bluuebunny/crossref_metadata_2025 huggingface dataset:
The structure of the software of the intelligent decision support system for the vessel's crew
Authors: Стариченков А.Л. , Скороходов Д.А. , Каминский В.Ю. , Хабаров С.П.
Published: June 2023

В статье показаны основные сложности борьбы с авариями и представлены основные пользователи системы поддержки принятия решения. Рассмотрены основные этапы, на которых программное обеспечение интеллектуальной системы поддержки принятия решения должно вырабатывать рекомендации при борьбе за живучесть судна, а также основные требования, которым оно должно удовлетворять. Представлено архитектурно-конструктивное построение судна для программного обеспечения и основные вопросы при тестировании программного обеспечения. Показан состав основных документов, необходимых для правильного функционирования программного обеспечения интеллектуальной системы поддержки принятия решения. Рассмотрены основные концептуальные модели, заложенные в программное обеспечение, такие как модели организационной системы, модели технических средств и средств борьбы за живучесть судна, модели объемно-пространственных сооружений, модели структурных элементов помещения и модели структурных элементов ограждающих конструкций. Показаны основные направления использования программного обеспечения. Приведен возможный перечень алгоритмов при борьбе с пожаром, при борьбе с водой и при борьбе за живучесть технических средств.

The article shows the main difficulties in dealing with accidents while ensuring the operability of equipment complexes. The main users of the decision support system are presented. The main stages at which the software of the intelligent support and decision-making system should develop recommendations in the fight for the survivability of the vessel, as well as the main requirements that it must satisfy, are considered. The architectural and constructive construction of the vessel for software and the main issues in software testing are presented. The composition of the main documents necessary for the correct functioning of the system is shown, which contains the software of the intelligent support and decision-making system. The main conceptual models embedded in the software, such as models of the organizational system, models of technical means and means of fighting for the survivability of the vessel, models of three-dimensional structures, models of structural elements of the premises and models of structural elements of enclosing structures, are considered. The main directions of using the software are shown. A possible list of algorithms for fighting fire, fighting water and fighting for the damage of technical means is given.
On the issue of setting the problem of protecting the Arctic coastal area from noise pollution during the development of the transport network
Authors: Котенко А.Г. , Кузнецова Е.Ю.
Published: June 2023

Перспектива совмещения морской и железнодорожной инфраструктуры в прибрежной зоне Российской Арктики путем формирования универсальных перегрузочных комплексов на базе крупных морских портов Северного морского пути требует адекватного масштаба исследований экологических факторов, одним из которых является шумовое загрязнение прибрежной зоны. Суть проблемы заключается в сложности оценки параметров шумоизлучения, распространяемого действующими перегрузочными комплексами. Такая сложность обусловлена разнородностью шумоизлучения (совмещение потоков постоянного, переменного, импульсного и инфразвукового шума), неоднородностью и большой площадью шумового фона, что делает невозможным использование существующих методик оценки и нормирования шумозагрязнения. В этой связи возможным решением проблемы может стать структурная оптимизация шумоизлучения универсальных перегрузочных комплексов с разработкой программ локализации зон шумоизлучения для каждого конкретного случая на предварительных этапах проектирования. То есть, выбор лучшего с позиций близости к естественному уровню шума варианта структурного построения перегрузочного комплекса и исключения из рассмотрения экологически опасных вариантов. Авторами предложен подход к формализации механизма структурной оптимизации шумоизлучения универсальных перегрузочных комплексов на основе представления его в виде модели однокритериальной задачи выбора.

The prospect of combining marine and railway infrastructure in the coastal zone of the Russian Arctic by forming universal transshipment complexes based on large seaports of the Northern Sea Route requires an adequate scale of research on environmental factors, one of which is noise pollution of the coastal zone. The essence of the problem lies in the complexity of estimating the parameters of noise emission propagated by operating overload complexes. This complexity is due to the heterogeneity of noise emission (the combination of streams of constant, alternating, pulsed and infrasound noise), heterogeneity and a large area of noise background, which makes it impossible to use existing methods for assessing and normalizing noise pollution. In this regard, a possible solution to the problem may be the structural optimization of noise emission of universal overload complexes with the development of programs for localization of noise emission zones for each specific case at the preliminary design stages. That is, the choice of the best option for the structural construction of the transshipment complex from the standpoint of proximity to the natural noise level and exclusion from consideration of environmentally hazardous options. The authors propose an approach to formalizing the mechanism of structural optimization of noise emission of universal overload complexes based on its representation as a model of a single-criteria selection problem.
Selection of the component of an automated mooring device in the concept of maritime autonomous surface ships (MASS)
Authors: Заслонов В.В. , Стуконог С.Н.
Published: June 2023

В статье рассмотрена проблема выбора узла автоматизированного швартовного устройства при внедрении МАНС во время выполнения морских операций. Описано преимущество электромагнитных решений перед вакуумными устройствами, путём построения графика зависимостей тягового усилия, от общего коэффициента усилия, благодаря которому было выявлено, что при относительно равных исходных данных тяговое усилие в магнитных системах на 200-300% эффективней вакуумных устройств. Были разработаны в виртуальной среде моделирования экспериментальные модели для оценки конструктивных особенностей как единично, так и в рамках пластины, на которой размещено 12-ть узлов. Модели были испытаны разными значениями нагрузок с имитацией оттяжки и прижима для получения спектральных карт с целью анализа распределения напряжения, тепла и прочих физических параметров. По результатам имитационного моделирования установлено, что узел с электрически-управляемым постоянным магнитом (ЭУПМ) а также с электромагнитом являются необходимым решением для выполнения задач швартовки. Проведено исследование прочности пластины, итогом которого стал вывод, что основную нагрузку на себе несет конструкция швартовного устройства.

