bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of selected suicide risk factors and the level of spirituals transcendence and religiosity
Authors: Surmacz Natalia , Tylec Aneta , Ryś Maria , Kucharska Katarzyna
Published: October 2021

Suicide is a global phenomenon and one of the leading causes of death worldwide. The analysis covers suicidal risk factors (depression, psychological pain, fascination with death) and protective factors (spirituality, religiosity) in the population of healthy people in the SARS-CoV-2 pandemic and the relationship between recent stressful events and suicide risk factors. In the period from October 2020 to March 2021, 260 people aged 18-63 were surveyed electronically, using the own questionnaire and Polish adaptations of research tools to assess: depression, mental pain, anxiety and fascination with death, spirituality and religiosity and the AUDIT screening test. 38.8% of the respondents achieved the result indicating the presence of symptoms of depression and the need for specialist consultation. Women achieved higher results compared to men (Z = -2.424; p = 0.015). In the measurement of religiosity and spiritual transcendence, the lowest score was noted on the following scales: religious commitment, religious crisis and fulfillment in prayer, while the highest score in the sense of attachment scale. Among the maximum results, the lowest was recorded in the measurement of transcendence and the highest in religious commitment. In the subscale of religious commitment, the respondents achieved the lowest average intensity, and slightly higher in the measurement of the religious crisis. However, the feeling of fulfillment in prayer and universality were the most intense. Statistical significance was demonstrated between depression and fascination with death (ρ = 0.399; p <0.001) and depression and psychological pain (ρ = 0.677; p <0.001). As the religious crisis intensified, the following also intensified: depression (ρ = 0.290; p <0.001), psychological pain (ρ = 0.279; p <0.001) and fascination with death (ρ = 0.224; p <0.001). A positive correlation was found between the number of stressful events and depression (ρ = 0.259; p <0.001) and psychological pain (ρ = 0.295; p <0.001). Statistical significance was demonstrated in the analysis of the impact of recent stressors on suicide risk factors. Psychological pain is the strongest predictor of the "S" sample, and the religious crisis is associated with a greater severity of suicide risk factors. Depressiveness correlates with the intensity of mental pain and fascination with death in people with a high level of spiritual transcendence and religiosity. Increased depression and psychological pain are more common in women and in people experiencing recent stressful situations in life.
Associations between emotional intelligence and adolescent risky sexual behavior
Authors: Knopp Katarzyna
Published: October 2021

Risky sexual behavior of young people have a number of adverse consequences in the health, psychological and social dimension. Therefore, it is extremely important to undertake actions promoting proper sexual behaviors among young people and more conscious and responsible attitudes towards this sphere of life. In order for the introduced educational and preventive actions to be effective, it is necessary to precisely recognize the factors protecting from risky sexual behavior and the factors increasing the risk of such behaviors. 

The paper attempts to answer the question about the role of emotional intelligence of adolescents as a protective factor against risky sexual behavior. The first part outlines the problem of risky sexual behavior of adolescents - its types, sources and consequences. Next, the most important models of emotional intelligence are presented, and its relation to the effectiveness of functioning on different levels of life is discussed. Finally, the article describes the relations between emotional intelligence of adolescents and the tendency to engage in risky sexual behavior, referring to both psychological theories and empirical data.
TEKNOLOGI IRIGASI OTOMATIS BERTENAGA SURYA DI KELOMPOK TANI CAHAYA TANI KECAMATAN TARAKAN UTARA KOTA TARAKAN
Authors: Sirait Sudirman , Santoso Dwi , Egra Saat
Published: October 2021

ABSTRACT One effort to increase irrigation efficiency is the use of solar power-based automatic control systems. This technological innovation was designed by utilizing digital technology, microcontroller and sensor network. This automatic control system operates based on the value of soil moisture as the lower set point value and the upper set point value to set the pump on/off. The aims of this research are to develop a solar-powered automatic control system with reference to the control of soil moisture for set on/off the pump and can keep the soil moisture from the water capacity. The stages of the research are hardware design of solar-powered control systems, design of automatic control system software, design of sprinkler irrigation networks, testing and data analysis. The results showed that the total power to operate an automatic sprinkler irrigation system of 67.0 Watt and can reduce battery consumption of 234.7 Watt. The use of a 30 Wp solar panel unit is able to meet the power needed for the automatic control system during the experiment. Keywords: automatic control system, microcontroller, solar power, sprinkler irrigation ABSTRAK Salah satu usaha untuk meningkatkan efisiensi irigasi adalah penggunaan sistem kontrol otomatis berbasis tenaga surya. Inovasi teknologi ini dirancang dengan memanfaatkan teknologi digital, mikrokontroller dan jaringan sensor. Sistem kontrol otomatis ini beroperasi berdasarkan nilai kelengasan tanah sebagai nilai set point bawah dan set point atas untuk mengatur on/off pompa. Penelitian ini bertujuan untuk mengembangkan sistem kontrol otomatis bertenaga surya dengan acuan kendali kelengasan tanah untuk pengaturan on/off pompa dan menjaga kondisi tanah dari kapasitas lapang. Tahapan penelitian yaitu perancangan hardware sistem kontrol otomatis bertenaga surya, perancangan software sistem kendali, perancangan jaringan irigasi sprinkler, pengujian dan analisis data. Hasil percobaan menunjukkan total daya untuk mengoperasikan sistem irigasi sprinkler otomatis 67,0 Watt dan menghemat penggunaan daya baterai sebesar 234,7 Watt. Penggunaan 1 unit panel surya 30 Wp mampu mencukupi daya yang dibutuhkan untuk mengoperasikan sistem kontrol otomatis selama percobaan. Kata kunci: irigasi sprinkler, mikrokontroller, sistem kontrol otomatis, tenaga surya
LAMA PENYIMPANAN MUTU ORGANOLEPTIK FRESH CUT WORTEL SEGAR (Daucus Carota. L)
Authors: Fatimah Siti , Masriani Masriani
Published: October 2021

