Miracle-dz/UniFAR-FTUs huggingface dataset:
Perception, attitude, and motive of local community towards forest conversion to plantation in Dharmasraya District, West Sumatra, Indonesia

Rangga KK, Yonariza, Yanfika H, Mutolib A. 2020. Perception, attitude, and motive of local community towards forest conversion to plantation in Dharmasraya District, West Sumatra, Indonesia. Biodiversitas 21: 4903-4910. Forest conversion in Dharmasraya District massively occurred from 2000 to 2014. In 2000, forest area reached 86% of 33,550 ha. In 2014, forest cover reduced to only 16% with an increase in plantation area (rubber and oil palm), covering 59% of the total area. This study was aimed to examine the perception, attitude, and motive of the local community regarding forest conversion to the plantation. This study was located in PFMU (Production Forest Management Unit) Dharmasraya West Sumatra, which included a production forest area. This study was conducted from February to August 2018 with a case study approach. A total of 40 households, was selected as respondents. Snowball sampling was applied to interview the key informants. Data were analyzed using the interactive model, which included data reduction, data presentation, also conclusion drawing and verification. The study result indicated that forest is owned by the local community based upon the customary law, and the state does not have the right to manage and claim forest ownership. In terms of the economic aspect, the community benefited greatly from wood availability in the forest as the source of income. According to the local community, the conversion of forests into plantation did not have a significant effect on the environment. In fact, the local community agreed that land-use change from forest to plantation will provide greater benefit than preserving the forest. The expansion of plantation was found to be the motive for land clearance by cutting trees to obtain ownership over the forest.
Les pédagogies actives par problèmes et par projets à l’épreuve de la distance : questions à l’ingénierie

Introduction Le debat propose par Distances et Mediations des Savoirs en 2020 porte sur l’ingenierie pedagogique. Il est introduit par le texte de Peraya et Peltier (2020a), mis en ligne la veille de l’annonce des mesures de confinement prises pour enrayer la pandemie generee par la Covid-19. La situation sanitaire a reoriente ce debat vers l’ingenierie en situation de crise, comme en temoigne le numero suivant (Peraya et Peltier, 2020b ; Villiot-Leclercq 2020 ; Caron, 2020 ; Laurent, Dessus .
A facile synthesis of platinum nanoparticle decorated graphene by one-step γ-ray induced reduction for high rate supercapacitors

A facile method has been developed to synthesize a high-quality platinum nanoparticle (PtNP) decorated graphene via one-step γ-ray induced reduction of graphite oxide (GO) and chloroplatinic acid at room temperature. GO and Pt(IV) precursor salt could be co-reduced by the electrons generated from the radiolysis of ethylene glycol under γ-ray irradiation. The synchronous reduction of the metal precursor and regulation of pH greatly increased the ratio of C/O in the reduced GO (RGO). PtNPs with an average diameter of 1.8 nm were uniformly dispersed on the surface of RGO sheets. The as-prepared PtNP–RGO composites as supercapacitor electrodes displayed a specific capacitance of 154 F g−1 at a current density of 0.1 A g−1 and the value retained as high as 72.3% at 20 A g−1 which was significantly enhanced compared to 16.2% capacity retention of RGO prepared by the same method. The investigation of electrochemical performances suggests that PtNPs play an important role in enhancing supercapacitor performance with high rate capability by accelerating the electron transfer and increasing the electrochemical active surface area of RGO.
Interactive Virtual Rehabilitation for Aphasic Arabic-Speaking Patients

