bluuebunny/crossref_metadata_2025 huggingface dataset:
Interventions in Addressing Gender Issues in the Classroom
Authors: Et. al. Gretchen Gaye C,
Published: April 2021

Gender equality is the number five agenda of the Sustainable Development Goal, where its primary goal is providing women and girls with equal access to education.  Up to this day, students experience gender issues, inequality, and bias inside the classroom. This research looked into the extent of observation on gender issues inside the classroom to eliminate bias, discrimination, and to achieve a comfortable classroom environment. More specifically, this research aimed to develop an intervention to address gender and development issues in the classroom. A Quantitative method of research was implemented using descriptive statistics to analyze data. Questionnaire was used to answer the specific problems; interview was conducted to validate the results of the study.  Random sampling technique identified the respondents of the study from selected colleges and universities in the Cordillera Region.  The extent of intervention programs, policies, and activities for teachers are moderately observed.
Campaign Effectiveness on Communication Engineering Behavior in Use of Sinovac Covid-19 Vaccine
Authors: Et. al. SRI DESTI PURWATININGSIH,
Published: April 2021

The spread of the Covid-19 virus in Indonesia is increasingly widespread and more than 1 million people have been infected with the Coronavirus. The Indonesian government is making various efforts to slow the spread and rate of the Coronavirus and one of them is by campaigning for the Sinovac vaccine. Various campaigns on the importance of vaccination as the most effective effort to prevent the Covid-19 pandemic from spreading have been carried out di Indonesia. This research uses a quantitative approach, with the nature of the research is explanatory research. This research method uses a survey research type. The population in this study were members of the Istiqomah Taklim Council, and the sample used in this study amounted to 30 people. Using non-probability sampling, with the Accidental Sampling technique. The results showed that the campaign effectiveness of using the Covid-19 Sinovac vaccine had a major or significant effect on people's behavior in receiving the vaccine.
Analysis of Dynamical Behavior for Epidemic Disease COVID-19 with Application
Authors: Et. al. Dr. Maysoon M. Aziz,
Published: April 2021

In this paper, we will use the differential equations of the SIR model as a non-linear system, by using the Runge-Kutta numerical method to calculate simulated values for known epidemiological diseases related to the time series including the epidemic disease COVID-19, to obtain hypothetical results and compare them with the dailyreal statisticals of the disease for counties of the world and to know the behavior of this disease through mathematical applications, in terms of stability as well as chaos in many applied methods. The simulated data was obtained by using Matlab programms, and compared between real data and simulated datd were well compatible and with a degree of closeness. we took the data for Italy as an application.  The results shows that this disease is unstable, dissipative and chaotic, and the Kcorr of it equal (0.9621), ,also the power spectrum system was used as an indicator to clarify the chaos of the disease, these proves that it is a spread,outbreaks,chaotic and epidemic disease .
Voice Controlled Personal Assistive Bot with Object Detection
Authors: Et. al. S. A. Sivasankari,
Published: April 2021

Currently innovation has made our lives simpler for individuals. Be that as it may, from this innovation, certain gatherings of individuals need more assistance and backing for old or handicap individuals. This innovation can make a method of having a typical life. Thus, we zeroed in on the idea of an individual colleague robot. The fundamental objectisto supply helptodebilitated people.ThisPerson alassistive Bot help to decrease the manual endeavors being put by people in their everyday errands. The intention is to execute a specialized work that is voice controlling one which can act as a PA that can performvarious errands or administrations for a person.This is uncommonly intended for this group of people asits primary reason for existing is to supply help to relate senior or debilitated individual. The human voice order is given to the mechanical right hand distantly,by utilizing a voice order.The automaton will perform different movements: Forward, Backward, Right, Left and start/stop activities. The robot can likewise peruse and perceive the letter sets and text and the words which are said by the person will check from the google dictionary and printasatext.The capability of the robotisto detect the objects and relocate the m from one place to another and includes the face recognition. So, our main ideology is to create a personal assistance bot, which is capable of handling small objects. We are planning to make the bot consisting of four wheels and an arm placed on top. Using Raspberry Pi, we are communicating the sensors and motors throughour voice commands. Smart assistants like Google for android,Sir ifor Apple,Corton a for Microsoft,the seassistive gives us a platform to communicate to a bot. Asweare programming on Python, Amodule name Pyaudio will helpto communicate with a bot and having the extra feature like ‘Speechto Text’.And we would like to add an extra feature like object and person detection. A Camera module will be installed for capturing video and recognize the Humans and objects carried out with Machine Learning Algorithm
The Use Of User Experience (UX) And Multimedia Project Management (MPM) To Produce Learning-Module Videos For Autism Children: A Post-Study Focus Group Session With Autism Caretakers
Authors: Et. al. Zaidatol Haslinda Abdullah Sani,
Published: April 2021

Autism is a condition where one has challenges in controlling their social skills and behaviours. Autism affects their communications with people surrounding them. WHO reports one in every 160 children has autism. Interventions are needed by the autism community to assists them in teaching the autism students and managing the autism centers. User Experience (UX) and Multimedia Project Management (MPM) are used to produce learning-module videos for autism children. An 8-week field study of a summative evaluation on the use of the video was conducted. A post-study focus group discussion was then discussed with three caretakers regarding the use of the video for 1) the students learning skills and for 2) the caretakers to teach the students. The findings show using MPM and UX for developing videos for autism children is positive for both questions. However, further investigation on the learning capability of the autism students can be explored.
Investigation of the Causes of Malfunctions of Special Electrical Equipment of Pumping Stations
Authors: Et. al. AyubjonVokhidov,
Published: April 2021

