bluuebunny/crossref_metadata_2025 huggingface dataset:
Continuity in the school study of literature: Comparative-historical aspect
Authors:   Moscow Pedagogical State University, Chertov V.F. , Trubina L.A. , Getmanskaya E.V.
Published: June 2024

The article presents an analysis of the problem of continuity in the school study of literature, carried out on the basis of the comparative-historical method in pedagogy, theory and teaching methods, and generalization of the experience of the national school. The authors consider continuity in the broadest interpretation of this concept: as a connection between various stages or stages of development of domestic literary education and as the establishment of necessary connections between parts of an academic subject at different stages of its study: from elementary school to high school. The article concludes that one of the most important conditions for the effectiveness of teaching and the implementation of the tasks of continuous literary education and the spiritual and moral development of schoolchildren is taking into account the reading (viewing, life) experience of students, including the experience of perception, analysis and interpretation of literary works received at previous stages of training (retrospective aspect) and reference (episodic mention, quotation, comparison) to literary works, especially to precedent texts of domestic literature, which will be studied at subsequent stages of training or may become part of the reading (perspective aspect). The implementation of the principle of continuity is shown by the example of studying the works of A.S. Pushkin at different levels of education.
Improving master students’ professional competences in learning a foreign language through scenario approach
Authors:   Plekhanov Russian University of Economics, Chekun O.A.
Published: June 2024

One of the current trends in modern higher education is preparing thoughtful students, providing them with conceptual foundations and practical skills. These skills should be implemented during the learning process and contribute to the formation of the necessary professional competencies. Teachers are faced with the problem of using modern approaches, methods and techniques both practice-oriented and professionally oriented. The article aims to explore the scenario approach to teaching a foreign language to master students of universities for Economics and to determine the specifics of the scenarios necessary for the formation of professional competencies among master students. The analysis of theoretical studies made it possible to determine the structures of scenarios and professional competencies. To develop master students’ professional skills successfully, a step-by-step technology has been designed. The principles of master students’ training include the principle of professionalization, the principle of problem-based learning, and the principle of communicative-activity orientation.
HUBUNGAN PERHATIAN ORANG TUA DENGAN MOTIVASI BELAJAR DAN KESIAPAN BELAJAR SISWA KELAS V SDN 2 SURABAYA KEC. LIMBANGAN KAB. GARUT
Authors: Hakim Abdul , Indriyanti Karmila
Published: June 2024

Penelitian ini menggunakan metode korelasional untuk mengetahui hubungan perhatian orang tua dengan motivasi belajar dan kesiapan belajar siswa kelas V di SDN 2 Surabaya. Berdasarkan hasil penelitian menunjukan bahwa : (1) terdapat hubungan antara perhatian orang tua dengan motivasi belajar siswa dengan nilai signifikansi untuk pengaruh perhatian orang tua terhadap motivasi adalah 0.013 < 0.05 dan untuk nilai thitung adalah  2.681 > 2.055, (2) terdapat hubungan anatara perhatian orang tua dengan kesiapan belajar siswa, hal ini dibuktikan dengan nilai signifikansi untuk pengaruh perhatian orang tua terhadap kesiapan belajar adalah 0.000 < 0.05 dan untuk nilai t hitung adalah 4.684 > 2.055, (3) perhatian orang tua memiliki pengaruh terhadap motivasi belajar dan kesiapan belajar siswa dengan melihat presentase sebesar 22.3% perhatian orang tua memberikan pengaruh terhadap motivasi belajar siswa. Sedangkan sebesar 46,78% perhatian orang tua memberikan pengaruh terhadap kesiapan belajar siswa kelas V di SDN 2 Surabaya
PENGARUH MEDIA KARTU GAMBAR TERHADAP KETERAMPILAN BERBICARA SISWA KELAS V SEKOLAH DASAR
Authors: Pujiasti Dea Asri , Widyaningsih Yennie Indriyanti , Rahmayanti Mutiara
Published: June 2024

Fokus dalam penelitian ini yakni berusaha untuk memaparkan pengaruh penggunaan media kartu gambar terhadap keterampilan berbicara siswa kelas 5 sekolah dasar.. Penelitian ini menggunakan pendekatan kuantitatif dengan metode penelitan eksperimen dengan desain penelitian yaitu pra eksperimen one group pretest-posttest, dimana partisipannya adalah siswa kelas 5 sekolah dasar. Teknik pengumpulan data berupa tes unjuk kerja, observasi dan dokumentasi. Hasil penelitian menunjukkan bahwa adanya pengaruh penggunaan media kartu gambar terhadap keterampilan berbicara siswa. Hal ini dapat dilihat dari hasil skor rata-rata pretest yaitu 70,70 dan hasil skor rata-rata posttest yaitu 79,82. Dengan sig (2 tailed) = 2,037 dan p = 0,05 , t hitung > t tabel = (12,2073) > (2,037). Adapun skor gain siswa dari pretest ke posttest adalah sedang dengan skor rata-rata 0,31.
Mathematical Representation Ability of Junior High School Students: A Case Study of Students’ Cognitive Ability through Realistic Mathematics Education
Authors: Sari Intan Kemala , Nasriadi Ahmad , Amalia Yuli , Musfiya  , Setiawati Farida Agus
Published: June 2024

