bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterizing hydrolysate from duck feather degradation by Pseudomonas sp. PK4, Bacillus cereus TD5B, and Bacillus cereus LS2B
Authors: Fitriyanto N A , Saputri A A , Jayamahendra M K , Prabawati N N A , Prasetyo R A , Pertiwiningrum A , Pastawan V , Abidin M Z , Erwanto Y 
Published: October 2023

Abstract
Duck feathers are mainly composed of keratin, which is difficult to degrade. We want to know the ability of indigenous strains to produce keratinase and the ability to degrade duck feather’s keratin and observe the hydrolysate’s amino acid profile. All the strains were confirmed to produce keratinase from the formation of clear zones on an agar medium., Bacillus cereus LS2B, Bacillus cereus TD5B, and Pseudomonas sp. PK4 had the maximum enzyme activity on the casein substrate with 10.52 U/mL, 6.24 U/mL, and 16.42 U/mL, respectively. In addition, Strains LS2B, TD5B, and PK4 have activity of 5.23 U/mL, 7.01 U/mL, and 11.3 U/mL, respectively, while growing on the keratin substrate. Pseudomonas sp. PK4, Bacillus cereus LS2B, and Bacillus cereus TD5B degraded 38%, 38%, and 19% of the substrate, respectively. We found 12 amino acids during HPLC analysis. This study concludes that strains Strain PK4, LS2B, and TD5B can produce keratinase and can degrade the keratin of the duck feather substrate into amino acids.
Bivalvia assemblage in the estuary and mangrove of Belawan Waters, North Sumatra
Authors: Harahap R A , Barus T A , Wahyuningsih H 
Published: October 2023

Abstract
Marine bivalves are aquatic organisms commonly found in the intertidal zone that frequently exposed to pollution and anthropogenic activities. The study aimed to determine the bivalvian diversity and its distribution pattern in Belawan Waters as one of the most polluted estuary area in North Sumatra. The study used purposive sampling in two sites, Station-1 was located at the mangrove forest in Kwala Besar and Station-2 was located at Bagan Belawan or human-exposed waters. The study documented seven species of bivalves with Solen sp. as the most abundant species (3.33 ind/m2) at Site-1 and Hiatula chinensis (7.44 ind/m2) at Site-2. The Shannon’s diversity index (H’) of bivalves in Belawan Waters was categorized as low level of divesity in both sites. The distribution pattern of Atrina pectinata, Lingula anatina, and Placuna sp. was randomly distributed while Anadara granosa, Solen sp., Hiatula chinensis and Tellina exerythra was clumped in the area based on the Morisita’s index. Bivalve diversity index was positively correlated with the physicochemical characteristics of Belawan waters, including pH, COD, TSS, and PO4, while TDS, BOD5, DO, Substrate Organic Content, salinity, and temperature were negatively correlated to the diversity.
The development of the value chain equivality model analysis of tuna fish sector in Banda Aceh
Authors: Ferdynanda A A , Juanda  , Asmawati  
Published: October 2023

Abstract
The Tuna fish have oceanic characteristics that try to move from one water to another and have oceanographic, biological, and meteorological conditions following their habitat. The fishery industrialization program aimed at improving the welfare of coastal fishermen or other waters has been implemented for a long time. Indonesia plays an important role in the tuna fish commodity. VCA is a method for comprehending the value chain that comprises a product. This value chain stems from the activity conducted out, from raw resources to consumer. The value chain model was prepared using the SEM (Structural Equation Modeling) method, which was compiled based on field data patterns. The interpretation model is carried out to explain the interaction pattern of business actors in the development of the Tuna fishery value chain and formulate strategies to minimize barriers to synergies in the development of the Tuna fishery value chain more precisely and following real needs. The value chain perspective sees a business as a collection of processes that convert input data into market output signals for customers. The goal of value chain analysis (VCA) is to understand how something creates value for the customers by demonstrating the various contributions of activities to that value.
Oral acute toxicity study of nano herbal Sikkam leaves (Bischofia javanica)
Authors: Rumahorbo C G P , Ilyas S , Hutahaean S , Zuhra C F , Situmorang P C 
Published: October 2023

