Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUASI KEBERHASILAN REKLAMASI DISPOSAL SELATAN DI PT. BARA ENERGI LESTARI

PT. Bara Energi Lestari merupakan salah satu perusahaan tambang batubara di Provinsi Aceh. Perusahaan tersebut telah melakukan aktivitas penambangan sejak tahun 2012.Perusahaan tersebut juga telah melakukan reklamasi yang disesuaikandengan ketentuan dan perundang–undangan yang berlaku. Penelitian ini bertujuan untuk mengevaluasi kegiatan reklamasi dan mengetahui penilaian hasil akhir berupa persentase keberhasilan reklamasi pada disposal selatan (Menurut Kepmen ESDM No 1827K/30/MEM Tahun 2018). Dari hasil perbandingan data antara rencana dan realisasi reklamasi disposal selatan diketahui bahwa rencana penatagunaan lahan disposal selatan seluas 2 hektar namun realisasinya tercapai 0,97 hektar dan rencana penebaran tanah pucuk sebesar 2.000 m3 terealisasi sebesar 1.455 m3. Rencana revegetasi yang telah dibuat sebesar 500 pohon tetapi realisasi yang ditanam sekitar 260 pohon. Penyebab tidak terealisasi sesuai dengan rencana karena adanya perubahan luasan area disposal tersebut. Evaluasi dilakukan dengan cara membandingkan data rencana dan realisasi yang telah diperoleh dilapangan. Hasil penelitian menunjukan persentase keberhasilan reklamasi adalah sebesar 75,3% dan masuk dalam kategori sedang dapat diterima tetapi dengan catatan harus dilakukan perbaikan hingga mencapai nilai > 80%.
INFLUENCE OF SECONDARY SCHOOL STUDENTS’ SELF-ESTEEM ON THEIR PERFORMANCE IN MATHEMATICS IN ENUGU STATE

This study aimed at determining the influence of secondary school students’ self-esteem on their performance in mathematics in Enugu State The research design adopted in the conduct of this investigation was Expost-Facto or Causal Comparative Research Design. Five research questions and four hypotheses guided the study. The area covered in this study was Enugu state of Nigeria consisting of six education zones. A sample of 1526 secondary school students was used in the study. The following instruments were used for data collection: Students’ Self-esteem Scale (SSES) and Students’ Mathematics Performance Form (SMPF). These instruments were developed by the researcher and validated by three research experts. The following reliability coefficients were obtained for the instruments; . 82 for SSES and . 74 for SMPF obtained using Cronbach’s Alpha method. Research question 1 was answered using simple percentage while research questions 2, 3 and 4 were answered using mean and standard deviation. Hypotheses were tested using z-test statistic. Major findings of the study revealed that 31.8% of the students had implicit high self-esteem, 22.4% had explicit high self-esteem, 27.2% had implicit low self-esteem while 18.6% had explicit low self-esteem. It was recommended among other things that Parents and teachers should encourage secondary school students to adopt high self-esteem so as to improve their performance in mathematics.
Boolean Searchable Symmetric Encryption With Filters on Trusted Hardware

The prevalence and availability of cloud infrastructures has made them the de facto solution for storing and archiving data, both for organizations and individual users. Nonetheless, the cloud’s wide spread adoption is still hindered by dependability and security concerns, particularly in applications with large data collections where efficient search and retrieval services are also major requirements. This leads to an increased tension between security, efficiency, and search expressiveness. In this article we tackle this tension by proposing BISEN, a new provably-secure boolean searchable symmetric encryption scheme that improves these three complementary dimensions by exploring the design space of isolation guarantees offered by novel commodity hardware such as Intel SGX, abstracted as Isolated Execution Environments (IEEs). BISEN is the first scheme to support multiple users and enable highly expressive and arbitrarily complex boolean queries, with minimal information leakage regarding performed queries and accessed data, and verifiability regarding fully malicious adversaries. Furthermore, BISEN extends the traditional SSE model to support filter functions on search results based on generic metadata created by the users. Experimental validation and comparison with the state of art shows that BISEN provides better performance with enriched search semantics and security properties.
Representing Complex Shapes with Conceptual Spaces

