Miracle-dz/UniFAR-FTUs huggingface dataset:
Production and enzymatic degradation of poly(ε-caprolactone)/graphene oxide composites

Poly(ε-caprolactone) (PCL) based composites containing different graphene oxide (GO) contents (0.1, 0.2 and 0.5 wt%) were produced by the solution mixing method followed by compression molding and enzymatically degraded in a pH 7.4 phosphate buffer solution containing Pseudomonas lipase at 37 °C. Morphological changes, molecular weight, calorimetric and mechanical properties were analyzed according to graphene oxide content. The study of tensile properties showed that the composites increased their Young’s modulus, while tensile strength and elongation at break decreased to significantly less than that of neat PCL. PCL composite crystallinity was evaluated by differential scanning calorimetry (DSC). It was found that incorporating GO can reduce nucleation activity as well as crystallization rates, from 67.6% for neat PCL to 50.6% for a composite with 0.5 wt% GO content. For enzymatic degradation, the weight loss data showed that incorporating GO into the PCL significantly altered enzymatic degradation. The presence of GO did not alter PCL’s hydrolysis mechanism, but did slow down composite enzymatic degradation in proportion to the percentage of filler content.
The impact of role modeling on the professional identity of pre-service teachers

Research shows that mentoring EFL pre-service teachers during the practicum element of teacher-training courses allow them to get experience and to develop, improve, and put into practice their teaching skills. This professional practice can impact the development of a positive or negative professional identity in teachers. Current literature, however, seems to focus on the shaping of teacher identity and learner identity, but there is little empirical research regarding the development and shaping of the identity of pre-service teachers. Pre-service teachers are the main actors of this practicum stage of teacher-training programs and, therefore, by working in collaboration and being supported by a mentor as a role model, they develop their professional identity. The present qualitative case study sought to explore the shaping and re-shaping of the professional identity of fifteen EFL pre-service teachers of a northern Mexican university and the impact of working with English teacher mentors as role models. Information gathered through the constant comparative method of data from the participants taken from their reflective journals, mentor-observations, and self-observations suggests that although working with a positive role model encourages the development of a stronger teacher identity and an improvement in their teaching practice, working with a bad role model can also have the same results.
Transformable Fingerprinting with Deep Metric Learning Approach for Indoor Localization

Within state-of-the-art indoor localization approaches, fingerprinting based method is more applicable and easier to integrate into most of today’s commodity Wi-Fi devices such as mobile phones and IOT devices which require low cost and computation burden. However, most fingerprinting systems intrinsically depend on fixed channel propagation environment and thus suffers huge reconstruction cost and high localization error when environment changes. In this paper, we propose a novel transformable fingerprinting localization method based on deep metric learning approaches. Our fingerprinting reconstruction method only requires some fresh measurements of CSI (Channel State Information) on a few reference points (RPs) with all the outdated CSI fingerprinting. Extensive system level simulations on Quadriga show that an average of 0.2m error reduction is achieved when our reconstruction method is applied.
In vitro digestion characteristics of various combinations of elephant grass hay, gliricidia hay or silage, soybean meal and corn meal in rations for sheep

This study examined fermentation rates and kinetics of sheep rations based on combinations of elephant grass hay, gliricidia (Gliricidia sepium) hay or silage, soybean meal and corn meal using in vitro techniques. Three rations were prepared, namely: Control (elephant grass hay + soybean meal + corn meal); gliricidia hay (elephant grass hay + soybean meal + corn meal + gliricidia hay); and gliricidia silage (elephant grass hay + soybean meal + corn meal + gliricidia silage). A fixed ratio of roughage:concentrate of 55:45 was maintained for all rations, which were isocaloric and designed to support sheep gains of 200 g/day. The gliricidia replaced 57.6% of the soybean meal in the rations containing gliricidia and 81.8% of the elephant grass hay. Fermentation rates and kinetics, in vitro dry matter digestibility (IVDMD) and degradability of the rations were evaluated. Rations containing gliricidia as both hay and silage had higher (P<0.05) IVDMD than the Control ration (67.8 and 66.2 vs. 59.8%). The degradability of the ration containing gliricidia hay was higher (P<0.05) than that of the gliricidia silage ration (57.8 vs. 50.5%), whereas the Control showed an intermediate value (54.4%). The ration containing gliricidia hay and the Control produced more gas in the first 24 h than the ration containing gliricidia silage, and the gliricidia hay ration showed the shortest colonization time. Peak gas production occurred for the ration with gliricidia silage later than for the other rations. The study showed that substituting soybean meal with preserved gliricidia can result in higher digestibility of sheep rations. Feeding studies with animals are now warranted to verify these laboratory findings.
A security aware workflow scheduling in hybrid cloud based on PSO algorithm

