bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH LAMA WAKTU FERMENTASI MENGGUNAKAN RAGI TEMPE SELAMA < 24 JAM TERHADAP SIFAT ORGANOLEPTIK VCO DENGAN NUTRISI RAGI 4% B/V
Authors: Sulistiyawati Merita , Lusiani Cucuk Evi 
Published: December 2022

Kelapa sebagai buah yang sering dikonsumsi dapat digunakan sebagai bahan utama pembuatan Virgin Coconut Oil (VCO). VCO adalah produk olahan daging buah kelapa tua (usia 11-12 bulan) yang dapat dibuat melalui proses fermentasi tanpa melalui proses pemanasan. Proses fermentasi pada pembuatan VCO dapat dilakukan menggunakan alat sederhana yang menghasilkan produk dengan daya simpan yang lama. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh lama waktu fermentasi menggunakan ragi tempe selama < 24 jam terhadap sifat organoleptik VCO dengan nutrisi Ragi 4% b/v. Proses fermentasi dilakukan selama 6, 12 dan 18 jam. Produk VCO yang dihasilkan dilakukan uji sifat organoleptik (warna, aroma, dan rasa), pH dan yield. Hasil dari penelitian ini menunjukkan bahwa sifat organoleptik dari produk VCO pada waktu fermentasi selama 6, 12 dan 18 jam dengan konsentrasi nutrisi ragi 4% b/v adalah sesuai dengan Standar Nasional Indonesia (SNI) 7281:2008 yaitu tidak berwarna atau sedikit kekuningan, beraroma khas kelapa, dan terasa khas kelapa. Nilai pH dari produk VCO yang dihasilkan adalah 4,6 pada waktu fermentasi selama 6 dan 18 jam dan 4,9 pada waktu fermentasi selama 12 jam. Berdasarkan hasil dari penelitian juga dapat diketahui bahwa nilai yield dari produk VCO semakin tinggi dengan semakin lamanya waktu fermentasi. Nilai yield dari produk VCO tertinggi diperoleh pada waktu fermentasi 18 jam yaitu sebesar 16% v/v.
PENGARUH LAMA MASERASI KULIT JERUK NIPIS TERHADAP ANTISEPTIK PADA PEMBUATAN HAND SANITIZER GEL
Authors: Wasilah Qasimatul , Suharti Profiyanti Hermien 
Published: December 2022

Hand sanitizer merupakan antiseptic dengan kandungan alkohol 60-80%. Bahan aktifnya adalah alkohol yang memiliki efektivitas tertinggi terhadap virus, bakteri, dan jamur serta tidak menyebabkan resistensi bakteri. Hand sanitizer pada penelitian ini menggunakan penambahan bahan alami yaitu ekstrak kulit jeruk nipis. Tujuan dari penelitian ini ialah untuk mengetahui pengaruh variasi lama maserasi kulit jeruk nipis pada pembuatan hand sanitizer. Penggunaan alkohol terus menerus pada kulit dirasa kurang aman karena alkohol merupakan pelarut organic yang dapat melarutkan sebum pada kulit, maka dilakukan penambahan bahan alami berupa ekstrak kulit jeruk nipis. Jeruk nipis merupakan tanaman yang mudah didapatkan masyarat. Jeruk nipis mengandung minyak atsiri yang mempunyai fungsi sebagai antibakteri. Jeruk nipis juga mengandung flavonoid yang dapat menghambat pertumbuhan staphylococcus aereus (kuman pada kulit). Variabel yang digunakan pada penelitian ini yaitu lama perendaman maserasi dengan variasi tidak maserasi, 1 hari maserasi dan 2 hari maserasi. Pengujian karakteristik ekstrak kulit jeruk nipis dapat dilakukan terhadap uji flavonoid dan uji alkaloid sedangkan untuk analisis hand sanitizer dapat dilihat dari hasil analisis organoleptik dan analisis homogenitas. Adanya senyawa flavonoid ditunjukkan pada variabel 1 hari maserasi konsentrasi pelarut 70%, 2 hari maserasi konsentrasi pelarut 65%, dan 2 hari maserasi pada konsentrasi pelarut 70% yaitu dengan adanya warna jingga pada hasil uji, akan tetapi tidak diketahui kadar flavonoid tersebut. Hasil dari uji antibakteri menunjukkan hasil terbaik pada 2 hari maserasi konsentrasi pelarut 70% dengan zona hambat 15mm.
Derinat® has an immunomodulatory and anti-inflammatory effect on the model of acute lung injury in male SD rats
Authors: Palikova Yulia A. , Palikov Victor A. , Novikova Nadezhda I. , Slashcheva Gulsara A. , Rasskazova Ekaterina A. , Tukhovskaya Elena A. , Danilkovich Alexey V. , Dyachenko Igor A. , Belogurov Jr. Alexey A. , Kudriaeva Anna A. , Bugrimov Daniil Y , Krasnorutskaya Olga N. , Murashev Arkady N. 
Published: December 2022

