bluuebunny/crossref_metadata_2025 huggingface dataset:
Maksud Tersembunyi dalam Tindak Tutur Ilokusi Film “Jembatan Pensil, Belajar pada Alam” Karya Hasto Broto
Authors: Rahmawati Mila Indah
Published: April 2022

Abstract
The sense of speech can be different from the context of speech. There is also a need for further research using pragmatics. The purpose of this study was to identify the forms of Illocutionary Speech Analysis in the film "Jembatan Pensil, Belajar Pada Alam." The analysis approach used a qualitative descriptive approach with a view and note methodology. The findings of this research included the discovery of 18 forms of verbal speech acts, 4 forms of clerical speech acts and 13 types of Directive speech acts. The results of the findings indicate that the use of illocutionary speech actions, particularly expressive, commissive, and directive in the film "Jembatan Pensil, Belajar Pada Alam" tends to be able to offer or express the speaker's image, intent, and feelings to the partner.
 
Abstrak
Makna sebuah tuturan bisa jadi akan berbeda dengan konteks tuturannya. Oleh karena itu, perlu adanya pengkajian lebih lanjut yaitu dengan menggunakan ilmu pragmatik. Tujuan dari penelitian ini adalah untuk mendeskripsikan bentuk-bentuk Analisis Tindak Tutur Ilokusi dalam Film “Jembatan Pensil, Belajar Pada Alam”. Metode penelitian menggunakan metode deskriptif kualitatif dengan teknik simak dan catat. Simpulan dari penelitian ini adalah ditemukannya 18 jenis tindak tutur ekspresif, 4 jenis tindak tutur komisif dan 13 jenis tindak tutur direktif. Adapun dari hasil temuan tersebut mengindikasikan bahwa penggunaan tindak tutur ilokusi, khususnya ekspresif, komisif, dan direktif dalam film “Jembatan Pensil, Belajar Pada Alam” ini cenderung mampu memberikan atau mengungkapkan gambaran, maksud, maupun perasaan penutur terhadap mitra tuturnya.
On potential use of natural electromagnetic emissions in ELF, VLF and HF radio bands at active landslide areas: Preliminary results from Vinohrady nad Váhom site (Slovakia)
Authors: HOFFMAN Michal
Published: April 2022

The use of natural electromagnetic (EM) emissions in extreme low frequency (ELF) and very low frequency (VLF) radio bands for monitoring and predicting landslide activity is examined. The approach is based on measuring EM emissions using radio receivers and subsequent correlation of their intensity with the amount and character of deformation in the landslide. There are several sources of EM emissions in the rock environment, but it is mostly the piezoelectric impulse of quartz grains during the deformation or sliding movements within rock masses. Deformation was observed in the studied landslide body. Deformations were measured using a geodetic band and a network of stakes, which were installed before and re-measured after recording a natural EM signal attributed to the geodynamic activity. A method of direct monitoring of the entire VLF spectrum using sound cards such as AD converters was applied. So far, several candidate signals were captured and two permanent VLF monitoring stations have been built.
Clockwise and counter clockwise 6 & 9 year geostrophic MC (& Rossby) waves in centre of the mechanism of geomagnetic jerks and relevant LODs
Authors: LUTEPHY Mohsen , ISMAILOV Botir Berdiyorovich , ABDULKADHIM Adnan Hashim
Published: April 2022

Versus the theory of fully stochastically mechanism of geomagnetic jerks based on the buoyant force driven Quasi-Geostrophic (QG) dynamo, the torsional waves in realistic condition of the Earth's core evolve in the intradecadal time scales. Geostrophic slow MC (& Rossby) waves as entanglement of inertial and Alfvén waves are the source of 6 & 9 year geomagnetic secular variations inferred with intradecadal variations in the Earth's rotation rate defined by length of day. From MHD equations in the Earth's liquid metal core, we find a suit of equations equivalent with Hall-MHD in plasma physics with variables and coefficients defined merely in the system of Earth's core dynamo. On reductive perturbation theory, it is deduced derivative nonlinear Schrödinger (DNLS) equation which describes torsional Alfvén waves. In nonlinearity, Modulational and decay instabilities of torsional Alfvén waves in the Earth's core maintain and control occurrences of the geomagnetic jerks and relevant LODs via perturbation theory. Instability induced from a small amplitude perturbation of the plane Alfvén wave can lead to an exponential growth or decay of nonlinear structures to maintain large amplitude turbulences, reasonable to produce the geomagnetic jerks and relevant LODs. Then interplanetary tiny electromagnetic inductions on the Earth's core dynamo via perturbation theory in nonlinearity can produce the jerks and relevant LODs. Also the first-order perturbation of 6-yr Alfvén wave for modulational instability yields to the localized wave-packets called Kuznetsov-Ma breather coincided to 14-yr periodicity for jerk's reports in the years 1902, 1916, 1930, 1944, 1958, 1972, 1986, 2000, 2014. We don't deny the random turbulences but we find that the random driven jerks have lower energies.
A presença da educação literária na formação inicial de pedagogos(as): contribuições de um componente curricular
Authors: De Almeida dos Santos Stéfane , CAVALCANTI Marineuma de Oliveira Costa
Published: April 2022

