bluuebunny/crossref_metadata_2025 huggingface dataset:
INTEGRASI SOSIAL MASYARAKAT URBAN
Authors: Idrus Rezky Lutfiah
Published: April 2022

Penelitian ini dilakukan untuk mengetahui apa sebenarnya yang dimaksud dengan masyarakat urban, integrasi sosial apa yang terjadi dalam masyarakat urban. Kota selalu memiliki daya pesona tersendiri bagi masyarakat di sekitarnya. Hal ini dikarenakan posisi kota sebagai pusat konsentrasi aktivitas ekonomi, sosial, budaya, politik, pendidikan, administrasi pemerintahan. Hal inilah yang memicu terjadinya urbanisasi, kata urban tidak selamanya mengacu pada perpindahan penduduk dari desa ke kota, melainkan dapat juga diartikan sebagai peristiwa budaya yang di mana masyarakat lebih memilih menerima budaya dari kota untuk menjadikan desa layaknya kota. Dalam hal ini lebih ditekankan lagi akan bentuk-bentuk dari integrasi sosial masyarakat urban. Tujuan penelitian ini untuk menganalisis bentuk integrasi yang ada pada masyarakat urban dengan menggunakan studi deskriptif dari beberapa kutipan yang ada. Adapun properti hunian pada masyarakat urban yang menandakan bahwa urbanisasi telah terjadi di wilayah tersebut.
MANAJEMEN PEMASARAN_SOFHIA RAHMADANI
Authors: Rahmadani Sofhia
Published: April 2022

Secara umum manajemen adalah sebuah ilmu atau seni dalam mengatur dan pemberdayaan sumber daya manusia dan yang lain menjadi produktivitas yang bernilai dan berkualitas. Sedangkan pemasaran sendiri memiliki pengertian suatu strategi teknik atau cara tertentu untuk menjual atau memperkenalkan suatu barang atau produk tertentu kepada konsumen atau masyarakat tertentu. Jika dimaknai manajemen pemasaran pendidikan adalah sebuah upaya atau teknik mensosialisasikan atau menjual produk pendidikan kepada konsumen atau masyarakat sebagai objek pengguna pendidikan.
STRATEGI PEMBELAJARAN DAN PEMANFAATAN TEKNOLOGI PEMBELAJARAN SEJARAH MASA KINI
Authors: Rahmatullah
Published: April 2022

Secara singkat strategi pembelajaran adalah pola umum kegiatan guru-peserta didik di dalam perwujudan proses belajar mengajar untuk mencapai tujuan tertentu. Strategi pembelajaran meliputi: 1) Mengidentifikasi dan menetapkan kekhususan perubahan perilaku peserta didik yang diharapkan. 2) Memilih sistem pendidikan belajar mengajar berdasarkan cita-cita dan pandangan hidup masyarakat. 3) Memilih dan menetapkan metode belajar mengajar yang dianggap paling tepat dan efektif sehingga dapat dijadikan pegangan oleh guru dalam menunaikan tugasnya. 4) Memilih dan menetapkan ukuran keberhasilan kegiatan belaja mengajar sehingga dapat dijadikan pedoman oleh guru untuk melakukan evaluasi. Keempat dasar strategi tersebut merupakan satu kesatuan yang utuh. Di era globalisasi ini, yang menjadi penentu dan berada di mana-mana adalah tujuh pelopor teknologi yang menarik atau mendorong industri yaitu teknologi industri, transportasi, telekomunikasi, kedirgantaraan-kebumian dan kelautan, bioteknologi, teknologi bahan-bahan dan pusat kendali ke enam perkembangan industri tersebut adalah teknologi elektronika makro dan cybernetics.
Inovasi Pendidikan Dalam Pembelajaran Sejarah Abad ke-21
Authors: Maulana Ahmad
Published: April 2022

Pesatnya perkembangan dalam bidang pengetahuan dan teknologi, menuntut berbagai pihak harus memahami berbagai bentuk perubahan yang berlangsung di sekolahnya maupun yang terjadi di lingkungan sekitarnya. Untuk itu maka dibutuhkanlah suatu Inovasi dalam pendidikan yang akan menjawab berbagai tantangan dan permasalahan-permasalahan dalam bidang pendidikan seperti pengelolaan sekolah, kurikulum, kemampuan peserta didik, fasilitas, dan tenaga pendidik. Inovasi pendidikan tentu melibatkan seorang guru yang akan memainkan peran yang sangat besar bagi keberhasilan suatu inovasi pendidikan. Pada pembelajaran sejarah abad 21 guru berperan memberikan arahan atau stimulus kepada peserta didik tentang materi yang akan diajarkan. Selain itu guru dan peserta didik dituntut untuk mampu merumuskan masalah, mencari tahu berbagai macam informasi yang sudah tersedia di media internet, melatih diri untuk bisa berpikir analitis serta otomasi, dan mampu meningkatkan komunikasi antar sesama, sebab kerja sama dan kolaborasi sangat diperlukan di pembelajaran abad 21.
Pengembangan strategi pembelajaran sejarah serta aplikasi sistem pembelajaran saat ini ( pandemi covid19)
Authors: safitri Lala
Published: April 2022