To simulate acute lung injury (ALI) in SD male rats they we administered intratracheally with lipopolysaccharide (LPS) followed by hyperventilation of the lungs (HVL), which lead to functional changes in the respiratory system and an increase in the blood serum concentration of inflammatory cytokines. LPS + HVL after 4 h lead to pronounced histological signs of lung damage. We have studied the effectiveness of Derinat® when administered intramuscularly at dose of 7.5 mg/kg for 8 days in the ALI model. Derinat® administration lead to an increase in the concentration of most of the studied cytokines in a day. In the ALI model the administration of Derinat® returned the concentration of cytokines to its original values already 48 h after LPS + HVL, and also normalized the parameters of pulmonary respiration in comparison with animals without treatment. By the eighth day after LPS + HVL, respiratory parameters and cytokine levels, as well as biochemical and hematological parameters did not differ between groups, while histological signs of residual effects of lung damage were found in all animals, and were more pronounced in Derinat® group, which may indicate stimulation of the local immune response. Thus, the administration of Derinat® stimulates the immune response, has a pronounced protective effect against cytokinemia and respiratory failure caused by ALI, has immunomodulatory effect, and also stimulates a local immune response in lung tissues. Thus, Derinat® is a promising treatment for ALI.
Queijo Serra da Estrela PDO Cheese: Investigation into Its Morpho-Textural Traits, Microbiota, and Volatilome
Authors: Rampanti Giorgia , Ferrocino Ilario , Harasym Joanna , Foligni Roberta , Cardinali Federica , Orkusz Agnieszka , Milanović Vesna , Franciosa Irene , Garofalo Cristiana , Mannozzi Cinzia , Mozzon Massimo , Osimani Andrea , Aquilanti Lucia 
Published: December 2022

Queijo Serra da Estrela is a PDO Portuguese cheese produced through coagulation of raw ewe’s milk using cardoon (Cynara cardunculus L.) flowers. The present research was aimed at depicting an up-to-date and comprehensive overview of the microbiota of Queijo Serra da Estrela cheese. To this end, viable counting and metataxonomic analysis were carried out on cheeses sampled from four Portuguese artisan producers. Physico-chemical and morpho-textural analyses were also performed, together with the analysis of volatile organic compounds (VOCs). Finally, non-starter lactic acid bacteria (NSLAB) isolated from the cheeses were characterized for their enzymatic activities using a semi-quantitative method. According to the metataxonomic analysis, Lactococcus lactis and Lactococcus piscium were the species occurring at the highest relative abundance. The isolates collected from the cheeses were assigned to Enterococcus durans, Enterococcus faecalis, Enterococcus faecium, Enterococcus lactis, Levilactobacillus brevis, Latilactobacillus graminis, Leuconostoc mesenteroides, and the Lacticaseibacillus casei group. The enzymatic characterization of these cultures highlighted esterase, aminopeptidase, acid phosphatase, beta-galactosidase, alpha-glucosidase, and beta-glucosidase among the major enzymatic activities. Fungal populations were dominated by Debaryomyces hansenii and Kurtzmaniella zeylanoides; however, species rarely found in cheese (e.g., Candida boidinii, Vishniacozyma victoriae, and Starmerella) were also detected. The volatile compounds characterizing the analyzed cheeses were carboxylic acids and esters, followed by carbonyl compounds and alcohols.
Protective Effects of Ferulic Acid on Metabolic Syndrome: A Comprehensive Review
Authors: Ye Lei , Hu Pan , Feng Li-Ping , Huang Li-Lu , Wang Yi , Yan Xin , Xiong Jing , Xia Hou-Lin 
Published: December 2022