The task of this work was to consider the main technical parameters of pumping stations that affect the operating modes and the overall reliability of a special power supply system. Also, the technological processes of the irrigation pumping station were investigated and the analysis of mechanical and parametric characteristics, the causes of the asynchronous operation of mechanisms and the failure of the pumping units themselves was carried out. As a result of the work, a method for calculating the voltage drop was proposed, a new independent algorithm for calculating the static stability and the stability margin for the active power of special electrical equipment was developed.
Webpage Recommendation System Based on the Social Media Semantic Details of the Website
Authors: Et.al Dr. R.Rooba
Published: April 2021

The web page recommendation is generated by using the navigational history from web server log files. Semantic Variable Length Markov Chain Model (SVLMC) is a web page recommendation system used to generate recommendation by combining a higher order Markov model with rich semantic data. The problem of state space complexity and time complexity in SVLMC was resolved by Semantic Variable Length confidence pruned Markov Chain Model (SVLCPMC) and Support vector machine based SVLCPMC (SSVLCPMC) meth-ods respectively. The recommendation accuracy was further improved by quickest change detection using Kullback-Leibler Divergence method. In this paper, socio semantic information is included with the similarity score which improves the recommendation accuracy. The social information from the social websites such as twitter is considered for web page recommendation. Initially number of web pages is collected and the similari-ty between web pages is computed by comparing their semantic information. The term frequency and inverse document frequency (tf-idf) is used to produce a composite weight, the most important terms in the web pages are extracted. Then the Pointwise Mutual Information (PMI) between the most important terms and the terms in the twitter dataset are calculated. The PMI metric measures the closeness between the twitter terms and the most important terms in the web pages. Then this measure is added with the similarity score matrix to provide the socio semantic search information for recommendation generation. The experimental results show that the pro-posed method has better performance in terms of prediction accuracy, precision, F1 measure, R measure and coverage.
“A Study On The Sustainable Investment Funds With Sepcial Reference To State Bank Of India Esg Mutual Fund Shcemes”
Authors: Et.al Dr. A. Anis Akthar Sulthana Banu
Published: April 2021

Socially Responsible Investment (SRI) refers to the allocation of funds in certain practises that have a high social impact. It includes assessing businesses on the Environmental , Social and Governance (ESG) screens. A socially conscious investor may either invest directly in financial markets or through investment instruments such as mutual funds via ESG fund schemes. Very few of the numerous mutual fund organizations have implemented ESG Fund schemes to appeal to SRI investors. The SBI Mutual Fund is the first AMC to follow this and has been benchmarked against the Nifty 100 ESG indices. A correlation analysis is made among the results of the SBI Mutual Fund and the NIFTY to compare the four different types of SBI ESG funds and their sector wise participation in different industries. This research paper is methodological in nature as it interprets the published secondary data sources of the SBI Mutual Fund and the NIFTY indices. The goal of this paper is to assess the efficacy of the ESG Equity Fund in the investment portfolio of mutual fund investors and to enable small and medium-sized investors to contribute their money to ESG-driven mutual fund schemes.
Coral Reef Image Classification Employing Deep Features and A Novel Local Inter Cross Weber Magnitude (LICWM) Pattern
Authors: Et.al C.Padma Priya
Published: April 2021

Coral reefs are essential in marine ecosystem as they sustain a great part of marine life. The automatic classification of corals on submarine images is so much important in recent times. Hence, it can assist marine experts to classify endangered and susceptible coral reefs. But, classifying coral reef images is a promising task due to its varying color, texture, shape and morphology. The main objective of this work is to propose a novel operator called Local Inter Cross Weber Magnitude (LICWM) pattern. For classification, VGG–16 architecture is applied for extracting the features of coral reef images. VGG- 16 architecture has many layers for extracting deep features effectively. The traditional methods used K-Nearest Neighbor (KNN) and Random Forest (RF) for classifying deep features. The performance of the proposed method is estimated using F-score. The Experimental results show that the proposed operator achieves better accuracy level and performance with EILAT and RSMAS data sets.
A Study on The Characteristics Of Miniature Floating Holographic Form And Expression–Focusing On Outdoor Floating Cylindrical Hologram –
Authors: Et.al Eun-Seo Song
Published: April 2021

Purpose of this study is to research the floating type cylindrical hologram that can also be embodied in the outdoor. This study identifies the floating hologram and its type, and researches the applied form design and realization type based on floating hologram realization type. For the manufacturing of miniature hologram, the floating mirror is installed in cylinder to embody new hologram type out of existing hologram. For the design of cylinder, the polarizing filter is used to minimize the diffracted reflection, and air intake device, the fan is installed to minimize the problem of heat and humidity. The study was able to check if realistic content that can be installed in outdoor space is embodied by researching how to minimize the problem of outdoor cylinder floating hologram.
The Effects Of Antimicrobial And Physical Properties Of Denture Soft Reline Material
Authors: Et.al Yu-Ri Choi
Published: April 2021

Candida albicans(C. albicans) is one of the bacteria that resides in the oral cavity, and the ones living in medical and commercial denture resins, commonly cause diseases. Therefore, this study was conducted to confirm the antibacterial activity of C. albicans using a denture base resin containing peony extract with antibacterial properties.

