bluuebunny/crossref_metadata_2025 huggingface dataset:
Reapplication Potential of Historic Pb-Zn Slag in Regard to Net Zero Principles
Authors: Radulović Dragan , Terzić Anja , Stojanović Jovica , Jovanović Vladimir , Todorović Dejan Čedomir , Ivošević Branislav Božidar
Published: November 2023

Smelting used to be less efficient in the past, so wastes obtained from historical processing at smelter plants usually contain certain quantities of valuable metals. A case study was conducted, which included an investigation of the physicochemical, mineralogical, and microstructural properties of raw material found at the historic slag pond near the Topilnica Veles smelter in North Macedonia. The Pb-Zn slag was sampled using traditional geophysical methods such as drill holes and pitholes. The mineralogical and microstructural analysis revealed that the Pb-Zn slag is a very complex and inhomogeneous alternative raw material with utilizable levels of metals, specifically Pb (2.24 wt%), Zn (7.10 wt%), and Ag (27.53 ppm). Amorphous phase, lead alloys, zinc alloys, wurtzite, sphalerite, galena, cerussite, elemental silver, elemental copper, elemental iron, magnetite, spinel, rutile, hematite, and troilite were also identified through qualitative mineralogical analysis. The glassy matrix composed of spinel, silicates, and mixed spinel-silicate is the most abundant constituent in slag composition. The various potential applications of the slag are possible based on its mineralogical and geochemical properties. Because the extraction of Pb, Zn, and Ag has certain economic potential, the next step, which will include gravity concentration and magnetic separation procedures, will be to form metal concentrates into their collective concentrate, from which the maximum amount of silver can be extracted. Slag's amorphous spinel, silicate, and mixed spinel-silicate phases, which contain high concentrations of SiO2, Al2O3, CaO, and Fe2O3, are suitable for use in building materials such as cement clinker, filler, or aggregate for concrete or mortar. The goal of this research is to close the circle of slag's reutilization potential in terms of Net Zero and Zero Waste principles, so it is critical to thoroughly investigate the material and establish methods and preparation processes, as well as ways of concentrating useful components into commercial products.
Conducting and Magnetic Hybrid Polypyrrole/Nickel Composites and their Application in Magnetorheology
Authors: Jurča Marek , Vilčáková Jarmila , Kazantseva Natalia E. , Munteanu Andrei , Munteanu Lenka , Sedlačík Michal , Stejskal Jaroslav , Trchová Miroslava , Prokeš Jan
Published: November 2023

Hybrid organic/inorganic conducting and magnetic composites of core–shell type have been prepared by in-situ coating of nickel microparticles with polypyrrole. Three series of syntheses have been made. In the first, pyrrole was oxidized with ammonium peroxydisulfate in water in the presence of various amounts of nickel and the composites contained up to 83 wt% of this metal. The similar syntheses in 0.1 M sulfuric acid followed. Finally, the composites with polypyrrole nanotubes were prepared in water in the presence of structure-guiding methyl orange dye. FTIR and Raman spectroscopies confirmed the formation of polypyrrole. The resistivity of composite powders of the order of tens to hundreds Ω cm was monitored as a function of pressure up to 10 MPa. The resistivity of composites slightly increased with increasing content of conducting nickel. This apparent paradox is explained by the coating of nickel particles, which prevents their contacts and generation of metallic conducting pathways. Electrical properties were practically independent of the way of composite preparation or nickel fraction and were controlled by polypyrrole phase. On the contrary, magnetic properties were determined exclusively by nickel content. The composites were used as a solid phase to prepare a magnetorheological fluid. The test showed better performance when compared with a different nickel system.
Small Doses of Lime with Common Fertilizer Practices Improve Soil Characteristics and Foster the Sustainability of Maize Production
Authors: Dugalić Marijana , Životić Ljubomir , Gajić Boško , Latković Dragana
Published: November 2023

Lime application with other complementary sustainable management practices increases crop yield, but liming is modestly applied in Serbia. This study investigated the influence of liming (1000 kg/ha) combined with the common application of mineral fertilizers on maize yield and the chemical properties of Pseudogley soil. The experiment was conducted near Kraljevo, Western Serbia, on maize hybrid ZP 606, sown in a two-year monoculture. The experiment had three treatments: fertilizer, fertilizer+lime, and control treatment. The soil is acid, poor in humus, and contains an increased content of mobile aluminum. There was a significant increase in yield under the fertilizer and lime+fertilizer treatments, compared with the control. The yield of maize in the limed treatment was 4.4–9% higher than in the fertilizer treatment. The positive effects of liming on soil are related to an increase in pH, base saturation, and available phosphorus and a decrease in available aluminum. In the fertilizer treatment, there was a small decrease in pH and base saturation, whereas the amount of aluminum remained high, indicating that further application of fertilizers without lime can increase the aluminum content and foster its toxicity. The long-term sustainability of maize production in Serbia should include liming as a regular management practice on Pseudogley soil, with the utilization of smaller doses of lime because of the potential CO2 effects. To improve soil health, food, and environmental security, and incorporate new crops, developing a framework promoting liming as a sustainable management practice is of high importance.
Empowering Sentence Representation with Semantic-Enhanced Tree-LSTMs
Authors: H. Chris Andrew , Lee Fei , Ali Woods
Published: November 2023

