bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of knowledge tracing by integrating exercise features and relationships of concepts
Authors: Chen Lige , Liu Xianzhong 
Published: August 2023

Abstract
Knowledge Tracing (KT) is a challenging task in personalized learning where the objective is to track the progression of students’ understanding of the concepts over time based on their learning history. Typically, there are many more exercises than knowledge points. Tracing the state of the concepts seems a reasonable approach but ignores the additional information contained in the exercise itself. Moreover, there are numerous relationships between knowledge points, and the modification of one point’s state can affect related points. In this paper, we introduce a method that splits exercises into constituent knowledge points, and incorporates the exercise features to improve the differential representation of the exercises containing the same concepts. We also describe two ways of propagating knowledge point states: one-way and two-way, which update the state of the current knowledge point and its related knowledge points. Our model is tested on two real datasets, and the experimental results show that our model outperforms the existing methods.
Small-sample Engine Fault Diagnosis Method Based on IACGAN and DNNs
Authors: Tang Daijie , Bi Fengrong , Huang Meng , Shen Pengfei , Yang Xiao , Guo Mingzhi , Bi Xiaoyang 
Published: August 2023

Abstract
The reliability of engines, particularly aero engines, has become increasingly important in recent years. Accurate fault diagnosis can prevent accidents and minimize property damage. Deep neural network methods (DNNs) are commonly used for fault diagnosis, but their performance relies heavily on large amounts of high-quality training data. Unfortunately, obtaining high-quality engine fault data is challenging in practice. To address this problem, this paper proposes an improved auxiliary classifier generative adversarial network (IACGAN) that incorporates Wasserstein distance and a gradient penalty term. Meanwhile, a variable learning rate is also proposed to accelerate the model convergence. This approach effectively mitigates the problem of model gradient disappearance and expands one-dimensional time-series data. The proposed method was verified on a small aero-engine through a failure simulation test. The results show that the accuracy of DNN can be significantly raised by data enhancement of IACGAN, especially in the case of a limited number of samples. Therefore, this method shows promise as an auxiliary tool for DNN-based fault diagnosis.
Research on Performance Control of Intercalated Melt-blown Nonwoven Materials
Authors: Chen Enjun 
Published: August 2023

Abstract
This paper focuses on enhancing the performance of intercalated melt-blown nonwoven materials through performance control. The study explores whether the structural variables (thickness, porosity, and compression resilience ratio) and performance indicators (filtration resistance and efficiency) of intercalated products undergo significant changes, using analysis of variance (ANOVA). The experimental results indicate that intercalation significantly alters the product’s thickness, porosity, compression resilience ratio, and filtration efficiency. The study also establishes a decision tree regression model between process parameters (acceptable distance and hot air velocity) and structural variables, and a K-nearest neighbor regression model between structural variables and product performance indicators to investigate the relationship between process parameters and product performance during intercalation. Finally, the study determines the optimal performance indicators by controlling process parameters using the simulated annealing algorithm.
Kinematics Analysis and Modelling Based on 4 DOF Industrial Robot
Authors: Wei Yuli 
Published: August 2023

Abstract
With the rapid progress of science and technology, industrial manufacturing and processing technology have also developed rapidly. Industrial robots are widely used in many industrial fields. In this paper, based on the familiarity with the structure and principle of the 4 DOF industrial robot, combined with the virtual simulation platform, the kinematics analysis, modelling, and simulation of the 4 DOF industrial robot are studied. Firstly, the structure of the 4 DOF industrial robot is analyzed, the coordinate transformation is studied, and the coordinate transformation simulation is designed. Secondly, D-H parameter modeling and modelling simulation are achievements. Finally, the kinematic analysis and modeling are completed, and some research results are obtained.
Design of Hybrid Power Chassis System Based on Fuzzy Control
Authors: Luo Haocai , Zhang Changming 
Published: August 2023

