Miracle-dz/UniFAR-FTUs huggingface dataset:
Efektifitas PBL dan Problem Solving Siswa SD Ditinjau dari Kemampuan Berpikir Kritis

Mathematic is one of the most important subjects in elementary school that requires students to recognize, understand and be skilled in using knowledge with abstract objects and develop it logically. From those reasons, that’s why students had difficulty in thinking while studying mathematic so students have low learning interest. This research aimed to determine the effectiveness of the application of Problem Based Learning and Problem Solving models in elementary school mathematic learning in terms of critical thinking skills. The samples in this research were students of grade 5 SDN 1 Terkesi, SDN 2 Terkesi, and SDN 3 Terkesi. This research was an experimental research with quasi-experimental research by using Non equevalent Control Group Design. The instrument used to measure critical thinking skills was the rubric of critical thinking ability assessment. The data analysis used descriptive analysis and t test. The results showed that the use of the Problem Based Learning model was effective to the Problem Solving model in terms of students' critical thinking skills in solving mathematic problems. It showed by the final results obtained from the experimental class with the number of students (N) 35 had a mean score of 86,171. While in the control class a mean score of 72.882 was obtained with (N) 34 students. From the T test results obtained that sig was 0,000 <0.05 then Ho was rejected and Ha was accepted, meaning that the critical thinking ability of the Problem Based Learning model was significantly effective than the Problem Solving model. A R T I C L E I N F O Article history: 25 December 2019 Received in revised form 01 January 2020 Accepted 25 January 2020 Available online 28 February 2020
Effects of vegetable oil and yeast fermented cassava pulp (YFCP) supplementation on feed intake, nutrient digestibility and rumen fermentation in Thai Friesian dairy cows

This study was conducted to investigate the effect of vegetable oil and yeast fermented cassava pulp (YFCP) supplementation on feed intake, nutrient digestibility and rumen fermentation in Thai Friesian dairy cows (Thai native x Holstein Friesian). Eight Thai Friesian dairy cows (447±44 kg.BW) were assigned to 4×4 double latin square design (DLSD) with two sources of oil i.e. palm oil (PO) or soybean oil (SBO) and four levels of YFCP (0, 5, 10 and 20%DM) in the dietary treatments. All cows received total mixed ration (TMR) comprised of rice straw to concentrate at a ratio of 40:60. The results showed that supplementation of SBO had lowered feed intake, nutrients digestibility, metabolize energy intake (MEI), total digestible nutrient (TDN) and methane emission than PO treatment. However, cows received SBO had greater total volatile fatty acid (TVFA), propionic acid (C3), butyric acid (C4) than cows received on PO (P less than 0.05). In addition, supplementation of YFCP at 10%DM in the diet as an optimum level in dairy cow diets (P greater than 0.05). Finally, the interaction between the addition of SBO and YFCP at 10%DM (SBO+YFCP) had a positive effect on enhancing ether extract intake (EEI) in dairy cows.
Effects of Sea Level Rise and Sea Dike Construction on the Downstream End of the Saigon River Basin (Can Gio Bay)

Located at the downstream end of the Dong Nai-Saigon river basin, near the mouth of the Saigon River, which is known as the “green lungs” of Ho Chi Minh City (HCMC) due to the ecosystem functions of the Can Gio mangrove forest, is a very complex hydrodynamic and geomorphic region with crossing estuaries, forming the so-called Can Gio Bay. Given its flat, low-lying topography, this area is strongly influenced by two main factors: (1) upstream flooding and (2) tidal regimes. The historical flood event of 2000 indicated that the downstream region of HCMC suffers from serious flooding, and that the Can Gio area is the worst affected, with approximately 90% of its area being inundated. This research aims to investigate the impact of tides and inflows in Can Gio Bay in the context of sea level rise and a sea dike structure connecting Go Cong to Vung Tau. A two-dimensional hydrodynamic model combined with a wetting and drying scheme is used to determine the locations of inundated areas. This research also shows how sea level rise and upstream flows cause flooding in Can Gio Bay, and identifies the negative and positive impacts of sea dike construction on Can Gio Bay.
Statistical Mechanical Prediction of Ligand Perturbation to RNA Secondary Structure and Application to the SAM-I Riboswitch

