bluuebunny/crossref_metadata_2025 huggingface dataset:
Postpartum Uterine Diseases; Diagnostic Approaches and Management in Farm Animals; A Review
Authors: Dawit Kalacho Natinael
Published: June 2024

Postpartum uterine infections result from uterine contamination with bacteria during parturition. The postpartum environment of the uterine lumen supports the growth of a variety of aerobic and anaerobic bacteria. There are a number of risk factors for post-partum uterine disease in dairy cattle; cows having dystocia, retained placenta, twins or stillbirths and various metabolic disorders are more likely to develop uterine disease. Inflammation of the uterus slows down the process of involution in the uterus and delays the onset of activities of the ovaries leading to economic loss due to systemic illness, loss of milk and meat production and marked drop in fertility. Pyometra, metritis, clinical and subclinical endometritis are some of the most important illnesses during the postpartum period. A variety of methods such as uterine palpation, ultrasonographic features of the uterus, vaginoscopy, endometrial cytology, uterine culture, and uterine biopsy has been reported to identify postpartum diseases. Prevention of postpartum uterine disease would be better than cure, for both the animals and the economy. Thus, early diagnosis or predictions of uterine infections are important for effective postpartum management.
CLINICAL AND INSTRUMENTAL PREDICTORS OF THE EFFICIENCY OF CONSERVATIVE AND OPERATIVE TREATMENT OF MEDIAN NERVE NEUROPATHY IN THE CARPAL TUNNEL
Authors: Haiko Oksana H. , Klymchuk Liudmyla I.
Published: June 2024

Introduction. Clinical and instrumental predictors of the efficiency of conservative and surgical treatment of median nerve neuropathy in the carpal tunnel still remain a topical issue.
Aim. To identify clinical and instrumental predictors of clinical outcomes and patients’ satisfaction after conservative and surgical treatment of carpal tunnel syndrome.
Materials and methods. Analysis of clinical outcomes and patients’ satisfaction in 93 cases with carpal tunnel syndrome: the first group included 49 patients (68 wrists) after conservative and the second group included 44 patients (50 wrists) after surgical treatment. To identify predictors of the efficiency of treatment, analyzed the following clinical-instrumental values: patients’ age, duration of the disease, discriminative sensation, pain intensity according to VAS, values of DASH, BCTQ, CTS scales, clinical stage by Hi-Ob scale, electromyography severity grade according to Bland J.D., nerve conduction study and sonography results.
Results. The nerve conduction study and clinical examinations data (discriminative sensation, clinical stage, duration of the disease, BCTQ and DASH values) show reliable effects on clinical outcomes and patients’ satisfaction after conservative treatment. The sensory nerve action potential amplitude and electromyography severity grade have the highest prognostic accuracy (91.4% and 84.5% respectively) for poor (unsatisfactory) result. For surgical treatment, identified results of nerve conduction study, sonography, and patients' age show reliable effects on clinical outcomes and patients’ satisfaction. The values of the highest prognostic accuracy for poor (unsatisfactory) result were nerve deformity index established by sonography (77.8%) and thenar compound muscle action potential amplitude – by nerve conduction study (78.7%).
Conclusions. We identified clinical-instrumental predictors of clinical outcomes and patients’ satisfaction after conservative and surgical treatment of carpal tunnel syndrome. Specific results of instrumental examination demonstrated excellent diagnostic quality and the highest prognostic accuracy.
RHEOLOGICAL THROMBUS EXTRACTION IN POSTOPERATIVE THROMBOSIS OF THE POPLITEAL-TIBIAL SEGMENT AFTER ENDOVASCULAR METHODS OF REVASCULARIZATION
Authors: Venher Ihor. K. , Kostiv Sviatoslav Ya. , Didenko Sergii N. , Tsiupryk Nadiia. I. , Khvalyboha Dymytriy. V.
Published: June 2024

Introduction. The use of endovascular methods of revascularization of the atherosclerotic stenotic-occlusive process of the femoral-distal arterial bed leads in 1/4 of the primary surgical interventions to the need for repeated surgical intervention, in 6-32% of cases it is complicated by the development of thrombosis of the reconstruction segment, restenosis of the surgical intervention segment [6, 7].
Aim. The main goal of the study was to improve the results of endovascular methods of revascularization of multi-level stenotic-occlusive femoral-distal arterial bed by performing rheological thrombus extraction with the Angiojet system in postoperative thrombosis of the popliteal-tibial segment.
Materials and methods. 164 patients with multilevel stenotic-occlusive atherosclerotic lesions of the femoral-distal arterial bed were under observation. Thrombosis of the popliteal segment was diagnosed in 17 (73.9%) cases in patients with endovascular angioplasty of one of the tibial arteries, in 6 (26.1%) cases with endovascular angioplasty of two arteries of the tibial segment. Surgical treatment of thrombosis of the popliteal segment was performed by the method of minimally invasive rheological thrombus extraction using the Angiojet device (Possies, USA).
Results. A patient with a multilevel stenotic-occlusive process of the femoral-distal arterial bed at clinical stage 3 (according to WIFI classification) had a two-level endovascular angioplasty of the infrainguinal arterial channel. Rheological thrombus extraction from the popliteal-tibial segment using the Angiojet system was used in 14 (60.9%) patients who underwent two-level endovascular angioplasty of the femoral-distal arterial bed. Rheological thrombus extraction from the popliteal-tibial segment with the Angiojet system was used in 9 (34.8%) patients who underwent revascularization of the infrainguinal arterial bed by the hybrid revascularization method.
Conclusions. 1. Endovascular methods of revascularization of multilevel stenotic-occlusive femoral-distal arterial bed are complicated in 14.0% of observations by the development of postoperative thrombosis of the popliteal-tibial segment.