Abstract
For wheeled robots working in environments such as sand and slopes, due to the many ups and downs in the environment, they often encounter working states such as acceleration and climbing. This often requires its power supply to provide instantaneous high power, resulting in a large current discharge of the power supply, which seriously affects its service life. To solve this problem, this paper will use a composite power supply composed of supercapacitors and batteries to supply power to the robot chassis and use fuzzy control to perform closed-loop regulation on the output power of the batteries.
Absorption and Crystallization of Carbon Dioxide Absorbed by Sodium Carbonate Solution at High Temperature
Authors: Zheng Mingzhen , Wang Yixiao , Fu Dong 
Published: August 2023

Abstract
The carbon dioxide produced by desulfurization in the metallurgical industry increases the carbon content in tail gas. However, the product of the decarbonization process can remove sulfur dioxide from tail gas. In this paper, the absorption and crystallization amounts of sodium carbonate solution reacting with carbon dioxide at high temperatures are explored through experiments, and the optimum concentration of sodium carbonate solution for absorbing carbon dioxide is determined. The purity of crystals is verified by analyzing the crystallization quality, absorption amount, and absorption curve.
Research on kinematic characteristics of spatial crank rocker mechanism based on MATLAB
Authors: Li Guoyu , Yang Yongxing , Mao Zijie , Chen Mengxue , Lu Xueyu 
Published: August 2023

Abstract
Many students trained in carbon-free trolley engineering to design smoothly but found that it was difficult to achieve the ideal results with a lot of time and effort in trajectory debugging. To deeply explore the characteristics of space crank rocker, through repeated experiments and theoretical analysis of carbon-free trolleys, and using MATLAB, SolidWorks, SPSS, and other software analysis, combined with projection geometric analysis to derive the equations of motion and derive the displacement, velocity, and acceleration characteristic curves. The conditions for the existence of the space crank rocker mechanism with an interlaced angle of 90° are derived, and the relationship between corner amplitude and main structural parameters is obtained. The size of the influence factor of each structural parameter was compared. In the commissioning, according to the characteristics of these parameters, the commissioning cycle of the carbon-free trolley can be greatly shortened.
An Energy Consumption Optimization Method for Intelligent Transfer Robots in a Low-temperature Environment
Authors: Guo Sicheng , Fan Shaosheng 
Published: August 2023

Abstract
The functional design and performance parameters of existing intelligent transfer robots (ITRs) have met the operational requirements for most scenarios at present. However, under the operation condition of low temperatures, the battery discharge capacity of ITRs will significantly reduce, resulting in a decrease in the efficiency of ITRs. Aiming at this problem, this paper proposes an energy consumption optimization method for intelligent transfer robots in a low-temperature environment, which can make the battery discharge capacity meet the best performance by adjusting the motion parameters of ITRs. Firstly, the optimal output current is obtained by analyzing the output characteristics of the battery in a low-temperature environment, and it is measured that the energy consumption of ITRs mainly depends on the energy used in the moving process. Then, it is proved that the moving speed of the ITR has the greatest influence on the output current of the battery based on comparative experiments. Next, the LSTM prediction model and fuzzy PID control are used to regulate the moving speed of the ITR, so that the output current of the robot battery can meet the optimal output performance in a low-temperature environment. Finally, extensive comparative experiments show that the energy consumption optimization method proposed in this paper can effectively improve the discharge capacity of robot batteries in a low-temperature environment.
Topology Optimization and Analysis of the Compound Boring and Milling Machining Center TX1600g Bed Structure
Authors: Yu Chengzhi , Shu Qilin 
Published: August 2023

Abstract
The overall performance of the machine tool bed of the boring and milling center has an important impact on the accuracy of the overall machining, in order to improve the machining accuracy and structural performance of the overall machine tool, the structure optimization design of the machine bed is carried out for the TX1600g composite boring and milling center. The maximum static displacement and mass of the bed were used as the evaluation index to optimize the topology and structure of the bed. An orthogonal test of 5 factors and 5 levels was designed, the maximum displacement generated by different positions in work was analyzed, the frequency under this working condition was explored, and modal analysis was conducted. The Hyperwork selective variable density method is used to optimize the beam structure with multiple objective topologies. By comparing and optimizing the performance parameters of the front and rear beams, the total static displacement is reduced by 9%, which proves the effectiveness of this method to solve the multi-objective optimization problem.
Improved BP neural network algorithm to SOC estimation of mine power supply
Authors: Dai Jianbo , Zhang Jinhao , Lin Yin , Ren Gaojian 
Published: August 2023