Penulisan artikel mengenai strategi pembelajaran sejarah serta hubungannya dengan IPTEK yang sangat besar dalam kehidupan sehari-hari manusia yang tidak bisa di lepaskan , tidak hanya di gunakan di bidang pendidikan tapi juga berbagai bidang kehidupan sehari-hari Penggunaan teknologi informasi canggih seperti pada masa sekarang ini banyak membawa perubahan yang signifikan terhadap kehidupan manusia di haruskan bisa menggunakan aplikasi ataupun alat elektronik seperti laptop , hp dan juga komputer untuk bisa mengakses berbagai informasi yang di butuhkan agar tercapainya tujuan Selain memiliki banyak manfaat juga memiliki banyak sekali dampak negatif Seperti , penggunaan yang terlalu berlebih-lebihan sehingga mengakibatkan kecanduan dengan teknologi itu sendiri Pemanfaatan teknologi yang kurang baik yang bisa membuat kita mudah terpengaruh oleh informasi yang belum pasti ataupun benar
PROFESIONALISME GURU DALAM PENINGKATAN MUTU PENDIDIKAN INDONESIA
Authors: Maulana Riyan
Published: April 2022

Mutu pendidikan dan profesionalisme guru saling berkaitan sehingga keduanya tidak dapat terlepas khususnya dalam proses pencapaian tujuan pendidikan. Salah satu yang memengaruhi mutu pendidikan yaitu profesionalisme guru karena guru merupakan penentu dari keberhasilan dan kegagalan dari suatu proses pembelajaran sehingga hal tersebut akan berpengaruh pada masa depan peserta didik. Profesi sendiri merupakan suatu pekerjaan dimana dalam pelaksanaannya membutuhkan adanya pengetahuan dan keahlian yang digunakan dalam suatu instansi atau lembaga. Suatu pekerjaan dikategorikan sebagai profesi apabila dalam pelaksanaan pekerjaan tersebut diperlukan adanya kualifikasi tertentu seperti harus memiliki ilmu pengetahuan, keahlian, perilaku profesional, standar profesi, asosiasi profesi, kode etik profesi, dan lembaga pendidikan profesi. Contoh suatu profesi yaitu seorang guru. Seorang guru dituntut untuk berwawasan dan memiliki pengetahuan sesuai dengan tugas pokok dan fungsinya sebagai guru atau tenaga pendidik serta harus memiliki keahlian dalam penyampaian materi pelajaran yang menggunakan strategi dan metode belajar serta sumber belajar. Oleh karena itu, guru tidak hanya sekadar mendidik dan mengajar namun juga membimbing, melatih, menilai, dan mengevaluasi peserta didik dengan berbekal dari keahlian yang dimiliki oleh guru tersebut. Sedangkan profesional yaitu orang yang memiliki keahlian dimana hanya mampu dikerjakan oleh seseorang yang memang telah dipersiapkan atau dilatih untuk suatu pekerjaan tertentu. Jadi, dapat dikatakan bahwa guru profesional adalah seorang guru dengan keahlian yang telah dipersiapkan untuk dirinya selama menjadi guru. profesionalisme adalah mutu atau kualitas yang dijadikan sebagai ciri suatu profesi atau seseorang yang profesional. Implementasi dari profesionalisme guru yaitu dilihat dari tanggung jawab sebagai pengajar belajar, pengelola belajar, dan perencana masa depan peserta didik.
Comparative Analysis of Performance and Mechanisms of Flood Inundation Map Generation using Height Above Nearest Drainage
Authors: Li Zhouyayan , Quintero Duque Felipe , Grout Trevor , Bates Bradford , Demir Ibrahim
Published: April 2022

For flood inundation extent prediction, it is important to have a faster, more accurate, and input-parsimonious model during response and recovery efforts. Height Above Nearest Drainage (HAND) is a simplified conceptual model whose efficacy and utility have been demonstrated in previous studies. This study aims to provide a comprehensive assessment of prediction performance of the rating-curve-based HAND generated with the framework adopted at NOAA's National Water Center and the non-rating-curve-based HAND inundation maps created with a web-based flood inundation mapping system. The study presents an in-depth analysis on the performance of HAND with varying model configurations, conditions where the HAND fails to provide accurate predictions, and underlying mechanism and guideline to overcome these challenges. The study also includes analysis of the model performance with bathymetry-based measurements. The results show that in areas where the water depth indicated by the synthetic rating curve are relatively consistent with those in catchments, the non-rating-curve-based HAND can generate comparable inundation extent predictions with fewer inputs. Otherwise, the non-rating-curve-based HAND may result in significant underestimations due to a combination of factors. The underestimation can be reduced by using a multi-depth technique to calculate water depth. Furthermore, the results show that the optimal HAND threshold is a percentage ranging between 8% and 12% of the basin drainage area, rather than a specific number as reported in previous studies. In comparison to the single-depth approach, the results show that proposed multi-point water depth calculation approaches are more robust against the causes of underestimation. However, there are no notable differences in prediction performance between proposed multi-point approaches. Finally, bathymetry measurements cause underestimation by increasing HAND values for non-drainage pixels. As a result, they should be handled with caution, as underestimation is riskier than overestimation when it comes to flood preparedness.
Word learning in the context of semantic prior knowledge: Evidence of interference from feature-based neighbours in children and adults
Authors: James Emma , Gaskell M. Gareth , Murphy Grainne , Tulip Josie , Henderson Lisa
Published: April 2022

