Miracle-dz/UniFAR-FTUs huggingface dataset:
The genetic diversity and reproductive dynamics of sandalwood in Gunung Sewu (Java, Indonesia) in 2012-2019: designing conservation strategies in a continuous versus fragmented landrace

Abstract. Ratnaningrum YWN, Indrioko S, Karrin A, Kurniawan A, Putri ADC. 2021. The genetic diversity and reproductive dynamics of sandalwood in Gunung Sewu (Java, Indonesia) in 2012-2019: designing conservation strategies in a continuous versus fragmented landrace. Biodiversitas 22: 3219-3229. This research aimed to compare the dynamics of the genetic diversity, mating systems, and reproductive outputs of the most fragmented (Bejiharjo) and continuous (Bleberan) sandalwood landraces in Gunung Sewu in the flowering periods of 2012-2019. Among the different sandalwood landraces found in Gunung Sewu, Bejiharjo has the highest levels of santalol; unfortunately, this landrace also requires the most attention because of heavy habitat fragmentation resulting from overexploitation, urbanization, and cave-tourism activities. Compared with Bejiharjo, Bleberan demonstrated a wider genetic base and greater outcrossing. Mature and flowering individuals in Bejiharjo decreased from 2012 to 2019 as fragmentation increased, particularly in 2019, during which extreme individual reduction due to illegal logging and land conversion was noted. Recent years consisted of more-clonalized stands, as indicated by the finding of fewer distinct genotypes and higher clonality rates. Increases in clonality and narrowing of the genetic base over time increased selfing rates and reduced offspring heterozygosity and seedling recruitment. The dynamics of genetic diversity in Bleberan, which was relatively undisturbed, appeared to be highly affected by fluctuations in the number of parental genetic bases (i.e., flowering parents) in each flowering season. Some parents bore flowers in one flowering season but remained in a vegetative state in the following season. This irregularity of flowering individuals caused fluctuations in actual population size, resulting in a different genetic base, mating system, and reproductive outputs in every season. All six loci (i.e., Dia-1, Dia-2, Est-1, Est-2, Est-3, and Skd-1) examined in Bleberan are polymorphic sites, and no missing alleles were noted in any of the observation years. Est-2 was monomorphic in Bejiharjo, where rare and missing alleles were more apparent, particularly at the seedling level. Genetic differentiation over time was observed between Bejiharjo and Bleberan, and increased fragmentation was noted in Bejiharjo. The migration rate between these two landraces also decreased over time. Focusing on maintaining the reproductive and genetic processes of each population by implementing different strategies based on the genetic base, mating systems, and degree of fragmentation and clonality of the landrace is recommended.
Indirect impact of employees’ social capital on their income at Dong Thap Muoi, Long An Province

The study aims to examine the direct impact of social capital on the employment and income of workers. The research model is built based on Granovetter’s theory of the strength of weak-ties relationships, Putnam’s social capital theory, and the results of some related previous studies. The study used secondary data collected from 1,197 workers in the Dong Thap Muoi region of Long An province. Structural Equation Modeling (SEM) is used to analyze the data. The results show that social capital has a positive impact on the employment and income of workers, in which the trust factor has the most substantial influence. From the research results, some recommendations are proposed to increase work efficiency and increase employee income.
Surface EMG signal segmentation based on HMM modelling: Application on Parkinson’s disease

The study of burst electromyographic (EMG) activity periods during muscles contraction and relaxation is an important and challenging problem. It can find several applications like movement patterns analysis, human locomotion analysis and neuromuscular pathologies diagnosis such as Parkinson disease. This paper proposes a new frame work for detecting the onset (start) / offset (end) of burst EMG activity by segmenting the EMG signal in regions of muscle activity (AC) and non activity (NAC) using Discrete Wavelet Transform (DWT) for feature extraction and the Hidden Markov Models (HMM) for regions classification in AC and NAC classes. The objective of this work is to design an efficient segmentation system of EMG signals recorded from Parkinsonian group and control group (healthy). The results evaluated on ECOTECH project database using principally the Accuracy (Acc) and the error rate (Re) criterion show highest performance by using HMM models of 2 states associated with GMM of 3 Gaussians, combined with LWE (Log Wavelet decomposition based Energy) descriptor based on Coiflet wavelet mother with decomposition level of 4. A comparative study with state of the art methods shows the efficiency of our approach that reduces the mean error rate by a factor close to 2 for healthy subjects and close to 1.3 for Parkinsonian subjects.
EVALUATION OF GUAYULE RESIN AS AN INNOVATIVE BIO- BASED ASPHALT ALTERNATIVE IN MIX PERFORMANCE

