bluuebunny/crossref_metadata_2025_split huggingface dataset:
CYTOKINES AND PROTEINS OF THE EXTRACELLULAR MATRIX IN THE BLOOD OF RATS OF DIFFERENT AGES AFTER FILLING THE DEFECT IN THE FEMORAL METAPHYSIS WITH ALLOGENEIC BONE IMPLANTS SATURATED WITH MESENCHYMAL STEM CELLS
Authors: Vorontsov Petro , Leontieva Frida , Tulyakov Vladyslav , Husakov Igor 
Published: October 2023

Mesenchymal stem cells (MSCs) are used for the improvement of the repair of allografts.
Aim. Based on the analysis of cytokines and proteins of the extracellular matrix in the blood serum of laboratory rats, to evaluate the course of metabolic processes after filling a defect in the femoral metaphysis with allogeneic bone implants saturated with MSCs.
Material and Methods. On the model of a transcortical defect in the metaphysis of the femur, the content in the blood serum of 3 and 12 months white rats of interleukin-1 (IL-1), interleukin-6 (IL-6), transforming growth factor-b (TGF-b), osteocalcin (OC) and osteopontin (OP) on the 14th, 28th and 90 days was investigated.
Results and Discussion. Use of MSCs in 3-month-old rats led to an increase in IL-1 concentration: 0.300(0.269; 0.329, 0.308(0.273; 0.339), 0.295(0.271; 0.319) pg/ml of IL-1 for the 14th, 28th and 90th days, respectively, which higher than the level of rats without MSCs by 1.69 (p=0.008), 1.37 (p=0.008) and 1.46 (p=0.008) times, respectively. For 12-month-old rats: IL-1 (0.414(0.387;0.437), 0.426(0.389; 0.448) and 0.407(0.368;0.423) pg/ml on the 14th, 28th and 90th days, respectively), which exceeded the data of rats without MSCs in 1.69 (p=0.008); 1.38 (p=0.008) and 1.46 times (p=0.008). In the blood serum of rats with MSCs TGF-b: 3-month: - 1.826(1.637;2.015), 1.379(1.247; 1.568) and 1.675(1.476;1.893) ng/ml on the 14th, 28th and 90th days, respectively, which was 1.57 (p=0.008), 1.98 (p=0.008) and 1.51 (p=0.008) times less than the data of the comparison group; 12-month-old - 1.976(1.749; 2.234), 1.492(1.218;1.734) and 1.813(1.636;2.028) ng/ml on the 14th, 28th and 90th days, respectively, which is less than the level of rats without MSCs of 1.50 ( p=0.008), 1.92 (p=0.008) and 1.51 (p=0.008) times. When introducing MSCs OP: 3-month-old rats - 13.55(12.90; 14.04), 14.14(13.43;14.87) and 14.12(13.75;14.77) ng/ml, which was higher than in rats without MSCs in 1.11 (p=0.008), 1.11 (p=0.008) and 1.17 (p=0.008) times; 12-month-old - 15.26(14.70; 15.81), 16.38(15.88; 16.91) and 16.06(15.53; 16.67) ng/ml, which is more than the comparison group 1.11 (p=0.008), 1.16 (p=0.008) and 1.22 (p=0.008) times;
Conclusions. Saturation of allografts with MSCs led to an increase in biochemical markers of inflammation from the 14th day. Bone remodeling in rats with MSCs was characterized by lower activity. In 12-month-old rats in comparison with 3-month-old animals we noted more active inflammation, with a slowed activity in bone remodeling.
The Implications of The Tanzania New Mining Legislation in Enhancing Revenue: A Case of Geita Gold Mine.
Authors: Mwesiga T. R. , Kaswamila A. L. , Mwakipesile A. E. 
Published: October 2023