O presente trabalho parte da experiência de monitoria acadêmica vivenciada no componente curricular Língua e Literatura da graduação em Pedagogia vinculada à Universidade Federal da Paraíba (UFPB). Com isso, o objetivo consiste em verificar os efeitos do referido componente na formação de graduandos e graduandas em Pedagogia do Centro de Educação (CE/UFPB). Para tanto, realizamos uma pesquisa qualitativa com oito estudantes que cursaram o componente, por meio de um questionário on-line como instrumento. Além disso, apoiamo-nos nos pressupostos teóricos de Aguiar (2001); Bordini e Aguiar (1988); Candido (1995); Freire (1996); Reyes (2012); Saldanha e Amarilha (2018), dentre outros. Sendo assim, os resultados obtidos revelaram que o desenvolvimento do componente durante março a julho de 2021 garantiu a presença de uma educação literária na formação inicial dos estudantes, pois agregou repertório teórico e metodológico que servirão de base para a atuação docente na Educação Infantil e anos iniciais do Ensino Fundamental.
Professores, escola e currículo constituindo o percurso de uma disciplina
Authors: Bioto Cavalcanti Patrícia Aparecida , Teixeira Rosiley Ap.
Published: April 2022

O objetivo deste artigo é analisar a constituição da disciplina Teorias do Currículo de um Programa de Pós-graduação em Educação em uma universidade paulistana. Problematiza o percurso da disciplina via os estudos sobre as teorias do currículo, que se dava por enquadramentos e classificações das mesmas, e via leituras da história cultural. Interroga as possibilidades de se fazer uma teoria do currículo que incorpore leituras a partir da compreensão e do significado da escola moderna, permitindo que a disciplina (Teorias do Currículo) avance tanto em seus aspectos conceituais quanto nos da escolarização da infância e (em) seus aparatos. O texto foi construído segundo uma metodologia bibliográfica usando os autores e obras que compuseram a disciplina. Pode-se afirmar que a incorporação de leituras corolárias da teoria da forma escolar moderna ofereceram a disciplina e ao entendimento sobre o currículo nela construída a possibilidade de uma virada interpretativa.
Implicações de uma comunidade de aprendizagem ao desenvolvimento profissional docente de professoras da educação infantil em tempos de pandemia
Authors: De Oliveira Da Silva Thaís , Buzzi Rausch Rita , Dos Santos Pereira Sopelsa Cleide
Published: April 2022

No ano de 2020, devido à pandemia, as instituições de educação tiveram que se reinventar para dar continuidade às propostas formação de professores. O presente artigo tem por objetivo compreender as implicações de uma comunidade de aprendizagem em tempos de pandemia ao desenvolvimento profissional docente de professoras de um Centro de Educação Infantil do município de Gaspar, Santa Catarina. O estudo fundamenta-se em Nóvoa (1992), Garcia (1999), Gatti (2008), Imbernón (2009), dentre outros. Trata-se de pesquisa qualitativa, cujos dados, gerados por meio de entrevistas semiestruturadas individuais e grupo de interlocução, apontaram para: ampliação de saberes docentes; reflexões sobre a prática educativa em tempos de pandemia; amenização dos dilemas da prática no retorno das aulas presenciais; mudanças na prática docente; e continuidade no processo de formação. Espera-se, com esta pesquisa, ampliar as reflexões acerca da potência de processos formativos colaborativos.
A educação e seus desafios em tempos de isolamento social: reflexos em uma turma do curso de licenciatura integrada da ufpa
Authors: Junior Jose Erildo , Faccio Tatiana , Pereira Marcos Fabrício Ferreira
Published: April 2022

A proposta discutida ao longo deste artigo oferece possibilidades para um aprofundamento teórico e metodológico de assuntos relativos aos anos iniciais do ensino fundamental para propor, produzir materiais e realizar atividades de ensino de matemática mediadas pela pesquisa da área. Por isso, tem como objetivo refletir sobre as possibilidades de exploração dos conhecimentos adquiridos nas oficinas, tendo em vista seu uso em futuras experiências de sala de aula, como docente. Quanto aos procedimentos metodológicos, nos apoiaremos na organização de discussões de temas de matemática que podem emergir das atividades e materiais didáticos propostos para a realização de oficinas didáticas, estabelecendo relações entre os conteúdos explorados nas atividades. A avaliação do desempenho dos alunos terá como base a mensuração do conjunto de atividades desenvolvidas em sala de aula e a apresentação das oficinas. Ao final, cada aluno elaborou um relatório relatando o que fez e o que aprendeu.
Dimensions sociales et risque suicidaire associés à la fatigue en clinique de la douleur chronique
Authors: Richard M.
Published: April 2022

La fatigue et la fatigabilité sont deux dimensions particulièrement identifiables en clinique de la douleur. Parfois, elles semblent même se situer au premier plan du sentiment d’infirmité qui est exprimé au travers de la plainte du patient. Or, de toute évidence, la fatigue peut constituer une véritable entrave au soulagement de la douleur ; a fortiori, si celle-ci s’immisce progressivement, telle une obstruction relationnelle, jusqu’à immerger le patient douloureux au sein d’une profonde détresse.
Centromedian thalamic deep brain stimulation for drug-resistant epilepsy: single-center experience
Authors: Yang Jimmy C. , Bullinger Katie L. , Isbaine Faical , Alwaki Abdulrahman , Opri Enrico , Willie Jon T. , Gross Robert E.
Published: April 2022

OBJECTIVE

Neuromodulation of the centromedian nucleus of the thalamus (CM) has unclear effectiveness in the treatment of drug-resistant epilepsy. Prior reports suggest that it may be more effective in the generalized epilepsies such as Lennox-Gastaut syndrome (LGS). The objective of this study was to determine the outcome of CM deep brain stimulation (DBS) at the authors’ institution.

