Miracle-dz/UniFAR-FTUs huggingface dataset:
Leadership in Disaster Management: Theory Versus Reality

A disaster is defined as an occurrence disrupting the normal conditions of existence and causing a level of suffering that exceeds the capacity of adjustment of the affected community [1]. There are three conditions that need to be present in an event to render it a disaster: the event must be disrupting the normal conditions, exceeding the local capacity and affecting people. A disaster situation must always involve people, that without people, there would be no disaster, just a physical phenomenon [1]. Emergency is sometimes used interchangeably with the term disaster, such as in the context of biological hazards, technological hazards or health emergencies. These situations may be hazardous events that do not result in the serious disruption of the functioning of a community or society [2]. In the state of emergency, normal procedures are suspended, and extra-ordinary measures are taken in order to avert a disaster [1]. A crisis on the other hand is a situation when risks escalate out of control, and if a crisis creates an unmanageable situation and cannot be contained, then disaster strikes [3]. Governance of disaster management is increasingly advocated as one of the important factors to reduce the risk of disasters, alongside the technical know-how of managing a disaster [4-6]. In the context of disaster management, disaster governance consists of “interrelated sets of norms, organizational and institutional actors, and practices that are designed to reduce the impacts and losses associated with disasters arising from natural and technological agents and from intentional acts of terrorism” [7]. In disaster management, the role of the leader is extremely important in bringing order in the state of chaos. Good leadership is the core of good governance. According to the Cambridge Dictionary, a leader is defined as the person in control of a group, country, or situation. Logically, leaders in disaster situation may be of various ranks, such as the incident commander at the disaster site, the government official in charge of managing the disaster or the Prime Minister or President ABSTRACT
Prediction of Chlorophyll-a Concentrations in the Nakdong River Using Machine Learning Methods

Many studies have attempted to predict chlorophyll-a concentrations using multiple regression models and validating them with a hold-out technique. In this study commonly used machine learning models, such as Support Vector Regression, Bagging, Random Forest, Extreme Gradient Boosting (XGBoost), Recurrent Neural Network (RNN), and Long–Short-Term Memory (LSTM), are used to build a new model to predict chlorophyll-a concentrations in the Nakdong River, Korea. We employed 1–step ahead recursive prediction to reflect the characteristics of the time series data. In order to increase the prediction accuracy, the model construction was based on forward variable selection. The fitted models were validated by means of cumulative learning and rolling window learning, as opposed to the hold–out technique. The best results were obtained when the chlorophyll-a concentration was predicted by combining the RNN model with the rolling window learning method. The results suggest that the selection of explanatory variables and 1–step ahead recursive prediction in the machine learning model are important processes for improving its prediction performance.
Automatic forecasting of student’s province towards Information and communication technology awareness

An experimental study is conducted to forecast the residence state of the students based on their response provided in the ICT survey held during the academic year 2015-2016 at two universities of India. The dataset consists of 560 instances and 59 features. We considered the state as the response variable and 35 features as predictors after self-reduction. The dataset is trained and tested with k-fold cross validation using three popular supervised machine learning classifiers named Artificial Neural Network (ANN), Sequential Minimal Optimization (SMO) and random forest (RF) in the Weka 3.8. 1 workbench. The outcomes of the study reveal that RF classifier outperformed with highest accuracy (83.39%) the ANN and SMO at 6-Fold of Cross-Validation (CV). Finally, the authors presented state forecast models which accurately forecasting the state of the student based on their answers during the survey with stabilizing the value of k=6 of CV. The maximum accurate forecasting count for Punjab student is found 239 out of 282 and for Haryana student is found 228 out of 278 with k=6. The findings of study prove a significant difference between the RF and the ANN, the SMO in accuracy and there is no significant difference between accuracy gained by SMO and ANN for state forecasting against student’s response during the survey.
Bacteriocins of Some Groups of Gram-Negative Bacteria