The presence of phonological neighbours facilitates word-form learning, suggesting that prior phonological knowledge supports vocabulary acquisition. We tested whether prior semantic knowledge similarly benefits word learning by teaching 7-to-10-year-old children (Experiment 1) and adults (Experiment 2) pseudowords assigned to novel concepts with low or high semantic neighbourhood density according to feature norms. Form recall, definition recall, and semantic categorisation tasks were administered immediately after training, the next day, and one week later. Across sessions, pseudowords assigned to low-density (versus high-density) semantic neighbourhood concepts elicited better word-form recall (for adults) and better meaning recall (for children). Exploratory cross-experiment analyses demonstrated that the neighbourhood influence was most robust for recalling meanings. Children showed greater gains in form recall than adults across the week, regardless of links to semantic knowledge. While the results suggest that close semantic neighbours interfere with word learning, we consider alternative semantic dimensions that may be beneficial.
Palin PCI – terapia interakcyjna rodzic – dziecko dla jąkających się dzieci w praktyce – studium przypadku
Authors: Deckert-Brzezińska Agata , Brzeziński Kamil
Published: April 2022

Zaburzenia płynności mowy stanowią pewien globalny fenomen, gdyż występują we wszystkich społeczeństwach. Jednocześnie istnieje wiele metod terapii logopedycznych dotyczących jąkania się. W artykule przedstawiono wyniki badania dotyczące efektów jednej z nich, tj. Palin PCI – terapii interakcyjnej rodzic – dziecko, zastosowanej w przypadku pięcioletniego jąkającego się chłopca. W badaniu wykorzystano jakościową metodę case study, w której ramach wykorzystano kilka źródeł danych: analizę dokumentów z terapii, obserwację, a także indywidualne wywiady pogłębione z rodzicami. Badanie wykazało, że zastosowanie programu Palin PCI przyczyniło się do zmniejszenia niepłynności mowy chłopca, a także znacznej zmiany postaw rodziców względem jąkania się syna.
The Nonvisual Legibility and the Coherence of Space: A New Theoretical Framework with Examples of Its Implementation in Empirical Research
Authors: Bogucka Zuzanna
Published: April 2022

The legibility and coherence of space are informative qualities as they facilitate the understanding and exploration of the environment. They also function as categories in architectural and urban design theory, as well as environmental psychology. The approaches of those disciplines, including their contemporary continuations, evolved from Lynch (1960) and are based solely on the visual qualities of the environment.In this article, I argue that relying only on the visual scope of human-environment relations is insufficient for inferring the user’s perception of the environment as legible and coherent and evaluating design solutions from the users’ perspectives. The proposed revised theoretical framework combines architecture and urbandesign perspectives with environmental psychology and broadens concepts of legibility and coherence. The revised framework combines the visual scope of the legibility and coherence with other aspects of human-environment relations by referring them to multisensory perspective, social and spatial functioning, levelsand characters of stimulation, and affective appraisal of the environment. To show how we can address this broadened approach to legibility and coherence in empirical research, I present two examples of experimental research using bimodal research materials. They present how nonvisual qualities contribute to legibility and coherence and how they can be measured (tested) during the data-driven evidence-based design process. The first experiment investigates the relationship between the qualities of soundscapes and the social functioning of users. The second covers the tactile and haptic dimensions and their connections with blind and visually impaired users’ spatial functioning.
Obituary Eugeniusz Jaworski, PhD (31 October 1933 – 30 December 2020)
Authors: Mokranowska Zdzisława
Published: April 2022

This text is an obituary dedicated to the prominent reasercher of culture, dr Eugeniusz Jaworski (1933-2020).
ТЕОРЕТИЧНІ ДОСЛІДЖЕННЯ АВАРІЙНОГО РИЗИКУ ПІД ЧАС ЕКСПЛУАТАЦІЇ МАГІСТРАЛЬНИХ ГАЗОПРОВОДІВ
Authors: Лялюк-Вітер Г. Д. , Семчук Я. М. , Кривенко Г. М.
Published: April 2022

Лінійна частина газопроводів є потенційно небезпечним об’єктом і має значний енергетичний потенціал, що здатний негативно впливати на довкілля. Чинники аварійного ризику призводять до відмов магістральних газопроводів. Метою статті є дослідження аварійного ризику під час експлуатації магістральних газопроводів. Розглянуто послідовність проведення аналізу ризиків небезпеки, вплив чинників аварійного ризику, що призводять до відмов магістральних газопроводів. Теоретичне дослідження аварійного ризику показує, що його аналіз є комплексним складним завданням і складається з  чотирьох етапів: визначаються основні потенційні небезпеки, характерні магістральним газопроводам; здійснюється аналіз і кількісна оцінка можливих наслідків від прогнозованих аварій; розраховується інтенсивність ймовірностей аварійних подій. Тільки комплексне застосування методів оцінки ризику виникнення аварійних ситуацій дозволяє розробляти та обґрунтовувати ефективні заходи щодо підвищення безпеки їх експлуатації. Здійснено прогнозування впливу технологічних та природно-кліматичних чинників на розподіл інтенсивності аварій. Розрахунок локальних значень інтенсивності аварій для кожної ділянки траси дасть змогу одержати розподіл питомої частоти аварій вздовж трубопроводу.
Design and construction of a wood-based modified yam pounder machine
Authors: KİNGSLEY Aghawegbehe , OLODU Dıckson Davıd
Published: April 2022

This study focused on the design and construction of a wood-based modified yam pounder machine. The high cost of producing yam pounder machine using stainless steel and other metals poses great challenges in terms of efficiency and affordability. In this study, a yam pounder was produced from hardwood obtained from Oak tree which is a locally sourced material with a view to eliminating the tedious and laborious process of preparing pounded yam. The hardwood log of 220 mm long was turned to a diameter of 240 mm using wood lathe machine. Other components were machined to their appropriate sizes based on designed specification before assembling. The designed yam pounder was used to pound 1.034 kg of cooked white yam for three minutes; the same were carried out with the existing yam pounder for three minutes under the same condition. The results obtained from performance tests showed that there was no yam seed from the designed yam pounder but there were few yam seeds in the existing yam pounder. This showed that the designed yam pounder pounds better than the existing one.
Giant Mosasaurus hoffmanni (Squamata, Mosasauridae) from the Late Cretaceous (Maastrichtian) of Penza, Russia
Authors: Grigoriev D.V.
Published: April 2022