METHODS

Retrospective chart review was performed for all patients who underwent CM DBS at Emory University, which occurred between December 2018 and May 2021. CM DBS electrodes were implanted using three different surgical methods, including frame-based, robot-assisted, and direct MRI-guided. Seizure frequency, stimulation parameters, and adverse events were recorded from subsequent clinical follow-up visits.

RESULTS

Fourteen patients underwent CM DBS: 9 had symptomatic generalized epilepsy (including 5 with LGS), 3 had primary or idiopathic generalized epilepsy, and 2 had bifrontal focal epilepsy. At last follow-up (mean [± SEM] 19 ± 5 months, range 4.1–33 months, ≥ 6 months in 11 patients), the median seizure frequency reduction was 91%. Twelve patients (86%) were considered responders (≥ 50% decrease in seizure frequency), including 10 of 12 with generalized epilepsy and both patients with bifrontal epilepsy. Surgical adverse events were rare and included 1 patient with hardware breakage, 1 with a postoperative aspiration event, and 1 with a nonclinically significant intracranial hemorrhage.

CONCLUSIONS

CM DBS was an effective treatment for drug-resistant generalized and bifrontal epilepsies. Additional studies and analyses may investigate whether CM DBS is best suited for specific epilepsy types, and the relationship of lead location to outcome in different epilepsies.
Endovascular treatment of anterior cranial base dural arteriovenous fistulas as a first-line approach: a multicenter study
Authors: Trivelato Felipe P. , Smajda Stanislas , Saleme Suzana , Castro-Afonso Luís Henrique de , Abud Thiago G. , Ulhôa Alexandre C. , Blanc Raphael , Abud Daniel G. , Mounayer Charbel , Piotin Michel , Rezende Marco Túlio S.
Published: April 2022

OBJECTIVE

Anterior cranial fossa dural arteriovenous fistulas (DAVFs) have been almost exclusively considered as surgical lesions. However, new advances in endovascular technology have made the endovascular treatment (EVT) of ethmoidal DAVFs feasible. The aim of this study was to report the clinical and angiographic outcomes of patients harboring DAVFs of the anterior cranial fossa who had undergone EVT as a first-line approach.

METHODS

This was a retrospective study of a consecutive series of patients harboring anterior cranial base DAVFs who had undergone EVT as a first-line approach at four institutions. Angiographic follow-up was performed at 6 months. Immediate and late serious clinical events were assessed during follow-up, including death and stroke. Special emphasis was given to visual status before and after the treatment.

RESULTS

Between 2008 and 2020, 37 patients with ethmoidal DAVFs were admitted to the participating centers. In 2 patients, EVT was not attempted; therefore, 35 patients underwent EVT as a first-line procedure. An isolated transarterial approach was performed in 19 (54.3%) patients. The transvenous approach was performed exclusively in 12 (34.3%) patients, and combined access was used in 4 (11.4%) patients. The most frequently used arterial access route was the ophthalmic artery in 82.6% of the patients. Immediately, complete angiographic occlusion was achieved in 31 (91.2%) of 34 patients whose treatment was accomplished. Six-month control angiography revealed that 30 (88.2%) DAVFs were totally occluded. Complications occurred in 3 (8.8%) patients, including 1 (2.9%) patient who had central retinal artery occlusion. No significant difference in complications or occlusion rates was noted between the transarterial and transvenous approaches.

CONCLUSIONS

Most anterior cranial base DAVFs can be successfully treated via an endovascular approach. Neurological and visual complications are rare, even if the ophthalmic artery is used as the primary access route. Efforts should be focused on prospectively comparing the results of EVT and surgical management.
Peran Komite Sekolah dalam Mengembangkan Mutu Pendidikan di Sekolah
Authors: Muttaqin Zedi , Nurwati Nurwati
Published: April 2022

Mutu Pendidikan masih belum mengembirakan belakangan ini, hal ini terjadi karena pengelolaan pendidikan pada tingkat pemerintah daerah dan satuan pendidikan yang sepenuhnya belum terwujud. Komite sekolah mempunyai peran penting dalam mengembangkan mutu pendidikan di Sekolah, keberadaan Komite Sekolah merupakan bagian dari perwujudan manejemen berbasis Sekolah yang melibatkan berbagai komponen, termasuk masyarakat dan wali murid. Tujuan penelitian untuk mengetahui peran Komite Sekolah dalam mengembangkan mutu Pendidikan di SMPN 1 Mbelilin. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif. Informan penelitian yaitu Ketua Komite Sekolah, Kepala Sekolah dan anggota Komite Sekolah. Metode pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa Komite Sekolah berperan sebagai penimbang terhadap penyediaan dan penggunaan sarana dan prasarana yang di butuhkan oleh sekolah, pengontrol terhadap proses pengambilan keputusan sekolah, dan sebagai mediator untuk mewujudkan berupa penghubung antara kepala sekolah dengan masyarakat dalam membuat ulasan kebijakan dan beberapa program pendidikan.The quality of education has not been improved lately, this is because the management of education at the local government level and education units have not fully materialized. School committees have an important role in developing the quality of education in schools, the existence of school committees is part of the realization of school-based management involving various components, including the community and parents. The purpose of the research is to find out the role of the School Committee in developing the quality of Education at SMPN 1 Mbelilin. This study uses a qualitative method with a descriptive approach. Research informants are the Chairman of the School Committee, the Principal, and members of the School Committee. The data collection methods used are observation, interview, and documentation. The results showed that the School Committee serves as a weigher against the provision and use of facilities and infrastructure needed by the school, controller of the school decision-making process, and as a mediator to realize the liaison between the principal and the community in making policy reviews and some educational programs.
Dampak Pembelajaran Dalam Jaring Terhadap Hasil Belajar Siswa Pada Mata pelajaran PKn
Authors: Hafsah Hafsah , Bidaya Zaini , Kadafi Muammar
Published: April 2022