The effectiveness of the application of rheological thrombus extraction by the Angiojet system of postoperative thrombosis from the popliteal-tibial segment after endovascular methods of revascularization of multilevel stenotic-occlusive femoral-distal arterial bed is at the level of 82.6%.
HOW ENEMIES ARE MADE
Authors: Schlee Günther
Published: June 2024

In popular perception cultural differences or ethnic affiliation are factors that cause conflict or political fragmentation although this is not borne out by historical evidence. This book puts forward an alternative conflict theory. The author develops a decision theory which explains the conditions under which differing types of identification are preferred. Group identification is linked to competition for resources like water, territory, oil, political charges, or other advantages. Rivalry for resources can cause conflicts but it does not explain who takes whose side in a conflict situation. This book explores possibilities of reducing violent conflicts and ends with a case study, based on personal experience of the author, of conflict resolution.
The Hau of the Article and Dividual Authors
Authors: Blissett Luther
Published: June 2024

Despite repeated calls for change, social and cultural anthropology is still dominated by single-authored works. I consider two thought experiments that might disturb the status quo in interesting ways. Anthropologists could publish anonymously, treating ourselves in the same way as we treat our anonymised informants, for example, using pseudonyms. Alternatively, we could treat our colleagues in the field not only as equals but also as co-authors. Both these options have implications concerning the ‘dividual’ author (perhaps now thought of as an ‘auth’), and involve rethinking the ‘hau’ of publication.

En dépit d'appels répétés pour une évolution de nos pratiques, l'anthropologie sociale et culturelle est toujours dominée par l'auctorialité au singulier. Je considère ici deux expériences de pensée qui peuvent perturber le status quo en la matière de façon intéressante. Nous pouvons ainsi publier anonymement, nous traitant ainsi de la même manière que nous traitons anonymement nos informateurs, par exemple avec l'usage de pseudonymes. Alternativement, nous pouvons traiter nos collègues sur le terrain non seulement comme des égaux, mais également comme des co-auteurs. Ces deux options ont des implications en ce qui concerne l'auteur « dividuel » (qu'il faut peut-être désormais penser comme un « auth »), ce qui implique de repenser le « hau » de la publication
Die Sakramentalien im Allgemeinen
Authors: Kahle Michael
Published: June 2024

Dieser Artikel über „Sakramentalien im Allgemeinen“ beginnt mit der Unterscheidung zwischenSakramente und Sakramentalien, wie sie im Katechismus der Katholischen Kirche dargelegt sind.Es folgt Kapitel II mit einer Beschreibung der historischen Entwicklung des Begriffs„Sakramentalien“ und wie sie verstanden wurden. Die ersten Hinweise auf den Begriff,die bei Hugo von St. Viktor bis hin zu Thomas von Aquin zu finden sind, werden vorgestellt.Es folgt eine Liste der Definitionen, die verschiedene Theologen am Vorabend entwickelt habender Verkündung des Codex Iuris Canonici im Jahr 1917. Dann gibt es eine Abhandlung-Umsetzung der Bestimmungen über die Sakramentalien, die in das kanonische Recht eingeführt wurdenunter Papst Benedikt XV. Besonderes Augenmerk wird auf die durchgeführten Arbeiten gelegt.vor und während des Zweiten Vatikanischen Konzils, bevor wir mit einem Bericht darüber fortfahrendie richterliche Behandlung von Sakramentalien bis zum Pontifikat von Papst Johannes PaulII. Kapitel III enthält eine systematische Behandlung der Sakramentalien. Anfangmit der kanonischen Definition von Sakramentalien geht es weiter mit einer Beschreibung vonihre Vielfalt und die Frage ihrer Institution. Anschließend werden die Themen Wirksamkeit und Wirkweisen sowie die Frage nach Spendern und Empfängern sakralerGeisteszustände werden behandelt. Ein Abschlusskapitel wirft drei zentrale Fragen zum Thema aufvon Sakramentalien, die zur weiteren theologischen und pastoralen Förderung anregen sollenBetrachtung.
Chrystologia Romana Rogowskiego w kontekście mistyki
Authors: Ferdek Bogdan
Published: June 2024