Purpose: The purpose of this study is to investigate the implications of these reforms from a revenue collection perspective in Geita District using Geita Gold Mine Limited (GGML) as a case study.
Design/Methodology/Approach: This study utilizes a mixed-method approach, by using both qualitative and quantitative approaches. The study population consisted of individuals from sampled households in six wards around GGML with a sample size of 384 respondents. The study used both stratified and simple random sampling methods in selecting respondents. The qualitative data were collected through in-depth interviews, focus group discussion and documentary analysis while the quantitative data were collected through the survey method. Qualitative data were analysed using content analysis and quantitative data from households were analysed using descriptive statistics.
Research Implications/Limitations: This study is limited to GGML and Geita District only, which may not fully capture the diverse range of other mining companies operating outside the district within Tanzania.
Findings: Study findings indicated that the mining legislation helped to improve the quality of institutions as well as resource governance. For instance, due to improvements in resource governance such as the increase in royalty and mining supervision the revenue from mining activities almost tripled to a total of TZS 664 billion as compared to TZS 196 billion that was collected four years back from 2017.
Practical Implications: The findings are expected to have a significant on improving the traceability of gold production and reporting their activities more transparently. Additionally, reforms can lead to more efficient and effective collection of royalties, taxes, and fees related to gold mining operations, resulting in increased government revenue
Social Implications: The social implications of this research are essential, as the increase in mining revenue through taxes, royalties, service levies and other fees can help to improve social services such as education and health services. The mining sector can also contribute to the provision of employment to host communities which has a direct impact on improving social welfare.
Originality/Value: The novelty of this research lies in its holistic and sector-specific examination of revenue collection reforms in the gold mining industry, considering economic, environmental, social, and governance dimensions. It offers a comprehensive understanding of how reforms in this critical sector can impact both individual nations and the global resource landscape.
Lithium-ion Battery Charger for BEV Applications Based on MF Full-bridge DC-DC Converter
Authors: ANTO BUDHI , PRATAMA DAFA BAGUS 
Published: October 2023

ABSTRAKArtikel ini memaparkan rancang bangun suatu alat pengisi muatan baterai (battery charger) kendaraan listrik jenis lithium-ion. Baterai yang digunakan berkapasitas 20-Ah dengan tegangan pengenal 48-V. Rangkaian battery charger menggunakan susunan kombinasi dari konverter AC-DC topologi penyearah satufasa jembatan dioda dan konverter DC-DC topologi jembatan-penuh yang dioperasikan pada frekuensi menengah (MF) yaitu sebesar 1 kHz. Rangkaian konverter jembatan-penuh dikendalikan oleh IC SG3526 yang mengatur lebar pulsa sinyal PWM yang diberikan kepada keempat MOSFET yang menyusun konverter tersebut. Karena dioperasikan pada frekuensi 1 kHz, konverter jembatan-penuh dapat menggunakan transformator yang intinya berbahan baja silikon berbentuk pelat tipis terlaminasi atau lebih dikenal dengan inti pelat E-I. Pengujian fungsional alat dilakukan dengan mengisi muatan baterai pada keadaan kapasitas awal 50% hingga penuh, menggunakan metode arus pengisian tetap sebesar 5-A. Hasil pengujian memperlihatkan bahwa diperlukan waktu 80 menit untuk mengisi baterai hingga penuh pada kondisi tersebut.Kata kunci: alat pengisi muatan baterai lithium-ion, kendaraan listrik, full-bridge DC-DC converter, frekuensi menengah, transformator inti baja silikon ABSTRACTThis manuscript describes the designing and making of a lithium-ion battery charger for battery electric vehicle applications. The battery has a capacity of 20-Ah with 48-V nominal voltage. The battery charger circuit uses the combination of an AC-DC converter in the form of a single-phase diode bridge rectifier and a full-bridge DC-DC converter, operating in medium frequency (MF) at 1 kHz. The full-bridge converter is controlled by a PWM controller SG3526 that sends its output to the 4 MOSFETs that built the converter. Due to operation at frequency of 1 kHz, the transformer’s core can use the laminated silicon steel sheet that is known as the E-I core. The battery is charged using the constant-current method by maintaining the charging current at a constant value. The functional test of the battery shows that by using 5-A constant current charging, the battery takes 80 minutes to its full condition from 50% capacity at the beginning.Keywords: lithium-ion battery charger, battery electric vehicles, medium frequency full-bridge DC-DC converter, silicon steel-core transformer
Sistem Pemantauan dan Kendali Penyiraman pada Budi Daya Buah Jambu Biji Kristal berbasis Internet of Things
Authors: YUDATAMA ARBI , RISMAWAN TEDY , SUHARDI SUHARDI 
Published: October 2023