Dampak menurunya prestasi siswa dapat dipengaruhi oleh pergaulan remaja, motivasi belajar kurang, kurangnya inovasi pendidik. Dengan demikian pembelajaran perlu dilakukan inovasi agar prestasi belajar siswa dapat meningkat. tujuan dalam artikel ini menjelaskan dampak pembelajaran dalam jaring terhadap hasil belajar siswa pada mata pelajaran PKn. Metode penelitian ini menggunakan penelitian kuantitatif dengan pendekatan eksperimen. Jumlah sampel penelitian yang telah digunakan sebanyak 40 orang, kemudian pengumpulan data menggunakan tes, dokumentasi dan observasi, instrument penelitian yang telah digunakan yaitu validitas dan reliabilitas. Analisis data menggunakan uji prasyarat, uji normalitas, uji homogenitas, dan uji hipotesis. Hasil penelitian menunjukkan bahwa ada dampak yang signifikan pada pembelajaran dalam jaring terhadap hasil belajar siswa pada mata pelajaran PKn sebesar 82,25 sementara 17,75 dipengaruhi variable lainnya. Adanya dampak pembelajaran tersebut dikarenakan proses pembelajaran dalam jaringan menggunakan aplikasi WhatsApp, Zoom Meetting, dan Google Classroom. Selain itu pembelajaran dalam jaringan memiliki kendala pada ketersediaan kuota internet yang kurang sehingga proses pembelajarannya sebagian dilakukan tata muka seperti mengunjungi rumah siswa.The impact of declining student achievement can be influenced by adolescent relationships, lack of learning motivation, lack of educator innovation. Thus learning needs to be innovated so that student learning achievement can increase. The purpose of this article is to explain the impact of online learning on student learning outcomes in Civics subjects. This research method uses quantitative research with an experimental approach. The number of research samples that have been used as many as 40 people, then data collection using tests, documentation and observations, research instruments that have been used are validity and reliability. Data analysis used prerequisite test, normality test, homogeneity test, and hypothesis testing. The results showed that there was a significant impact on online learning on student learning outcomes in Civics subjects of 82.25 while 17.75 was influenced by other variables. The impact of this learning is due to the online learning process using the WhatsApp application, Zoom Meeting, and Google Classroom. In addition, online learning has problems with the availability of insufficient internet quota so that the learning process is partly carried out face-to-face such as visiting students' homes
Туристична поведінка як форма сприйняття соціального простору особистістю
Authors: Грабовець Ірина Володимирівна
Published: April 2022

У статті розглянуто можливості особистості через туристичну активність та використання різноманітних туристичних практик розширити межі власного ін- терсуб’єктного світу. Стверджується, що сучасна соціальна реальність складається з багатьох видів діяльності, які дають змогу особистості самореалізуватися, а та- кож є обтяженою великою кількістю інформації, що породжує почуття самотності та відчуженості індивіда в навколишньому середовищі. Туристична активність дає змогу особистості розширити межі власного соціального простору та позбавитися негативних емоцій у сучасному світі.
Специфічні ознаки бідності в українському суспільстві
Authors: Комарова Олена Олексіївна , Братченко Людмила Євгеніївна
Published: April 2022

У роботі автори досліджують проблему бідності в Україні, зокрема методи її вимірювання, сучасний стан захищеності та платоспроможності окремих соціально-демографічних верств населення, зокрема працюючого населення. Бідність як економічне та соціальне явище у сучасному світі формує серйозну погрозу соціальної безпеки як країни, так і окремої людини. Проаналізовані ознаки бідності, які мають низку специфічних особливостей в українському суспільстві, зокрема: низький рівень життя населення в цілому, висока питома вага людей, котрі вважають себе бідними, психологічне неприйняття економічної нерівності та розповсюдженість бідності серед працюючого населення. Автори розглядають способи пом’якшення бідності серед населення, а саме: дії пасивного характеру (адресні грошові виплати, субсидії характеру (допомога у працевлаштуванні, відкритті власної справи, зокрема безоплатні консультаційні послуги юридичного характеру, а також сприяння у отриманні необхідної кваліфікації та перекваліфікації певних видів професій).
Перспективи та напрямки використання лісових культурфітоценозів для гармонізації природного середовища промислових регіонів
Authors: Савосько Василь Миколайович , Квітко Максим Олександрович
Published: April 2022

Основною метою цієї роботи було розглянути штучні деревні насадження з точки зору екосиссемного підходу, як значний фактор поліпшення екологічного середовища для впровадження парадигми сталого розвитку в умовах техногенного навантаження промислових об’єктів Криворіжжя. Протягом 2015–2020 років класичними методами вивчалися природні лісові екосистеми та штучні лісові насадження, які розташовані в контрастних екологічних умовах. Актуальність нашого дослідження визначається необхідністю пошуку практичних заходів, спрямованих на формування та утримання деревних насаджень для підвищення стійкості на ділянках в умовах техногенного навантаження шляхом оцінки їх життєвого стану та біометричних показників.
Партиципний клас односкладних синтаксичних конструкцій сучасної української мови як специфічна риса української синтаксичної системи
Authors: Городецька В. А.
Published: April 2022

