bluuebunny/crossref_metadata_2025 huggingface dataset:
Regional remote intelligent patrol system and AI application algorithm for community security
Authors: Deng Jie , xiao fei , li xin , leng xiankai , zheng jianghua
Published: June 2024

Community safety management plays a crucial role in urban management,
and with the rapid development of AI technology, the role of intelligent
safety monitoring system in community safety management becomes more and
more prominent. The purpose of this paper is to introduce a
community-oriented area-based remote intelligent patrol system and focus
on the application of YOLOv8 algorithm in it. The system utilizes
hardware devices such as drones, inspection robots, and cameras,
combined with the YOLOv8 algorithm, to realize all-round monitoring and
alarm response to the security conditions that can be generated in
different areas of the community. The establishment of the system can
provide a new technical idea and solution for community security
management, and is expected to provide effective support for building a
safe and harmonious community environment.
Left atrial strain parameters to predicting elevated left atrial pressure in patients with atrial fibrillation
Authors: Xu Ying , Zhou Jiawei , Su Bo , Sun Yun-juan , Zhou Jing , Liu Yang , Zhou BingYuan , Zou Cao
Published: June 2024

Objectives: To assess the ability of left atrial(LA) strain
parameters to discriminate patients with elevated left atrial
pressure(LAP) from patients with atrial fibrillation(AF).
Methods and results: A total of 142 patients with non-valvular
AF who underwent first catheter ablation(CA) between November 2022 and
November 2023 were enrolled in the study. Conventional and
speckle-tracking echocardiography（STE）were performed in all patients
within 24 hours before CA，and LAP was invasively measured during the
ablation procedure. According to mean LAP,the study population was
classified into 2 groups of normal LAP(LAP＜ 15 mmHg, n=101) and
elevated LAP（LAP≥15 mmHg, n=41)．Compared with the normal LAP group,
elevated LAP group showed significantly reduced LA reservoir strain
(LASr) [9.14 ( 7.97 -11.80 ) vs 20(13.59-26.96), p <
0.001], and increased LA filling index[9.60 ( 7.15 -12.20 ) vs 3.72
( 2.17 -5.82 )，p<0.001], LA stiffness index[1.13 (
0.82-1.46 ) vs 0.47( 0.30 -0.70 )，p<0.001]. LASr, LA
filling index and LA stiffness index were independent predictors of
elevated LAP after adjusted by the type of AF, EDT, E/e’, mitral E and
Peak acceleration rate of mitral E velocity. The receiver-operating
characteristic curve (ROC) analysis showed LA strain parameters (area
under curve [AUC] 0.794 to 0.819) could provide similar or greater
diagnostic accuracy for elevated LAP, as compared to conventional
echocardiographic parameters. Furthermore, the novel algorithms built by
LASr, LA stiffness index, LA filling index and LA emptying
fraction（LAEF）, was used to discriminate elevated LAP in AF with good
accuracy (AUC 0.880, accuracy of 81.69%, sensitivity of 80.49%,
specificity of 82.18%), and much better than 2016 ASE/EACVI algorithms
in AF. Conclusion: In patients with AF，LA strain parameters
could be useful to predict elevated LAP and non-inferior to conventional
echocardiographic parameters. Besides, the novel algorithm built by LA
strain parameters combined with conventional parameters would improve
the diagnostic efficiency.
Spatial Distribution Status of Landform in 1st Grade Area of Ecology and Nature Map
Authors: Yoon Hye-Yeon , Hwang So-Young , Park Hyun-Su
Published: June 2024

In this study, spatial distribution analysis was conducted on the landforms that appear within the 1st grade area using the ecology and nature map of 2023. As a result, a total of 97 landforms including tidal flat and incised meander were identified as unit landforms, and a total of 1,490 sites were distributed. The spatial distribution by administrative region was highest in Gangwon-do with 273 sites (12.8%), and by unit landform, cliff (173 sites), stream cliff (129 sites), and sea cliff (100 sites) were the most distributed. These landforms are cliffs found in mountainous, riverine, and coastal areas, respectively, and are characterized by their high geomorphological conservation value due to their large scale and geometric shape compared to other terrains. In terms of spatial distribution by landform type, stream landforms (501 sites, 33.6%) accounted for the largest proportion, and there were 24 units landforms. The results obtained can be utilized for future designation of expanded ecosystem protection areas or ecosystem monitoring surveys, along with continued landform conservation.
A Retrospective Cohort Study on the Comorbidity in 19,264 Chinese Patients of Different Ages with Urticaria
Authors: Xiao Meng , Zhang Xinmei , Guo Afei , Zhang Kaiyue , Zhao Qian , Fan Liyun , Xue Lu , Zhang Junyan , Hou Shuping , Wang Huiping
Published: June 2024

To examine the prevalence of comorbidities in Chinese urticaria patients and assess medication use patterns across different ages (6–11 years, 12–17 years, above 18 years), a retrospective cohort study was performed in 192,647 urticaria patients within the Health Database. After 1:1 propensity score matching, 166,921 people were divided into the urticaria group and the control group, and the follow-up data were collected within 2 years. During the 12-month and 24-month follow-up period, significant comorbidities identified included allergic rhinitis and asthma, with distinct patterns observed across age groups. Chronic urticaria patients often have complications, such as allergic rhinitis, upper respiratory infection, oropharyngeal infection, and dental caries. The study underscores the need for age-specific treatment strategies in urticaria management.
Rational Emotive Behavior Therapy untuk Mengurangi Kecanduan Game Online
Authors: Yadi Yadi Jatira , Netrawati
Published: June 2024