Metabolic syndrome (MetS) is a complex disease in which protein, fat, carbohydrates and other substances are metabolized in a disorderly way. Ferulic acid (FA) is a phenolic acid found in many vegetables, fruits, cereals and Chinese herbs that has a strong effect on ameliorating MetS. However, no review has summarized the mechanisms of FA in treating MetS. This review collected articles related to the effects of FA on ameliorating the common symptoms of MetS, such as diabetes, hyperlipidemia, hypertension and obesity, from different sources involving Web of Science, PubMed and Google Scholar, etc. This review summarizes the potential mechanisms of FA in improving various metabolic disorders according to the collected articles. FA ameliorates diabetes via the inhibition of the expressions of PEPCK, G6Pase and GP, the upregulation of the expressions of GK and GS, and the activation of the PI3K/Akt/GLUT4 signaling pathway. The decrease of blood pressure is related to the endothelial function of the aortas and RAAS. The improvement of the lipid spectrum is mediated via the suppression of the HMG-Co A reductase, by promoting the ACSL1 expression and by the regulation of the factors associated with lipid metabolism. Furthermore, FA inhibits obesity by upregulating the MEK/ERK pathway, the MAPK pathway and the AMPK signaling pathway and by inhibiting SREBP-1 expression. This review can be helpful for the development of FA as an appreciable agent for MetS treatment.
EFEKTIFITAS APLIKASI WEBSITE DALAM PEMBELAJARAN UNTUK MENINGKATKAN MINAT BELAJAR PESERTA DIDIK
Authors: Meduri Ni Rury Heranda , Firdaus Rangga , Fitriawan Helmy 
Published: December 2022

Sebuah faktor pendukung dalam keberhasilan proses belajar mengajar adalah digunakan sebuah media pembelajaran. Tujuan dari penelitian ini adalah untuk mengetahui efektifitas aplikasi website dalam pembelajaran untuk meningkatkan minat belajar peserta didik. Pemanfaatan teknologi pada media pembelajaran yang akan memperluas peluang mahasiswa dalam upaya peningkatan pembelajaran. Pemanfaatan website digunakan dan dimanfaatkan untuk membantu siswa menjalani pembelajaran, pembelajaran yang bisa dilakukan dengan cara daring dan luring. Perkembangan TIK saat ini mengalami peningkatan yang sangat pesat sehingga mempermudah pendidik serta peserta didik dalam mencari informasi serta data dengan cara yang praktis serta efektif. Hal tersebut juga sudah membawa beberapa perubahan yang sangat banyak pada beberapa aspek dalam hidup manusia yang dipergunakan untuk mencari serta mendapatkan informasi dengan mudah serta bisa diakses kapanpun dan dimanapun. Pada penelitian ini dipergunakan metode Systematic Literature Review (SLR). Dalam mengumpulkan data, dilaksanakan dengan mencari beberapa jurnal nasional yang terakreditasi oleh Sinta, Google Scholar dan Scopus yang kemudian dilakukan review pada jurnal tersebut agar mendapatkan kesimpulan atau hasil dari penelitian yang telah dilaksanakan. Hasil penelitian yang dilaksanakan adalah bahwasannya Media Pembelajaran Website dapat dipergunakan dalam upaya peningkatan minat belajar siswa sehingga membantu siswa dan guru dalam melaksanakan pembelajaran tambahan di luar sekolah agar pembelajaran tidak membosankan dan minat belajar siswa tinggi.
Implementação de automatização do processo de fabricação de polímero utilizando a plataforma SDCD Yokogawa Centum VP
Authors: Casaro Cassius Vinícius , Gonzaga Diego Márcio , Richetto Marco Rogério da Silva , Richetto Kátia Celina da Silva 
Published: December 2022

O desafio de se manterem competitivas no mercado obriga as empresas a buscarem constantemente inovações voltadas para a diminuição com os custos de produção. O desperdício e o retrabalho são fatores importantes que impactam diretamente no aumento dos custos para as empresas. Sabe-se que o polímero é um material fundamental na fabricação de fertilizantes nitrogenados, sendo utilizado no processo de recobrimento da ureia. Tal recobrimento tem como finalidade combater o desgaste prematuro do componente químico quando aplicado no solo. A complexidade de produção deste polímero se dá em razão da dificuldade em dosar precisamente a quantidade de Composto A mais o Composto B, combinados a um determinado tempo de agitação, tornando inviável a produção de forma manual. O objetivo deste trabalho foi modernizar e automatizar a linha de fabricação de polímeros, definindo a plataforma de automação a ser utilizada na aplicação do automatismo, criando componentes que serão integrados na IHM (interface Homem-Máquina) e realizando a lógica de programação e intertravamento para o funcionamento do processo. O estudo e análise do conceito de fabricação do polímero, somados a criação de uma tela gráfica para facilitar a compreensão do processo e a lógica de automação através da plataforma Centum VP compõem as etapas fundamentais utilizadas no desenvolvimento da metodologia deste artigo. A utilização da plataforma foi de fácil entendimento para os operadores e a automatização da linha de produção gerou inovação e diminuição do reprocesso. O sucesso do projeto pode ser observado no comparativo entre as taxas de retrabalho do antigo sistema manual com o novo sistema automático de fabricação do composto.
Where are the female professors in STEM?
Authors: Jaccheri Letizia , Cutrupi Claudia Maria , Diaconu Mara Gabriela , lenarduzzi valentina , Szlavi Anna , Takaoka Alicia Julia Wilson 
Published: December 2022

