Miracle-dz/UniFAR-FTUs huggingface dataset:
STRATEGI PEMBELAJARAN DAN KEMAMPUAN BERPIKIR KREATIF TERHADAP HASIL BELAJAR FISIKA

Abstrak: Penelitian ini bertujuan untuk mengetahui: hasil belajar fisika siswa yang diajar dengan strategi Problem Based Learning lebih tinggi daripada siswa yang diajar dengan strategi pembelajaran ekspositori, hasil belajar fisika siswa yang memiliki kemampuan berpikir kreatif tinggi lebih tinggi daripada siswa yang memiliki kemampuan berpikir kreatif rendah, dan interaksi antara strategi pembelajaran dan kemampuan berpikir kreatif terhadap hasil belajar siswa. Metode penelitian adalah metode kuasi eksperimen dengan sampel penelitian sebanyak 2 kelas yang ditentukan secara cluster random sampling terdiri dari kelas eksperimen yang diajarkan strategi problem based learning dan kelas kontrol yang diajarkan dengan strategi pembelajaran ekspositori. Hasil penelitian menunjukkan: hasil belajar fisika siswa yang diajarkan dengan strategi pembelajaran problem based learning lebih tinggi dibandingkan hasil belajar fisika siswa yang diajarkan dengan strategi pembelajaran ekspositori, hasil belajar fisika siswa yang memiliki kemampuan berpikir kreatif tinggi lebih tinggi dibandingkan hasil belajar fisika siswa yang memiliki kemampuan berpikir kreatif rendah, dan tidak terdapat interaksi antara strategi pembelajaran dan kemampuan berpikir kreatif terhadap hasil belajar siswa. Kata Kunci: strategi pembelajaran,kemampuan berpikir kreatif, dan hasil belajar fisika Abstract: This research was aimed to: the study of physics students who taught the strategy of Problem Based Learning is higher than students taught with the expository teaching strategies, the study physics students which has a high ability to think creatively higher than students who have a low ability to think creatively, and interaction between learning strategies and creative thinking skills of student learning outcomes. Method is a method of quasi-experimental study with a sample of 2-class research that determined cluster random sampling experiment consists of classes taught problem based learning strategies and control classes are taught with the expository teaching strategies. The results showed: the study of physics student taught learning strategies by problem based learning higher than the study of physics students taught with the expository learning strategies, the study of physics student which has the ability to think creatively high higher than the study of physics students who have the ability to think creatively low, and there is no interaction between learning strategies and creative thinking skills to the study of physics student. Keywords: instructional strategy and creative thinking ability to the study of physics
Location of lightning discharges from a single station

A new computer-based ELF/VLF system for locating lightning discharges has been developed. Both the arrival azimuths of atmospherics and the distances to their sources are estimated. The direction-finding technique uses the Poynting vector calculated directly in the time domain over the full band pass of the receiver. Both the distance of the lightning discharge and the ionospheric height can be estimated from the phase spectrum of the first-order mode of the Earth-ionosphere waveguide. The latter is approximated with a model function having the distance and the height as the main parameters. Two ways were applied to obtain the spectrum of the first mode: the radial component of the horizontal magnetic field was used, which contains only a minor component of the zeroth mode, or the mode decomposition problem was solved. The system has been used to locate lightning sources in Africa and Asia from a scientific vessel during its voyage in the Atlantic and Indian Oceans in 1991. The overall uncertainties are estimated to be a few degrees for the source bearing, 5% for distance, and 1% for the effective height of the ionosphere; yet these estimates need an additional confirmation by comparison with independent and more exact techniques.
Scytalidium parasiticum sp. nov., a New Species Parasitizing on Ganoderma boninense Isolated from Oil Palm in Peninsular Malaysia

Abstract A mycoparasite, Scytalidium parasiticum sp. nov., isolated from the basidiomata of Ganoderma boninense causing basal stem rot of oil palm in Johor, Malaysia, is described and illustrated. It is distinct from other Scytalidium species in having smaller asci and ascospores (teleomorphic stage), longer arthroconidia (anamorphic stage), hyaline to yellowish chlamydospores, and producing a fluorescent pigment. The phylogenetic position of S. parasiticum was determined by sequence analyses of the internal transcribed spacers and the small-subunit ribosomal RNA gene regions. A key to identify Scytalidium species with teleomorphic stage is provided.
The relationship between small-scale nursing home care for people with dementia and staff's perceived job characteristics

