bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Variasi Konsentrasi Gliserol pada Ekstraksi Glukomanan dari Umbi Porang (Amorphophallus oncophyllus)
Authors: Kusumaningsih Triana , Prahastiwi Melinia Puspita , Suryanti Venty 
Published: March 2024

<p>Kandungan glukomanan yang tinggi pada umbi tanaman porang (<em>Amorphophallus oncophyllus</em>) telah menjadikannya sebagai salah satu sumber glukomanan potensial di Indonesia. Glukomanan yang dikenal dengan kandungan gulanya yang rendah, dapat menjadi makanan pengganti beras yang sehat. Penelitian ini berfokus pada ekstraksi glukomanan menggunakan gliserol, penentuan kadar proksimat, dan penilaian kadar kalsium oksalat dalam glukomanan. Gliserol cairan yang tidak berwarna, tidak berbau, berasa manis, dan tidak beracun, digunakan dalam proses ekstraksi. Ekstraksi glukomanan melibatkan maserasi dengan berbagai konsentrasi gliserol (45, 65, dan 85% v/v). Proses maserasi dilakukan dengan pengadukan pada 12.000 rpm selama 1 jam, diulang dua kali, dan diikuti dengan tiga kali pencucian dengan air suling. Untuk mengurangi kadar kalsium oksalat pada umbi porang, dilakukan perendaman dalam larutan NaCl 10% dan 20% (b/v) pada suhu 80°C selama 30 menit. Konsentrasi gliserol 85% (v/v) memberikan hasil yang optimal untuk ekstraksi glukomanan, menghasilkan glukomanan dengan kandungan 61,2%. Analisis proksimat menunjukkan glukomanan dengan kadar lemak 0,29%; protein 2,33%; karbohidrat 9,41%; air 9,40%; dan abu 2,08%. Konsentrasi NaCl yang paling efektif untuk menurunkan kadar kalsium oksalat adalah 20%, yang menghasilkan penurunan kadar kalsium oksalat sebesar 88,44%.</p><p> </p><p><strong>Effect of Glycerol Concentration Variation on Glucomannan Extraction from Porang Tubers (<em>Amorphophallus oncophyllus</em>). </strong>Due to the high glucomannan content in its tubers, the porang plant (<em>Amorphophallus oncophyllus</em>) emerges as a potential glucomannan source in Indonesia. Glucomannan, known for its low sugar content, can serve as a healthy rice substitute. This study focuses on glucomannan extraction using glycerol, determining proximate levels, and assessing calcium oxalate levels in glucomannan. Glycerol, a colorless, odorless, sweet-tasting, and non-toxic liquid, was employed in the extraction process. Glucomannan extraction involved maceration with varying glycerol concentrations (45, 65, and 85% v/v). Maceration, accompanied by stirring at 12,000 rpm for 1 hour, was repeated twice, followed by three washes with distilled water. To reduce calcium oxalate levels in porang tubers, soaking using 10% and 20% (w/v) NaCl solution at 80°C for 30 minutes was carried out. An 85% (v/v) glycerol concentration yielded optimal results for glucomannan extraction, producing glucomannan with a content of 61.2%. Proximate analysis indicated glucomannan with 0.29% fat, 2.33% protein, 9.41% carbohydrates, 9.40% water, and 2.08% ash content. The most effective NaCl concentration for reducing calcium oxalate content was 20%, resulting in an 88.44% reduction in calcium oxalate levels</p>
Application of Capital Punishment for Narcotics Offenders in the Perspective of Responsive Law
Authors: Pahlevi Muhammad Alief Yunas , Haruni Catur Wido , Prasetyo Said Noor 
Published: March 2024

This study employs a normative legal research method, grounded in the Nonet and Selznick theory of responsive law, to examine the implementation of capital punishment for narcotics offenders in Indonesia. Evaluating the punitive measures through the lens of responsiveness to societal goals, participation of vulnerable groups, and legal institutions' balanced response, the research highlights the need for a nuanced approach. Findings indicate that the current use of capital punishment lacks effectiveness and contradicts human rights principles. The study suggests a reassessment, prioritizing rehabilitation and decriminalization for a more humane and sustainable approach to combating narcotics trafficking.
Highlights:

The study reevaluates the application of capital punishment for narcotics crimes in Indonesia through the lens of responsive legal principles.
Findings underscore the ineffectiveness of the current punitive measures and their conflict with human rights norms.
The research advocates for a reconsideration of the approach, emphasizing rehabilitation and decriminalization to achieve a more humane and sustainable strategy against narcotics trafficking.