ABSTRAKPenelitian ini bertujuan membangun sistem Internet of Things (IoT) untuk pengendalian penyiraman otomatis pada perkebunan Jambu Biji Kristal di Pondok Paman Petani, Pontianak. Sistem ini memantau kelembaban tanah dan mengatur kendali penyiraman melalui aplikasi Android. Sistem ini diaplikasikan pada dua tanaman Jambu Biji Kristal. Hasil eksperimen menunjukkan sensor resistive soil moisture memiliki error rata-rata 0,97% dan 0,98% untuk dua tanaman Jambu Biji Kristal. Waktu respon katup solenoid valve pada penyiraman tanaman pertama adalah 1,35 detik saat terbuka dan 1,33 detik saat tertutup. Pada tanaman kedua, waktu respon katup saat terbuka adalah 1,41 detik dan saat tertutup adalah 1,32 detik. Waktu respon pompa air untuk dinyalakan adalah 1,38 detik dan untuk dimatikan adalah 1,31 detik. Dari hasil pengujian, sistem yang diusulkan dapat digunakan untuk memantau kelembaban tanah dan mengatur penyiraman.Kata kunci: Jambu Biji Kristal, Penyiraman, Internet of Things, Android ABSTRACTThis research aims to develop an Internet of Things (IoT) system for automated irrigation control in the Crystal Seed Guava plantation at Pondok Paman Petani, Pontianak. The system monitors soil moisture and regulates irrigation control through an Android application. This system was applied to two Crystal Seed Guava plants. The experimental outcomes reveal that the resistive soil moisture sensor has an average error of 0.97% and 0.98% for two Crystal Seed Guava plants, respectively. The solenoid valve response time for the first plant during irrigation is 1.35 seconds when open and 1.33 seconds when closed. For the second plant, the valve response time when open is 1.41 seconds and when closed is 1.32 seconds. The water pump activation response time is 1.38 seconds, while the deactivation response time is 1.31 seconds. From the test results, the proposed system can be used to monitor soil moisture and regulate watering.Keywords: Crystal Seed Guava, Irrigation, Internet of Things, Android
Estimasi State of Charge pada Baterai Lead Acid menggunakan Elman Recurrent Neural Network
Authors: RAKHMAWATI RENNY , SUTEDJO SUTEDJO , OKTAVIANI FITROTIN NAFISA , IRIANTO IRIANTO , YANARATRI DIAH SEPTI , ADILA AHMAD FIRYAL 
Published: October 2023

ABSTRAKPenggunaan panel surya sebagai sumber energi terbarukan membutuhkan baterai sebagai tempat penyimpanan energi. Penggunaan baterai secara terus menerus, dapat menyebabkan pengurangan kapasitas dan penurunan performa. Untuk mengatasi permasalahan tersebut, diperlukan sistem estimasi nilai State of Charge (SOC) pada baterai yang berfungsi untuk mengontrol kondisi charge, agar performa baterai tetap optimal. Pada penelitian dikembangan suatu sistem estimasi SOC pada baterai jenis lead acid, dengan metode algoritma Elman Recurrent Neural Network (ERNN). Keunggulan yang terkait dengan metode ERNN meliputi proses iterasi menjadi lebih cepat, peningkatan kecepatan pembaruan parameter, dan pencapaian konvergensi yang lebih cepat. Hasil dari penelitian estimasi SOC pada baterai lead acid 12V, 12Ah dengan menggunakan algoritma ERNN sebesar 0.101% sedangkan dengan algoritma Feedforward Backpropagation sebesar 0.767%. Sehingga dapat disimpulkan bahwa algoritma ERNN lebih efisien dalam mengestimasi nilai SOC pada baterai lead acid.Kata kunci: Baterai, Elman Recurrent Neural Network, Panel Surya, State of Charge; Lead Acid ABSTRACTUsing solar panels as a renewable energy source requires batteries as energy storage. Continuous use of batteries can result in reduced capacity and performance degradation. Based on these problems, a State of Charge (SOC) estimation system is needed for the battery to control charge conditions so that battery performance remains optimal. In this research, a SOC estimation system was developed for lead acid battery using the Elman Recurrent Neural Network (ERNN) algorithm. The advantage of the ERNN method is that the iteration process is faster, the parameter update speed is increased, and convergence is faster. The results of the SOC estimation for a 12V, 12Ah lead acid battery using the ERNN algorithm were 0.101%, while the Feedforward Backpropagation algorithm resulted in 0.767%. The ERNN algorithm is more efficient in estimating the SOC value of a lead acid battery.Keywords: Battery, Elman Recurrent Neural Network, Solar Panel, State of Charge, Lead Acid
Sistem Pintu Cerdas dengan QR Code berbasis Internet of Things sebagai Penerapan Edge Computing
Authors: HAKIM MADAJABBAR PALAPA , RISTIAN URAY , SUHARDI SUHARDI 
Published: October 2023