Досліджено одну із специфічних односкладних структур в українській мові – конструкцію партиципного класу. Зроблено порівняльний аналіз односкладних речень на -но, -то українського й російського синтаксису. У результаті зіставного аналізу виявлено специфіку цих речень в українській мові.
Синонімічні відношення конструкцій з прийменником ПО у значенні способу дії
Authors: Малюга Н. М.
Published: April 2022

Досліджено закономірності формування, виявлення семантики та причини синонімії конструкцій з одним найбільш продуктивним прийменником сучасної української мови - прийменником ПО.
Програмовані підготовчі картки з ділової і наукової української мови як засіб формування грунтовних знань студентів нефілологічних факультетів інститутів
Authors: Присяжна Т. М.
Published: April 2022

Проаналізовано систему питань і завдань з ділової української мови, що сприяють формуванню ґрунтовних знань студентів нефілологічних факультетів закладів вищої освіти під час їх роботи з навчальною літературою.
Особливості структурно-семантичного зв'язку сполучникових складних речень (на матеріалі п'єси М. Л. Кропивницького "Глитай або ж повук")
Authors: Яловий Ф. З.
Published: April 2022

Досліджено мовні особливості драматичних творів М. Кропивницького. Акцентовано увагу на особливостях структурно-семантичного зв’язку сполучникових складних речень (на матеріалі п’єс М. Кропивницького).
USA - Africa: Secretary of State Antony J. Blinken’s Visit to Kenya, Nigeria, and Senegal (November 2021). Part 2
Authors: Urnov Andrey
Published: April 2022

In the second part of the article three topics are reviewed. The US secretary of state visit to Senegal (November 20, 2021). Senegal was of particular interest to the United States as a member of French speaking community of African countries and a 2022 chairmen of the African Union.
A. Blinken was received by President M. Sall. A comprehensive discussion with Foreign minister Aissata Sall was devoted to the cooperation in five areas of “common interests - global health, the climate crisis, inclusive economic growth, democracy, peace and security”. During the visit the Senegal government and four American companies signed a Memorandum of $1 billion investments into infrastructural projects of the country.
The remarks made by the secretary during his stay in Africa provide the materials for the assessment of the US position on four acute conflict situations on the continent. Proposed schemes of settlement: Ethiopia - end of hostilities between the Federal government and the Tigray People's Liberation Front, dialogue and negotiated political agreement; Somalia - the conclusion of parliament formation and presidential elections; Sudan and Mali - transit from military regimes to democratic civilian led governments.
The author cites factual aspects of Africa participation in the virtual global “Summit for democracy” initiated by President Biden (December 8-10, 2021). The Summit was conceived as a step toward the establishment of the US-led global alliance against China and Russia under the cover of democracy protection from “authoritarianism”. Out of 54 African states only 17 were invited. Surprisingly Algeria, Morocco, Tunisia and Egypt were left out.
KAHRAMANMARAŞ YÖRESİNDEKİ AVCILARIN AVLANMA İLE İLGİLİ BİLİNÇ DÜZEYLERİNİN BELİRLENMESİ
Authors: PAK Mehmet , AYSABAR Ali , OKUMUŞ Arif
Published: April 2022

Türk toplumu açısından önemli bir etkinlik olan avcılık, toplumun yapısını etkilemiş ve kültürünü de şekillendirmiştir. Başlangıçta bireysel tatmin için gerçekleştirilen avcılık etkinliği günümüzde yerel, bölgesel, ulusal ve hatta uluslararası boyutları olan bir sektör haline gelmiştir. Avcılık ile ilgili sorunların önemli bir kısmı insan yapısının ve kültürel hassasiyetlerinin belirlenememesinden kaynaklanmaktadır. Bu nedenle avcıların çeşitli yönleriyle tanınmaları gerekmektedir. Bu çalışma, Akdeniz Bölgesinde yer alan Kahramanmaraş’ta avcıların avcılık ve avlanma ile ilgili bilinç düzeylerini belirlemek amacıyla gerçekleştirilmiştir. Anket çalışması 160 avcı ile gerçekleştirilmiştir. İki bölümden oluşan bir anket formu kullanılmıştır. Anketin ilk bölümünde sosyoekonomik değişkenlerin yer aldığı 6 soru, ikinci bölümde bilinç düzeyini belirlemeye yönelik ifadelerin yer aldığı 9 soru bulunmaktadır. Anket çalışması ile elde edilen veriler SPSS programıyla değerlendirilmiştir. Çalışmada veriler frekans ve Tek Yönlü Varyans analizi ile değerlendirilmiştir. Çalışma sonucunda ankete katılanların %17,5’inin orta, %82,5’inin yüksek düzeyde bilince sahip olduğu belirlenmiştir. Avcıların bilinç düzeyleri ile sosyoekonomik değişkenler arasında istatistiksel olarak anlamlı farklılık olmadığı tespit edilmiştir.
Expression pattern and prognostic significance of CDKs in breast cancer: An integrated bioinformatic study
Authors: Mehraj Umar , Sofi Shazia , Alshehri Bader , Mir Manzoor A.
Published: April 2022