Abstract
Challenges of the medicinal plant agribusiness is free trade. Free trade demands the availability of quality and sustainable products. Improving medicinal plant preparations into nano-extracted forms is a promising method. Furthermore, the use of medicinal plants has a significant impact on plant biodiversity and the sustainability of the environment. Bischofia javanica (Sikkam), an edible tree with potentially beneficial medicinal properties, contains important medicinal ingredients. The purpose of this study was to determine the acute toxicity (LD50 and LC50) of nano herbal sikkam leaves and their effect on the weight and histopathology of organ. Nano herbal sikkam leaves were created using planetary ball milling (PBM). The Thomson-Weil formula was used to calculate the LD50 over 14 days. The brine shrimp lethality test method was used to determine the LC50 at various concentrations. The LD50 value was 12.6 g/KgBW ± 0.17, the LC50 value was 3179.926 ppm (classified mildly toxic). Only the weight of the heart and lung were significantly affected by nano herbal sikkam leaves (p< 0.05). In addition, there were pathological changes in the liver, lungs, brain, kidney, and heart. This study provides the safe use of nano herbal sikkam leaves and improves the function of the organs.
Incorporation of Fenugreek (Trigonella foenum) seed powder on the physical quality of buffalo meat patty during frozen storage
Authors: Patriani P , Hasanah U , Sari T V 
Published: October 2023

Abstract
The development of buffalo meat products is still limited due to several reasons, namely dark colour, and hard texture. Sustainable development of innovative food products is needed to meet consumer demand. Frozen foods have a long shelf life and are popular for example patty. The addition of materials that can improve quality and add health benefits should be carried out. Fenugreek contains protein, fibre, stabilizer, and emulsifier so it can be recommended in the development of buffalo meat patty as a frozen food product. This experiment aims to determine the effect of Fenugreek on buffalo meat patty during frozen storage. The design used CRD factorial pattern. Factor I was the addition of Fenugreek powder to buffalo meat patty (F0:0%, F1:2%, F2:4%, and F3:6%) and factor II was freezing time (B1:45 days; B2:90 days). The addition of Fenugreek powder had a significant effect on (P<0.01) on pH, cooking weight loss, tenderness, and (P<0.05) water content but had no significant effect on frozen storage (P>0.05). Adding Fenugreek powder up to 6% in frozen storage for 45 days resulted in the best physical quality of buffalo meat patty. Fenugreek powder 6% is recommended as an emulsifier for buffalo meat patties
Physical quality of beef patty with substitution mocaf flour (modified cassava flour) and bread crumbs
Authors: Patriani P , Rosadi  
Published: October 2023

Abstract
The development of processed meat products needs to be carried out to meet food needs in a sustainable manner. Popular processed meat products such as patty. Patty is usually made by adding a filler in the form of bread crumbs which is quite expensive. Mocaf flour is a product of modified cassava flour by fermentation. Mocaf flour is gluten-free and has almost the same characteristics as wheat flour. Mocaf flour has the potential as a substitute for foods made from bread crumbs or wheat flour. The purpose of this study was to determine the effect of mocaf flour on the physical quality of beef patty. The method used was CRD with 5 treatments and 4 replications. The treatments consisted of R0 = 100% bread crumbs + 0% mocaf; R1 = 75% bread crumbs + 25% mocaf; R2 = 50% bread crumbs + 50% mocaf; R3 = 25% bread crumbs + 75% mocaf; R4 = 0% bread crumbs + 100% mocaf. The results showed that the substitution of mocaf flour by 75% decreased the pH, cooking weight loss, water content and increased tenderness of the beef patty. Mocaf is recommended to be used as a patty filler to provide food sustainably.
Sperm quality of Bali bull following sexing and freezing using different cryoprotectants
Authors: Saili T , Nafiu L O , Pagala M A , Bain A , Aku A S , Rahadi S , Rusdin M , Lopulalan F 
Published: October 2023