In real world, organization's requirements for high performance resources and high capacity storage devices encourage them to use resources in public clouds. While private cloud provides security and low cost for scheduling workflow, public clouds provide a higher scale, potentially exposed to the risk of data and computation breach, and need to pay the costs. Task scheduling, therefore, is one of the most important problems in cloud computing. In this paper, a new scheduling method is proposed for workflow applications in hybrid cloud considering security. Sensitivity of tasks has been considered in recent works; we, however, consider security requirement for data and security strength for resources. The proposed scheduling method is implemented in Particle Swarm linebreak Optimization (PSO) algorithm. Our proposed algorithm considers minimizing security distance, that is maximizing similarity of security between data and resources. It, meanwhile, follows time and budget constraints. Through analysis of experimental results,it is shown that the proposed algorithm has selected resources with the most security similarity while user constraints are satisfied.
Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model

Modern climate models pose an ever-increasing storage burden to computational facilities, and the upcoming generation of global simulations from the next Intergovernmental Panel on Climate Change will require a substantial share of the budget of research centers worldwide to be allocated just for this task. A statistical model can be used as a means to mitigate the storage burden by providing a stochastic approximation of the climate simulations. Indeed, if a suitably validated statistical model can be formulated to draw realizations whose spatio-temporal structure is similar to that of the original computer simulations, then the estimated parameters are effectively all the information that needs to be stored. In this work, we propose a new statistical model deﬁned via a stochastic partial diﬀerential equation (SPDE) on the sphere and in evolving time. The model is able to capture nonstationarities across latitudes, longitudes and land/ocean domains for more than 300 million data points, while also overcoming the fundamental limitations of current global statistical models available for compression. Once the model is trained, surrogate runs can be instantaneously generated on a laptop by storing just 20 Megabytes of parameters as opposed to more than 6 Gi-gabytes of the original ensemble.
A New Hyperspectral Compressed Sensing Method for Efficient Satellite Communications

Directly transmitting the huge amount of typical hyperspectral data acquired on satellite to the ground station is inefficient. This paper proposes a new compressed sensing strategy for hyperspectral imagery on spaceborne sensors systems. As the onboard computing/storage resources are limited, e.g., on CubeSat, the measurement strategy should be computationally very light. Furthermore, considering the limited communication bandwidth, a very low sampling rate is desired. Our encoder accounts for these requirements by separately recording the spatial details and the spectral information, both of which essentially require only simple averaging operators. Our measurement strategy naturally induces a reconstruction criterion that can be elegantly interpreted as a well-known fusion problem in satellite remote sensing, allowing the adoption of a convex optimization method for simple and fast decoding. Our method, termed spatial/spectral compressed encoder (SPACE), is experimentally evaluated on real hyperspectral data, showing superior efficacy in terms of both sampling rate and reconstruction accuracy.
AGE, ETHNICITY AND EMOTION RECOGNITION USING MTCNN