BACKGROUND: Globally, breast cancer (BC) has become one of the most prevalent malignancies and the leading cause of tumor-related deaths among women. Dysregulation of the cell cycle is a well-known hallmark of cancer development and metastasis. CDKs are essential components of the cell-cycle regulatory system with aberrant expression in a variety of cancers, including BC. In the development of targeted cancer treatment, reestablishing the regulation of the cell cycle by modulation of CDKs has emerged as a promising approach. METHODS: Herein, we used a bioinformatic approach to assess the expression pattern, prognostic and diagnostic importance, and clinical relevance of CDKs in BC. Additionally, we conducted a functional enrichment analysis of deregulated CDKs using the STRING and KEGG databases to delineate the role of CDKs in breast tumorigenesis. RESULTS: Gene expression analysis revealed substantial deregulation of CDKs in BC, with CDK1, CDK11A, and CDK18 showing a fold change of >± 1.5. Also, metastatic tumors showed high expression of CDK1 in the single cell RNA sequencing analysis of primary and metastatic breast tumors. Additionally, it was found that dysregulated CDK expression affects overall survival (OS) and relapse-free survival (RFS) of BC patients. CONCLUSION: The study’s multimodal analytical methodologies imply that modulating CDKs for BC treatment is a promising approach.
From space to biomedicine: Enabling biomarker data science in the cloud
Authors: Crichton D.J. , Cinquini L. , Kincaid H. , Mahabal A. , Altinok A. , Anton K. , Colbert M. , Kelly S. , Liu D. , Patriotis C. , Lombeyda S. , Srivastava S.
Published: April 2022

NASA’s Jet Propulsion Laboratory (JPL) is advancing research capabilities for data science with two of the National Cancer Institute’s major research programs, the Early Detection Research Network (EDRN) and the Molecular and Cellular Characterization of Screen-Detected Lesions (MCL), by enabling data-driven discovery for cancer biomarker research. The research team pioneered a national data science ecosystem for cancer biomarker research to capture, process, manage, share, and analyze data across multiple research centers. By collaborating on software and data-driven methods developed for space and earth science research, the biomarker research community is heavily leveraging similar capabilities to support the data and computational demands to analyze research data. This includes linking diverse data from clinical phenotypes to imaging to genomics. The data science infrastructure captures and links data from over 1600 annotations of cancer biomarkers to terabytes of analysis results on the cloud in a biomarker data commons known as “LabCAS”. As the data increases in size, it is critical that automated approaches be developed to “plug” laboratories and instruments into a data science infrastructure to systematically capture and analyze data directly. This includes the application of artificial intelligence and machine learning to automate annotation and scale science analysis.
Machine learning-based authorship attribution using token n-grams and other time tested features
Authors: Gupta Sumit , Das Swarupa , Mallik Jyotish Ranjan
Published: April 2022

Authorship Attribution is a process to determine and/or identify the author of a given text document. The relevance of this research area comes to the fore when two or more writers claim to be the prospective authors of an unidentified or anonymous text document or are unwilling to accept any authorship. This research work aims to utilize various Machine Learning techniques in order to solve the problem of author identification. In the proposed approach, a number of textual features such as Token n-grams, Stylometric features, bag-of-words and TF-IDF have been extracted. Experimentation has been performed on three datasets viz. Spooky Author Identification dataset, Reuter_50_50 dataset and Manual dataset with 3 different train-test split ratios viz. 80-20, 70-30 and 66.67-33.33. Models have been built and tested with supervised learning algorithms such as Naive Bayes, Support Vector Machine, K-Nearest Neighbor, Decision Tree and Random Forest. The proposed system yields promising results. For the Spooky dataset, the best accuracy score obtained is 84.14% with bag-of-words using Naïve Bayes classifier. The best accuracy score of 86.2% is computed for the Reuter_50_50 dataset with 2100 most frequent words when the classifier used is Support Vector Machine. For the Manual dataset, the best score of 96.67% is obtained using the Naïve Bayes Classification Model with both 5-fold and 10-fold cross validation when both syntactic features and 600 most frequent unigrams are used in combination.
Online learning agents for cost-sensitive topical data acquisition from the web
Authors: Naghibi Mahdi , Anvari Reza , Forghani Ali , Minaei Behrouz
Published: April 2022

Access to one of the richest data sources in the world, the web, is not possible without cost. Often, this cost is not taken into account in data acquisition processes. In this paper, we introduce the Learning Agents (LA) method for automatic topical data acquisition from the web with minimum bandwidth usage and the lowest cost. The proposed LA method uses online learning topical crawlers. The online learning capability makes the LA able to dynamically adapt to the properties of web pages during the crawling process of the target topic, and learn an effective combination of a set of link scoring criteria for that topic. That way, the LA resolves the challenge in the mechanism of combining the outputs of different criteria for computing the value of following a link, in the formerly approaches, and increases the efficiency of the crawlers. A version of the LA method is implemented that uses a collection of topical content analyzers for scoring the links. The learning ability in the implemented LA resolves the challenge of the unclear appropriate size of link contexts for pages of different topics. Using standard metrics in empirical evaluation indicates that when non-learning methods show inefficiency, the learning capability of LA significantly increases the efficiency of topical crawling, and achieves the state of the art results.
Stock market network based on bi-dimensional histogram and autoencoder
Authors: Choi Sungyoon , Gwak Dongkyu , Song Jae Wook , Chang Woojin
Published: April 2022