ABSTRACT Background: Over the past few decades, new care models that are more resident-oriented and directed toward small-scale and homelike environments have been developed worldwide. The impact of these care models on the quality of life of residents has been studied. However, little research has been conducted to gain insight into how these new care models influence healthcare staff's work environment. This study focuses on the consequences of small-scale care on staff's perceived job characteristics. Methods: Data were derived from a sample of 136 Dutch living arrangements providing nursing home care for people with dementia (2008/2009), in which 1,327 residents and 1,147 staff participated. The relationship between two indicators of small-scale care (small-scale care characteristics and total number of residents with dementia in facility) and staff's job characteristics (job demands, decision authority, coworker and supervisor support) were studied with multilevel regression analyses. All analyses were adjusted for staff, resident, and living arrangement characteristics when needed. Results: Both indicators of small-scale care were associated with job demands; staff perceived less time and work pressure as more characteristics of small-scale care were integrated and the facility had less residents with dementia in total. Only one indicator was associated with decision authority. As more characteristics of small-scale care were integrated, staff's perceived decision authority was higher. No relationship was found with coworker and supervisor social support. Conclusions: Knowing that job demands and decision authority are important predictors of job appraisal and well-being, our findings show that small-scale care could have a beneficial impact on healthcare staff's work environment.
Industrial Application of Evolvable Block-Based Neural Network to Hypoglycemia Monitoring System

Insulin-dependent diabetes mellitus is classified as type 1 diabetes mellitus (T1DM), and it can be further classified as immune-mediated or idiopathic. It is dangerous and can result in unconsciousness, seizures, and even sudden death. The most common physiological parameters to be effected from a hypoglycemic reaction are heart rate and corrected QT interval of the electrocardiogram (ECG) signal. Considering the correlation between physiological parameters of an ECG signal and the status of hypoglycemia, a noninvasive hypoglycemia monitoring system is tested and introduced by proposing a hybrid particle-swarm-optimization-based block-based neural network (BBNN) algorithm. The proposed BBNN model offers advantages over conventional neural networks by performing the simultaneous optimization of both structure and weights. The hybrid particle swarm optimization with wavelet mutation searches for optimized structure and network parameters through particle information over a search space. All the actual data sets of 15 T1DM children were collected at the Department of Health, Government of Western Australia. Several experiments showed that the proposed BBNN performed well in terms of better sensitivity and specificity.
Improving Twitter Named Entity Recognition using Word Representations

This paper describes our system used in the ACL 2015 Workshop on Noisy Usergenerated Text Shared Task for Named Entity Recognition (NER) in Twitter. Our system uses Conditional Random Fields to train two separate classifiers for the two evaluations: predicting 10 fine-grained types, and segmenting named entities. We focus our efforts on generating word representations from large amount of unlabeled newswire data and tweets. Our experiment results show that cluster features derived from word representations significantly improve Twitter NER performances. Our system is ranked 2nd for both evaluations.
Color impulse noise removal by modified alpha trimmed median mean filter for FVIN

In this reserch article presents a novel method for the enhancement of color images, when images are corrupted by color impulse noise. According to planned algorithm the color noisy pixels are substituted by novel trimmed mean median value color images. Firstly, the color image (RGB) is sub-split up into three sections, i.e. Red (R), Green (G) and Blue (B) color pixel matrices, then all three matrices are checked for noisy pixels. In our proposed work divided in two parts. In first part is detection of noisy pixels and the second part is removal of noisy with details preservation like edges. When pixels values, are present in between 0's and 255's, it implies that they pixel are noise free pixels. Apply this scenario in whole color image pixels for the detection of color impulse noise. Second stage is the removal of noise. In this stage whole image is divided into a small 3×3 particular window and apply Unsymmetric condition in a small 3×3 window with the combination of mean median filter. Different color images are tested via proposed method. The experimental result shows better Peak Signal to Noise Ratio (PSNR) value, Mean Square Error (MSE), Root Mean Square Error (RMSE) and with better visual and human sensing. This method yields a better output for color impulse noise as compare to the other filters.
Throughput optimal task allocation under thermal constraints for multi-core processors