The Semantic-Enhanced Tree-LSTM (SeT-LSTM) network, a novel advancement in the realm of linguistic modeling, marks a significant step forward from traditional Tree-based Long Short Term Memory (LSTM) networks. By intricately weaving in the nuances of typed grammatical dependencies, SeT-LSTMs offer a more nuanced understanding of language semantics. Traditional models often overlook the semantic shift caused by variations in word or phrase roles, a gap this paper aims to fill by focusing on the types of grammatical connections, or typed dependencies, within sentences. Our proposed architecture, dubbed the Semantic Relationship-Guided LSTM (SRG-LSTM), leverages a control mechanism to model the interplay between sequence elements. Additionally, we present a novel Tree-LSTM variant, the Semantic Dependency Tree-LSTM (SDT-LSTM), which integrates dependency parse structures with dependency types for more robust sentence embedding. The SDT-LSTM demonstrates superior performance in Semantic Relatedness Scoring and Sentiment Analysis compared to its predecessors. Qualitatively, it shows resilience to changes in sentence voice and heightened sensitivity to nominal alterations, aligning well with human intuition. This research underlines the pivotal role of grammatical relationships in sentence understanding and paves the way for further exploration in this domain.
Efficiency of Micro and Small Wood-Processing Enterprises in the EU – Evidence From DEA and Fractional Regression Analysis
Authors: Neykov Nikolay , Sedliačiková Mariana , Antov Petar , Potkány Marek , Kitchoukov Emil , Hălălișan Aureliu-Florin , Poláková Natália
Published: November 2023

Micro and small wood-processing enterprises represent the heart of the European forest-based industries, being among the key drivers of economic growth in rural, mountainous, and poor regions. Their economic efficiency is of fundamental importance for their existence and the pro-vision of income for the local population in rural areas. Data Envelopment Analysis (DEA) is nonparametric, linear-programming-based approach, commonly used to analyse the efficiency of organizational units. This method allows estimating the economic efficiency of a certain eco-nomic system without assumptions about the functional form between resources and products. Furthermore, DEA determines the efficiency frontier and gives results of whether an enterprise, i.e., a Decision Making Unit (DMU) is efficient or not. The main objective of this study was to investigate and evaluate the economic efficiency of micro and small wood-processing enterpris-es in the EU countries and reveal the hidden inputs that facilitate efficiency generation. The eco-nomic efficiency evaluation was carried out on the basis of the official statistical data for the mi-cro and small wood-processing companies in the EU member states for the period 2015-2020 by performing a two-stage DEA analysis. The data used were standardized by value per employee. In addition to the first stage of DEA, fractional regression probit and logit models with four contextual variables were used to reveal the influence of the hidden inputs in the model. The results showed that the micro and small wood-processing enterprises can be regarded as more scale-efficient than technically-efficient entities. The only contextual variable affecting the eco-nomic efficiency was Investments per Person Employed, improving the efficiency by 2% per 1% increase of the investments.
Utilizing Sentinel-2 for Recent Urbanization Trends on LULC Using a Semi-Automatic RF Classifier and Vegetation Change Dynamics for Gelephu, Bhutan
Authors: Tempa Karma , Ilunga Masengo , Agarwal Abhishek , Tashi And
Published: November 2023

Gelephu, located in the Himalayan region, has experienced one of the strongest development activities due to the suitable topography and geographic location, which has led to rapid urbanization. The main objective of the study is to perform land use land cover (LULC) mapping for Gelephu for 2016 and 2023 by a Random Forest (RF) classifier, using the Semi-automatic Classification Plugin (SCP) in QGIS and identify LULC changes. Furthermore, the study assessed the vegetation change dynamics within the study area by analysing the Normalized Difference Vegetation Index (NDVI) for 2016 and 2023. Additionally, the study characterized the resulting LULC change for Gelephu Thromde, a sub-administrative municipal entity, as a result of the notable intensity of the infrastructure development activities. The current study used a framework to collect Sentiniel-2 satellite data, which was then used for pre- and post-processing to create LULC and NDVI maps. The classification model achieved high accuracy, with an area under the curve (AUC) of up to 0.89. The corresponding LULC and NDVI statistics were analysed to determine the current status of the LULC and vegetation indices, respectively. The LULC change analysis reveals urban growth of 5.65% and 15.05% for Gelephu and Gelephu Thromde, respectively. The NDVI assessment shows significant deterioration in vegetation health with a 75.11% loss of healthy vegetation in Gelephu between 2016 and 2023. This research provides the first version of LULC and NDVI maps of Gelephu. The analysis results indicate possible future implications on sustainable development management in Gelephu Bhutan.
Non-axisymmetric Bouncing Dynamics on a Moving Superhydrophobic Surface
Authors: Wang Wenhao , Yu Wenlong , Yu Zhiyuan , Chen Shuo , Cao Damin , Liu Xiaohua , Zhao Jiayi
Published: November 2023

The phenomenon of droplet impact on moving surfaces is widely observed in fields such as transportation, rotating machinery, and inkjet printing. Droplets exhibit non-axisymmetric behavior due to the motion of solid surfaces which significantly determines core parameters such as contact time, maximum spreading radius, and bounding velocity, thereby affecting the efficiency of related applications. In this study, we focus on kinetics and morphology of the non-axisymmetric bouncing behaviors for droplets impacting on a moving superhydrophobic surface (SHPS) within the normal (Wen) and tangential (Wet) Weber numbers. Considering the influences of moving surface on the contact area and contact time, the previous scaling formula for the horizontal velocity of droplets has been improved. Based on the velocity superposition hypothesis, we establish a theoretical model for the ratio of the maximum spreading radius at both ends depending on Wen and Wet. This research provides both experimental and theoretical evidence for understanding and controlling the non-axisymmetric behavior of droplets impacting on moving surfaces.
Protein Hydrolysates from Fisheries Processing Byproducts: Production, Characteristics, Food Applications and Challenges
Authors: Nikoo Mehdi , Regenstein Joe M. , Yasemi Mehran
Published: November 2023