A R T I C L E I N F O A B S T R A C T Article history: Received: 04 August, 2020 Accepted: 19 September, 2020 Online: 24 October, 2020 Objective: Individuals with aphasia often experience significant problems in their daily lives and social participation. Technologies that address speech and language disorders deficit in merging between therapist’s major role and reinforcing the training between sessions at home. It also lacks the Arabic language attention; however, current systems are typically expensive and lack amusement. Moreover, cumulative feedback for both patient and therapist incapacitates the whole home rehabilitation process. This project sought to address these issues by developing an interactive rehabilitation-based system for people with aphasia. Methods: A virtual reality (VR) environment is created providing real-life situations with task specific training of comprehension in addition to a virtual speechlanguage pathologist (SLP) representing lip motions for correct pronunciation of target words. A speech recognition convolutional neural networks (CNN) algorithm based on signal processing is created and trained on ten isolated Arabic words. We tempted logspectrograms and Mel-frequency cepstral coefficients (MFCC) as feature extractors for the CNN model which is then integrated for accurate evaluation of input speech from the aphasic patient providing a real-time feedback resulting in measuring speech improvement and sends it to the SLP through the network via a website platform. Results: Our speech recognition assessment algorithm results in a recognition accuracy of 95.2 % using LogSpectrograms feature extraction method and 92.6 % using MFCC. Significance & Conclusion: We hypothesize that this interactive VR therapy combined with speech function training will result in faster word retrieval and improve language ability of patients with aphasia and that our outcomes contribute to the development of a home-based language and speech therapy.
Extended Harmonics Based Phase Tracking for Synchronous Rectification in CLLC Converters

Synchronous rectification (SR) is one of the well-known methods to reduce the conduction losses by replacing the power diodes. The control of SR requires the phase information of the device current. In this paper, a novel extended harmonics approximation modeling approach is introduced for CLLC resonant converters to estimate the phase of its secondary side current accurately. Conventionally, the first harmonic approximation (FHA) is used to model any resonant converter; however, FHA works more accurately near the resonant frequency operation. But in case of a set of unmatched LC tank parameters in the primary and secondary side of a CLLC converter, there is no uniquely defined resonant frequency, which reduces the accuracy of the FHA model. Unlike FHA-based approach, our proposed modeling considers the effects of other odd order harmonics present in the square wave voltage waveform towards determining the zero-crossing instant or phase information of the resonant currents. The proposed concept is verified through experimental results obtained at 3.3-kW load condition, and the converter efficiency is improved by 1.8% with the proposed phase tracking technique, compared to FHA modeling approach.
Construction of Industry-University-Research-Application System under the Background of Mass Entrepreneurship and Innovation Education

In recent years, entrepreneurship and innovation education has become an important theme in the reform and deepening of China’s education system. Based on the analysis of the current situation of China’s economic reform and social development, this paper fully analyzes and verifies the practical significance of entrepreneurship and innovation education, as well as the curriculum content, education system, application system and other practical problems existing in the existing development. Combined with the policy guidance and the main resource advantages of all parties, this paper puts forward the optimization countermeasures and suggestions on the construction of the production, teaching, research and application system of the entrepreneurship and innovation education and the application level of the educational achievements, so as to provide some reference for the development and deepening of China’s entrepreneurship and innovation education.
In Times of Crisis: Public Perceptions Towards COVID-19 Contact Tracing Apps in China, Germany and the US

The adoption of COVID-19 Contact Tracing Apps (CTA) has been proposed as an important measure to contain the spread of COVID-19. Surveys that compare public perceptions of CTAs, especially in different types of political regimes, remain limited. Based on a cross-national dataset with 6,464 respondents from China (n=2,201), Germany (n=2,083), and the United States (n=2,180), this paper analyzes public perceptions towards CTAs and the factors that drive CTA acceptance in these three countries. Results indicate that public acceptance is highest among Chinese respondents where almost 60 percent strongly accept the use of CTAs to contain COVID-19. This stands in contrast to Germany and the United States, where fewer than 20 percent strongly accept its use. Despite these stark differences in cross-country acceptance rates, our study shows that the factors influencing these rates are similar in all three countries irrespective of the type of political regime. Health concerns during the pandemic and the fear of a second wave of infections seem to have a positive impact on levels of CTA acceptance in the three countries. Other strong predictors of CTA acceptance in all three countries appear to be the perceived effectiveness of these apps and other measures taken to contain COVID-19, previous use of other health apps as well as levels of trust in the state which all show positive effects. While levels of trust cannot be influenced through straightforward measures, short term acceptance rates could be increased by highlighting CTAs’ performance outcomes to users.
A Detection and Identification Method Based on CNN for Laser Point Thermal Radiation