Zazwyczaj mistykę oddziela się od dogmatu. Dogmat daje poznanie teoretyczne, natomiast mistyka daje doświadczenie rzeczywistości, o której mówi dogmat. Te dwa odrębne sposoby mówienia o rzeczywistości próbuje powiązać ze sobą Roman Rogowski. Na bazie wydarzenia z góry Tabor Rogowski kładzie podwaliny mistycznej chrystologii. Dla trzech apostołów − Piotra, Jakuba i Jana − góraTabor była doświadczeniem chrystologicznego dogmatu: „Ty jesteś Mesjasz, Syn Boga żywego” (Mt 16,16). To doświadczenie dało apostołom jakby eksperymentalne poznanie Chrystusa. Mistyczna chrystologia Rogowskiego konkretyzuje tezę prawosławnego teologa Włodzimierza Łosskiego: nie ma chrystologii bez mistyki, a mistyka jest szczytem chrystologii. Od strony formalnej mistyczna chrystologia Rogowskiego nie przybiera formy traktatu teologicznego w ścisłym znaczeniu. Zbliża się ona do teologii narratywnej, która jest zbiorem opowiadań dotyczących tematów związanych z wiarą. Rogowski nie tylko dał podwaliny mistycznej chrystologii na bazie historiozbawczego znaczenia gór, lecz także ukazał znaczenie gór dla człowieka będącego homo viator. Dla Rogowskiego po górach, które Bóg podtrzymuje w istnieniu, wędruje człowiek będący obrazem Boga. Góry są ramą lub ekranem objawiającego się Boga, bo w akcie stworzenia przez Tego, który jest Tajemnicą, otrzymały coś z Jego tajemnicy. Ta tajemnica gór podpowiada rozumowiistnienie Boga, a trwoga i fascynacja wywoływane górami dają odczuć Boga. Ta górska mistyka jest jednak tylko przedpolem tej mistyki, której Piotr, Jakub i Jan doświadczyli na górze Tabor.
O języku chrystologii w pismach ks. Romana Rogowskiego
Authors: Cichocki Eryk
Published: June 2024

Artykuł poświęcony jest językowi chrystologii ks. Romana Rogowskiego i skupia się na analizie sposobów, za pomocą których Rogowski przestawia Jezusa Chrystusa w swoich tekstach. Celem badania jest ukazanie Chrystusa Kosmicznego jako wiodącej kreacji chrystycznej, a także wyeksponowanie językowych tendencji w mówieniu o Chrystusie, zwłaszcza ukazanie znaczenia poetyki romantycznej i poetyki mistycznej obecnej w pracach Rogowskiego. Przeprowadzona analiza ma charakter panoramiczny i ukazuje ogólne tendencje językowe i teologiczne, ponieważ podjęte badania nie były jak dotąd przedmiotem systematycznych studiów.
Defektów interpretacyjnych jednak brak? Próba obrony własnego stanowiska w obliczu jego zakwestionowania w pracy naukowej księdza profesora Janusza Królikowskiego. Część pierwsza
Authors: Mielnik Dawid
Published: June 2024

Celem opracowania jest próba polemiki z artykułem Księdza Profesora Janusza Królikowskiego opublikowanym w naukowym czasopiśmie „Teologia w Polsce”. W tym studium autor próbuje obronić się przed zarzutami postawionymi mu w artykule polemicznym poprzez bezpośrednie odniesienie się do nich. Artykuł został podzielony na trzy części. Najpierw przybliżone zostały najważniejsze założenia metodyczne studium. Następnie podjęta została polemika z argumentami niemerytorycznymi, a w części trzeciej – z argumentami merytorycznymi. Po dokonanych analizach autor utrzymał swoje zakwestionowane stanowisko.
Guia formativo: Entrelaçando STEAM e o ensino por investigação
Authors: Arrais Taynná Nayara Barreiros , Bicalho Frederico da Silva
Published: June 2024

Este guia formativo, denominado como PE, constitui uma parte integrante da dissertação do Mestrado Profissional intitulada "Educação Científica na Amazônia: articulando STEAM e Ensino por Investigação na trajetória docente". Tal pesquisa foi conduzida no âmbito do realizada no Programa de Pós-Graduação em Educação e Ensino de Ciências na Amazônia (PPGEECA), da Universidade do Estado do Pará (UEPA), na linha de pesquisa Formação de Professores de Ciências e Processo de Ensino e Aprendizagem em Diversos Contextos Amazônicos. O propósito do PE é oferecer um Curso de formação continuada para professores do ensino médio, abordando a metodologia de Ensino por Investigação e abordagem STEAM. Nessa perspectiva, a proposta visa a introdução de estratégias para alterar ou romper com práticas pedagógicas tradicionais, contribuindo assim para um ensino de Ciências que valorize protagonismo dos alunos, que desperte no aluno o interesse pela pesquisa e ciência.
Professional communicative strategies as an element of language training in language teacher education
Authors: Korenev A. A.
Published: June 2024

The article deals with the current state of competence-based language education from the perspective of language teacher education in a dynamically changing world. The article aims to present professional competences as an element of language education, which can be integrated with competence development. It presents a definition of professional communicative strategy and a classification of strategies that must be formed in future language teachers. The main practical outcome of this study is the creation of tasks aimed at the development of professional strategies, some of which are shown in this article alongside some samples of students’ work and reflection
Experimental research on argument structure
Authors: Modina V. V.
Published: June 2024

The paper describes key areas in current experimental research on argument structure. We discuss the experiments that compare verb classes in order to test the argument structure complexity hypotheses and to highlight common argument structure features. Then we present research on argument structure alternations, carried out both on groups of various verbs and on single verb root appearing in various syntactic contexts. Finally, we examine the experiments that focus on the role of argument structure in incremental sentence production.
Definition of the Change Regulations in the Porosity of Semi-permeable Membranes After the Separation of Dairy Raw Materials
Authors: Deinychenko Hryhorii , Dmytrevskyi Dmytro , Chervonyi Vitalii , Horielkov Dmytro
Published: June 2024