Kecanduan game online merupakan suatu kondisi atau perilaku yang dilakukan seseorang secara berulang-ulang. Fenomena yang terjadi pada siswa berkaitan dengan kecanduan game online yaitu siswa malas bekerja, mood berubah-ubah, keinginan terus-menerus untuk bermain game online, menyelam ketika guru melarang bermain game online pada jam pelajaran, mengalami penurunan dalam kesehatan mata dan bermain game online lagi setelah ditegur oleh guru di kelas. Kecanduan game online dapat dikurangi dengan memberikan konseling kelompok terapi perilaku rasional emotif. Tujuan dari penelitian ini adalah untuk menguji efektivitas layanan konseling kelompok dengan pendekatan terapi perilaku emotif rasional untuk meringankan kecanduan game online siswa. Metode penelitian yang digunakan adalah metode penelitian kuantitatif dengan jenis penelitian pra eksperimen. Desain eksperimen yang digunakan adalah one group pre-test post-test design. Populasi dalam penelitian ini berjumlah 1047 siswa, dan diambil sampel sebagai kelompok eksperimen sebanyak 10 siswa. Penarikan sampel menggunakan purposive sampling. Uji validitas yang dilakukan pada penelitian ini menggunakan korelasi product moment dengan nilai rtabel sebesar 0,334 dengan jumlah item valid sebanyak 47. Instrumen penelitian menggunakan model skala likert, data dianalisis menggunakan Wilcoxon Signed Rank Test dengan bantuan versi SPSS 25.00. Hasil penelitian menunjukkan bahwa survei siswa kecanduan game online sebelum diberikan perlakuan (pre-test) berada pada kategori tinggi, survei siswa kecanduan judi online setelah diberikan perlakuan berada pada kategori rendah dan sangat rendah. Layanan konseling kelompok dengan pendekatan terapi perilaku emosi rasional efektif meringankan kecanduan game online siswa. Implikasi Penelitian ini menunjukkan bahwa terapi perilaku rasional emotif dengan perencanaan yang baik dan berkesinambungan akan membantu anggota kelompok menjadi lebih aktif dalam berpikir, berbagi ide, gagasan dan pengalaman sehingga anggota kelompok memperoleh pengetahuan baru dan pemikiran baru yang rasional.
From the frontier to the city: The transformation of the imperial court in the age of the Theodosian dynasty (379-457)
Authors:   , Moore Joseph
Published: June 2024

Beyond acting as a residence for the monarch, a royal court serves as a physical, sociological, and ideological space within which the authority of the monarch was negotiated and reinforced. The analysis of the late Roman court as a sociological institution beyond its governing function has been a relatively recent development in Late Antique Scholarship. As such, scholars have too often analysed it as a static institution, failing to appreciate profound developments throughout this period. My thesis will identify one of most important, the shift from a mobile to sedentary court, which I identify as a product of the Theodosian dynasty (379-457). The unique dynamics of Theodosius I’s accession in 379 necessitated a change in the nature of the court, settling the court in a fixed residence. This resulted in a long-term shift away from the mobile court of earlier dynasties to a sedentary court centred in Constantinople in the east, and Milan and then Ravenna and Rome in the west. My thesis will analyse this shift and the impact it had. I first consider the contradictory images of the imperial court that are presented by the primary sources. I then analyse the shift from a mobile court to a sedentary court. After that I argue that this resulted in the elaboration of more complex forms of court ceremonial. Finally, I explore the relationship between the imperial court and one of the main institutions with which it now shared the urban space, the Church. My project will incorporate a variety of primary sources, including narrative sources, oratory, administrative documents, and material evidence. Ultimately, I anticipate that this research will help to inform scholarly debate concerning the late antique imperial court and the nature of imperial power.
Rancang Bangun Aplikasi Mobile untuk Mitra Toko Kain dan Penjahit serta Sistem Administrasi Keuangan Berbasis Web untuk Bisnis Menjahit Rumahan
Authors: Hijriani Astria , Ardito Ridho Rayhan
Published: June 2024

Established in 2016, Syarmee is a make-to-order clothing sewing business located in Lampung Province. The business currently relies on manual documentation for its order processes, which has led to issues such as unreadable handwriting and lost records, subsequently hindering operational efficiency. While Enterprise Resource Planning (ERP) systems present a potential solution, their complexity often results in implementation challenges. To address these issues, Syarmee plans to develop a user-friendly information system tailored to streamline management tasks, including the sewing process, financial reporting, and tailor performance assessments. This new system will utilize the Laravel framework, HTML, CSS, and JavaScript for its web components, alongside Android Studio for the mobile application, aiming to enhance overall business efficiency and data organization.
Implementasi SMOTE dan Support Vector Machine Pada Klasifikasi Data Tidak Seimbang Metilasi Arginin
Authors: Lumbanraja Favorisen Rosyking , Gaol Ester Caroline Lumban , Shofiana Dewi Asiah , Junaidi Akmal
Published: June 2024