— Age, ethnicity, and emotion are quite important attributes of people that determine their interests. Knowledge of age and ethnicity has also been found to improve medical diagnosis as different diseases are more prevalent in different races and age groups. Most of the existing works are focused on identifying age, ethnicity, and emotion in images having a single person, and their faces well-lit and facing forward are nearly trivial, however, real applications need to consider different face angles and differences in lighting conditions. Work by Sneha Thakur [1] et. al. uses Artificial Neural Network to identify the age of a person but requires faces to front-facing. Other such works such as by S. Hma Salah, et. al. [2] and Xiaoguang Lu et. al. [3] identifies ethnicity using Haar Wavelet Features and Linear Discriminant Analysis but still have similar image restrictions. Also, these methods only focus on cases where only one person is present per image but realistically many people could be present in a single image. Identifying people’s interests and giving proper product recommendations is a hot field in consumer analytics. A proper identification model that works on realistic images can give a boost to this domain. In this paper, we are going to propose a method to identify age, ethnicity, and emotion in images having many people facing different ways and in different lighting conditions. Our approach firstly extracts faces using a pre-trained face localization model and then feeding them to separate neural network models, one each for detecting age, ethnicity, and emotion.
Trichoderma viride strains stimulating the growth and development of winter rapeseed (Brassica napus L.)Szczepy Trichoderma viride stymulujące wzrost i rozwój rzepaku ozimego (Brassica napus L.)

The aim of the study was to examine the potential of Trichoderma viride as a factor stimulating the growth of winter rapeseed (Brassica napus L.). It was proved that T. viride strains that differ in growth rate and represent various antagonism towards plant pathogens, stimulate root growth and inhibit the elongation of hypocotyls of winter rapeseed seedlings. It was found that the presence of T. viride in winter rapeseed promoted the intense development of lateral roots. Treating seeds of winter rapeseed with spores of T. viride 154 and T. viride DAR5 had a positive effect on the growth and development of plants in the pot experiment. It was demonstrated that both Trichoderma strains increased fresh and dry biomass. Higher than fourfold increase of the fresh biomass and three and a half increase of dry biomass of winter rapeseed were recorded in the presence of T. viride DAR5 in comparison to the control plants. Population density of bacteria was higher while the fungi lower in the rhizosphere of winter rapeseed plants treated with T. viride as compare to the control.
Gas Insulated Medium Voltage Power Distribution Networks

Medium voltage gas insulated transmission lines (GIL) are explored with the possibility of a continuous manufacturing process. The cables used SF6 replacement gases as the dielectric. The alternative to the traditional GIL design makes it feasible for the cables to be suitable for retrofitting within existing cable ducts with high ampacity GIL while addressing the environmental concerns with this technology. RF air-core dielectric cables with equivalent physical dimensions were identified as potential medium voltage GIL designs. Several model cables were fabricated using the RF cables and characterized for electrical insulation designs.
Pelatihan Analisis SWOT Dan BMC Pada Asosiasi UMKM Ponorogo

Berkembangnya bisnis dengan berbagai keunggulan membuat persaingan semakin ketat sehingga menuntut para pelaku bisnis untuk dapat membuat strategi khusus dalam menghadapi kompetisi bisnis. Suatu bisnis harus mampu bergerak maju dengan potensi yang dimilikinya dan meminimalisir kelemahannya hingga dapat terus berjalan dan mampu bertahan dalam persaingan yang terus berkembang. Permasalahan yang dialami oleh para pelaku usaha skala mikro di Kabupaten Ponorogo adalah lemahnya penyusunan strategi bisnis dan pengoptimalan kemampuan yang dimiliki, para pelaku UMKM merasa bingung untuk mendeskripsikan kekuatan, kelemahan, peluang, dan ancaman bisnis mereka yang perlu memerlukan strategi untuk menghadapinya. Dalam hal ini, sebanyak 75 pelaku usaha yang tergabung dalam asosiasi UMKM Ponorogo Jawa Timur. Tujuan dari pengabdian masyarakat ini adalah membantu para UMKM untuk dapat menyusun dan mengoptimalkan strategi pengembangan usahanya, sehingga perlu dianalisis dengan pendekatan SWOT. Harapan dari program pengabdian ini adalah para UMKM mampu mendeskripsikan dan menganalisis aspek internal dan eksternal agar mampu bertahan dalam persaingan bisnis. Adapun kegiatan yang akan dilakukan melalui 1) pelatihan analisis SWOT dan 2) pelatihan business model canvas (BMC).
Speed Semi-Sensorless Vector Control of Parallel Connected Induction Motor