Topicality. The article provides a methodology for calculating structural and physical characteristics of semi-permeable membranes after their use in the technological process. During the operation of the membranes, the permeability decreases due to the clogging of their pores with colloidal substances. As a result, it is necessary to obtain data on the distribution of pores on the surface of the investigated ultrafiltration membrane.
The aim of the article is to determine the change regularities in the porosity of the semi-permeable membrane, which is used in the technological process of separating dairy raw materials. This will make it possible to predict hydrodynamic properties of the ultrafiltration membrane.
Research methods. A strain-measuring (statistical) method is offered, as well as structural and physical characteristics of semi-permeable membranes are determined in the process of membrane filtration of skimmed dairy raw materials. The possibility of constructing mathematical dependencies and methods for determining physical properties and structural analysis of the semi-permeable membrane is highlighted. This technique makes it possible to define not only the surface of the semi-permeable membrane, but also the surface of the polarisation layer of high molecular weight substances.
Results. Based on the research results, the dependences of physical properties and structural components of the semi-permeable membrane after the processing of dairy raw materials are constructed. The results of the conducted study show that after ultrafiltration of skimmed dairy raw materials, the pore sizes undergo significant changes.
Conclusions and discussion. An increase in the number of pores with a diameter of less than 10 nm is established. The spectrum of the radii of microcapillaries shifts towards decreasing, which occurs as a result of the deposition of particles of the dispersed phase in the microcapillaries. The implementation of research results can take place in industrial conditions, in order to determine the structural and physical characteristics of different types of membranes during the concentration of liquids of different origins for the development of new modifications of filter elements. The conditions for the industrial use of the obtained results are the resolution of issues relating to the laboratory studies of structural and physical characteristics with production results.
ІНТЕГРОВАНІ МОБІЛЬНІ ДОДАТКИ В АВТОМАТИЗАЦІЇ HR-ПРОЦЕСІВ
Authors: КОБЕЦЬ Дмитро
Published: June 2024

У статті розглядається актуальна проблема використання інтегрованих мобільних додатків для автоматизації HR-процесів на сучасних підприємствах. Автор наголошує на важливості автоматизації роботи з персоналом в епоху стрімкого розвитку інформаційних технологій та зростання масивів даних, що потребують ефективної обробки. Проводиться ґрунтовний аналіз наукових праць, які висвітлюють переваги диджиталізації HR-процесів, зокрема автоматизацію рекрутингу, добору, навчання, адаптації, оцінювання та розвитку персоналу за допомогою цифрових технологій. Метою дослідження є всебічний аналіз особливостей застосування мобільних додатків для автоматизації різноманітних HR-функцій. Методологія роботи ґрунтується на критичному огляді наукової літератури з відповідної тематики, детальному вивченні кейсів успішного впровадження мобільних HR-додатків у провідних компаніях світу та узагальненні практичного досвіду використання таких додатків на вітчизняних підприємствах. Автор ретельно розглядає великий спектр інтегрованих мобільних додатків, які активно застосовуються для онлайн-рекрутингу, управління робочим часом співробітників, організації ефективних комунікацій в колективі, адаптації нових працівників, навчання та розвитку персоналу, планування кар'єрного зростання, оцінювання продуктивності праці тощо. Наводяться чисельні приклади вдалого впровадження HR-додатків у діяльність таких відомих компаній, як Uber, KFC, Делойт та інших. Вагомими результатами дослідження є комплексна класифікація різновидів мобільних додатків для автоматизації HR-процесів, чітке виокремлення ключових напрямів їх використання, визначення основних умов ефективного впровадження, а також обґрунтовані пропозиції щодо оптимізації застосування HR-додатків на підприємствах. Автор доходить переконливого висновку, що мобільні HR-додатки є потужним інструментом модернізації процесів управління персоналом шляхом автоматизації рутинних операцій, що суттєво підвищує загальну ефективність HR-менеджменту в компаніях. Стаття становить значний інтерес для широкого кола фахівців - HR-менеджерів, керівників компаній різних галузей, консультантів у сфері управління персоналом, а також науковців і дослідників, які займаються вивченням проблематики диджиталізації та автоматизації HR-процесів із застосуванням новітніх мобільних технологій.
Media Pembelajaran Matematika Menggunakan Smart Apps Creator pada Materi Bilangan Bulat di Sekolah Dasar
Authors: Arnandi Fikri , Siregar Nurfadilah , Fitriawan Dona
Published: June 2024

Pengembangan media pembelajaran berbasis android menggunakan Smart Apps Creator bertujuan untuk membantu efektivitas dan efisiensi dalam proses belajar mengajar untuk mencapai tujuan dari pembelajaran yang ada. Metode yang digunakan dalam penelitian ini adalah pengembangan model ADDIE yaitu; melakukan analisis kinerja dan analisis kebutuhan; merancang media pembelajaran; mengembangkan dan mengreasikan materi media pembelajaran; implementasi hasil pengembangan melihat respons kepada siswa sekolah dasar kelas 6; dan evaluasi dengan melakukan uji kelayakan media pembelajaran melalui expert judgment tiga orang validator ahli media. Respons siswa diperoleh melalui angket respons terkait pengembangan media Smart Apps Creator pada materi bilangan bulat sekolah dasar dengan hasil sangat positif. Berdasarkan uji kelayakan media pembelajaran, diperoleh rata-rata persentase kelayakan dengan interpretasi yang baik. Dengan demikian, media pembelajaran berbasis android menggunakan Smart Apps Creator sangat layak digunakan sebagai salah satu alternatif dalam pembelajaran materi bilangan bulat di sekolah dasar.
The development of android-based learning media using Smart Apps Creator aims to help effectiveness and efficiency in the teaching and learning process achieve existing learning goals. The method used in this research is the development of the ADDIE model, which consists of performance analysis, designing learning media, developing, and creating learning media materials, the implementation of the development results saw the responses to the 6th-grade elementary school students; and evaluation by conducting a feasibility test of learning media through an expert judgment of three media expert validators. Student responses are obtained through related response questionnaires about the development of elementary school integers subject related to very positive results. That’s because of learning medium like this is a new and fun thing that can attract students’ interest. Based on the feasibility test of this learning media, the average percentage of eligibility was obtained with good interpretation. Thus, android-based learning media using Smart Apps Creator is very feasible to use as one of the alternatives in learning integer subjects in elementary school.
Lembar Kerja Peserta Didik Berbasis Realistic Mathematics Education pada Materi Teorema Pythagoras
Authors: Fitri Juraima , Fitri Dewi Yuliana , Jufri Lucky Heriyanti
Published: June 2024