The results of gram-negative bacteria bacteriocins research have been analyzed. These killer factors are characterized by powerful antimicrobial activity, narrowly directed spectrum of action and safety for the macroorganism. Bacteriocins, especially produced by gram-negative bacteria, are investigated very differentially and, in most cases, insufficiently, the available information is not systematized. The present article focused on bacteriocins, which are active against phytopathogenic bacteria and can be used in crop production as independent biocontrol agents, as well as on the killer factors of marine microorgan ­ isms, which application in aquaculture is allowed only with their producer-strains.
Locomotion is not a privilege after birth: Ultrasound images of viviparous shark embryos swimming from one uterus to the other

Underwater ultrasound, a new tool for observing the internal body parts of aquatic animals by scuba divers, allowed us long‐term and frequent observations of the embryos of captive aquatic vertebrates. New ultrasound data of captive tawny nurse sharks (Nebrius ferrugineus) revealed that their embryos frequently migrate between the right and left uteri during gestation. This report is the first reliable evidence of active embryonic locomotion in live‐bearing vertebrates and is contradictory to the concept of “sedentary embryo” which has mainly arisen from studies of mammals. The tawny nurse shark is unique among orectolobiform sharks, in which the embryo develops by feeding on sibling eggs in utero. Thus, we hypothesized that swimming aids in an efficient search and capture of these eggs in the uterine environment.
PERANCANGAN ZINE SEBAGAI MEDIA KAMPANYE SOSIAL PEDULI PILPRES 2019 UNTUK PEMILIH PEMULA (GENERASI Z)

The concern of novice voters in the Indonesian Presidential Elections2019 was declining due to bad political problems. This made thempolitically apathetic. Many social campaigns have tried to voice this,but have not yet had an impact because they are buried by the swiftflow of information in digital media. The campaigns also do not yethave a message and media selection strategies that are close to thenovice voters which is part of generation z. The author carries out thisdesign using the Design Thinking method from Tim Brown (2009). Inthis design, the author creates visual communication for a socialcampaign. The verbal and visual message strategies adapted fromLakoff and Johnson's metaphor theory (2003). In selecting media, theauthor considering generation z and digital theory from Stillman(2017). That theory supported by the concept of media synergy fromDjito Kasilo (2008). Those strategies are applied in e-zines andprinted zine so the message of the social campaign can be accepted bynovice voters in real and virtual spaces.
A beginner’s guide to RT-PCR, qPCR and RT-qPCR

The development of the polymerase chain reaction (PCR), for which Kary Mullis received the 1992 Novel Prize in Chemistry, revolutionized molecular biology. At around the time that prize was awarded, research was being carried out by Russel Higuchi which led to the discovery that PCR can be monitored using fluorescent probes, facilitating quantitative real-time PCR (qPCR). In addition, the earlier discovery of reverse transcriptase (in 1970) laid the groundwork for the development of RT-PCR (used in molecular cloning). The latter can be coupled to qPCR, termed RT-qPCR, allowing analysis of gene expression through messenger RNA (mRNA) quantitation. These techniques and their applications have transformed life science research and clinical diagnosis.
A Multiple Mediation Analysis of the Effect of Prior Performance on Academic Achievement Through Student Teachers’ Motivational Orientations

The study investigated the mediational effect of student teachers’ motivational orientations on the relationship between prior performance and academic achievement. This cross-sectional correlation study employed a survey approach in the collection of quantitative data. Stratified and Systematic sampling approaches were used in selecting 500 student teachers for the study. The results indicated that students ranked extrinsic motivation, value for task or course materials, and self-efficacy for learning as high motivators for learning. The independent samples t-tests for differences in means of first- and second-year students’ reported motivational orientations showed a statistically significant difference in their use of extrinsic motivation, control of learning beliefs, and task value as learning strategies. First-year students’ reported means were higher than that of the second-year students. The results from the study, taken as a set, indicated that student teachers’ motivational orientations significantly mediated the relationship between prior performance (entry aggregates) and academic achievement (GPA). Approximately 16.7% of the change in the effect of prior performance on academic achievement was due to the presence of the motivation variables. Overall, prior performance plus student teachers motivational orientations explained about 42% of the variations in their academic achievement.
Metabolic behavior in the allocation of biomass of melon cultivars under water deficit conditions