Fish processing by-products such as frames, trimmings, and viscera of commercial fish species are rich in proteins. Thus, they have the potential to be an economical source of proteins that may be used to obtain bioactive peptides and functional protein hydrolysates for the food and nutraceutical industries. The structure, composition, and biological activities of peptides and hydrolysates depend on the freshness and the actual composition of the material. Peptides isolated from fisheries by-products showed antioxidant activity. Changes of hydrolysis parameters changed the sequence and properties of the peptides, and determined their physiological functions. Optimization of the value of such peptides and the production costs must be considered for each particular source of marine by-products and for their specific food applications. This review will discuss the functional properties of fisheries by-products prepared using hydrolysis and their potential food applications. It also reviews the structure-activity relationships of the antioxidant activity of peptides as well as challenges to the use of fisheries by-products for protein hydrolysates production.
Osteoprotective Effect of the Phytonutraceutical Ormona® on Post-Menopausal Osteoporosis in Wistar Rats
Authors: Do Nascimento Aline Lopes , Furtado Gabriel da Costa , Vilhena Vinicius Maciel , Carvalho Helison de Oliveira , Sales Priscila Faimann , Barcellos Alessandra Ohana Nery , De Maria Kaio Coutinho , Braga Francinaldo Sarges , Da Silva Heitor Ribeiro , Bezerra Roberto Messias , Carvalho José Carlos Tavares
Published: November 2023

The phytonutraceutical Ormona® is a product composed of: purified oil of Bixa orellana Linné; dry extract of Myrciaria dubia McVaugh; dry extract of Trifolium pratense L. and dry extract of Euterpe oleracea Mart. obtained using Evolve® technology. This study evaluated the effects of Ormona® on Wistar rats affected by ovariectomy-induced osteoporosis. Pre-treatment was conducted for 15 days before surgery and continued for a further 45 days after the surgical procedure. The experimental design consisted of 5 groups (n=5): OVW: treated with distilled water (1 mL/ kg, p.o); ADS: alendronate sodium (4 mg/ kg p.o); EST: conjugated estrogen (2 ug/ kg, p.o); ORM: Ormona® (20 mg/kg, p.o); ORM + EST: Ormona® (20 mg/kg + conjugated estrogen 2 ug/ kg, p.o. Biochemical and hormonal parameters, along with bone histopathology and trabecular and femoral diaphysis size, were evaluated through Scanning Electron Microscopy (SEM) and bone calcium quantification by atomic absorption spectrophotometry. The results show that ovariectomy caused bone alterations such as loss of femoral microarchitecture, decreased bone homeostasis parameters, and changes in the lipid profile. Estrogen supplementation reduced parameters such as cholesterol, LDL, and Ca2+ concentration. However, Ormona® showed higher serum estradiol levels (p< 0.01), effects on the lipid profile, including parameters that estrogen replacement and alendronate sodium did not affect, with an increase in HDL, and positive modulation of bone metabolism, increasing osteocytes and the presence of osteoblasts. Ormona®, therefore, produced better results than the groups treated with estrogen and alendronate sodium.
Interaction of O2 with Reduced Ceria Nanoparticles at 100–400 K: Fast Oxidation of Ce3+ Ions and Dissolved H2
Authors: Chakarova Kristina , Drenchev Nikola , Mihaylov Mihail , Hadjiivanov Konstantin
Published: November 2023

The interaction between O2 and reduced ceria nanocubes was mainly investigated by FTIR spectroscopy. Nanorods and nanoparticles were also studied for comparison. Adsorption of O2 at 100 K on unreduced ceria produces only O2 molecularly adsorbed on Ce4+ sites. The Ce3+ cations in H2-reduced ceria were monitored by the 2F5/2 → 2F7/2 electronic transition band at 2133-2095 cm-1. This band possesses a fine structure well resolved at 100 K. The positions of the individual components depend on the Ce3+ environment, including the presence of nearby species such as OH groups. Even at 100 K, the interaction of O2 with reduced ceria leads to fast oxidation of about half of the Ce3+ cations, including all Ce3+ sites bound to OH groups and carbonates, and the simultaneous formation of superoxo (O2) and peroxo (O22) species. The remaining fraction of Ce3+ sites disappears upon heating up to 348 K. At higher temperatures, the peroxo species decompose directly, yielding lattice oxygen. Superoxides are converted to hydroperoxides, which then decompose to terminal OH groups. Reduced samples evacuated at T < 773 K contain sorbed H2. Part of this hydrogen is also fast oxidized to H2O even at 100 K.
Influence of 2-Weeks Mango Ingestion on Inflammation Resolution After Vigorous Exercise
Authors: Sakaguchi Camila A. , Nieman David C. , Omar Ashraf M. , Strauch Renee C. , Williams James C. , Lila Mary Ann
Published: November 2023