Imbalanced data is one of the crucial problems in machine learning and data mining which may provide low accuracy in minority classes and makes the classification method not fully optimized.  The Arginine Methylation dataset for example, gives a large amount of imbalanced data.  Methylation is one of the post-translational modification processes that occurs in arginine protein which affects signal transduction and RNA binding inside cytoplasms.  Therefore, it is essential to handle imbalanced data for classification.  Synthetic Minority Oversampling Technique (SMOTE) is an algorithm for solving imbalanced data in classification using the concept of k-nearest neighbors.  Support Vector Machine (SVM) is a supervised learning method which splits datasets using hyperplane and maximize margin distance.  In this research, the arginine methylation dataset is divided into three experimental data, which consists of training data, testing data, and independen data.  Data processing goes through a series of steps;  data pre-processing (clean redundance data), feature extraction (generates 159 feature dimensions), SMOTE and SVM modeling, and classification testing using 10-fold cross-validation and confusion matrix.  The accuracy of training data is 100% in RBF kernel, whereas testing data gives a low accuracy of 65,90% in linear kernel.  Independen data have decent accuracy in linear kernel by 98,50% percentage.
Rancang Bangun Aplikasi Deteksi Penyakit Tanaman Jagung Melalui Citra Daun Berbasis Android Menggunakan Algoritma Convolutional Neural Network
Authors: Khaira Ulfa , Weni Indra , Wilia Weni
Published: June 2024

Corn is a staple product that is important to Indonesia's development and economy. Corn disease is a major source of yield loss and lower earnings in the corn industry. Each disease demands a distinct intervention, but not all farmers know the type of disease that allows for mistakes in disease management. Convolutional Neural Network (CNN) and transfer learning can provide the best way for recognizing corn leaf disease, as both methods are known to classify objects with high accuracy. Transfer learning was chosen because it allows features and weights from prior training sessions to be reused. As a result, computation time can be reduced while accuracy is raised. In this study, an android app was developed using the CNN pre-trained models to identify corn leaf disease. The dataset includes 2600 images of corn leaf samples from three categories (Bacterial Leaf Blight, Common Rust, and healthy leaves). The model used is MobileNetV2. From the experimental results, the MobileNetV2 produced accuracy of 99% for Bacterial Leaf Blight, 100 % for Common Rust, and 100% for healthy leaves. Performance efficiency testing showed that the highest CPU and memory usage were 15.8% and 178 MB, respectively. This app is compatible with all Android versions, from 8.0 (Oreo) to 13 (Tiramisu).
Proximal Femoral Cortical Thickness Index as a Predictor of Osteoporosis in Women Aged Over 65 Years Old
Authors: Wiguna I Gusti Ngurah Indra , Ridia Ketut Gede Mulyadi , Wiratnaya I Gede Eka , Kawiyana Ketut Siki , Suyasa I Ketut , Priyastana Anak Agung Gede , Andryanto Jonathan , Febyan Febyan , Putra I Dewa Gede Indra Pratama
Published: June 2024

Background: Osteoporosis is a systemic condition characterized by loss of bone mass. The gold standard for diagnosing osteoporosis is bone mineral density (BMD) examination. Measurement of proximal femoral Cortical Thickness Index (CTI) can be considered as a predictor of osteoporosis. This research was conducted to prove proximal femoral CTI as a predictor of osteoporosis in women aged over 65 years. Methods: This research is a cross-sectional study including a correlation test, mean difference test, and diagnostic test for numeric variables. The study population were women aged over 65 years who underwent x-ray and BMD examination at Prof. Dr. IGNG Ngoerah General Hospital from 2021 until October 2023. Samples were taken by consecutive sampling. The subjects were measured for proximal femoral CTI, correlation analysis, mean difference between two groups, and receiver operating characteristic (ROC). Results: Among 34 research subjects, a weak and significant correlation was found between the proximal femoral CTI and BMD (r = −0.387, p = 0.024). The mean of CTI in the osteoporosis group was lower compared with the group without osteoporosis (p = 0.021). The ability of CTI to predict osteoporosis is quite good (AUC > 0.7). The CTI cut-off point of <0.62 is not proven as a predictor of osteoporosis. The most optimal cut-off point of proximal femoral CTI as a predictor of osteoporosis is <0.57 with 70.59% sensitivity, 76.47% specificity, 82.4% positive predictive value (PPV), and 58.8% negative predictive value (NPV). Conclusion: Proximal femoral CTI can be considered a predictor of osteoporosis in women aged over 65 years old.
Resistor and Capacitor Time Constant Measuring Instrument Using Arduino UNO
Authors: Prayogi Soni , Silviana Fitria , Saminan Saminan
Published: June 2024

The most interesting problem to be discussed in electrical physics is one-way electric circuits. In this work, the researchers constructed an experimental setup for determining the time constant of DC resistors and capacitors using the open-source Arduino UNO hardware platform. Arduino UNO was a signal generator for data collection systems and a simple signal visualization instrument. Experiments were carried out using an analog oscilloscope combined with theoretical calculations. The results show that, on a spreadsheet, the data processing and fitting of the curves for the six Resistor and Capacitor test sets yielded values determined by the component tolerances. The researchers believe that the design of this equipment and software demonstrates the recommended suitability, making it flexible for use in teaching and learning in laboratory contexts.
Earth Gravity Detection System with Altitude Variations Using Phypox Application Integrated with Smartphone Acoustic Sensors
Authors: Sebastian Rio , Suparno Suparno , Winingsih Puji Hariati , Saputro Handoyo , Hapsari Nadya Amalia Putri
Published: June 2024

This study aims to examine the effect of altitude on the acceleration of gravity with the help of smartphone acoustic sensors. The altitude varies from the interval 100-1061 MASL (Mean Above Sea Level), located around the Special Region of Yogyakarta. An iron ball is dropped from a certain height, and the time it falls is observed using an acoustic sensor in Phypox, and the results are used to determine the acceleration value due to gravity (g) through the equation g = 2h/t2. Fitting data from measurements of the four altitude variations are shown in the polynomial equation y = 0.000003x2 – 0.0035x +10.718 m/s2 with a regression number R2 = 1,000. This equation shows that the acceleration value due to gravity will decrease quadratically with each increase in the altitude per meter above sea level.
Discovery Learning Model-based Virtual Lab on Photoelectric Effect Material to Improve Critical Thinking Skills
Authors: Ahmad Liza Septia , Prasetyo Zuhdan Kun
Published: June 2024

