bluuebunny/crossref_metadata_2025 huggingface dataset:
PERBEDAAN SIKAP SISWA TERHADAP SAINS: STUDI BERDASARKAN LEVEL PENDIDIKAN DAN GENDER
Authors: Suryadi Ahmad , Mirnawati Mirnawati , Fadhilah Nur
Published: July 2020

Attitude toward science is believed as one of the factors that can influence student learning outcomes. Therefore, information related to students’ attitudes towards science is important. This study aims to determine the effect of different levels of education and gender on students’ attitudes towards science. Student attitudes toward science were measured using a questionnaire instrument with a Likert scale that was adapted to the My Attitude Toward Science (MATS) instrument. Data were analyzed by descriptive analysis and Mann-Whitney test. In general, the results of the study indicated students showed positive attitudes towards science. Mann-Whitney test results also showed that the level of education has a significant effect on students' attitudes towards science statistically [U=4259.5; p<0.05]. Meanwhile, statistically, gender differences significantly influence students' attitudes towards science [U=4384.0; p<0.05]. The implication of this study is teachers could consider these results when they want to design instruction. In addition, this result is also important to preservice science teachers at the level of junior high school and senior high school to know the characteristics of the students’ attitude.AbstrakSikap terhadap pelajaran sains dipahami sebagai salah satu faktor yang dapat memengaruhi hasil belajar siswa. Oleh karena itu, informasi terkait sikap siswa terhadap sains menjadi penting. Penelitian ini bertujuan untuk mengetahui pengaruh perbedaan level pendidikan dan gender terhadap sikap siswa terhadap sain. Sikap siswa terhadap sains diukur dengan menggunakan instrumen kuesioner dengan skala likert. Sikap siswa terhadap sains diukur dengan menggunakan instrumen My Attitude Toward Science (MATS). Data dianalisis dengan analisis deskriptif dan uji Mann-Whitney. Secara umum, hasil penelitian menunjukkan persepsi sikap siswa yang positif terhadap sains. Hasil Mann-Whitney test menunjukkan bahwa secara statistik, level pendidikan berpengaruh signifikan terhadap sikap siswa terhadap sains [U=4259,5; p<0,05]. Sementara itu, secara statistik, perbedaan jenis kelamin berpengaruh signifikan terhadap sikap siswa terhadap sains [U = 4384,0; p<0,05]. Guru dapat menjadikan hasil ini sebagai pertimbangan dalam merancang pembelajaran. Selain itu, hasil ini juga penting diketahui bagi calon guru sains pada tingkatan Sekolah Menengah Pertama (SMP) maupun Sekolah Menengah Atas (SMA) sebagai salah satu poin yang perlu diperhatikan dalam mengajar.Kata Kunci: Gender, Level Pendidikan, Sains, Sikap
Enhanced Luminescence and Mechanistic Studies on Mn-doped Double Layered Perovskite Phosphors: Cs4Mn1−xCdxBi2Cl12
Authors: Vargas Brenda , Reyes-Castillo Diana T. , Coutino-Gonzalez Eduardo , Sánchez-Aké Citlali , Ramos Carlos , Falcony Ciro , Solis-Ibarra Diego
Published: July 2020

Halide perovskites offer great promise for optoelectronic applications, but stability issues continue to hinder its implementation and long-term stability. The stability of all-inorganic halide perovskites and the inherent quantum confinement of low dimensional perovskites can be harnessed to synthesize materials with high PL efficiency. An example of such materials is the recently reported new family of layered double perovskites, Cs4Mn1−xCdxBi2Cl12. Herein, we report a new synthetic procedure that enhances the maximum PLQY of this family materials to up 79.5%, a 20% enhancement from previous reports and the highest reported for a Mn-doped halide perovskite. Importantly, stability tests demonstrate that these materials are very stable towards humidity, UV irradiation, and temperature. Finally, we investigated the photophysics, the effects of magnetic coupling and temperature in the PL efficiency and proposed a mechanism for the emission process. Our results highlight the potential of this family of materials and related layered all-inorganic perovskites for solid-state lighting and optoelectronic applications
Substructure-based Neural Machine Translation for Retrosynthetic Prediction
Authors: Ucak Umit , Kang Taek , Ko Junsu , Lee Juyong
Published: July 2020

This work presents a new template-free neural machine translation method for retrosynthetic reaction prediction by learning the chemical change at a substructural level. The proposed method effectively solves all the translation issues arising from SMILES-based representation of molecular structures.
Extensive Screening of Green Solvents for Safe and Sustainable UiO-66 Synthesis
Authors: Morelli Venturi Diletta , Campana Filippo , Marmottini Fabio , Costantino Ferdinando , Vaccaro Luigi
Published: July 2020