ABSTRACT This study aims to determine the response to organoleptic tests in several samples of Fresh Carrot Cut. This studyused a Completely Randomized Design (CRD). Each treatment had 3 replications so that the total treatment was24 treatments. Based on the results of the study it can be concluded that the longer the storage, the weight lossvalue is higher, while the value of texture, color, aroma and overall appearance decreases. The storage time forthe 6th day was still favored by the panelists on the color, aroma and appearance of the whole fresh carrot sliceswith a weight loss of 7.45%.Keywords: Organoleptic Test, Fresh Carrot CutABSTRAKPenelitian ini bertujuan untuk mengetahui pengaruh waktu penyimpanan terhadap kualitas wortel segar denganuji organoleptik pada Wortel Cut segar. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL), dengan 8unit perawatan. Setiap perlakuan mengandung 3 ulangan sehingga total perawatan adalah 24 perawatan.Berdasarkan hasil penelitian dapat disimpulkan bahwa semakin lama penyimpanan semakin tinggi nilai penurunanberat badan, sedangkan nilai tekstur, warna, aroma dan penampilan keseluruhan menurun. Waktu penyimpananhari ke-6 masih lebih disukai oleh panelis pada warna, aroma dan penampilan keseluruhan irisan wortel segardengan penurunan berat badan 7,45%.Kata Kunci  :  Uji Organoleptik, Fresh Cut Wortel
Development of a safety system using an embedded traction module controlled by artificial vision
Authors:   ,   Universidad Mundo Maya, ZAMUDIO-OLVERA Diego Emmanuel
Published: October 2021

General objective: To develop a Raspberry controlled traction module using image processing through artificial vision, Specific objectives: To generate a communication path between Raspberry and Kinect v2, Develop algorithms for image processing, Develop algorithms for communication between Raspberry and Kinect v2, Methodology: The methodology used in this project is "waterfall", because it is a traditional model that, as its name suggests, is a linear and sequential process: in a very detailed way there is a starting point that would lead to an end point in different stages: Conception, Analysis, Design, Construction, Testing, Implementation and Maintenance
Implementation of algorithms in a ros-based embedded system for the manipulation of autonomous devices
Authors:   ,   Universidad Mundo Maya, TÉLLEZ-CASTELLANOS Aranzazú Mahelet
Published: October 2021

This project addresses the idea of the integration of an embedded system with middleware resulting in the programming and control of a mobile device, allowing the automation of the same. This project mainly tries to increase the fields of robotics within the automation of existing devices. These applications, which are intended to achieve with automation, are only methods of helping people by removing the burden of performing these jobs, so it was decided to carry out this project. General Objective: Implement algorithms in an embedded system based on ROS for the manipulation of autonomous devices, Specific objectives: Develop ROS-based algorithms to establish a tracking path for the control of an autonomous device, Implement algorithms in an embedded system for device control, To show the operation of the algorithms made in ROS in an autonomous device with a predetermined route, Methodology: The methodology used in this project is the "waterfall" type, because it is a traditional model that, as its name suggests, is a linear and sequential process: in a very detailed way there is a starting point that would lead us to an end point in different stages: Conception, Analysis, Design, Construction, Testing, Implementation and Maintenance
Robotic Sorter
Authors:   ,   Universidad Mundo Maya, MORENO-CARRILLO Miguel Humberto
Published: October 2021

A scaled prototype was created to automate the waste separation process, in two categories, metals and non-metals (plastics, paper, cardboard, glass, etc.) The waste separation was carried out by means of a conveyor belt and an articulated robotic arm.
Sanitizing Cabin
Authors:   ,   Universidad Mundo Maya, RAMÍREZ-PÉREZ Adolfo Enrique,
Published: October 2021

Reduce the risk of contagion of COVID-19 in squares, shopping centers, supermarkets with an automated disinfection cabin, using an alcohol-based solution suggested by the WHO as disinfectants.
Segmentation of microcalcifications in regions of interest extracted from mammography by applying partitional clustering algorithms
Authors:   ,   Universidad Mundo Maya, GARZA-GIRÓN Sarai
Published: October 2021

In recent years, breast cancer has become a topic of interest because it is one of the main causes of death in women. Due to this, this work shows the implementation of a methodology, which is based on digital image processing techniques, such as the segmentation of microcalcifications in regions of interest of digitized mammograms. The segmentation technique used is based on the PFCM clustering algorithm, which is known as subsegmentation. This technique at the same time delimits, highlights and detects in a supervised way the possible microcalcifications found in the regions of interest extracted from the mammograms, the images presented and on which the experiments were performed are taken from the mini-MIAS database which are adequately classified by experts.
Autonomous Navigation of an Autominy based on the "Sliding Window Technique" and 2D detection
Authors:   ,   Universidad Mundo Maya, BORGES-MONSREAL Giovanna
Published: October 2021