ABSTRAKSistem pintu cerdas telah merevolusi kontrol akses dengan metode seperti pengenalan sidik jari, kata sandi, dan QR Code. Namun, tantangan seperti ketergantungan pada internet, keterlambatan pengiriman data, dan pembatasan penjadwalan tetap ada. Penelitian ini menerapkan Edge Computing pada sistem pintu cerdas berbasis IoT dengan QR Code dan menambahkan fitur penjadwalan. Tujuannya adalah meningkatkan respons, kinerja, dan fleksibilitas dengan meminimalkan keterlambatan dan pembatasan jaringan, serta memungkinkan akses pengguna sesuai jadwal yang ditentukan. Hasil pengujian menunjukkan variasi waktu akses dan status pintu dalam kondisi normal dan offline, dengan rata-rata keterlambatan 3,35 detik (normal) dan 3,01 detik (offline). Penelitian inimemiliki potensi untuk pengembangan sistem pintu cerdas yang lebih efisien dan responsif menggunakan Edge Computing, memberikan kontribusi pada sistem keamanan canggih dan terpercaya dengan kemampuan penjadwalan terintegrasi di berbagai lingkungan.Kata kunci: Edge Computing, Sistem Pintu Cerdas, QR Code, Internet of Things ABSTRACTSmart door systems have revolutionized access control with methods like fingerprint recognition, passwords, and QR Codes. However, challenges such as internet dependency, data transmission delays, and limited scheduling persist. This study implements Edge Computing in an IoT-based QR Code smart door system and introduces a scheduling feature. The objective is to enhance responsiveness, performance, and flexibility by minimizing delays and network limitations, while allowing user access based on predetermined schedules. Test results show variable access times and door statuses under normal and offline conditions, with average delays of 3.35 seconds (normal) and 3.01 seconds (offline). This research offers potential for a more efficient and responsive smart door system using Edge Computing, contributing to advanced and reliable security systems with integrated scheduling capabilities across diverse environments.Keywords: Edge Computing, Smart Door System, QR Code, Internet of Things
Klasifikasi Jajanan Tradisional Indonesia berbasis Deep Learning dan Metode Transfer Learning
Authors: FATURRAHMAN RAIHAN , HARIYANI YULI SUN , HADIYOSO SUGONDO 
Published: October 2023

ABSTRAKMakanan jajanan tradisional Indonesia telah menjadi warisan budaya yang berharga dan penting. Namun di tengah kemajuan zaman, sebagian masyarakat menganggapnya ketinggalan dan beralih ke makanan modern. Sebagai bagian dari upaya untuk melestarikan dan membantu masyarakat terutama kaum muda untuk mengenali ragam jajanan tradisional Indonesia, maka penelitian ini bertujuan untuk mengklasifikasi jenis jajanan tradisional Indonesia secara otomatis berdasarkan citra dengan menggunakan arsitektur deep learning. Dalam penelitian ini, dilakukan penggunaan metode transfer learning untuk melatih ulang basenetwork, sehingga mampu mengenali citra jajanan tradisional Indonesia. Di antara tiga base network yang dilatih dan diuji, disimpulkan bahwa dengan menggunakan base-network mobilenetV2 menghasilkan akurasi uji sebesar 98%, tertinggi dibandingkan dengan menggunakan ResNet50 dan VGG16 yang menghasilkan akurasi uji 97.33% dan 93.33%.Kata kunci: jajanan tradisional indonesia, klasifikasi, deep learning, transfer learning ABSTRACTTraditional Indonesian snacks have become valuable and important cultural heritage. However, amidst the progress of time, some people consider them outdated and switch to modern foods. As part of an effort to preserve and help the community, especially the younger generation, to recognize various traditional Indonesian snacks, this research aims to automatically classify types of traditional Indonesian snacks based on images using deep learning architecture. In this study, transfer learning method was employed to retrain the base-network, enabling it to recognize images of traditional Indonesian snacks. Among the three base networks trained and tested, it was concluded that using the MobileNetV2 base-network resulted in a test accuracy of 98%, the highest compared to using ResNet50 and VGG16, which achieved test accuracies of 97.33% and 93.33% respectively.Keywords: Indoensian traditional snack, classification, deep learning, transfer learning
Analisis mutu fisik, mikrobiologi, dan kandungan metabolit sekunder serbuk instan jamu kunyit asam
Authors: Khasanah Kharismatul , Rusmalina Siska , Loso Loso , Meilisa Selvia , Hadi Nafis Daniel 
Published: October 2023