Kemampuan representasi matematis sangat penting untuk dimiliki dan dikembangkan. Penelitian ini bertujuan untuk menganalisis kemampuan representasi matematis siswa, serta bentuk representasi matematis yang muncul. Penelitian ini menggunakan studi kasus terhadap empat siswa SMP Kelas VII dengan kemampuan sedang, yang dilaksanakan dalam pembelajaran Mengenal Bentuk Aljabar. Penelitian dilaksanakan pada semester ganjil pada tahun ajaran 2022/2023 sebanyak tiga kali pertemuan. Adapun teknik pengumpulan data yang dilakukan yaitu angket, wawancara, dan lembar analisis pemecahan masalah. Hasil penelitian menunjukkan bahwa siswa kelas VII merupakan siswa tahap abstraksi awal sehingga kemampuan representasi matematis belum banyak muncul dan berkembang dengan baik. Adapun bentuk representasi yang muncul yaitu representasi simbolik dengan tipe rendah dimana masih terdapat Gap antara berpikir konkrit dengan kemampuan abstraksi awal. Beberapa hal yang mempengaruhi munculnya kemampuan representasi adalah motivasi yang tinggi dalam memecahkan masalah, metode belajar yang disajikan, dan kemampuan siswa dalam belajar matematika.
Mathematical representation ability is very important to develop. This study aimed to analyze students' mathematical representation abilities, as well as the forms of mathematical representations that appear. This study used case studies of four Grade VII junior high school students with moderate abilities, which were carried out in Recognizing Algebraic Shapes. The research was carried out in the odd semester of the 2022/2023 academic year in three meetings. The data collection techniques utilized questionnaires, interviews, and problem-solving analysis sheets. The results showed that class VII students were students at the early abstraction stage, so their mathematical representation abilities had not emerged and developed well. The form of representation that appears was symbolic representation with a low type where there was still a gap between concrete thinking and initial abstraction abilities. Some of the things that influenced the emergence of representational abilities were high motivation in solving problems, the learning methods presented, and students' abilities in learning mathematics.
The Effect of Gender on Fifth-Grade Students’ Computational Thinking Skills
Authors: Gunawan Yahya , Putra Zetra Hainul , Antosa Zariul , Dahnilsyah  , Tjoe Hartono
Published: June 2024

Computational thinking (CT) merupakan topik baru yang muncul dalam penelitian pendidikan matematika. Isu gender telah mendapat perhatian ilmiah untuk diselidiki di antara banyak faktor yang mempengaruhi CT siswa. Oleh karena itu, penelitian ini berusaha untuk mengeksplorasi pengaruh gender pada keterampilan CT siswa kelas lima sekolah dasar. Penelitian ini menggunakan penelitian kuantitatif dengan metode komparatif. Subjek penelitian ini adalah 120 siswa kelas V di Pekanbaru, Riau, Indonesia. Analisis data menggunakan uji parametrik untuk membandingkan keterampilan CT siswa secara umum dan tes non parametrik untuk membandingkan keterampilan CT siswa dalam empat kompetensi yaitu dekomposisi, berpikir algoritmik, pengenalan pola, dan abstraksi. Hasil temuan menunjukkan bahwa siswa memiliki kemampuan berpikir komputasi yang rendah dan tidak ada perbedaan kemampuan berpikir komputasi yang signifikan antara siswa laki-laki dan perempuan pada umumnya. Namun, pengenalan pola siswa laki-laki secara signifikan lebih tinggi daripada siswa perempuan. Ini menyiratkan bahwa pembuat kebijakan perlu mempertimbangkan CT sebagai bagian dari kurikulum matematika di sekolah dasar.
Computational thinking (CT) has become an emerging topic in mathematics education research. The gender issue has gained scholarly attention to be investigated among many factors affecting students' CT. Therefore, the present study seeks to explore the effect of gender on fifth-grade students' CT skills. This study applied quantitative research using the comparative method. The subjects were 120 fifth-grade students in Pekanbaru, Riau, Indonesia. Data analysis used the parametric test to compare students’ CT skills in general and the non-parametric test to compare students' CT skills in four competencies, decomposition, algorithmic thinking, pattern recognition, and abstraction. The findings indicate that students have low CT skills and no significant differences in CT skills between male and female students. However, male students' pattern recognition is significantly higher than female students. This implies that policymakers need to consider CT as part of the mathematics curriculum in primary schools.
An Analysis of Frieze Patterns, Crystallographic Patterns, and Philosophical Values on Subahnale Woven Motifs Sukarare Village
Authors: Fauzi Lalu Muhammad , Ahyan Shahibul , Supiyati Sri , Hayati Nila , Satriawan Rody
Published: June 2024

