sufficient level of confidence, meaning that midwifery students still need to develop selfconfidence through continuous coaching and guidance so that they have confidence, especially in decision making and relationships with patients and the community.
The Unintended Consequences of Post-Disaster Policies for Spatial Sorting

Post-disaster aid aims to relieve affected communities, but excessive bailouts may encourage economic activity to remain in exposed areas. We provide new empirical and theoretical evidence on the spatial consequences of post-disaster policies related to political motives. Using the exogenous variation in the timing of natural disasters, we show that hurricanes close to Election Day lead to increased post-disaster efforts at the local level and result in increased population sorting into the impacted areas. To quantify and comprehend the implications of this new sorting pattern for the aggregate economy, we introduce the relationship between electoral cycles and postdisaster policies as a new feature in a dynamic spatial general equilibrium model. We show that households respond to current post-disaster policies by sorting in hazardprone coastal areas. In the short run, current post-disaster policies improve aggregate welfare at the expense of large overall GDP and productivity losses. JEL Codes: Q54, D72, H53, H84
Detection and Localization of Image Tampering using Deep Residual UNET with Stacked Dilated Convolution

Summary Image tampering detection and localization have become an active area of research in the field of digital image forensics in recent times. This is due to the widespread of malicious image tampering. This study presents a new method for image tampering detection and localization that combines the advantages of dilated convolution, residual network, and UNET Architecture. Using the UNET architecture as a backbone, we built the proposed network from two kinds of residual units, one for the encoder path and the other for the decoder path. The residual units help to speed up the training process and facilitate information propagation between the lower layers and the higher layers which are often difficult to train. To capture global image tampering artifacts and reduce the computational burden of the proposed method, we enlarge the receptive field size of the convolutional kernels by adopting dilated convolutions in the residual units used in building the proposed network. In contrast to existing deep learning methods, having a large number of layers, many network parameters, and often difficult to train, the proposed method can achieve excellent performance with a fewer number of parameters and less computational cost. To test the performance of the proposed method, we evaluate its performance in the context of four benchmark image forensics datasets. Experimental results show that the proposed method outperforms existing methods and could be potentially used to enhance image tampering detection and localization.
A CRISPR-Cas12a integrated SERS nanoplatform with chimeric DNA/RNA hairpin guide for ultrasensitive nucleic acid detection

Background: CRISPR-Cas12a has been integrated with nanomaterial-based optical techniques, such as surface-enhanced Raman scattering (SERS), to formulate a powerful amplification-free nucleic acid detection system. However, nanomaterials impose steric hindrance to limit the accessibility of CRISPR-Cas12a to the narrow gaps (SERS hot spots) among nanoparticles (NPs) for producing a significant change in signals after nucleic acid detection. Methods: To overcome this restriction, we specifically design chimeric DNA/RNA hairpins (displacers) that can be destabilized by activated CRISPR-Cas12a in the presence of target DNA, liberating excessive RNA that can disintegrate a core-satellite nanocluster via toehold-mediated strand displacement for orchestrating a promising “on-off” nucleic acid biosensor. The core-satellite nanocluster comprises a large gold nanoparticle (AuNP) core surrounded by small AuNPs with Raman tags via DNA hybridization as an ultrabright Raman reporter, and its disassembly leads to a drastic decrease of SERS intensity as signal readouts. We further introduce a magnetic core to the large AuNPs that can facilitate their separation from the disassembled nanostructures to suppress the background for improving detection sensitivity. Results: As a proof-of-concept study, our findings showed that the application of displacers was more effective in decreasing the SERS intensity of the system and attained a better limit of detection (LOD, 10 aM) than that by directly using activated CRISPR-Cas12a, with high selectivity and stability for nucleic acid detection. Introducing magnetic-responsive functionality to our system further improves the LOD to 1 aM. Conclusion: Our work not only offers a platform to sensitively and selectively probe nucleic acids without pre-amplification but also provides new insights into the design of the CRISPR-Cas12a/SERS integrated system to resolve the steric hindrance of nanomaterials for constructing biosensors.
Optimization and characterization of edible film composite of k-carrageenan Kappaphycus alvarezii and beeswax nanoemulsion