Abstract
The objective of this experiment was to assess the impact of sperm sexing duration on sperm quality and to compare the effectiveness of glycerol (GC) and ethylene glycol (EG) as cryoprotectants to preserve the quality of sexed sperm during the freezing and storage in liquid nitrogen. The treatments consisted of three different durations of sexing: 40 min.(D-40), 50 min (D-50), 60 min. (D-60). The variable measured was the motility and viability of sperm following sexing and post-thawing motility of Bali bull sexed sperm cryopreserved in GC and EG. The results showed that sperm motility after sexing was significantly higher in the treatment of 40 and 50 min. compared to 60 min. of sexing duration. While the viability of sexed sperm in all treatments was not significantly different. Post-thawing motility of frozen sexed sperm cryopreserved with GS was higher than sexed sperm cryopreserved with EG. Finally, it was concluded that sexing times of 40 and 50 min. were the best time to get high sperm motility and viability of Bali bull compared to sexing times of 60 min. In addition, GS could maintain the motility of sexed sperm better than EG.
Identification of fish meal adulterated with rice bran by using an image analysis method
Authors: Agustin A F , Albarki H R , Martin R S H , Jayanegara A 
Published: October 2023

Abstract
Adulterated feed ingredients are one of the main problems in ensuring quality. This study aims to identify the level of fish meal forgery using rice bran based on image analysis with a convolutional neural network algorithm. The number of datasets in this study was 3200 images divided into 2400 images for training data and 800 images for test data. The forgery treatment consists of P0=100% fish meal, P1= 90% fish meal+10% rice bran, P2=80% fish meal+20% rice bran, P3= 70% fish meal+30% rice bran and P4=100% rice bran. The CNN algorithm processes the image through the input layer, feature extraction layer, and fully connected. The results of this study obtained a training data accuracy value of 100% and a validation data accuracy value of 100%. The results of 99% accuracy using 20 epochs were obtained in testing through the confusion matrix table. This study concluded that testing the counterfeiting of fish meal and rice bran using CNN can provide quite good and optimal results.
Evaluation of feed quality for sustainable production and quality of buffalo milk in Siborong-Borong farm
Authors: Hasanah U , Sinamo K N , Desnamrina K C , Siregar G A W , Prayitno H D 
Published: October 2023

Abstract
Buffalo is one of the livestock that produces milk with good quality protein and fat contents. The production and quality of milk produced by livestock are influenced by several factors, one of which is the quality of feed. The purpose of this study was to analyze the quality of feed in Siborong-Borong farms. The animals are using in this research are six buffalo. The variables in this research were nutrient contents of feed (crude protein, crude fibre, crude fat, and dry matter contents), milk production, milk quality (pH, protein, fat, and contamination of Escherichia coli), and buffalo body weight. The result shows that the quality of feed is still low, especially the quality of the forage. It has low protein (6.34%) and high fibre (49.56%). High ratio of concentrate in the ration also affects to the quality of milk. The milk production is 4.68 ± 0.17 L/head/day, and protein and fat contents in buffaloes milk are 3.72 ± 0.68 and 3.54 ±1.15 respectively. The low milk production is caused by the quality of forage and month lactation. Escherichia coli contamination of milk up to 8.7 APM/mL. It is caused by low hygiene during milking.
Development of antimicrobial cotton fabrics by decoration with silver nanoparticles and activated carbon composite
Authors: Chaisen Konkanok , Audtarat Sasiporn , Thepsiri Jaruwan , Dasri Thananchai 
Published: October 2023

Abstract
Nanometer sized particulates demonstrate significant potential in various biomedical applications due to their large surface-to-volume ratio and exceptional physicochemical, electronic and mechanical properties. Additionally, the number of microbial infectious disease outbreaks has increased tremendously over the past decade, greatly impacting public health worldwide. In this article, we evaluate the antimicrobial activity of a cotton fabric (CF) impregnated with silver nanoparticles (AgNPs) and hemp hurd activated carbon (HHAC) (HHAC@AgNPs) composite (CF-HHAC@AgNPs). Field emission scanning electron microscopy and x-ray diffraction spectra of the CF-HHAC@AgNPs material revealed the presence of AgNPs and HHAC on the cotton fabric. Moreover, CF-HHAC@AgNPs shows excellent antimicrobial efficacy against Gram-positive and Gram-negative pathogens. The obtained results show that an HHAC@AgNPs-CF material can be prepared. It has an antimicrobial activity that suggests its potential as an inhibitory agent in various biomedical applications.
Evaluation of quantitative ultrasonic C-scan testing for refill friction stir spot welding joints based on time-frequency analysis
Authors: Zhong Hua , Xu Guocheng , Dong Juan , Zhou Guanghao , Lin Yuting , Fan Qiuyue , Gu Xiaopeng 
Published: October 2023