Bahan ajar yang tersedia belum mampu membuat siswa untuk berpikir aktif, terutama pada materi Teorema Pythagoras. Tujuan penelitian adalah untuk menghasilkan LKPD berbasis Realistic Mathematic Education (RME) yang valid dan praktis. Jenis penelitian yang digunakan adalah penelitian Research and Development dengan mengacu pada model pengembangan Plomp. Instrumen yang digunakan yaitu lembar validasi, lembar angket praktikalitas, dan pedoman wawancara. Uji kepraktisan melibatkan 6 orang siswa kelas VIII di salah satu SMP di Padang. Berdasarkan hasil penilaian validator diperoleh persentase penilaian akhir kevalidan 85% (sangat valid). Nilai akhir uji coba kepraktisan dengan guru dan siswa diperoleh persentase 88,1% (sangat praktis). Disimpulkan bahwa LKPD berbasis Realistic Mathematics Education pada materi Teorema Pythagoras sudah layak digunakan.
The available teaching materials have not been able to make students think actively, especially in the Pythagorean Theorem material. The research aims to produce a valid and practical Realistic Mathematics Education (RME)-based LKPD. The type of research used is Research and Development research concerning the Plomp development model. The instruments used were validation sheets, practicality questionnaires, and interview guidelines. The practical test involved 6 grade VIII students of one of the SMP in Padang. Based on the results of the validator's assessment, the percentage of the final validity assessment was 85% (very valid). The final value of practicality trials with teachers and students obtained a percentage of 88.1% (very practical). It was concluded that the LKPD based on Realistic Mathematics Education on the Pythagorean Theorem material was appropriate to use.
Aplikasi Geogebra Classic terhadap Pemahaman Konsep Matematika Siswa pada Materi Transformasi Geometri
Authors: Afhami Arief Hidayatulloh
Published: June 2024

Media pembelajaran diperlukan untuk meningkatkan kemampuan pemahaman konsep matematika siswa di Indonesia yang rendah. Media yang dianggap efektif diantaranya yaitu aplikasi Geogebra Classic. Penelitian ini dilakukan untuk mengetahui pengaruh penggunaan aplikasi GeoGebra Classic dalam pembelajaran terhadap pemahaman konsep matematika siswa pada materi transformasi geometri. Penelitian menggunakan pendekatan kuantitatif jenis quasi eksperimental desain The One-Group Pretest-Posttest Control Design. Instrumen berbentuk tes kemampuan pemahaman konsep matematika. Populasi penelitian yaitu siswa kelas XI salah satu SMAN di Trenggalek dengan sampel 31 siswa kelas XI MIPA 2. Teknik analisis data menggunakan uji paired sample t test berbantuan SPSS 26.0 for windows. Hasil penelitian menunjukkan terdapat pengaruh penggunaan aplikasi GeoGebra Classic dalam pembelajaran terhadap pemahaman konsep matematika siswa pada materi transformasi geometri. Pengaruh tersebut berefek kuat dengan persentase 97,7%. Aplikasi GeoGebra Classic dapat menjadi alternatif media terbaik untuk meningkatkan kemampuan pemahaman konsep matematika.
Learning media is needed to improve students' ability to understand mathematical concepts in Indonesia, which is low. One of the media that is considered effective is the Geogebra Classic application. This research was conducted to determine the effect of using the GeoGebra Classic application in learning on students' understanding of mathematical concepts in geometric transformation material. The research uses a quantitative approach with the type of quasi-experimental design One-Group Pretest-Posttest Control Design. The instrument is in the form of a test of students' ability to understand mathematical concepts. The research population was students of class XI at a senior high school in Trenggalek with a sample of 31 students of class XI MIPA 2 as the experimental class. The data analysis technique used the paired sample t-test assisted by SPSS 26.0 for Windows. The results showed that there was an effect of using the GeoGebra Classic application in learning on students' understanding of mathematical concepts in geometric transformation material. This influence has a strong effect with a percentage of 97.7%. The GeoGebra Classic application can be the best alternative media to improve the ability to understand mathematical concepts.
Factors affecting repurchase intention with customer engagement as intervening variables in B2B context
Authors: Putri Negina Kencono , Wardhana Arief Wisnu
Published: June 2024