Shape representations play a central role in our interaction with the world [1]. Nevertheless, we have only a vague understanding of how shape knowledge is represented. In this paper, we use the framework of conceptual spaces [2] as a modeling tool for representing complex shapes. In this framework, each object is represented as a point in the conceptual space whose coordinates represent the object specific values of the employed quality dimensions. The geometric distance between two points represents the similarity between two objects (the smaller the distance, the more similar the objects). Higher-order concepts can be identified as convex, non-overlapping regions. Our study aims at discovering structural characteristics of a shape space that can explain human perception and categorizations of complex shapes. This can contribute to new insights and a deeper understanding of perceptual processes but also allows for constructive uses, e.g. in the context of cognitive AI. Based on human similarity ratings for pictures of common objects, shape spaces of varying dimensionality were constructed and validated by considering how well the similarities are reflected in the distances. Moreover, the conceptual regions for example categories were analyzed. In a second analysis step, we tested whether primitive shape features are detectable as quality dimensions in the shape spaces. The analysis scripts used in our study are available at https://github.com/lbechberger/LearningPsychologicalSpaces.
Discriminative Affinity Based Effective Face Detection

— Automatic face naming is playing many important roles in many real world applications. From a collection of images, the aim of this method to give correct name to each face in the images. We introduce two new methods to implement this technique. The goal of this method to give correct name to each face. We obtain our objective of acquiring two discriminative affinity matrices from these weakly labelled images. In this paper, we contemplated a way called low rank representation that successfully concerned with weakly supervised information to determine a low rank reconstruction coefficient matrix. It will explore multiple subspace structures of the data. We assert the correlative reconstruction coefficients interrelated to regenerate a face to the situation. A discriminative affinity matrix can be gained from the implied reconstruction coefficient matrix. Besides, we provide a distance metric learning method termed Principle Component Analysis by using weakly supervised information to get a discriminating distance metric. Consequently, one more discriminating affinity matrix can be acquired based on a distance metric of data by virtue of the similarity matrix. This similarity matrix is also called kernel matrix. This kernel matrix is the second affinity matrix. After
Separation of phosphoric acid sludge: effect of flocculation on settling and P2O5 recovery rates

Phosphoric acid sludge is one of the prominent problems in the phosphate industry. Its formation is co-occurred by considerable losses of P2O5 that affect the process performance. Management and valorization of this waste is a key issue. This work aimed to deal with this industrial concern by studying the influence of the flocculation on the sludge sedimentation and thus the P2O5 recovery rate. The flocculation tests were conducted in the presence of various types of anionic polymers. The effect of dosage, molecular weight, and type of flocculant were examined. The results indicated that all polymers showed settling performance improvement. And, the flocculant with the highest molecular weight (F1), showed the best settling performance with a pace of 3.3 cm/min and the lowest turbidity value of 40.4 NTU using a dosage of 5 ppm. Due to its high molecular weight, this polymer carries a polyelectrolyte bridging mechanism, which allows the absorbed polymer to move further away from the surface of the particle and then increases the particle radius, the number of collisions, and thus the particle size. However, for the P2O5 recovery rate, the sulfonic polymer (F5) was the best performer allowing recovery of 78.8% of the total mass of the sludge. F5 is weakly amphoteric. Polymers containing sulfonic acid groups are known to be inherently powerful than the carboxylic acid groups as they are stable due to their high energy barrier. According to the results, the flocculation increases the recovery of P2O5, which represents a profit of more than 30 kg of clarified phosphoric acid per 1 tone of sludge.
Bayesian Inference in Numerical Cognition: A Tutorial Using JASP