The lifestyle “back to nature” is growing and in demand by the public. Herbal turmeric tamarind is a herbal product often consumed by the public to reduce pain during menstruation (dysmenorrhea). This study aimed to verify the secondary metabolites in the instant herbal turmeric tamarind powder developed by the research team using the thin-layer chromatography method. TLC was identified by extracting instant powder of tamarind turmeric herbs using ethanol, methanol, distilled water, chloroform, ethyl acetate, and n-hexane solvents. The stationary phase used is a 60 GF ₂₅₄ silica plate and the detection of compounds by UV₂₅₄, UV₃₆₆, and chemical reagents. Identification results were analyzed descriptively by looking at the stains on the plates, calculating the Rf value of each compound, and carrying out a comparative analysis of the literature with reference standards. The results showed that the processed tamarind herbal turmeric instant powder sample of the research team positively contained alkaloids, flavonoids, tannins, steroids, and curcumin characterized by the presence of colored spots, and the resulting Rf values ​​were the same or close to those of the sample and the standard for each compound.
Predictors of Acute Kidney Injury in Critically Ill Patient at Intensive Cardiac Care Unit
Authors: Jauhari Haris , Bagaswoto Hendry Purnasidha , Setianto Budi Yuli 
Published: November 2023

Background: Acute kidney injury (AKI) occurs frequently in the intensive cardiac care unit and recognized as a heterogeneous syndrome with variable etiology and clinical presentation that affects acute morbidity and mortality. AKI needs to be identified early and underlying causes must be treated
Aim: The aim of this study is to identify the risk factors of AKI in critically ill patients at ICCU Sardjito General Hospital.
Method: We performed a retrospective analysis of patient registry from Sardjito Cardiovascular Intensive Care (SCIENCE) between January 2021 and December 2021. This registry provided demographic data, risk factors, comorbidities, laboratory findings and survival outcomes. The KDIGO criteria were used to define AKI characterized by an increase in serum creatinine more or equal to 0.3 mg/dL in 48 hours, or an increase in serum creatinine more or equal to 1.5 times than previous value, or urine volume less than 0.5 mL/kg BW/hour for 6 hours. Univariate and multivariate data analyses were carried out.
Results: This study included 428 patients with an incidence of AKI was 14,3 %. Univariate analysis showed that AKI was related to diabetes, acute heart failure, sepsis, APACHE score, SAPS, Sardjito score, MCARS, hemoglobin, leukocyte, and plasma albumin concentration. Furthermore, we did multivariate analysis and showed the independent predictor of AKI at ICCU admission is acute heart failure (OR 3.90; 95% CI 1.95–7.77; p <0.001), sepsis (OR 3.02; 95% CI 1.03-8.90; p 0.045) and high APACHE II score (OR 0.33; 95% CI 0.13-0.80; p 0.015).
Conclusions: Acute heart failure, sepsis and high APACHE score at admission is independent predictors of AKI among critically ill in ICCU Sardjito General Hospital. The results of this study may contribute to the implementation of targeted therapies.
PERENCANAAN JALAN PERKERASAN KAKU (RIGID PAVEMENT) MENGGUNAKAN METODE AASHTO 1993 DI JL.BANGKINGAN–JLKEBRAON KOTA SURABAYA
Authors: Nurrahmat Ean Fadhillah , Siswoyo Siswoyo 
Published: November 2023