Mangoes have a unique nutrient profile (carotenoids, polyphenols, sugars, vitamins) that we hypothesized would mitigate post-exercise inflammation. This study examined the effects of mango ingestion in moderating exercise-induced inflammation in a randomized crossover trial with 22 cyclists. In random order with trials separated by a 2-week washout period, the cyclists ingested 330 g/day mangoes with 0.5 liters water or 0.5 liters water alone for 2 weeks, followed by a 2.25-h cycling bout challenge. Blood and urine samples were collected pre- and post-2 weeks supplementation, with additional blood samples collected immediately post-exercise, and then 1.5-h, 3-h, and 24-h post-exercise. Urine samples were analyzed for targeted mango-related metabolites. The blood samples were analyzed for 67 oxylipins that are upstream regulators of inflammation and other physiological processes. After 2-weeks mango ingestion, three targeted urine mango-related phenolic metabolites were significantly elevated compared to water alone (interaction effects, p≤0.003). Significant post-exercise increases were measured for 49 oxylipins, but various subgroup analyses showed no differences in the pattern of change between trials (all interaction effects, p>0.150). The 2.25-h cycling bouts induced significant inflammation but no countermeasure effect was found after 2-weeks mango ingestion despite the elevation of mango gut-derived phenolic metabolites.
Analyzing the Influence of Diverse Background Noises on Voice Transmission: A Deep Learning Approach to Noise Suppression
Authors: Nogales Alberto , Cayuela Javier Caracuel , García-Tejedor Álvaro J.
Published: November 2023

This paper presents an approach to enhancing the clarity and intelligibility of speech in digital communications compromised by various background noises. Utilizing deep learning techniques, specifically a Variational Autoencoder (VAE) with 2D convolutional filters, we aim to suppress background noise in audio signals. Our method focuses on four simulated environmental noise scenarios: storms, wind, traffic, and aircraft. Training dataset has been obtained from public sources (TED-LIUM 3 dataset, which includes audio recordings from the popular TED-TALK series) combining with these background noises. The audio signals were transformed into 2D power spectrograms, upon which our VAE model was trained to filter out the noise and reconstruct clean audio. Our results demonstrate that the model outperforms existing state-of-the-art solutions in noise sup-pression. Although differences in noise types were observed, it was challenging to definitively conclude which background noise most adversely affects speech quality. Results have been assessed with objective methods (mathematical metrics) and subjective (listening to a set of audios by humans). Notably, wind noise showed the smallest deviation between the noisy and cleaned audio, perceived subjectively as the most improved scenario. Future work involves refining the phase calculation of the cleaned audio and creating a more balanced dataset to minimize differences in audio quality across scenarios. Additionally, practical ap-plications of the model in real-time streaming audio are envisaged. This research contributes significantly to the field of audio signal processing by offering a deep learning solution tailored to various noise conditions, enhancing digital communication quality.
DeepRED Based Sparse SAR Imaging
Authors: Zhao Yao , Liu Qingsong , Tian He , Ling Bingo Wing-Kuen , Zhang Zhe
Published: November 2023

The integration of deep neural networks into sparse Synthetic Aperture Radar (SAR) imaging has been explored to enhance SAR imaging performance and reduce the system’s sampling rate. However, the scarcity of training samples and mismatches between the training data and the SAR system pose significant challenges to the method’s further development. In this paper, we propose a novel SAR imaging approach based on Deep Image Prior Powered by RED (DeepRED), enabling unsupervised SAR imaging without the need for additional training data. Initially, DeepRED is introduced as the regularization technique within the sparse SAR imaging model. Subsequently, variable splitting and the Alternating Direction Method of Multipliers (ADMM) are employed to solve the imaging model, alternately updating the magnitude and phase of the SAR image. Additionally, the SAR echo simulation operator is utilized as an observation model to enhance computational efficiency. Through simulations and real data experiments, we demonstrate that our method maintains imaging quality and system downsampling rate on par with deep neural network-based sparse SAR imaging, but without the requirement for training data.
Mapeando as disparidades socioeconômicas de saúde urbana: um estudo comparativo entre seis capitais brasileiras
Authors: Passarelli-Araujo Hisrael
Published: November 2023

A cidade é um modo de viver, pensar e sentir. O modo de vida urbano é capaz de produzir ideias, comportamentos, valores e conhecimentos, mas também pode acirrar disparidades socioeconômicas e de saúde da população que ali reside. Este artigo examina as disparidades em saúde urbana em seis capitais brasileiras: São Paulo, Rio de Janeiro, Salvador, Fortaleza, Belo Horizonte e Manaus. Para quantificar e mapear as disparidades intraurbanas nesses espaços, foram utilizados os dados do Censo Demográfico de 2010 para a aplicação do índice de saúde urbana (ISU), uma métrica que sintetiza oito diferentes variáveis socioeconômicas e de saneamento desagregadas por setores censitários. Os resultados são discutidos à luz de três vertentes teóricas: a diferenciação centro-periferia; abordagem econômica da saúde; e epidemiologia social. As descobertas desse estudo revelam que os setores censitários que abrangem populações com maior status socioeconômico e melhores condições de saneamento apresentaram índices de saúde urbana mais elevados do que os da periferia da cidade. Há indícios de melhores indicadores de saúde urbana para o Rio de Janeiro e São Paulo, em comparação com as demais capitais analisadas. No entanto, há importantes nuances em cada uma das seis cidades estudadas, especialmente quando se atribuem diferentes pesos às variáveis que compõem o ISU, apesar da marcada segregação espacial comum a todas elas. Considerar as distinções dentro do espaço urbano é uma estratégia fundamental para a compreensão desses aspectos sociais e econômicos e seus potenciais desdobramentos nas condições de saúde da população.
KESIAPSIAGAAN MASYARAKAT TERHADAP MEGATHRUST DI KELURAHAN SIDOHARJO DAN DESA SEDENG KECAMATAN PACITAN KABUPATEN PACITAN
Authors: Mardiani Lulut Yuliana , Ahmad  , Nugraha Setya
Published: November 2023