Zirconium based Metal-Organic Framework UiO-66 is to date considered one of the benchmark compound among stable MOFs and it has attracted a huge attention for its employment in many strategic applications. Large scale production of UiO-66 for industrial purposes requires the use of safe and green solvents, fulfilling the green chemistry principles and able to replace the use of N,N-Dimethyl-Formamide (DMF), which, despite its toxicity, is still considered the most efficient solvent for obtaining UiO-66 of high quality. Herein we report on a survey of about 40 different solvents with different polarity, boiling point and acidity, used for the laboratory scale synthesis of high quality UiO-66 crystals. The solvents were chosen according the European REACH Regulation 1907/2006 among those having low cost, low toxicity and fully biodegradable. Concerning MOF synthesis, the relevant parameters chosen for establishing the quality of the results obtained are the degree are the crystallinity, microporosity and specific surface area, yield and solvent recyclability. Taking into account also the chemical physical properties of all the solvents, a color code was assigned in order to give a final green assessment for the UiO-66 synthesis. Defectivity of the obtained products, the use of acidic modulators and the use of alternative Zr-salts have been also taken into consideration. Preliminary results lead to conclude that GVL (γ-valerolactone) is among the most promising solvents for replacing DMF in UiO-66 MOF synthesis.
Evaluation of in vitro release kinetics of Capsaicin-loaded chitosan nanoparticles using DDSolver
Authors: Narissara Kulpreechanan  , Feuangthit Niyamissara Sorasitthiyanukarn
Published: July 2020

The present aim is to evaluate the release profile and its release kinetics of encapsulated capsaicin from chitosan nanoparticles using the software DDSolver. The release study was performed by using a dialysis technique in PBS solutions with different pHs (1.2, 6.8 and 7.4) to mimics the different gastrointestinal tract and circulatory system pH ranges as a releasing medium. The nanoparticles were prepared using o/w emulsification and ionotropic gelation technique under optimal condition obtained from response surface methodology (RSM) design as described in our previous study. These nanoparticles were around 180 nm in average hydrodynamic size and encapsulation efficiency percentage around 70%, respectively. In vitro drug release study suggested that the chitosan nanoparticles can potentially use to controlled and sustained release of capsaicin over at least 96. The kinetic release analysis results by DDSolver software indicated that Weibull model was suggested to be the best dynamic models with highest R2adjusted and model selection criteria (MSC) and lowest Akaike information criterion (AIC), respectively, for capsaicin loaded chitosan nanoparticles. The release mechanism of capsaicin from nanoparticles was found to be Fickian diffusion. The results suggest that the chitosan nanoparticles can be applied for the controlled and sustained release of capsaicin in the gastrointestinal tract and circulatory system.
Mitochondrial spongiotic brain disease: astrocytic stress and harmful rapamycin and ketosis effect
Authors: Ignatenko Olesia , Nikkanen Joni , Kononov Alexander , Zamboni Nicola , Ince-Dunn Gulayse , Suomalainen Anu
Published: July 2020

Mitochondrial DNA (mtDNA) depletion syndrome (MDS) is a group of severe, tissue-specific diseases of childhood with unknown pathogenesis. Brain-specific MDS manifests as devastating spongiotic encephalopathy with no curative therapy. Here, we report cell type–specific stress responses and effects of rapamycin treatment and ketogenic diet (KD) in mice with spongiotic encephalopathy mimicking human MDS, as these interventions were reported to improve some mitochondrial disease signs or symptoms. These mice with astrocyte-specific knockout of Twnk gene encoding replicative mtDNA helicase Twinkle (TwKOastro) show wide-spread cell-autonomous astrocyte activation and mitochondrial integrated stress response (ISRmt) induction with major metabolic remodeling of the brain. Mice with neuronal-specific TwKO show no ISRmt. Both KD and rapamycin lead to rapid deterioration and weight loss of TwKOastro and premature trial termination. Although rapamycin had no robust effects on TwKOastro brain pathology, KD exacerbated spongiosis, gliosis, and ISRmt. Our evidence emphasizes that mitochondrial disease treatments and stress responses are tissue- and disease specific. Furthermore, rapamycin and KD are deleterious in MDS-linked spongiotic encephalopathy, pointing to a crucial role of diet and metabolism for mitochondrial disease progression.
A time-resolved interaction analysis of Bem1 reconstructs the flow of Cdc42 during polar growth
Authors: Grinhagens Sören , Dünkler Alexander , Wu Yehui , Rieger Lucia , Brenner Philipp , Gronemeyer Thomas , Mulaw Medhanie A , Johnsson Nils
Published: July 2020

Cdc42 organizes cellular polarity and directs the formation of cellular structures in many organisms. By locating Cdc24, the source of active Cdc42, to the growing front of the yeast cell, the scaffold protein Bem1, is instrumental in shaping the cellular gradient of Cdc42. This gradient instructs bud formation, bud growth, or cytokinesis through the actions of a diverse set of effector proteins. To address how Bem1 participates in these transformations, we systematically tracked its protein interactions during one cell cycle to define the ensemble of Bem1 interaction states for each cell cycle stage. Mutants of Bem1 that interact with only a discrete subset of the interaction partners allowed to assign specific functions to different interaction states and identified the determinants for their cellular distributions. The analysis characterizes Bem1 as a cell cycle–specific shuttle that distributes active Cdc42 from its source to its effectors. It further suggests that Bem1 might convert the PAKs Cla4 and Ste20 into their active conformations.
Implementation of Use of Self-Protective Equipment in Providing Protection for Health Care Workers in Hospital X Bantul
Authors: Syam Nur Syarianingsih , Sari Selvi Novita , Hastuti Siti Kurnia Widi
Published: July 2020