Literature revealed the potential of using guayule resin for asphalt cement replacement from the binder’s perspective. However, monitoring guayule resin through binder-aggregate mixture could disclose its performance through field. In this study, designated binders were employed to investigate the applicability of such an innovative replacer through mixture, which were neat asphalt and guayule-based binders (neat guayule, asphalt-rubber-guayule, guayule-rubber binders). Consecutively, field-simulated lab mixtures were prepared to investigate the major distresses. Moisture damage, rutting, fatigue cracking, and thermal cracking resistances were investigated using the modified Lottman (TSR) test, rut test by asphalt pavement analyzer (APA), semi-circular bending (SCB) test, and disk-shaped compact tension (DCT) test, respectively. Additionally, the Hamburg wheel-tracking (HWT) test was employed to evaluate moisture susceptibility and rutting resistance. Outcomes revealed that the neat guayule was susceptible to moisture damage at a 7% air content (Va) when the TSR test was employed. In contrast, all investigated mixtures yielded perfect performances against moisture susceptibility under the HWT test. Guayule-based mixtures perfectly resisted rutting, as analyzed by the rut test and HWT test. Generally, changing parameters (e.g., Va, rubber addition, and partial asphalt replacement by guayule and rubber) enhanced the guayule-based mixture resistance to rutting and moisture damage resulting in acceptable performances. Guayule-based mixture had a high fracture toughness at low temperatures, hence fatigue fracture resistance at intermediate temperatures. Neat guayule mixture with or without rubber addition did not entirely resist thermal fracture. However, partial asphalt replacement by guayule and rubber resisted the thermal fracture to a great extent.
Grounded Theory for Designing Mobile User Interfaces-Based on Space Retrieval Therapy

—Technology plays a major role in our daily lives. In healthcare, technology assists in treating and detecting diseases and can improve patients’ quality of life. Alzheimer’s disease patients are generally elderly people who suffer from disabilities in vision, hearing, speech, and movement. The disease is one of the most common types of dementia. This paper proposes a design for a mobile application with an adaptive user interface for Alzheimer’s patients based on an elderly model developed using grounded theory. The application aims to improve the patients’ quality of life and allow them to remain engaged in society. The design of the application is based on spaced retrieval therapy (SRT), a method that helps Alzheimer’s patients to recall specific pieces of important information. User-centered design method was used to design and build this application. In the requirements phase, a user model for elderly people was elicited based on a classification developed through grounded theory. The prototype for the proposed model was designed and developed considering the default user interfaces and the adaptive user interfaces. A test was conducted with 15 elderly Arab users. The participants were 50–74 years old with varying levels of education and experience with technology. The authors proposed a user model for elderly people containing all the design implications in terms of physical and cognitive changes. The results of testing with elderly Arab users supported the proposed user model in terms of colors, fonts, pictures, and symbols. However, there were problems with the menu design and color preferences.
Media literacy in video production: An experiment with university students