This research was carried out in Sidoharjo Village and Sedeng Village, Pacitan District, Pacitan Regency with the aim of knowing the community's preparedness for megatrhusts in Sidoharjo Village and Sedeng Village, Pacitan District, Pacitan Regency. The research method used in this research is descriptive qualitative with a spatial approach. The research was conducted on community leaders in Sidoharjo Village and Sedeng Village with research samples using regional samples based on topography and knowledge. Data collection techniques in this research are observation and interviews. Then, to test the validity using data triangulation techniques. The results of the research show the level of community preparedness in facing megatrusts in Sidoharjo Village and Sedeng Village, Pacitan District are included in the same classification, that both areas have individual community preparedness that is very ready to face megatrust disasters.
COMMUNITY DEVELOPMENT PENANGANAN WABAH PMK BERBASIS KEARIFAN LOKAL DI DESA SUMBUNG, KECAMATAN CEPOGO, KABUPATEN BOYOLALI
Authors: Haryanto Slamet , Wahyuni Purbudi , Purwanta Jaka , Prasetya Johan Danu , Cahyadi Teddy Agung
Published: November 2023

Sumbung Village is located in Cepogo District, Boyolali Regency, precisely on the east side of the Merapi Slope and is located about 10 km from the center of the capital Boyolali Regency is a milk-producing dairy cattle center because the number of female cattle farmers in the Sumbung Village community is very large, the majority of livestock are cattle cattle FMD outbreak. Sumbung Village supports the economy of the local community, even the Boyolali Regency government itself. When the FMD outbreak spread in Sumbung Village, farmers suffered losses of up to 80%. The impact of FMD Outbreak in Sumbung Village is very heavy, but with the ability of local resources and local wisdom owned by the Sumbung Village Community, they can carry out FMD outbreak handling, especially in the treatment and recovery after FMD Outbreak. Through the research method to be used in this study using a qualitative approach with the PRA (Participatory Rural Appraisal) method. Research Involving all actors of the Sumbung Village community who play an active role in handling FMD outbreaks at the community and government levels, it was found that the Community Development carried out by the people of Sumbung Village was very good in handling FMD outbreaks, especially the use of traditional medicinal plants around their homes. Local wisdom with the use of medicinal plants is a form of empowerment of the people of Sumbung Village in handling FMD outbreaks independently.The actions of the Sumbung Village Community in handling FMD Outbreak by planting medicine.This good learning can be used as a guide in handling emergency situations in the future.
ANALISIS SPASIAL PERUBAHAN PENGGUNAAN LAHAN DI KABUPATEN PURBALINGGA
Authors: Anggraeni Lilian , Noviani Rita , Ajar Seno Budhi
Published: November 2023

The rapid development of the Purbalingga Regency region, supported by the establishment of increasingly complex regulations and significant population growth, has significantly impacted the demand for facilities and infrastructure development; this aims to realize development plans and meet the increasing needs of society. Changes in land use are an important factor that needs to be analyzed and planned carefully. This research aims to understand changes in land use in Purbalingga Regency. The method used involves interpreting Landsat images with predictive modeling of land use changes using Annual Neural Network and Cellular Automata (ANN-CA) to describe land use changes between 2009 and 2022 using data techniques observation. The research results show that the most dominant land uses in Purbalingga Regency include gardens, rice fields, forests, and settlements. The most striking change in land use is the transformation from forest and agricultural land to residential land. The residential land area 2009 was around 6,294.48 hectares, which increased significantly to around 15,183.88 hectares in 2022.
Development of Wondershare Filmora Food Photography Learning Media in Culinary Arts Course at Medan State University
Authors: Icha Yarisya Ferika , Esi Emilia  , Fatma Tresno Ingtyas  , Ana Rahmi  , Cucu Cahyana  , Rachmat Mulyana
Published: November 2023

This research aims to: (1) Produce Wondershare Filmora-based learning media in Culinary Arts Subject; (2) Test the feasibility of Wondershare Filmora-based learning media in Culinary Arts Subject according to material experts and media experts. The research location was conducted at the Culinary Education Study Program at Medan State University. The research time was November 2022 - January 2023. This research uses the ADDIE development model which is limited to 3 steps, namely (1) Analysis (needs analysis); (2) Design (making storyboards and making learning media); (3) Development (validation by material experts and media experts). The research subjects consisted of one material expert, one media expert, and 30 students of the Cosmetology Education Study Program. The data collection technique used a questionnaire to capture material quality data and media quality data. The data analysis technique was descriptive. Based on the results of this study, the results of the analysis of the needs of lecturers and students that all lecturers and students need Wondershare Filmora learning media, each score ≥ 50 percent. This media can be disseminated and implemented in the Culinary Arts course. The results of the material expert validation obtained a feasibility of 95.38 percent with the criteria "Very Feasible", and the results of the media expert validation obtained a feasibility of 94.12 percent with the criteria "Very Feasible" so that Wondershare Filmora media learning in the Culinary Arts course Food Photography material is included in the "Very Feasible" category with an average value of 94.75 percent. The results of student assessment of student response trials of Wondershare FIlmora learning in Culinary Arts courses Food Photography material are very high with a score of 4.63.
Comparison of Consumer Acceptability of Chicken Nugget and Oyster Mushroom Nugget Processed with Premix Nugget Flour
Authors: Gustamiagi Shabrina Finri , Mahdiyah  , Nur Riska
Published: November 2023