The hospital is a workplace that has a high risk to the safety and health of human resources (HR) in the hospital. Control of sources and potential hazards in hospitals can be done with the use of personal protective equipment (PPE). PPE consists of gloves, masks, face/eye protection, protective gowns, and leg protectors. The purpose of this study was to evaluate the use of PPE in nurses at Hospital X Bantul District. This study used a qualitative descriptive method with a case study design. Data collection uses interview guidelines with 5 informants and the observation of 30 health workers. The sampling technique uses purposive sampling. Evaluation of the level of PPE use in nurses in good categories namely gloves as many as 24 health workers (100%), masks 30 (100%), no activities were found with indications of the use of goggle, protective gown/apron 15 officers (100%), gaiters 15 officers (100%) and 15 nurses (100%) headcovers. This is supported by policies and SOPs for the use of PPE and guidelines for nursing actions, human resources (HR), namely nurses who have received socialization and training, hospital funds related to the availability of PPE and training, the availability of PPE according to indications of action and the existence of supervision conducted by IPCLN and PPI teams in Operation room unit, inpatient room, and CSSD. Conclusion of this research was found not all health workers have appropriate and compliant behavior in the use of PPE in each unit.
Quantile Regression Approach to Model Censored Data
Authors: Sarmada Sarmada , Yanuar Ferra
Published: July 2020

Abstract

The censored quantile regression model is derived from the censored model. This method is used to overcome problems in modeling censored data as well as to overcome the assumptions of linear models that are not met. The purpose of this study is to compare the results of the analysis of the quantile regression method with the censored quantile regression method for censored data. Both methods were applied to generated data of 150, 500, and 3000 sample size. The best model is then chosen based on the smallest absolute bias and the smallest standard error as an indicator of the goodness of the model. This study proves that the censored quantile regression method tends to produce smaller absolute bias and a smaller standard error than the quantile regression method for all three group data specified. Thus it can be concluded that the censored quantile regression method could result in acceptable model for censored data.

 

Keywords: Censored data; quantile regression; quantile regression censored; standard error; absolute bias.
The improvement of uncertainty measurements accuracy in sensor networks based on fuzzy dempster-shafer theory
Authors: Azimirad Ehsan , Movahhed Ghodsinya Seyyed Reza
Published: July 2020

Threat Assessment is one of the most important components in combat management systems. However, uncertainty is one of the problems that occur in the input data of these systems that have been provided using several sensors in sensor networks. In literature, there are some theories that state and model uncertainty in the information. One of the new methods is the Fuzzy Dempster-Shafer Theory. In this paper, a model-based uncertainty is presented in the air defense system based on the Fuzzy Dempster-Shafer Theory to measure uncertainty and its accuracy. This model uses the two concepts naming of the Fuzzy Sets Theory, and the Dempster-Shafer Theory. The input parameters to sensors are fuzzy membership functions, and the basic probability assignment values are earned from the Dempster-Shafer Theory. Therefore, in this paper, the combination of two methods has been used to calculate uncertainty in the air defense system. By using these methods and the output of the Dempster-Shafer theory are calculated and presented the uncertainty diagrams. The advantage of the combination of two theories is the better modeling of uncertainties. This makes that the output of the air defense system is more reliable and accurate. In this method, the air defense system’s total uncertainty is measured using the best uncertainty measure based on the Fuzzy Dempster-Shafer Theory. The simulation results show that this new method has increased the accuracy to 97% that is more computational toward other theories. This matter significantly increases the computational accuracy of the air defense system in targets threat assessment.
Hybrid deep neural network for Bangla automated image descriptor
Authors: Jishan Md Asifuzzaman , Mahmud Khan Raqib , Azad Abul Kalam Al , Alam Md Shahabub , Khan Anif Minhaz
Published: July 2020

Automated image to text generation is a computationally challenging computer vision task which requires sufficient comprehension of both syntactic and semantic meaning of an image to generate a meaningful description. Until recent times, it has been studied to a limited scope due to the lack of visual-descriptor dataset and functional models to capture intrinsic complexities involving features of an image. In this study, a novel dataset was constructed by generating Bangla textual descriptor from visual input, called Bangla Natural Language Image to Text (BNLIT), incorporating 100 classes with annotation. A deep neural network-based image captioning model was proposed to generate image description. The model employs Convolutional Neural Network (CNN) to classify the whole dataset, while Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) capture the sequential semantic representation of text-based sentences and generate pertinent description based on the modular complexities of an image. When tested on the new dataset, the model accomplishes significant enhancement of centrality execution for image semantic recovery assignment. For the experiment of that task, we implemented a hybrid image captioning model, which achieved a remarkable result for a new self-made dataset, and that task was new for the Bangladesh perspective. In brief, the model provided benchmark precision in the characteristic Bangla syntax reconstruction and comprehensive numerical analysis of the model execution results on the dataset.
Effect of Yellowstripe scad (Selaroides leptolepis) protein hydrolysate in the reduction of oil uptake in deep-fried squid
Authors: Hau E.H. , M.A. Amiza , Mohd Zin Z. , Shaharudin N.A. , Zainol M.K.
Published: July 2020