Abstract
Since Ni MH battery has the characteristics of high energy density and good stability, it is mainly used as a backup power supply for mining at present, but the accuracy of estimation the SOC of the power supply is poor. To enhance the precision of estimation and extend the lifespan of the battery, based on a single nickel-hydrogen battery, this paper applies a new BP neural network to rise the self-adaption and momentum terms. At the same time, the discharged power is included in the Input feature quantity of the estimation network. The temperature, current and terminal voltage are also included in the input characteristic quantity of the estimation network. There is output during training, and then the momentum term is adjusted based on the Variance of variance error by comparing the actual output. The error of the estimated network should be back propagated from the output to the input to correct the weight. The direction of change in the error determines the adaptive learning rate of the improved BP neural network. The speed of the algorithm is increased by 72% and the error rate is less than 5%, compared to the traditional BP neural network algorithm.
Presence of Antibiotic Resistance Genes in Bacteria Isolated from Raw Cow Milk obtained from Bowen University Dairy Farm.
Authors: Owoseni Abimbola A. , Adigun Taiwo O. , Asogbon Olajumoke H. , Atobatele Bukola O. , Adeleke Olufeyikemi A. , Nejo Yewande T. 
Published: August 2023

Abstract
Antibiotic resistance is becoming more prevalent thus posing a severe threat to global health. Bacteria were obtained from raw milk produced on the Bowen University campus using conventional methods. Morphological and biochemical testing were used to carry out phenotypic identification process. Six widely used broad-spectrum antibiotics were used in tests to determine their sensitivity. Bacteria resistant to four or fewer antibiotics were chosen for the amplification of antibiotic-resistance genes while using the 16S rRNA technique for sequencing. Eighty-one isolates were obtained, and the sensitivity patterns revealed 81.8% resistance to cefuroxime and 98.1% resistance to cefixime and amoxicillin/clavulanate (augmentin). Twelve out of the multidrug-resistant isolates were sequenced and they revealed 100% resistance to cefixime and amoxicillin/clavulanate (augmentin), 80% to cefuroxime, and 53.3% and 6.7% to gentamicin and ciprofloxacin respectively. Only ofloxacin showed a sensitivity of 100 percent. The sequenced isolates were identified as Pseudocitrobacter faecalis (-), Escherichia coli (-), Bacillus tropicus (+), Citrobacter koseri (-), Providencia burhodogranariea (-), Enterobacter hormaechei subsp. Xiangfangensis (-), Bacillus pumilus (+), Lysinibacillus boronitolerans (+), Klebsiella aerogenes (-), Klebsiella pneumoniae subsp. rhinoscleromatis (-) 2 isolates, and Acinetobacter baumannii. The TEM, SHV-1 and CTX-M genes were detected in the Citrobacter koseri isolate, while the TEM and SHV-1 genes were also found in the Escherichia coli isolate. The high rate of resistance in bacteria observed is alarming. Adequate milk storage procedures and antibiotic usage in dairy cattle farms must be regulated for safety. It is recommended that antibiotics should not be used in farm animals unless when highly necessary.
Molecular Characterization of Ixodid Ticks Infesting Cattle
Authors: Oladosu O O , Oyeku O G , Olatubi I V , Ayokunle D I , Okotie S O , Jibiri T M , Atobatele O E 
Published: August 2023