The realization that non protein-coding RNA (ncRNA) is implicated in an increasing number of cellular processes, many related to human disease, makes it imperative to understand and predict RNA folding. RNA secondary structure prediction is more tractable than tertiary structure or protein structure. Yet insights into RNA structure-function relationships are complicated by coupling between RNA folding and ligand binding. Here, we introduce a simple statistical mechanical formalism to calculate perturbations to equilibrium secondary structure conformational distributions for RNA, in the presence of bound cognate ligands. For the first time, this formalism incorporates a key factor in coupling ligand binding to RNA conformation: the differential affinity of the ligand for a range of RNA-folding intermediates. We apply the approach to the SAM-I riboswitch, for which binding data is available for analogs of intermediate secondary structure conformers. Calculations of equilibrium secondary structure distributions during the transcriptional “decision window” predict subtle shifts due to the ligand, rather than an on/off switch. The results suggest how ligand perturbation can release a kinetic block to the formation of a terminator hairpin in the full-length riboswitch. Such predictions identify aspects of folding that are most affected by ligand binding, and can readily be compared with experiment.
The complete chloroplast genome of Notholition macrophyllum

Abstract Notholirion macrophyllum (D. Don) Boiss. (Liliaceae) is a floriferous species naturally distributed in Asia. The complete chloroplast genome sequence of N. macrophyllum was generated by de novo assembly using whole genome next generation sequencing data. The complete chloroplast genome of N. macrophyllum was 152143 bp in total sequence length and divided into four distinct regions: small single copy region (17913 bp), large single copy region (82222 bp) and a pair of inverted repeat regions (26004 bp). The genome annotation displayed a total of 135 genes, including 82 protein-coding genes, 38 tRNA genes, and 8 rRNA genes. Phylogenetic analysis with 7 Liliaceae species revealed that N. macrophyllum was the basal species of tribe Lilieae and was close to Cardiocrinum giganteum.
Cybervictimization, Depression Suicidal Ideation, and Addictive Behavior toward Social Media

An addictive behavior is considered to exist when there is excessive use, loss of control and tolerance, and withdrawal symptoms which cause negative repercussions in everyday life and become a concern where other psychopathological problems may manifest. The objective of this study was to develop an explanatory model of cybervictimization, depression, suicidal ideation and addictive behavior toward social media. Instruments that measured these variables were applied to a total sample of 406 university students. A significant correlation was found between addictive behavior toward social media, cybervictimization, depression, and suicidal ideation. The model explained that cybervictimization and depression can lead to two outcomes: an addictive behavior toward social media, or suicidal thoughts. These results contribute to a better understanding of current phenomenon such as cybervictimization and addictive behavior toward social media with respect to depression and suicidal ideation. A deeper investigation is recommended to create preventive and intervention programs for healthy Internet usage for young people.
ZEB1 insufficiency causes corneal endothelial cell state transition and altered cellular processing

The zinc finger e-box binding homeobox 1 (ZEB1) transcription factor is a master regulator of the epithelial to mesenchymal transition (EMT), and of the reverse mesenchymal to epithelial transition (MET) processes. ZEB1 plays an integral role in mediating cell state transitions during cell lineage specification, wound healing and disease. EMT/MET are characterized by distinct changes in molecular and cellular phenotype that are generally context-independent. Posterior polymorphous corneal dystrophy (PPCD), associated with ZEB1 insufficiency, provides a new biological context in which to understand and evaluate the classic EMT/MET paradigm. PPCD is characterized by a cadherin-switch and transition to an epithelial-like transcriptomic and cellular phenotype, which we study in a cell-based model of PPCD generated using CRISPR-Cas9-mediated ZEB1 knockout in corneal endothelial cells (CEnCs). Transcriptomic and functional studies support the hypothesis that CEnC undergo a MET-like transition in PPCD, termed endothelial to epithelial transition (EnET), and lead to the conclusion that EnET may be considered a corollary to the classic EMT/MET paradigm.
Cell-Mediated Cytotoxicity Assays