The article considers the problem of choosing a node of an automated mooring device when introducing MASS during offshore operations. The advantage of electromagnetic solutions over vacuum devices is described by plotting the dependence of traction force on the total force coefficient, due to which it was found that with relatively equal initial data, traction force in magnetic systems is 200-300% more efficient than vacuum devices. Experimental models were developed in a virtual simulation environment to evaluate design features both individually and within a plate on which 12 nodes are placed. The models were tested with different load values, simulating pulling and pressing, to obtain spectral maps in order to analyze the distribution of stress, heat and other physical parameters. According to the results of simulation modeling, it was found that an assembly with an electrically controlled permanent magnet (ECPM) as well as an electromagnet is a necessary solution for performing mooring tasks. A study of the strength of the section was carried out, the result of which was the conclusion that the main load is borne by the design of the mooring device.
Modeling the influence of the reliability of technical condition MASS server complex monitoring on its operational reliability
Authors: Чернова А.И. , Старжинская Н.В.
Published: June 2023

В статье рассматриваются вопросы обеспечения эксплуатационной надёжности серверного комплекса судовой автоматической навигационной системы в аспекте внедрения концепции a-Navigation. Предложена математическая модель оценки влияния качества контроля технического состояния рассматриваемого оборудования на комплексный показатель его эксплуатационной надежности (коэффициент готовности), с учетом структурного резервирования и неидеальности функционирования средств контроля. Разработан граф состояний рассматриваемой сложной технической системы, предложена аналитическая модель оценивания показателей готовности отказоустойчивой вычислительной системы автономного судна и c применением программной среды MathCAD построены зависимости коэффициента готовности резервированной системы от метрологических характеристик (ошибок контроля первого и второго рада) применяемых средств контроля технического состояния. Также показано существенное влияние качества функционирования встроенных систем контроля оборудования МАНС на его надежность и безопасность мореплавания в целом.

The article deals with the issues of ensuring the operational reliability of the server complex of the ship's automatic navigation system in the aspect of the implementation of the a-Navigation concept. A mathematical model is proposed for assessing the influence of the quality of monitoring the technical condition of the equipment under consideration on a complex indicator of its operational reliability (availability factor), taking into account structural redundancy and non-ideal functioning of control facilities. A graph of the states of the considered complex technical system has been developed, an analytical model for estimating the readiness indicators of a fault-tolerant computing system of an autonomous vessel has been proposed, and using the MathCAD software environment, dependences of the redundant system availability factor on the metrological characteristics (control errors of the first and second range) of the technical condition control means used have been constructed. It also shows a significant impact of the quality of functioning of the built-in control systems of the MASS equipment on its reliability and safety of navigation in general.
Investigations of Microstructure and Mechanical Properties of Lap Jointed Dissimilar Metals by Friction Stir Spot Welding Process
Authors: D Karunakaran , VSK Venkatachalapathy
Published: June 2023

The joining of different materials is required for industrial application to utilize the hydride structures with attractive advantages such as superior strength to weight ratio, low cost, high tensile strength and less weight of the component. Specifically, Al-Cu composite material is widely used in foil conductors of a transformer, electrical connectors, foil windings in capacitors and tubes in heat exchangers. However, joining or spot welding the Al parts to Cu parts are significant challenge owing to variation in mechanical properties and chemical compositions of joining materials. In this present research work, the friction stir spot welded process (FSSWP) is carried out to join the Al and Cu materials. Further, microstructure and mechanical properties of friction stir spot welded specimens (FSSW) are studied at different tool rotational speeds likely from 1000rpm to 1500rpm. The microstructural study is carried out using scanning electron microscope images at the interface and overall welded region. The tensile strength of both single and double spot-welded specimens is analyzed using a universal tensile test machine. The output of this study states that the optimal tool rotational speed is 1500rpm for both single and double spot-welded specimens. Moreover, the double spot-welded specimen exhibits more tensile with a crack-free spot-welded surface than that of the single spot-welded specimen. The tensile strength double spot-welded specimen has a 6.8% higher strength than that of a single spot-welded specimen. Based on the present study, it is concluded that the double spot-welded specimen can be used for different industrial applications to replace Cu material with this Al-Cu material that gives added advantages to those components.
A Review of Nanotechnology for Seismic Safety in Structures
Authors: Nishtha Sahu  , Shahrukh Ali
Published: June 2023