Purpose: The goal of this research is to learn more about the impact of customer satisfaction., social CRM, customer perceived value, on repurchase intention. This research is survey research on consumers of construction companies specifically in this case manufacturing companies in Indonesia.
Method: The selected population is manufacturing companies in Indonesia, with a total of 100 respondents. Simple random sampling was used to determine the respondents, while Smart PLS was used to test the hypothesis.
Video surveillance legislation in the EU and Slovenia: privacy rights, security needs, and data protection challenges
Authors: Lesjak Benjamin , Savić Mateja
Published: June 2024

This paper describes the legal framework of video surveillance in the European Union (EU), with an emphasis on the legislation of the Republic of Slovenia. We are analyzing the legal intricacies inherent in balancing privacy rights and security needs. The purpose of the paper is to examine the legislative instruments in the EU and Slovenia, especially regarding the legal basis for processing data of video surveillance. The research methodology combines qualitative analysis and legislative review and case studies from selected Slovenian Information Commissioner opinions and decisions. The findings reveal a dynamic and complex landscape, where technology often outpaces regulatory frameworks, leading to potential privacy infringements. The paper shares the idea that harmonizing legislation across the EU helps ensure the balance between security and privacy rights, with significant practical implications in the creation of standardized policies and guidelines for the operation of video surveillance systems regarding European Data Protection Board opinions. The originality of this paper lies in its selected analysis of EU legislation and its practical application in Slovenian legislation. It distinguishes itself by offering a practical view in ensuring data protection compliance and security technologies regarding video surveillance.
Sava Transformation Chronicle (C)
Authors: Filipović Nenad
Published: June 2024

This case study is part of a sequel of cases (from A to D) prepared to be used together in a course on Strategic Management (more in particular on topics related to Mergers and Acquisitions, Business Portfolio Management and Corporate Transformation). Due to the article length restrictions, parts B – D, as well as the case Teaching Note, will be published in a separate article. Please refer to the Teaching Note for more precise suggestions related to classroom use.
The impact of the innovative performance of the country on its economic development
Authors: Belanova Katarína
Published: June 2024

Innovations are a way how to improve the quality of life, support sustainable solutions, attract talent, increase competitiveness, or increase GDP. The aim of the article is to verify the dependence of GDP per capita on the innovation performance of the country by the regression and correlation analysis. The secondary data contained in the European Innovation Scoreboard 2023 (for the innovation performance) and the related EUROSTAT datasets within the EU countries (for the level of countries‵ wealth) were used. According to the results, there is a significant interdependence between innovation performance of the country and its wealth. There have not been many empirical studies realized in Slovakia yet. The author herself dealt with the evaluation of the innovation performance of the SR in her previous studies. Her motivation is to use quantitative method to analyse this issue in a more detail.
Relationship Between Excessive Daytime Sleepiness and Caudate Nucleus Volume in Patients with Subjective Cognitive Decline: A Study from the SILCODE Using the Volbrain
Authors: Feng Ziqian , Wang Jiayu , Xu Lisi , Wu Jiajing , Li Hongyi , Wang Ziqi , Duan Mingjun
Published: June 2024

Background:

Excessive daytime sleepiness (EDS) and caudate nucleus volume alterations have been linked to Alzheimer’s disease (AD), but their relationship remains unclear under the context of subjective cognitive decline (SCD).

Objective:

This study aimed to investigate the relationship between EDS and caudate nucleus volume in patients with SCD.

Methods:

The volume of entire brain was measured in 170 patients with SCD, including 37 patients with EDS and 133 non-EDS, from the Sino Longitudinal Study on Cognitive Decline (SILCODE). Participants underwent a comprehensive assessment battery, including neuropsychological and clinical evaluations, blood tests, genetic analysis for APOE ɛ4, and structural MRI scans analyzed using the fully automated segmentation tool, volBrain.

Results:

Patients with EDS had significantly increased volume in the total and left caudate nucleus compared to non-EDS. The most significant cognitive behavioral factor associated with caudate nucleus volume in the EDS was the Auditory Verbal Learning Test-recognition.

Conclusions:

These findings suggest that EDS may be associated with alterations in caudate nucleus volume, particularly in the left hemisphere, in the context of SCD. Further research is necessary to understand the underlying mechanisms of this relationship and its implications for clinical management.
Road Detection Based on Fusion of LiDAR Data and Visual Data
Authors: Yang Chaoju , Rong Jian , Chin Soon Ku
Published: June 2024

Smart transportation is a new development model for intelligent traffic based on the combination of the Internet, the Internet of Things, and other networks. Road detection is one of the foundational and core technologies in smart transportation. It provides accurate, reliable, and real-time road information for applications such as autonomous driving, intelligent traffic management, and urban planning. This contributes to the improvement of traffic safety, efficiency, and sustainability. However, relying solely on visual images for road detection still faces numerous challenges, such as changes in lighting conditions, image blurring, and occlusions. To enhance the robustness and accuracy of road detection, leveraging LiDAR (Light Detection and Ranging) data as supplementary information is considered. LiDAR data is not affected by visual noise and can offer more precise depth and height information. Nevertheless, effectively integrating and adapting to different data and feature spaces remain crucial challenges. This paper proposes an improved road detection method based on the PLARD (Progressive LiDAR Adaptation for Road Detection) network. It introduces the U-Net network as an additional branch, collaborating with the image and point cloud branches for feature fusion and road detection. The U-Net network utilizes information from the images for initial segmentation, providing a better prior, and enhances the feature fusion capability of the PLARD network, thereby improving segmentation accuracy and robustness. Experiments conducted on the KITTI Road Dataset demonstrate that the proposed method outperforms the PLARD network and other baseline methods in terms of the Dice coefficient. Particularly, it excels in complex urban scenarios and exhibits strong generalization capabilities. The introduced road detection approach, combining LiDAR and visual data, provides an efficient, robust, and versatile solution for smart transportation. It adapts to different scenarios and environments, thereby enhancing the precision and stability of road detection in smart transportation systems.
A New Method for Lightweight Extracting Traffic Parameters from Drone Videos and Experimental Verification
Authors: Zhang Xiangzhou , Shi Zhongke
Published: June 2024

