bluuebunny/crossref_metadata_2025 huggingface dataset:
Direct separation and charaterization of lignin from paper black liquor
Authors: Sun Zhongbo
Published: December 2024

Nowadays, the demand for energy is increasing day by day, but fossil energy, such as oil, is becoming more and more exhausted with people's over-exploitation. The most abundant renewable carbon source on the earth is lignocellulose, which has attracted worldwide attention as a substitute for non-renewable resources such as natural gas. Lignin is one of the three main chemical components of plant fiber, serving as a natural aromatic polymer biomass resource to reserve secondary cellulose, and also a key component of paper black liquor in chemical pulp mills. In this experiment, paper black liquor was prepared, characterized, and various data such as pH were determined. Subsequently, the paper black liquor was separated by methanol, with its pH adjusted to 8~12 before being treated with acid to adjust the pH to 2~5. Following acid and methanol separation, the paper black liquor was further characterized through determination of ultraviolet data for calculating lignin yield, infrared spectrum analysis, molecular weight (Mn) determination for lignin samples, and thermal weight analysis. Ultimately, these methods were compared to identify more effective ways of separating lignin from paper black liquor for better utilization.
The effect of gut microbiota on patients with irritable bowel syndrome and depression comorbidity
Authors: Zhao Yiwen
Published: December 2024

Irritable bowel syndrome (IBS) common conditions that plague many people and can be related to an imbalance in the gut microbiota. In addition, IBS may be complicated by depression, but the impact of gut microbiota on people with IBS and depression has not been determined. This study investigated the effect of gut microbiota on complications of IBS and depression via the ‘gut-brain’ axis. We performed metagenome sequencing for the stool samples collected from healthy controls and from patients with IBS, depression, or the comorbidity of IBS and depression (I&D). Next, we conducted a metagenomic analysis to compare the gut microbiota between different sample groups. We found that Bacteroidales and Clostridiales, including Lachnospiracea_incertae_sedis, Blautia, Faecalibacterium, Coprococcus, Ruminococcus, Paraprevotella, and Gemiger, are major gut microbiota in IBS and depression. This study provides a theoretical basis for the prevention, diet, or other treatment of IBS and depression complications.
Single-Cell RNA Sequencing: Exploring the Cellular Landscape and Interactions in Hepatocellular Carcinoma
Authors: Wei Wenyi
Published: December 2024

In this study, we delved into the intricate cellular landscape and interactions within hepatocellular carcinoma (HCC) using single-cell RNA sequencing (scRNA-seq). Our analysis uncovered a diverse array of cell types present in HCC tumors, including endothelial cells, fibroblasts, hepatocytes, Kupffer cells, macrophages, neutrophils, NK cells, pericytes, and proliferating cells. By examining the expression profiles of key marker genes, we elucidated the distinct transcriptional signatures associated with each cell type. Notably, we observed upregulation of certain genes associated with tumor progression and metastasis, highlighting potential therapeutic targets. Additionally, our study revealed the relative proportions of each cell type within HCC tumors, shedding light on the complex cellular composition of these malignancies.
HOG1 plays a role in regulating tolerance of various inhibitors in Saccharomyces cerevisiae
Authors: Li Chenhao
Published: December 2024

The use of abundant, green and renewable lignocellulose to produce fuel ethanol is expected to solve the problem of energy shortage. The complex structure of lignocellulose is difficult to be efficiently degraded by microorganisms, and it needs to be converted into monosaccharides such as glucose (C6) and xylose (C5) through pretreatment, enzymatic hydrolysis and other steps before it can be utilized by fermentation microorganisms. Saccharomyces cerevisiae has the advantages of short growth cycle, strong fermentation ability, easy large-scale culture, and strong environmental adaptability. It is an ideal strain for the production of traditional fuel ethanol. Various inhibitors produced during lignocellulosic pretreatment had a great negative effect on the growth and glucose xylose metabolism of S. cerevisiae. Therefore, it is particularly important to improve the tolerance of S. cerevisiae to different inhibitors in lignocellulosic components. In this work, we found that HOG1 gene in S cerevisiae plays an important role in the regulation of acetic acid, furfural, vanillin, and other components of lignocellulosic components. HOG1 gene deletion strains are significantly inhibited under the condition of a single inhibitor, showing sensitivity to different inhibitors.
Research progress on production methods of ε-poly-l-lysine
Authors: Guo Yangzi , Li Kunpeng , Sun Xinjie , Xi Xiangheng Xi , Jiang Xinyue , Ren Xidong , Ma Yunzhe , Liu Xinli
Published: December 2024