Abstract
There is great diversity of ticks with only three genera; Amblyomma, Hyalomma, and Rhipicephalus known to have highest impact on livestock health. Ticks suck blood and release toxic secretions from saliva through their mouth appendage into cattle resulting in anaemia, skin damage, inflammation, paralysis, reduced weight gain, and reduction in milk production. Proper tick identification is imperative to understand tick-borne pathogens as well as determine control measures. Molecular approach has made the identification of tick species easy. This study therefore used molecular tools to determine the identity of ticks collected from cattle in Iwo Osun state, Southwest Nigeria. Cross-sectional study of ticks was done in August 2022. Different species of ticks (n = 268) were collected from cows. The samples were collected in sterile tubes and stored in 70% ethanol before DNA extraction, amplification and sequencing. Ticks were morphologically identified using available keys. Amblyomma, n=170 (63.4%), Hyalomma, n=61 (22.8%) and Rhipicephalus, n=37 (13.8%) were identified. Molecular and phylogenetic analysis of the two morphotypes whose cytochrome c oxidase subunit 1 (COI) gene amplified revealed that they were Amblyomma variegatum and Rhipicephalus microplus. This study characterized Amblyomma variegatum and Rhipicephalus microplus ticks by sequencing the COI gene and it expands the knowledge of tick parasitofauna on cows in Iwo Osun state, Southwest Nigeria.
Factors influencing milk production among dairy farmers in Southwest, Nigeria
Authors: Komolafe P O , Ayandiji A 
Published: August 2023

Abstract
It is estimated that herds of cattle worth $18.2 million are reared and 82% of these animals are raised in an extensive system but Nigeria spent about $1.2 billion on milk importation, this indicates that the nation is still far from sustainability. The study examines the management practices of dairy farmers, sources of information, challenges, and factors that influence milk production in the study area. The study area covered Southwest, Nigeria. A multi-stage sampling technique was used to select 293 respondents. Data were analyzed using descriptive and influential statistics. The result shows that the majority of the respondents were between 51-60 years, married, with no formal education, and had 21-30 years of farming experience. The majority produced an average of 11-20 liters of milk per day, radio was their main source of information, challenges faced by dairy farmers were the health of the animal, climate change, and breed of the animals. The factor influencing the farmers’ decision is the milking of animals (P>0.032). It is concluded that dairy production in the study area is not thriving as expected due to the above challenges. Therefore, dairy farmers need more orientation, government support, and training on the intensive management system.
Efficacy of water extracts of mushrooms on multidrug-resistant bacteria isolated from raw cow milk
Authors: Owoseni Abimbola A , Adeleke Olufeyikemi A , Nejo Yewande T 
Published: August 2023

Abstract
The high rate of antibiotic-resistant bacteria observed in food samples has been alarming. The majority of the antibiotics now used in medicine have become ineffective against groups of bacteria. The use of bioactive substances from natural products against antibiotic-resistant bacteria is becoming attractive. Mushrooms are natural reservoirs of potent pharmaceuticals and are now the new interface for drug discovery. Aqueous extracts of five medicinal mushrooms namely Agaricus sp., Pleurotus pulmonarius, Pleurotus oestratus., Lentinus sp. and Ganoderma were prepared. Bacteria were isolated from raw cow milk using standard techniques and antibiotic sensitivity testing was carried out using 6 antibiotics. The efficacy of the mushroom extract was tested on 12 MAR bacteria using the disc diffusion method. It was observed that the aqueous extracts from the two Pleurotus spp were very active in killing the bacteria. Pleurotus oestratus was active against 5 isolates while Pleurotus pulmonarius was active against 3 isolates. Agaricus and Lentinus extracts were active against 4 isolates each while Ganoderma was active against only 3. Bacillus tropicus, Enterobacter hormaechei and Klebsiella pneumoniae isolates were totally resistant to the effects of the extracts. This study shows the effectiveness of mushroom aqueous extracts. This may be used to reduce bacterial load in food especially milk so as to prolong its shelf life in the natural state.
Effects of combined nitrogen-nutrient sources on lowland rice straw yield (a potential dairy feed) in a derived savannah ecology
Authors: Iyanda Olumayowa Joseph , Oyekanmi Akeem Abdullahi , Atayese Mufutau Olaoye , Adejuyigbe Christopher , Bamigboye Funmilayo 
Published: August 2023