This article describes an experimental academic e-course during the Covid-19 pandemic, in which 178 undergraduate students were asked to become video creators and narrators through a specific methodology in order to become digitally literate and produce original content.This practical e-workshop took place in the context of the “Video, Image and Audio Editing” course of the Department of Communication, Media and Culture at Panteion University and was adapted to the needs of a distance learning course. Its main aim was the students’ familiarization with literacy in digital tools and techniques that until now was only achieved in an actual laboratory setting. The research is divided into two phases. The first phase concerns this article and analyzes the methodology of video production as well as the students’ acquisition of digital tools. In the second phase, specific factors will be studied, from the videos produced, through qualitative research so as to determine the audience’s interaction with the narrative content, as well as with the factors that students believe contributed to the interaction of that content.Students gained knowledge of digital video tools which was upgraded to the capabilities and needs of each student. They acquired video editing skills based on the content through a specific theme and a theme of each group student’s choice. Students increased their literacy skills in both digital media and video projection on social media and gained knowledge concerning the interaction that was encouraged through these mediums. In this laboratory course, a specific methodology was used that included pre-production, production and post-production. The final product included two videos, the first with a specific theme and the second with a theme of each group student’s choice.
Brewing Next Generation Identity

The growing popularity of mobile apps, the “bring your own device” (BYOD) phenomenon, cloud computing, and big data, seem to have created the perfect storm for traditional identity technologies and solutions. Service providers - and certain users too - are increasingly aware that the features and benefits offered by an identity solution are worth nothing if a crafty attacker breaks through critical design elements, exposes secrets and private information
Research on Stock Return Rate-- Focus on Relationship among Stock Return Rate , Market Return Rate , Risk-Free Rate and Other Stock Return Rate in Chinese Stock Market

There is a certain relationship among stock return rate, market return rate and risk-free interest rate, which is worth discussing, and it is helpful for us to analyze stocks and evaluate their prices. I have found that the market return rate and riskfree rate have correlation through multiple regression, and other stock's return rate can affect the target stock to some extent. The stock return rate is positively related to the market interest rate and inversely related to the risk-free interest rate.
Structure of ant-diaspore networks and their functional outcomes in a Brazilian Atlantic Forest

Ants are able to interact with fruits and seeds that are not adapted for ant seed dispersal. In Brazil, several studies show interactions of ants with non-myrmecochorous diaspores; however, few of them have studied the structure of ant-fruit networks. The use of the network approach allows visualising multiple interactions between partners and how they are shaped by the community context. Our study aims to investigate ant-fruit networks as well as quantitative and qualitative dispersal components in a fragment of the Brazilian Atlantic Forest. We investigated the structure of interaction networks, diaspore removal rates, diaspore destination and dispersal distance over two years of observation. We constructed three interaction networks: dry season, rainy season and total, with the latter comprising the two formers. The diaspore removal rate, dispersal distance and diaspore destination experiments were performed for the plant species Miconia calvescens, Miconia prasina, Psychotria leiocarpa and Inga edulis. We recorded a large number of interactions, with diaspore cleaning being more frequent than removal. Ant-diaspore networks were nested, non-modular and little specialized. M. calvescens, M. prasina and I. edulis showed higher diaspore removal rates. Diaspore removal distances were the same among M. calvescens, M. prasina and I. edulis. In M. calvescens and I. edulis, the main diaspore destination was the ant’s nest. Our study shows that diaspore cleaning is the most common behavior in ant-diaspore interactions and there are no differences in the organization of interaction networks over the seasons. These results have implications for the future structure of plant communities, considering that a small part of the diaspores is removed, and that most of them are cleaned, favouring germination at the deposition site.
The way insoluble fiber incorporated in the diet changes its physiological response

The physiological effect of insoluble fibers may change with diet composition. The present study aimed to determine the difference in the physiological responses of broiler chickens fed diet incorporated with rice hulls in different ways. Two hundred and forty broiler chicks at two-days old were randomly placed in 30 cages and fed: control diet (based on corn-soybean) (CO), rice hull supplementation diet (CO + 4% of rice hulls) (RS), and rice hull inclusion diet (inclusion of 4% rice hulls in diet) (RI). The significant effects were mostly found in the starter phase. The RI increased ADG (P<0.05) but reduced empty ceca weight (P<0.05) in comparison to CO and RS. The RS increased the jejunal crypt depth (P<0.05) and reduced the small intestinal content (P<0.05). Birds fed RS and RI had higher villus height (P<0.05) and thicker jejunal mucosa (P<0.05) than those fed the CO. In the finisher phase, birds fed the RS had the narrower width of the upper and lower jejunal villi than the others. Supplementation or inclusion of insoluble fiber in the diet will lead to different physiological responses due to changes in diet composition.
Electric Equipment Inspection on High Voltage Transmission Line Via Mobile Net-SSD