This study provides a morphological description of the fragmentary skull of a mosasaur discovered in 1927 in the Upper Cretaceous (Maastrichtian) deposits in the city of Penza (Russia). Some bones from the original material had been lost since their discovery; their description is based on plaster casts. The Penza mosasaur displays characteristic features of Mosasaurus hoffmanni such as the posterior carina that shifts from a somewhat lateral position in the anterior teeth to a posterior position further along the tooth row, a frontal with convex lateral margins, and a powerfully built dentary. This is the first unequivocal record of this taxon from Russia. M. hoffmanni from the Penza is one of the largest mosasaurs ever known with an overall length of the body about 17 m.
EFFECT OF RIVAROXABAN ON THE DYNAMIC OF MYOCARDIAL ISCHEMIA INDICATORS IN PATIENTS WITH CHRONIC HEART FAILURE AFTER MYOCARDIAL INFARCTION
Authors: Savchuk N.
Published: April 2022

Evaluating the efficacy of the treatment regimens used during the year, the benefits of using magnesium and potassium gluconic acid, eplerenone or rivaroxabane with basic therapy (BT) have been proven. In all of the groups under study, there was a positive trend in the treatment process in terms of reducing the number of heart rhythm disturbances. However, a probable decrease in the number of supraventricular and ventricular extrasystoles was noted in groups of patients with the use of salts of magnesium and potassium gluconic acid or rivaroxabane against the background of BT. The results of Holter monitoring of the electrocardiogram showed that the treatment regimens studied were effective in reducing the rate of myocardial ischemia. The treatment of patients with rivaroxiban resulted in a decrease in the total duration of myocardial ischemia per day by 51.93 %. Consequently, an intensive reduction of manifestations of myocardial ischemia and cardiac rhythm disturbance with the use of rivaroxaban on the background of BT in patients with chronic heart failure after myocardial infarction has been established.
The obtaining a honey pollen product in apiaries
Authors: Zlepkin V. A. , Chuchunov V. A. , Radzievskiy E. B. , Konobley T. V. , Gorbunov A. V.
Published: April 2022

Due to the fact that consumers are paying more attention to the safety and functionality of food, the authors have developed a functional product based on honey and pollen collected by bees. This product is characterized by high indicators of safety, nutritional and biological value. The problem of bees for its production is that they use old honeycombs, which are not suitable for brood production because of the narrowing of the lumen of the cell due to the fact that each exiting bee leaves behind a cocoon. However, old combs accumulate antibiotics and other veterinary drugs that beekeepers use to treat bees. For the production of this product, which is not inferior in quality to bee bread, the authors used pollen collected in the form of a pollen collector, and honey was extracted from the superstructures of the store, in which brood was never hatched. In other words, the starting material for the product did not come into contact with the nesting frames containing the cells with the cocoons of the emerging bees. Moreover, these nest frames could contain the remains of veterinary drugs. The analysis of the organoleptic indicators of the quality of the honey pollen product and bee pollen showed that, in appearance, the bee bread was a hexagonal strong prism, which repeated the cells of a honeycomb. Its color varied in layers from light yellow to brown. The honey pollen product was homogeneous throughout the mass, ointment-like consistency and orange in color. The smell of all samples is honey pollen. The taste of bee pollen was sweet and sour, slightly bitter, that of the honey pollen product was sweet, that of the honey pollen product with vitamin C was sweet and sour. Comparison of physicochemical parameters of the quality of bee bread and honey pollen product showed that the mass fraction of fat in bee bread was lower by 3.5–3.6%, cholesterol - by 11.2, protein content - above 0.4%. The level of assessment of the production of honey pollen product at a selling price of 4000 rubles/kg, like bee bread, is from 145.8 to 150.0%, while the chemicals associated with the production of the product range from 1600 to 1627 rubles/kg. The profit reached from 2373 to 2400 rubles/kg
Prospective, multicenter study of 2-level cervical arthroplasty with a PEEK-on-ceramic artificial disc
Authors: Coric Domagoj , Guyer Richard D. , Bae Hyun , Nunley Pierce D. , Strenge K. Brandon , Peloza John H. , Boltes Margaret O. , Ohnmeiss Donna D.
Published: April 2022

OBJECTIVE

The purpose of this study was to evaluate the safety and efficacy of a PEEK-on-ceramic cervical total disc replacement (cTDR) device for the treatment of 2-level cervical disc disease with radiculopathy and/or myelopathy.

METHODS

The study was a prospective, nonrandomized, historically controlled FDA investigational device exemption trial evaluating the Simplify Cervical Artificial Disc for use at 2 levels. The anterior cervical discectomy and fusion (ACDF) control group was derived from a propensity score–matched (using subclassification) cohort of patients who participated in an earlier prospective trial in which similar indications were used. The follow-up duration was 24 months. The primary outcome was a 4-point composite success classification. Other validated clinical and radiographic assessments were also evaluated.