The research aims to identify the consumer's receptivity of gluten free nuggets with the raw materials of chicken and oyster mushrooms. The research was implemented in University Of Jakarta. Research time is carried out from Desember 2020 to Desember 2021. This research used experimental methods. The test results showed that gluten free nugget with the basic chicken ingredients preferred to the outer colors, the taste (chicken), the taste (savory), and the aroma of 3.63, 4.03, 4.40, and 4.33. Gluten free nugget based on oyster mushrooms is preferred to color (interior), texture (elasticity) and (softness), with a value of 3.70, 3.67, and 4.20. The research was using the U Mann Whitney test indicate that there was significant difference in acceptance on a significant scale a 0.05. The conclusion of this research is that there are significant differences in texture (elasticity), texture (tenderness), taste (savory), and taste (taste of chicken or taste of oyster mushrooms). While there are no significant differences in the aspects of internal color, exterior color and aroma.
The Effect Of Local Flour Based Yudane On The Quality Of Shokupan Bread
Authors: Sholahuddin Al Ayyubi  , Cucu Cahyana  , Ari Fadiati
Published: November 2023

This research aims to analyze the quality of shokupan bread using yudane with local ingredients including rice flour, glutinous rice flour, and mocaf flour. The research was conducted at the Pastry & Bakery Laboratory, Department of Culinary Education, Faculty of Engineering, Jakarta State University. The method used in this research was an experiment, analyzing the quality of shokupan bread with a 20% local yudane. The quality testing was performed by 5 trained panelists using a hedonic quality scale, including external factors such as volume, shape symmetry, uniformity of baking, and crust characteristics, as well as internal factors such as pores, crumb color, texture, aroma, taste, and chewing quality. The research results showed that among the external factors, the shokupan bread variant with mocaf-based yudane obtained the highest score in terms of volume with a value of 3.8. Meanwhile, in terms of crust color, the shokupan bread variant with glutinous rice flour-based yudane received the highest rating with a value of 3.8. On the aspect of shape symmetry, the shokupan bread variant with rice flour-based yudane obtained the highest score of 3.2. In terms of internal factors, the shokupan bread variant with glutinous rice flour-based yudane showed the highest ratings in terms of pores (3.4), crumb color (3.4), texture (3.4), taste (3.4), and chewing quality (4.0). However, the aspect of aroma received the highest rating in the shokupan bread variant with mocaf-based yudane with an average value of 3.2. In conclusion, based on the research results, shokupan bread made with glutinous rice flour-based yudane produced the best quality bread.
Food and feeding habits of Indian sciaenids - A review
Authors: Bhakta Dibakar , Kumar Das Sudhir , Das Basanta Kumar
Published: November 2023

An attempt was made in the present article to review the food and feeding habits of thefishes of the family Sciaenidae from Indian waters. Members of the Sciaenidae family arecommonly referred to as croakers or drums because of the sound produced by their swimbladders. Sciaenids are distributed in tropical and sub-tropical oceans. They are carnivorous,feeding mainly on crustaceans, small fish, molluscs, annelids and polychaetes and exhibitcannibalism. Sciaenids display differences in food preferences between early stages andadults; the former prefers zooplankton and crustaceans, and the latter mainly smallerteleosts. The feeding intensity was found to be higher in smaller groups compared to maturefish. Considerable temporal variations were recorded in food item occurrence, indicatingan empty stomach during peak breeding and a wide spectrum of food items during otherseasons.
Keywords:Croakers, Feeding intensity, Food and feedinghabits, Sciaenids
Standardisation of stocking density for raising fingerlings of farm-bred peninsular carp Barbodes carnaticus (Jerdon, 1849)
Authors: Barlaya G. , K. Anantharaja  , C. H. Raghavendra  , B. S. Anand Kumar  , K. Hemaprasanth
Published: November 2023

A 90-day trial was conducted to determine the optimal stocking density for raising fingerlingsof Barbodes carnaticus (Jerdon, 1849). The fish were reared in cement tanks of 24 m2 atstocking densities of 15, 30, 45, 60, 75, 90, 105 and 120 m-2. Initially, cow dung was appliedat a basal rate of 3 t ha-1 in the experimental rearing tanks. After a week of manuring, thetanks were stocked with fry of B. carnaticus (mean length 0.98±0.04 cm; weight 4.55±0.04mg). During the first month, the fish were fed a mixture of groundnut oil cake and rice bran(1:1) at 10% of body weight. A sinking pellet feed (3 mm, 35% crude protein) based on fishmealwas fed to satiation in the second and third months. The harvested fish weight ranged from0.50 g in 120 m-2 to 3.53 g in 15 m-2 densities, whereas fish length varied from 3.55 cm in 120m-2 to 6.66 cm in 15 m-2 densities. The results showed that the stocking density inverselycorrelated with final length and weight. The condition factor ranged between 1.01 and1.20, while survival rate varied from 85.66 to 91.47%, with no differences (p>0.05) betweentreatments. The highest fish biomass per tank was recorded under stocking densities of 30and 45 m-2, which indicates that 45 m-2 is the optimal stocking density for fry to fingerlingrearing of B. carnaticus.
Keywords:Carnatic carp, Puntius carnaticus, Seed rearing,Species diversification
Estimation and management of shrimp processing waste in organised shrimp processing sector in India: Opportunities and challenges
Authors: C. G. Joshy  , K. Elavarasan  , V. Renuka  , B. Madhusudana Rao  , K. V. Premdev  , A. A. Zynudheen  , Ninan George
Published: November 2023