ε-poly-l-lysine (ε-PL) is a safe and environmentally friendly natural biological preservative, by 25~35 lysine residues through the intermolecular carboxyl group and amino amino condensation to form an amide bond to form l-lysine homopolymer, with high antibacterial activity, degradation in the human body must l-lysine, used in food and cosmetics and other industries. It is widely used in the United States, Japan and China. At present, the production cost of ε-PL is too high, and it is mainly produced by the fermentation of Streptomyces, but the Streptomyces is a non-GRAS(Generally Recognized As Safe) strain, not a general food-grade strain certified by the US Food and Drug Administration. In this review, the current biotechnological fermentation methods of Streptomyces albicans to produce ε-PL and the research progress of heterogenic expression of ε-PL through genetic engineering were reviewed. Increasing the output of ε-PL is of great significance for breaking the technological blockade and improving the core competitiveness of our country. The purpose of this review is to use genetic engineering technology to combine fermentation production, improve the yield of ε-PL from the genetic level, construct food-grade production strains, and further expand the method of ε-PL production.
Evaluating the Impact of Online Database Integration on the Performance of a Sun Glare Detection Model: A Case Study from a Chinese High School Gym
Authors: Ma Yibo
Published: December 2024

The Rob flow sun glare dataset is integrated with the study to train the model to achieve the best performance for object detection on sun glares in a Chinese school gym. The results demonstrate that models trained with “Robflow” data have the worst performance, and models trained by combining the local and “Robflow” data perform slightly worse than those trained with local data. However, the models trained with combined data require fewer epochs to reach high performance and are more stable than those trained with local data.
Study on the Interface Characteristics in Si-C Composite Anode Materials
Authors: Huang Zhaowen , Li Youpeng , Liu Jingbo , Hou Xianhua
Published: December 2024

Due to the volume expansion during the lithium intercalation and deintercalation process, the carbon layer of silicon@carbon gradually falls off, exhibiting low capacity or poor cycling stability. The role of Si-C bonding and interface characteristics in Si@C composite materials on material cycling stability is still unclear. Based on the first principle method, the Si-C bonding and lithium intercalation and deintercalation properties of two Si-C alloys with different space group were studied. The results show that the lithium intecalation formation energy of SiC-1 is only 0.158 eV, much lower than the 0.6537 eV of SiC-2. The volume expansion ratio after lithium intercalation is only 38.9064%, which is basically equivalent to graphite. The bonding mode between Li-Si and Li-C determines whether lithium ions can be reversibly released. The bonding strength of Si-C bonds plays a stabilizing role in the lithium intercalation and deintercalation process, which is beneficial for reducing the volume expansion ratio of lithium intercalation.This work has certain guiding significance for the research of silicon carbon anode materials with high capacity and long cycilc life.
Inference Method for Traffic Accident in Highway Monitoring Blind Based on Running Speed
Authors: Cui Yan , Yang Xingtao , Zhang Sibo , Zou Haiyun
Published: December 2024

This study proposes and validates an inference method to detect abnormal traffic events in highway monitoring blind spots by analyzing vehicle speed data from adjacent monitoring areas. Utilizing simulation tools such as Vissim and LumenRT, various realistic traffic scenarios were designed to collect comprehensive data on vehicle speeds. Cross-correlation and Pearson correlation coefficients were employed to identify time lags and quantify the relationship between speeds in different sections. The results indicated a significant correlation under normal conditions and a marked decrease during abnormal events. This method provides a reliable approach to enhancing the detection of traffic anomalies, improving highway safety and efficiency. The implications of this research suggest that integrating such methods into existing traffic management systems can offer a more comprehensive surveillance framework, with potential for future enhancements through real-world validation and the inclusion of additional variables.
Optimizating Sporadic Data Transmission for mMTC in 5G Networks
Authors: Shen Qingguo , Luo Fan , Qiu Ruiqi , Hou Zulei
Published: December 2024