Many earthquakes have occurred worldwide in recent decades, resulting in massive destruction and structure collapse due to poor seismic design. The goal is to design structures so that damage to them is minimized and to construct structures that are safe, sustainable, and durable for future generations. Nanotechnology is one of the most promising technologies of the twenty-first century, and it is gaining traction in the building industry. The main goals of this work are to provide a quick review of the possible benefits of nanotechnology before discussing nanotechnology innovation for structural seismic safety. Several studies and analyses have shown that using nanotechnology could improve traditional construction materials like concrete and steel performance and properties. During the review, it was discovered that nanotechnology has the potential to revolutionize the traditional engineering business and aid in meeting the demand for sustainable development.
Defect Size Characterization in Unidirectional Curved GFRP Composite by TSR Processed Pulse and Lock in Thermography: A Comparison Study
Authors: R Gomathi , K Ramkumar
Published: June 2023

Glass fiber reinforced polymer (GFRP) curved composite is widely used in industries due to its high corrosive resistance nature. GFRP curved composites are involved in many industries like petrochemical industries for handling oil and gas at offshore platforms, chemical processes such as chemical storage tanks, desalination, and water treatment. Since alloy steel materials get corroded by environmental factors such as excess salinity in the surrounding environment, mud deposition, and sulfur crude accumulation makes alloy steel pipes are expensive to maintain. Every year billions of dollars can be saved by corrosion prevention using Glass Fiber Reinforced Polymer (GFRP) pipes instead of alloy steel pipes. In-service stage of the GFRP pipe or tank, different types of defects are forming such as void, delamination, and wall loss (pits). Among all these defects, pits or wall loss is one of the severe defects which may lead to leakage accidents. The objective of the study is the quantification of defect size by using TSR processed pulsed and lock-in thermography and analyses their capabilities in defect size quantification. TSR processed the PT image and the signal to noise ratio was used to estimate the defect size quantification. For defect size measurement, the TSR-processed PT thermal results are recommended and the near-surface defects can be measured with high accuracy in LT.
Effect of Ramadan Fasting on DNA Repair, Immune System, Inflammation and Cognitive Function in Chronic Kidney Disease Patients: A Systematic Literature Review
Authors: Priyono Drajad , Harnavi Harun  , Deka Viotra  , Zaki Mahmudi Dasril
Published: June 2023

Background: There have been many studies that say Ramadan fasting has a positive effect on reducing BMI, blood sugar, inflammatory factors, and DNA Repair. However, there are still no guidelines for fasting in patients with chronic kidney disease (CKD) both nationally and internationally. This study aimed to conduct a review to explore the effects of Ramadan fasting against chronic kidney disease, specifically on DNA repair, Immune System, Inflammation, and Cognitive Function in patients with chronic kidney disease.

Methods: This study is a systematic literature review (SLR) with sources obtained from various reputable journal databases such as PubMed, Cochrane Library, EBSCO, and Elsevier using relevant keywords. The selected articles have passed the inclusion and exclusion criteria. A total of 39 articles that discuss fasting were obtained from Ramadan in chronic kidney disease patients on metabolic response and inflammatory markers in the body.

Results: Ramadan fasting has a positive effect on the response to anti-inflammatory, expression of protective genes, markers of kidney and liver function, protective proteome, and oxidative stress.

Conclusion: Ramadan fasting may provide a short-term protective effect against levels of systemic inflammation.
The Potential of Jamblang Root or Java Plum (Syzygium cumini) in Medicinal Uses: A Systematic Review
Authors: Anita Fajriyani  , Anisah Fitriyani  , Ridha Alisthipa Sephia  , Hidayah Himyatul
Published: June 2023

Jamblang root has long been used in traditional medicine as a natural remedy for various health conditions. This study aimed to present a systematic review to explore the potential of jamblang roots in the health sector. This study is a systematic literature review in which exploration was carried out literature from various reputable scientific publication databases. This study follows the preferred reporting items for systematic reviews and meta-analysis (PRISMA) recommendations. Several studies have shown that jamblang root has anti-inflammatory properties that can help reduce inflammation in the body. In conclusion, jamblang root or java plum (Syzygium cumini) has the potential for anti-diabetic, anti-inflammatory, antioxidant, hepatoprotective, and astringent effects.
Keefektifan Metode Pembelajaran Talking Stick Untuk Meningkatkan Semangat belajar Siswa dalam Pembelajaran PPKn
Authors: Icha Amelia  , Anjeli Harpina Purba  , Reh Bungana Br. Perangin-Angin
Published: June 2023

The main purpose of this research is to produce interesting learning methods in Pancasila and Citizenship Education subjects that can increase students' enthusiasm for learning, then to determine student learning outcomes using the talking stick learning method and how students respond to the talking stick learning method. This research is a descriptive quantitative research conducted in the even semester of the 2021/2022 academic year, which is located at SMP Negeri 35 Medan. The sample is class VIII B SMP Negeri 35 Medan. The sampling technique used is saturated sampling, that is, all of the population is sampled. The results of this research is that the students of class VIII B SMP Negeri 35 Medan are very enthusiastic about the talking stick learning method in civics learning. Students feel happy with the talking stick learning method than can eliminate drowsiness and boredom when learning civics, increase curiosity about civics learning materials, and the instructions given can be easily understood by students. So that the talking stick learning method is effective to be applied in the civics learning proses to increase students' enthusiasm for learning
The Impact of Compressor Degradation on The Optimized Fleet Compositions, Optimized Thermal Efficiencies, and The Operations & Maintenance Cost of Fleets of a Reheat Engine Running on Associated Gas Fuel
Authors: Obhuo Mafel , Okuma Silas O. , Aziaka Duabari Silas
Published: June 2023