For the antibacterial effect, optical density and confocal laser microscopy were used. Contact angle measurements and color change measurements were performed to confirm the physical change of the material added with the antibacterial agent to the denture reline resin.

As a result of the antibacterial test, the experimental group exhibited antibacterial activity against C. albicans. Compared to the optical density results, the results of the experimental group showed a significant difference. As a result of Fluorescent images showing (confocal laser microscope), the control group showed a lot of live bacteria, no bacteria appeared in the experimental group. All group did not show any physical changes. As a result of the contact angle measurement, the surface of the experimental group was changed to hydrophilic. In addition, there was no change in the color of the denture reline resin containing peony extract. In conclusion, it was confirmed that the peony extract contained antibacterial activity of the denture resin, and further studies should be conducted on various bacteria for denture base resin disinfection.
Deep Packet Filtering Mechanism for Secure Internetworks
Authors: Et.al Hyun Woo Kim and Eun
Published: April 2021

In this paper, we propose a Deep Packet Filtering Mechanism (DPFM) to analyze and filter malicious data packets moving between network environments. DPFM analyzes the behavior of malicious packets on the network and extracts information about the network as a sequence. After performing the word embedding process on the extracted sequence data using the word2vec technique, it detects malicious packets on the network by learning the LSTM model. In the past, research on filters to prevent malicious packets from entering the network by converting packets into data at the sending and receiving destinations and analyzing their purpose and maliciousness is insufficient. Since DPFM proceeds at the network boundary to analyze and extract malicious packets, primary detection is possible. In this paper, more accurate identification is possible by deep learning of network packets as well as OPcode and system calls, which are static analysis data.
Multiple Target Detection For OFDM Radar Based On Convolutional Neural Network
Authors: Et.al Jae-Woong Choi
Published: April 2021

The objective of this paper is to propose a multiple target identification technique for orthogonal frequency division multiplexing (OFDM) radars. First, a 2-D (range & Doppler) periodogram is obtained from the reflected signal through 2-D fast Fourier transform (FFT) of the received OFDM symbols. Usually, the peaks of the periodogram indicates the targets. Conventionally, peak search algorithms are used to find the multiple targets. In this paper, however, a convolutional neural network (CNN) classifier is proposed to identify the targets. The proposed technique does not need any additional information but the 2-D periodogram while the conventional method requires the noise variance as well as the periodogram. The performance is examined through computer simulation. According to the results, if the number of maximum identifiable targets are small, the proposed technique performs well. However, as the number increases, the detection accuracy decreases. In the simulation environments, the proposed method outperforms the conventional one. The proposed OFDM radar technique can be applied to 6G mobile communications to identify the moving targets around the transmitter without additional frequency resource for radar systems.
A Study on the Manufacturing of Molybdenum Pins for Electrodes
Authors: Lee Jeong-Ick
Published: April 2021

The molybdenum cup and molybdenum pin, which are the main materials of the molybdenum electrode used for the LCD BLU CCFL electrode, have not been developed in Korea and imported from Japan. In this paper, especially, research on prototype manufacturing and CAE analysis is performed to develop a molybdenum pin. In this research, to develop the manufacturing technology of molybdenum pin used for CCFL electrode of LCD BLU, development of linear processing technology, development of molybdenum wire surface treatment technology, development of wire cutting technology, production of molybdenum pin, design and fabrication of JIG and Fixture for inspection, molybdenum pin prototyping and analysis, and development of 100% molybdenum pin inspection technology. The development of molybdenum pins developed through this research can overcome Japan's technological level, which depends entirely on imports from Japan, and it is thought that the development will have a significant impact on the overall industry using molybdenum pins.
Design of Open Knowledge Platform Based On Knowledge Base Utilization Model And Service Scenario To Support Solutions Of Regional Issues
Authors: Et.al ChulSu Lim
Published: April 2021

Open knowledge platform can provide a purified knowledge base. Thus, we build a platform for several application areas in a cloud computing that supports APIs for various data based on a knowledge utilization model. The goal of this platform is to maximize the utilization of the knowledge base. In order to achieve this goal, we designed the structure of this platform as an open knowledge platform. The targets of the design are to maximize the utilization of data linkage, to expand it to national common knowledge and to increase its usability by providing services with knowledge graphs. In order to design the platform we identified users, information sources, and infrastructures. In the process, we found it is crucial to specify roles and services to the users of the platform. The requirements are induced from a utilization model and scenario of the service based on the knowledge graph. With the service scenario, stakeholders of the platform started narrow down function modules needed to support the service. One of the modules is a national common knowledge in the knowledge base, which provide essential connected knowledge to support solving regional problems of government such as earthquake, flooding. To increase the usability of data scattered by departments and agencies, data linkage, and knowledge between fragmented data sets is included in this platform.  Subsequently, we designed modules to support the effective utilization of this knowledge information. Also, we found that a cloud infrastructure instead of in-house hardware and software could provide flexible and compatible services for the platform. Moreover, the cloud system has advantages on big data analysis and distributed system interconnection. Utilization model and scenario-based process modeling provide a systematic approach to design an open knowledge platform that supports many required components enabling interoperability, compatibility, and connectivity among other knowledge bases..
Human Development Equally Important For Economic Development
Authors: Et. al. Dr. RK Arya,
Published: April 2021