In order to study the accurate extraction of vehicle traffic parameter information from drone aerial videos to improve urban traffic intelligent management and auxiliary modeling of car-following behavior. A new method for lightweight extraction of vehicle following behavior parameters from drone videos is proposed in this article. The improved ShuffleNet network and GSConv module were introduced into the Yolov7-tiny neural network model as the target detection stage. HOG features and IOU motion metrics are introduced into the DeepSort multi-object tracking algorithm as the tracking matching stage. By building a self-built UAV aerial traffic data set, experiments were conducted to prove that the new method improved a few detection and tracking indicators. In addition, it improves the false detection, missed detection, wrong ID conversion and other phenomena of the previous algorithm, and improves the accuracy and lightweight of multi-target tracking. Finally, the velocity and headway parameters extracted from the car-following behavior using the new method were compared with GPS/INS and proved that the errors were within an acceptable range. The newly proposed traffic flow parameters can be used in traffic flow modeling and simulation to improve the dynamic characteristics and safety of the car-following model, thereby alleviating traffic congestion and improving driving safety.
Low-Light Road Disease Detection Algorithm Based on YOLOv8
Authors: Yin Huiying , Kang Miaohang , Yang Liu , Ma Zheng , Liu Heng
Published: June 2024

China has an extensive road network, thus requiring daily maintenance. During the collection of road defect data sets, scenarios with low illumination or extreme lack of light may occur. In such environments, the quality of image collection can be significantly reduced due to the low visibility of the surrounding environment, leading to the absence of intricate details. These challenges can negatively impact subsequent intricate visual tasks, including object detection and defect recognition utilizing road dataset images, thereby diminishing the precision and efficiency of the recognition process. Therefore, this paper adopts the Retinex algorithm to enhance low-illumination road images and performs road defect detection on the enhanced images, significantly improving the detection accuracy. An enhanced YOLOv8 detection algorithm is introduced to boost the detection efficiency of road defects. This updated algorithm incorporates FasterNet as the feature extraction network, resulting in improved computational speed. Integrating the Deformable-LKA module in the Neck layer can enhance the detection capability for small and irregularly shaped objects. RFAConv, a combination of spatial attention mechanisms and convolution operations, is employed to enhance the detection head and amplify the model’s feature extraction capabilities.The introduced algorithm model undergoes training, validation, and testing procedures on road defect datasets, while also being evaluated against other algorithm models for comparison. The improved algorithm model can achieve accurate recognition of road defects.
A Support Vector Regression-Based Method for Stone Powder Detection in Machine-Made Sand
Authors: Shi Faken , Wang Yingying , Pei Lili , Geng Fangyuan , Xue Ying
Published: June 2024

Aiming at the problems of cumbersome steps, low accuracy and difficult to quantify in the detection method of stone powder content of machine-made sand, a quantitative stone powder detection method is proposed. Based on the image segmentation results, the stone powder attached to the sand surface and the scattered stone powder were calculated separately. Then, a support vector regression (SVM) model was used to obtain the mapping relationship between the two and the methylene blue value to quantify the total stone powder content of machine-made sand. The experimental results show that the obtained value of 0.9239 proves that there is a high correlation between the method and the methylene blue value, thus verifying the effectiveness of the method in quantifying stone powder. The stone powder detection method for machine-made sand proposed in this paper further realises the quantitative function of qualitative analysis, provides a new technical method for the quality detection process of machine-made sand, and also has important practical significance in the direction of the construction of the smart city.
A PSO Algorithmic for Data Analysis of Energy Economy Research on Carbon Emission Sustainability Detection
Authors: Ye Jianyuxi
Published: June 2024

In the field of energy economics, accurately analyzing and detecting sustainability in carbon emissions remains a pivotal challenge with profound implications for environmental policy and sustainable development. This study introduces an innovative approach by employing a Particle Swarm Optimization (PSO) algorithm to enhance the accuracy and efficiency of data analysis concerning carbon emission sustainability. By leveraging the inherent capabilities of PSO in navigating complex data landscapes, our methodology provides a nuanced understanding of emission patterns and their sustainability implications. We conducted a series of experiments using real-world energy consumption and carbon emission datasets to validate the effectiveness of our approach. The results demonstrate a significant improvement in detecting sustainable emission trends, with our PSO-based model outperforming traditional analysis methods in terms of precision and computational efficiency. Notably, the algorithm successfully identified key factors influencing emission sustainability, offering insights that could inform more targeted and effective environmental policies. This study not only showcases the potential of PSO algorithms in the realm of energy economy research but also sets a precedent for future investigations into carbon emission sustainability. The findings underscore the importance of adopting advanced computational techniques for environmental analysis, paving the way for more informed decision-making in pursuit of sustainable development.
Ex-Warehouse Prediction of Power Materials Based on LSTM and Exponential Smoothing
Authors: Nan Tian , Hu Bo
Published: June 2024