Budaya dengan keberagaman dan keunikan adat istiadat, kesenian dan kerajinannya, memberikan identitas bagi suatu daerah. Keunikan-keunikan budaya ini dapat dikaji untuk dijadikan sebagai bagian dari sumber belajar. Etnomatematika merupakan jembatan untuk mengeksplorasi matematika yang berkembang di masyarakat. Dengan demikian penelitian ini berupaya untuk menganalisis pola frieze, pola kristalografi dan nilai-nilai filosofis yang terdapat pada motif kain tenun subahnale Desa Sukarare. Metode yang digunakan dalam Penelitian ini adalah metode etnografi. Data penelitian dikumpulkan melalui observasi, studi pustaka, dan wawancara dengan praktisi budaya, tokoh adat, pengerajin kain tenun dan budayawan. Hasil penelitian menunjukkan bahwa motif (reragian) kain tenun subahnale terbentuk dengan perpaduan bentuk-bentuk geometri yakni garis, segi tiga, segi empat dan segi enam. Bentuk geometri tersebut tersusun menggunakan model matematika yakni translasi, rotasi da refleksi. Adapun pola-pola yang terbentuk berupa 4 buah pola frieze yaitu pola 3, 4 ,6 dan 7. Selain itu terdapat juga pola Kristalografi yaitu pola p1, pm, dan p4m.
Culture, with its diversity and unique customs, arts, and crafts, provides an identity for a region. This cultural uniqueness can be studied as part of learning resources. Ethnomathematics is a bridge to exploring mathematics that develops in society. Thus, this study seeks to analyze the frieze patterns, crystallographic patterns, and philosophical values in the subahnale woven fabric motifs in Sukarare Village. The method used in this research is the ethnographic method. Research data were collected through observation, literature study, and interviews with cultural practitioners, traditional leaders, woven cloth artisans, and humanists. The results showed that the motif (reragian) of the subahnale woven fabric was formed by a combination of geometric shapes: lines, triangles, rectangles, and hexagons. The geometric shapes are arranged using a mathematical model: translation, rotation, and reflection. The patterns formed are 4 frieze patterns, namely patterns 3, 4, 6, and 7. In addition, there are also crystallographic patterns, namely patterns p1, pm, and p4m.
Ethnomathematics: Exploration of Geometry from Karang Bayan Ancient Mosque in Elementary School Mathematics Learning
Authors: Aini Gina Mawaddatul , Hastuti Intan Dwi , Mariyati Yuni
Published: June 2024

Penelitian ini dilakukan dengan tujuan untuk mengeksplorasi filosofis mengenai bangunan serta mengungkap etnomatematika konsep geometri pada Masjid Kuno Karang Bayan, Nusa Tenggara Barat. Penelitian ini menggunakan pendekatan kualitatif dengan rancangan penelitian etnografi yang akan menjelaskan salah satu bangunaan bersejarah islam di Lombok dengan teknik pengumpulan data observasi dan wawancara secara mendalam. Subjek penelitian yaitu dua narasumber yang merupakan penghulu desa dan juru kunci/pemelihara masjid yang paham terhadap aspek sejarah filosofi serta stuktur pada bangunan masjid kuno. Hasil penelitian menunjukkan bahwa terdapat makna filosofi dan unsur-unsur matematika berupa bangun datar dan bangun ruang pada bagian-bagian masjid. Konsep geometri yang ditemukan pada arsitektur Masjid Kuno Karang Bayan antara lain: konsep bangun ruang prisma pada atap masjid, konsep balok ditemukan pada bagian lampen jejait masjid dan bagian tunjeng atap masjid, konsep persegi panjang ditemukan pada pintu masjid.
This study was carried out to uncover the geometric concepts used in an old mosque in Karang Bayan, West Nusa Tenggara, and to explore philosophical ideas about architecture. This qualitative study discussed one of the old Islamic structures in Lombok using an ethnographic research design. Data collecting strategies were observation and in-depth interviews. The research topic involved two resources: the village chiefs and mosque keepers/maintainers who were knowledgeable about the philosophical and architectural history of the mosque. Findings demonstrated the presence of philophosis and mathematical features in the mosque's structural components as flat shapes and building spaces. The Geometry Concepts found in the architecture of the ancient Mosque of Karang Bayan included: 1) Prismal Concepts on the Roof of the Mosque; 2) the concept of the beam was found by the mosque lampen and the mosque roof section; 3) The rectangular concept was found at the mosque door.
Developing Android-Based Counting Game as Learning Media to Train Students' Creative Thinking
Authors: Ranila Rahayu , Yunianta Tri Nova Hasti , Prihatnani Erlina
Published: June 2024

Media pembelajaran adalah suatu alat yang bisa membantu proses belajar mengajar, dan sekaligus memiliki fungsi  memperjelas makna yang disampaikan dalam sebuah proses pembelajaran, sehingga tercapai tujuan pembelajaran. Media pembelajaran hendaknya mengikuti arus perkembangan teknologi. Salah satu pengembangan media berbasis teknologi  ialah game edukasi. Penelitian ini bertujuan untuk mengembangkan media pembelajaran game Titungan berbasis android. Pengembangan Media pembelajaran ini menggunakan metode RnD (Research and Development) dengan model pengembangan yang digunakan adalah model pengembangan ADDIE (analyze, design, development, implementation and evaluation). Instrumen yang digunakan terdiri dari lembar validasi media, lembar kepraktisan, pretest, posttest, dan lembar respon siswa terhadap media. Subjek Penelitian ini ialah Siswa Sekolah Menengah Pertama. Media ini telah diujicobakan terhadap 27 siswa kelas VII SMP Pangudi Luhur Ambarawa. Media game Titungan berbasis android telah dinyatakan valid oleh pakar media. Hasil uji kepraktisan mendapat persentase sebesar 91,67% yang termasuk dalam kategori sangat baik. Uji paired t-test dengan taraf signikan 5% menghasilkan signifikan mendekati nol dengan rata-rata posttest lebih tinggi daripada pretest. Berdasarkan ketiga uji tersebut, dapat disimpulkan media ini valid, praktis, dan efektif.
Learning media is a tool that can help the teaching and learning process, and at the same time has the function of clarifying the meaning conveyed in the learning process, so that learning objectives are achieved. Learning media must follow the flow of technological developments. One of the technology-based media developments is educational games. This study aims to develop learning media for Android-based Titungan games. The development model used in this study is the ADDIE model. The instruments used consisted of media validation sheets, practicality sheets, pretest, posttest, and student response sheets to the media. This media has been tested on 27 grade VII students of SMP Pangudi Luhur Ambarawa. The Android-based Titungan game media has been declared valid by media experts. The practicality test results got a percentage of 91.67% which was included in the very good category. The paired t-test with a significant level of 5% produces a significant close to zero with a higher posttest average than the pretest. Based on these three tests, it can be concluded that this media is valid, practical, and effective.
Buna Woven Fabric Based Teaching Materials: ADDIE Model
Authors: Lakapu Meryani , Uskono Irmina Veronika , Gawa Maria Gracia Manoe , Kaluge Agapitus Hendrikus
Published: June 2024