This article provides an overview and explanation of a product in virtual laboratory media based on the development of discovery learning with a focus on the material of the photoelectric effect. The paper also outlines the readability and practicality aspects for both students and teachers in the virtual lab while explaining the effectiveness of the virtual lab in enhancing students' critical thinking skills. The product discussed in this article was developed using the 4D model and scheme. It has undergone expert validation and product testing. The research presented in this article was conducted at two public high schools in Yogyakarta. The study utilized questionnaires, observation sheets, expert validation sheets, readability sheets, practicality sheets, and tests. The research data was analyzed using Gregory's analysis for expert validation and Manova's analysis for field testing. The study results indicate that the virtual lab is deemed appropriate as a learning medium based on expert validation for the photoelectric effect material. From the perspectives of readability and practicality, the developed product falls into the excellent category. This study, using the Manova test, effectively illustrated a substantial enhancement in the critical thinking abilities of students, notably in the areas of analysis, elaborating on concepts, and forming conclusions. Consequently, this paper offers a detailed insight into the creation of novel educational tools and presents robust empirical data supporting their role in improving critical thinking in students, with a specific focus on the subject of the photoelectric effect.
Radiation Dose Evaluation for Radiotherapy Workers at Unand Hospital Using Four-Element Thermoluminescence Dosimetry
Authors: Fardela Ramacos , Milvita Dian , Rasyada Latifah Aulia , Almuhayar Mawanda , Diyona Fiqi , Mousa Almahdi
Published: June 2024

Radiotherapy is a non-surgery therapy that employs ionizing radiation like X-ray or even radiation to cure cancer as a curative activity. Radiation dose rate analysis is required for the person who worked on radiotherapy to strengthen safety precautions for radiation protection, notably in oncology radiation. The research attempted to disclose time trends and radiation dose rate exposure variations among personnel in radiotherapy installation. Radiation dose examination utilizing four-elements TLD received from 16 respondents grouped into six groups (radiation oncologist, medical physicist, radiotherapist, electromedicine, nurse, and sculptor). The number of occupancy exposures rose 55.5% from 2018 to 2022. The most significant annual radiation dose rate for 900 patient workloads attained by medical physicists was 0.996 mSv. In addition, electronics receive the lowest annual radiation dose at Unand Hospital. Annual effective dose exposure by radiation is still safe, below national or international regulations. However, a protective improvement process is vital to limit radiation interaction, particularly for medical physicists, who are the most vulnerable to radiation exposure.
Horasan’dan Anadolu’ya “Birlik, İrilik, Dirilik”: Alevi-Bektaşi Sazın ve Sözün Sultanlarında Toplumsal Bütünleşme
Authors: Akın Erdem , Üstündağ Kader
Published: June 2024

Tarihî Horasan sınırları içerisinde doğan ve Anadolu’ya yerleşen, “Horasan Erenleri”nden dostluk ve sevgi elçisi, Türk-İslam mutasavvıfı Hünkâr Hacı Bektaş Veli ve onun izinde Alevi-Bektaşi inanç sistemi içerisinde yetişen ve geniş konu çeşitliliğiyle şiirler yazan ozanlar, saz ve sözlerinde toplumsal bütünleşme referanslarına zengin biçimde yer vermeleri sonucunda toplumsal yönlerinin kuvvetli olmalarıyla dikkatleri üzerlerine çekmişlerdir. Sazın ve sözün sultanları, küçük yaştan itibaren aşıklık ve halk şairliğini benimsemiş, şiirlerinde Alevi-Bektaşi inancını ve kültürünü işlemiş, derinden hissedilen toplumsal bütünleşme iletilerini vurgulayarak birliği, bütünlüğü teşvik etmiş, ikiliğe, ayrı-gayrılığa karşı durmuşlardır.
Bu çalışmada, Hacı Bektaş Veli’nin öğretileri ve Alevi-Bektaşi şiir geleneğine odaklanılarak sazın ve sözün sultanlarının birçok açıdan toplumsal bütünleşme için güçlü bir model oluşturduğunun altı çizilmiştir. Dokümantasyon analizi tekniğiyle yürütülen çalışmada, şiirlerden örneklere yer verilerek aşıkların toplumsal bütünleşme içerisindeki yerine odaklanılmıştır. Çalışma sonucunda, Alevi-Bektaşilikte aşıklık geleneğinin canlılığının ve Türkmen Alevileri arasındaki yaygınlığının temsilcisi olan ozanların şiirlerinin toplumsal bütünleşme yönünün kuvvetli olduğuna dikkat çekilmiştir. İçerisinde bulunduğu toplumun birleşmesi, kaynaşması, bütünleşmesi problematiğine kayıtsız kalmayan ozanların incelemeye konu olan şiirlerinde; birliğin sağlanması ve ikiliğin, ayrı-gayrının olmaması, din ve ırk ayrımının yapılmaması, bayrak, vatan ve millet vurgusu dikkat çeker. Söz konusu şiirler, toplumsal bütünleşmenin sağlanmasının yanı sıra Alevi Bektaşi şiir geleneğindeki yol ve süreğin kuşaklararasılığının sağlanmasında önemli bir işleve sahiptir. Dolayısıyla Hacı Bektaş Veli’nin mirası ve Alevi-Bektaşi ozanlarının verimleri, her türlü kutuplaşmayı azaltmak için evrensel ve zamana meydan okuyan, oldukça kapsayıcı, etkili araçlardır. Onun kutlu şahsiyeti başlı başına toplumsal dayanışmayı pekiştiren ve sürdüren bir faktör iken Alevi-Bektaşi şiir geleneği, günümüz dünyasında da güncelliğini koruyarak, toplumda dayanışmayı ve bütünleşmeyi teşvik edebilecek potansiyele sahiptir.
ANALISIS KEBUTUHAN MEDIA PEMBELAJARAN BERBASIS POWTOON UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KREATIF PADA MATERI ALAT-ALAT OPTIK
Authors: Mixsen Muhammad Iqbal , Setiawan Iwan , Purwanto Andik
Published: June 2024