The present work describes the development of algorithms for the autonomous navigation of a 1:10 scale Autominy vehicle, with the objective of solving 3 problems: 1) Autonomous navigation without obstacles, 2) The overtaking of a static obstacle and 3) Autonomous parking. The solution is based on reliable artificial vision methods, such as the Sliding Window Technique and the analysis of data coming from a LiDAR sensor; in addition to the control application, ROS and OpenCV. Each algorithm was tested 50 times in a controlled environment with a minimum light variation, showing a reliability and efficiency percentage of 98% for the first algorithm, 90% for the second one and 95% for the third one.
Evaluasi Dosis Antibiotik Pada Pasien Demam Tyfoid Anak di Instalasi Rwat Inap RSI Sultan Agung Semarang dan RSUD Tugurejo
Authors: Karminingtyas Sikni Retno , Taufikarani Adillina , Seralurin Gabriel
Published: October 2021

Latar Belakang : Demam tifoid adalah penyakit infeksi sistemik yang bersifat akut yang disebabkan oleh Salmonella Typhi. Demam tifoid merupakan salah satu penyakit infeksi yang pengobatannya memerlukan antibiotik. Penggunaan antibiotik yang berlebihan dan pada beberapa kasus yang tidak tepat penggunaannya dapat menyebabkan masalah kekebalan antibiotic. Tujuan : Untuk mengetahui ketepatan dosis antibiotik pada pasien demam tifoid anak di instalasi rawat inap RSI Sultan Agung dan RSUD Tugurejo Semarang.Metode : Jenis penelitian ini termasuk dalam penelitian non eksperimental menggunakan pendekatan retrospektif. Teknik pengambilan sampel dengan teknik purposive sampling. Analisa data dilakukan secara deskriptif. Hasil : Penggunaan antibiotik pada pasien demam tifoid anak adalah amoxicilline (23,08%), cefotaxime (28,67%) dan ceftriaxone (48,25%). Dari hasil evaluasi diketahui bahwa tepat dosis ( 67,13%) dan tidak tepat dosis (underdose)  (32,87%).  Simpulan : Evaluasi ketepatan dosis antibiotik pada pasien demam tifoid anak adalah tepat dosis sebanyak 67,13% dan tidak tepat dosis (underdose) sebanyak 32,87%.
Skreening Fitokimia Formula Masker Gel Peel-off Nano Ekstrak Daging Labu Kuning ( Cucurbita maxima)
Authors: Sunnah Istianatus , Erwiyani Agitya Resti , Yunisa Krismelinda Octavia , Pratama Nyai Melati
Published: October 2021

Telah dilakukan penelitian terhadap kandungan senyawa metabolit pada sediaan masker gel peel-off ekstrak nanopartikel daging buah labu kuning (Cucurbita maxima). Penelitian ini bertujuan untuk menganalisis kandungan dan kadar flavonoid dalam ekstrak nano partikel daging labu kuning dan sediaan masker gel peel-off.  Proses diawali dengan pembuatan simplisia labu kuning kemudian dikeringkan dilanjutkan  dengan maserasi menggunakan etanol 96%. Ekstrak dibuat dalam ukuran nanopartikel menggunakan metode gelasi ionik dengan kitosan-Na TPP  dan diformulasikan dalam sediaan masker gel peel-off menggunakan komposisi basis PVA, karbomer dan polietilenglikol. Skrining fitokimia secara kualitatif menggunakan KLT dan secara kuantitatif menggunakan spektrofotometri UV-Vis. Butanol: asam asetat glasial: air (4:1:5) merupakan komposisi eluen yang digunakan sebagai fase gerak. Deteksi bercak diamati dalam lampu UV 366 nm dan dilakukan identifikasi senyawa flavonoid setelah ditambahkan pereaksi semprot ammonia. Pola pemisahan dan warna bercak yang muncul dihitung untuk menentukan nilai Rf. Hasil skrining fitokimia secara kualitatif  dalam ekstrak nanopartikel didapatkan kandungan flavonoid tinggi  yang diduga sebagai antioksidan golongan flavon dan golongan flavonol. Secara kuantitatif, dalam ekstrak mengandung flavonoid sebesar 4,433 mg/mL dan dalam sediaan masker peel-off mengandung flavonoid sebesar 0,093mgQE/mL.  Kata kunci : ekstrak, Cucurbita maxima, nanopartikel, peel-off, flavonoidResearch on the content of metabolite compounds in peel-off gel mask nanoparticle extracts of pumpkin fruit (Cucurbita maxima) was conducted. This study aims to analyze the content and levels of flavonoids in pumpkin fruit nano extracts and peel-off gel mask form. The process begins with the manufacture of pumpkin fruits then dried followed by maceration using ethanol 96 %. The extract was made in nanoparticle size using an ionic gelation method with chitosan-Na TPP and formulated in a peel-off gel mask  using a base composition of PVA, carbomer and polyethylenglycol. Phytochemical screening is qualitatively using TLC and quantitatively using UV-Vis spectrophotometry. Butanol: glacial acetic acid: water (4: 1: 5) are an eluent composition used as a mobile phase. Spotting detection was observed in a 366 nm UV lamp and identification of the flavonoid compound after ammonia spray reagent was added. Separation patterns and spotting colors that appear are calculated to determine of  Rf values. The results of qualitative phytochemical screening in nanoparticle extracts obtained high flavonoids which are suspected as antioxidants of flavones and flavonol. Quantitatively, the extract contained flavonoids of 4.433 mg / mL and in the preparation of peel-off masks containing flavonoids of 0.093mgQE/ mL.Keywords: extract, Cucurbita maxima, nanoparticle, peel-off, flavonoid
Sistemas de captación solar para clima ecuatorial frío
Authors:   , Giraldo Gallego Juan David
Published: October 2021