Bahan ajar merupakan salah satu alat yang dapat membantu guru dan siswa mempelajari sesuatu. Tujuan dari penelitian ini adalah untuk mengembangkan bahan ajar berbasis budaya lokal yang berkualitas baik. Bahan ajar berbasis budaya lokal yang dikembangkan berfokus pada materi bangun datar untuk mahasiswa Pendidikan Guru Sekolah Dasar. Kualitas bahan ajar ini diukur menggunakan beberapa instrumen, antara lain: (1) lembar validasi untuk mengumpulkan data kevalidan, (2) lembar observasi aktivitas dosen dan mahasiswa untuk mengumpulkan data kepraktisan, dan (3) soal pretest dan posttest digunakan untuk mengumpulkan data keefektifan hasil belajar mahasiswa. Simpulan dari penelitian ini adalah bahan ajar berbasis budaya lokal yang dihasilkan berkualitas baik karena memenuhi kriteria valid, praktis dan efektif. Kelebihan dari bahan ajar ini adalah mudah dipahami karena memuat unsur budaya berupa kain tenun, memanfaatkan aplikasi geogebra dalam pengembangannya serta dikembangkan sesuai dengan kebutuhan pelajar.
Teaching materials are one of the tools that can help teachers and students learn something. This research aims to develop good quality local culture-based teaching materials. The local culture-based teaching materials developed a focus on flat building materials for Elementary School Teacher Education students. The quality of these teaching materials is measured using several instruments, including (1) validation sheets to collect validity data, (2) observation sheets of lecturer and student activities to collect practical data, and (3) pretest and posttest questions used to collect data on the effectiveness of student learning outcomes. This study concludes that the local culture-based teaching materials produced are of good quality because they meet the valid, practical, and effective criteria. The advantage of this teaching material is that it is easy to understand because it contains cultural elements in the form of woven fabrics, utilizes geogebra applications in its development, and is developed according to student needs.
Comparing assessment methods of low back pain related disability in student circus artists: A cross-sectional study
Authors: Rossini Bianca , Anstruther Meagan , Fortin Maryse
Published: June 2024

BACKGROUND: Student circus artists put constant stress on their back. However, the presence of low back pain (LBP) and related disability in this population remains unclear. OBJECTIVES: To 1) examine LBP history in circus artists and compare related disability scores using the Oswestry Disability Index (ODI) and the Athlete Disability Index (ADI), and 2) examine the correlation between LBP-related disability scores, pain intensity and pain catastrophizing. METHODS: Thirty-three circus students completed an online survey on demographics, training history, and LBP. Participants reporting LBP filled the ODI, ADI, numerical pain rating scale (NPRS), and Pain Catastrophizing Scale (PCS). Descriptive statistics and Pearson’s correlation coefficients were used to assess the correlations between the ODI, ADI, NPRS, and PCS. RESULTS: There was a significant positive correlation between the ODI and ADI (r= 0.77, p< 0.001) and between the NPRS and ADI (r= 0.52, p= 0.03), but no correlation between NPRS and ODI. While the PCS scores were significantly correlated with the NPRS ((r= 0.71; p< 0.001) and the ADI (r= 0.51; p= 0.032), no correlation was observed between the PCS and ODI scores (p= 0.088). Based on the ODI scores, 94.44% of the artists reporting LBP were classified with mild disability, 5.56% moderate, and 0% severe disability as compared to 66.67%, 27.78% and 5.55% with the ADI, respectively. CONCLUSION: Our study highlights the potential of the ADI as an effective tool for assessing LBP-related disability in circus artists, supported by a strong correlation with the NPRS.
Alzheimer’s disease (AD) classification using MRI: A deep ensemble model with modified local pattern feature set
Authors: RS Rajasree , Pede Shailaja V. , Kharat Reena , S Pooja Sharma , GS Gopika , Bansode Suyoga
Published: June 2024

The Alzheimer disease (AD) is a neurologic brain condition, which affects the cells in the brain and eventually renders a patient incapable of performing routine daily tasks. Due to the outstanding spatial clarity, high access, and strong contrast, MRI has been utilized in analyses pertaining to AD. This work develops an AD classification model using MRI images. Here, preprocessing is done by the Gabor filter. Subsequently, the Improved U-net segmentation model is employed for image segmentation. The features extracted comprises of modified LGXP features, LTP features, and LBP features as well. Finally, the Deep ensemble classifier (DEC) model is proposed for AD classification which combines classifiers such as RNN, DBN, and Deep Maxout Network (DMN). For enhancing the efficiency for classification of AD, the optimal weight of DMN is adjusted using the Self Customized BWO (SC-BWO) model. The outputs from DEC are averaged and the final result is obtained. Finally, the analysis of dice, Jaccard scores is performed to show the betterment of the SC-BWO scheme.
Symptomatic Clusters Related to Amyloid Positivity in Cognitively Unimpaired Individuals
Authors: Sannemann Lena ,   for the DELCODE Study Group, Bartels Claudia , Brosseron Frederic , Buerger Katharina , Fliessbach Klaus , Freiesleben Silka Dawn , Frommann Ingo , Glanz Wenzel , Heneka Michael T. , Janowitz Daniel , Kilimann Ingo , Kleineidam Luca , Lammerding Dominik , Laske Christoph , Munk Matthias H.J. , Perneczky Robert , Peters Oliver , Priller Josef , Rauchmann Boris-Stephan , Rostamzadeh Ayda , Roy-Kluth Nina , Schild Ann-Katrin , Schneider Anja , Schneider Luisa-Sophie , Spottke Annika , Spruth Eike Jakob , Teipel Stefan , Wagner Michael , Wiltfang Jens , Wolfsgruber Steffen , Duezel Emrah , Jessen Frank
Published: June 2024