Aiming at the high demands of temperature and precision in the aspect of additive manufacturing, a method based on CNN was proposed for estimating measurement. The network was trained through the collected laser thermal radiation images for image recognition and isotherm estimation after modeling a CNN. The experimental conclusion verifies that the isotherm detection and temperature estimation of the laser point can be efficiently implemented in proposed method.
The Tween 80 Toxicity in Chicken Embryos and Effect on the Kinetics of Newcastle Disease Virus Replication

Methods: The toxicity of TW80 was investigated against chicken embryos at varying concentrations, and changes in the morphology and weights of the heart, liver, and spleen of 4-day old chicken embryos were analyzed. Also, the effect of non-toxic concentrations of TW80 was examined on the infectivity of NDV. The virus was titrated in the allantoic fluid, using a 50% embryo infectious dose (EID50). Results: At high concentrations of TW80, hemorrhage-induced mortality was observed in embryos at the early stages of incubation. The embryos’ viability was not affected at low TW80 concentrations, indicating that its toxicity to the chicken embryos was dose-dependent. The infectivity titer of NDV was increased in the presence of TW80 compared to those inoculated with NDV only.
Spectroelectrochemical Study of N-Substituted Phenoxazines as Electrochemical Labels of Biomolecules

The electrochemical conversion of N-substituted phenoxazines (NSP's) bearing a CH2CH2X substitute (where XOH, COOH, CH2NH2, CH2SO3H, CH2NHCOR) was investigated using cyclic voltammetry on a bulk gold electrode and a thin-layer spectroelectrochemical cell. The electrochemical oxidation of NSP's on the gold electrode was quasi-reversible and proceeded in a diffusion-controlled regime. The formal redox potential of NSP's covered the range from 0.39 to 0.45 V vs. SCE. The electrochemical oxidation of NSP's in the thin-layer spectroelectrochemical cell produced radical cations that showed absorbance at 385, 410 and 530 nm. Electrochemical conversion fitted the general voltammetric current-potential equation of a reversible wave, whereas electrolysis at constant potential showed a typical Cottrell behavior. Combining of NSP's with a biologically-relevant theophylline molecule did not change electrochemical and spectral properties of the phenoxazine core. Theophylline enlarged with NSP's demonstrated electrochemical and biocatalytic behavior similar to that of NSP's. The investigated NSP's possess electrochemical and spectral properties that are useful as biomolecular labels for electroanalysis.
Whistleblowing and fraud in digital era

This article discusses whistleblowing and fraud in the digital era in Indonesia using a literature study. Digital whistleblowing allows someone to reveal a number of information accompanied by photos/ videos through social media/ other online sources. This information is investigated further to find out if there is fraud after checking the truth, because there is a possibility that the information is inaccurate. The absence of a checking process and confirmation of its truth causes inaccurate information. The case that occurred in one of the SOEs in Indonesia initially emerged from a tweet on a Twitter account which was finally able to uncover the alleged fraud in terms of abuse of office. This is an example of the role of technology in digital whistleblowing and fraud. Digital technology can detect if there is a change in the softcopy file through the recorded digital footprint and then submit it to the authorities so that they can track the identification of previous users related to the possibility of document leakage. Artificial Neural Network (ANN) which is part of artificial intelligence (AI) technology can be used to detect fraud. ANN is a system that is able to process complex amounts of data through pattern recognition. There has been much discussion about the use of information technology in Indonesia, but the use of ANN has not been much discussed.
A Modified RR-ALOHA Protocol for Safety Message Broadcast in VANETs