It is known that temperature gradients and thermal hotspots affect the reliability of microprocessors. Temperature is also an important constraint when maximizing the performance of processors. Although DVFS and DFS can be used to extract higher performance from temperature and power constrained single core processors, the full potential of multi-core performance cannot be exploited without the use of thread migration or task-to-core allocation schemes. In this paper, we formulate the problem of throughput-optimal task allocation on thermally constrained multi-core processors, and present a novel solution that includes optimal speed throttling. We show that the algorithms are implementable in real time and can be implemented in operating system's dynamic scheduling policy. The method presented here can result in a significant improvement in throughput over existing methods (5X over a naive scheme).
Image Registration for Super-Resolution using SIFT Key-points

Super-Resolution algorithms reconstruct a high resolution image from a set of low resolution images of a scene. An accurate image registration is a fundamental stage in all Super-Resolution methods. In this paper a new restriction criteria for matching SIFT key points, for registration under the condition of Super-Resolution problems is proposed. This is based on the assumption of normal distribution for location and orientation differences of correct matches under global translational motion model. The accuracy of the proposed method is compared with some famous registration methods. A quantitative comparison has been done with a collective of images with known motion vectors. Also a subjective comparison has been done with the results of various registration methods including the proposed method for Super-Resolution. The experimental results show the better performance of the proposed algorithm in compare with some other registration methods.
Study of calcium oxalate monohydrate of kidney stones by X-ray diffraction

X-ray powder diffraction was used to study the phase composition of human renal calculi. The stones were collected from 56 donors in Vitória, Espírito Santo state, southeastern Brazil. An XRD phase quantification revealed that 61% of the studied renal stones were composed exclusively of calcium oxalate [34% formed only by calcium oxalate monohydrate (COM) and 27% presents both monohydrate and dihydratate calcium oxalate]. The 39% multi-composed calculi have various other phases such as uric acid and calcium phosphate. Rietveld refinement of XRD data of one apparent monophasic (COM) renal calculus revealed the presence of a small amount of hydroxyapatite. The presence of this second phase and the morphology of the stone (ellipsoidal) indicated that this calculus can be classified as non-papillary type and its nucleation process developed in closed kidney cavities. In order to show some advantages of the X-ray powder diffraction technique, a study of the phase transformation of monohydrate calcium oxalate into calcium carbonate (CaCO3) was carried out by annealing of a monophasic COM calculi at 200, 300, and 400 °C for 48 h in a N2 gas atmosphere. The results of the XRD for the heat treated samples is in good agreement with the thermogravimetric analysis found in the literature and shows that X-ray powder diffraction can be used as a suitable technique to study the composition and phase diagram of renal calculi.
Duma i uprzedzenie. Znaczenie wyboru osoby transseksualnej na „przedstawiciela Narodu”