Background: The NIA-AA Research Framework on Alzheimer’s disease (AD) proposes a transitional stage (stage 2) characterized by subtle cognitive decline, subjective cognitive decline (SCD) and mild neurobehavioral symptoms (NPS). Objective: To identify participant clusters based on stage 2 features and assess their association with amyloid positivity in cognitively unimpaired individuals. Methods: We included baseline data of N = 338 cognitively unimpaired participants from the DELCODE cohort with data on cerebrospinal fluid biomarkers for AD. Classification into the AD continuum (i.e., amyloid positivity, A+) was based on Aβ42/40 status. Neuropsychological test data were used to assess subtle objective cognitive dysfunction (OBJ), the subjective cognitive decline interview (SCD-I) was used to detect SCD, and the Neuropsychiatric Inventory Questionnaire (NPI-Q) was used to assess NPS. A two-step cluster analysis was carried out and differences in AD biomarkers between clusters were analyzed. Results: We identified three distinct participant clusters based on presented symptoms. The highest rate of A+ participants (47.6%) was found in a cluster characterized by both OBJ and SCD. A cluster of participants that presented with SCD and NPS (A+:26.6%) and a cluster of participants with overall few symptoms (A+:19.7%) showed amyloid positivity in a range that was not higher than the expected A+ rate for the age group. Across the full sample, participants with a combination of SCD and OBJ in the memory domain showed a lower Aβ42/ptau181 ratio compared to those with neither SCD nor OBJ. Conclusions: The cluster characterized by participants with OBJ and concomitant SCD was enriched for amyloid pathology.
Plasma Insulin Predicts Early Amyloid-β Pathology Changes in Alzheimer’s Disease
Authors: Chen Yu-Han ,   for the Alzheimer’s Disease Neuroimaging Initiative, Wang Zhi-Bo , Liu Xi-Peng , Mao Zhi-Qi
Published: June 2024

Background: Evidence suggests that type 2 diabetes (T2D) is an independent risk factor for Alzheimer’s disease (AD), sharing similar pathophysiological traits like impaired insulin signaling. Objective: To test the association between plasma insulin and cerebrospinal fluid (CSF) AD pathology. Methods: A total of 304 participants were included in the Alzheimer’s Disease Neuroimaging Initiative, assessing plasma insulin and CSF AD pathology. We explored the cross-sectional and longitudinal associations between plasma insulin and AD pathology and compared their associations across different AD clinical and pathological stages. Results: In the non-demented group, amyloid-β (Aβ)+ participants (e.g., as reflected by CSF Aβ42) exhibited significantly lower plasma insulin levels compared to non-demented Aβ–participants (p < 0.001). This reduction in plasma insulin was more evident in the A+T+ group (as shown by CSF Aβ42 and pTau181 levels) when compared to the A–T– group within the non-dementia group (p = 0.002). Additionally, higher plasma insulin levels were consistently associated with more normal CSF Aβ42 levels (p < 0.001) across all participants. This association was particularly significant in the Aβ–group (p = 0.002) and among non-demented individuals (p < 0.001). Notably, baseline plasma insulin was significantly correlated with longitudinal changes in CSF Aβ42 (p = 0.006), whereas baseline CSF Aβ42 did not show a similar correlation with changes in plasma insulin over time. Conclusions: These findings suggest an association between plasma insulin and early Aβ pathology in the early stages of AD, indicating that plasma insulin may be a potential predictor of changes in early Aβ pathology.
Design and test of capacitive power transfer coupling for wound field synchronous machines
Authors: Hamidouche Rayane , Mezani Smail , Lubin Thierry , Hamiti Tahar
Published: June 2024

This paper deals with the design and test of a contactless capacitive power converter operating at a frequency of 1 MHz, intended to supply the excitation winding of an 80 kW wound rotor synchronous machine. The methodology integrates the electromagnetic design of the rotor and its impact on the different parameters of the converter. To verify the validity of the concept, a first prototype was built by using surface-mounted capacitors grounded on the structure of a 1 MHz Class E resonant power converter. Then, a more representative capacitive contactless coupler was designed and implemented. Comparisons between simulation and experimental results have shown the limits of the proposed contactless power transmission. Special attention was paid on losses and efficiency which are crucial for this application.
Using vertical farming systems for propagating everbearing strawberry: Physiological and technological feasibility assessment
Authors: Lorch-Schierning Elizabeth , Perera Anya , Baghalian Kambiz
Published: June 2024

BACKGROUND:

One of the biggest challenges facing the soft fruit sector is to propagate disease free strawberry plants in a timely manner, financially viable approach and in an eco-friendly fashion.

OBJECTIVE:

This study sets out to investigate the efficacy of growing everbearing Fragaria×ananassa ‘Malling Ace’ runners at different propagation dates and under Different LED lighting regimes using vertical farming units and glasshouse (as control).