RESULTS

The investigational group (n = 182) was compared with patients who underwent ACDF (n = 170) in a historical control group using propensity score analysis. The overall composite success rate was statistically significantly greater in the cTDR group compared with the ACDF group (86.7% vs 77.1%; p < 0.05). The mean Neck Disability Index scores improved significantly in both groups, with cTDR significantly lower at some follow-up points. At the 24-month follow-up, a minimum 15-point improvement in Neck Disability Index scores was achieved in 92.9% of the cTDR group and 83.5% of the ACDF group (p > 0.05). In both groups, neck and arm pain scores improved significantly (p < 0.05) by 6 weeks and improvement was maintained throughout follow-up. Segmental range of motion was maintained at both treated segments in the cTDR group. MRI performed in the cTDR group at 24 months postoperatively found minimal changes in facet joint degeneration. The rate of subsequent surgical intervention was 2.2% in the cTDR group and 8.8% in the ACDF group.

CONCLUSIONS

This study adds to the growing body of literature supporting cTDR for 2-level cervical disc disease with radiculopathy or myelopathy. cTDR showed a superior overall success rate compared to ACDF, while maintaining motion. These results support that the Simplify disc is a viable alternative to ACDF in appropriately selected patients with 2-level cervical spondylosis.
Corpus callosum injury after neurosurgical intervention for posthemorrhagic ventricular dilatation and association with neurodevelopmental outcome at 2 years
Authors: Cizmeci Mehmet N. , Groenendaal Floris , van der Aa Niek E. , Vandewouw Marlee M. , Young Julia M. , Han Kuosen , Benders Manon J. N. L. , Taylor Margot J. , de Vries Linda S. , Woerdeman Peter A.
Published: April 2022

OBJECTIVE

Direct injury to the corpus callosum (CC) due to neurosurgical interventions in infants with posthemorrhagic ventricular dilatation (PHVD) has not been reported in the literature. The authors observed a subset of infants who had suffered penetrating CC injury after neurosurgical interventions for PHVD and hypothesized that this pattern of injury may result in suboptimal CC maturation and neurodevelopmental impairment.

METHODS

In this multicenter, retrospective, observational study, 100 preterm and 17 full-term infants with PHVD were included and compared with 23 preterm controls. Both neonatal and postneonatal brain MRI scans were assessed for injury, and measurements were performed on postneonatal MRI scans at 2 years’ corrected age. Neurodevelopmental outcome was assessed at 2 years’ corrected age.

RESULTS

A total of 269 brain MRI scans of 140 infants were included. Of infants with PHVD, 48 (41%) had penetrating CC injury following neurosurgical interventions. The median (IQR) CC midsagittal surface area was smaller in infants with CC injury when compared with infants with PHVD who had intact CC and controls (190 mm2 [149–262 mm2] vs 268 mm2 [206–318 mm2] vs 289 mm2 [246–320 mm2], respectively; p < 0.001). In the univariate analysis, the area of the CC was associated with cognitive Z score (coefficient 0.009 [95% CI 0.005–0.012], p < 0.001) and motor Z score (coefficient 0.009 [95% CI 0.006–0.012], p < 0.001). In the multivariable model, CC injury was not independently associated with cognitive and motor Z score after adjusting for gestational age and presence of periventricular hemorrhagic infarction (coefficient 0.04 [95% CI −0.36 to 0.46] and −0.37 [95% CI −0.83 to 0.09], p = 0.7 and 0.1, respectively).

CONCLUSIONS

CC injury was not uncommon following neurosurgical interventions for PHVD in both preterm and full-term infants. At the age of 2 years, the CC midsagittal surface area was smaller in infants with injury, but CC injury was not independently associated with cognitive and motor outcomes at 2 years’ corrected age.
Дослідницькі задачі з фізики
Authors: Ржепецький Василь Петрович
Published: April 2022

Посібник містить методичні рекомендації до 16 лабораторних робіт, для виконання яких достатньо знань курсу фізики середньої школи. Виконуючи ці роботи, студенти першого курсу отримують вміння і навички використання різних фізичних приладів, що сприятиме ефективному виконанню робіт практикуму із загальної фізики.
Лабораторні роботи з курсу загальної фізики для студентів технологічних спеціальностей
Authors: Ржепецький Василь Петрович , Слюсаренко Микола Анатолійович
Published: April 2022

Посібник містить методичні рекомендації до 15 лабораторних робіт з механіки, молекулярної фізики та теми "Постійний електричний струм" розділу "Електродинаміка". Тематика робіт відповідає програмі курсу загальної фізики для студентів технолого-педагогічного факультету.
Лабораторні роботи з курсу загальної фізики для студентів природничих спеціальностей
Authors: Кадченко Валентина Миколаївна , Ржепецький Василь Петрович , Слюсаренко Микола Анатолійович
Published: April 2022

Посібник містить методичні рекомендації до 9 лабораторних робіт з курсу загальної фізики, який викладається на природничому та географічному факультетах.
Українська діалектологія
Authors: Вербовий М.
Published: April 2022

Видання покликане допомогти студентам у засвоєнні курсу Української діалектології. У посібнику стисло подано найголовніші ознаки окремих говірок, говорів та наріч української мови. Запропоновані тексти мають на меті і перевірити рівень засвоєння студентом основних діалектних явищ, притаманних тій чи іншій говірці, і допомогти студентові привчитися самостійно знаходити й визначати діалектні явища.
Підготовка майбутніх фахівців дошкільної освіти засобами інтерактивних та продуктивних технологій
Authors: Ковшар Олена Вікторівна , Недодатко Наталя Григоріївна , Бадіца Марина Володимирівна , Суятинова Катерина Євгенїівна , Іншаков Артур Євгенович , Іншакова Інна Євгенівна , Чулошнікова Марина Олександрівна , Коломоєць Таміла Григоріївна , Кравцова Аліна Олександрівна , Коновалова Катерина Ігорівна , Мукоїда Інна Михайлівна
Published: April 2022