Keywords: Capital Punishment, Narcotics Offenses, Responsive Law, Human Rights, Rehabilitation.
PENGGUNAAN MEDIA MIND MAPPING UNTUK MENINGKATKAN KREATIVITAS DAN KETERAMPILAN SISWA
Authors: Rizha Nurhayanti  , Khoirun Nikmah  
Published: March 2024

Kreativitas dan keterampilan adalah sebuah aspek pending dalam kegiatan belajar mengajar. Artikel ini membahas tentang bagaimana penerapan media mind mapping sebagai alat agar meningkatkan kreativitas dan keterampilan peserta didik kelas VII D di SMP Negeri 6 Ponorogo. Penelitian ini menggunakan pendekatan kualitatif dengan cara observasi di kelas. Hasil penelitian ini menunjukkan bahwa penggunaan mind mapping dalam kegiatan belajar mengajar dikalas memang dapat meningkatkan kreativitas dan keterampilan peserta didik. Para peserta didik yang terlibat ketika penggunaan media mind mapping ini menunjukkan peningkatan dalam memahami dan mengelola informasi dengan lebih baik, selain itu juga mengembangkan ide-ide yang kreatif. Hal ini membuat potensi positif mind mapping di dalam kegiatan belajar mengajar di kelas. Penggunaan media mind mapping dapat digunakan sebagai strategi yang efektif untuk meningkatkan kreativitas dan keterampilan peserta didik. Media tersebut memberikan kontribusi pada pengembangan metode pembelajaran yang inovatif dan sangat berguna di lingkungan sekolah.
Ocean’s 14: Mixed sustainable marine development in the European Union
Authors: Spenger Christopher , Gonzatti Ignacio Saldivia , Kröger Lennard , Fleet Christopher Robin , Voss Rudi , Rickels Wilfried 
Published: March 2024

Abstract
The European Union's marine policy and strategy for sustainable blue growth combines environmental and economic objectives, as set out in Sustainable Development Goal (SDG) 14. Efficient marine policy design requires information on the status and evolution of ocean health at the country level, including information on the extent to which strong sustainable development (i.e., balanced development across socio-economic and environmental dimensions) is being achieved. Here, we provide a comprehensive assessment of progress towards SDG 14 for 15 EU coastal countries in the Baltic, North, and Atlantic Seas, covering the period 2012-2022. To this end, we develop a new set of indicators to improve the coverage of the SDG targets. The EU is achieving sustainable marine development, but not comprehensively in all countries. While seven countries achieved sustainable development under both weak and strong sustainability, seven countries developed only under weak sustainability, and one country made no progress under either concept.
Differences in the Quality of Life of the Rural Population between Regions and Ways to Overcome them
Authors: Petrikov A. V. 
Published: March 2024

An important condition for economic growth in the agro-industrial complex and the rural economy is the mitigation of differentiation between regions in the level and quality of life of the rural population. Significant level of differentiation between regions prevents the formation of a single economic space of the country, including the creation of a single agrifood market, rational specialization of regions, generates excessive migration flows of the population, which negatively affects the staffing of agriculture and the entire rural economy. The article analyzes the level of differentiation between regions for such important indicators of the quality of life of the rural population as the total income of a household member, the unemployment rate, the share of the poor population, the share of comfortable housing, and life expectancy. It is concluded that there are significant territorial differences, as well as an increase in interregional differentiation for 2016–2021/22 for most of these indicators. Measures to overcome territorial differences are substantiated, including the wider use of a normative approach in rural policy, improving the mechanisms for the participation of constituent entities of the Russian Federation in state rural development programs, and state support for depressed rural regions.
Assessment of Innovative Development of Regions in the Context of Structural Transformation of the Economy
Authors: Lyashenko E. A. , Zhukovskii A. D. 
Published: March 2024