Daily check and inspection of electrical utilities on the transmission line to find out faults or malfunction data and analyze, it’s to ensure normal state of electrical equipment really difficult in any situation. Machine-controlled inspections by like robots or drones for power transmission infrastructures is an indispensable way to assure the safety of power transmission. Targeted object detection and classification of the power transmission infrastructure is the prerequisite for automatic inspection. In our experiment we have create the dedicated datasets of the electric equipment on power transmission line for multi-object detection, including our data collection, prepossessing and annotation. This work has been done multiple experiments to solve our functional problem and compare novel state of art deep learning methods such as Faster R-CNN, Mask R-CNN, YOLO, and SSD with MobileNet is a base feature extractor, to realize the electric equipment on power transmission line detection. For Condition monitoringand diagnosis identification of the importance of electric equipment on the electric transfer line, in the proposed deep detection approach, the Single-Shot Multi-box Detector (SSD) is a powerful deepmeta-architecture. The results show that our method can automatically detect electric equipment on high voltage transfer defects more accurately and rapidly than lightweight network methods and traditional deep learning methods. Results shed new light on defect detection in actual in progressive scenarios. In our research the main goal to show the implementation of the object detection on electric equipment's inspections on high voltage electric transfer lines on drone video using MobileNet-SSD object detection and recognition.
ACOUSTIC WAVE PROPAGATION IN HIGH SCALE IMPEDANCE MISMATCH MEDIUMS

A finite element analysis of acoustic propagation in a multilayered medium is presented in this paper. A circular transmitter (diameter 14 mm, thickness 3 mm) and a rectangular receiver (20×10×0.5 mm3) are set to detect the variations in the propagation pattern. A complex medium (70×40×60 mm3) composed of skin, fat, muscle, bone and liquid is designed in a simulated environment. A scale of frequencies (10 kHz to 2 MHz) is applied to trace the impact on the propagation pattern as well. It is found from the analysis that fat and liquid layers affect the acoustic propagation the most (-69 dB), which results in a significant drop in the received sound pressure level at the receiving end. Again, other than skin and fat layers, low frequencies (less than 1 MHz) are more beneficial in terms of sound pressure level. However, higher frequencies contribute to lower displacements at the receiving end, which will cause less power potential as well. ABSTRAK: Analisis elemen terhingga bagi penyebaran akustik dalam medium berlapis dibentangkan dalam kajian ini. Pemancar bulat (diameter 14 mm, ketebalan 3 mm) dan penerima segi empat tepat (20 × 10 × 0.5 mm3) diatur bagi mengesan perubahan pola penyebaran. Medium kompleks (70 × 40 × 60 mm3) yang terdiri daripada kulit, lemak, otot, tulang dan cecair direka dalam persekitaran simulasi. Skala frekuensi (10 kHz hingga 2 MHz) digunakan bagi mengesan corak penyebaran. Dapatan kajian menunjukkan bahawa lapisan lemak dan cecair mempengaruhi penyebaran akustik (-69 dB), yang mengakibatkan penurunan mendadak tahap penerimaan tekanan bunyi di hujung penerima. Selain lapisan kulit dan lemak, frekuensi rendah (kurang dari 1 MHz) adalah lebih berguna dari segi tahap tekanan suara. Walau bagaimanapun, frekuensi lebih tinggi menyebabkan kurang anjakan di hujung penerima, sekaligus mengurangkan potensi daya tenaga.
Pengembangan Algoritma Particle Swarm Optimization dan Simulated Annealing untuk Menyelesaikan Vehicle Routing Problem with Drone