In response to the explosive growth of massive Machine-Type Communication (mMTC) terminals in 5G networks, this paper proposes an optimization method for sporadic mMTC data transmission in 5G based on grant-free radio bearers. This method achieves efficient access and resource sharing among mMTC terminals through sharing pre-configured radio bearers. Additionally, an uplink grant-free random access mechanism is introduced to ensure that terminals are only activated for necessary data transmissions, then automatically entering a low-power sleep state. By optimizing the design of the air interface protocol stack, transmission delay and operating cost of the system are significantly reduced, and data transmission efficiency is further improved. The paper also explores the application of this method in satellite networks, demonstrating in detail its capacity to substantially reduce signaling overhead and enhance network performance for mMTC data transmission. This method has broad application prospects in 5G and satellite communication networks.
Power grid fault comprehensive analysis model and monitoring method
Authors: Guo Xinbo , Shi Liqing , Kang Rui , Wang Jun , Liu Yitian
Published: December 2024

This paper proposes a fault prediction method based on disaster meteorology and real-time monitoring of power grid faults, to provide important data support for early warning and emergency start and on-site emergency repair of power grid companies. When there is ice, wildfire, flood, typhoon and other disasters, the probability of power grid failure will greatly increase. Through the previous historical data analysis, predict the scale of power grid failure and main areas, so as to prepare corresponding materials and personnel. When disaster weather occurs, monitor all kinds of power grid fault signals in real time, conduct power grid fault analysis, real-time analysis of power grid fault and the affected lines, transformers, communities, users and other data, grasp the latest state of power grid fault, and then provide important data support for emergency rescue.
Study on the Optimization of Pump Configuration for Second-Order Raman Fiber Amplifier
Authors: Huang Wen , Zhao Xianhong
Published: December 2024

In this paper, a method for optimizing the forward second-order distributed Raman fiber amplifier (RFA) is proposed. The aim is to optimize the output gain profile of signal light, reduce gain flatness, and decrease the bit error rate (BER) in the subsequent receiving system. Specifically, the Raman theoretical model is solved using the fourth-order Runge-Kutta method in MATLAB, and the particle swarm optimization (PSO) algorithm is applied to appropriately adjust the pump parameters to achieve the objective. In the simulation experiments, a gain bandwidth of 90 nm, an average gain of 30 dB, and a gain flatness of 2.21 dB were ultimately obtained.
Overall design and cam optimization study of 8-shaped thermal energy car based on motion trajectory iteration
Authors: Wu Hui , Song Aoqi , Yang Qizheng
Published: December 2024

In the seventh National College Student Engineering Training Comprehensive Ability Competition in 2021, we conducted an innovative design. This design utilized alcohol thermal energy as the power source and achieved an obstacle-avoiding car. Its purpose was to address the challenges faced during the motion of a thermal energy car, particularly addressing the issue of distortion in the cam tip and push rod caused by high-speed rotation of the Stirling engine. To overcome this problem, we carried out optimization design of the car's cam and trajectory simulation research. After 20 rounds of optimization, the cam tip became smoother. Compared to cases without optimization or with only 10 rounds of optimization, the effect was significantly improved. Additionally, through MATLAB trajectory simulation verification, we observed that the time required for the car to bypass obstacles became more reasonable. Finally, through physical testing, we successfully demonstrated the stability of the car's operation and the appropriate distance between its trajectory and obstacles. This means that we have successfully completed the obstacle-avoidance task. This design not only provides ideas and methods to solve the distortion of the push rod and optimize the trajectory of a thermal energy car but also showcases its excellent quality.
Performance Evaluation of Temporal Epistemic Property for Multi-Agent System
Authors: Zhou Yuan , Cao Zining , Zong Hui , Yu Qixian
Published: December 2024