Today, the development of economic systems is taking place in an era of transformations that lead to the formation of new economic models. Russia is no exception here. The main impetus for the transformation processes in our country’s economy was the anti-Russian sanctions directly related to political events from the United States, Canada, European and other countries. All this poses threats to Russia’s political, economic and social security. Therefore, in modern realities caused by sanctions pressure, the key strategic task of overcoming crisis phenomena and shocks is the formation of a new industrialization based on domestic innovations. It is important to assess the innovative potential of the regions in order to further develop management decisions. The authors proposed and tested a methodological approach to assessing the level of innovative development of the subjects of the Russian Federation. The algorithm of this approach includes sampling official statistical data, determining localization coefficients, averaging and evaluating their dynamics. It was determined that in the period 2011-2022, less than a third of Russian regions improved their economic efficiency and innovation localization indicators. The leading regions of innovative development have a high level of localization of the studied characteristics. Regions characterized by low localization coefficients are traditionally lagging behind and have low indicators of economic, including innovative development. The problems of innovative development of regions under the influence of transformational processes are very multidimensional, therefore, in the limited space of this article, only an assessment of innovative development based on the author’s methodological approach is given.
BUREAUCRACY REFORM IN TAX SERVICES ONLINE IN THE KUPANG CITY
Authors: Adam Cataryn Vlantyna , Seran Sirilus , Kerihi Anthon Simon Yohanis , Libing Zet Sony 
Published: March 2024

This study examined the factors behind the advancement of bureaucratic reform in online tax services at the Regional Technical Service Unit (RTSU) of Regional Income for the City of Kupang, or Unit Pelaksana Teknis Daerah (UPTD). This investigation employed a qualitative method with an interpretive paradigm. This analysis discovered five factors from the internal and external dimensions of the bureaucracy that affect the quality of online tax revenue. From internal sources, this article found that the lack of leadership commitment, the weak capacity and professionalism of implementing actors, and the lack of budget allocations contributed to the weak progress of bureaucratic reform in online tax services. Meanwhile, on the external dimension, this study uncovered that the lack of public pressure and the existence of business practices in the service process contributed to strengthening the low quality of online tax services. To increase the quality of online tax services, the government must ensure that the public managers appointed firmly commit to the bureaucratic reform agenda. Additionally, the government needs to increase front-line implementers' professionalism and capacity to learn information technology. Finally, the government needs to minimize the occurrence of business practices in the process of public services.
Cerebral Microbleeds in Different Brain Regions and Their Associations With the Digital Clock-Drawing Test: Secondary Analysis of the Framingham Heart Study
Authors: Akhter-Khan Samia C , Tao Qiushan , Ang Ting Fang Alvin , Karjadi Cody , Itchapurapu Indira Swetha , Libon David J , Alosco Michael , Mez Jesse , Qiu Wei Qiao , Au Rhoda 
Published: March 2024

Background
Cerebral microbleeds (CMB) increase the risk for Alzheimer disease. Current neuroimaging methods that are used to detect CMB are costly and not always accessible.

Objective
This study aimed to explore whether the digital clock-drawing test (DCT) may provide a behavioral indicator of CMB.

Methods
In this study, we analyzed data from participants in the Framingham Heart Study offspring cohort who underwent both brain magnetic resonance imaging scans (Siemens 1.5T, Siemens Healthcare Private Limited; T2*-GRE weighted sequences) for CMB diagnosis and the DCT as a predictor. Additionally, paper-based clock-drawing tests were also collected during the DCT. Individuals with a history of dementia or stroke were excluded. Robust multivariable linear regression models were used to examine the association between DCT facet scores with CMB prevalence, adjusting for relevant covariates. Receiver operating characteristic (ROC) curve analyses were used to evaluate DCT facet scores as predictors of CMB prevalence. Sensitivity analyses were conducted by further including participants with stroke and dementia.

Results
The study sample consisted of 1020 (n=585, 57.35% female) individuals aged 45 years and older (mean 72, SD 7.9 years). Among them, 64 (6.27%) participants exhibited CMB, comprising 46 with lobar-only, 11 with deep-only, and 7 with mixed (lobar+deep) CMB. Individuals with CMB tended to be older and had a higher prevalence of mild cognitive impairment and higher white matter hyperintensities compared to those without CMB (P<.05). While CMB were not associated with the paper-based clock-drawing test, participants with CMB had a lower overall DCT score (CMB: mean 68, SD 23 vs non-CMB: mean 76, SD 20; P=.009) in the univariate comparison. In the robust multiple regression model adjusted for covariates, deep CMB were significantly associated with lower scores on the drawing efficiency (β=–0.65, 95% CI –1.15 to –0.15; P=.01) and simple motor (β=–0.86, 95% CI –1.43 to –0.30; P=.003) domains of the command DCT. In the ROC curve analysis, DCT facets discriminated between no CMB and the CMB subtypes. The area under the ROC curve was 0.76 (95% CI 0.69-0.83) for lobar CMB, 0.88 (95% CI 0.78-0.98) for deep CMB, and 0.98 (95% CI 0.96-1.00) for mixed CMB, where the area under the ROC curve value nearing 1 indicated an accurate model.