System design of single-inverter driven dual-motor control often requires elimination of speed sensor to reduce cost, minimize volumetric packaging, and increase system reliability. Nonetheless, speed sensor usage is still desirable for high precision control applications. This paper aims to combine both methods in order to get the best of both worlds while decreasing the number of sensors used in doing so. Proposed method is named semisensorless and the feasibility of semi-sensorless method is proved for single-inverter dual-motor control through simulation.
Performance Analysis of Start-Step-Stop Codes and Gopala-Hemachandra Codes2 (GH-2(n)) Ascompression Algorithms on Text Files

Data compression was born as a solution to human needs for digital data. This research compares two compression algorithms, namely the Start-Step-Stop code algorithm and Gopala-Hemachandra codes 2 (GH-2 (n)) algorithm in the case of text file compression. compression ratio (CR), space savings (SS), bit rate and running time are calculated in the test as consideration to compare the advantages of both algorithms. Tests carried out using homogeneous strings, heterogeneous strings and artificial corpus. In homogeneous string compression, both algorithms have the same advantages because the value of CR, SS and bit rate are the same for each number of strings used. From the time of compression, Start-Step-Stop algorithm faster than the Gopala-Hemachandra algorithm. Testing of heterogeneous strings found that the Start-Step-Stop algorithm is superior to the Gopala-Hemachandra algorithm because it can save more storage space.
Identifikasi Risiko Ergonomi dengan Metode Nordic Body Map Terhadap Perawat Poli RS X

Penelitian ini bertujuan untuk mengetahui penyebab terjadinya resiko musculoskeletal disorders (MSDs) pada perawat poli di RS X. Hal ini dikarenakan aktivitas perawat poli banyak menggunakan manual handling dan melakukan gerakan berulang ( repetitive motion ) serta mengangkat atau memindahkan pasien dan mendorong kursi roda pasien pada saat memberikan pelayanan kesehatan sehingga kondisi ini dapat menyebabkan cidera otot pada perawat poli. Mengacu pada masalah tersebut dilakukan analisis terhadap seluruh perawat poli RS X. Penelitian ini merupakan jenis penelitian observasional dengan rancangan cross sectional, dengan jumlah sampel penelitian sebanyak 30 perawat. Metode penelitian yang digunakan merupakan metode analitik dengan menggunakan kuesioner Nordic Body Map (NBM). Hasil analisis NBM memberikan informasi perubahan distribusi tingkat keluhan musculos keletaldisorder s (MSDs). Berdasarkan hasil penelitian risiko ergonomi akibat gangguan musculoskeletal pada perawat poli dari 30 pertanyaan yang ada dikuesioner peneliti mengambil pada enam titik yang beresiko mengalami cidera dan dapat menggangu aktivitas perawat yaitu tengkuk dengan skore 1(56%), 2 (37%) dan 3(7%), leher dengan skore 1 (67%), 2 (27%), 3 (8%), bahu kiri dan kanan dengan skore 1 (67%), 2 (30%) dan 3 (3%), punggung dengan skore 1 (54%), 2 (10%), 3 (33%), 4 (3%) dan pinggang dengan skore ( 1 (47%), 2 (23%), 3 (27%), 4 (3%), serta pangggul dengan skore 1 (77%), 2 (13%), 3 (7%), 4 (3%), yang artinya tidak sakit (tidak merasakan gangguan pada bagian tertentu) dengan skor 1, agak sakit (merasakan sedikit gangguan atau rasa nyeri pada bagian tertentu) dengan skor 2, sakit (merasakan ketidaknyamanan pada bagian tubuh tertentu) dengan skor 3, dan sangat sakit (merasakan ketidaknyamanan pada bagian tertentu dengan skala yang tinggi) dengan skor 4.
Isolation and identification new bacterial strains isolated from different sources of Al-Rafidiyah oil field in Iraq