This paper introduces a new performance evaluation language MAEL (Multi-Agent Evaluation Language). Compared to traditional evaluation methods, MAEL incorporates the epistemic logic, enabling precise descriptions of the interactions, collaborations among agents, as well as their epistemic states of the environment. Through knowledge operators, MAEL can express the agents' knowledge of the system's state. This paper demonstrates the advantages of MAEL in analyzing performance aspects such as safety and efficiency through a case study of an autonomous vehicle platoon.
Study on Evaluation Indicators for Structural Damage of Pavilion and Dense-eaves Brick-and-stone Ancient Pagodas
Authors: Tang Yongjing , Yuan Yu , Hua Lei , Milani Gabriele
Published: December 2024

The pavilion and dense-eaves structures are the most commonly used forms of brick-and-stone ancient pagodas. Due to the extensive temporal and regional distribution of these ancient pagodas, accurately evaluating the structural damage and safety levels of pavilion and dense-eaves brick-and-stone pagodas is extremely challenging. Based on existing research results on the damage and assessment of brick-and-stone ancient pagodas and continuous attention to their current status, we have chosen the most common used pavilion and dense-eaves structures among brick-and-stone pagodas. According to the typical parts of their architectural structures, construction materials, and building techniques, and considering the effects of earthquakes and climate, we describe the damage to brick-and-stone pagodas and its extent. We propose a safety assessment model for brick-and-stone pagodas.
Sentiment Analysis Model Based on Little Red Book Data
Authors: Wang Yunting
Published: December 2024

This paper presents a comprehensive sentiment analysis model tailored specifically for the data extracted from Little Red Book (Xiaohongshu), a prominent Chinese social commerce platform. Leveraging the abundance of User-Generated Content (UGC) on Xiaohongshu, our research focuses on the potential of graphic and textual data to provide invaluable insights into consumer sentiment and behavior. We designed and implemented a novel sentiment analysis model that integrates CNN with BiLSTM, fortified by TF-IDF for text representation. Our model capitalizes on the strengths of CNNs in feature extraction and BiLSTMs in understanding contextual dependencies across the text, ensuring precise sentiment classification. By pre-processing the raw data, converting textual information into TF-IDF vectors, and subsequently applying convolutional and pooling layers, our model extracts meaningful features that are then fed into the BiLSTM layer for deeper contextual comprehension. To validate our approach, we constructed a dataset comprising 2000 articles manually labeled into three types. We set training, validation, and testing sets to rigorously evaluate model performance. Results show the goodness of our model, achieving an accuracy rate of 93.46%, outperforming single CNN, LSTM, or BiLSTM models.
Innovative Design Applications of AIGC in Costume Design for Drama and Film：A case study of opera Turandot
Authors: Li Xinhui
Published: December 2024

In the context of the rapidly developing global technological revolution of Generative AI (AIGC), actively exploring how to utilize artificial intelligence technology and empower design field is of significant importance for advancing design to keep pace with the times and for promoting industry and creative development. This article employs the method of fine-tuning the Stable Diffusion model using the LoRa model to design for theatrical and film costumes. It trains the opera stage costume style and the design elements of this case into a stylized LoRa mode. The results indicate that combining generative AI with a professional design perspective, by building workflows and stylized fine-tuning models, can produce line up that are relatively stable in style and meet the practical needs of theatrical and film costume design, greatly improving the efficiency of style transfer and design work.
A Novel Three-dimensional Reconstruction Method Based On Customs Airports’ Image Segmentation
Authors: Sun Jiakang , Pu Yanfeng , Wang Ting , Yang Guoping
Published: December 2024