Abstract
This paper focuses on a comparative study of different ultrasonic feature-based C-scan testing imaging methods for characterizing refill friction stir spot welding (RFSSW) joints, and accurately identifying and measuring the nugget boundary. The aim is to explore a suitable method for nugget characterization and automatic size analysis. The research indicates that the frequency-domain C-scan imaging method outperforms the time-domain C-scan imaging method in accurately characterizing the nugget. Furthermore, the C-scan imaging method based on the feature value of the base material zone (BMZ) echo signal performs better than the method based on the nugget echo signal. The tested nugget sizes obtained by using the –6 dB drop-off method to identify the boundaries in the C-scan images are generally larger than the metallographic measurement values. A novel method is proposed in this paper, using the difference in main frequency amplitude values between the BMZ and the nugget as the feature value for the C-scan testing image, and employing the Hough circle transformation for an automatic extraction of joint size. This method achieves improved nugget characterization and higher accuracy in size analysis.
Modular vertically-integrated skin patch for biosignal measurements
Authors: Alastalo Ari , Keränen Kimmo , Suhonen Mika , Ollila Jyrki , Huttunen Arttu , Appeltans Raf , Sijbers Wim , van Gestel Gijs , Hadipour Afshin , Lammar Stijn , Aguirre Aranzazu , Michalczuk Rafael , Gapp Christof , Scholz Martin , Peters Markus , Etzel Frank , Hübner Gunter , Krebs Martin , Turyk Zoryana , Bucher Nicolas 
Published: October 2023

Abstract
This paper presents research on a novel and modular vertically-integrated wearable skin patch for biosignal measurements. The flexible patch consists of a disposable skin-contacting electrode layer and a durable electronics part. The durable part is designed to include a printed re-chargeable battery, a solar cell, electronics for the measurement of electrocardiogram (ECG), galvanic skin response, acceleration, temperature and humidity and a covering visually appealing jewellery-like functional crystal layer for decoration and user interaction. The patch can store measurement data and transmit it to a mobile phone via a bluetooth low-energy radio. Integration process is developed for the vertical stacking that limits the skin-patch area to achieve a desirable form factor. The sensing electrodes are printed on stretchable thermoformable polyurethane substrate with vias through the substrate to couple skin-contacting electrodes to the upper functional layers. A removable adhesive layer between the disposable and durable parts is developed to enable separating the two parts after wear and then to couple the durable part with a new disposable part. The patch is tested on body for ECG sensing.
Numerical investigation on the role of ZnTe back surface layer in an efficient CuInS2 thin film solar cell
Authors: Rana Mohammad Masud , Abir Ahnaf Tahmid , Nushin Syeda Samiha , Hossain Jaker 
Published: October 2023

Abstract
This paper presents the modeling and numerical inspection of an efficient CuInS2-based n-CdS/p-CuInS2/p+-ZnTe thin film solar cell applying the SCAPS-1D simulator. The various parameters used in the simulation have been obtained from existing literature. The optimization of the device has considered the width, doping concentration, and defect density of individual layer. The optimized standalone CuInS2 device shows an efficiency of 16.83%. Addition of ZnTe in the device gives an impressive efficiency of approximately 28.67%, having a current density, JSC of 25.58 mA cm−2, a VOC of 1.25 V, and an FF of 89.12%. The superior VOC is a result of the increased built-in potential formed at the hetero-interfaces of the device and the decrease in surface recombination velocity by back surface field effect in the ZnTe layer. The highest JSC is ascribed to the enhancement of the absorption of vis-infrared photons by back surface field (BSF) effect in the ZnTe layer. These findings demonstrate the potential for manufacturing high efficiency CuInS2-based thin film solar cells in the future.
Large fitness benefits of social nesting in a small carpenter bee
Authors: Mikát Michael , Rehan Sandra M 
Published: October 2023