Methods measuring cell-mediated cytotoxicity can be divided in two based on whether radioactive material is used or not. NK cellmediated cytotoxicity is routinely measured with a short-term assay by utilizing radioactive chromium (51Cr) marking the target cells. This method has several advantages. It is highly sensitive, easy to execute, has low spontaneous release, and utilizes a marker that is nontoxic to the cells. The drawbacks of the method include the short half-life of the label, and the necessity for handling and disposal of radioactive supplies. Many attempts have been made to adapt this cytotoxicity assay to abolish radioactivity while maintaining its high sensitivity. Consequently, various nonradioactive methods have been developed. One of these methods utilizing the release of enzymes (LDH) as a result of cytolysis or membrane dyes (PKH-26) is usually less sensitive than radioactive assays. MTT-based colorimetric/ enzymatic assays are highly sensitive and easy to use but unfortunately work well only with adherent tumor cell targets. Fluorescent dyes such as carboxy-fluorescein diacetate can easily accumulate in the cytoplasm of effector or target cells. After cytotoxicity, the release of these dyes into the supernatant or their retention in target cells is calculated. However, spontaneous release of these dyes can be quite high, causing false results resulting in decreased sensitivity and restricting their use in short-term assays. More recently, flow cytometric methods using fluorescent monoclonal antibodies such as anti-CD56 for effector and anti-CD33 for target cells have been defined.
Ad-Seq, a genome-wide DNA-adduct profiling assay

Summary Carcinogens form adducts with the DNA which, when not properly repaired, can lead to mutations and drive oncogenesis. The identity, sequence specificity and mutagenicity of most DNA-adducts is however poorly understood and current molecular assays are limited in their scope and scalability. We present a novel genome-wide DNA adduct sequencing (Ad-Seq) assay to map the location of DNA-adducts at single-nucleotide resolution. Ad-Seq enriches for DNA fragments containing nuclease digestion resistant DNA-adducts. The genomic location of the resulting reads is aggregated in a quantitative profile showing the DNA-adduct sequence context. Ad-Seq is quantitative and confirms known specificity of damages from Ultra-Violet light (di-pyrimidine) and cisplatin (AG and GG di-purines). Furthermore, in cells, Ad-Seq profile can be compared to chromatin segments to show that cisplatin associated adducts are depleted in open and active chromatin regions. The Ad-Seq assay can therefore generate a broad DNA signature of DNA damage and, by comparing to mutagen exposure or downstream mutational profile and signatures, be used to improve our understanding of cancer molecular etiology.
Face Recognition and Its Multiple Applications

4 Introduction . 1 1. Facial expression Recognition . 2 2. Facial Expression Recognition (FER) Techniques . 4 2.1 Facial Expression Recognition (FER) Evolution . 6 2.2 Facial Expression Recognition (FER) Current Trends. 9 2.2.1 Estimating intensity of facial expressions . 9 2.2.2 Microexpressions analysis . 10 2.2.3 AFER for detecting non-primary affective states . 11 2.3 Methods and Algorithms . 12 2.3.1 Pre-processing . 13 2.3.2 Feature extraction . 14 2.3.3 Classification. 14 3. Fields of Applications of Facial Expression Recognition (FER) . 17 3.1 Human-Computer Interaction, Human-Robotic Interaction and Healthcare System . 18 3.1. 1 Human-Computer Interaction (HCI) . 18 3.1. 2 Human-Robotic Interaction (HRI) . 23 3.1. 3 Healthcare System . 30 3.2 Computer Animations . 34 3.2.1 Creation of lexicon of virtual character's facial expressions . 35 3.3 Police Interrogation . 43 3.3.1 Dialogue in Police Training with children Interviewing . 44 3.4 Drivers’ Safety . 47 3.5 Marketing . 49 4. Actual Commercial Applications of Facial Expression Recognition (FER) . 54 4.1 Face Recognition and Big Data Analysis . 55 4.1. 1 Biometric and Big Data Technology . 57 4.1. 2 Biometric, Big Data and Cloud Technologies . 58 4.2 Face Recognition and Social Networks . 59 4.3 Face Recognition and Machine Learning . 60 4.4 Face Recognition and Cloud Computing. 62 4.5 Real-life Applications of FER Technology . 63 4.5. 1 Device authentication (phones, PCs, connected cars) . 64 4.5. 2 Security sector (airports, hotels.) . 70 4.5. 3 Health . 71 4.5. 4 Retail, Marketing, and Advertising . 71
Research on Finger Vein Recognition Based on Improved Convolutional Neural Network