Abstract In this study, twenty two pure bacterial strains isolates were isolated that can use crude oil as a carbon source. They occured at different frequency ratios for each of oil-contaminated soil samples, the produced water, and the crude oil of the Al-Rafidiyah oil field (Basrah south of Iraq). Bacterial isolates were characterized and identified based on phenotypic properties and molecular techniques. Fourteen strains, belonging to three genera of Bacillus sp. , Lysinibacillus sp. and Enterobacter sp. , were isolated from oil-contaminated soil and nine strains, belonging to Bacillus sp. , Lysinibacillus sp. , Enterobacter sp. and Brevibacillus sp. , were isolated from produced water. Five strains, belonging to two genera, Bacillus sp. and Pseudomonas sp. , were isolated from crude oil. New twelve strains were recorded as new strains and deposited in GenBank include Bacillus cereus strain ASWISA1, Bacillus thuringiensis strain ASWISA2, Bacillus sonorensis strain ASWISA3, Bacillus cereus strain ASWISA4, Bacillus subtilis strain ASWISA5, Pseudomonas stutzeri strain ASWISA6, Bacillus subtilis strain ASWISA7, Bacillus cereus strain ASWISA8, Bacillus paramycoides strain ASWISA9, Bacillus paramycoides strain ASWISA10, Brevibacillus brevis strain ASWISA11, and Enterobacter cloacae strain ASWISA12.
Cascaded Multilevel Converter as a Voltage Compensator

The paper presents a laboratory prototype of the three-phase voltage compensator with an energy storage based on supercapacitors. The system described is able to protect an isolated grid, e.g. in industry, against short voltage interruptions, dips and sags. An idea of a control method as well as a digital controller has been discussed. Experimental results are also included.
Dispersed-flow film boiling in rod-bundle geometry: steady-state heat-transfer data and correlation comparisons. [PWR; BWR]

Assessment of six film boiling correlations and one single-phase vapor correlation has been made using data from 22 steady state upflow rod bundle tests (series 3.07.9). Bundle fluid conditions were calculated using energy and mass conservation considerations. Results of the steady state film boiling tests support the conclusions reached in the analysis of prior transient tests 3.03. 6AR, 3.06. 6B, and 3.08. 6C. Comparisons between experimentally determined and correlation-predicted heat transfer coefficients, are presented.
Comparison of Results of Economic Load Dispatch Using Various Meta-Heuristic Techniques

Received: 15 November 2019 Accepted: 28 February 2020 The power sector of India is in a huge catastrophe in satisfying the energy requirement of the public due to incessant exhaustion of fossil fuels. The nonstop exhaustion of fossil fuels, rising power needs and increasing production cost of power requires economic operation at the generation side and economic utilization at the consumer side. Economic dispatch is the process of determining the optimal power output from ‘n’ number of generators to meet the demand at low cost subject to certain constraints. Economic dispatch ensures the optimal generation of power at low cost from thermal power plants. The mathematical formulation of economic dispatch problems is usually done by the piecewise quadratic fitness function. This article compares the results generated from various techniques such as Lambda Iteration (LI) method, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Quantum Particle Swarm Optimization (QPSO) and Shuffled Frog Leaping Approach (SFLA). LI method is a traditional method of solving economic load dispatch which works on the concept of equal incremental cost (λ). GA works on Darwin’s theory of evolution, where the population of individual solutions is modified repeatedly to obtain the optimal solution in the population. PSO is derived from the concept of swarm intelligence, where the best solution is found using the values of personal best and global best in the population. QPSO is basically derived from the PSO. SLFA is obtained from the concept of foodfrogs used to find an accurate solution to our power system problem. In this paper, the best fuel cost and execution time was found from QPSO, SFLA compared with LI, GA and PSO methods. These approaches are applied for three and thirteen generator system and the convergence characteristics, heftiness was explored through comparisons from different approaches discussed earlier. The results are hopeful and it suggests that shuffled frog leaping algorithm is very effectual in terms of both the minimized fuel cost obtained and the execution time.