In this study, we propose a deep learning related framework to analyze S&P500 stocks using bi-dimensional histogram and autoencoder. The bi-dimensional histogram consisting of daily returns of stock price and stock trading volume is plotted for each stock. Autoencoder is applied to the bi-dimensional histogram to reduce data dimension and extract meaningful features of a stock. The histogram distance matrix for stocks are made of the extracted features of stocks, and stock market network is built by applying Planar Maximally Filtered Graph(PMFG) algorithm to the histogram distance matrix. The constructed stock market network represents the latent space of bi-dimensional histogram, and network analysis is performed to investigate the structural properties of the stock market. we discover that the structural properties of stock market network are related to the dispersion of bi-dimensional histogram. Also, we confirm that the autoencoder is effective in extracting the latent feature of the bi-dimensional histogram. Portfolios using the features of bi-dimensional histogram network are constructed and their investment performance is evaluated in comparison with other benchmark portfolios. We observe that the portfolio consisting of stocks corresponding to the peripheral nodes of bi-dimensional histogram network shows better investment performance than other benchmark stock portfolios.
Learning to transfer knowledge from RDF Graphs with gated recurrent units
Authors: Soliman Hatem , Khan Izhar Ahmed , Hussain Yasir
Published: April 2022

The Internet is a vital part of today’s ecosystem. The speedy evolution of the Internet has brought up practical issues such as the problem of information retrieval. Several methods have been proposed to solve this issue. Such approaches retrieve the information by using SPARQL queries over the Resource Description Framework (RDF) content which requires a precise match concerning the query structure and the RDF content. In this work, we propose a transfer learning-based neural learning method that helps to search RDF graphs to provide probabilistic reasoning between the queries and their results. The problem is formulated as a classification task where RDF graphs are preprocessed to abstract the N-Triples, then encode the abstracted N-triples into a transitional state that is suitable for neural transfer learning. Next, we fine-tune the neural learner to learn the semantic relationships between the N-triples. To validate the proposed approach, we employ ten-fold cross-validation. The results have shown that the anticipated approach is accurate by acquiring the average accuracy, recall, precision, and f-measure. The achieved scores are 97.52%, 96.31%, 98.45%, and 97.37%, respectively, and outperforms the baseline approaches.
Blood Tests for Alzheimer’s Disease: Increasing Efforts to Expand and Diversify Research Participation Is Critical for Widespread Validation and Acceptance
Authors: Karikari Thomas K.
Published: April 2022

The recent academic and commercial development, and regulatory approvals, of blood-based Alzheimer’s disease (AD) biomarkers are breakthrough developments of immense potential. However, clinical validation studies and therapeutic trial applications are limited almost exclusively to non-Hispanic White cohorts often including highly-educated, high-earning participants. This commentary argues that the true benefits of blood tests for AD will be realized by active inclusion of diverse groups including minoritized populations, people of socioeconomic status different from those included in existing cohorts, and residents of low- and middle-income countries. The article discusses key factors that are critical for a successful implementation of diversity programs.
PSEN2 Mutation Spectrum and Novel Functionally Validated Mutations in Alzheimer’s Disease: Data from PUMCH Dementia Cohort
Authors: Dong Liling , Liu Caiyan , Sha Longze , Mao Chenhui , Li Jie , Huang Xinying , Wang Jie , Chu Shanshan , Peng Bin , Cui Liying , Xu Qi , Gao Jing
Published: April 2022

Background: The established causative mutations in the APP, PSEN1, and PSEN2 can explain less than 1%,Alzheimer’s disease (AD) patients. Of the identified variants, the PSEN2 mutations are even less common. Objective: With the genetic study from the dementia cohort of Peking Union Medical College Hospital (PUMCH), we aim to illustrate the PSEN2 mutation spectrum and novel functionally validated mutations in Chinese AD patients. Methods: 702 AD participants, aged 30–85, were identified in PUMCH dementia cohort. They all received history inquiry, physical examination, biochemical test, cognitive evaluation, brain CT/MRI, and next-generation DNA sequencing. Functional analysis was achieved by transfection of the HEK293 cells with plasmids harboring the wild-type PSEN2 or candidate mutations. Results: Nine PSEN2 rare variants were found, including two reported (M239T, R62C) and seven novel variants (N141S, I368F, L396I, G117X, I146T, S147N, H220Y). The HEK293 cells transfected with the PSEN2 N141S, M239T, I368F plasmids showed higher Aβ42 and Aβ42/Aβ40 levels relative to the wild-type PSEN2. The PSEN2 L396I, G117X, S147N, H220Y, and R62C did not alter Aβ42, Aβ40 levels, or Aβ42/Aβ40 ratio. 1.9%,(13/702) subjects harbored rare PSEN2 variants. 0.4%,(3/702) subjects carried pathogenic/likely pathogenic PSEN2 mutations. The three subjects with the functionally validated PSEN2 mutations were all familial early-onset AD patients. The common symptoms included amnesia and mental symptom. Additionally, the M239T mutation carrier presented with dressing apraxia, visuospatial agraphia, dyscalculia and visual mislocalization. Conclusion: The PSEN2 N141S, M239T, and I368F are functionally validated mutations.
Meta-learning for few-shot time series forecasting
Authors: Xiao Feng , Liu Lu , Han Jiayu , Guo Degui , Wang Shang , Cui Hai , Peng Tao
Published: April 2022