Although the fried products are delicious with a tenderizing effect on the crust due to the
presence of fat, over-consumption of fried products causes health problems, especially
coronary diseases. The tendency of proteins in film formation and thermal gelation to
reduce the absorption of oil in fried products is emphasized. The purpose of this study was
to determine the reduction of oil in deep-fried squid by the incorporation of protein
hydrolysate and to discuss its effect. Yellowstripe scad protein hydrolysate was produced
using Alcalase® enzyme. Fat content was determined using the Soxhlet method,
subsequently substituted into a formulation for oil uptake calculation. The viscosity of
batter was determined using a rheometer. The viscosity of the batter and batter pick-up
was found to be directly proportional, showing a significantly reduced pattern from 0 to
20%. Incorporating 10% of fish protein hydrolysate successfully decreased oil absorption
by 17.35±0.73% with a good water retention rate of 38.46%. The addition of the
Yellowstripe scad fish protein hydrolysate modified the size and shape of the pore.
Sensory acceptance portrayed no significant difference among the three samples (0%, 5%
and 10% of incorporation), indicating that panellists were able to accept samples
incorporated with fish protein hydrolysate. The findings of this study showed that
Yellowstripe scad protein hydrolysate can minimize the uptake of oil in fried seafood
products and thus could increase the economic value of the Yellowstripe scad fish.
SchottRoadmaptoVirtualFieldtripsFinal Project Report.pdf
Authors: Schott Christian
Published: July 2020

Fieldtrips are an important pedagogic tool for a range of disciplines. Indeed the pedagogic value of

experiential and situated learning was already promoted in the 1940s by the educational philosopher

John Dewey (1968). It is widely recognised that such trips allow students to benefit from the rich

experiential learning such endeavours entail and that situated learning environments assist in

crystallising learning outcomes (Jakubowski, 2003; Scarce, 1997).

However, today’s university environments are resource-constrained and traditional residential

fieldtrips have become less common. In response, we propose that the concept of ‘virtual’ fieldtrips

presents a potentially powerful tool, which if designed and applied appropriately, might replicate

some aspects of the ‘real’ fieldtrip experience. A virtual fieldtrip attempts to recreate aspects of the

real world in digital format where assignments and tasks similar in nature to those set in the

residential fieldtrip environment would be applied (virtual fieldwork). During the virtual fieldtrip

the student (in the form of an avatar) is digitally immersed into the social, cultural, economic and

environmental landscapes that ‘make’ places – something which is only possible at present through

residential fieldtrip activity. While this project does not propose that traditional residential fieldtrips

can be replaced by virtual fieldtrips, we believe students going on a virtual fieldtrip and conducting

virtual fieldwork are exposed to at least some of the valuable nuances of ‘real’ fieldwork.

In particular, in disciplines such as Tourism Management and Geography the value and indeed need

for these forms of situated and experiential learning is well established, however, the concept of

virtual fieldtrips also offers valuable learning environments for other disciplines. It is important to

note here that virtual reality software such as Second Life has been used by educational institutions

for many years, with the most frequent use for role play-based learning; for an overview of different

educational uses of Second Life see this document

http://piensl.pbworks.com/f/slliteraturereviewa1.pdf by Salt, Atkins, Blackall (2008). However, the

concept of virtual fieldtrips and the related student task of virtual fieldwork is shown by the

literature to be a novel use of virtual reality software; and the experience of developing such a

learning tool is thus worth researching and sharing.
Some Localization of the Zeros of the Third Derivatives of a Complex Polynomial the Disks or Generalized Cardioid Interioriors
Authors: Stoyanov Todor Stoyanov
Published: July 2020

In this paper, we localize the zeros of the third derivatives of a complex polynomial in some sets. These sets are relevant to the first, second and third derivative of the polynomial, and they are respectively disks and cardioid interiors or generalized cardioid interiors. Here, for the first time we consider generalized cardioids, as the areas of zeros.
Efficient Zero Ring Labeling of Graphs
Authors: Chua Dhenmar Enriquez , CampeÃ±a Francis Joseph Hernandez , Franco Floresto
Published: July 2020

A zero ring is a ring in which the product of any two elements is zero, which is the additive identity. A zero ring labeling of a graph is an assignment of distinct elements of a zero ring to the vertices of the graph such that the sum of the labels of any two adjacent vertices is not the zero element in the ring. Given a zero ring labeling of a graph, if the cardinality of the set of distinct sums obtained from all adjacent vertices is equal to the maximum degree of the graph, then the zero ring labeling is efficient. In this paper, we showed the existence of an efficient zero ring labeling for some classes of trees and their disjoint union. In particular, we showed that an efficient zero ring labeling exists for some families of the following classes of trees: path graphs, star graphs, bistars, centipede graphs, caterpillars, spiders, lobsters, and rooted trees. We also showed results for other common classes of graphs.
Scenario Tree and Adaptive Decision Making on Optimal Type and Timing for Intervention and Social-economic Activity Changes to Manage the COVID-19 Pandemic
Authors: Nah Kyeongah , Chen Shengyuan , Xiao Yanyu , Tang Biao , Bragazzi Nicola , Heffernan Jane , Asgary Ali , Ogden Nicholas , Wu Jianhong
Published: July 2020

We introduce a novel approach to inform the re-opening plan followed by a postpandemic lockdown by integrating a stochastic optimization technique with a disease transmission model. We assess Ontarios re-opening plans as a case-study. Taking into account the uncertainties in contact rates during different re-opening phases, we find the optimal timing for the upcoming re-opening phase that maximizes the relaxation of social contacts under uncertainties, while not overwhelming the health system capacity before the arrival of effective therapeutics or vaccines.
Self Efficacy, Conscientiousness dan Employee Engagement
Authors: Etik Darul Muslikah  , Sofiah Diah , Prasetyo Yanto
Published: July 2020