Seeking to understand the mechanisms of tolerance of melon plants under water deficit, this study aimed to evaluate the biochemical behavior of melon cultivars and the allocation of biomass under water deficit. Two experiments were conducted in a shaded environment in the experimental area of the State University of Bahia, Juazeiro / BA; the first was carried out in 2015 and the second in 2016. The experimental design was in randomized blocks, replicated three times, with subdivided plots; the plots consisted of four water application rates (50, 75, 100 and 125% of the crop evapotranspiration), the subplots of two melon cultivars 'Yellow' and 'Piel de Sapo'. The sub-subplots were the sampling periods: 15; 30 and 45 days after transplantation. In the first experiment it was evaluated: total soluble sugars, reducing sugars, total proteins. In the second experiment, in addition to biochemical analyzes, the allocation of biomass of leaves, branches, roots, fruits and root / shoot ratio was evaluated. At the end of both experiments, root proline and aerial part were evaluated. Both cultivars showed similar biochemical behavior, except for the accumulation of proline obtained in the cultivar 'Piel de sapo', which allowed greater biomass allocation to the fruit than the cultivar 'Amarelo'.
The use of creative problem solving model to develop students’ adaptive reasoning ability: Inductive, deductive, and intuitive

This study was aimed at investigating adaptive reasoning ability of junior high school students through the implementation of the creative problem solving model. This study employed a mixed-method approach using an embedded concurrent strategy. Thirty students were selected randomly as the sample from 180 Year 8 students, and six students were selected to be observed and further interviewed after the final test. The instruments used were a test and interview questions. The results showed that there was a significant increase in the students' ability between the pre-test and post-test. In addition, there was also an increase in the ability of the six students based on an adaptive reasoning rubric. The increase was more dominant for the first and fifth indicators while the increases of the second and fourth indicators varied. Some students were able to solve the problem based on the indicators, but it was incomplete due to miscalculation, and some students were lacking in the ability to find the pattern and drawing a correct conclusion as a result of the profound basic knowledge. In general, these results indicated that students were able to develop adaptive reasoning although the maximum score could not be achieved. The use of creative problem solving model to develop adaptive reasoning ability: Inductive, deductive and intuitive
Post-transcriptional regulation of Nrf2-mRNA by the mRNA-binding proteins HuR and AUF1

The Nrf2 signaling axis is a target of covalent drugs and bioactive native electrophiles. However, much of our understanding of Nrf2 regulation has been focused at the protein-level. Here we report a post-transcriptional modality to directly regulate Nrf2-mRNA. Our initial studies focused on the effects of the key mRNA-binding protein (mRBP) HuR on global transcriptomic changes incurred upon oxidant or electrophile stimulation. These RNA-sequencing data and subsequent mechanistic analyses led us to discover a novel role of HuR in regulating Nrf2 activity, and in the process, we further identified the related mRBP AUF1 as an additional novel Nrf2 regulator. Both mRBPs regulate Nrf2 activity by direct interaction with the Nrf2 transcript. Our data showed that HuR enhances Nrf2-mRNA maturation and promotes its nuclear export; whereas AUF1 stabilizes Nrf2-mRNA. Both mRBPs target the 3ʹ–UTR of Nrf2-mRNA. Using a Nrf2-activity reporter zebrafish strain, we document that this post-transcriptional control of Nrf2 activity is conserved at the whole-vertebrate level.
Military Background, Political Connection, Audit Quality And Earning Quality

This research is try to determine the effect of military background and political connections on earning quality with audit quality as a mediator. This research uses a quantitative approach using a sample of mining sector company that listing in Indonesia Stock Exchange in the 2017-2018 periods. The conclusion of this research points out that military background has positive effect on audit quality and political connections negatively affect earning quality. While earning quality not effected by the military background, political connections do not effect audit quality, and earnings quality not effected by audit quality. Likewise, for the hypothesis, mediation of the audit quality has no effect on the relationship of military background and political connections to earnings quality.
The Jahn-Teller effect : fundamentals and implications for physics and chemistry