Abstrak : Perencanaan pembangunan Ruas Jalan Bangkingan – Jalan Kebraon merupakan jalan alternatif dari Kota Baru Driyorejo menuju ke Karang Pilang Kota Surabaya. Perencanaan pembangunan tersebut mengakibatkan terjadinya peningkatan volume kendaraan dan diikuti pula oleh penyempitan beberapa ruas jalan. Selain itu peningkatan volume kendaraan dapat terjadi seiring dengan pertambahan penduduk dan perkembangan pembangunan pada suatu wilayah. Sehingga dapat mengakibatkan kelebihan kapasitas jalan yang berakibat pada kerusakan jalan penting dilakukan perencanaan peningkatan jalan berupa perkerasan kaku di ruas Jalan Bangkingan – Jalan Kebraon agar mampu menahan beban dan umur rencana jalan menjadi lebih lama. Pada perencanaan rigid pavement ini digunakan metode AASHTO 1993.Berdasarkan dari perhitungan analisa kapasitas jalan direncanakan jalan 2/2 TT dengan lebar jalan 10 meter. Nilai Derajat Kejenuhan (DS) dari tahun 2021-2042 berada pada nilai lebih kecil dari 0,85 yang mampu menampung arus lalu lintas hingga 21 tahun, sedangkan untuk tahun 2043-2061 diketahui nilai DS lebih besar dari 0,85 yang berarti tidak dapat menampung arus lalu lintas hingga umur rencana. Maka disimpulkan perlu pengurangan kendaraan dengan melakukan pembatasan jam padat untuk kendaraan truk 2 sumbu dan truk 3 sumbu. Hasil perhitungan lain mengenai tebal perkerasan kaku didapatkan tebal perkerasan 32 cm dengan lapisan base 15 cm. Sementara, untuk sambungan dowel berdiameter 38 mm dengan panjang 450 mm, dan jarak 300 mm. Sambungan memanjang batang pengikat tie bars berdiameter 13 mm dengan panjang 650 mm dengan jarak batang pengikat 600 mm. Tulangan memanjang diameter 12-250 mm. Tulangan melintang diameter 12-250 mm. Berdasarkan hasil perhitungan perencanaan perkerasan kaku diketahui anggaran pembangunan sebesar Rp. 73.215.609.000,00 (Tujuh Puluh Tiga Milyar Dua Ratus Lima Belas Juta Enam Ratus Sembilan Ribu Rupiah) Kata Kunci : Perkerasan Kaku, PKJI 2014, metode AASHTO 1993
PARA UNA REFUNDACIÓN EPISTEMOLÓGICA DE LA TEORÍA DEL DERECHO
Authors: Ferrajoli Luigi 
Published: November 2023

El autor expone sumariamente las líneas epistemológicas y los principios metodológicos de la teoría que ha desarrollado en Principia iuris. Teoria del diritto e della democrazia. En particular, se analiza el método adoptado, el objeto o universo del discurso teórico y los fines perseguidos en este trabajo, proyectado por el autor ya desde los años sesenta del siglo pasado. El resultado es una teoría articulada en dos partes: por un lado, una teoría del derecho elaborada con el uso del método axiomático y, por otra, una teoría de la democracia constitucional, que es una interpretación empírica y normativa de la primera, conectadas ambas por una relación de isomorfismo que une a la democracia y al paradigma constitucional del Estado de derecho.
Menores y Derecho. Editorial
Authors: Gil Ruiz Juana María 
Published: November 2023

Uno de los objetivos de esta Revista, con ya 54 años de historia, era perseguir desde el conocimiento, la protección de los derechos humanos desde una perspectiva crítica y comprometida. Igualmente deseábamos estar alerta de cuantas temáticas requirieran de un abordaje urgente y oportuno, desde el rigor de la experticia jurídica. En este sentido, si el año pasado el número 48 se dedicó a la Violencia Institucional de Género, cumplidos 10 años de la aprobación de la popularmente conocida como Ley Integral de 2004, este año 2015 marcaba la actualidad del tema abordado en el Monográfico: Menores y Derecho.