Abstract
Facultatively social insects are an optimal model group for the study of the emergence of cooperation between individuals. Factors influencing the fitness benefits of social nesting are still debated. Nonreproductive subordinates can benefit from indirect fitness benefits due to increasing reproductive success of related individuals or direct fitness benefits due to direct future reproduction. Here, we studied the costs and benefits of social nesting in the small carpenter bee Ceratina albosticta. From demographic data and within-nest relatedness, we obtained key parameters for assessing the fitness of solitary females, social primaries, and social secondaries. C. albosticta were found to usually mate with one male and multiple mating is not common although exists at low frequencies. Social nests usually contain two females, which were found to be related (full sisters), but also some females were unrelated to each other. Patterns of parentage from microsatellite loci revealed that only one female reproduces in social nests. Our results show that relatedness, per capita brood productivity, and offspring survival strongly increase the fitness benefits of social nesting strategies. Social secondaries, when related to the social primaries, have higher inclusive fitness than solitary females, but unrelated social nesting females had no indirect fitness and much reduced inclusive fitness compared to solitary females. Interestingly, average fitness benefits of the social secondary were higher than solitary females. This study provides important empirical data on the costs and benefits of sociality in a facultatively social bee and sets the stage for future comparative studies.
HetDDI: a pre-trained heterogeneous graph neural network model for drug–drug interaction prediction
Authors: Li Zhe , Tu Xinyi , Chen Yuping , Lin Wenbin 
Published: October 2023

Abstract
The simultaneous use of two or more drugs due to multi-disease comorbidity continues to increase, which may cause adverse reactions between drugs that seriously threaten public health. Therefore, the prediction of drug–drug interaction (DDI) has become a hot topic not only in clinics but also in bioinformatics. In this study, we propose a novel pre-trained heterogeneous graph neural network (HGNN) model named HetDDI, which aggregates the structural information in drug molecule graphs and rich semantic information in biomedical knowledge graph to predict DDIs. In HetDDI, we first initialize the parameters of the model with different pre-training methods. Then we apply the pre-trained HGNN to learn the feature representation of drugs from multi-source heterogeneous information, which can more effectively utilize drugs’ internal structure and abundant external biomedical knowledge, thus leading to better DDI prediction. We evaluate our model on three DDI prediction tasks (binary-class, multi-class and multi-label) with three datasets and further assess its performance on three scenarios (S1, S2 and S3). The results show that the accuracy of HetDDI can achieve 98.82% in the binary-class task, 98.13% in the multi-class task and 96.66% in the multi-label one on S1, which outperforms the state-of-the-art methods by at least 2%. On S2 and S3, our method also achieves exciting performance. Furthermore, the case studies confirm that our model performs well in predicting unknown DDIs. Source codes are available at https://github.com/LinsLab/HetDDI.
Risk Factors Contributing to Crossing Professional Boundaries in the Context of COVID-19 in the Czech Republic
Authors: Dimmrothová Romana , Křivánková Martina , Navrátil Pavel , Hendrychová Vanda 
Published: October 2023

Abstract
Crossing professional boundaries in the context of Czech social work remains an understudied phenomenon. Additionally, the recent situation caused by the COVID-19 pandemic dramatically affected work conditions and transformed social work practice. The aim of this article is to answer the following research question: How do subjectively experienced risk factors affect the social worker in situations when professional boundaries are crossed and in the context of a pandemic situation (COVID-19)? The text is based on the theory of professional boundaries in the client–worker relationship and also includes the perspective of professional boundary crossing in social work. The key conceptual framework is ecosystem theory qualitative research carried out in two phases via in-depth semi-structured interviews in the selected locality. Each phase included informers who were active as social workers in low-threshold centres for children and youth. The text is a reflection of the influence of external factors on professional boundaries and of the internal dispositions of social workers, on the basis of which the text offers practical recommendations for social work practice in three categories: social workers at the individual level, leadership and organisations, educational institutions.
Executive Summary: Periprosthetic Joint Infection—Current Clinical Challenges
Authors: Nelson Sandra B , Pinkney Jodian A , Chen Antonia F , Tande Aaron J 
Published: October 2023

Abstract
Over the last several decades, periprosthetic joint infection (PJI) has been increasing in incidence and is occurring in more complex patients. While there have been advances in both surgical and medical treatment strategies, there remain important gaps in our understanding. Here, we share our current approaches to the diagnosis and management of PJI, focusing on frequent clinical challenges and collaborative interdisciplinary care. The more detailed review including diagnosis, surgical considerations, and a detailed antimicrobial discussion is presented in the online version.