This study aims to find out the correlation between self efficacy and conscientiousness with employee engagement. The hypothesis in this study is that there is a relationship between self efficacy and conscientiousness with employee engagement. This research is included in the type of quantitative non-experimental research. This research took place in St. Hospital. Vincentius a Paulo Surabaya. As for the subjects of the study were employees or employees of all sections in the St. Hospital. Vincentius a Paulo. It is known that the population residing in the St. Vincentius a Paulo is 1255 employees. This population has the characteristics of executing-level employees and permanent employees. In determining the number of subjects, researchers used the determination of subjects according to Slovin's opinion, then determined the research subjects to be extracted data in this study as many as 95 people. The analysis shows the correlation coefficient (r) of 0.815 with a significance level (p = 0.000). The results of this study are that there is a correlation between self efficacy and conscientiousness with employee engagement, so the hypothesis submitted is accepted.
BLINDNESS AND REHABILITATION CONCERNS AMONGST PUPILS OF A SPECIAL EDUCATION CENTRE IN SOUTHWESTERN NIGERIA
Authors: O.O Dr. Jagun , M.A Dr. Akinola , O.O Dr. Betiku , O.F Dr. Salami
Published: July 2020

Background: Blind Children require access to quality rehabilitation services to optimize function and reduce their disabilities. This may be difficult if competent educators are not available in special education centers in developing countries.

Method: A prospective study carried out on consenting parents and pupils at a special education center in South western Nigeria.

Results: Sixty two blind eyes from 31 participants were examined. 25.8% [16] had Optic atrophy, 16.1% [10] had complicated cataracts, 12.9% [8] had Cornea related blindness, 9.7% [6] had End stage Glaucoma, another 9.7% [6] had Phthisis bulbi while the last 25.85% [16] were classified as Others. 94.1% of the educators had undergone Special educational training over the last 20 years but only 11[64.7%] had attended any refresher course over the last 5 years to update theirs teaching skills and only 11.8% had easy assess to Online study materials for research and training. Academic skills were taught by all teachers with all students being able to read and write in Braile but recreational skills were least taught in the school.

Conclusion: A need for strong Governmental and Non-governmental advocacy to support training of Special educators and to integrate parental education in the Rehabilitation process.
MANAGEMENT OF SUPERVISORS MADRASAH IN QUALITY IMPROVEMENT MADRASAH ALIYAH IN JAMBI PROVINCE (ANALYSIS OF PAI SUBJECT SUPERVISORS AT MADRASAH ALIYAH)
Authors: Khairinal  , Chatib Adrianus , Julis Dailami
Published: July 2020

Good supervision will create the professionalism of teachers in learning so as to produce good learning achievements and then produce good graduate competencies. The main questions in this dissertation research are: why is the management of supervisors in improving the quality of madrasah education at MAN / MAS Jambi City, Muaro Jambi District, East Tanjung Jabung Regency and Kerinci District?

This study uses descriptive qualitative research methods with sampling techniques carried out by purposive sampling. The subjects of this study were the Aliyah Madrasah Supervisor as the key informant, while the Head of the Madrasah Education Division, the City / District Ministry of Religion, the Head of the Aliyah Madrasah, and the teacher as the informant. Furthermore, the technique of collecting data using interviews, observations and documentation studies. Data analysis using flow data analysis models include: data collection, data reduction, data presentation, and conclusion drawing.

The results of this study found that first, the management of supervisors in Madrasah Aliyah has not been done optimally. Madrasah Aliyah supervisors have not yet made detailed monitoring plans based on their time period or period of work. Second, the internal factors that have not been optimal for Islamic Education supervisors in improving the quality of education in Aliyah Madrasah are as follows: 1) Lack of supervisory competence, 2) Low supervisory resources, 3) Lack of supervisory motivation, 4) Lack of supervisory commitment. While external factors have not been optimal, supervisors in improving the quality of Aliyah Madrasah are as follows: 1) Supervisory recruitment. 2) Effect of government policy. 3) Lack of support from the Ministry of Religion. Third, the efforts of Aliyah Madrasah supervisors in improving the quality of education are: 1) Enhancing supervisory abilities. 2) Supervision of supervisor performance, 3) Support from the Ministry of Religion. Fourth, models of supervisors who supervise the madrasa.

The implication of this research is that the management of supervisors in improving the quality of the Aliyah Madrasah in Jambi Province is reviewed through the application of management functions carried out by the Head of the Ministry of Religion Office, starting from the planning process to the work assessment. The results of this study are recommended to various parties as follows: first, it is expected that the Provincial Ministry of Religion Office as a competent party to supervise the performance of the Aliyah Madrasah supervisors, secondly, it is expected that the head of madrasah proactively assists supervisors in supervising teachers in Madrasah , thirdly the community is demanded cooperation with supervisors in improving the quality of madrasa teachers.
Implementing a Three-Tiered Service Model for Knowledge Syntheses at an Academic Teaching Hospital
Authors: Yang Linda , Orchanian-Cheff Ani , Anderson Melanie , Farrell Ashley , Tripp Tim
Published: July 2020