Колективна монографія висвітлює результати досліджень широкого кола теоретико-методичних проблем підготовки педагогів-вихователів засобом інтерактивних та продуктивних технологій науковцями-викладачами кафедри дошкільної освіти Криворізького державного педагогічного університету. Результати вивчення проблем дитинства, теоретико-методологічні підходи до процесу підготовки фахівців дошкільної освіти проводилась протягом останніх п’яти років як науково-дослідна проблема кафедри. Монографія певною мірою характеризує процес набуття професійних компетентностей майбутніх вихователів. Монографія адресована викладачам педагогічних закладів вищої освіти, студентам, педагогам-практикам.
Тести з математики: тематичні та підсумкові для 5 класу
Authors: Капіносов Анатолій Миколайович
Published: April 2022

Посібник містить дванадцять тематичних і підсумкових тестових робіт, у кожній з яких шість варіантів. Наведені завдання дають змогу ефективно здійснювати повний контроль за засвоєнням учнями основного рівня курсу математики. Для учнів п'ятого класу.
Медійний простір 2020 року: моделювання події як прецесія самої події
Authors: Малюга Наталія
Published: April 2022

У статті йдеться про порушення основних принципів журналістської діяльності (збалансованості та неупередженості подачі інформації), наголошено на потребі дотримання професійних та етичних стандартів представниками ЗМІ. Проаналізовано тексти, що містять вербальну агресію, пропагують нетерпимість, нав’язують протистояння, експлуатують ідею “кола своїх”, мають дискримінаційний характер. Представлено авторський погляд на вимогу достовірності інформації, її неупередженого подання, моральності міркувань журналіста. Закцентовано на потребі медіа відповідально ставитися до вивчення своєї аудиторії, розв’язання проблеми інформаційної гігієни.
Meta-Analysis on the Effects of Family- Oriented Prevention in German-Speaking Countries: A Contribution to Cross-Cultural Generalization
Authors: Weiss Maren , Schmucker Martin , Lösel Friedrich
Published: April 2022

Most research on developmental prevention programs stems from Anglo-American countries. However, in German-speaking European countries, there is also a broad range of family-oriented programs to promote child development and prevent behavioral problems. This article presents a meta-analysis of n = 79 studies on family-based prevention that had a comparison group and were performed in Germany, Austria, or Switzerland. Overall, the data contained 10,667 parents and showed a significant positive mean effect of the programs (d = 0.31). The mean effect for parent related outcomes (d = 0.40) was larger than for measures of child behavior (d = 0.20). There was much heterogeneity across studies and very few had follow-ups of more than one year. Moderator analyses revealed particular influences of methodological study characteristics, e.g. larger effects in smaller samples and less well-controlled studies. Most results of our meta-analysis are similar to what has been found in the English-speaking world. However, as in international practice, the evaluated programs seem to be not representative for everyday prevention reality where many programs are not evaluated at all. Our study confirms the need for more high-quality and long-term evaluation as well as cross-national comparisons and replicated moderator analyses.
Attention based sequence-to-sequence framework for auto image caption generation
Authors: Khan Rashid , Islam M. Shujah , Kanwal Khadija , Iqbal Mansoor , Hossain Md. Imran , Ye Zhongfu
Published: April 2022

Caption generation using an encoder-decoder approach has recently been extensively studied and implemented in various domains, including image captioning and code captioning. In this research article, we propose one particular approach for completing a capture generation task using an “attention”-based sequence-to-sequence framework that, when combined with a conventional encoder-decoder model, generates captions in an attention-based manner. ResNet-152 is a Convolutional Neural Network (CNN) based encoder that generates a comprehensive representation of an input image while embedding that into a fixed size length vector. To predict the next sentence, the decoder uses LSTM, a Recurrent Neural Network (RNN), and an attention-based mechanism to concentrate attention on certain sections of an image selectively. Define a set of epochs to 69, which should be enough for training the model to generate informative descriptions, and the validation loss has reached its minimum limit and no longer decreases. We present the datasets as well as the evaluation metrics, as well as quantitative and qualitative analysis. Experiments on the MSCOCO and Flickr8k benchmark datasets illustrate the model’s efficacy in comparison to the baseline techniques. On MSCOCO, evaluation scores included BLEU-1 0.81, BLEU-2 0.61, BLEU-3 0.47, and 0.33 METEOR. For Flickr8k BLEU-1 0.68, BLEU-2 0.49, BLEU-3 0.41, METEOR 0.23, and 0.86 on SPICE. The proposed approach is comparable with several state-of-the-art methods in terms of standard evaluation metric, demonstrating that it can produce more accurate and richer captions.
Diagnosis and prediction of failures in maintenance systems using fuzzy inference and Z-number method
Authors: Javanmardi Ehsan , Nadaffard Ahmadreza , Karimi Negar , Feylizadeh Mohammad Reza , Javanmardi Sadaf
Published: April 2022