Tujuan dari penelitian adalah untuk mendeskripsikan analisis kebutuhan media pembelajaran berbasis powtoon untuk meningkatkan kemampuan berpikir kreatif pada materi alat-alat optik. Jenis penelitian ini adalah penelitian research and development (R&D) dengan menggunakan metode penelitian 3D (define, design, develop). Pada penelitian ini peneliti membatasi hanya sampai tahap define. Instrumen yang digunakan pada penelitian ini berupa angket analisis kebutuhan guru dan siswa yang terdiri dari 30 peserta didik dari kelas XI MIPA dan 4 guru fisika dari SMA Negeri 2 Kota Bengkulu dan SMA Negeri 9 Kota Bengkulu. Teknik analisis data yang digunakan pada penelitian ini adalah analisis deskriptif. Analisis angket kebutuhan dianalisis menggunakan skala pengukuran mengacu pada salah satu skala tertentu yaitu skala Guttman. Berdasarkan hasil penelitian yang dilakukan dapat disimpulkan bahwa peserta didik membutuhkan media pembelajaran berbasis powtoon untuk meningkatkan kemampuan berpikir kreatif pada materi alat-alat optik. Hal ini di dasarkan data yang diperoleh bahwa 100% peserta didik menjawab sangat setuju dan 100% guru menjawab sangat setuju diperlukannya pengembangan media pembelajaran berbasis powtoon untuk meningkatkan kemampuan berpikir kreatif pada materi alat-alat optik.
PENGEMBANGAN BAHAN AJAR FISIKA BERBASIS GUIDED INQUIRY DALAM MENINGKATKAN KETERAMPILAN BERPIKIR KRITIS SISWA
Authors: Giawa Indah Mawati , Sirait Motlan , Tampubolon Togi
Published: June 2024

Penelitian ini bertujuan untuk menganalisis kelayakan, kepraktisan, keefektifan dan pengaruh pengembangan bahan ajar fisika berbasis guided inquiry dalam meningkatkan keterampilan berpikir kritis siswa. Populasi dalam penelitian ini adalah seluruh siswa kelas X semester 2 jurusan MIPA di SMA Swasta Dwitunggal Tanjung Morawa. Jenis penelitian yang digunakan adalah Research & Development (R&D), yaitu metode penelitian yang menghasikan sebuah produk dalam bidang keahlian tertentu. Tahapan perancangan pembelajaran dengan menggunakan model Borg and Gall. Penelitian menggunakan pendekatan dengan analisis secara kualitatif dan kuantitatif. instrumen yang digunakan untuk mengumpulkan data ada tiga yaitu angket yang digunakan untuk validasi bahan ajar oleh tim ahli materi dan desain, penilaian guru fiiska dan respon siswa terhadap bahan ajar berbasis guided inquiry. Berdasarkan hasil analisis data diperoleh kesimpulan bahwa uji kelayakan bahan ajar oleh validator memperoleh nilai rata-rata persentase sebesar 91,07%, persentase uji kepraktisan bahan ajar oleh validator sebesar 90,75% dengan kategori sangat praktis, persentase uji keefektifan bahan ajar oleh guru dan siswa sebesar 88,75% dengan kategori sangat efektif dan pengembangan bahan ajar berbasis guided inquiry berpengaruh pada peningkatan keterampilan berpikir kritis siswa.
Growth and physiological response of mango (Mangifera indica L.) cv. Alphonso under elevated CO2 conditions
Authors: Shivashankara K.S.  , Laxman R.H  , Geetha G.A  , Rashmi K  , Kannan S.
Published: June 2024

Atmospheric CO2 concentration is expected to reach 460-560 ppm by the year 2050 with an increase of 3.2-4.0°C in temperature. Elevated CO2 and temperature affect fruit crops to a greater extent by affecting flowering, yield and quality of fruits. In the current study, the effect of eCO2 on mango cv. Alphonso was examined under open top chambers (OTC), with ambient CO2 (380 ppm) and elevated CO2 (550 ppm) levels, which were compared with the plants grown outside OTC under ambient conditions. The results revealed that the maximum number of vegetative shoot emergences was observed in OTC under both eCO2 and aCO2 conditions. The photosynthetic rate declined by 25% inside OTC due to increased air and leaf temperature compared to ambient plants placed outside the chambers. Significantly higher reproductive shoots emerged under aCO2 conditions, whereas, no reproductive shoots were observed in aCO2 under OTC, however, few reproductive shoots were observed under eCO2 in OTC. The stomatal number was increased inside OTC chambers under aCO2, but the same was not observed under eCO2 conditions. The other physiological parameters, such as specific leaf weight, chlorophyll content, relative water content, stem girth and total wax content were appeared to be better in eCO2 conditions compared to aCO2 inside OTC and ambient conditions outside OTC. The increase in stomatal number and complete repression of flowering inside OTC at aCO2 was mainly due to higher temperatures compared to outside and this effect of temperature was reduced by eCO2. The results of the study indicated that eCO2 may improve growth rates, flowering and reduce water loss in mango plants.
Transformation of Management Approaches in the Context of Digitalization
Authors:   St. Petersburg State University of Economics, Kalyazina Elena G. , Pleshakova Elena Yu. ,   St. Petersburg State University of Economics
Published: June 2024