With increasing interest in publishing systematic reviews and other syntheses comes increasing numbers of researchers who want to perform a synthesis, but are unfamiliar with the rigorous methods and requirements of this kind of review.  In response to increasing demand, and problems observed in working with researchers new to knowledge synthesis, UHN Library and Information Services designed and implemented a new Knowledge Synthesis Service model to meet the demand while providing an opportunity to educate researchers about guidelines for KS methodology and reporting standards, as well as a mechanism for librarians to control the information published about the search methods, and withdraw from projects that do not meet standards.
LibWizard (Product Review)
Authors: Miller Lukas
Published: July 2020

LibWizard is a form, survey, and tutorial toolkit from Springshare with a simple and easy to use interface. It is a simple solution for instructional and assessment needs, and complements Springshare's already existing suite of products and features.
Harta Bersama Dalam Perkawinan Menurut Hukum Islam Dan Hukum Positif
Authors: Hyma Puspytasari Heppy
Published: July 2020

Perkawinan merupakan berkumpulnya dua insan yang semula terpisah dan berdiri sendiri, menjadi satu kesatuan yang utuh dan bermitra. Berdasarkan QS An Nisaa : 34 tersebut diatas,  pihak laki-laki lah yang mempunyai kewajiban menafkahi keluarga. Diambil pemahaman bahwa yang dimaksud dengan harta bersama itu bukanlah harta kesatuan antara suami dan istri tetapi merupakan harta dari suami yang dipergunakan untuk kepentingan seluruh keluarga. Apabila si istri juga berpenghasilan, penghasilan itu bukan merupakan bagian dari harta bersama. Permаsаlаhаn hаrtа bersаmа sering kаli kurаng mendаpаt perhаtiаn yаng seksаmа dаri аhli hukum, terlebih lаgi mаsyаrаkаt mаsih memаndаng sebelаh mаtа permаsаlаhаn ini. Pаsаngаn suаmi istri biаsаnyа bаru mempersoаlkаn pembаgiаn hаrtа bersаmа setelаh аdаnyа putusаn percerаiаn dаri pengаdilаn. Bаhkаn dаlаm setiаp proses pengаdilаn sering terjаdi keributаn tentаng pembаgiаn hаrtа bersаmа sehinggа kondisi tersebut kiаn memperrumit proses percerаiаn di аntаrа merekа kаrenа mаsing-mаsing sаmа-sаmа mengklаim bаhwа hаrtа tersebut merupаkаn hаk merekа. Pаdаhаl hаrtа bersаmа merupаkаn mаsаlаh yаng sаngаt besаr dаlаm kehidupаn suаmi istri.  Metode penelitiаn yаng digunаkаn Peneliti dаlаm penelitiаn ini аdаlаh penelitiаn hukum normаtif аtаu doktrinаl.Penelitiаn hukum doktrinаl yаng disebut jugа sebаgаi penelitiаn perpustаkааn аtаu studi dokumen kаrenа penelitiаn ini dilаkukаn аtаu ditujukаn hаnyа pаdа perаturаn-perаturаn yаng tertulis аtаu bаhаn-bаhаn hukum yаng lаin. Kesimpulan yang dihasilkan meliputi Filosofi Harta Bersama Dalam Perkawinan adalah bahwa hukum Islam tidak mengenal adanya harta Bersama karena dalam hukum Islam tidak dikenal adanya percampuran kekayaan antara suami dan istri. Di Indonesia harta Bersama dikenal melalui hukum adat yang kemudian diterapkan secara terus menerus menjadi hukum yang tidak mungkin disingkirkan karena nilai maslahatnya lebih besar dari mudhorotnya.Serta Pengaturan harta Bersama dalam perkawinan di Indonesia didasarkan pada ketentuan pengaturan harta dalam perkawinan menurut UU Perkawinan maupun Kompilasi Hukum Islam. Sekaligus KUHPerdata
O pokopanim vojnicima na varaždinskom groblju između dva svjetska rata
Authors: Huzjan Vladimir
Published: July 2020

U radu autor piše o pokopanim vojnicima srpske nacionalnosti na varaždinskom groblju između Prvog i Drugog svjetskog rata. Od ukupnog broja pokopanih vojnika srpske nacionalnosti gotovo svi su bili vojnici Kraljevine SHS/Jugoslavije. Podaci su preuzeti iz knjiga Grobni očevidnik (1919.-1939.) i Grobni očevidnik (1940.-1949.) koje čuva gradska komunalna tvrtka Parkovi d. d. Za svakog pojedinog vojnika poznat je identitet, a popis se nalazi u prilogu.
Digitalna istorija: geneza, oblici i perspektive
Authors: Škodrić Ljubinka , Petrović Vladimir
Published: July 2020

Članak se bavi genezom, oblicima i perspektivama razvoja digitalne istorije, nove naučne discipline nastale primenom informacionih tehnologija u istraživanju prošlosti. Tokom poslednjih 25 godina, digitalna istorija se razvila u prepoznatljivu, mada ne i jasno definisanu disciplinu, koja transformiše istorijsku nauku. Razmatraju se promene koje digitalizacija donosi, od strukture istorijskih izvora, njihovog prikupljanja i obrade, do analize sadržaja, tehnike istorijskih istraživanja i predstavljanja njihovih rezultata. Dinamičan, ali i nejednak razvoj u ovoj oblasti ilustruje se nizom primera, uz nastojanje da se kritički sagledaju mogućnosti i ograničenja digitalne istorije, ali pre svega da se doprinese njenom ovladavanju.
The European Repo Market, ECB Intervention and the COVID-19 Crisis
Authors: Billio Monica , Costola Michela , Mazzari Francesco , Pelizzon Loriana
Published: July 2020