METHODS:

To evaluate the effects of the treatment factors, some of the main horticultural features including rooting success rate, rooting speed, root and shoot biomass production, chlorophyll content and bud emergence were measured and statistically analysed. In addition, this study aimed to investigate the energy efficiency of a self-sufficient Direct Current (DC) based vertical farming unit, versus a vertical farming unit using the Alternate Current (AC) electricity provided by national grid electricity.

RESULTS:

light, tipping date, and the interaction between light and tipping date, significantly influenced shoot biomass, total crown diameter, and chlorophyll content in the leaves of ‘Malling Ace’. In terms of energy demand, the DC unit had a higher level of energy efficiency over AC unit with 23% less energy demand.

CONCLUSION:

In general, this trial demonstrated vertical farming as a potentially sustainable method and efficient tool in propagating strawberry plants.
Modified hybrid fruit fly-based salp swarm optimization strategy for energy efficient optimization in MIMO Wireless Powered Communication Networks
Authors: Kumar G. Harish , Rao P. Trinatha
Published: June 2024

A potential way to handle the future requirements of wireless data traffic is the Massive Multiple Input Multiple Output (MIMO) antenna systems. The most effective method to satisfy the demand for wireless data traffic is to enhance the Spectral Efficiency of the existing spectrum since the wireless spectrum is a limited resource. In the MIMO network, cell-free, energy-efficient, and user-centric are considered as most important parameters to achieve effective communication. Therefore, a new energy efficiency optimization scheme is developed in a massive MIMO system to improve the system’s capacity and spectral efficiency. The multi-channel optimization problem is effectively rectified with the help of this newly designed energy efficiency optimization scheme. Here, the “Singular Value Decomposition (SVD)” method is utilized for the implementation of a sub-channel grouping scheme, where the sub-channels are arranged in descending order based on the results attained from SVD. After arranging the sub-channels, the sub-channel grouping is carried out, and then the energy efficiency optimization is provided with the help of Integrated Fruit Fly with Salp Swarm Optimization (IFFSSO). This energy-efficient algorithm improves the system capacity and spectral efficiency. The experimental outcome is revealed through various conventional models to ensure the energy efficiency of the recommended model.
Estimation of three-parameter Fréchet distribution for the number of days from drug administration to remission in small sample sizes
Authors: Ogura Toru , Shiraishi Chihiro
Published: June 2024

In medical research, it is common to estimate parameters for each group and then evaluate the estimated parameters for each group without comparing the groups. However, researchers frequently want to determine whether the two distributions using the estimated parameters differ significantly between the two groups. For the Weibull distribution, the two-sample Kolmogorov-Smirnov test (two-sided) was used to examine whether the two distributions were significantly different between the two groups. Based on this, we developed a method to compare the two groups using a three-parameter Fréchet distribution. The number of days from drug administration to remission frequently followed a Fréchet distribution. It is appropriate to use a three-parameter Fréchet distribution with a location parameter because patients typically go into remission after several days of drug administration. We propose a minimum variance linear estimator with a hyperparameter (MVLE-H) method for estimating a three-parameter Fréchet distribution based on the MVLE-H method for estimating a three-parameter Weibull distribution. We verified the effectiveness of the MVLE-H method and the two-sample Kolmogorov-Smirnov test (two-sided) on the three-parameter Fréchet distribution using Monte Carlo simulations and numerical examples.
Identifying spatially differentiated pathways for rural transformation in Pakistan
Authors: Joachim Vandercasteelen , Nazar Namesh , Bajwa Yahya , Janssen Willem
Published: June 2024

This paper proposes a conceptual and empirical framework to develop rural transformation strategies tailored to the agroecological potential and market access of rural areas in Pakistan. Such a framework allows to move away from stereotypical countrywide policies as in use in Pakistan and many other countries. Using publicly available geospatial measures of vegetation greenness and an urban gravity model to proxy the agricultural market demand, we classify Pakistan’s rural districts into categories with similar comparative advantages and describe dominant livelihood activities. The framework recommends market-based approaches to support commercial agriculture or non-agriculture business development in well-connected areas and where households have accumulated human and physical capital. In areas with less developed agricultural potential or market access, households will benefit from area-based and community-driven development, skill development, and labor programs. Since data collection is often challenging in rural areas, statistical agencies can use such an empirical framework to advise policymakers on prioritizing public investments and tailoring rural transformation pathways. In addition, statistical agencies can also extend the framework at different levels of resolution, from national to local level, and complement it with primary data sources to validate the usefulness of the approach.
Outlier identification and adjustment for time series
Authors: Fröhlich Markus
Published: June 2024

Identification and replacement of erroneous data is of fundamental importance for the quality of statistical surveys. If statistical units are continuously sampled over an extended period, time series methods can facilitate this task. Numerous outlier identification and replacement procedures are accessible for this particular purpose, like RegArima Approaches within the seasonal adjustment procedures in X13-Arima or Tramo/Seats. These algorithms can be used to identify different types of outliers, like additive outliers, level shifts or transitory changes. In this paper an alternative outlier identification procedure is proposed which is based on a nonlinear model estimated with support vector regressions. The focus of this procedure is on the identification of additive outliers and on the applicability for short time series with less than 3 years of observations.
Identifying the regulatory network of microRNAs and mRNAs to clarify molecular mechanisms in stroke by bioinformatics analysis
Authors: Cen Gengyu , Xia Yumei , Liang Zhijian
Published: June 2024