Many States are failing to keep the momentum up in pushing the growth rate either because their social capacity is not up to the brim and people are struggling to get two ends meal. What the States are needed to keep continuing with investment at ever increasing rate and deal social priorities differently? There are many States which face the wrath of anti-incumbency every five years the reason for this larger section of the people remain untouched with the development schemes. It is their bad luck that neither did they get the benefit of moving up in the social hierarchy nor they are covered with some employment guarantee scheme. The vulnerability during the pandemic have further added the burden of making the people socially strong. Education and health both have gone through serious setback.
A Comparative Study on Presence of Candida Albicans in Oral Squamous Cell Carcinoma, Oral Dysplastic Lesions and Normal Oral Mucosa
Authors: Shahvali Farshad , Aminzadeh Atousa , Razavi Sayed Mohammad
Published: April 2021

Introduction: Candida Albicans, has been suggested as a possible etiologic factor in the development of leukoplakia and oral squamous cell carcinoma. The aim of this study was to evaluate and compare the presence of Candida Albicans in samples with histopathological diagnosis of squamous cell carcinoma and dysplasia with healthy oral mucosa.
Materials and Methods: This retrospective descriptive-analytical study was carried out on 30 samples in three groups (10 samples per group) with histopathological diagnosis of squamous cell carcinoma, epithelial dysplasia, and healthy mucosa. To identify Candida, used special PAS staining and a 400X optical microscope. The results of study analyzed with Fisher exact test with the 0.05 level of significance.
Results: In the group diagnose with squamous cell carcinoma, Candida Albicans was present in 90% of the samples. In the other two groups with epithelial dysplasia and normal epithelium, positive PAS staining of candida was observed in 50% and 60 % samples respectively. A significant statistical difference between the group of squamous cell carcinoma and the other two groups was observed in terms of amount of Candida Albicans present in the samples. (p value < 0.05), however there was no such significant between the group with epithelial dysplasia samples and the one with normal epithelium samples (p value > 0.05).
Discussion and conclusion. According to the results of present study and the results of previous studies, it can be concluded that Candida Albicans probably plays a role not as an etiological factor but as a factor leading to epithelial malignancies. We recommend more studies to be carried out on this topic.
The Effect of Psychologic Contract on Job Satisfaction and Intention to Leave: The Case of a Public University
Authors: ERYEŞİL Kemaleddin , TAŞPINAR Yasin
Published: April 2021

The aim of this study aims to investigate the effect of psychological contract perception on employees' job satisfaction and their intention to leave distinctly from the related literature. In parallel with the context, the researchers have conducted a field study with the participation of 153 research assistants from a public university. SPSS (Statistical Package for Social Sciences) program is used for analysing the obtained data. The data shows that demographic factors of education and academic field of study are effective on the psychological contract perceptions and job satisfaction of the research assistants and their intention to leave. Furthermore, there is a relationship between the aforementioned perceptions and intentions. In the same way, the psychological contract perception is effective on job satisfaction and intention to leave. The findings of this research are significant in terms of guiding managers and institutions to consider the psychological contract framework to increase employee satisfaction and reduce the labour turnover rate.
Isolation and Purification of C9 and Vitronectin from Goat Plasma
Authors: Rao Thavitiki Prasada , Joshi P.
Published: April 2021

Background: Vitronectin (Vn) is a multifunctional protein of blood and extracellular matrix. It binds to complement C9, which is involved in the terminal step of cytolysis including those of microbes. It hypothesized that Vn may bind to pore farming complement protein i.e C9 to modulate innate immunity and involved in immune evasion mechanism of bacterial pathogens like staphylococcus aureus. Methods: The procedure allows the rapid, large-scale isolation of pure and haemolytically active Vn and C9 proteins from goat plasma by suitable ion-exchange and affinity chromatographic techniques. Result: Vitronectin (Vn), a multifunctional protein of blood and the extracellular matrix has a mol.wt.of 78 kDa. Goat C9, the last component of complement, was purified in good yield by a combination of salt fractionation and ion-exchange chromatography. Approximately 1mg of protein can be obtained from 1 litre of the serum. The C9 was obtained has a mol.wt.of 66 kDa, determined by SDS/polyacrylamide-gel electrophoresis. No impurities were detected on gel electrophoresis and the Vn and C9 were confirmed by western blotting.
Hubungan Konsentrasi Kromium (Cr) dalam Air Sumur dengan Konsentrasi pada Urin dan Rambut Warga Dusun Banyakan Yogyakarta
Authors: Poa Yoseph Junedi , Rahardjo Djoko , Kisworo
Published: April 2021

Aktivitas pembuangan limbah cair industri penyamakan kulit di dusun Banyakan memiliki dampak negatif bagi lingkungan. Masuknya pencemar kromium kedalam air sumur adalah salah satu dampak negatif tersebut. Tujuan dari penelitian ini adalah untuk mengetahui konsentrasi kromium dalam air sumur, rambut dan urin warga setempat. Penelitian dilakukan di Dusun Banyakan, Kabupaten Bantul, Provinsi Daerah Istimewa Yogyakarta. Sampel yang diambil adalah sampel air sumur, urin dan rambut. Ektraksi sampel menggunakan metode destruksi aqua regia (3HNO3 + HCl) selanjutnya analisa konsentrasi kromium menggunakan instrumen AAS (Atomic Absorption Spectrophotometry). Pencemar kromium ditemukan pada semua sampel, baik air sumur, rambut dan urin. Sampel rambut memiliki konsentrasi kromium paling tinggi dengan rerata sebesar 0,4685 Mg/Kg, diikuti sampel urin dengan rerata 0,0007 Mg/L dan terendah pada sampel air sumur dengan rerata 0,0007 Mg/L. Konsentrasi kromium pada rambut dan urin didapati melebihi standar baku mutu. Paparan yang diterima warga rata-rata per harinya adalah 0,10125 ?g/L serta tidak ada hubungan antara asupan harian kromium dengan konsentrasi kromium pada urin dan rambut.
Peningkatan Produksi Saponin pada Kultur Kalus Ginseng Jawa (Talinum paniculatum Gaertn) dengan Penambahan Ekstrak Yeast
Authors: Dena Amelia , Restiani Ratih , Aditiyarini Dwi
Published: April 2021