This study delves into forecasting the ex-warehouse volume of electric power materials within a State Grid’s electric power company, leveraging advanced computer algorithmic approaches. At the core of this research is the development of an innovative weighted combined model that effectively synergizes Long Short-Term Memory (LSTM) and the exponential smoothing method. Renowned for its efficiency in handling sequential data, LSTM is combined with the exponential smoothing method, known for its proficiency in capturing trends and seasonal patterns in data sets. The integration of these methodologies allows for the optimization of serial data processing capabilities of LSTM alongside the trend-forecasting accuracy of the exponential method. The result is a significant enhancement in prediction accuracy, achieved through a weighted combination approach that optimizes the model’s predictive performance. This ensures that the company is equipped with high-precision, reliable forecasts, aiding in informed decision-making and effectively addressing the complexities of electric power material demand forecasting. This tailored solution demonstrates a comprehensive understanding of both the operational needs of the company and the intricate nature of computational algorithms in forecasting tasks.
An Expression Recognition Method Based on Feature Double-Branch Fusion
Authors: Liu Xing , Wang Hui
Published: June 2024

An expression recognition method based on feature double-branch fusion is studied, which fuses the multi-layer information obtained from the feature extraction end. Due to subtle sensory differences, it is more challenging to distinguish morphological details when extracting facial expression features. Therefore, attention should be paid to using both the global information of shallow features and the detailed information of deep features. To solve this problem, this paper proposes a feature dual branch fusion learning network with branches and constraints: Firstly, the hole convolution is introduced into the primary network while capturing long-distance context feature information, and multi-scale context feature extraction is performed on the neural network; Secondly, a new dual-channel splicing feature fusion module was designed, which utilizes multiple parallel fusion operations of deep and shallow features to avoid accidental errors caused by the uncertainty of convolutional neural network single-channel classification and improved the accuracy of dual branch input network fusion; Finally, to further improve the effectiveness, the cubic full connection and classifier are packaged to enhance the consistency of feature maps and categories and improve the generalization of the model. The final experimental results indicate that high expression recognition accuracy can be achieved on three datasets: RAF-DB, JAFFE, and Oulu-CASIA. Its research also provides new ideas for traffic safety management and prevention.
Expanding a love and sex narrative generation mechanism using a coloring technique and conceptual dictionaries
Authors: Ono Jumpei , Ogata Takashi
Published: June 2024

Love and sexuality are important themes in the generation of narratives, which is our research objective. In the development of tools to generate narratives, we consider robot-related technology that tells stories as an application of narrative generation. The purpose of this paper is to present prototyping systems that generate narrative expression based on the concepts of love, sex, and sexuality using a technique for narrative generation called “coloring.” The coloring technique in narrative generation is a group of methods through which a certain atmosphere is given to a story by interspersing words and language representations. Although there are various concrete methods in the coloring technique as one of several general narrative generation techniques, this paper proposes three methods related to love, sex, and sexuality: the use of noun, adjective, and adjective-verb conceptual dictionaries. We conducted several experiments using these coloring methods. Additionally, for system implementation, we utilized a narrative generation framework called “story techniques included in a story,” which was developed based on our concept of the automatic narrative generation game, s-expression in the Lisp programming language, and Minsky’s frame theory. In the future, these prototypes will serve as stepping stones for a system that generates narratives based on specific themes.
Citicoline: A Cholinergic Precursor with a Pivotal Role in Dementia and Alzheimer’s Disease
Authors: Gareri Pietro , Cotroneo Antonino Maria , Montella Roberta , Gaglianone Matteo , Putignano Salvatore
Published: June 2024

Background: Citicoline is a naturally occurring compound with pleiotropic effects on neuronal function and cognitive processes. Objective: Based on previous studies, which shed light on the positive effects of citicoline 1 g when combined with acetylcholinesterase inhibitors (AChEIs) and/or memantine, we further investigated the benefits of citicoline in combination therapy in Alzheimer’s disease and mixed dementia. Methods: We integrated the datasets of CITIMEM and CITIDEMAGE, increasing the overall sample size to enhance statistical power. We analyzed data from these two investigator-initiated studies involving 295 patients. The primary outcome was the assessment over time of the effects of combined treatment versus memantine given alone or AChEI plus memantine on cognitive functions assessed by Mini-Mental State Examination (MMSE). The secondary outcomes were the influence of combined treatment on daily life functions, mood, and behavioral symptoms assessed by activities of daily life (ADL) and instrumental ADL, Geriatric Depression Scale, and Neuropsychiatric Inventory Scale. One-hundred-forty-three patients were treated with memantine and/or AChEI (control group), and 152 patients were treated with memantine and/or AChEI plus citicoline 1 g/day orally (Citicoline group). Results: A significant difference in MMSE score was found in the average between the two groups of treatment at 6 and 12 months. Conclusions: This study confirmed the effectiveness of combined citicoline treatment in patients with mixed dementia and Alzheimer’s disease, with a significant effect on the increase of MMSE score over time. The treated group also showed a significant reduction in the Geriatric Depression Scale and a significant increase in the instrumental ADL scale.