Vehicle Routing Problem with Drone (VRPD) is a problem of determining the number of routes for delivery of goods from the depot to a number of customers using trucks and drones. Drones are an alternative delivery tool besides trucks, each truck can be equipped with a support drone. Drones can be used to make a delivery while the truck is making others. By combining a truck and a drone, the truck can act as a tool for drone launch and landing so that the drones can reach long distances from the depot. The purpose of this problem is to minimize the cost of sending goods by trucks and drones. In this study, the Particle Swarm Optimization (PSO) and the Simulated Annealing (SA) are proposed to solve these problems. The Route Drone algorithm are used to help change the structure of the PSO and SA solutions into a VRPD solution. The proposed algorithm has been applied to 24 different scenarios ranging from 6 customers to 100 customers. The PSO and SA algorithms are able to find solutions that are close to optimal. The SA is able to find a better solution than the PSO.
Formulation and evaluation of floating gastroretentive capsules of acyclovir with piperine as a bioenhancer

The aim of the present investigation was to develop and evaluate the sustained release hydrodynamic balanced systems for acyclovir using hydrocolloid polymers such as hydroxy propyl methylcellulose (HPMC) and ethyl cellulose (EC). Floating was achieved by adding an effervescent mixture of sodium bicarbonate and anhydrous citric acid. The best formulation was selected based on in vitro characteristics and further in vivo studies were carried out on Sprague Dawley strain rats to evaluate the bioavailability of the drug. Nearly two times higher Area under the curve (AUC) was observed as compared to the drug solution. In addition, Acyclovir formulation showed the ability to maintain the acyclovir plasma concentration through 24 hr as compared to the drug solution that could maintain this level of drug only for 4 hr.
The disappearance of vitexin from Tartary buckwheat flour-water mixtures after the hydrothermal treatment

Vitexin is an apigenin flavone glucoside with known biological functions. This research reported the effects of initial temperature treatments of Tartary buckwheat flour mixture with water and time of methanol extraction from the cooked doughs on the amount of extractable vitexin. The mixtures of flour and water were initially hydrothermally treated at temperatures from 25 °C to 95 °C. Afterward the mixtures were cooked at 95 °C for 20 min, and vitexin extracted at room temperature with 80% aqueous methanol for 20 min, 2 h and 8 h. The extractable vitexin was extracted during the same extraction times for the control in the nonhydrothermally treated Tartary buckwheat flour-water mixture samples. For the cooked dough samples, the hydrothermal treatments were important in terms of the extractability of vitexin. The extractable vitexin persisted in the control samples during the extraction time up to 8 hours, while in the hydrothermally treated and cooked dough samples, there remained none detectable vitexin. The high-temperature initial treatments during dough preparation appeared not to prevent the degradation of vitexin in Tartary buckwheat flour.
Encoding Retina Image to Words using Ensemble of Vision Transformers for Diabetic Retinopathy Grading

Diabetes is one of the top ten causes of death among adults worldwide. People with diabetes are prone to suffer from eye disease such as diabetic retinopathy (DR). DR damages the blood vessels in the retina and can result in vision loss. DR grading is an essential step to take to help in the early diagnosis and in the effective treatment thereof, and also to slow down its progression to vision impairment. Existing automatic solutions are mostly based on traditional image processing and machine learning techniques. Hence, there is a big gap when it comes to more generic detection and grading of DR. Various deep learning models such as convolutional neural networks (CNNs) have been previously utilized for this purpose. To enhance DR grading, this paper proposes a novel solution based on an ensemble of state-of-the-art deep learning models called vision transformers. A challenging public DR dataset proposed in a 2015 Kaggle challenge was used for training and evaluation of the proposed method. This dataset includes highly imbalanced data with five levels of severity: No DR, Mild, Moderate, Severe, and Proliferative DR. The experiments conducted showed that the proposed solution outperforms existing methods in terms of precision (47%), recall (45%), F1 score (42%), and Quadratic Weighted Kappa (QWK) (60.2%). Finally, it was able to run with low inference time (1.12 seconds). For this reason, the proposed solution can help examiners grade DR more accurately than manual means.