En el contexto climático colombiano se ha evidenciado una falta de confort térmico en viviendas localizadas en en climas fríos de alta montaña, además del poco uso de estrategias de calefacción pasiva. Como una respuesta a esta problemática este trabajo plantea estudiar el comportamiento de los sistemas de calefacción solar en climas tropicales fríos y encontrar las principales variables para optimizar el rendimiento de dispositivos de captación de energía solar en dicho contexto climático, con estudio de caso en el clima del altiplano cundiboyacense en Bogotá, Colombia. Se plantean metodologías de análisis computacional mediante modelos paramétricos para realizar análisis de sensibilidad de las diferentes variables de un dispositivo de calefacción solar pasivo, se utilizan programas de simulación paramétricos, con el plugin Honeybee para Grasshopper, complemento del software Rhinoceros. Este plugin permite traducir la geometría paramétrica a formato de OpenStudio para posteriormente ser simulada con el motor de cálculo EnergyPlus. Para encontrar la solución óptima para el área de estudio, se integraron simulaciones térmicas dinámicas empleando EnergyPlus, con un proceso automatizado de análisis de optimización con metamodelos usando el algoritmo RBFOpt, el cual utiliza técnicas avanzadas de aprendizaje automático “Machine Learning” para encontrar buenas soluciones con un pequeño número de evaluaciones de funciones. La investigación permitió evaluar el comportamiento de los sistemas solares pasivos en climas de alta montaña en bajas latitudes, evidenciando que, debido al recorrido solar y a la cantidad de variables que puede modificarse en el diseño del sistema de calefacción solar, la orientación del dispositivo juega un papel secundario, existiendo otros parámetros de diseño que, en casos particulares, pueden ser más importantes para el buen funcionamiento del sistema; factor opuesto a lo evidenciado en los diferentes sistemas implementados en el mundo en climas estacionales, donde la orientación del sistema de captación solar es primordial, ya que determina el éxito o fracaso del mismo.
AN INVESTIGATION OF TUNKU ABDUL RAHMAN MARINE PARK, SABAH'S ATTRACTIONS AND TOURISM INFRASTRUCTURE MANAGEMENT
Authors: Yusoh Mohamad Pirdaus , Mohd Salleh Noorziah , Mapjabil Jabil , M.Z. Rosmiza
Published: October 2021

Tunku Abdul Rahman Marine Park (TLTAR) is a marine park established under the Establishment of Marine Parks Malaysia Order 1994 of the Department of Fisheries to conserve marine resources and develop tourism. It consists of five islands, namely Manukan Island, Mamutik Island, Sapi Island, Sulug Island, and a portion of Gaya Island. The marine park has an area of 4,929 hectares, of which two-thirds are submerged. The purpose of the study is to investigate the characteristics of tourist attractions and tourism infrastructure in TLTAR, Sabah. The study involved 249 respondents, including locals who have visited TLTAR. The majority of respondents (71.5%) were male, 75.5% were under 30 years old, 68.7% were single, and over 50% had secondary education. The results of this study revealed that there were three main attractions that attracted visitors to TLTAR, which included the beauty of the beach and water surrounding it, the peaceful island environment, and recreational activities such as snorkelling, scuba diving, and picnicking. The island environment, particularly its beach, and the safety of the island, particularly perceived threats from certain parties and crimes, are also a few factors that need to be addressed in order for visitors to continue visiting TLTAR. In terms of the level of tourism infrastructures, the findings indicate that the recreational facilities, boat services, and jetty provided are better than those offered by others in Malaysia. The findings of the study are important for policymakers and marine park development planners in ensuring more sustainable tourism management and creating enjoyable and satisfaction for all visitors.
Surveying on MIMO Technology for Future Wireless Communication
Authors:   Department of Electronics and Instrumentation, Gulbarga University, Gulbarga (Karnataka), India., Kulkarni Sandeepkumar , Kulkarni Dr. Raju Yanamshetti ,   Department of Electronics and Communication Engineering, Gulbarga University, Gulbarga (Karnataka), India.
Published: October 2021

Massive MIMO is an extension of traditional MIMO with the exception that the BSs in massive MIMO are equipped with large number of antennas, usually hundred or more. This large number of antennas provide several positive advantages towards wireless communication with respect to increasing volume of data traffic. Each antenna is capable of serving multiple users simultaneously leading to reduction in power consumption as well as data rate amplification. Additionally, narrow and more focused beams are pointed to individual user devices located at the cell edge thereby upgrading of downlink signal quality. Using massive MIMO technique also increases reliability of the links, reduces noise effects, and mitigates and interference. With increasing number of users gets service, the throughput of the system also increases.
O Plan “España Puede” e a gobernanza territorial
Authors: Pazos Vidal Serafin
Published: October 2021