Associated gas is a viable source of fuel for industrial gas turbines. Flaring of this fuel resource has not only resulted in environmental pollution and deterioration but also huge energy and economic loss. TURBOMATCH, a Cranfield University performance simulation software was used in modeling a hypothetical but realistic 296MW reheat gas turbine engine.The study was carried out using one clean fleet and three degraded fleets – the optimistic, medium, and pessimistic. Optimization of the fleet compositions and thermal efficiencies were achieved using Genetic algorithm. Detailed operations and maintenance costs analysis for the various fleets were carried out. .Results from the optimization show the optimized fleet compositions, from the various fleets and their turbine entry temperatures for 20 years life span of the project. the result from the 11th to the 20th year of the project, only one unit of engine was left due to engine divestment.  Results of the optimized efficiencies for all the fleets show a gradual reduction in optimized efficiencies over the years of the project. Similarly, for all the scenarios considered, from the 11th to the 20th year of the project, with only one unit of engine left, the optimized efficiency trend is observed to be Clean > Optimistic > Medium > Pessimistic.Results from the fleets operations and maintenance costs show that the clean, optimistic, medium, and pessimistic degraded fleets have total operations and maintenance costs to be 1.224, 1.242, 1.265, and 1.297 billion US dollars respectively. Engine degradation resulted to 1.4%, 3.3%, and 5.9% increase in the operations and maintenance costs of the optimistic, medium, and pessimistic degraded fleets respectively.The results, approach and methodology presented in this paper would be a very useful decision-making tool for investors and governments who would want to invest in the economic utilization of associated gas using gas turbines.
Towards Improving 5G Quality of Experience: Fuzzy as a Mathematical Model to Migrate Virtual Machine Server in The Defined Time Frame
Authors: Hidayat Taufik , Ramli Kalamullah , Mardian R. Deiny , Mahardiko Rahutomo
Published: June 2023

The industry and government have recently acknowledged and used virtual machines (VM) to promote their businesses. During the process of VM, some problems might occur. The issues, such as a heavy load of memory, a large load of CPU, a massive load of a disk, a high load of network and time-defined migration, might interrupt the business processes. This paper identifies the migration process among hosts for VM to overcome the problem within the defined time frame of migration. The introduction of VMs migration in a timely manner is to detect a problem earlier. There are workload parameters, such as network, CPU, disk and memory as our parameters. To overcome the issue, we have to follow the Model named Fuzzy rule. The rule follows the basic of tree model for decision-making. The application of the fuzzy Model for the study is to determine VMs allocation from busy VMs to vacant VMs for balancing purposes. The result of the study showed that the use of the fuzzy Model to forecast VMs migration based on the defined rule had 2 positive impacts. The positive impacts are (1) Time frame live migration of VMs can reduce workload by 80 %. This aims to reduce failures in performing a live migration of VMs to increase data center performance. (2) In testing, the fuzzy Model can provide results with an accuracy of 90 %, so this model can perform a live migration of VMs precisely in determining the execution time. Next, the workload could be balanced among VMs. This research could be used further to improve 5G Quality of Experience (QoE) shortly.
Using Holt Winter 2 Variable Modelling To Analyze The Potential Combining Of Zakat Collection In Three Countries In Southeast Asia As One Business Centre
Authors: Marizal Muhammad , Mansur Afrizal , Hanaish Ibrahim Sulaiman , Jamaluddin Jamaluddin , Darussaamin Zikri , Kasmuri Kasmuri , Saifullah Saifullah
Published: June 2023

The Covid 19 outbreak has taught businesses all over the world that they must have a business that can not only survive but also thrive in the face of the pandemic. The income from the Zakat, which is one of Islam's teachings about stable business, tends to rise despite the pandemic. As most Muslim countries on the planet, Indonesia, Malaysia, and Singapore have shown that their Zakat Organization, which is utilized to gather gifts from the public every year, expanded dramatically during the pandemic. The primary focus of this investigation will be the data on annual income from Indonesia, Malaysia, and Singapore, three of the world's most Muslim nations. The fact that some businesses will always be loyal to the government is the foundation of the statistical modeling theory that aims to predict the annual zakat income in five and ten years. Holt Winter's statistical modeling of two variables will be used to guarantee accurate forecasting. It accurately generates comparable annual data for the three nations. Likewise, that might act as a strong starting point for using measurable displaying to gauge the zakat gathered in the resulting five and a decade. The zakat revenue will continue to significantly rise in each nation as the study concludes. This result also indirectly demonstrated that businesses in every nation will be able to combine zakat as a blessing without experiencing deflation in Southeast Asia
Identification Of Covid-19 Patients' Effect On Education Outcomes In Islam Majority Student Using Spatial Analysis
Authors: Anwar Kharil , Husti Ilyas , Alwizar Alwizar , Zamsiswaya Zamsiswaya , May Asmal , Mansur Amril , Makhfuzat Makhfuzat
Published: June 2023