This article delves into the evolution of conventional management approaches in response to the escalating influence of digital technologies on the operations of modern organizations. Amidst fierce competition, businesses cannot afford to disregard the new paradigm: the implementation of data-driven management methods, the utilization of Decision Support Systems (DSS), forecasting, and scenario analysis exemplified by digital twins, among others. Fundamental management science does not have time to adapt to the rapid development of practical management and its new tools. The aim of this article is to substantiate the necessity of reevaluating the amassed knowledge base and experience in management to foster a new scientific underpinning for businesses in the realm of digital transformation. The importance of the managerial aspect of digitalization is the central subject of the study. This endeavor will appeal to company executives, managers, and individuals engaged in management and digital transformation issues.
The Impact of Government Support Measures on the Development of the Charging Infrastructure Market in the Russian Federation
Authors:   Moscow Power Engineering Institute, Musayeva Diana E. , Timokhin Roman V. ,   Moscow Power Engineering Institute, Frey Diana A. ,   Moscow Power Engineering Institute
Published: June 2024

Currently, there is a growing awareness worldwide among societies and governments regarding pollution resulting from human activities, raising the issue of climate change. All this, together with other factors, puts a priority theme of environmental friendliness in various areas of the economy, and the field of transport was no exception. The use of vehicles running on alternative fuels and electricity emerges as a pressing agenda. The article examines the development of the charging infrastructure market for electric vehicles, taking into account existing measures to stimulate the electric vehicle market in both Russian and foreign practices. The aim of the study is to systematize the accumulated experience of stimulating demand. Since the electric vehicle market and the charging infrastructure of cities are interrelated, an important task is to identify existing barriers hindering the development of the electric vehicle market in Russia and to investigate support measures. The investment potential of projects for the development of electrical charging infrastructure was assessed, taking into account various forms of support.
On the Problem of Admissibility of Evidence
Authors:   Moscow Research Center, Kornilova Irina G.
Published: June 2024

This article addresses the issue of the admissibility of evidence in criminal proceedings, specifically focusing on the use of results from operational investigative activities, expert conclusions, and testimonies. Until now, the issues of their legalization and recognition as admissible evidence remain controversial. The relevance of this study is underscored by the need in legal theory and practice to recognize the distinct role of non-procedural information in criminal proceedings, which holds significance for the case, and to develop approaches to its legal interpretation and application, considering the sources and methods of its acquisition. The aim of this publication is to justify the necessity of fully reflecting the results of operational investigative activities and expert studies in the materials of pre-trial investigation and criminal cases for subsequent judicial review. To achieve this goal, a number of tasks are solved, including: analysis of approaches to understanding the stated problem that have emerged in the scientific legal literature, determination of legal ways to solve it within the framework of current legislation. An overview of the procedural process of judicialization is provided, with emphasis on the possibilities of interrogating personnel conducting operational support and specialists performing individual studies, the results of which are then subject to verification and evaluation in accordance with the requirements of relevance and admissibility of evidence. In conclusion, the integration of operational investigative results and expert analyses as admissible evidence in criminal proceedings requires balanced approaches that uphold procedural integrity while accommodating the complexities of modern investigative techniques. By advancing these discussions, policymakers and legal practitioners can foster a more robust framework for evidence evaluation and judicial decision-making.
Criminal Legal and Criminological Tools to Combat Drug Addiction: On the Example of Dissertations Defended under the Guidance of Professor Marina Leonidovna Prokhorova
Authors:   Kuban State University, Ulitin Ilya N. , Mikhalin Aleksey G. ,   Kuban State University
Published: June 2024

The article is an overview of criminal legal and criminological tools used in the fight against drug addiction, with an emphasis on research conducted under the guidance of Professor Marina Leonidovna Prokhorova. The authors analyze the final conclusions of dissertations devoted to these issues, including conceptual approaches to combating drug addiction, determining the role of the criminal subculture and the deviant environment of drug addicts in influencing a healthy society, as well as mechanisms for the rehabilitation of people suffering from drug addiction. It is underscored that these dissertations have collectively engendered an entire scientific domain, consolidating developed criminal law and criminological means for counteracting drug addiction. Diverse methods and strategies utilized to address the challenges associated with overcoming drug addiction and rehabilitation of drug addicts are characterized herein. The integration of these doctrinal tenets is advocated for the formulation of a robust and balanced criminal law policy aimed at preempting drug addiction.
International Experience of Applying Management Technologies in the System of Public Administration
Authors:   Russian Presidential Academy of National Economy and Public Administration, Apanasyuk Yuliya V.
Published: June 2024

This article examines the impact of innovation on public administration and planning in the context of comparative analysis. The author emphasizes key aspects such as the development of digital technologies, ensuring the availability of information, increasing citizen participation and protecting data privacy. The main focus is on analytics to ensure public safety, counter insider threats, human resource management and urban infrastructure development. Methods for utilizing Big Data and artificial intelligence in public administration are presented, along with outcomes from governmental projects based on Big Data. It is noted that the collection and analysis of vast amounts of statistical information allows authorities to develop targeted support programs for specific social groups, optimize urban infrastructure and transport, and improve public safety by identifying financial crimes and illegal activities. Furthermore, the introduction of big data technologies can bring the quality of public services to a new level and make the political decision-making process more transparent and citizen-centric.
The Use of Augmented Reality Technology in Efforts to Promote Library Books
Authors: Pamudji Andre Kurniawan
Published: June 2024