Researchers in numerical cognition rely on hypothesis testing and parameter estimation to evaluate the evidential value of data. Though there has been increased interest in Bayesian statistics as an alternative to the classical, frequentist approach to hypothesis testing, many researchers remain hesitant to change their methods of inference. In this tutorial, we provide a concise introduction to Bayesian hypothesis testing and parameter estimation in the context of numerical cognition. Here, we focus on three examples of Bayesian inference: the t-test, linear regression, and analysis of variance. Using the free software package JASP, we provide the reader with a basic understanding of how Bayesian inference works “under the hood” as well as instructions detailing how to perform and interpret each Bayesian analysis.
Probabilistic Face Tracking From Location and Facial Identity Probabilistic Face Tracking From Location and Facial Identity Information Information

In recent times, the advancement in object detection has induced new video processing applications. This paper explores the development of the face tracking system with a probabilistic approach where face similarities and relative positions are considered. The potential applications and further enhancement includes detecting the human faces along with the behavior analysis and video surveillance at the chaotic situation such as objects overlapping. The system includes three stages - face detection and face alignment using MTCNN, face recognition using FaceNet, and face tracking after Gibbs sampling. I evaluate the full-temporal method and three other approaches - baseline, positional, and instantaneous methods.
Nuclear Friction Determined with He-ion Induced Fission Excitation Functions

The stochastic approach to fission is employed to analyze measured fission excitation functions in the reactions He+Au, He+Pb and He+W. A pre-saddle friction strength of about 4 × 10 s−1 is extracted by comparing theoretical calculations with experimental data. The important role of level-density parameters in accurately determining the strength of nuclear friction is revealed. It is further shown that high-energy conditions can enhance the sensitivity of fission cross sections to nuclear dissipation.
Causal Relationship between Renewable Energy Consumption and Unemployment in Nigeria: Evidence from Toda and Yamamoto Causality Technique

The paper examines the causal association among renewable energy consumption and unemployment in Nigeria for the sample of 1991-2015 periods via the technique of Toda and Yamamoto causality. The outcome of the long-run causality specifies that bidirectional causality exist between renewable energy consumption and unemployment; foreign direct investment and renewable energy consumption; investments and renewable energy consumption; credit to private sector and renewable energy consumption; foreign direct investments and investments; credit to private sector and investments with unidirectional causality among investments and unemployment; credit to private sector and unemployment. This suggests that higher consumption of energy from renewable sources will go a long way in providing the long-lasting solution to the problems of unemployment in the country. It is therefore recommended that Nigerian government should put more efforts on increasing production and consumption of energy from renewable source as it has the tendency of decreasing the rate of unemployment in the long-run and barriers in the form of higher cost of acquisition and taxes on the production and consumption of energy from the renewable sources should be completely eliminated in order to increase the rate of investments in renewable energy technologies and subsequently create employments.
A TOTAL SURVEY ON LEAVES OF MELALEUCA ALTERNIFOLIA (TEA TREE OIL)

Tea tree oil, a basic oil extricated from the leaves of Melaleuca alternifolia by steam refining, supercritical liquid extraction, soxhlet extraction followed by progressive extraction and small scale stove extraction forms by various solvents has discovered a wide scope of antimicrobial exercises as antiviral, antifungal, antibacterial, against protozoval because of the nearness of terpinen–4-ol as the significant constituent. TTO was contain flavonoids, glycosides, quinolines, starches and so forth. TTO is considered and the rate yield of tea tree oil extricated is resolved and the piece of tea tree absolutes (terpinen-4-ol, 1,8-cineole, γ-terpinene and α-terpineol) separated was contrasted and standard tea tree oil just as with ISO 4730 TTO has discovered the mitigating and hostile to skin break out vulgaris, Psoriasis, free radical rummaging exercises. Tea tree oil is normal items, so it is non-harmful, effectively available, biodegradable, and biocompatible. The few points of interest of tea tree oil make it one of the gainful item having helpful impacts. The current audit article depends on the use of tea tree oil, extraction procedure of tea tree oil, constituents, security contemplations and so on.
NOTAGAN: Flows for the data manifold