The COVID-19 epidemic has had an impact on the educational landscape, particularly the move to a remote learning model utilizing internet media. This system has so many issues that we need to do an extensive educational assessment of the subject. In order to create an educational map of the mathematics learning scores of the Islam Majority Student population during the COVID-19 epidemic in SMP Pekanbaru City, Indonesia, this study used spatial analysis. The distribution of the number of patients who tested positively was related to the geographical analysis of the learning score. The majority of the city's western and eastern regions had few patients and did not improve the score for mathematics education, according to a comparison of the two maps. On the other hand, a small percentage of the northern and western regions revealed that the few patients raised the Mathematics education score. A tiny portion of the southern region discovered that the score for mathematics education fell as the proportion of positive patients rose. Furthermore, the fewest patients are found in tree-lined, deserted locations, yet there are still few schools there. In Pekanbaru City, the majority of the schools are still located in urban areas devoid of pleasant open spaces.
Favorite Book Prediction System Using Machine Learning Algorithms
Authors: Daimari Dersin , Mondal Subhash , Brahma Bihung , Nag Amitava
Published: June 2023

Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to take intelligent decisions. AI breakthroughs could radically change modern libraries' operations. However, introducing AI in modern libraries is a challenging task. This research explores the potential for smart libraries to improve the caliber of user services through the use of machine learning (ML) techniques. The proposed work investigates machine learning methods such as Random Forest (RF) and boosting algorithms, including Light Gradient Boosting Machine (LGBM), Histogram-based gradient boosting (HGB), Extreme gradient boosting (XGB), CatBoost (CB), AdaBoost (AB), and Gradient Boosting (GB) for the task of identifying and classifying Favorite books and compares their performances. Comprehensive experiments performed on the publicly available dataset (Art Garfunkel's Library) show that the proposed model can effectively handle the task of identifying and classifying Favorite books. Experimental results show that LGBM has achieved outstanding performance with an accuracy rate of 94.9367% than Random Forest and other boosting ML algorithms. This empirical research work takes advantage of AI adoption in libraries using machine learning techniques. To the best of our knowledge, we are the first to develop an intelligent application for the modern library to automatically identify and classify Favorite books
Classification Academic Data using Machine Learning for Decision Making Process
Authors: Haerani Elin , Syafria Fadhilah , Lestari Fitra , Novriyanto Novriyanto , Marzuki Ismail
Published: June 2023

One of the qualities of higher education is determined by the success rate of student learning. Assessment of student success rates is based on student graduation on time. Sultan Syarif Kasim State Islamic University Riau is one of the state universities in Riau, with a total of 30,000 students. Of all the active students, there are some who are not. Students who are not active in this case will affect the timeliness of their graduation. The university always evaluates the performance of its students to find out information related to the factors that cause students to become inactive so that they are more likely to drop out and what data affect students being able to graduate on time. The evaluation results are stored in an academic database so that the data can later be used as supporting data when making decisions by the university. This research used data science concepts to explore and extract data sets from databases to find models or patterns, as well as new insights that can be used as tools for decision-making. After the data was explored, machine learning concepts were used to identify and classify the data. The method used was the Decision Tree Method. The results of the study found that these two concepts can provide the expected results. Based on the test results, it is known that the attribute that influences the success of student studies is the grade point average (GPA), where the accuracy of the maximum recognition rate is 88.19%.

Keywords : Data science; Decision Tree; Graduate on Time; Machine Learning;
"Man får skära drömmar och vill nedskriva poem i poesialbum"
Authors: Henriksson Blanka
Published: June 2023

Lectio praecursoria 2.11.2007.
Den kvinnliga, eviga skönhetens bilder
Authors: Klinkmann Sven-Erik
Published: June 2023

I denna text vill jag presentera resultatet av en kultursemiotisk analys av hur några tidningsannonser för ansiktskrämer framställer kvinnoansikten och kvinnlighet. Jag har undersökt sammanlagt ett drygt tjugotal annonser för ansiktskrämer. Annonserna är tagna från fem slumpvis valda dam och modetidningar, köpta våren 2007: finska Olivia mars 2007, finska MeNaiset 22.3.2007, svenska Laura april 2007, den svenska utgåvan av Elle mars 2007 och den tyska utgåvan av Vogue januari 2007. Det jag intresserat mig för är frågan om hur kvinnor, kvinnoansikten och -hy presenteras i mode- och kvinnotidningsannonserna.
Oväntad död – förväntad sorg
Authors: Sandberg Christina
Published: June 2023

Recension av: Lundgren, Britta 2006: Oväntad död – förväntad sorg. En etnologisk studie av sörjandets processer. (Etnologiska skrifter 37.), Carlsson Bokförlag, Stockholm. 182 sidor.
Tillstånd för bidragets nätpublicering saknas. Om du äger rättigheterna och vill ge tillståndet, vänligen kontakta budkavlen@abo.fi.
En populärkulturforskningens Gott och blandat -påse
Authors: Löfgren Jacob
Published: June 2023