O Plan de Recuperación, Transformación e Resiliencia “España Puede” busca gastar ata 70.000 millóns en subvencións ata 2026 do novo fondo “Next Generation EU”. A súa  xestación ata a súa presentación á Comisión a finais de abril de 2021 xerou unhas enormes expectativas sobre o seu potencial como instrumento anticrise e para afrontar as reformas estruturais pendentes pero tamén controversias sobre a súa posible xestión territorial. O Mecanismo de Recuperación e Resiliencia tende a unha xestión centralizada para facer investimentos non moi diferentes aos dos fondos tradicionais, o que  supón unha crítica conceptual á Política Rexional da UE. Neste artigo faise unha primeira aproximación aos 110 Investimentos do “Plan España Puede” e ás súas consecuencias para a gobernanza territorial española.
Comunicación política y comunicación de crisis sanitarias
Authors: Garrido Rubia Antonio
Published: October 2021

Este trabajo aborda la comunicación política del Gobierno de España durante la crisis del coronavirus en una perspectiva comparada. En primer lugar,  este estudio identifica los aspectos singulares de las crisis sanitarias dentro de las crisis políticas y sus aspectos específicos en el ámbito de la política de comunicación y se desarrollan el conjunto de aspectos implicados en la misma en las distintas fases de la crisis: latencia, aparición, explosión y síntesis. En segundo lugar, se analiza el formato de las comparecencias públicas,  el papel de los expertos y los debates políticos abiertos durante la crisis. El estudio también evalúa el efecto sobre la valoración y popularidad del Ejecutivo de la gestión y la comunicación de la crisis.
Motivasi Penonton Livestream di Aplikasi Twitch
Authors: Azel Ryhan  , Baskoro D. Nawolo
Published: October 2021

The study focuses on finding motivation for others to watch people play video games on Twitch. The population studied is between the ages of 16 and 24 in Bekasi (509,407 People). Samples were randomly extracted with a Slovin formula with 400 responses. This data is retrieved using Google Form and analyzed using Warpls. Research motivation is the perspective of Uses and Gratification: Cognitive, Affective, Personal integration, Social integration and Tension release. The results is that cognitive factors have a significant impact on the Streamers Watch (H1c β = 0,051), Personal Integrative, Social Integrative, and Tension Release  Factor have a very influence by Hours Watching variables(H3a β = 0,068; H4a β = 0,065; H5a β = 0,067), The tension release factor is strongly influenced by the streamers follow variable(H5c β = 0,093) and there are no factors that really affect the Subscribe variable
Enforcement of Judgements, Recognizing Legal Tariff Regulations as Invalid
Authors:   Russian State University of Justice (Moscow), Z. A. Usoltseva
Published: October 2021

The article deals with issues related to the execution of court judgements issued in cases of challenging regulatory legal acts that establish tariffs (prices). The author comes to the conclusion that the execution of court's decisions on the recognition of tariff normative legal acts as invalid includes the publication of such decisions, the cancellation of the record of registration of the tariff act recognized by the court as invalid, and the judicial control over the adoption of a replacement regulatory tariff act by the authority or official who established an illegal tariff (if the court in its judgement obliged the authority or an official to adopt a replacement legal act). The analysis of the most common problems that arise in the practice of implementing judicial acts issued in cases of this category allowed the author to formulate concrete proposals for changing the current procedural legislation.
Hermeneutik Kontekstual:Sebuah Konstruksi Berdasarkan Filsafat Hermeneutik Modern
Authors: Apituley Margeretha Martha Anace
Published: October 2021

This paper seeks to see how important pre-understanding is in a contextual hermeneutic process. Therefore, by referring to the concept of pre-understanding in modern hermeneutics, both developed by Schleiermacher, Dilthey, Heidegger, Habermas, Ricoeur and Gadamer through a literature study, the author tries to see their constructive significance for contextual hermeneutics in Indonesia. In the end, it must be recognized that as a hermeneutic creature as Heidegger said, humans are not free from pre-understanding and pre-understanding is a prerequisite for doing hermeneutics. However, this pre-understanding must be criticized too, because not everything of it is emancipatory for life or even destructive tends to live.
Ritual Adat Antar Padi: Konstruksi Teologi Kontekstual
Authors: Kulapupin Eva Salomin
Published: October 2021

From the many existing customs, one is very good and shows the sibling relationship between the immigrant community and the indigenous people of Aru. The Aru Islands have long been a place of trade because they have great natural products. Therefore, many immigrants of the Aru island to trade. It creates a sibling relationship between the two tribes. The association is framed in the Jabu-jabu bond. This Jabu relationship is established between 6 villages in the Aru Islands and one of the immigrant tribes. This bond occurs because there is a history, so they always perform traditional rituals every few years. This bond occurs when the Koba gets the Bugis and asks for rice. The Bugis people told them about the place, and during the process of taking their rice, they were helped by people from 3 villages in the Aru Islands. In the city of Dobo the immigrants (BBM and China) are more economically developed than the natives. Therefore, there is a need for a genuine understanding of how indigenous Aru people and immigrants should coexist reasonably and grow together. This research concludes that the immigrant community must respect the indigenous population and vice versa to advance the Aru Islands area. In addition to maintaining relationships with others, awareness to protect the environment is also very important. As the people of Koba and Jabu-Jabu see rice as a source of life, it must be manifested in all the universes. In this way, God can be understood as the source of universal brotherhood. And the Aru people embody it in their daily lives.
Stratigraphic Lexicon: A revised guide to the Cenozoic Surface Formations of Qatar, Middle East (excluding the islands)
Authors: LeBlanc Jacques
Published: October 2021