Ginseng jawa (Talinum paniculatum Gaertn) merupakan tanaman yang dimanfaatkan dalam pengobatan tradisional masyarakat Indonesia. T. paniculatum berkhasiat dalam meningkatkan nafsu makan dan afrodisiaka. Upaya peningkatan produksi saponin pada T. paniculatum memerlukan metode yang efektif yaitu elisitasi. Ekstrak yeast (Saccharoyces cerevisiae) digunakan sebagai elisitor karena kemampuannya dalam memproduksi metabolit sekunder. Penelitian ini bertujuan untuk mengetahui pengaruh konsentrasi elisitor ekstrak yeast (0,025%, 0,05%, 0,075%, 0,1%, dan 0,5%) dan waktu inkubasi (1, 2, dan 3 minggu) terhadap biomassa dan produksi saponin dari kultur kalus daun T. paniculatum. Media yang digunakan adalah MS (Murashige and Skoog). Identifikasi saponin menggunakan KLT (Kromatografi Lapis Tipis). Hasil menunjukkan konsentrasi ekstrak yeast dan waktu inkubasi tidak berpengaruh secara signifikan dalam meningkatkan biomassa kalus T. paniculatum. Konsentrasi ekstrak yeast 0,075% dengan waktu inkubasi 3 minggu menghasilkan luas noda saponin tertinggi yaitu 0,549 cm2.
Personal Motivation and Learning Self-Management in Students as Result of the Transition to Online Courses during COVID-19 Pandemic
Authors: Chávez-Miyauchi Tomás Eduardo , Benitez-Rico Adriana , Alcántara-Flores Manuel , Vergara-Castañeda Arely , Ogando-Justo Ana Belén
Published: April 2021

COVID-19 pandemic has changed the normal course of activities around the World. The measures implemented to slow down the spread of the disease and its impact on the health system have also suggested a change in population dynamics. In the educational aspect, the paradigm of the traditional education had to change completely to a remote environment, representing a challenge for students, teachers, and education institutions. In this work we report the students’ response to the actions taken by the faculty of the Chemistry Sciences School of Universidad La Salle México to face online courses ensuring student accompaniment. After the term, a qualitative and quantitative study was performed to the school population using an electronic survey to address the response of students to the applied strategy. Data was analyzed using SPSS® software. 266 responses were obtained, which represents a response rate of 44%. 75.6% of the alumni reported having a good or excellent disposition regarding virtual sessions. Likewise, 48.9% reported adapting appropriately to the remote working modality. Also, 83.5% of students recognize the labor of the teachers by acknowledging that their effort and dedication was excellent or good. Students showed development of soft skills such as self-time and learning management; written, oral and technological communication. These results suggest the advantages perceived by students during the transition to virtual modality,  mostly oriented to self-management of their learning and that could conform the basis for the development of new strategies that can be useful not only for a contingency situation, but also in the structuration and innovation of science programs.
Construcción y Validación del Inventario de Respuestas Emocionales Negativas y Perturbadoras en Contextos de Pandemias (IREN-35) en población mexicana
Authors: Flores-Morales Rogelio , Reidl Martínez Lucy María , Adame Rivas Adriana Karime , Reyes Pérez Verónica
Published: April 2021

La presente investigación tiene como objetivo construir y determinar las propiedades psicométricas del Inventario de Respuestas Emocionales Negativas y Perturbadoras en Contextos de Pandemias (IREN-35) en población adulta mexicana. Dicho instrumento identifica la presencia de emociones negativas relacionadas con la exposición directa o indirecta al virus, incluida la experiencia de aislamiento físico y social que éste provoca.
Método: Se realizó un estudio exploratorio, descriptivo y transversal con metodología cuantitativa. Con el fin de determinar la validez de constructo, se realizó un análisis factorial exploratorio, así como la identificación de los coeficientes de confiabilidad total y por factores. Para la validación convergente se utilizó un análisis de correlación de Pearson entre el IREN-35 y el Cuestionario General de Salud de Goldberg. El proceso de validación se llevó a cabo durante la pandemia de Covid-19 (coronavirus) en México, en la fase dos de propagación del virus.
Resultados: Los resultados globales indican que el IREN-35 es un instrumento válido y confiable para identificar emociones negativas y presenta un buen desempeño psicométrico en población mexicana adulta. El instrumento está constituido por cuatro factores, con un alfa de Cronbach global de .96: 1) Emociones negativas por distanciamiento físico y/o social; 2) Emociones por pérdida de estabilidad o bienestar; 3) Emociones por percepción de amenaza; y 4) Emociones por percepción de peligro intenso.
Discusión: El IREN-35 tiene una utilidad preventiva en el sentido de que puede identificar la presencia de emociones perturbadoras, susceptibles de contribuir –con el transcurrir del tiempo y si su intensidad aumenta– en la formación de algún tipo de malestar emocional (factor 1), o trastorno, ya sea depresivo (factor 2), de ansiedad (factor 3), por traumas o factores de estrés (factor 4) en el contexto de una pandemia.
Analisis Wacana Islam Dalam Koran Jepang Ito Shinbun
Authors: Wibisono Febri , Haq Millitania , Walfajri Rafif , Febrianti Ikromah , Zakiah Millatuz
Published: April 2021