During the COVID-19 crisis, the combined effect of ECB communications, concerns on sovereigns’ stability, illiquidity and market expectations led to a flight to quality. This produced a sell-off of peripheral sovereign bonds that drove the repo rates of core and peripheral countries out-of-sync. Two ECB announcements affected the repo market, namely (i) the Press Conference of the ECB Governing Council on March 12, 2020 and (ii) the announcement of a €750 billion Pandemic Emergency Purchase Program (PEPP). These two announcements had heterogeneous effects in the European repo market which we shall investigate.
The Effects of the COVID-19 Pandemic Through the Lens of the CDS Spreads
Authors: Andrieș Alin Marius , Ongena Steven , Sprincean Nicu
Published: July 2020

In this paper we are analysing the impact of the general lockdown measures imposed in Italy in the context of the COVID-19 pandemic on European banks’ CDS spreads. Compared to the impact of the COVID-19 pandemic on sovereign risk, we find little evidence of increased bank risk following the event. However, investors’ reaction was clearly negative in longer time frames. In addition, we quantify the feedback loop between sovereign and bank risk and document an increased interconnectedness between sovereigns and banks during the current health crisis, however with a smaller magnitude comparing to the sovereign debt crisis. Banks are now more resilient to shocks, being a direct consequence of the post-crisis regulatory framework.
The COVID-19 Challenge to European Financial Markets
Authors: Borri Nicola
Published: July 2020

The COVID-19 pandemic has sickened more than 10 million people around the world and killed at least 500,000. In this chapter, we focus on the experience of Italy, which is the first country hit by the virus in Europe. While the lockdown measures appear to have successfully contained the virus, the economic consequences have been very severe. Policy makers should study the Italian experience to evaluate the cost-benefit effectiveness of different policies in containing the pandemic.
Artificial Intelligence and Data Analytics in Digital Business Transformation Before, During and Post COVID-19
Authors: Guo Hua , Liu Kecheng
Published: July 2020

Business activities have become highly dependent on the functions that digital technologies offer. The role and critical value of digital technologies such as artificial intelligence and data analytics are clearly witnessed during the COVID-19 pandemic. It is hard to just imagine what the world would become if there were no Internet and digital technologies during these times. The trend and potential value of artificial intelligence and data analytics to leverage and transform organisations are explored, with challenges identified and directions offered to make businesses ready to embrace future unknowns.
The Development of Translation Skills and the Use of Translation in FL Teaching
Authors: Pergola Ruggiero
Published: July 2020

In everyday communication, both in specialized and non-specialized contexts, translation plays a pivotal role. Although it was considered an outsider in language teaching for decades, translation has now been rehabilitated and should now be considered a major component for language teachers and students. This paper addresses the development of translation competence and the use of translation in teaching and learning modern languages and analyses the main theories and models which describe the acquisition of translation competence in translation training.
Усиление противовоспалительного и анальгетического эффекта диклофенака натрия при его применении в комбинации с мексидолом в эксперименте на грызунах
Authors: Иванова Елена Анатольевна , Васильчук Анастасия Геннадьевна , Матюшкин Александр Иванович , Воронина Татьяна Александровна
Published: July 2020

Цель исследования — оценка противовоспалительной и противоболевой активности комбинации диклофенака натрия и мексидола при однократном внутрибрюшинном введении в опытах на грызунах. Установлено, что на моделях каррагенанового отёка у крыс и уксусного перитонита у мышей комбинация диклофенака натрия в дозе 5 мг/кг и мексидола в дозе 100 мг/кг проявляет антиэкссудативное действие, по выраженности не уступающее действию диклофенака натрия в дозе 10 мг/кг. На модели термической гипералгезии у крыс с каррагенановым отёком задней лапы комбинация диклофенака натрия в дозе 5 мг/кг и мексидола в дозе 100 мг/кг увеличивает латентный период отдёргивания лапы в ответ на сфокусированный луч инфракрасного света в подошвенном тесте; этот эффект сопоставим с эффектом диклофенака натрия в дозе 10 мг/кг. Диклофенак натрия в дозе 5 мг/кг значимого действия на термическую гипералгезию у крыс с каррагенановым отёком лапы не оказывает.
Applying Servant Leadership in a Telehealth Environment
Authors: Eagen Allison
Published: July 2020

This article presents an application of servant leadership to respond to the global pandemic, COVID-19.  The application of servant leadership is applied to the telehealth environment and healthcare delivery.
Explore different methods to build Multi-Sense Embeddings
Authors: Sugiyama Masashi
Published: July 2020

In this last work, we did a exclusive survey related to multisense embeddings building methods. In this work, we extend our previous work and try to improve the current methods. Recently, word embeddings have been used in many natural language processing problems successfully and how to train a robust and accurate word embedding system efficiently is a popular research area. Since many, if not all, words have more than one sense, it is necessary to learn vectors for all senses of word separately. Therefore, in this project, we have explored two multi-sense word embedding models, including Multi-Sense Skip-gram (MSSG) model and Non-parametric Multi-sense Skip Gram model (NP-MSSG). Furthermore, we propose an extension of the Multi-Sense Skip-gram model called Incremental Multi-Sense Skip-gram (IMSSG) model which could learn the vectors of all senses per word incrementally. We evaluate all the systems on word similarity task and show that IMSSG is better than the other models.
Choice boosts curiosity
Authors: Romero Verdugo Patricia , van Lieshout Lieke , de Lange Floris , Cools Roshan
Published: July 2020