Conclusions
The study indicates a significant association between CMB, especially deep and mixed types, and reduced performance in drawing efficiency and motor skills as assessed by the DCT. This highlights the potential of the DCT for early detection of CMB and their subtypes, providing a reliable alternative for cognitive assessment and making it a valuable tool for primary care screening before neuroimaging referral.
Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection
Authors: Khademi Sedigh , Palmer Christopher , Javed Muhammad , Dimaguila Gerardo Luis , Clothier Hazel , Buttery Jim , Black Jim 
Published: March 2024

Background
Collecting information on adverse events following immunization from as many sources as possible is critical for promptly identifying potential safety concerns and taking appropriate actions. Febrile convulsions are recognized as an important potential reaction to vaccination in children aged <6 years.

Objective
The primary aim of this study was to evaluate the performance of natural language processing techniques and machine learning (ML) models for the rapid detection of febrile convulsion presentations in emergency departments (EDs), especially with respect to the minimum training data requirements to obtain optimum model performance. In addition, we examined the deployment requirements for a ML model to perform real-time monitoring of ED triage notes.

Methods
We developed a pattern matching approach as a baseline and evaluated ML models for the classification of febrile convulsions in ED triage notes to determine both their training requirements and their effectiveness in detecting febrile convulsions. We measured their performance during training and then compared the deployed models’ result on new incoming ED data.

Results
Although the best standard neural networks had acceptable performance and were low-resource models, transformer-based models outperformed them substantially, justifying their ongoing deployment.

Conclusions
Using natural language processing, particularly with the use of large language models, offers significant advantages in syndromic surveillance. Large language models make highly effective classifiers, and their text generation capacity can be used to enhance the quality and diversity of training data.
Fostering critical thinking: Designing problem-based learning student worksheet on environmental change topic
Authors: Fadilah Nurul , Suhartini S. , Aloysius Suyitno 
Published: March 2024

The growing awareness of the increasingly complex environmental changes requires an educational approach that fosters critical thinking. Through the implementation of PBL, students will gain a deeper understanding and develop an attitude of environmental care, particularly towards their surroundings. This study aims to evaluate the effectiveness of PBL-based student worksheets on environmental change material to train critical thinking skills based on the completeness of learning outcomes and student responses. This research employs the 4D model of development, encompassing the stages of defining, designing, developing, and disseminating. Nonetheless, this study is confined to the third stage of development. The validation used includes material validation media validation. The data at the development stage is sourced from expert validators and subsequently analyzed using the descriptive analysis method. The validation results affirm that the developed worksheet is deemed suitable for implementation. Therefore, it is highly recommended to implement the learning process using this worksheet. Its utilization can significantly contribute to fostering student competency levels. Furthermore, disseminating its benefits widely would further amplify its positive impact across various educational settings.
PENGEMBANGAN APLIKASI PENJUALAN FURNITURE BERBASIS CUSTOMER RELATIONSHIP MANAJEMENT (CRM) PADA PLATFORM ANDROID
Authors: Fajarwibowo Dhimas , Muhimmah Izzati 
Published: March 2024

Perkembangan tren desain interior, gaya hidup modern, dan peningkatan kesadaran konsumen tentang keindahan dan kenyamanan rumah telah mendorong permintaan yang terus meningkat akan produk furnitur berkualitas. Dalam konteks ini, perusahaan furnitur dituntut untuk tidak hanya menghasilkan produk yang menarik, tetapi juga memberikan pelayanan yang unggul dan bersifat personal kepada pelanggan. Untuk mengatasi berbagai tantangan dalam industri furniture tersebut, pada penelitan ini dikembankan aplikasi penjualan furniture berbasis CRM pada platform Android. Aplikasi diharapkan dapat menjadi solusi untuk meningkatkan layanan ke pelanggan. Fitur yang disediakan mencakup tampilan info stok furniture berikut harga, fitur pencarian, fitur pesan furniture, transaksi, riwayat pembelian, fitur untuk analisis preferensi pelanggan berdasarkan kriteria jenis produk, dan pengiriman. Metoda yang digunakan mencakup studi literature, survey lokasi dimana aplikasi akan dimanfaatkan, analisis kebutuhan, perancangan aplikasi, pengembangan aplikasi, implementasi dan pengujian. Hasil pengujian fungsionalitas menunjukan bahwa aplikasi telah berfungsi seperti yang diharapkan.
Image Analysis and Detection of Olive Leaf Diseases Using Recurrent Neural Networks
Authors: Kareem Mohsin Raad 
Published: March 2024