<p>When Letizia Jaccheri became department head, she realized that she was the only female in both the leader group of her Science, technology, engineering, and mathematics (STEM) faculty and in the leader group of her department of computer science. While the percentage of female students in STEM at the university had reached almost 30% thanks to actions to which she had contributed for almost 20 years, the number of female professors in STEM was only 13%. It was then that the idea of the IDUN project was born. The central measure in the project was the employment of nine female adjunct professors, at least one at each of the seven institutes of the faculty. IDUN provided training for these professors to become role models and mentors for 3-5 mentees each. The present paper aims to give a summary of the project, as well as looking at the consequences and future implications. </p>
Digital Camera-based Eye Movement Assessment Method for NeuroEye Examination
Authors: Hassan Mohamed Abul 
Published: December 2022

<p>In this article, I/We report a novel eye-movement assessment method using a digital camera to measure eye conjugacy in healthy individuals while performing a neurological examination. This is clinically significant because this approach overcomes the limitations of complex and expensive setups (e.g., infrared cameras) that often make it impractical to scale up and translate to clinical use. Moreover, this approach removes the need for a calibration procedure which has caused prior studies to exclude participants, potentially introducing selection bias and limiting generalizability. Our study suggests that this technology could be deployed for clinical use in the clinic or pre-hospital setting, including telemedicine or emergency medical services (EMS) encounters to detect neurological injury or diseases that cause neuro-ocular deficits, like stroke. </p>
Fast Ocean Front Detection Using Deep Learning Edge Detection Models
Authors: Felt Violet , Kacker Shreeyam , Kusters Joe , Pendergast John , Cahoy Kerri 
Published: December 2022

<p>Small-scale ocean fronts play a significant role in absorbing the excess heat and CO2 generated by climate change, yet their dynamics are not well understood. Existing in-situ and remote sensing measurements of the ocean have inadequate spatial and temporal coverage to map small-scale ocean fronts globally. Additionally, conventional algorithms to generate ocean front maps are computationally intensive and require data with long lead times. We propose machine learning (ML) models to detect temperature and chlorophyll ocean fronts from unprocessed and radiometrically uncorrected satellite im- agery by transfer learning from existing models for edge detection. We use two separate datasets: one based on conventional approaches to ocean front detection, and a second based on human annotated ground truth1. The deep learning front detection approach significantly reduces the resources and overall lead times needed for detecting ocean fronts. The deep learning models are developed with resource-constrained edge compute platforms like CubeSats in mind, as such platforms can address the spatial and temporal coverage challenges. The highest performing models achieve accuracies of 96% and make predictions in milliseconds using unoptimized desktop CPUs and using less than 100 MB of storage; these capabilities are well- suited for CubeSat deployment. </p>
Algorithm-Aware Qubit Mapping
Authors: Ji Yanjun , Polian Ilia 
Published: December 2022

<p>Algorithm-aware (AlgAw) qubit mapping aims at directly providing the solutions to qubit mapping of algorithms with regular structures based on the algorithm's features. Although exact methods can provide high quality solutions, their compilation time grows exponentially with circuit size. To improve scalability, we propose the AlgAw qubit mapping approach. The main idea is to first identify subcircuits in an algorithm to be mapped, then analyze optimal solutions for small scale subcircuits found by exact methods, extend these solutions to large scale subcircuits, reconstruct the entire circuit and assign parameters, and finally map pretranspiled circuits onto the target quantum devices. Applying AlgAw to the quantum approximate optimization algorithm (QAOA) on linear and T-shaped subtopologies produces optimal and scalable solutions for arbitrary numbers of qubits and depths, which is critical to the algorithm's performance on near-term quantum devices. Compared to other methods including Qiskit, Tket, and SWAP-network, AlgAw produces the least number of CNOT gates and the lowest circuit depth for the pretranspiled circuits. Furthermore, AlgAw takes only a few seconds to construct a resulting circuit having a hundred qubits. The benchmarking results on IBM quantum devices show that AlgAw qubit mapping yields better performance than others. AlgAw is applicable to other variational quantum algorithms (VQAs) and can also be applied to other algorithms.</p>
Spectral-Temporal Saliency Masks and Modulation Tensorgrams for Generalizable COVID-19 Detection
Authors: H. Falk Tiago 
Published: December 2022