Aiming at the problems of low recognition accuracy and poor generalization performance of finger vein recognition method, a finger vein recognition method based on the combination of deep convolutional network and extreme learning machine was proposed. Use deep convolutional networks to automatically extract feature from finger veins to reduce the large amount of effective information lost in traditional method feature extraction. At the same time, in order to enhance generalization, the deep convolutional network has been improved to remove the original fully connected layer Add extreme learning machine layers to identify the extracted feature vectors. An experimental analysis of the proposed method was performed on a common finger vein dataset. Experimental results show that, compared with other finger vein recognition methods, this method has higher accuracy and stronger generalization performance in finger vein recognition.
Una adaptación del procedimiento bootstrap en la estimación del error cuadrático medio en área pequeñas con aplicación a datos colombianos.

La tesis que se presenta a continuacion tiene como tema principal la estimacion en areas pequenas. El objetivo es implementar una modi ficacion del procedimiento Bootstrap sugerido en la literatura, el cual permite obtener un estimador del error cuadratico medio del estimador del promedio para cada area pequena. En este estudio se trabajara un Modelo Lineal General Mixto, en particular un modelo de dos niveles. El aporte de este trabajo consiste en considerar en la adaptacion del procedimiento Bootstrap, los residuales condicionales de Pearson asociados al error del modelo (residuales de las unidades de nivel 1) y residuales MPLIE de Pearson correspondiente a la prediccion del efecto aleatorio del modelo (residuales de las unidades de nivel 2), los cuales no son considerados en la literatura relacionada con los procedimientos Bootstrap aplicados a modelos lineales jerarquicos mixtos.
Mathematical mindsets and grade 9 mathematics learners: A case study of teachers' experiences

This research explores the implementation of growth mindset with high school mathematics students. I conducted a secondary analysis of case study data gathered for the Ontario Association for Mathematics Education (OAME) Grade 9 Applied Collaborative Inquiry Project. I questioned how these mathematics educators understood mindset, the strategies they used to foster growth mindsets, and their perceptions of the value of, and obstacles associated with, using a mindset approach particularly within a streamed mathematics course context. The observations describe these teachers’ efforts to embed mindset into their mathematics classrooms as well as their sense of how ingrained fixed mindsets, views of mathematics as a right or wrong subject, marks-based assessment practices, and the streamed nature of the Applied mathematics course, may discourage growth mindset. These observations highlight the importance of ensuring that approaches to fostering growth mindset permeate every aspect of classroom practice, effectively calling for change in many secondary mathematics norms. 3 MATHEMATICAL MINDSETS AND TEACHER EXPERIENCES
Design and Structure of The Juman++ Morphological Analyzer Toolkit

An NLP tool is practical when it is fast in addition to having high accuracy. We describe the architecture and the used methods to achieve 250 × analysis speed improvement on the Juman++ morphological analyzer together with slight accuracy improvements. This information should be useful for implementors of high-performance NLP and machine-learning based software
Dynamic Real-Time Stream Reservation for IEEE 802.1 Time-Sensitive Networks with OpenFlow

: Time-Sensitive Networking, Software-Defined Networking, Network Management, Industry 4.0 . Industrial network communication requirements are changing within Industry 4.0. Current static industrial networks will require ﬂexibility and need on demand stream reservation with real-time c apabilities. Time-sensitive Networking (TSN) offers real-time communication for Ethernet while also providing a mechanism to dynamically request streams (IEEE 802.1Qcc). The standard does not provide concrete speciﬁcations for the implementation. This paper evaluates the OpenFlow protocol known from Software-Deﬁned Networking (SDN) for network management in TSN-networks. Requirements for a centralized TSN-controller were identi-ﬁed and OpenFlow has been evaluated if it can fulﬁll these requirements. An architecture for a TSN-controller has been presented. A proof-of-concept has been implemented and evaluated.
THERMOTOLERANCE IDENTIFICATION IN WATER BUFFALO USING HEAT SHOCK PROTEIN 70 (HSP70) AND ITS EFFECT TO SEMEN QUALITY IN VARYING ENVIRONMENTAL CONDITIONS