Recension av: Klinkmann, Sven-Erik 2006: På drömmarnas marknad. Ikoner, fantasibilder och klichéer i populärkulturen. Hedemora, Gidlund. 352 s.
Hur häxorna lärde sig flyga och andra avslöjanden om Europas häxprocesser
Authors: Harjunen Catarina
Published: June 2023

Recension av: Nenonen, Marko 2006: Noitavainot Euroopassa. Myytin synty. Jyväskylä: Atena kustannus. 303 s.
Brett om bädden
Authors: Huldén Niklas
Published: June 2023

Recension av: Sammallahti, Leena & Lehto, Marja-Liisa 2006: Suomalainen sänky. Kansanomaisten vuodekalusteiden historiaa. (Suomalaisen Kirjallisuuden Seuran Toimituksia 1094.) SKS, Helsinki. 227 s.
Tetranychus ludeni Zacher, 1913 (Tetranychidae) and Phytoseiulus macropilis (Banks, 1904) (Phytoseiidae) in apple trees grown in a greenhouse in southern Brazil: injuries and control
Authors: Rode Priscila A. , Wurlitzer Wesley B. , Ferla Noeli J.
Published: June 2023

This study reports the presence and injuries caused by Tetranychus ludeni Zacher, 1913 (Acari: Tetranychidae) on apple tree seedlings (Malus domestica Borkh: Rosaceae) in nurseries in southern Brazil. The ability of the predatory mite of Phytoseiulus macropilis (Banks, 1904) (Acari: Phytoseiidae) to control T. ludeni infestations in this environment was also evaluated. Tetranychus ludeni infestation was observed during routine monitoring at the Acarology Laboratory of the University of Vale do Taquari - Univates, Lajeado, Rio Grande do Sul. Injuries were observed on the leaves, with gradual growth linked to the population increase of T. ludeni. In the control seedlings, there was defoliation and weakening of the plant. Phytoseiulus macropilis released on infested plants controlled the populations of this phytophagous mite. Fifty specimens of P. macropilis were released in each seedling. Tetranychus ludeni caused injuries to apple seedlings, while P. macropilis proved to be efficient in controlling this phytophagous mite.
HUKUM KEWARISAN DI INDONESIA
Authors: Lusiana Vinna
Published: June 2023

Inheritance law in the Compilation of Islamic Law (KHI) and the Civil Code (KUHPer) are two written laws that regulate the division of inheritance in Indonesia. The KHI applies to Muslims, while the KUHPer applies to non-Muslims. The differences in these provisions pose challenges and complexities in enforcing inheritance law in Indonesia. This study utilizes library research with a juridical-normative method. The author found that Islamic inheritance provisions are contained in Articles 171-193, 209-214, based on the provisions of Surah Al-Nisā’ verses 7, 11, 12, 33, and 176. On the other hand, the KUHPer is regulated in Articles 839-1149. Regarding inheritance acquisition, the KHI regulates it in the form of inheritance acquisition by children, fathers and mothers, widowers and widows, and inheritance acquisition by siblings with predetermined portions in the KHI. Meanwhile, the KUHPer divides it into two major groups, namely lawful heirs without illegitimate children recognized legally and lawful heirs together with recognized illegitimate children. These differences in inheritance provisions provide clarification, regulations, dispute resolution, child protection, and harmony to raise public awareness of inheritance rules.
Measuring Methods in Marketing Performance of Plered Ceramic MSMEs
Authors: Taufik Edi Rahmat
Published: June 2023

This study aims to analyze marketing performance on the direct and indirect influence of external environmental variables and market orientation through the mediation of product innovation. The data of this quantitative research was harvested from questionnaires distributed to 184 owners of Plered Ceramics business, selected through saturated sampling, and was analyzed using Structural Equation Modeling in SmartPLS. This study finds that external marketing environment and market orientation positively and significantly influence marketing performance and product innovation, that product innovation affects marketing performance, and that product innovation mediates the effect of marketing orientation on marketing performance and the effect of external marketing environment on marketing performance.
Money Market Instruments and Price Stability in Nigeria: 1981 – 2021
Authors: Appah Ebimobowei , Tebepah Sekeme Felix
Published: June 2023

The study examined money market instruments and price stability in Nigeria. The study specific objectives include to investigate the relationship between treasury bills, treasury certificates, development loans stock, bankers’ acceptance, commercial papers and federal government of Nigeria bonds on consumer price index in Nigeria. The study adopted purposive sampling technique and the sample size consist time series data from 1981 to 2021. The study used secondary data obtained from Central Bank of Nigeria (CBN) statistical bulletin and National Bureau of Statistics (NBS) and the data were analysed using univariate, bivariate and multivariate analysis. The findings from the error correction model indicated that treasury bills negatively and insignificantly influence consumer price index in Nigeria; treasury certificates positively and significantly influence consumer price index in Nigeria; development stocks positively and significantly affects consumer price index in Nigeria; certificates of deposits positively and insignificantly influence consumer price index in Nigeria; commercial papers negatively and insignificantly influence consumer price index in Nigeria; bankers’ acceptance positively and significantly influence consumer price index in Nigeria and federal Government of Nigeria bonds positively and insignificantly impact on consumer price index in Nigeria. On the basis of the findings, the study concludes that money market instruments on the short and long run affects price stability in Nigeria. Hence, the study recommends amongst others that government should established effective and efficient stabilization policies and quality of public sector governance that would ensure that prices of goods and services and money market instruments are stable for sustainable economic growth of Nigeria.
Relationship Between Clan Culture and Performance of Public Secondary Schools in Turbo Sub County, Kenya
Authors: Mgumba Patrick , Misoi Meshack , Githinji Robert
Published: June 2023