In our connected era, we spend significant time and effort pursuing our curiosity. Often, we choose which information we seek, but on occasion, the selection is made for us. Hence, understanding whether and how choice influences curiosity is a key question. Prior evidence indicates that humans exhibit a preference for options they have freely chosen over equally valued options that they have not. Based on these findings, we hypothesized that we also exhibit enhanced curiosity in the context of choice compared with that of no-choice. To test this hypothesis, we designed a task in which participants saw two lotteries on each trial. On some trials, participants chose which lottery would be played. On other trials, the lottery was selected for them. Participants then indicated their curiosity about the outcome of the lottery that would be played in terms of self-report ratings (Experiment 1) or willingness to wait decisions (Experiment 2). As predicted, we found that participants exhibited higher curiosity ratings and higher willingness to wait for the outcome of lotteries they had chosen than for lotteries that had been selected for them (controlling for initial preference). These findings demonstrate that choice boosts curiosity, which may have implications for how to boost learning, memory, and motivation, for example in educational settings.
Mind the robot! Variation in attributions of mind to a wide set of real and fictional robots
Authors: Jacobs Oliver , Gazzaz Kamel , Kingstone Alan
Published: July 2020

The rapid rise of computing power over the last half-century has prompted the desire to understand and develop a paradigm of affective computing systems that can recognize, process, and simulate human features, including qualities like empathy and morality. Quantitatively comparing different computing systems in their abilities to simulate human qualities has been a major technical challenge. A recent framework put forth by Gray, Gray, and Wegner (2007) provides promise as a new means for comparing a wide landscape of different digital agents both real and fictional. Using this framework, we sought to investigate if attributions of mind towards robots suggests that people perceive robots as capable of emulating different degrees of mind. We asked participants to rate the agency (the ability "to do") and experience (the ability "to feel") of 24 characters made up of humans, robots, inanimate objects, and animals. Although robots were collectively rated much lower than humans on agency and experience, there was significant variation among robots (both real and well-known fictional robots). This implies that building digital agents to imitate aspects of experience is a fruitful avenue for future development. In addition, age was a critical factor in people’s attributions of agency and experience indicating that there may be a generational shift towards greater acceptance of robots’ ability to both do and feel.
Scan Once, Analyse Many: Using large open-access neuroimaging datasets to understand the brain
Authors: Madan Christopher R
Published: July 2020

We are now in a time of readily available brain imaging data. Not only are researchers now sharing data more than ever before, but additionally large-scale data collecting initiatives are underway with the vision that many future researchers will use the data for secondary analyses. Here I provide an overview of available datasets and some example use cases. Example use cases include examining individual differences, more robust findings, reproducibility--both in public input data and availability as a replication sample, and methods development. I further discuss a variety of considerations associated with using existing data and the opportunities associated with large datasets. Suggestions for further readings on general neuroimaging and topic-specific discussions are also provided.
How children interface number words with perceptual magnitudes
Authors: Dramkin Denitza , Odic Darko
Published: July 2020

How do children map symbolic number words to continuous and noisy perceptual magnitudes? We explore how 5- to 12-year-olds attach novel units to number, length, and area by examining whether verbal estimation performance is primarily predicted by access to number words, the precision of children’s underlying perceptual systems, or a more general process in structurally aligning number words with perceptual magnitudes. We find that from age five onward, children can readily form novel mappings between number words and perceptual magnitudes, including dimensions they have no experience estimating in (e.g., length, area), and even when faced with completely novel units (e.g., mapping a collection of three dots to “one” unit for number). Additionally, estimation performance was poorly predicted by the noise in their underlying perceptual magnitudes and number word access. Instead, we show that individual differences in children’s abilities to translate continuous perceptual signals into discrete categories underlie verbal estimation performance.
A Computational Approach to Homans Social Exchange Theory
Authors: Enayat Taha , Ardebili Mohsen Mehrani , Kivi Ramtin Reyhani , Amjadi Bahador , Jamali Yousef
Published: July 2020

How does society work? How do groups emerge within society? What are the effects of emotions and memory on our everyday actions? George Homans, like us, had a perspective on what society is, except that he was a sociologist. Homans theory, which is an exchange theory, is based on a few propositions about the fundamental actions of individuals, and how values, memory, and expectations affect their behavior. In this paper, our main interest and purpose are to find out whether these propositions can satisfy our conception of society and generate essential properties of it computationally. To do so, Based on Homans' prepositions, we provide the opportunity for each agent to exchange with other agents. That is, each agent transacts with familiar agents based on his previous history with them and transacts with newly found agents through exploration. One novelty of our work is the investigation of implications of the base theory while covering its flaws with minimal intervention; flaws which are inevitable in a non-mathematical theory. The importance of our work is that we have scrutinized the consequences of an actual sociological theory. At the end of our investigation, we propose another proposition to Homans theory, which makes the theory more appealing, and we discuss other possible directions for further research.