We introduce no rmalizing ﬂows for simul t aneous m a nifold learnin g a nd density estimatio n (NOTAGAN or even shorter M -ﬂows). This new class of generative models simultaneously learns the data manifold as well as a tractable probability density on that manifold. Combining aspects of normalizing ﬂows, GANs, autoen-coders, and energy-based models, M -ﬂows have the potential to represent datasets with a manifold structure more faithfully.
A Distributed In-situ Analysis Method for Large-scale Scientific Data

The size of scientific data has been increasing rapidly in a variety of domains. The scientific data is represented as array data and is managed by a diverse scientific data format such as HDF, NetCDF and MDSplus. Even though the existing array DBMSs such as SciDB and RasDaMan manage array data, there are challenges in loading data into the array DBMS. The data loading process of the distributed array DBMS incurs the significant overheads since the inefficient four transformation steps of file format incur the expensive disk I/O. In this paper, we propose a distributed in-situ analysis method DISCAN that can process a scientific query efficiently and directly over raw scientific array data in distributed array DBMSs. Our approach eliminates unnecessary write operations during the data loading and processes only the data required in query. Our in-situ processing consists of two phases, HDF merger and DISCAN. HDF merger is responsible for managing raw scientific data in order to distribute the scientific data to nodes. DISCAN is composed of Local Map that transforms the raw scientific data into the internal data representation of DBMS and Global Map that replaces the transformed data according to a partitioning policy of the DBMS. DISCAN reads only the data required during query processing using the well-defined scientific data format libraries. We evaluate the performance of DISCAN across real-world scientific dataset. Experimental results show that DISCAN outperforms the processing query after data loading of the distributed array DBMS by up to more than 60 times.
Effective syngas cleanup and reforming using Ni/γ-Al2O3 catalyst

This work reports the performance of a selective Ni-based catalyst in tar removal and syngas reforming. Benzene was used as the model tar to optimize catalytic reaction conditions. Parameters investigated were reaction temperature (700oC to 900oC), gas residence time (0.1 s to 1.1 s), and catalyst loadings (3% to 21% of the weight of γ-Al2O3 support). On the basis of the benzene test, a reaction temperature of 800oC, catalyst loading of 15wt%, and residence time of 0.3 s were chosen as optimum reaction conditions. Testing of these conditions showed that the Ni/γ-Al2O3 catalyst removed more than 99% of tars in syngas in the downdraft gasifier and 98% in the updraft gasifier. Concentrations of combustible compounds of syngas also increased significantly. H2 concentration increased from 19.96% to 51.78% in the downdraft gasifier and from 23.97% to 37.39% in the updraft gasifier; CO concentration increased from 16.26% to 21.10% in the downdraft gasifier and from 22.95% to 25.64% in the updraft gasifier. The results indicate that the Ni/γ-Al2O3 catalyst and associated catalytic conditions could not only effectively eliminate tars but also improve the quality of syngas in biomass gasification.
Relationship between stress and psychological hardiness among secondary school students in Chandigarh

This study investigates the relationship between stress and psychological hardiness among school students. For this study a sample of 100 students from 9 grade was selected. The data was collected by using Standard Stress Scale by Gross and Seebab (2014) and Psychological Hardiness Scale by Novack (1990). Pearson product moment correlation was employed for analysis and the stress and psychological hardiness were found to be statistically significantly correlated at 0.05 level of
EFFECT OF COMPETENCE AND WORK ENVIRONMENT ON THE PERFORMANCE OF COUNSELORS WITH WORK SATISFACTION AS INTERVENING