Performance indicates how effectively and efficiently business strategy has been implemented. It has been associated with the extent to which organization achieves its goal. This study treated Performaance of Secondary schools in terms of achievement of national goals of education which include promotion of social, economic, technological and industrial skills assessed in terms of academic performance. The process of goal achievement involves daily organizational operations which constitute organization culture. This study sought to find out whether there is any relationship between clan culture and performance of public secondary schools in Turbo Sub-county, Kenya. The study will add knowledge to the existing literatures on clan culture and performance. It will benefit various entities and education stakeholders. The study was hinged on goal setting theory proposed by Edwin Locke, Cameroon and Queen Model. Reviewed literatures on the topic exhibited some inconsistencies which prompted this study to be conducted. Correlational research design was adopted targeting all 31 public secondary schools across Turbo Sub County. Stratified random sampling procedure was employed and self-administered questionnaires and document analysis guide were used in data collection. The sample size of 181 teachers with TSC registration and permanently employed was used. Pearson product moment correlation and regression model were utilized in data analysis. The study found positive and significant relationship between clan culture and performance of secondary schools in Turbo Sub County. The study therefore recommends the schools to nurture and embrace clan cultural traits to enhance performance of public secondary schools across Turbo Sub County, Kenya.
Resignificando las competencias docentes desde la integralidad tecnológica
Authors: Zambrano Armijos, Judith de Fátima , Romero Apolo Mariela del Carmen , Salazar Álvarez, Jaime Javier
Published: June 2023

El docente en su accionar, ha de lograr un proceso de reflexión continua, prominente de comprensión de ese encargo o responsabilidad social que atañe su rol; por ello, su sistema de enseñanza debe trascender el monismo de hacer o pensar desde una única manera de formar y aprender. Realidad que demanda asumir, un medio enriquecedor desde la conciencia humanista e instrumental, para lograr atender la divergencia cognitiva en el aula de clase, otorgando un sentido reconstructivo al escenario pedagógico. Estas características axiológicas, permiten plantear como propósito, comprender desde el argot documental cómo el docente de educación general básica de Ecuador, resignifica sus competencias desde la integralidad tecnológica; alternativa implicadora que motiva a repensar la praxis mediante la novedad, donde, la didáctica adquiere singularidad desde el avance multiexistencial, caracterizado por la globalización y, con ello, su implicación edutecnológica, revestida en las necesidades e intereses escolares, diversificando las estrategias didácticas en la integralidad cognitiva.
Las actividades artísticas como una estrategia didáctica institucional para potencializar la inteligencia intrapersonal
Authors: Morocho Pichasaca Manuel Cruz , Sinchi Ana Lucila , Figueroa Solano Marco Fernando , Carpio Guevara Ana Lucía
Published: June 2023

Este artículo ha buscado analizar los niveles en los que se desarrollan las actividades artísticas y cómo estas contribuyen a lograr habilidades de pensamiento interpersonal de los estudiantes, para ello se ha utilizado el método PRISMA, con el fin de sistematizar la información, encontrándose que existen 455 artículos. sistematizando y finalmente seleccionando 135 artículos con los cuales se encontró los resultados mostrando que para las actividades artísticas el canto se desarrolla en un 19%, la danza con un 28%, las actividades musicales con un 29% y el dibujo y la pintura con un 24%, estas actividades desarrollan habilidades de autoconocimiento. en los estudiantes con un 31%, autocontrol con un 28%, autodisciplina con un 20% y finalmente autoestima con un 21%, siendo estas necesarias para generar un adecuado pensamiento intrapersonal en los estudiantes. estudiantes.
Aplicación didáctica de las técnicas de lectura para mejorar el rendimiento académico en los estudiantes educación básica
Authors: Curipoma Silva Gloria Esperanza , Bermeo Sinchi Janneth Esperanza , Pullaguari Uchuari Bélgica Lucía , Sanmartín González María Ruth
Published: June 2023

El presente estudio tuvo como objetivo principal analizar la aplicación didáctica de técnicas de lectura para mejorar el rendimiento académico en estudiantes de educación básica, para lo cual se aplicó una metodología de búsqueda y selección de información secundaria relevante, que es el diagrama PRISMA, con el cual se inició el análisis. con 409 artículos en el nivel de identificación, 321 para el nivel de proyección, 171 en elegibilidad y finalmente 95 para los artículos incluidos. Los resultados mostraron que las técnicas de lectura más utilizadas son las técnicas de lectura rápida con un 39% y en el caso del rendimiento académico el factor más importante fue la participación con un 41%.
Principales problemáticas en el proceso del aprendizaje lecto escritor en los primeros años de escolaridad
Authors: Sanmartín González María Ruth , Curipoma Silva Gloria Esperanza , Bermeo Sinchi Janneth Esperanza , Pullaguari Uchuari Bélgica Lucía
Published: June 2023