In this research, a timely diagnosis and prediction mechanism for drill failure are provided to improve the maintenance process in drilling through fuzzy inference systems. Failures and decisions are based on information and reliability as well, and that affects the quality of decision-making. We apply the potential of if-then rules and a new approach called Z-number that considers fuzzy constraints and reliability at the same time. Exerting Z-number in this research took maximum advantage of reducing uncertainty for predicting failures. Additionally, this research has a practical aspect in maintenance systems by using if-then rules that rely on Z-number. The proposed approach can cover the expert idea during drill operation time simultaneously. This approach also helps experts encounter ambiguous situations and formulate uncertainties. Experts or drill operators can consider key factors of drilling collapse along with the reliability of these factors. The proposed approach can be applied to a real-life situation of human inference with probability for the purpose of predicting failures during drilling. Hence, this method has excellent flexibility for implementation in various maintenance systems.
SinoCaps: Recognition of colorectal polyps using sinogram capsule network
Authors: Ayidzoe Mighty Abra , Yu Yongbin , Mensah Patrick Kwabena , Cai Jingye , Baagyere Edward Yellakuor , Bawah Faiza Umar
Published: April 2022

Colorectal cancer is the third most diagnosed malignancy in the world. Polyps (either malignant or benign) are the primary cause of colorectal cancer. However, the diagnosis is susceptive to human error, less effective, and falls below recommended levels in routine clinical procedures. In this paper, a Capsule network enhanced with radon transforms for feature extraction is proposed to improve the feasibility of colorectal cancer recognition. The contribution of this paper lies in the incorporation of the radon transforms in the proposed model to improve the detection of polyps by performing efficient extraction of tomographic features. When trained and tested with the polyp dataset, the proposed model achieved an overall average recognition accuracy of 94.02%, AUC of 97%, and an average precision of 96%. In addition, a posthoc analysis of the results exhibited superior feature extraction capabilities comparable to the state-of-the-art and can contribute to the field of explainable artificial intelligence. The proposed method has a considerable potential to be adopted in clinical trials to eliminate the problems associated with the human diagnosis of colorectal cancer.
Attribute reduction based on observational consistency in intuitionistic fuzzy multi-covering decision systems
Authors: Lin Rongde , Li Jinjin , Chen Dongxiao , Chen Yingsheng , Huang Jianxin
Published: April 2022

Attribute reduction is an important issue in data mining, machine learning and other applications of big data processing. Covering-based rough set and intuitionistic fuzzy (IF) set models are both the effective theoretical tools of uncertainty or imprecise computation, and thus IF covering rough set model has been acknowledged as a positive approach to attribute reduction. Based on IF covering rough set model, this study explores a kind of parameterized IF observational consistency in IF multi-covering decision system, and proposes an attribute reduction method. This article firstly defines the concepts of regular IF β-covering, parameterized IF observational sets on the regular IF β-covering approximation space. Secondly, the parameterized IF observational consistency is defined to be the principal of attribute reduction in the IF multi-covering decision system, and the related IF discernibility matrix is developed to provide a way of attribute reduction. For multi-observational consistency corresponding to an observational parameters set, an unified multi-observational discernibility matrix is constructed, which avoids the disadvantage of needing to construct multiple corresponding discernibility matrices separately. Furthermore, an attribute reduction algorithm based on iterative dissolving of unified multi-observational discernibility matrix is proposed, and the experiment to demonstrate effectiveness of algorithm is presented. Experiments with UCI datasets shows that, the proposed method is a good way for improving both the rates of attribute-reduced and the classification accuracy of reduced datasets.
RETRACTED: Cancelable multibiometrics using random projection and fuzzy quantization for template protection
Authors: Singh Ashutosh , Singh Yogenrda Narain
Published: April 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: A method based on cloud model and FCM clustering for risky large group decision making
Authors: Tian Yu , Guo Zixue
Published: April 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Manifold spatial clustering via asymmetric convolutional denoising autoencoder
Authors: Yang Mengyin , Chen Junfen , Wang Wenjie , He Qiang
Published: April 2022

Deep unsupervised learning extracts meaningful features from unlabeled images and simultaneously serves downstream tasks in computer vision. The basic process of deep clustering methods can include features learning and clustering assignment. To enhance the discriminative ability of the features and further improve the clustering performances, a new deep clustering method namely ACMEC (asymmetric convolutional denoising autoencoder with manifold spatial embedding clustering) is proposed. In this method, an asymmetric convolution denoising autoencoder is employed to extract visual features from images, and a manifold learning algorithm is used to obtain more distinctive features, followed by a Gaussian Mixture Model (GMM) is for clustering learning. The stability of feature space is guaranteed using separately training mechanism. In addition, reconstruction from noisy images enhances the robustness of feature networks. Experimental results on nine benchmark datasets demonstrate that the proposed ACMEC method can provide the better performances such as 0.979 clustering accuracy on the MNIST dataset and 0.668 on the fashion-MNIST dataset. ACMEC is a comparable competitor to the N2D (not too deep clustering) algorithm that is with 0.979 and 0.672 clustering accuracies respectively. Moreover, it is 16.1% higher than DEC algorithm on the fashion-MNIST dataset.
Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic
Authors: Vo Nhi N.Y. , Xu Guandong , Le Dat Anh
Published: April 2022

The COVID-19 pandemic has turned the world upside down since the beginning of 2020, leaving most nations worldwide in both health crises and economic recession. Governments have been continually responding with multiple support policies to help people and businesses overcoming the current situation, from “Containment”, “Health” to “Economic” policies, and from local and national supports to international aids. Although the pandemic damage is still not under control, it is essential to have an early investigation to analyze whether these measures have taken effects on the early economic recovery in each nation, and which kinds of measures have made bigger impacts on reducing such negative downturn. Therefore, we conducted a time series based causal inference analysis to measure the effectiveness of these policies, specifically focusing on the “Economic support” policy on the financial markets for 80 countries and on the United States and Australia labour markets. Our results identified initial positive causal relationships between these policies and the market, providing a perspective for policymakers and other stakeholders.
A comprehensive study of data intelligence in the context of big data analytics
Authors: Banchhor Chitrakant , Srinivasu N.
Published: April 2022