BACKGROUND: Stroke is one of the leading causes of disability and mortality worldwide. OBJECTIVE: To identify the regulatory network of microRNAs (miRNAs) and mRNAs to clarify molecular mechanisms in stroke. METHODS: Four miRNA datasets and two mRNA datasets of stroke were downloaded from the GEO database. R-Studio was utilized to analyze differentially expressed miRNAs (DEmiRNAs) and mRNAs (DEmRNAs) in the blood of stroke and control patients. FunRich software was utilized to conduct GO and biological pathway analysis on DEmiRNAs, and to search for transcription factors (TFs) of DEmiRNAs. Subsequently, we used miRDB, miRTarBase, and TargetScan to identify DEmiRNAs target genes and intersected with DEmRNAs to find common target genes. The miRNA-mRNA regulatory network of common target genes was constructed by using the Cytoscape. The biological and functional roles of target genes in the regulatory network were predicted using GO and KEGG pathway analyses. RESULTS: 464 DEmiRNAs and 329 DEmRNAs were screened. The top ten TFs (SP1, SP4, EGR1, TCF3, NKX6-1, ZFP161, RREB1, MEF2A, NFIC, POU2F1) were visualized. 16747 target genes of DEmiRNAs were predicted. Target genes were intersected with DEmRNAs, 107 common target genes and 162 DEmiRNAs regulating these common genes were obtained, and then a regulatory network was constructed. Target genes of the regulatory network were primarily enriched in VEGF signaling pathway, lipid and atherosclerosis, T cell receptor signaling pathway. CONCLUSION: This study found that VEGF signaling pathway, lipid and atherosclerosis, T cell receptor signaling pathway are implicated in the biological process of stroke by constructing the regulatory network of miRNAs-mRNAs, which may have guide significance for the pathogenesis and treatment of stroke.
Research on prediction and evaluation algorithm of sports athletes performance based on neural network
Authors: Wang Kai , Zhu Dongming , Chang Zimin , Wu Zhiyong
Published: June 2024

BACKGROUND: The Ultimate Fighting Championship (UFC) stands as a prominent global platform for professional mixed martial arts, captivating audiences worldwide. With its continuous growth and globalization efforts, UFC events have garnered significant attention and achieved commendable results. However, as the scale of development expands, the operational demands on UFC events intensify. At its core, UFC thrives on the exceptional performances of its athletes, which serve as the primary allure for audiences. OBJECTIVE: This study aims to enhance the allure of UFC matches and cultivate exceptional athletes by predicting athlete performance on the field. To achieve this, a recurrent neural network prediction model based on Bidirectional Long Short-Term Memory (BiLSTM) is proposed. The model seeks to leverage athlete portraits and characteristics for performance prediction. METHODS: The proposed methodology involves constructing athlete portraits and analyzing athlete characteristics to develop the prediction model. The BiLSTM-based recurrent neural network is utilized for its ability to capture temporal dependencies in sequential data. The model’s performance is assessed through experimental analysis. RESULTS: Experimental results demonstrate that the athlete performance prediction model achieved an overall accuracy of 0.7524. Comparative analysis reveals that the proposed BiLSTM model outperforms traditional methods such as Linear Regression and Multilayer Perceptron (MLP), showcasing superior prediction accuracy. CONCLUSION: This study introduces a novel approach to predicting athlete performance in UFC matches using a BiLSTM-based recurrent neural network. By leveraging athlete portraits and characteristics, the proposed model offers improved accuracy compared to classical methods. Enhancing the predictive capabilities in UFC not only enriches the viewing experience but also contributes to the development of exceptional athletes in the sport.
Evaluation of the efficacy and safety of remazolam in tooth extraction surgery: A randomized, single-blind, multi-center clinical trial
Authors: Sun Yuyan , Li Qian
Published: June 2024

BACKGROUND: Dental extraction or tooth extraction is a common clinical radical treatment surgery. OBJECTIVE: To explore the efficacy and safety of remimazolam in tooth extraction surgery in a randomized, single-blind, multi-center clinical trial. METHOD: Patients who underwent tooth extraction surgery at Jinan Stomatological Hospital from April 2022 to March 2023 were selected as the research subjects, and they were divided into a control group and an observation group using the random arrangement table method. The patients in the control group were anesthetized with midazolam, and the patients in the observation group were anesthetized with remimazolam. Collect the general demographic data of the patients, use the propensity score matching method (PSM) to balance the baseline data of the two groups, and use t-test, chi-square test, and analysis of variance to compare the hemodynamics, anesthesia maintenance period indicators, and alertness/Sedation scores and occurrence of adverse reactions. RESULT: PSM matching was performed according to a 1:1 ratio, and 40 patients were included in the observation and control groups. There was no statistical significance in the baseline data of the two groups. Compared with T0, the hemodynamic indexes of both groups of patients increased at T1, T2, T3, T4, and T5 (P< 0.05), but the indexes at T0 and T2 were the same. The same (P> 0.05), and the indicators of the observation group at T1, T3, T4, and T5 were higher than those of the control group (P< 0.05); the administration time of the two groups of patients was the same (P> 0.05), but the observation group The recovery time and onset of effect were shorter than those in the control group (P< 0.05); at T0, the clinical behavior scores of the two groups of patients were the same (P> 0.05), and at T1, the scores of the observation group were lower than those of the control group (P< 0.05); at T0 and T1, the alertness/sedation scores of the patients in the observation group were lower than those in the control group, but at T2, the scores of the patients in the observation group were higher than those in the control group (P< 0.05); the total clinical adverse reactions of the patients in the observation group were The incidence rate (5.00%) was lower than that of the control group (30.00%) (P< 0.05). CONCLUSION: The use of remimazolam during tooth extraction can stabilize the patient’s hemodynamics, shorten the recovery and onset time, stabilize the patient’s behavior, have an excellent soothing effect, have fewer adverse reactions, and be safer, so it is worthy of use.
Formative assessment of students' educational results in informatics in basic school
Authors: Bosova L. L. , Samylkina N. N. , Bosova A. Yu.
Published: June 2024