The author learned first-hand about the surface stratigraphy and geology of Qatar by dedicating most of his weekends to conducting field works and public-guided field tours from 2007 to 2020 while employed by Qatar Petroleum. Here, he reviews and updates the surface stratigraphic knowledge of Qatar since the last lexicon was published back in 1975. The geology and macro-paleontology of the Lower Eocene Rus, Middle Eocene Dammam, Lower Miocene Dam, and Mio-Pliocene Hofuf formations are described in detail and well-illustrated.
Prospects of AI Implementation into Business Management Practices: a Survey (based on the materials of the Research Seminar on Digital Economy Studies at the Faculty of Economics of Lomonosov Moscow State University)
Authors: Kurdin A. A.
Published: October 2021

The article represents the survey of main results of the regular research seminar on digital economy studies at the Faculty of Economics of Lomonosov Moscow State University with the focus on artificial intelligence (AI). The survey includes the discussion on the AI concept itself, the assessment of AI impact on labor markets through the lens of human workforce substitution, and the summary of real and prospective directions of AI use by Russian companies. In particular, those directions include production, marketing, pricing, insurance, accounting and audit, security. The barriers for AI development in Russia are also identified.
The impact of delivery mode and parity on development of pelvic organ prolapse and urinary incontinence
Authors: SAĞNIÇ Saliha , KOKANALI Mahmut Kuntay , CAVKAYTAR Sabri , DOĞANAY Melike
Published: October 2021

Aim: To investigate the effect of delivery mode and parity number on development of pelvic organ prolapse (POP) and urinary incontinence (UI).

Materials and methods: 1500 women who had undergone surgery for POP and UI between 2007-2012 were retrospectively evaluated. After exclusion criteria, 875 women were included. 353 women with history of POP surgery were compared with 129 controls who had no POP and 201 patients with history of anti-incontinence surgery were compared with 192 controls who had no such surgery. Multiple effect of possible factors on the development of POP and UI was determined by logistic regression.

Results: The characteristics of POP group and the controls, as well as anti incontinence surgery group and controls were similar, except parity number. The risk of having a POP surgery was higher with increasing number of parity. The highest risk was found in women with a history of 5 and more deliveries. For UI, multiparity seemed as a risk factor, however the risk of undergoing incontinence surgery did not increase with increasing number of parity. Delivery mode was not a risk factor for either POP or anti-incontinence group.

Conclusion: The risk of POP increases with increasing number of parity, and also multiparity is a risk factor for UI. Women planning more than one delivery should be informed about this concern. Since the impact of delivery mode has not been shown clearly, we believe the incidence of pelvic floor dysfunction can be decreased with proper obstetric
Structure and composition of the woody plant communities of Majete Wildlife Reserve, Malawi
Authors: Nieman Willem , Van Wilgen Brian , Leslie Alison
Published: October 2021

Background: The role of protected areas as sanctuaries for indigenous vegetation in Malawi, particularly miombo woodlands, will become increasingly important in the face of global change and rising human populations. Accurate knowledge of the extent and composition of woody components of plant communities will therefore play a vital part in informing conservation and management initiatives.Objectives: The aims of this study were to (1) classify, describe and map thewoody plant communities of the Majete Wildlife Reserve (MWR) using a combination of remote sensing and on-the-ground surveys, and (2) to compile an inventory of the tree and shrub species present in MWR.Methods: A combination of remote sensing and on-the-ground surveys was used to classify, describe and map the woody plant communities of MWR. Additionally, an inventory of the tree and shrub species in each delineated woody plant community was made.Results: Five distinct woody plant communities, two of which were subdivided into three sub-communities each, were recognised in MWR, and a total of 118 woody plant species within 31 families were identified. A description of the location, structure and species composition of each community is provided. Miombo was the most widespread community (covering 35.9% of the area), while the lower-altitude shrublands and woodlands were the richest floristically.Conclusion: This information is intended to provide a basis for improved management planning and policy development, including fire management, the placement of infrastructure, and the re-introduction of extirpated mammal species, as well as providing a baseline against which to monitor change. Additionally, this study provided an example of how the combination of remote sensing and ground surveys can provide a rapid and relatively inexpensive method for classifying the woody components of communities at a relatively fine scale over large areas, which may become particularly relevant for developing countries and regions that undergo rapid and constant change.
The correct author citation for taxa in Strumaria and changes to subgenera in Strumaria and Hessea (Amaryllidaceae: Amaryllideae), with a synopsis of the actinomorphic-flowered genera of subtribe Strumariinae
Authors: Manning John , Snijman Deidre
Published: October 2021

Aspects of the nomenclature and classification of the subtribe Strumariinae are corrected and emended as follows: Hessea subgenus Myophila (Snijman) Snijman and Strumaria subgenus Carpolyza (Salisb.) Snijman are described, and Strumaria section Gemmaria (Salisb.) Snijman is validated; the correct author citations for several names in Strumaria that were invalidly published by Jacquin are established; and a complete infrageneric synopsis for the actinomorphic-flowered taxa of subtribe Strumariinae is provided.
ISTO É UMA PROPAGANDA SEXISTA?
Authors: Meyrer Karin Paola , Blos Bolzan Daniele
Published: October 2021