The abstract of the article is about the use of Augmented Reality technology to promote physical books and increase interest in reading among the millennial generation. The author highlights the challenge faced by libraries in the current era, which is the lack of interest in reading among young people, as reported by data from the Program for International Student Assessment (PISA) in 2019. The author argues that many books designed for children and young people are perceived as unappealing and lack attractive visual elements, which affects their literacy. To address this issue, the author suggests the use of Augmented Reality technology, which combines the real and virtual world, to promote physical books and increase interest in reading. The author cites Snapchat, a popular social media application with over 332 million daily users, as an example of a software that can be used to implement Augmented Reality technology in promoting books.
Neo adult learners’ instructional learning model in higher learning education
Authors: Abu Hasan Norraidah , Temyati Zawawi , Kamarudin Mohd Faizal , Susanto Perengki
Published: June 2024

Open and Distance Learning (ODL) is important for lifelong learning, allowing adults to acquire new skills, update their knowledge, and stay relevant in an ever-evolving job market. A notable area for improvement is observed in the availability of a comprehensive framework to direct the formulation of Open and Distance Learning (ODL) environments that aptly cater to the requisites of adult learners. There needs to be a comprehensive framework to guide the design of ODL environments that meet the needs of adult learners and which is supported by adult learning theories, online knowledge construction, and technology acceptance. This paper examines the instructional designs intended to improve adult learner achievement and meet the self-empowerment needs of adult working students. The research will investigate the theories and perspectives on adult learning in higher education based on the existing literature. This research proposes the existence, relatedness, and growth (ERG) theory and the Heutagogy principle to capture the needs of adult learners from both positivist and subjectivist perspectives.
Near-Infrared Genggam untuk Penilaian Mutu Minyak Ikan dari Mata Tuna Beku
Authors: Riyanto Bambang , Tarman Kustiariyah , Trilaksini Wini , Pratiwi Ghina Eka
Published: June 2024

Mutu minyak ikan kaya docosahexaenoic acid (DHA) memiliki keterkaitan yang signifikan dengan bahan baku mata tuna. Penanganan dan penyimpanan beku mata tuna masih dihadapkan pada kondisi yang belum optimal dan membutuhkan kepraktisan akan analisis terhadap kandungan minyak ikan. Near-infrared (NIRS) genggam menjadi alternatif potensial dalam menganalisis minyak ikan seiring perkembangan perangkat seluler modern. Tujuan penelitian adalah menentukan mutu (asam lemak bebas, bilangan peroksida) dan kandungan asam lemak minyak ikan dari mata tuna dengan kondisi penyimpanan beku menggunakan NIRS genggam. Penelitian mencakup penentuan karakteristik mata tuna pada kondisi penyimpanan beku, dilanjutkan dengan ekstraksi dan analisis mutu (asam lemak bebas, bilangan peroksida) serta kandungan asam lemak minyak ikan. Data yang diperoleh dikorelasikan dengan spektrum NIRS gengam menggunakan model kuadrat terkecil parsial (PLS). Hasil penelitian menunjukkan bahwa kandungan asam lemak bebas dan bilangan peroksida minyak ikan pada penyimpanan beku mata tuna 6 bulan adalah 8,39±3,47 % dan 180,3±13,31 mEq O2/kg, sementara pada penyimpanan beku 12 bulan adalah 3,43±0,69% dan 149,9±30,59 mEq O2/kg. Kandungan DHA minyak ikan pada kondisi penyimpanan beku mata tuna masihtetap tinggi, yaitu 25,49±0,03 % dan 26,16±1,30 %. Near-infrared genggam memberikan penilaian dan informasi relevan terhadap mutu minyak ikan dari kondisi penyimpanan beku mata tuna, sebagaimana ditunjukkan dengan nilai korelasi R2-Pearson DHA dan EPA, yaitu 0,98, serta nilai root mean squared error-RMSE untuk kalibrasi DHA adalah 0,08 dan EPA 0,02, sedangkan RMSE validasi DHA adalah 0,12 dan EPA 0,04.
NOVO REGISTRO DE Monodelphis americana (Müller, 1776) (DIDELPHIMORPHIA, DIDELPHINAE) PARA A ESTAÇÃO ECOLÓGICA JURÉIA-ITATINS, PERUÍBE, SP
Authors: Moura Claudio de , Rocha Guilherme Casoni da , Caetano Aruã Fernandes Antunes , Muniz Alana Marques Silva , Macedo Marcos Samuel , Freitas Nayara Helena Alecrim de
Published: June 2024

O marsupial Monodelphis americana (Müller, 1776) (Didelphimorphia, Didelphinae) é um animal nativo e endêmico do Brasil, que ocorre em alguns estados das regiões Norte e Centro-Oeste, e em todos os estados do Nordeste e Sudeste, nos domínios fitogeográficos da Caatinga, Cerrado e Mata Atlântica. Porém, informações sobre seus hábitos ou ecologia de suas populações são escassas. Apresentamos no presente trabalho um novo registro da espécie para a Estação Ecológica Juréia-Itatins - EEJI (24°21'17.61"S e 47°00'25.37"W), na Serra do Guaraú, município de Peruíbe, estado de São Paulo, Brasil. Tal registro, além de evidenciar a rica biodiversidade da EEJI, mostra também que ela ainda não foi totalmente desvendada e revela seu potencial para desenvolvimento de projetos relacionados ao inventário e ecologia de pequenos mamíferos, sobretudo do gênero Monodelphis.
ROSE (Recycling Organization through Sustainability Education): Examining the mediating effects of waste minimization behaviour in the relationship between environmental education and environmental performance at the Saudi Arabian Universities
Authors: Sobaih Abu Elnasr E. , Gharbi Hassane , Zaiem Imed , Aliane Nadir
Published: June 2024