Jahn-Teller effect and vibronic interactions: General theory. - Recent Developments in the Jahn#x2013 Teller Effect Theory. - Electronic Degeneracy and Vibrational Degrees of Freedom: The Permutational Proof of the Jahn#x2013 Teller Theorem. - Group-Theoretical Analysis of Jahn#x2013 Teller Systems. - Spin#x2013 Orbit Vibronic Coupling in Jahn#x2013 Teller and Renner Systems. - Vibronic Coupling Constant and Vibronic Coupling Density. - A New Method to Describe the Multimode Jahn#x2013 Teller Effect Using Density Functional Theory. - Conical intersections and nonadiabatic dynamics in molecular processes. - Second-Order Analysis of Conical Intersections: Applications to Photochemistry and Photophysics of Organic Molecules. - Influence of the Geometric Phase and Non-Adiabatic Couplings on the Dynamics of the H+H Molecular System. - Multi-Mode Jahn#x2013 Teller and Pseudo-Jahn#x2013 Teller Effects in Benzenoid Cations. - On the Vibronic Interactions in Aromatic Hydrocarbon Radicals and Radical Cations. - The Jahn#x2013 Teller Effect in Binary Transition Metal Carbonyl Complexes. - Impurities Spectroscopy of transition metal complexes. - Jahn#x2013 Teller Effect for the 3d Ions (Orbital Triplets in a Cubic Crystal Field). - Constructing, Solving and Applying the Vibronic Hamiltonian. - Instabilities in Doped Materials Driven by Pseudo Jahn#x2013 Teller Mechanisms. - The Influence of Jahn#x2013 Teller Coupling on the High-Spin/Low-Spin Equilibria of Octahedral ML Polyhedra (M : Mn #x2212 Cu), with NiF as the Model Example. - Fullerenes and fullerides. - Following Jahn#x2013 Teller Distortions in Fulleride Salts by Optical Spectroscopy. - Jahn#x2013 Teller Effects in Molecules on Surfaces with Specific Application to C. - Jahn-Teller effect and molecular magnetism. - Jahn#x2013 Teller Effect in Molecular Magnetism: An Overview. - The Effect of Jahn#x2013 Teller Coupling in Hexacyanometalates on the Magnetic Anisotropy in Cyanide-Bridged Single-Molecule Magnets. - The cooperative Jahn-Teller effect and orbital ordering. - Cooperative Jahn#x2013 Teller Effect: Fundamentals, Applications, Prospects. - Orbital Ordering Versus the Traditional Approach in the Cooperative Jahn#x2013 Teller Effect: A Comparative Study. - Frustration Effect in Strongly Correlated Electron Systems with Orbital Degree of Freedom. - Ultrasonic Consequences of the Jahn#x2013 Teller Effect. - Long Range Cooperative and Local Jahn-Teller Effects in Nanocrystalline Transition Metal Thin Films. - Jahn-Teller effect and high-Tc Superconductivity. - Jahn#x2013 Teller Polarons, Bipolarons and Inhomogeneities. A Possible Scenario for Superconductivity in Cuprates. - Polarons and Bipolarons in Jahn#x2013 Teller Crystals. - Vibronic Polarons and Electric Current Generation by a Berry Phase in Cuprate Superconductors.
Factors Affecting the Understanding of IFRS in Accounting Students

This study examines the effect of learning readiness, learning experiences, learning behavior and teaching quality of lecturers on The International Financial Reporting Standard (IFRS) understanding in accounting students. This study uses primary data by distributing questionnaires to accounting program students at Dian Nuswantoro University Semarang. The population in 2019 with the number of students taking their 7th semester in this study was 184 students. Determination of the number of samples in this study using the Slovin formula, to get a total sample of 65 students. The results show that only the readiness of learning affects the understanding of IFRS in accounting students. While the learning experience, learning behavior and teaching quality of lecturers do not affect the understanding of IFRS in accounting students.
Evidence and Trends in Burn Wound Debridement: An Evidence Map