O presente artigo tem como objetivo analisar o resultado de três trabalhos de uma turma de 1a série do Ensino Médio, de uma escola bilíngue (português-inglês), em uma proposta de letramento crítico em L2 (língua inglesa). Os alunos foram desafiados a fazerem uma releitura de uma propaganda em língua inglesa com cunho sexista, tornando-a neutra. As seguintes categorias foram consideradas para a análise das releituras: 1) sintaxe/léxico, 2) layout e 3) propósito das propagandas. A maioria das releituras foram bem-sucedidas, atingindo as expectativas em relação ao uso da L2 e às categorias de análise descritas anteriormente, mostrando um alto nível de criticidade e proficiência na L2. Apesar de nem todas as releituras terem atingido o objetivo específico de neutralizar o cunho sexista das propagandas, todas demonstraram desenvolvimento do letramento crítico em L2, demonstrando criticidade ao analisar as propagandas originais e domínio de elementos linguísticos e não linguísticos em suas releituras.
Big Data Analytics in Cloud Computing
Authors: Nagarajan Rajganesh , Thirunavukarasu Ramkumar
Published: October 2021

In this chapter, the authors consider different categories of data, which are processed by the big data analytics tools. The challenges with respect to the big data processing are identified and a solution with the help of cloud computing is highlighted. Since the emergence of cloud computing is highly advocated because of its pay-per-use concept, the data processing tools can be effectively deployed within cloud computing and certainly reduce the investment cost. In addition, this chapter talks about the big data platforms, tools, and applications with data visualization concept. Finally, the applications of data analytics are discussed for future research.
Efficient Big Data-Based Storage and Processing Model in Internet of Things for Improving Accuracy Fault Detection in Industrial Processes
Authors: Rashid Mamoon , Singh Harjeet , Goyal Vishal , Ahmad Nazir , Mogla Neeraj
Published: October 2021

As the lot of data is getting generated and captured in Internet of Things (IoT)—based industrial devices which is real time and unstructured in nature. The IoT technology—based sensors are the effective solution for monitoring these industrial processes in an efficient way. However, the real—time data storage and its processing in IoT applications is still a big challenge. This chapter proposes a new big data pipeline solution for storing and processing IoT sensor data. The proposed big data processing platform uses Apache Flume for efficiently collecting and transferring large amounts of IoT data from Cloud—based server into Hadoop Distributed File System for storage of IoT—based sensor data. Apache Storm is to be used for processing this real—time data. Next, the authors propose the use of hybrid prediction model of Density-based spatial clustering of applications with noise (DBSCAN) to remove sensor data outliers and provide better accuracy fault detection in IoT Industrial processes by using Support Vector Machine (SVM) machine learning classification technique.
ANT Perspective of Healthcare Big Data for Service Delivery in South Africa
Authors: Iyamu Tiko , Mgudlwa Sibulela
Published: October 2021

In South Africa, there has been for many years challenges in how healthcare big data are accessed, used, and managed by facilities, particularly the small health facilities. The challenges arise from inaccuracy and inconsistency of patients' data and have impact on diagnoses, medications, and treatments, which consequently contributes to fatalities in South Africa, particularly in the rural areas of the country. The problem of inaccuracy and inconsistency of patients' data is often caused by lack of or poor analysis (or analytics) of data. Thus, the objective of this research was to understand the factors that influence the use and management of patients' big data for healthcare service delivery. The qualitative methods were applied, and a South African healthcare facility was used as a case in the study. Actor network theory (ANT) was employed as a lens to guide the analysis of the qualitative data. Based on the findings from the analysis, a model was developed, which is intended to guide analytics of big data for healthcare purposes, towards improving service delivery in the country.
Big Data and Global Software Engineering
Authors: Kashyap Ramgopal
Published: October 2021

A large vault of terabytes of information created every day from present-day data frameworks and digital innovations, for example, the internet of things and distributed computing. Investigation of this enormous information requires a ton of endeavors at different dimensions to separate learning for central leadership. An examination is an ebb-and-flow territory of innovative work. The fundamental goal of this paper is to investigate the potential effect of enormous information challenges, open research issues, and different instruments related to it. Subsequently, this article gives a stage to study big data at various stages. It opens another skyline for analysts to build up the arrangement in light of the difficulties, and open research issues. The article comprehended that each large information stage has its core interest. Some of this is intended for bunch handling while some are great at constant scientific. Each large information stage likewise has explicit usefulness. Unique procedures were utilized for the investigation.
Big Data Analytics in Higher Education
Authors: Shah Tanveer H.
Published: October 2021

This chapter reviews the literature on the use of business analytics in higher education. Universities have large datasets available to predict future direction and generate actionable information. An important type of analytics used to improve management processes and to make informed decisions is big data business analytics. State university executive leaders may improve the effectiveness of their decisions by integrating business analytics in the decision-making models. However, there is a need to examine the use of big data business analytics in the decision-making process at the executive leadership level of the selected state universities. Especially in the context of how descriptive, predictive, prescriptive, decisive and basic analytics, and data collection influence the decision-making process at the executive leadership level of the state universities in terms of student retention and graduation rates.
Public Administration Curriculum-Based Big Data Policy-Analytic Epistemology
Authors: Tetteh Emmanuel N. A.
Published: October 2021