Mass media is a source of information, one of which is information about religion, including Islam. This study aims to examine how issues about Islam are represented in Japan through the mass media Ito Shinbun. This study uses a descriptive research method with a qualitative approach. The data were collected from articles in the digital version of Ito Shinbun newspaper. Based on the research results it was found that Ito Shinbun represented or reported issues related to Islam in a neutral way. In addition, it is also found that Islamic beliefs are written in Ito Shinbun's news which includes the concept of rejection of LGBT, law and sharia, halal food, and Islamic teachings that do not discriminate against humans.
The Common Good and Legal Interpretation: A Response to Leonid Sirota and Mark Mancini
Authors: Sérafin Stéphane , Sun Kerry , Ménard Xavier Foccroulle
Published: April 2021

Recent debates in the United States and Canada bear witness to a renewed interest in the moral foundations of legal interpretation. This article offers a contribution to the ongoing debate in Canadian legal circles, responding to critiques by Leonid Sirota and Mark Mancini of the emergent theories of “common good originalism” and “common good constitutionalism”. Contrary to our interlocutors’ view, the natural law tradition does not “look to extraneous moral and policy commitments as guides for legal interpretation” nor does it see the law as a mere instrument to achieve “pre-determined outcomes.” Rather, it regards the positive law and natural law as reciprocally interrelated; natural law lends intelligibility to the positive law, while positive law makes concrete the abstract precepts of natural law. This perspective provides valuable insights into the activity of legal interpretation, as directed toward understanding and giving effect to the legislature’s reasoned choices for the common good.
STRATEGI PENGEMBANGAN EKONOMI KREATIF DI KOTA MALANG
Authors: Bimantara Alfian Reza , Hidayat Wahyu , Suliswanto Muhammad Sri Wahyudi
Published: April 2021

The purpose of this research is to find out the development strategies of 4 creative economic in Malang City. The method used in this research is descriptive qualitative analysis using SWOT analysis to carry out strategies with the aim of improving the development of the creative economy by looking at strengths, weaknesses, opportunities and threats.Based on the results of the study, 4 creative economic sub-sectors in Malang City have different variations of strategies for each sector, creative economic sub-sectors also have various problems in carrying out their creative efforts. Problems such as human resources in the music and culinary sector, besides financial problems in the craft, culinary, fashion and music sectors.Other problems such as technological problems as a support for the craft and culinary sub-sector. Business people in 4 creative economic sub-sectors are forced to make an innovation or creative idea to create creative output.
PENGARUH INDUSTRI SEDANG DAN BESAR TERHADAP TINGKAT KEMISKINAN DI KABUPATEN GRESIK TAHUN 2002-2016
Authors: Janah Rohmatul , Nuraini Ida
Published: April 2021

This research is aimed at studying the influence of medium and large industries on poverty levels in Gresik on 2002-2016. The variables used in this study is medium and large industries, a labour of medium and large industries, gross regional domestic product (GRDP) of industrial sector and poverty rate. The method used in this study used multiple linear regression and used time-series data. The results of this study simultaneously are the variables of the amount of medium and large industries, the labour medium and large industries, and the gross regional domestic product (GRDP) of the industrial sector to poverty rate is significant. While medium and large industries to poverty rate have negative and insignificant effect with a coefficient value of -0,208905. The labour of medium and large industries to poverty rate has a positive and significant effect with a coefficient value of 0,130822,  the gross regional domestic product (GRDP) of industrial to poverty rate has a negative and significant effect with a coefficient value of -0,169431.
Upah Riil dan Kesempatan Kerja di Indonesia dengan Pendekatan Vector Auto Regresive
Authors: Murtala Murtala , Amri Amri , Chalirafi Chalirafi , Iskandar Irham
Published: April 2021

Upah merupakan salah satu faktor yang mempengaruhi kesempatan kerja. Perbaikan upah sangat penting untuk mendukung pembangunan. Perbaikan upah berarti peningkatan pendapatan dan daya beli masyarakat. Peningkatan pendapatan masyarakat akan meningkatkan permintaan akan barang dan jasa yang kemudian pada gilirannya secara makro mendorong perusahaan-perusahaan untuk berkembang. Tujuan penelitian ini adalah untuk mengetahui berapa besar pengaruh upah riil terhadap kesempatan kerja di Indonesia. Data yang digunakan dalam penelitian ini adalah data seri waktu selama periode 1980-2015. Metode analisis yang digunakan dalam penelitian ini adalah model Vector Auto Regression (VAR). Berdasarkan hasil estimasi kedua variabel yang dianalisis yaitu kesempatan kerja dan upah riil stasioner pada secound different dengan menggunakan Philips-Perron. Dari kedua variabel yang dianalisis ternyata tidak terjadi kointergrasi dalam jangka panjang. Upah rill berpengaruh negatif terhadap kesempatan kerja di Indonesia. Hal ini disebabkan peningkatan upah riil yang terjadi tidak diikuti dengan peningkatan produktifitas yang seimbang, sehingga peningkatan upah riil mendorong pengurangan permintaan akan tenaga kerja.
Faktor Penentu Perkembangan Market Share Perbankan Syariah di Provinsi Aceh
Authors: Pradana Reza Septian
Published: April 2021