La presente investigación ha buscado analizar los principales problemas que tienen los niños para lograr un adecuado manejo de la lectura y escritura, para lograr este objetivo se ha desarrollado una búsqueda de información secundaria utilizando el modelo PRISMA, en el cual se localizaron 525 documentos. y luego de desarrollar un análisis y sistematización de los datos, se logró obtener 97 documentos con los que se elaboró el estudio, llegándose a indicar que el 18% se presenta por factores genéticos, el 25% por problemas neurológicos, el 35% por problemas fonológicos procesamiento y el 23% por factores psicológicos, concluyendo que los problemas que tienen los niños para que no puedan desarrollar un adecuado manejo de la lectura y escritura son varios, pero deben ser atendidos oportunamente, diagnosticando las situaciones que presenta cada estudiante.
Rol del Docente en el aula para potencializar el desarrollo del pensamiento abstracto
Authors: Sinchi Ana Lucila , Morocho Pichasaca Manuel Cruz , Carpio Guevara Ana Lucía , Figueroa Solano Marco Fernando
Published: June 2023

El propósito de este artículo es analizar los niveles del rol del docente en el aula y cómo este potencia el desarrollo del pensamiento abstracto en los estudiantes, para lograr estos objetivos se ha desarrollado una búsqueda de información secundaria relevante, la cual ha sido sistematizada bajo la modalidad del modelo PRISMA, con el cual se han obtenido un total de 602 documentos y una vez desarrollada la sistematización de los artículos se han obtenido 120 documentos seleccionados con los cuales se encontraron los resultados del estudio, indicando que los niveles del rol del docente , fueron la metodología grupal con un 17%, la metodología adaptada al alumno con un 23%, la afectividad con un 27% y la profesionalidad con un 33%, seguidos de los resultados del pensamiento abstracto fueron las habilidades de representación mental con un 35%, el modelado de objetos con El 42% y el 23% la creación de procesos o fenómenos de la realidad o la imaginación, concluyendo que una buena educación genera un adecuado pensamiento abstracto en los estudiantes.
El debido procedimiento administrativo y vacancia presidencial en el Perú
Authors: Oropeza Bayona Henry Eduardo , Mendoza Giraldez Elizabeth
Published: June 2023

El articulo trata de un análisis si se realizó un debido procedimiento administrativo en la vacancia presidencial según el Reglamento del Congreso y la Constitución Peruana. Se realizó un análisis documental acerca del debido procedimiento administrativo y la vacancia presidencial en el Perú están regulados por normas y leyes establecidas para garantizar el debido proceso y la justicia en la toma de decisiones. En caso del proceso de vacancia presidencial, se vulneraron sus derechos del expresidente al incumplimiento de las etapas y plazos establecidos por la ley, en el que no se garantizó la transparencia ni la imparcialidad en el proceso de vacancia por incapacidad moral.
Informe de caso: astrocitoma de bajo grado durante el periodo gestacional
Authors: Peñaloza Piña Bertha Mercedes , Cuatin Ruiz Alez Kevin , Mejia Barros Katerin Alejandra , Cordova Tacuri Samantha MIshelle , Nevarez Perrazo Alejandro David
Published: June 2023

La asociación de un tumor cerebral con el embarazo pone en riesgo dos pronósticos vitales el de la madre y del feto, se reporta un caso de una paciente de 27 años de edad, con antecedentes de astrocitoma de bajo grado diagnosticado hace 3 años posterior a su primer embarazo. Actualmente cursa su segundo embarazo de 9.6 semana, con diagnóstico de recidiva de la lesión tumoral, con cuadro neurológico marcado. Existe muy poca evidencia al respecto y creemos que este ´podría ser el primer caso reportado en el país.
Las ecuaciones estructurales y sus aplicaciones técnicas: Un análisis teórico
Authors: Farfán-Pimentel Johnny Félix , Godoy-Cedeño Carlos Enrique , Delgado-Arenas Raúl , Abad-Escalante Karol Moira
Published: June 2023

En la actualidad el campo de la investigación científica tiene un rol trascendental en el desarrollo científico y tecnológico de los países de la región Latinoamericana y el Caribe, las múltiples problemáticas en los diferentes campos del quehacer humano como la educación, la salud, el transporte, los servicios públicos entre otros han impulsado la necesidad de ahondar en métodos y procedimientos estadísticos para el análisis de variables; en ese sentido, los modelos de ecuaciones estructurales son herramientas estadísticas multivariadas que posibilitan la obtención de estructuras matemáticas que brindan una mayor información de situaciones de naturaleza compleja, que posibilitará su abordaje para la estructuración de modelos teóricos aplicados a distintas disciplinas científicas. La metodología utilizada es de tipo básica, de nivel descriptivo y explicativo y de diseño no experimental. El objetivo fue analizar los modelos de ecuaciones estructurales y sus aplicaciones técnicas a las diversas disciplinas científicas. Se concluyó que, los estudios multivariados requieren de herramientas de avanzada para el análisis de variables observadas y latentes en los fenómenos de investigación social.