In the process of implementation supervision of customs and air ports, personnel may encounter sudden health conditions, such as fainting and other emergencies, when fast and accurate human brain scanning and three-dimensional modeling is crucial. In this paper, we propose an improved three-dimensional modeling method aimed at solving the problem of hollow edges in three-dimensional models. We use several sets of image samples from customs imaging equipment for three-dimensional modeling experiments. The experimental results show that the three-dimensional models reconstructed by the improved surface rendering algorithm are smoother and the reconstruction time is significantly shortened, which provides efficient technical support for emergency response in customs security monitoring.
Vehicle Communication Data Processing and Security Analysis
Authors: Xue Shihao , Chen Yang , Ning Yuqiao , Guo Zhen , Huo Quanrui , Ren Shixuan
Published: December 2024

In the process of vehicle design, production, sales, use, operation and maintenance involving personal information data and important data risks are increasingly frequent, automobile manufacturers, parts and software suppliers, dealers, maintenance organizations and travel service companies, etc. in the data collection, transmission, use, destruction and other processes of many accidental operations can cause a large number of vehicle driving data, vehicle user privacy data leakage, these data may be used in illegal transactions, resulting in corporate image, personal life is affected. This paper first introduces the basic data and the main code tools required for the analysis of data in the vehicle networking, and then from the data extraction of different fields, a variety of analytical ideas perspective on the vehicle transmission traffic packets, according to the experience of the exclusion of third-party interference with the data, can be used for the vehicle enterprises, third-party testing organizations, technicians in monitoring the enterprise traffic data in the process of making reference.
Research on Rumor Recognition in the Medical and Health Field Based on the Neural Network Model
Authors: Li Mingfei
Published: December 2024

In the digital age, social media has been a vital platform for the public to obtain information and exchange opinions. However, with the accelerating and expanding information dissemination, false information in the healthcare field has begun to spread continuously, posing a threat to the daily life of the public and social construction, especially in epidemic-like public health emergencies. Such a problem is particularly prominent. With the CoAID: COVID-19 rumor dataset from Twitter as experimental data, this paper uses three types of commonly used neural network models for training and testing, and discusses the application of WordNet semantic enhancement technology in rumor recognition, so as to explore the application of these methods to specific research applicability. By comparing and analyzing the recognition effects of different models, this paper investigates the models suitable for health rumor recognition, and puts forward corresponding improvement strategies. Aiming to provide insights and methods for the identification and management of social media health rumors, this paper further improves the credibility and quality of social media health information.
A Five-finger Pneumatic Mechanical Claw Designed by SolidWorks and Analyzed by ANSYS Workbench Simulation
Authors: Liu Guanxu
Published: December 2024

With the development of industrial automation and robotics, mechanical claws are increasingly vital in modern manufacturing. In this paper, a five-finger pneumatic mechanical claw is designed and analyzed, which simulates the human hand in its structure with high flexibility and adaptability. SolidWorks is used to model the mechanical claw in three dimensions, and its transient simulation analysis is implemented by ANSYS Workbench to evaluate the performance and reliability in practical work. The results show that such a mechanical claw with good mechanical properties and dynamic response can grasp objects of various shapes. The mechanical claw can complete the grasping action in a short time with a stable dynamic response, which meets the requirements of practical applications.
Investigating the absorption and scattering effects of light in different solutions and colloids: an experimental investigation based on Lambert's law and the scattering theorem
Authors: Song Xinglin
Published: December 2024

In chemistry experiments to determine the concentration, light passing through the liquid is mainly considered its absorption effect, i.e., the Lambertian effect. In the actual process, the light through the liquid will also produce part of the scattering and reflection. Therefore, this paper will be based on the effect of light scattering to "expand" the Lambert-Biel effect, that is, considering the simultaneous existence of light absorption and scattering, the use of spectrophotometry, the actual phenomenon of light through the liquid for qualitative and quantitative analysis. Based on this, the paper proposes two conjectures about the relationship between the absorption and scattering of light through the liquid to be measured and establishes two weighting factors. In the experimental stage, this paper mainly used the controlling variables to measure the absorbance of four liquids (milk colloid, copper sulfate solution, sodium chloride solution, and solution mixed with sodium chloride and copper sulfate phase) at different wavelengths and concentrations. In the data processing stage, the paper finalized one of the conjectures by initially analyzing the data obtained from the experiments, derived the function to be fitted from the experimental data, and verified the conjecture proposed in this paper through the correlation of the fit. The method proposed in this paper helps to understand further the relationship between the scattering and absorption of light as it passes through a liquid.
Research on the Influence Mechanism of College Students’ Traffic Travel Mode Based on Association Rules
Authors: Feng Zhun , Zhu YuXuan
Published: December 2024