Abstract
Low rice yields in farmers’ fields arise from inadequate nitrogen in most Nigerian soils. Fertilizer use has increased, particularly with the implementation of COVID-19. Straw is a by-product of cereal plants, consisting of dry stalks left over after the grain and chaff. It accounts for cereal crop yields, such as barley, oats, rice, rye, and wheat. The effects of greenhouse gas emissions from burning straw on the climate have been a cause for alarm. As a result, this study in Abeokuta, Southwest Nigeria, investigated the effects of six levels of integrated nutrient sources on NERICA L-34 and ARICA 3 through the analysis of variance in straw yield data. The experiment used a split-plot design, complete block randomization, and treatment arrangements in triplicate. At harvest, ARICA 3 produced significantly more straw (p = 0.05) (14.04 t/ha) than NERICA L-34 (10.44 t/ha) by combining 50 kg N/ha (NPK 15:15:15) with 50 kg N/ha (poultry manure) (10.12 t/ha). The study improved the straw yield (11.4 t ha−1) of ARICA 3 and NERICA L-34 by 50 kg N/ha (NPK 15-15-15) and 50 kg Nha−1 (poultry manure); thus, this straw could be used as dairy feed.
Study of the technical and financial aspects of traditional fads for the bajo tribe, Torokeku Village
Authors: Fajriah  , Nurdin I N , Isamu K T , Suwarjoyowirayatno  , Sari S F 
Published: August 2023

Abstract
Effective and efficient fishing is very much needed in capture fisheries business. FADs are tools that are widely used by fishermen to fulfill this. This study aims to describe the technical aspects and analyze the financial aspects of the traditional Bajo FAD business in Torokeku Village, South Konawe Regency, Southeast Sulawesi. The research method uses case studies with data collection techniques, namely direct measurements, following FAD installation activities on the seabed, following fishing operations, and interviewing fishermen. The results showed that technically the traditional FAD construction consisted of a FAD body consisting of 100 sticks of forest wood tied using a rope made of polyethylene and 50 stalks of coconut leaf attractor. The results of financial calculations in 1 year show that the investment cost is Rp. 10,000,000; fixed cost Rp. 3,100,000; variable fee Rp. 2,400,000; total cost Rp. 5,500,000; an average production value of Rp.60,000,000; profit Rp. 54,500,000; BCR 9.9; BEP sales Rp.3.229.167; the average profitability is 9.9% and the payback period is 0.18 (1 month 2 weeks). The results show that the traditional Bajo FADs are profitable. The profit-sharing system applied is 60% for fishing gear owners and 40% for FAD owners at each fishing operation.
Identification and productivity of lobster catching (Panulirus spp) in Aceh Jaya
Authors: Akmal Y , Irfannur I , Muliari M , Yunus M , Plumeriastuti H , Dhamayanti Y , Batubara A S 
Published: August 2023

Abstract
Lobster is a leading commodity in Aceh Province and it is one of the commodities with a high economic price. Besides, it is believed that Aceh Jaya Regency has superior fisheries commodities. This study aims to describe the composition of the catch, the relationship between the length and the weight and the productivity of the catch on six different types of lobster in Aceh Jaya. The study was conducted from June to August 2022 in the waters of Aceh Jaya, Setia Bakti District, Lhok Rigaih Village. The study focuses on the catch composition, length-weight relationship, and the measurement of the catch productivity. The types of samples taken were six species including Panulirus homarus, P. longipes, P. penicillatus, P. versicolor, P. ornatus and P. polyphagus. The composition of the total lobster catch was dominated by Panulirus penicillatus 23.94%, followed by P. versicolor 19.71%, P. homarus 18.30%, P. longipes 18.30%, P. ornatus 18.30%, and P. polyphagus 1.40%. The composition of the weight of the catch was dominated by Panulirus versicolor 23.20%, followed by P. longipes 22.79%, P. homarus 19.41%, P. penicillatus 17.42%, P. ornatus 17.02%, and P. polyphagus as 0.13%. The relationship between the length and the weight of these six types of lobster catch were allometric negatives. The productivity of lobster catch using gillnet fishing gear averaged 226.66 kg in April 2021, 293.51 kg in June, and 141.53 kg in December. The catch in January 2022 was 437.26 kg, meanwhile in February was 77.87 kg, followed by April 358.85 kg.