Treatment of the burn wound is crucial in care of severely burned patients. Surgical strategies differ in technique and timing of wound excision and are considered to have an impact on morbidity and mortality of burn patients. Most techniques and strategies have been established during the last century and are still standard of care. Nonetheless, several newer techniques have been presented and evaluated recently. To summarize the evidence and trends for eschar removal by burn wound debridement currently available, an evidence map as variant of the systematic review, was prepared. For this purpose, a systematic literature search was performed in the PubMed databases until December 2016. While overall evidence in this domain is low, recent publications focus on optimal timing of wound excision, enzymatic debridement, and hydrosurgery. Several studies report the benefit of an early wound excision in terms of shorter hospital stay, lower wound infection rate, and reduction of postburn metabolic changes. Enzymatic debridement has been shown to be an effective tool for early eschar removal and in addition reduces the need for autografting of the debrided burn wound with a relatively high level of evidence (LoE 2-). Wound debridement by means of hydrosurgery is more precise compared to conventional wound excision and preserves viable dermis, but a positive effect on wound healing or scar formation could not been shown (LoE 2). Furthermore, rarely reported techniques comprise larvae therapy, debridement by laser, and other technical adjuncts, but the level of evidence is limited (LoE 4-/5).
Specifying the random effect structure in linear mixed effect models for analyzing psycholinguistic data

Linear Mixed Effect Models (LMEM) have become a popular method for analyzing nested experimental data, which are often encountered in psycholinguistics and other fields. This approach allows experimental results to be generalized to the greater population of both subjects and experimental stimuli. In an influential paper Bar and his colleagues (2013; https://doi.org/10.1016/j.jml.2012.11.001) recommend specifying the maximal random effect structure allowed by the experimental design, which includes random intercepts and random slopes for all within-subjects and within-items experimental factors, as well as correlations between the random effects components. The goal of this paper is to formally investigate whether their recommendations can be generalized to wider variety of experimental conditions. The simulation results revealed that complex models (i.e., with more parameters) lead to a dramatic increase in the non-convergence rate. Furthermore, AIC and BIC were found to select the true model in the majority of cases, although selection accuracy varied by LMEM random effect structure.
Berberine verses Sorafenib for the treatment of Hepatocellular carcinoma

*Corresponding author: Phiri Margaret, Department of Pharmaceutical Analysis, China Pharmaceutical University, 24 Tongjiaxiang, Nanjing 210009, China; E-mail: maggie82dfb@yahoo.com Abstract Traditional Chinese medicine as Complimentary Alternative Medicine (CAM) is useful in the treatment of chronic diseases including Cancer. Studies have shown components in plants responsible for their synergic effect and, analysis has revealed multiple components of plants that work synergistically to produce useful toxic effect against hepatocellular carcinoma of which a single conventional drug cannot produce. Different types of medicines have been discovered for HCC, but, a compiled quantitative analysis of these compounds will influence clinicians and researchers decisions about their use, research methodology to yield new drugs and most importantly, it can reduce research cost and time. 80% of the general population in the world are using plants to treat several illnesses and about 25% of the drugs prescribed worldwide come from plants. Sorafenib has been the drug of choice for over 10 years for the treatment of Hepatocellular Carcinoma patients of which Berberine a Traditional Chinese Medicine has also shown to be effective. This review in campuses articles obtained from western and Chinese journal data base. In conclusion, TCM has a vast number of components that can be used as alternative novel compounds in cancer treatment. Alkaloid Berberine has components that can be utilized to circumvent Hepatocellular Carcinoma when used in combination.
Ω-soft sets and medical decision-making application

Pythagorean Fuzzy Set is a generalization of the Intuitionistic Fuzzy Set. Therefore, in real-life problems for uncertainty, the decision-making mechanism in Pythagorean Fuzzy Sets outcomes better than Intuitionistic Fuzzy Set decision-making. For undefined objects, Soft Set is a new approach. Pythagorean Fuzzy Soft Set is deriving with the combination of Pythagorean Fuzzy Set and Soft Set. In this work, we will define the Pythagorean Fuzzy Parametrized Pythagorean Fuzzy Soft Set(Ω-Soft Set) and investigate some properties of the new set. The domain of the parameter function given in the new definition is a complete lattice. Selecting the domain of the Ω as a complete lattice allows us to solve some problems in the definitions and operations of the subset, union, and intersection. Besides, for Ω-Soft Set and other related concepts, we will present the decision-making problem solution as an application.