The world has never been more developed, yet humanity is on the brink of irreversible environmental loss. Despite the urgency of the situation, there is a limited body of studies addressing environmental concerns in higher education institution, particularly in developing countries, i.e., Saudi Arabia. Sustainable development is the only viable solution, albeit it requires the courage to initiate and sustain efforts dedicated to preserving the environment for the well-being of future generation. The article delves into this issue and examines the impact of environmental education program (EEP) on environmental performance (EP) via waste minimization behaviour (WMB). The research involved meticulous data collection from a sample of 597 students, representing diverse genders and academic specialties at the esteemed public university—King Faisal University (KFU) in Saudi Arabia. The study used statistical software (including SPSS and AMOS, v 25) for rigorous analysis and revealed significant findings. Firstly, the study showed a significant and positive relationship between EEP and EP. Secondly, it revealed a significant and positive association between EEP and WMB. Thirdly, the study ascertained a significant and positive association between WMB and EP. Finally, the study found that the relationship between EEP and EP remains significant even after presenting WMB as a mediator, proposing that WMB has a partial mediation role between EEP and EP. The results highlighted the significance role of EEP in stimulating WMB and achieving EP in the Saudi universities, which contributes to national initiative of green Saudia.
Procedurally generated AI compound media for expanding audial creations, broadening immersion and perception experience
Authors: Samson Grzegorz
Published: June 2024

Recently, the world has been gaining vastly increasing access to more and more advanced artificial intelligence tools. This phenomenon does not bypass the world of sound and visual art, and both of these worlds can benefit in ways yet unexplored, drawing them closer to one another. Recent breakthroughs open possibilities to utilize AI driven tools for creating generative art and using it as a compound of other multimedia. The aim of this paper is to present an original concept of using AI to create a visual compound material to existing audio source. This is a way of broadening accessibility thus appealing to different human senses using source media, expanding its initial form. This research utilizes a novel method of enhancing fundamental material consisting of text audio or text source (script) and sound layer (audio play) by adding an extra layer of multimedia experience – a visual one, generated procedurally. A set of images generated by AI tools, creating a story-telling animation as a new way to immerse into the experience of sound perception and focus on the initial audial material. The main idea of the paper consists of creating a pipeline, form of a blueprint for the process of procedural image generation based on the source context (audial or textual) transformed into text prompts and providing tools to automate it by programming a set of code instructions. This process allows creation of coherent and cohesive (to a certain extent) visual cues accompanying audial experience levering it to multimodal piece of art. Using nowadays technologies, creators can enhance audial forms procedurally, providing them with visual context. The paper refers to current possibilities, use cases, limitations and biases giving presented tools and solutions.
Timbra: An online tool for feature extraction, comparative analysis and visualization of timbre
Authors: Szymański Filip , Łukasik Ewa , Chudy Magdalena
Published: June 2024

Dariah.lab is a research infrastructure created for digital humanities, consisting of state-of-the-art hardware and dedicated software tools. One of the tools developed for digital musicology is Timbra, a web-based application for conducting research on sound timbre. The aim was to create an easy-touse online tool for non-programmers. The tool can be used to calculate, visualise, and compare different timbre characteristics of uploaded audio files and to export the extracted parameters in CSV format for further processing, e.g. by classification tools. The application offers extraction and visualisation of scalar features such as zero crossing rate, fundamental frequency, spectral centroid, spectral roll-off, spectral flatness, band energy ratio, as well as feature vectors (e.g. chromagram, spectral contrast, spectrogram, and MFCCs). An interested user can compare selected sound characteristics using various types of plots and run dissimilarity analysis of timbre parameters by means of 2D or 3D multidimensional scaling (MDS). The paper showcases potential applications of the tool based on presented case studies. In terms of implementation, the calculations are performed at the backend Django server using Librosa and standard Python libraries. Dash library is used for the frontend. By offering an easy-to-use tool accessible anytime and anywhere through the Internet, we want to facilitate timbre analysis for a broader group of researchers, e.g. sound engineers, luthiers, phoneticians, or musicologists.
A novel edge computing approach to astronomical image data processing based on sCMOS camera using SoC
Authors: Zienkiewicz Paweł , Karpińska Katarzyna , Jamroży Mikołaj , Juszczyk Bartłomiej , Pochapskyi Dmytro , Przedpełski Tomasz , Łukasiewicz Jerzy , Czortek Natalia , Brona Grzegorz
Published: June 2024

The ever-growing deluge of astronomical data challenges traditional server-based processing, hindering real-time analysis and scientific discovery. This paper proposes a novel approach: edge computing directly on an sCMOS camera using a System-on-Chip (SoC) architecture currently developed at Creotech Instruments. We present a custom-designed camera equipped with an FPGA-based SoC, enabling on-board preprocessing and feature extraction of astronomical images. This significantly reduces data transmission, minimizes latency, and empowers real-time decision-making for critical observations. We showcase the camera's capabilities through real-world scenarios, demonstrating its usability in astronomy.