<p>Speech COVID-19 detection systems have gained popularity as they represent an easy-to-use and low-cost solution that is well suited for at-home long-term monitoring of patients with persistent symptoms. Recently, however, the limited generalization capability of existing deep neural network based systems to unseen datasets has been raised as a serious concern, as has their limited interpretability. In this paper, we propose two innovations to help overcome these issues. First, we propose the use of a 3-dimensional modulation frequency tensor (called modulation tensorgram representation, MTR) as input to a convolutional recurrent neural network for COVID-19 detection. The representation is known to provide robustness against different environmental factors seen across datasets. Next, we propose the use of spectro-temporal saliency masking to aggregate regions of the MTR related to COVID-19, thus helping further improve the generalizability and interpretability of the model. Experiments are conducted on three public datasets and results show the proposed solution consistently outperforming two benchmark systems in within-, across-, and unseen-dataset tests. The proposed method relies on a similar number of parameters to the benchmark, thus a promising solution for at-home monitoring of COVID-19 infection. </p>
Mechanisms of Including the Skills of 21st Century in the Educational Competencies of the Basic Education Stage: Kingdom of Bahrain as an Example
Authors: Nouf Al-Moray  
Published: December 2022

The study aims to set an image to the mechanisms of the skills of the 21st century in the educational competencies of the basic education stage. To achieve this aim, a qualitative research design has been adopted in its analytical content analysis way. The study has arrived to the following conclusions: the availability of: the communicative and team work skills with a percentage of 25.9%, linguistic competency with a percentage of 24.6%, the skills of local and global citizenship, creativity, and problem solving with a percentage of 13.6%, critical thinking with a percentage of 10.38%, technological culture with a percentage of 5.8%, pioneerism and initiativeness with a percentage of 10.38%, technological culture with a percentage of 3.8%, leadership and decision making with a percentage of 1.9%, the competencies of mathematics, which is mostly full of skills- with a percentage of 37.5%%, Arabic language with 32.3%, English language with 13.5%, and science with 16.5%. As for the competencies attached to the third circle, they are considered highly full of skills with a percentage of 38.35, followed by the first circle with a percentage of 31.8%, and finally come the competencies attached to the second circle with a percentage of 29.8%. Based on these results, the research has set qualitative and quantitative mechanisms to include the skills of the 21st century regarding the educational competencies. It has further recommended checking the main and subsidiary educational competencies of the other subjects and the competencies of the secondary education to maintain including all the skills of the 21st century.
Socio-Economic factors influencing Sesame Production among Farmers in Bade Local Government Area, Yobe State, Nigeria
Authors:   Department of Agricultural Economics and Extension, Federal University, Gashua, Nigeria, Tikau Yahaya, H. , Oyediran B.O , O.John Makinde ,   Department of Animal Science, Federal University, Gashua, Nigeria., Dantata Ishaku, J. ,   Department of Agronomy, Federal University, Gashua, Nigeria, Oyewole S.Olusola 
Published: December 2022

Sesame is one of the major crops produced in Yobe State, Nigeria. However, its production is influenced by some socioeconomic factors. The socio-economic determinants of sesame (Sesame indicum L) production among farmers in Bade LGA, Yobe State, Nigeria were investigated. Primary data were collected with the use of a structured questionnaire from 180 respondents selected using two-stage sampling technique. Data were analyzed with descriptive statistics and multiple regression analysis. Findings show that sesame farmers between the age of 20-39 years old dominated sesame production (57.22%) in the study area. About 61.11% of the respondents were male while 38.89% female were involved in the sesame production in the study area. Age, sex and marital status had a positive and significant influence on sesame production in the study area. The major constraints to sesame production were poor access roads, high cost of input and insecurity. The findings suggest that improved sesame production could be achieved by giving consideration to some significant variables identified; farmer’s cooperative should be initiated to offer opportunities to members to have access to capital/credit and other inputs. Government should make policies that will facilitate farmers’ access to education and training. Also, consideration should also be given to rural infrastructure and inputs subsidies not limited to fertilizer as these were among the notable constraints faced by farmers. Government should look into the inherent potential of sesame business as that will increase foreign earnings and local industries for processing sesame into industrial usage.	Keywords: Socio-economic, sesame, constraints, Yobe State