Modern systems like the Internet of Things, cloud computing, and sensor networks generate a huge data archive. The knowledge extraction from these huge archived data requires modified approaches in algorithm design techniques. The field of study in which analysis of such huge data is carried out is called big data analytics, which helps to optimize the performance with reduced cost and retrieves the information efficiently. The enhancement of traditional data analytics needs to modify to suit big data analytics because it may not manage huge amounts of data. The real thought is how to design the data mining algorithms suitable to handle big data analysis. This paper discusses data analytics at the initial level, to begin with, the insights about the analysis process for big data. Big data analytics have a current research edge in the knowledge extraction field. This paper highlights the challenges and problems associated with big data analysis and provide inner insights into several techniques and methods used.
Does monetary policy affect the net interest margin of credit institutions? Evidence from Colombia
Authors: Pirateque-Niño Javier Eliecer , Rodríguez-Novoa Daniela , Piñeros-Gordo José Hernán
Published: April 2022

This paper analyzes empirically the relationship between monetary policy interventions and the net interest margin of Colombian credit institutions for the 2003 – 2019 period. Considering the endogeneity problem that arises when analysing this relationship, we calculate a series of monetary policy shocks as the residuals of regressing the monetary policy rate on a set of quantifiable variables that the Central Bank of Colombia’s Board of Directors had at each of its monetary policy meetings. Thereafter, we conduct a panel regression analysis in which we relate these shocks, and a set of macroeconomic and bank-specific variables to the net interest margin. Through a non-linear approach, we find a significant quadratic relationship, which reflects that once the endogeneity problem is overcome, the net interest margin increases to policy shocks. The net interest margin increases to positive policy shocks due to the different dynamics of deposits and loans, and increases to negative policy shocks given the higher sensitivity of banks’ funding costs compared to the one of interest income.
Research and Development of Seduboo as A Sex Education Media for Teenager
Authors: Nanda Veronika Dexsa , Setyaningsih Wahyu , Jupriyono Jupriyono
Published: April 2022

The era of globalization causes people, especially teenagers, to quickly get information through the internet. It impacts the mindset and lifestyle of teenagers who tend not to filter information correctly and adequately. Misperceptions about sex issues encourage teens to try sex issues without realizing the dangers. This study aims to develop a Sex Education Book (SEDUBOO) as a medium for adolescent sex education. This study uses ten youth cadre respondents to use a Research and Development (R&D) design. The instruments used are expert questionnaires, user response questionnaires, and pre-test and post-test post-test to measure adolescent knowledge related to knowledge of sex education. The results of the study stated that the developed media could be categorized as very feasible, based on the results of the assessment of material experts (90.7%), media experts (94%), and respondents' assessments (94.2%). Adolescent knowledge increased with the pre-test results of 2 respondents in the excellent category and the post-test results of 10 respondents in the excellent category. Media is an essential factor in providing health education. Appropriate media help convey information about sex that can be received appropriately to prevent deviant behaviour.
Hazmat Dress Model Development for Health Service
Authors: Munjiati Munjiati , Haryati Welas , Ratifah Ratifah , Wahyuningsih Dyah , Indriyani Nastiti Nur
Published: April 2022

Hazmat is one of the personal protective equipment (PPE) used by healthcare professionals to combat infections such as Ebola, SARS, MERS, and the current prevalence of COVID-19. There are several things to consider when making this hazmat clothing. That is a type of hazmat material, standardization, and ease of use. Adding an outer layer of hazmat clothing containing betel leaf (Piper Betle. L) extract in an antibacterial and antiviral spray is expected to increase the safety of healthcare professionals and enhance protection from bacteria/viruses. In this course, we apply Research and Development (R&D) methods. The research steps were carried out experimentally in the laboratory by applying a betel leaf (Piper Betle. L) extract in a spray formulation. Spray formulation prepared at a leaf extract concentration; of 0%, 2.5%, 5%, and 7.5% and sprayed on a hazmat suit. Then the hazmat is used by health workers and tested for the number of bacteria in the laboratory. Based on the research, a spray with 7.5% leaf extract concentration showed maximum antibacterial activity in 16 bacterial colonies before the test and one colony after the test.
Comisión Geológica de La Guajira
Authors: Suárez Hoyos Vicente
Published: April 2022

Se presenta en primer lugar una información sobre aspectos geográficos y económicos de La Guajira colombiana. Luego se hace una síntesis de las observaciones geológicas realizadas en el reconocimiento general de ese territorio.
Se distinguen las rocas sedimentarias que cubren las partes bajas y las rocas cristalinas ígneas y metamórficas que forman las serranías y las eminencias aisladas. La sucesión estratigráfica de las primeras comprende depósitos cuaternarios y formaciones terciarias y cretáceas. Las rocas cristalinas están constituidas por pórfidos, granitos, esquistos y filitas cuya edad no es posible definir por medio de estudios locales.
El capítulo sobre la geología económica hace referencia al muestreo riguroso que se hizo con mira a la investigación de fosfatos y que cubrió casi la totalidad de los horizontes sedimentarios. De los estudios de campo y de los análisis de laboratorio se concluye que solamente en el pequeño archipiélago de Los Monjes, reconocido recientemente como territorio venezolano, hay una pequeña reserva de material fosfático (24-33 % P205) que cuando más alcanza a 5 000 toneladas, inaprovechables económicamente por dificultades en la extracción y en el transporte.