Time series forecasting (TSF) is significant for many applications, therefore the exploration and study for this problem has been proceeding. With the advances of computing power, deep neural networks (DNNs) have shown powerful performance on many machine learning tasks when considerable amounts of data can be used. However, sufficient data may be unavailable in some scenarios, which leads to performance degradation or even not working of DNN-based models. In this paper, we focus on few-shot time series forecasting task and propose to employ meta-learning to alleviate the problems caused by insufficient training data. Therefore, we propose a meta-learning-based prediction mechanism for few-shot time series forecasting task, which mainly consists of meta-training and meta-testing. The meta-training phase uses first-order model-agnostic meta-learning algorithm (MAML) as a core component to conduct cross-task training, and thus our method also inherits the advantages of the MAML, i.e., model-agnostic, in the sense that our method is compatible with any model trained with gradient descent. In the meta-testing phase, the DNN-based models are fine-tuned by the small number of time series data from an unseen task in the meta-training phase. We design two groups of comparison models to validate the effectiveness of our method. The first group, as the baseline models, is trained directly on specific time series dataset from target task. The second group, as comparison models, is trained by our proposed method. Also, we conduct data sensitivity study to validate the robustness of our method. The experimental results indicate the second group models outperform the first in different degrees in terms of prediction accuracy and convergence speed, and our method has strong robustness for forecast horizons and data scales.
RETRACTED: An evaluation of machine learning and deep learning models for drought prediction using weather data
Authors: Jiang Weiwei , Luo Jiayun
Published: April 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Research on combat simulation agent modelling methods combined with reinforcement learning
Authors: Wei Yuanyuan , Jiang Nan , Zhang Zheng , Zeng Mengxiong , Yang Zhenkai
Published: April 2022

Agent-based combat simulation is an important research method in the field of military science and system simulation. Behaviour decision model plays the key role in the design of combat simulation agents. The behaviour tree (BT) designed by nonplayer characters (NPCs) in the game provides an efficient and concise method for the construction of combat simulation agents and has been widely used. Because the rationality of BT construction directly affects the rationality of agent decision logic, designing a reasonable BT has become a crucial step. The design of the operational agent BT not only relies on rich tactical experience but also needs to repeatedly adjust and optimize the BT according to the operational deduction and simulation results. To avoid unreasonable BT design caused by lack of experience and eliminate the process of repeated debugging, a modelling method of a combat simulation agent that combines reinforcement learning and the BT method was proposed. This method not only makes the design process of BT more automatic but also simplifies the experience requirements of the combat simulation agent designers. Experiments show that RL-BT effectively integrates the reinforcement learning method and can endow combat simulation agents with battlefield learning ability while making independent decisions. The agent based on RL-BT for decision modelling can continuously adjust and optimize the decision process through experience accumulation, and its performance in combat simulation is significantly better than that of the agent using the original BT.
Aspergillus niger based lipase-tween 80 aggregates as interfacial activated biocatalyst for biodiesel production: Optimization using response surface methodology
Authors: Ghasemzadeh Bahar , Matin Amir Abbas , Ebadi Mostafa , Habibi Biuck
Published: April 2022

Biodiesel is a renewable energy source, which is produced through transesterification reactions. Despite great attention to develop enzymatic biodiesel production, there are serious obstacles to the industrial development of it such as its cost and slow reaction rate. Along with disadvantages, there are several advantages for enzymatic biodiesel production. Higher purity of fuel and glycerol is known as the most important achievement of enzymatic process. In this study, performance of four different fungi for lipase production was investigated and Aspergillus niger was selected as enzyme source. Lipase production were optimized using experimental design and the optimized factors were determined as pH 5, temperature 30 °C, Potato Dextrose Broth (PDB) 3 % w/v, olive oil 1.50 % v/v, with maximum lipase activity of 42.8±0.51 U/mg. In order to interfacial activation of the lipase, effect of surfactants was studied. Therefore, surfactant-enzyme aggregates were used as biocatalyst for transesterification reaction. Effects of factors on biodiesel yield were studied too. The yield was 96.41±1.20 % at the optimized conditions (methanol/oil molar ration 5.50:1, enzyme concentration 19 % v/ w, Tween 80 concentration 19 mg L–1, temperature 40 °C and reaction time 46 h).
Point-of-care ultrasound educational interventions in the neonatal intensive care unit: A systematic review
Authors: Zheng Y. , Gandhi A. , Sewell K. , Tumin D. , Bear K.
Published: April 2022

OBJECTIVE: The benefits of point-of-care ultrasound (POCUS) in the neonatal intensive care unit (NICU) have been widely recognized, but education on this area of practice remains variable. We reviewed published educational interventions regarding POCUS use in the NICU and whether they have led to sustainable increases in POCUS use. METHODS: A systematic search of 6 databases was performed for publications from January 2000 to March 2021. Studies with quantitative data related to POCUS educational interventions in the NICU were included. Data on number of participants and roles, educational intervention, curriculum description, and project outcome measures (including sustainability) was extracted. RESULTS: The search resulted in 686 articles, of which nine studies met the inclusion criteria. Educational interventions included didactic sessions, simulation practice, animal practice, and practice in real patients. The most common assessment was based on the quality and accuracy of the images. At the participant level, the average time to reach proficiency ranged from eight hours and thirty-six minutes to five months, and none of the studies evaluated sustainability of POCUS use after the intervention. CONCLUSION: There is a lack of standardized training modules and assessments for POCUS use in the NICU. Given that none of the studies addressed sustainability or standardized training, we recommend that a standardized training protocol and assessment tool is developed and studied longitudinally; and that barriers to sustainable POCUS use in the NICU (such as billing issues and a lack of POCUS machines and instructors) be systematically addressed as part of this work.