Penelitian ini bertujuan untuk menganalisis faktor penentu perkembangan market share perbankan syariah di Provinsi Aceh. Penelitian ini menggunakan analisis regresi linier berganda. Hasil estimasi menunjukkan bahwa proporsi deposito mudharabah dan suku bunga deposito satu bulan bank konvensional berpengaruh secara signifikan positif terhadap market share perbankan syariah di Provinsi Aceh, sedangkan BI rate dan suku bunga deposito satu tahun bank konvensional berpengaruh secara signifikan negatif terhadap market share perbankan syariah di Provinsi Aceh. Dengan demikian, perbankan syariah perlu meningkatkan daya saing produk deposito mudharabah dengan menaikan nisbah bagi hasil. Selain itu, Bank Indonesia sebaiknya mempertimbangkan kepentingan bank syariah dalam penentuan suku bunga acuan BI rate.
Perencanaan Pembangunan Daerah Aliran Sungai Krueng Aceh dan Perubahan Lingkungan Hidup di Kota Banda Aceh
Authors: Syahiruddin Syahiruddin
Published: April 2021

Perencanaan pembangunan sarana dan prasarana sumber daya air yang akan dilaksanakan haruslah dapat meningkatkan kesejahteraan masyarakat karena pendapatan dan pertumbuhan dapat diperoleh berupa hasil pertanian, pertambangan, usaha kecil menengah, perdagangan, dan perindustrian. Pengelolaan sumber daya air dalam suatu Daerah Aliran Sungai haruslah dilakukan secara holistik yaitu memandang masalah secara utuh, terpadu dan, lintas sektoral, lintas daerah sesuai dengan konsep DAS sebagai kesatuan ekosistem. Perlunya menjaga hutan agar tetap lestari sehingga pembangunan DAS dalam economic development, community development dan environmental service bisa berimbang. Lahanlahan kritis dan gundul kembali hijau, air sungai yang bersih tersedia sepanjang tahun, musim hujan tidak lagi terjadi banjir dan longsor, musim kemarau tidak lagi kekeringan. Lahan dipinggir sungai Krueng Aceh di Kota Banda Aceh sangat subur dikarenakan humus tanah yang dibawa air sangat baik untuk tanaman jangka pendek. Kegiatan ini menjadikan aliran sungai terawat baik dan dapat melestarikan Daerah Aliran Sungai dari degradasi akibat pengikisan air, dan disamping itu juga dapat meningkatkan ekonomi masyarakatnya.
PERBANDINGAN KINERJA PEMBANGUNAN SOSIAL DAN EKONOMI KABUPATEN ACEH BARAT DENGAN KABUPATEN PEMEKARANNYA TAHUN 2011-2019
Authors: Reza Septian Pradana Reza Septian Pradana
Published: April 2021

Pemekaran daerah merupakan suatu kebijakan desentralisasi yang memiliki filosofi untuk meningkatkan kesejahteraan masyarakat dengan cara mengoptimalkan potensi sumber daya daerah yang bersangkutan baik dari aspek ekonomi, sosial, maupun pemerintahan. Namun dalam pelaksanaannya, banyak daerah pemekaran yang gagal dalam mengoptimalkan potensinya dan bermuara pada ketertinggalan/perlambatan pertumbuhan daerah. Penelitian ini bertujuan untuk mengetahui perbandingan kondisi kinerja pembangunan sosial dan ekonomi kabupaten pemekaran terhadap kabupaten induknya pasca pemekaran daerah. Kinerja pembangunan sosial diukur dengan angka kemiskinan, angka harapan hidup, angka rata-rata lama sekolah, dan indeks pembangunan manusia sedangkan kinerja pembangunan ekonomi diukur dengan pertumbuhan ekonomi. Studi kasus dilakukan pada tiga kabupaten pemekaran, yaitu Aceh Jaya, Nagan Raya, dan Simeulue serta kabupaten induk, yaitu Aceh Barat. Perbandingan dilakukan dengan menggunakan uji beda dua rata-rata (uji–t) dengan periode data 2011-2019. Secara statistik, perbedaan kinerja pembangunan ekonomi Kabupaten Aceh Barat dibandingkan kabupaten pemekarannya tidak signifikan. Ditinjau dari kinerja pembangunan sosial, Kabupaten Aceh Jaya secara signifikan sudah lebih baik dibandingkan kabupaten induk dalam upaya pengentasan kemiskinan. Kabupaten Nagan Raya secara signifikan sudah lebih baik dibandingkan kabupaten induk dalam upaya peningkatan kualitas kesehatan masyarakat. Hasil penelitian ini dapat digunakan sebagai bahan evaluasi sederhana bagi pemerintah daerah setempat dalam memutuskan kebijakan untuk pemekaran daerah selanjutnya.
ANALISIS DETERMINAN TINGKAT PARTISIPASI ANGKATAN KERJA WANITA DI SUMATERA
Authors: Hardiani Hardiani , Siregar Sariwati , Zulfanetti Zulfanetti
Published: April 2021