Pride and prejudice. The significance of election of a transsexual person as a “representative of Nation” Ms. Anna Grodzka’s election to the Polish Parliament in 2011 was a crucial event because for the first time in Europe a transsexual person became a Member of Parliament, and thus was to represent all Poles at the national level. This event resulted in mixed reactions and comments: from euphoria to trauma, from great pride to deep prejudice. It is instrumental in self identification of Poles, nevertheless two different Polish “nations” make use of it, presenting two different languages and two absolutely separate pictures of Polish identity. The first approach is associated with such notions as freedom, equity, minority rights, multiculturalism. The other is connected with such phrases as original values, genuine Poles, God, and the regular family. Therefore contemporary war of cultures, that is a general conflict over values and collective identity, came to focus on the fact that Anna Grodzka became an MP. The author of the article, relying on Allan McKee’s interpretative analysis of cultural texts, in this case press articles, aims at an analysis of the role of Ms. Grodzka’s election for identity shaping processes among Poles. Duma i uprzedzenie. Znaczenie wyboru osoby transseksualnej na „przedstawiciela Narodu” Wybor Anny Grodzkiej na poslanke byl przelomowym wydarzeniem, poniewaz po raz pierwszy w Europie osoba transseksualna zostala przedstawicielką wszystkich rodakow. Wydarzenie to wywolalo jednak rozne reakcje: od euforii do traumy, od wielkiej dumy do glebokich uprzedzen. Sluzy ono bowiem samookreślaniu sie Polakow, ale w taki sposob, ze korzystają z niego w procesie samoidentyfikacji co najmniej dwa polskie „narody”, poslugujące sie jezykami uosabiającymi dwie zupelnie inne wizje polskości. Narod tych, ktorzy boją sie o Polske, utozsamianą z wiarą katolicką, tradycyjną rodziną i podzialem rol plciowych, dla ktorych norma jest jedna, a wartości prawdziwe albo nieprawdziwe. I narod tych, ktorzy Polske swą widzą barwną, roznorodną, wielokulturową, otwartą i zmienną. Fakt wyboru Anny Grodzkiej do Sejmu stal sie wiec jedną z soczewek, w ktorej ogniskuje sie wspolczesna wojna kultur, ktora jest w istocie symboliczną walką o to, kim jesteśmy jako Polacy i w jakim spoleczenstwie chcemy zyc. Stosując, proponowaną przez Allana McKee, interpretatywną analize tekstow kulturowych, w tym przypadku artykulow prasowych, staram sie przyblizyc znaczenie tego wydarzenia dla procesow tozsamościowych Polakow.
A Study of the Memory Wall within the Jacobi Iteration Method

In recent years, a great number of applications have been implemented on the CMP and achieved good performance. The success of the parallelism of a great deal of applications on CMP shows a bright future of the development of the CMP. However, some other experiments exposed the shortcomings of the CMP which may significantly reduce the performance of the parallel program. In this paper, we devote the effort to reveal the effect of the memory wall on the performance on different types of CMP through a data-intensive application, the Jacobi iteration method. The memory wall is becoming a more and more crucial issue that dominates the performance of the whole application, especially data-intensive ones. High latency, low bandwidth and data contention compose the memory wall in the CMP. Limiting the problem scale within a certain range to avoid the insufficient bandwidth is a feasible way. Some advanced technologies such as data prefetching and thread switching can help reducing or even eliminating the effect of the latency.
Is the top of atmosphere dust net radiative effect different between Terra and Aqua?

We assess the difference in Top of Atmosphere (TOA) cloud‐free Net Radiative Effect (NRE) of dust aerosols between the Terra and Aqua satellites using three years of collocated Moderate Resolution Imaging SpectroRadiometer (MODIS) and the Clouds and the Earth's Radiant Energy System (CERES) data over the Atlantic Ocean [0–30°N, 10–60°W]. The dust aerosol optical thickness at 0.55 μm (τdust) was first separated from the total aerosol column aerosol optical thickness (τ) and our results indicate that the Terra minus Aqua difference for both τ and τdust is approximately 10%, with Terra values generally being slightly higher. The resulting difference in TOA NRE from dust aerosols is less than 1 Wm−2. The difference between Terra and Aqua NRE lies well within previously reported uncertainties indicating that data from either satellite can be used interchangeably if independent adjustments for diurnal effects and clear‐sky sample biases are made.
Distributed antipole clustering for efficient data search and management in Euclidean and metric spaces