The widespread adoption of DL has led to a rise in academic interest in image recognition approaches, enabling applications such as automated image classification and the detection of plant diseases. The world's largest producer of olives is Morocco. Plant health might be harmed by illnesses, which therefore affects its development. Numerous illnesses affecting olive leaves specifically target crop growth rate. The objective of this research is to create deep RNNs to identify olive plant illnesses using a collection of leaf images, collected from various sources (Disease note The peacock eye falls on olive trees, Field Guide to Olive Pests, Diseases and Disorders in Australia. Thus, this technique is the best RNN model and is employed in further applications to enhance diagnostic measurements regarding olive leaves and other plant leaves.
Study of Sky Radio Frequency Interference Background Level Behavior During the Partial Solar Eclips on 25 Oct. 2022 at The Baghdad University Location
Authors: Kahdim Zina Fadel , Abood Kamal M. 
Published: March 2024

Radiofrequency interference (RFI) describes the weakening of radio astronomy transmissions caused by man-made radio signal noise in radio telescope observation indicates the level of radio frequency noise in the sky at all times, regardless of any astronomical sources. This noise is affected by various sources, including Earth's atmosphere or solar activity and all communications equipment operating near the radio telescope. In this study, the background noise which includes RFI was measured using HSA2000 series receiver spectrum analyzer, which connected with two dipole antennas in different frequency bands (15-80 MHz) low band antenna, and (110-240 MHz) high band antenna during the partial solar eclipse in Baghdad on October 25, 2022, at (12:00-15:00), as a simple radio telescope to observe the radio astronomical background level in the sky. It is clear that the average amount of RFI level during a partial solar eclipse (-83.249 dBm for LBA decreased by about (0.93) from the value on a normal day (-77.495 dBm). And For HBA -84.711 dBm decreased by about (0.85) from the value on a normal day (-72.784 dBm). Also, it was noticed that these amounts are approximately equal to the RFI level at night (-82.352 dBm for LBA and -82.739 dBm for HBA). It is (0.98) for LBA and (0.97) for HBA, respectively. This research confirms that despite the short duration of the partial eclipse, the average value during the partial eclipse period is close to the average values during the night period due to the decrease in the electronic density of the ionosphere, especially at low frequencies, and the FRI of ground disturbances as a result of the activities of human from the surrounding the monitoring area. also, found that at the monitoring point, there is a good relationship between the time of the maximum partial eclipse and the peaks of signal gain strength.
Web Destekli Bilgi Okuryazarlığı Eğitiminin Etkinliğinin Belirlenmesi: Hemşirelik Öğrencileri Üzerinde Randomize Olmayan Kontrollü Çalışma
Authors: Gedikçi Öndoğan Ayşe , Küçükoğlu Sibel 
Published: March 2024

Amaç: Bu çalışma ile hemşirelik bölümünde öğrenim gören öğrencilerinin bilgi okuryazarlığı becerilerindeki zorlanma düzeylerinin belirlenmesi ve web uygulamalarıyla desteklenen bir öğretim programının öğrencilerin bilgi okuryazarlığı becerileri üzerindeki etkisinin test edilmesi amaçlandı.
Yöntem: Çalışma, bir devlet üniversitesinin hemşirelik bölümünde öğrenim gören 3. sınıf öğrencileri üzerinde randomize olmayan kontrollü çalışma deseninde yürütüldü. Deney grubunda yer alan öğrencilere (n=38) araştırmacılar tarafından hazırlanan öğretim programı web üzerinden uygulamalar eşliğinde 14 haftalık bilgi okuryazarlığı eğitimi verildi. Kontrol grubunda yer alan öğrencilere (n=38) ise bu eğitim verilmedi. Ön test ve son test için veri toplama aracı olarak Tanıtıcı Bilgi Formu ve Bilgi Okuryazarlığı Ölçeği kullanıldı. Verilerin analizi SPSS 21 içerisinde Ki-kare testi, bağımsız gruplarda t testi, Paired T testi, karma desen ANOVA, Cohen’s d etki büyüklüğü ve Parsiyel eta kare kullanılarak yapıldı.
Bulgular: Araştırma sonucunda öğrencilerin Bilgi Okuryazarlığı Ölçeği son test puan ortalamaları açısından deney grubu lehine anlamlı farklılık olduğu (p