The equilibration that underscores the internet of things (IoT) and big data analytics (BDA) cannot be underestimated at the behest of real-life social challenges and significant policy data generated to redress the concerns of epistemic communities, such as political policy actors, stakeholders, and the citizenry. The cognitive balancing of new information gathered by BDA and assimilated across the IoT is at the crossroads of ascertaining how the growing increases of such BDA can be better managed to transition from the big data state of disequilibration to reach a more stable equilibrium of policy data usefulness. In the quest for explicating the equilibration of policy data usefulness, an account of the curriculum-based MPA policy analysis and analytics concentration program at Norwich University is described as a case example of big data policy-analytic epistemology. The case study offers a symbolic ideology of an IoT action-learning solution model as a recommendation for fostering the stable equilibration of policy data usefulness.
Amelioration of Big Data Analytics by Employing Big Data Tools and Techniques
Authors: Dass Stephen , Prabhu J.
Published: October 2021

This chapter describes how in the digital data era, a large volume of data became accessible to data science engineers. With the reckless growth in networking, communication, storage, and data collection capability, the Big Data science is quickly growing in each engineering and science domain. This paper aims to study many numbers of the various analytics ways and tools which might be practiced to Big Data. The important deportment in this paper is step by step process to handle the large volume and variety of data expeditiously. The rapidly evolving big data tools and Platforms have given rise to numerous technologies to influence completely different Big Data portfolio.In this paper, we debate in an elaborate manner about analyzing tools, processing tools and querying tools for Big datahese tools used for data analysis Big Data tools utilize numerous tasks, like Data capture, storage, classification, sharing, analysis, transfer, search, image, and deciding which might also apply to Big data.
Big Data Technologies and Management
Authors: K. Jayashree , R. Abirami
Published: October 2021

Developments in information technology and its prevalent growth in several areas of business, engineering, medical, and scientific studies are resulting in information as well as data explosion. Knowledge discovery and decision making from such rapidly growing voluminous data are a challenging task in terms of data organization and processing, which is an emerging trend known as big data computing. Big data has gained much attention from the academia and the IT industry. A new paradigm that combines large-scale compute, new data-intensive techniques, and mathematical models to build data analytics. Thus, this chapter discusses the background of big data. It also discusses the various application of big data in detail. The various related work and the future direction would be addressed in this chapter.
Financing the Sustainable Development Goals in Sub-Saharan African Countries
Authors: Jiya Alex Nester , Falinya Ernest Roderick
Published: October 2021

The chapter seeks to provide insights on the alternatives for financing sustainable development in the Sub- Saharan Africa (SSA). It has been highlighted in the chapter that the region faces the danger of not attaining the SDGs due to poor political systems, climate change, high population growth and restricted economic growth and development. This comes in the midst of declining and unpredictable Official Development Assistance (ODA) plus other domestic and foreign financing instruments. Despite the constraints, the chapter has explored the potential for the region to attain and maintain the Sustainable Development Goals (SDGs) way beyond 2030. Sub-Saharan Africa has a lot of natural resources and a favorable demographic structure. Furthermore, the region has shown some signs of industrial development of late and increasing regional integration which are key to economic transformation. Finally, the chapter has highlighted some policy recommendations in order for the region to realise its potential and attain the SDGs.
Sustainability Report Evolution
Authors: Eugénio Teresa , Rodrigues Susana Cristina , Gonçalves Marco José
Published: October 2021

This chapter is a unique case study that aims to present the evolution of non-financial reporting in Nestlé Portugal from 2007 to 2016 with the aim to study in-depth the Nestlé sustainability report practices. This study proposes to identify the key milestones in the evolution of this type of report, to compare with the disclosure strategy of Nestlé international, to understand if this company follow the IIRC guidelines, to identify the contribution of the audit by an independent entity, to conclude if Nestlé contributes to the achieving of United Nations Sustainable Development Goals, and to identify if the awards Nestlé received matter in its sustainability initiatives. Public institutional information was preferably used, particularly the sustainability report and integrated report, processed with various work tools using the technique of content analysis. The conclusions made it possible to understand that Nestlé emerges as a company that integrates these issues into its strategy and can be a model for companies that wish to follow this report path towards sustainability.
Linking Corporate Social Responsibility Reporting With the UN Sustainable Development Goals
Authors: Monteiro Sónia , Ribeiro Verónica , Lemos Kátia
Published: October 2021

The approval of the 17 Sustainable Development Goals (SDG) within the 2030 United Nations Agenda represents a historic mark for sustainable development, allowing to companies to seek solutions that add value and solve the greatest global challenges, by linking organizational strategies and global priorities. Thus, listed companies will need to be able to assess their impact on the SDGs and review their strategies accordingly. Therefore, reporting can play a key role by informing the progress of listed companies in alignment with the SDGs. This article aims to analyse how Portuguese listed company reporting includes their contributions toward the SDGs. The study methodology is based on content analysis of the sustainability reports (SR) and non-financial statements (NFS) published in 2017, seeking to characterize the Portuguese listed companies that are concerned with SDG-related disclosure. The results indicate that from a sample of 46 listed companies, only 12 published SR or NFS, but 9 companies made the alignment with the UN goals.