In this paper a simple and efficient distributed version of the introduced antipole clustering algorithm for general metric spaces is proposed. This combines ideas from the M-tree, the multi-vantage point structure and the FQ-tree to create a new structure in the "bisector tree" class, called the antipole tree. Bisection is based on the proximity to an "antipole" pair of elements generated by a suitable linear randomized tournament. The final winners (A, B) of such a tournament are far enough apart to approximate the diameter of the splitting set. A simple linear algorithm computing antipoles in Euclidean spaces with exponentially small approximation ratio is proposed. The antipole tree clustering has been shown to be very effective in important applications such as range and k-nearest neighbor searching, mobile objects clustering in centralized wireless networks with movable base stations and multiple alignment of biological sequences. In many of such applications an efficient distributed clustering algorithm is needed. In the proposed distributed versions of antipole clustering the amount of data passed from one node to another is either constant or proportional to the number of nodes in the network. The distributed antipole tree is equipped with additional information in order to perform efficient range search and dynamic clusters management. This is achieved by adding to the randomized tournaments technique, methodologies taken from established systems such as BFR and BIRCH*. Experiments show the good performance of the proposed algorithms on both real and synthetic data
Point-Touch Technique of Botulinum Toxin Injection for the Treatment of Spasmodic Dysphonia

Intralaryngeal injections of botulinum toxin (Botox), under electromyographic guidance, have emerged as an effective treatment for adductor spasmodic dysphonia. To remain effective, these injections must be repeated every 3 to 9 months as the symptoms recur. One drawback to the current method is the need for electromyographic confirmation of needle placement into the thyroarytenoid muscle. This report describes an anatomic approach to Botox injection that requires only flexible nasopharyngeal endoscopy and careful evaluation of the anatomic landmarks. This technique has been used successfully on 13 patients, and objective pretreatment and posttreatment measures are reported.
The Effects of 52 Weeks of Soccer or Resistance Training on Body Composition and Muscle Function in +65-Year-Old Healthy Males – A Randomized Controlled Trial

The effects of 52 weeks of soccer or resistance training were investigated in untrained elderly men. The subjects aged 68.1±2.1 yrs were randomised into a soccer (SG; n = 9), a resistance (RG; n = 9) and a control group (CG; n = 8). The subjects in SG and RG, respectively, trained 1.7±0.3 and 1.8±0.3 times weekly on average during the intervention period. Muscle function and body composition were determined before and after 16 and 52 weeks of the intervention period. In SG, BMI was reduced by 1.5% and 3.0% (p<0.05) after 16 and 52 weeks, respectively, unchanged in RG and 2% higher (p<0.05) in CG after 52 weeks of the intervention period. In SG, the response to a glucose tolerance test was 16% lower (p<0.05) after 16 wks, but not after 52 wks, compared to before the intervention period, and unchanged in RG and CG. In SG, superoxide dismutase-2 expression was 59% higher (p<0.05) after 52 wks compared to before the intervention period, and unchanged in RG and CG. In RG, upper body lean mass was 3 and 2% higher (p<0.05) after 16 and 52 wks, respectively, compared to before the intervention period, and unchanged in SG and CG. In RG, Akt-2 expression increased by 28% (p<0.01) and follistatin expression decreased by 38% (p<0.05) during the 52-wk intervention period, and was unchanged in SG and CG. Thus, long-term soccer training reduces BMI and improves anti-oxidative capacity, while long-term resistance training impacts muscle protein enzyme expression and increases lean body mass in elderly men. Trial Registration ClinicalTrials.gov: NCT01530035
Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications

We propose a new approach to modeling transition information between signs in continuous Sign Language Recognition (SLR) and address some scalability issues in designing SLR systems. In contrast to Automatic Speech Recognition (ASR) in which the transition between speech sounds is often brief and mainly addressed by the coarticulation effect, the sign transition in continuous SLR is far from being clear and usually not easily and exactly characterized. Leveraging upon hidden Markov modeling techniques from ASR, we proposed a modeling framework for continuous SLR having the following major advantages, namely: (i) the system is easy to scale up to large-vocabulary SLR; (ii) modeling of signs as well as the transitions between signs is robust even for noisy data collected in real-world SLR; and (iii) extensions to training, decoding, and adaptation are directly applicable even with new deep learning algorithms. A pair of low-cost digital gloves affordable for the deaf and hard of hearing community is used to collect a collection of training and testing data for real-world SLR interaction applications. Evaluated on 1,024 testing sentences from five signers, a word accuracy rate of 87.4% is achieved using a vocabulary of 510 words. The SLR speed is in real time, requiring an average of 0.69s per sentence. The encouraging results indicate that it is feasible to develop real-world SLR applications based on the proposed SLR framework.