MAC protocol design of VANETs is a real challenging task due to the high mobility and mobile hidden terminals (MHTs) issues. Slotted ALOHA based MAC protocols is regarded as one of the most promising solution in which hidden terminals issues are solved by broadcasting frame information (FI). However, when network topology changes rapidly, the vehicles using the same slot comes close to each other, merging collisions take place and a new round of slot reservation is required. This paper proposes a modified Reliable Reserved ALOHA (RR-ALOHA) protocol in which merging collisions are detected and an election process is employed to reduce collisions directly after one merging collision. Simulation results show that our proposal achieves better packet delivery ratio than RR-ALOHA in most scenarios.
Overview of the Wenchuan Fault Scientific Drilling Project in China

After the Wenchuan Ms 8.0 earthquake in May 2008, the Wenchuan Fault Scientific Drilling (WFSD) project was conducted in the Longmenshan fault zone, which is located in the eastern margin of the Tibetan Plateau. Six boreholes were drilled along the co-seismic surface ruptures of the Yingxiu–Beichuan and Guanxian–Anxian faults, which are the main faults in the Longmenshan fault zone. The WFSD project aimed to understand the mineral composition, geological structure, and tectonic settings of the fault zone at deep depths, and the rupture processes of the seismogenic faults during the Wenchuan earthquake. To achieve these aims, the WFSD project observed and analyzed the physical and chemical behaviors of the faults and their energy states. This paper introduces the research activities to explore the key scientific problems arising from the Wenchuan earthquake and important research results from the scientific drilling.
Multiple-instance Learning based on Bernoulli Mixture Model

Multiple-instance learning (MIL) is a form of weakly supervised learning. Its instances are arranged in groups (called bags), and labels are provided for the entire bag after training. The classic MIL method represents examples with pre-calculated features, and the classification process is also cumbersome. In this paper, we use neural networks to extract features, parameterize all transformations, and use Bernoulli mixture model to construct MIL models for baggage tags, using simpler network structures and more accurately solving these problems. Experiments show that our results can be competitive with the classical MIL algorithm on the MINST dataset.
Cold Start on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments

Cold start describes a commonly recognized challenge in online advertising platforms: With limited data, the machine learning system cannot accurately estimate the click-through rates (CTR) nor the conversion rates (CVR) of new ads and in turn cannot efficiently price these new ads or match them with platform users. Unsuccessful cold start of new ads will prompt advertisers to leave the platform and decrease the thickness of the ad marketplace. To address the cold start issue for online advertising platforms, we build a data-driven optimization model that captures the essential trade-off between short-term revenue and long-term market thickness of advertisement. Based on duality theory and bandit algorithms, we develop the Shadow Bidding with Learning (SBL) algorithm with a provable regret upper bound of O(T^{2/3}K^{1/3}(logT)^{1/3}d^{1/2}), where K is the number of ads and d is the effective dimension of the underlying machine learning oracle for predicting CTR and CVR. Furthermore, our proposed algorithm can be straightforwardly implemented in practice with minimal adjustments to a real online advertising system. To demonstrate the practicality of our cold start algorithm, we collaborate with a large-scale online video sharing platform to implement the algorithm online. In this context, the traditional single-sided experiment would result in substantially biased estimates. Therefore, we conduct a novel two-sided randomized field experiment and devise unbiased estimates to examine the effectiveness of the SBL algorithm. Our experimental results show that the proposed algorithm could substantially increase the cold start success rate by 61.62% while only compromising the short-term revenue by 0.717%, and consequently boost the total objective value by 0.147%. Our study bridges the gap between the bandit algorithm theory and the ads cold start practice, and highlights the significant value of well-designed cold start algorithms for online advertising platforms.
ANALYSIS OF GREEN TEA CONSTITUENTS BY HPLC-FTIR

HPLC-FTIR was investigated for the qualitative determination of catechins and methyl xanthines present in green tea extracts. A reversed phase separation of the green tea components was performed on a C-18 column equilibrated at 30°C using an isocratic mobile phase of acetonitrile: 0.1% formic acid (15 : 85), prior to introduction to the deposition interface linked to the FTIR detector. The solvent was evaporated at 130°C and spectra were collected every six seconds during the run. Six catechins, (+)-catechin, gallocatechin, (−)-epicatechin, (−)-epigallocatechin and (−)-epigallocatechin gallate, and (−)- epicatechin" gallate, as well as two methyl xanthines, caffeine and theobromine, were separated and positively identified in a sample of Chinese green tea. The catechins and methyl xanthines were matched to the respective standards by both retention time and the measured infrared spectrum.
TREATMENT OF SUPRACONDYLAR FEMUR FRACTURES BY LOCKED PLATE