This study was conducted to estimate the magnitude of processing waste produced in theorganised shrimp processing sector of India in order to assess the opportunities availablefor its utilisation. The estimation of magnitude of shrimp processing waste was based onsecondary data and its management was based on primary data collected through surveysat processing plants. The organised shrimp processing sector in India generated a largevolume of shrimp processing waste at a growth rate of 12% during 2000-2018. The quantityof shrimp processing waste generated ranged from 1.2 to 4.6 lakh t, which can be utilisedto produce 6712 to 27453 t of chitin alone. However, our study indicated that 75% of thetotal waste generated remained either unused or managed unscientifically, even when thereis huge demand for chitin and its derivatives in the domestic as well as in the internationalmarket. The case studies from chitin producing plants revealed that some costs wereincurred in the procurement of shrimp processing waste as a secondary raw material for theproduction of chitin. Thus forming a link between shrimp processing plants and chitin and itsderivatives producing plants would improve the supply of quality raw material and improveutilisation of processing wastes. The number of chitin and its derivatives producing plantsare too few in India to fully accommodate the large volume of shrimp processing wastegenerated every year. Therefore, infrastructure development in the chitin and associatedindustry with active support from government organisations to overcome the burden of initialinvestment is needed urgently, which can in turn encourage entrepreneurship developmentin the sector for diversified applications.
Keywords:Chitin, Chitosan, Glucosamine hydrochloride,Growth rate, Waste utilisation
Microplate-based incubation method for quality assessment of eggs of Indian major carp Catla catla
Authors: Mohanty Jyotirmaya , Sahoo Sonalina , Badhe Mohan R. , Das Ipsita Iswari , Das Priyanka , Rasal Avinash R. , Murmu Khuntia , Mahapatra Kanta Das , Sahoo Pramoda Kumar , Sundaray Jitendra Kumar
Published: November 2023

Incubation of fertilised eggs from the Indian major carp species, Catla catla was carriedout in tissue culture microplates to assess the quality in terms of hatching rate and posthatchsurvival rate. Eggs from five females (F1, F2, F3, F5 and F6) were strip spawned andfertilised with milt from a single male. The fertilised eggs were distributed at one egg perwell of 24 well microplates, with three plates for each female. The plates were incubated at30oC in an incubator with continuous shaking and complete hatching was observed by 36 h.The hatching rate varied within a range of 0 to 52.8% showing the maximum of 5% for F5followed by F1 (50%) which were significantly higher than the other three females (F2-18.1,F6-5.6 and F3-0%). The eggs from these two females (F1 and F5) thus could be consideredas good. The survival percentage of hatchlings recorded for a period of 8 days post-hatchingwas found to vary from 58.3 to 83.3 and there was low variability among different females onany observed day. Between these two egg quality determinants, the hatching rate was foundto be more suitable considering the wide variability shown by different females indicatingthe quality difference. The microplate method seems to be an appropriate tool to assess theegg quality in catla and can be extended to other species as well.
Keywords:Catla catla, Egg quality, Hatching rate, Microplate
Multiphase Multicomponent Transport Modeling of Cyclic Solvent Injection in Shale Reservoirs
Authors: Ma Ming , Emami-Meybodi Hamid
Published: November 2023

A thorough understanding of fluid transport in ultratight shale reservoirs is crucial for designing and optimizing cyclic solvent injection processes, known as huff ’n’ puff (HnP). We develop a two-phase multicomponent numerical model to investigate hydrocarbon and solvent transport and species mixing during HnP. Unlike the conventional modeling approaches that rely on bulk fluid (advective) transport frameworks, the proposed model considers species transport within nanopores. The chemical potential gradient is considered the driving force for the movement of nonideal fluid mixtures. A binary friction concept is adopted that considers friction between different fluid molecules and between fluid molecules and pore walls. After validating the developed model against analytical solutions and experimental data, the model examines solvent HnP enhanced oil recovery (EOR) mechanisms by considering four-component oil and Eagle Ford crude oil systems. The impacts of injection pressure, primary production duration, soaking time, and solvent type on the oil recovery are examined. The results reveal that the formation of a solvent-oil mixing zone during the huff period and oil swelling and vaporization of oil components during the puff period are key mechanisms for enhancing oil recovery. Furthermore, the incremental recovery factor (RF) increases with injection pressure, even when the injection pressure exceeds the minimum miscibility pressure (MMP), implying that MMP may not play a critical role in the design of HnP in ultratight reservoirs. The results suggest that injecting solvents after a sufficient primary production period is more effective, allowing reservoir pressure depletion. Injecting the solvent without enough primary production may result in significant production of the injected solvent. The results show that the solvent-oil mixing zone expands, and the solvent recycling ratio decreases as soaking time increases. However, short soaking periods with higher HnP cycles are recommended for improving oil recovery at a given time frame. Finally, CO2 HnP outperforms CH4 or N2 HnP due to the higher ability of CO2 to extract a larger amount of intermediate and heavy components into the vapor phase, which has higher transmissibilities as compared with the liquid phase.
Genetic associations of persistent opioid use after surgery: a hypothesis-driven analysis of high-value genetic variants in the Michigan Genomics Initiative dataset
Authors: Brummett Chad , Annis Aubrey , Gunaseelan Vidhya , Smith Albert , Abecasis Goncaol , Larach Daniel , Zawistowski Matthew , Frangakis Stephan
Published: November 2023