The article continues to consider the changed approaches to control and evaluation activities in accordance with the requirements of the updated Federal State Educational Standard for basic general education. The article "Intra-school control: System for evaluating subject outcomes in informatics (level of basic general education)" ("Informatics in School", No. 4-2023) examined intra -school assessment and its components in general. The current article presents in detail the use of formative assessment (assessment for learning) in the ongoing and thematic monitoring of educational results in informatics. The characteristics of formative assessment, the experience of using it to improve the quality of learning and the use of different techniques of assessment for learning are presented. Using specific examples of various formative assessment techniques, assignments, assessment criteria and the conversion of points into grades, the difference in assessment materials for current and thematic control in the study of informatics is demonstrated.
Development of functional literacy in informatics lessons: Project "A book with your own hands"
Authors: Solovianiuk-Krotova V. G.
Published: June 2024

Functional literacy, understood as the ability to apply knowledge, skills and abilities to solve life tasks in various spheres, can be developed at informatics lessons by performing special tasks. As a rule, such tasks include projects. Each project implies relevance, problems, purpose, stage, plan and a certain number of tasks to fulfill, as well as anticipation of the result. The article presents the experience of realization of the project "A book with your own hands", which creates effective conditions for the development of several types of functional literacy and contributes to the harmonious development of students' personality. The project can be realized among schoolchildren of any age and any form of education (full-time or distance learning, in-class and extracurricular). It is possible to modify each component of the project, starting from the theme and ending with the software. Everything depends on the level of students' training and their development potential. The project can be further developed by adding a project defense as a  stage of public presentation of the experience.
Perancangan Plant Automation untuk Battery Monitoring System Menggunakan Arduino Uno
Authors: Saputra Riza Hadi , Sugiarto Kharis , Lesmana Muhammad Faisal
Published: June 2024

BMS (Battery Monitoring System) merupakan contoh penerapan otomasi dalam pengawasan dan pemantauan baterai. Dalam perancangan otomasi pada BMS sederhana, terdapat empat parameter yang diawasi, yaitu tegangan, arus, temperatur, dan SOC (State Of Charge). Pada parameter tegangan, terdapat selisih antara nilai yang dihasilkan dengan multimeter dan nilai yang ditampilkan pada database, yakni sekitar 0.1 V hingga 0.35 V. Meskipun terdapat perbedaan tersebut, hasil analisis menggunakan Mean Squared Error (MSE) menunjukkan nilai sekitar 0.19, yang mengindikasikan bahwa alat yang dibuat dapat dianggap layak. Parameter arus listrik juga mengalami perbedaan antara nilai yang diukur dan nilai sebenarnya. Nilai arus negatif menunjukkan tidak adanya beban yang terhubung, sedangkan nilai arus positif menunjukkan adanya beban yang terhubung. Terdapat selisih antara nilai arus listrik yang diukur dan nilai sebenarnya sebesar 0.002 A hingga 0.02 A, dengan nilai MSE percobaan sebesar 2. Pada parameter SOC, terdapat kesulitan dalam penggunaan sintaks "map" yang mengakibatkan banyak kesalahan saat terjadi penurunan tegangan. Nilai selisih SOC berkisar antara 1% hingga 10%, dan menghasilkan nilai MSE sebesar 4.39. Terakhir, parameter temperatur juga menunjukkan selisih antara nilai pengukuran dan nilai sebenarnya sebesar 0.0210C hingga 0.6450C. Hasil analisis MSE akan menjadi dasar untuk mengevaluasi keberhasilan alat otomasi yang dirancang. Evaluasi ini penting dalam menentukan apakah alat tersebut memenuhi standar yang ditetapkan dan dapat diandalkan dalam pemantauan baterai. Dengan demikian, pemahaman terhadap hasil otomasi pada BMS sederhana ini memberikan kontribusi penting dalam pengembangan teknologi otomasi yang lebih efektif di masa depan.
Klasifikasi Penyakit Hati Menggunakan Perbandingan Implementasi Algoritma Naïve Bayes Dan K-Nearest Neighbor
Authors: Simamora Valentino , Desiani Anita , Irmeilyana Irmeilyana
Published: June 2024

Hati merupakan organ kelenjar dalam tubuh manusia. Hati manusia memiliki bobot kira-kira mencapai 1200 hingga 1500 gram. Sebagai kelenjar terbesar dalam tubuh manusia, hati dapat terserang berbagai macam penyakit. Kita dapat melakukan klasifikasi mengenai penyakit hati yang bertujuan memperoleh jumlah rata-rata manusia yang terserang penyakit hati. Dengan penelitian ini, kita bisa membandingkan dan menyimpulkan algoritma mana yang paling tepat untuk diterapkan pada proses klasifikasi terhadap penyakit hati. Pada penelitian ini algoritma yang digunakan ialah algoritma pertama Naïve Bayes dan algoritma kedua K-Nearest Neighbor (K-NN). Dari hasil penelitian maka diperoleh bahwa Naïve Bayes memberikan nilai akurasi, presisi dan recall sebesar 85%-85,5% yang mana ini dapat dikatakan cukup baik namun belum baik. Sedangkan K-NN dapat memberikan nilai sempurna pada akurasi, presisi dan recall yaitu 100%. Maka algoritma yang terbaik dan dapat digunakan adalah algoritma K-NN