Pulau sumatera merupakan saah satu pulau di Indonesia dengan pertumbuhanpenduduk wanita yang relatif tinggi. Salah satu masalah yang dihadapi dalamketenagakerjaan di Indonesia adalah rendahnya TPAK (Tingkat Partisipasi AngkatanKerja) wanita dibandingkan dengan laki-laki. Penelitian ini bertujuan untuk menganalisislebih jauh pengaruh variabel independen berupa jumlah wanita berusia 15 tahun ke atas,wanita yang mengurus rumah tangga dan upah minimum provinsi terhadap variabeldependen yaitu TPAK wanita di Sumatera. Penelitian ini mengunakan data sekunder yangdiperoleh dari BPS dan Keadaan Angkatan Kerja Indonesia antara tahun 2012-2017,dianalisis menggunakan metode regresi data panel (gabungan data cross section dan timeseries). Dari hasil analisis diketahui bahwa variabel Upah Minimum Provinsi berpengaruhsignifikan terhadap TPAK wanita.
DETERMINAN PEROLEHAN SISA HASIL USAHA (SHU) PADA KOPERASI WANITA DI KOTA BANDA ACEH
Authors: Pradana Reza Septian
Published: April 2021

Koperasi yang selama ini dikenal sebagai pilar dari perekonomian bangsa merupakan pilihan tepat bagi kaum perempuan dalam meningkatkan kesejahteraan keluarga maupun kelompoknya. Penelitian ini bertujuan untuk mengidentifikasi faktor penentu perolehan Sisa Hasil Usaha (SHU) pada koperasi wanita di Kota Banda Aceh. Penelitian ini menggunakan analisis regresi linier berganda. Hasil estimasi dengan analisis regresi linier berganda menunjukkan bahwa modal pinjaman dan volume usaha koperasi secara signifikan berpengaruh positif terhadap Sisa Hasil Usaha (SHU) pada koperasi wanita di Kota Banda Aceh. Modal simpanan tidak secara signifikan berpengaruh terhadap Sisa Hasil Usaha (SHU) pada koperasi wanita di Kota Banda Aceh. Dengan demikian, strategi yang dapat dilakukan untuk meningkatkan perolehan Sisa Hasil Usaha (SHU) pada koperasi wanita di Kota Banda Aceh yaitu dengan penguatan struktur modal dan peningkatan volume usaha koperasi.
ANALISIS TRANSFORMASI STRUKTURAL PEREKONOMIAN KABUPATEN ACEH UTARA
Authors: Aswadi Khairul
Published: April 2021

Tujuan penelitian ini adalah untuk mengetahui transformasi struktural perekonomian Kabupaten Aceh Utara. Penelitian ini menggunakan data sekunder yang bersumber dari Badan Pusat Statistik Provinsi Aceh dan Kabupaten Aceh Utara. Formula untuk menganalisis transformasi struktural perekonomian di Kabupaten Aceh Utara dengan menggunakan analisis Shift-Share Estaban-Marquillas (E-M). Hasil penelitian menunjukkan bahwa, Periode 2011-2015 di Kabupaten Aceh Utara kontribusi sektor primer dan sekunder terus mengalami penurunan peranannya terhadap pembentukan PDRB, sedangkan sektor tersier terus mengalami peningkatan perannya, hal ini jelas menggambarkan adanya transformasi atau pergeseran struktur ekonomi di Kabupaten Aceh Utara. Hasil analisis Shift-Share Kabupaten Aceh Utara, periode 2011-2015 pada akhir periode observasi terdapat dua sektor yang memiliki keunggulan kompetitif dan berspesialisasi (kuadran 4) yaitu, 1) sektor pertanian, kehutanan dan perikanan; dan 2) sektor industri pengolahan.
Controversies involving the use of SSRIs during pregnancy and the increased risk of having a child with autism spectrum disorders – a case report and literature review
Authors: Karakuła Kaja Hanna , Padała Olga , Ryczkowski Aleksander , Forma Alicja , Juchnowicz Dariusz
Published: April 2021

Introduction: There is an ongoing debate as to whether the use of selective serotonin reuptake inhibitors (SSRIs) by pregnant women increases the risk of developing autism spectrum disorders (ASD) in the offspring.

Aim: The aim of the study was to

1) present, based on a case report, the potential factors that may affect the development of ASD in a child,

2) review the literature on the risk of ASD in the case of using SSRIs by a pregnant woman.

Case report: The case report concerns a child of a 33-year-old patient, previously treated for an episode of depression at the age of 23. At the beginning of the 15th week of planned pregnancy, when she was 28 years old, sleep disturbances were observed. Over the next few weeks, she gradually developed a full-blown depressive syndrome which required the use of sertraline. The child was born through a natural delivery, a healthy boy, who was diagnosed with ASD at the age of 2.5 years, which was the trigger for the development of the third episode of depression in the patient.

Conclusions: The results of the research indicate that SSRIs can penetrate the placental barrier, influencing the processes of serotoninergic transmission in the fetus, disrupting neurodevelopmental processes. On the other hand, a higher risk of ASD development in children of depressed mothers who do not use pharmacotherapy was confirmed, compared to the general population and in the case of the occurrence of depressive episodes in mother in the past and in relation to the male fetuses. The greater risk of ASD in children of mothers who take SSRIs may not only be associated with the medication itself but also with the presence of depression and the probable common genetic basis for both disorders. In each case, other risk factors for the development of ASD should also be taken into consideration, e.g. vitamin D3 deficiencies, unsaturated fatty acids, oxytocin levels, the presence of intestinal dysbiosis.