The objective of this study was to optimize and analyze the effect of homogenization rate on the physical characteristics of the edible film of k-carrageenan composite of Kappaphycus alvarezii and beeswax. The edible film was made from the composite of k-carrageenan flour of K. alvarezii 4%, 1.2% beeswax, and 2% glycerol (b/v), then homogenized at different rates, A1= control, A2 = 2250, A3 = 2500, A4 = 2750, and A5 = 3000 rpm for 10 min. The physical characteristics, such as thickness, percent solubility, tensile strength, elongation, and water vapor tranmission rate, were analyzed for each sample. Results showed that the homogenization rate significantly influenced the change in the physical characteristics of the edible film of K. alvarezii carrageenan composite. It also highly significantly affected in reducing the water vapor transmission rate and increasing the thickness, solubility, tensile strength and elongation (p < 0.01). The best edible film was recorded in nannoemulsion of K. alvarezii carrageenan flour homogenized at 3000 rpm with mean value of 0.1539 mm thickness, 74.1494% solubility, 20.2 N mm -2 tensile strength, 33.3333% elongation, and 19.9775 g m -2 h -1 water vapor transmission rate.
Genetic Diversity Analysis in Barnyard Millet Germplasm

A study was conducted to evaluate the genetic diversity studies among fifty-three genotypes of Barnyard millet in Randomized Block Design with two replications. Diversity analysis for qualitative traits by Dice Similarity Co-efficient and UPGMA method grouped the genotypes into eight clusters indicating the presence of enough diversity among the genotypes. The clustering of the genotypes based on the quantitative characters was done by using the D 2 method. Out of 12 clusters formed, the maximum inter-cluster distance was found between cluster V and cluster VIII, indicating high diversity between the genotypes present in these two clusters. Cluster VIII included the genotypes, which showed significantly higher mean for grain yield and maximum value for many of the yield contributing traits and grain yield/ plant. The clustering pattern also indicated that the genotypes are grouped irrespective of their geographical origin.
Effect of Camellia sinensis and Euphorbia hirta extracts on the quality of cobia ( Rachycentron canadum ) fillets during ice storage

The present research evaluated the effects of Camellia sinensis and Euphorbia hirta on the quality of cobia ( Rachycentron canadum ) fillets over a period of 15 days storage at 4ºC. The study included three treatments: soaking cobia fillets in cold tap water as a control treatment, in 0.06% of C. sinensis extract solution and in 0.06% of E. hirta extract solution. The samples were stored for 15 days and sampling was done at 1, 5, 10 and 15 days. Evaluated parameters included total viable count, physicochemical parameters (water holding capacity, total volatile basic nitrogen, peroxide value, thiobarbituric acid reactive substances, moisture, and pH), sensory properties and color measurement. Results showed that cobia fillets treated with C. sinensis and E. hirta extracts showed reduced lipid oxidation, inhibited bacteria growth, and enhanced sensory properties compared to untreated samples. In addition, treatment of two extracts did not affect the pH, moisture, water holding capacity, total volatile basic nitrogen, and color of fillets during ice storage. Based on the total viable count, shelf-life of cobia fillets untreated or treated with two extracts can be prolonged up to 10 days. Words
Examination of the DL Based Ubiquitous Multiple Input Multiple Output U/L NOMA System Considering Robust Fading Channel Conditions for Military Communication Scenario

— In this work, we investigate the end-to-end performance of the uplink (U/L) non-orthogonal multiple access (NOMA) system based on the novel Bi-directional long short-term memory (Bi-LSTM) algorithm over the frequency flat independent and identically distributed (i.i.d.) Rayleigh fading channel conditions. When compared to conventional successive interference cancellation (SIC) MIMO-NOMA-based detection systems, the suggested deep learning (DL) based technique integrates the conventional multiple-input multiple-output (MIMO) and power-domain NOMA schemes to improve the symbol error rate (SER) performance. To this end, an optimal power allocation problem for the MIMO-NOMA scheme has been developed that maximizes the data throughput of the end-to-end system. In this work, both imperfect and perfect SIC schemes are considered, and performance comparison is provided between the Bi-LSTM based MIMO-NOMA and LSTM MIMO-NOMA schemes. The SIC NOMA system achieves 15 dB for 10 6 iterations, but the DL-based MIMO-NOMA scheme achieves 15 dB for 100 iterations. By a factor of four, Bi-LSTM MIMO-NOMA schemes outperform SIC MIMO-NOMA methods. Rather than utilizing conventional SIC systems to determine fading channel coefficients and decode signals, the suggested scheme estimates the relevant data symbol using the more efficient Bi-LSTM algorithm. There is a 4 dB difference, indicating that DL-based MIMO-NOMA outperforms conventional SIC MIMO-NOMA approaches. Furthermore, when the channel estimation error is enhanced from 0 to 1, the performance of DL is considerably decreased. Even with perfect channel state information (CSI), the DL detector outperforms the SIC detector for channel estimate errors of less than 0.07. When differences between the real and predictable channel states occur, the DL detector's performance suffers significantly, yet it can still maintain its majority within a predetermined tolerance range.
Knowledge, Attitude and Practice towards Hepatitis B Prevention Among Medical Students at Copperbelt University, Ndola Zambia