Persistent opioid use after surgery is a common morbidity outcome associated with subsequent opioid use disorder, overdose, and death. While phenotypic associations are known, genetic associations remain unidentified. Here, we conducted the largest genetic study of persistent opioid use after surgery: a candidate analysis among non-Hispanic, European-ancestry Michigan Genomics Initiative participants (3,198 cases and 36,321 surgically exposed controls; 794 cases and 32,656 controls in an “opioid-naive” subanalysis) of high-value genetic variants from 72 opioid-related studies. Associations (p < 0.05) occurred at 14 of 77 variants spanning 23 genes. Two highly referenced genes, OPRD1 and DRD2/ANKK1, had no signals. Eleven occurred in OPRM1 (most significant: rs79704991-T, OR = 1.17, p = 8.7×10− 5). Other associations were rs10886472-GRK5 (p = 0.028), rs4633-COMT (p = 0.017), and rs4680-COMT (p = 0.016). Associations at previously identified OPRM1 variants suggest common biology between persistent opioid use and opioid use disorder, establishing a genetically informed component for the recently described concept of preaddiction patients who receive opioid prescriptions. Lack of significant associations at other variants challenges previous studies’ reliability.
FluCare: results from a randomised feasibility study of a complex intervention to increase care home staff influenza vaccination rates
Authors: Wright David , Patel Amrish , Blacklock Jeanette , Bion Veronica , Birt Linda , Bryant Terry , Clark Allan , Cook Luke , Griffiths Alys , Guillard Cecile , Hammond Amber , Holland Richard , Jones Andy , Jones Liz , Katangwe-Chigamba Thando , Pitcher Jennifer , Ruby Po , Scott Sion , Sims Erika , Stirling Susan , Wagner Adam
Published: November 2023

Background
To protect care home residents, annual staff influenza vaccination uptake is recommended to be greater than 75%. In the UK it is under 40%. With barriers and enablers to care home staff flu vaccine uptake identified, the purpose of this study was to feasibility test a theory informed intervention to improve vaccination rates.
Methods
This was a five-arm (one intervention, four different control) study designed to inform the development of a definitive trial protocol. The intervention comprised of videos/posters to change vaccination attitudes, on-site clinics to increase access, a financial incentive for homes to reach target, and monthly monitoring of vaccination uptake. Control arms consisted of a mix of monthly or end of the study monitoring and provision of informational materials to identify the most suitable control arm for a definitive trial.
Care homes were recruited via sector associations and purposively allocated. The feasibility outcomes were: ability to recruit enough homes; data quality (variables reported, variable completeness and consistency with a national reporting system); intervention implementation; control arm reactivity bias and signal of efficacy. Staff vaccination data was collated from homes and via a national healthcare tracking system. Process evaluation and economic data collation were undertaken to optimise intervention and research design.
Results
Ten homes were recruited as per target within 11 weeks. Recruitment delays meant intervention delivery began towards end of flu season. Only 2 clinics took place in each home. All homes in intervention and chosen control arm (monthly monitoring only) reported all variables with over 90% completeness. There was a 15% difference between control homes’ reported vaccination rates and that in the national healthcare tracker, home reported data was more reliable. Signal of efficacy: intervention arm had a vaccination rate 13.6% higher than control arm. Bias: control arm did not have a higher vaccination rate than usual care control.
Conclusions
Better recruitment processes, earlier start in flu season, and data collection direct from care homes are required for a definitive trial. A control arm of monthly monitoring only was identified as optimal for data collection purposes and minimising reactivity bias. The signal of efficacy was acceptable.
Trial registration ISRCTN 14727552 Registered on 27/08/2021. Secondary identifiers: IRAS 305371
Topic modeling discovers trending topics in global research on the ecosystem impacts of microplastics
Authors: Gong Kailin , Hu Shuangqing , Zhang Wei , Peng Cheng , Tan Jiaqi
Published: November 2023

The ecological threats of microplastics have sparked research worldwide. However, changes in the topics of microplastic research over time and space have not been evaluated quantitatively, making it difficult to identify the next frontiers. Here, we apply topic modeling to assess global spatiotemporal dynamics of microplastic research. We identified nine leading topics in current microplastic research. Over time, microplastic research topics have switched from aquatic to terrestrial ecosystems, from distribution to fate, from ingestion to toxicology, and from physiological toxicity to cytotoxicity and genotoxicity. In most of the nine leading topics, a disproportionate amount of independent and collaborative research activity was conducted in and between a few developed countries which is detrimental to understanding the environmental fates of microplastics in a global context. This review recognizes the urgent need for more attention to emerging topics in microplastic research, particularly in regions that are heavily impacted but currently overlooked.