Background: Locked plates have more advantages than conventional plates especially when dealing with complex supracondylar femur fractures or osteoporotic bone. Objective: To evaluate the supracondylar femur fractures treated by locked plates. Patients and Methods: During the period between July 2019 and July 2020, a prospective study was conducted on twenty patients having supracondylar femur fractures and managed by surgical fixation by "locked plates". They were followed up for 6 months. Results: The mean age of patients was 57 years, 70% of them were males and 30% were females. The cases were divided into two equal parts 50% were left sided and the other 50% were right sided. Knowing that seven patients have extra-articular fractures and thirteen patients has intra-articular fractures. The result of radiological union.8 was variable 50% of the patients achieved their radiological union in 3 months, 35% patients in 4 months and the remaining 10% achieved their radiological union in more than 6 months which was considered "delayed response", and only one patient did not achieve any type of union. These results reflected that 35% of patients were excellent, 25% good, 30% fair and only 10% had poor results. Conclusion: Locked plate is a safe procedure for supracondylar femur fractures with an excellent functional outcome and both early clinical and radiological union.
Effect of surface finishing protocols on color and translucency of zirconia reinforced lithium silicate glass-ceramic after thermo-mechanical aging and different staining solutions

Objectives: To investigate the color stability and translucency of zirconia-reinforced lithium silicate glass-ceramic (ZLS) prepared with different surface finishing procedures after thermo-mechanical aging and immersion in different beverages. Sixty samples were fabricated from heat-pressed and milled ZLS. All samples were finished and divided into three groups (n=20), according to the finishing methods; (CD) polished and fired, (CD) glazed and fired, and (CP) glazed and power fired. The specimens were subjected to aging using chewing simulator integrated with thermocycling protocol. Then, each group was divided into 4 equal subgroups (n = 5) according to exposure to immersion medium (coffee, tea, Coca-Cola and distilled water). Color and translucency parameter (TP) were measured according to CIELAB color space using spectrophotometer at baseline and after subjecting the specimens to aging and different staining solutions. Changes in color (ΔE) and TP (ΔTP) were calculated. The data was analyzed using the analysis of variance (ANOVA) and Tukey’s post hoc test (p < 0.05). Aging and staining significantly affected the baseline color and decreased TP of all specimens. Generally, regarding the tested groups, CD polished showed the highest ΔE and ΔTP (p <0.05). Coffee had the most significant effect on ΔE (p < 0.05). For each staining solution subgroup, polished CD had the highest ΔE. Conclusions: Aging and staining beverages had a significant effect on color stability and decreased translucency of all surface finished ZLS. Polished celtra duo showed the highest ΔE and ΔTP. Coffee had the most significant effect on the color change of all surface finished ZLS.
Recognition Method of Aerial Insulator Defects Based on Deep Learning

Aiming at the problem of low accuracy of aerial photography insulator defect identification during UAV patrol, a method of insulator defect identification and positioning based on improved YOLOv3 target detection model is proposed. This method uses asymmetric convolutional block (ACB) as the structural block of the convolutional neural network model in the training phase. On the basis of not increasing the inference time, the depth of neural network learning is improved. At the same time, the feature map combination of the pyramid multi-scale detection model is improved, and the distance index parameters of the K-means ++ algorithm are optimized, which is used for target prior frame clustering. The experimental results show that the improved method proposed in this paper improves the recognition accuracy of small defective targets. Without reducing the speed of inference, the average accuracy is increased from 84.5% to 91.9%, which meets the requirements of intelligent inspection of UAVs for overhead transmission lines.