Employee performance is a decisive indicator of the success of an organization. Organizations must be able to create high employee performance to be able to maintain survival and achieve sustainable competitive advantage. This study aims to examine and analyze the effect of competence and work environment on job satisfaction and the performance of family planning counselors. The study was conducted at The National Population and Family Planning Agency (BKKBN) Representative in the Province of Bali with a population of KB counselors in all regencies/cities in Bali totaling 278 people, then the sample size was calculated using the Slovin technique and obtained a sample of 164 people who were taken using the Proportionate Stratified Random Sampling method. All data obtained from the distribution of the questionnaire is feasible to use and then analyzed using a structural equation model based on variance through the Partial Least Square (PLS) program. The results showed that competent family planning counselors and a comfortable and conducive work environment were able to increase job satisfaction of family planning counselors in the province of Bali so that this condition could improve the achievement of their performance. Job satisfaction acts as a mediator on the indirect effect of competence and works environment on the performance of KB counselors. The work environment has the greatest influence on the performance of family planning counselors in the province of Bali, especially in the aspect of relations with their superiors.
Direct and Inverse Analysis of Human Spine for Helicopter Comfort Assessment

The vibrational response of the human body is directly related to unpleasant sensations (discomfort), degradation of efficiency in performing a task and may ultimately lead to health related issues [1, 2, 3]. Thus, proper modeling of the human body response is of critical importance when evaluating both vehicle comfort performance [4] and potential adverse involuntary feedthrough of command inputs [5], especially when, as is the case in rotorcraft, they exhibit an intrinsic propensity to develop a high level of vibrations. Parameters of the vibratory response of the human body depend on its mechanical properties and geometry, which in turn may depend on anthropometric variables like age, gender, weight and stature. Therefore, the variance of the parameters influencing the response has to be taken into account in the design stage, in order to ensure an adequate level of robustness. Multibody modeling is a viable tool in this context, since it can be viewed as first-principles approach. Starting from the anthropometric parameters, through the geometrical and structural modeling, it supports the extraction of the relevant synthetic parameters evaluating the fitness of a particular design choice to the goal of achieving a greater pilot (or passenger) comfort and/or of reducing the insurgence of possible triggers of adverse interaction phenomena.
Average Running Speeds of Ac h

The effects of different temperatures on Acheta domesticus speeds, based on metabolic changes, were determined to discover the biological implications on their survival during natural temperature fluctuations. As a result, the effects of both short term and long term climate change on the physical performance of house crickets can be assessed. Two separate treatment trials were conducted with hot and cold baths to attain three arenas of 20°C, 30°C and room temperature (22°C and 24°C). 10 replicates were placed into each arena and the average speeds of the crickets (cm/s) were found through tracing and timing. The crickets from Trial 1 had a larger mean speed difference and decreasing speeds with increasing temperatures, whereas the Trial 2 crickets had increasing speeds with increasing temperatures and a smaller difference in means. In both trials, the treatments resulted in sufficiently different speeds; however, the results were not statistically significant which indicates the null hypothesis, that states there is no difference between cricket speeds due to varying temperatures, cannot be rejected. Younger crickets in Trial 1 were more affected by temperature fluctuations and had speeds negatively correlated with temperature, whereas the older crickets in Trial 2 were less affected by temperature fluctuations but had speeds positively correlated with temperature. This suggests that younger crickets are less likely to survive in their natural habitats when temperatures slightly increase, while older crickets are more likely to survive when temperatures change; however, no definite conclusions can be made due to the experiment’s statistical insignificance.
Soft Switching Bridgeless Rectifier for NEV Battery Charger

The high efficiency soft switching bridgeless PFC rectifier with Continuous Conduction Mode (CCM) is proposed for Neighborhood Electric Vehicle (NEV). For each switching period the proposed converter operates both in Pulse Width Modulation (PWM) mode and resonant mode and hence termed as Hybrid Resonant PWM. Reduced Electromagnetic Interference (EMI), switching losses and voltage stress across semiconductor devices are realized in this converter by implementing soft-switching technique. The closed loop control of this converter is implemented using Externally Resettable Integrator (ERI) Control technique. Duty Ratio control of the switch in a single switching period is implemented through this nonlinear control technique. This technique rejects input voltage perturbations in one switching cycle and follows the control reference instantaneously. A 125W converter prototype is designed and simulated using PSIM software. The simulated results are realized with experimental results. The hardware results infer that input power factor is closer to unity and output voltage is regulated to 110V with an efficiency of 94%.