The synthesis of Heat Shock Proteins (HSPs) acts as a countermeasure for cel­lular protection when certain environmental parameters exceeded tolerable ranges and threatened cell survival. HSP70 , one of the major HSPs is com­monly induced in sperm of livestock animals and found to be associated with semen quality and fertility. This study aimed to determine and evaluate the role of HSP70 in semen quality and thermotolerance of water buffalo as affected by seasonal variations. Total RNA was isolated from the ejaculates of twenty regular semen donor bulls during four seasons and was subjected to Real-time PCR for the analysis of the HSP70 expression. The relative expression value of HSP70 was found to be significantly ( P <0.05) highest (1.12) during the hottest season while significantly ( P <0.05) least (0.55) on the coldest season. A moder­ately positive correlation was observed between HSP70 expression and semen quality (r=0.26-0.30). It was also found that individual bulls are capable of ex­pressing significantly ( P <0.05) different HSP70 levels from 0.156-1.79. In con­clusion, the expression of HSP70 in semen can be a good indicator of thermo­tolerance and thermoresistance in water buffaloes as well as its semen quality, allowing it to be a potential biomarker for heat stress of an animal.
Predictive modelling of the potential future distribution of Vachellia nilotica within the KwaZulu-Natal province of South Africa

Many regions of South Africa are prone to woody plant thickening. This can have an ecologically detrimental effect on the open savannas and grasslands. KwaZulu-Natal, a province on the east coast of South Africa, is currently experiencing an increase in both the density and distribution of Vachellia nilotica. This research aims to gain better insight into the potential distribution of this plant and to determine some of the main environmental conditions that promote its thickening. Using the Maxent programme to determine the potential distribution, a map was developed to illustrate the possible extent of V. nilotica within KwaZulu-Natal. It is estimated that a possible 800 968 ha (8.5%) of the province has a greater than 50% distribution probability, whereas in 26.9% of the province there is 25%–50% probability of V. nilotica inhabiting these areas. Using Maxent, it was determined that geology and altitude were key determinants for V. nilotica habitat selection. This model-based map will be particularly useful for conservation and rangeland planning for future management and control of the plant through being able to predict which areas of the province are more likely to be high potential regions for the thickening of V. nilotica.
Effect of dietary chelated copper and methionine and cysteine on performance, egg quality, and nutrient balance in brown laying hens from 20 to 49 wk old

Using 960 brown laying hens from 20 to 48 wk of age, in a 4 × 5 factorial arrangement, the effects on production, quality of eggs, and nutrient balance of analysed 18, 41, 61, and 111 mg kg−1 of copper (Cu) and of 0.550%, 0.679%, 0.793%, 0.845%, and 0.948% of methionine and cysteine (Met + Cys) were evaluated. Treatments were administered to six replicate cages (eight hens per cage). At the 49th wk of age, 320 of these hens were kept under the same experimental conditions to evaluate the nutrient balance, and each treatment was allocated to four replicate cages (four hens per cage). The trend of interaction effect between Cu and Met + Cys levels was observed on egg weight and mass. The interaction between mineral and amino acid was characterized on egg quality variables. Quadratic equations indicated that increasing the dietary level of Cu reduced the estimate requirement of Met + Cys for hens. Across the entire experimental period, the total estimated Met + Cys level was 0.755% ± 0.021% based on the performance variables. As Cu increased in the diet, it decreased the estimated Met + Cys level to ensure egg weight, mass, and egg quality. Level of chelated Cu above 23 mg kg−1 may negatively affect the egg quality.
Complete mitochondrial genome of Anthus richardi (Passeriformes: Motacillidae)

Abstract Richard’s Pipit Anthus richardi is a medium-sized passerine bird which breeds in open grasslands in northern Asia with a long-distance migrant moving to open lowlands in the Indian subcontinent and Southeast Asia. In this study, the mitochondrial genome of this bird species was obtained by the PCR-based sequencing method. The mitogenome is 16,871 bp in size, including 22 tRNAs, 2 rRNAs, 13 protein-coding genes and a D-loop. The A, T, G, and C base composition of the mitochondrial DNA are 29.73%, 23.12%, 14.59% and 32.56%, respectively. The starting codon of protein-coding genes is typical ATG, except for the ND2 which starts with ATA. The D-loop locates between genes of tRNAGlu and tRNAPhe. The result of the phylogenetic analysis indicates that A. richardi has close phylogenetic relationship with A. novaeseelandiae.