Introduction: Hepatitis B viral infection is a viral infection that attacks the liver and can cause acute and chronic disease with systemic manifestation. The infection is one of the major causes of morbidity and premature death and contributes substantially to the escalating costs of health care globally and locally. The main objective of this study is to assess the knowledge, attitude, and practice regarding viral hepatitis B infection prevention among medical students at Ndola Teaching Hospital in Ndola, Zambia. Methodology: An analytical cross sectional study was conducted among medical students studying bachelor of medicine and surgery and bachelor of dental surgery at the Copperbelt University School of medicine and Ndola Teaching Hospital. The total number of patients that met the inclusion criteria and thus enrolled in the study was 162. Ethical approval was obtained from Tropical Disease Research Centre (TDRC) and permission to conduct the study among the clinical students was granted by the copperbelt university school of medicine. Data was collected from clinical students with a use of a questionnaire and it was entered and analyzed with the use of SPSS 23. Results: The assessment, the majority of students demonstrated that they had good knowledge (91.4%), attitude (75.9%) and practice (90.7%) towards HBV prevention. Furthermore, the findings showed that there was correlation between the level of practice and knowledge, year of study and attitude toward HBV infection prevention with the P-values of 0.018, 0.028 and 0.003 respectively. Conclusion: The levels of knowledge attitude and practice among participants were high. With this outcome, we recommend that the current system of training among clinical students with regard to HBV infection prevention should continue with more emphasis on developing the right attitude.
Effects of Cyanogenic Glycosides and Their Breakdown Products on Callus Growth of Three Prunus Species Prunus Species Prunus

The effects of the cyanogenic glycosides, amygdalin and prunasin, and their breakdown products, cyanide and benzaldehyde, on callus derived from peach ( Prunus persica ‘Poly’), sand cherry ( P. besseyi ), and Nanking cherry ( P. besseyi ), and Nanking cherry ( P. besseyi P. tomentosa ) were compared. Prunasin (D-mandelonitrile- tosa ) were compared. Prunasin (D-mandelonitrile- tosa β -D-glucoside) inhibited the growth of sand and Nanking cherries but not peach. Amyygdalin (D-mandeloni-trile- β -D-gentiobioside) did not show strong inhibition of the callus cultures. All three species were inhibited by sodium cyanide with sand cherry and Nanking cherry showing the strongest inhibition. Sand cherry and Nanking cherry similarly showed greater sensitivity to benzaldehyde, another catabolite of prunasin. The greater sensitivity of sand and Nanking cherries to the cyanogenic glycoside, prunasin, suggests that it may be an important factor in the peach graft incompatibility with sand and Nanking cherries.
THE MODERATING ROLE OF AUDIT QUALITY ON THE RELATIONSHIP BETWEEN IFRS ADOPTION AND EARNINGS MANAGEMENT: EVIDENCE FROM BANGLADESH

Purpose: The intent of the study is to explore the effect of IFRS adoption on earnings management (EM) in an emerging economy like Bangladesh, as well as identify the moderating role of audit quality (AQ) on the relationship between IFRS and EM. Design/methodology/approach: The study sample contains 94 firms, listed in Dhaka stock exchange (DSE) for 6 years in two time frame as pre and post adoption of IFRS viz.2004-06 and 2013/14-2015/16. Following literature this study applied extended modified Jones model and Roychowdhury model to estimate the value of discretionary accruals (DA) and real earnings management (REM) respectively. Findings: Empirical outcome of the analysis shows that IFRS adoption has significant inverse relationship will both proxy of EM. It also reveals that AQ has significant negative relationship with DA. However, there no significant relationship between AQ and REM. Moreover, audit quality significantly moderate the relationship between IFRS and DA where it has insignificant role in the relationship between IFRS and REM. Originality/value: The study contributes in the literature by extending the knowledge in the context of emerging economy. Moreover, the role of AQ in the relationship between IFRS and EM is explored which may add value to policy makers.