The means of transportation chosen by college students are influenced by many factors. It is important to find out the mechanism of its influencing factors for the analysis of college students’ travel, which helps to improve the environment of their travel. Due to the coupling of various influencing factors, it is difficult for traditional statistical analysis to get intuitive and accurate results. By the association rules in the data mining, the relationship between different factors can be found and the effect of each influencing factor on the choice of travel vehicles can be calculated. In this paper, the Apriori algorithm based on association rules is used to analyze the influencing factors of college students’ choice of transportation mode in Beijing. The results show that the three factors with the greatest influence on college students’ choice of travel mode in Beijing are weather, expense cost and personal characteristics. By mining the internal relationship among various factors, the intuitive data results can be obtained, which can be used as references for relevant departments to adjust the existing traffic layout and plan future traffic development.
Disaster Preparedness of Generation Y Nurses and Related Factors
Authors: Şimşek Yunus , Alan Handan
Published: December 2024

Generation Y nurses constitute the majority of hospital staff. Therefore, it is important to determine the influencing factors by understanding their core competencies in the event of a disaster. The purpose of this study is to determine the core competencies of Generation Y nurses in disaster situations and to compare their personal and professional characteristics and experiences in disaster situations. The study was designed as a descriptive cross-sectional study with an online survey that included demographic information and the Nurses’ Perceptions of Disaster Core Competencies Scale and conducted with 408 participants. The mean score of Generation Y nurses on the NPDCC was 151.18±30.11, and according to the subscales, they scored the highest on infectious diseases and outbreaks (6.04±3.04) and the lowest on nuclear accident preparedness (3.21±2.26). Educational level and the institution in which they work were found to be statistically significant differences in overall NPDCC in comparisons by nurses’ personal and professional characteristics, with postgraduates and nurses working in a university hospital scoring higher (p.05). It is recommended that disaster core competency training programmes take into account generational differences.
Estrategias de sostenibilidad empresarial en agencias de viajes de la provincia de Manabí – Ecuador
Authors: Farfán Loor George Carlo , Poveda Cedeño Eliana Lilibeth
Published: December 2024

Tras la pandemia mundial del 2020, las agencias de viajes han tenido que cambiar radicalmente su enfoque operativo hacia prácticas sostenibles para asegurar su supervivencia a largo plazo. El objetivo de este estudio es describir las estrategias de crecimiento económico y sostenibilidad empresarial implementadas por las agencias de viajes de la provincia de Manabí, Ecuador, para el año 2021. Se empleó un enfoque descriptivo, cualitativo y transversal, combinando análisis y síntesis del material bibliográfico, con una entrevista dirigida a 10 gerentes de agencias de la provincia. Se encontró que el 99% de las agencias ajustaron sus servicios según las demandas del cliente, destacando la personalización y la integración de nuevas tecnologías. Las estrategias de sostenibilidad de las agencias de viajes de Manabí se enfocan en respaldar a la comunidad local y promover prácticas éticas entre competidores, reconociendo la importancia del turismo sostenible para el desarrollo regional.
Importance of miRNAs in Cancer Therapy and Therapeutic Delivery Approaches
Authors: Gültekin Esra Nur , Marakli Sevgi
Published: December 2024

Uncontrolled cell division and proliferation due to environmental and genetic factors are characteristics of cancer. Despite traditional treatments such as surgery, chemotherapy and radiation therapy, the incidence and mortality rate of cancer increases every year. Therefore, it is necessary to improve new treatment strategies such as microRNA (miRNA). miRNAs are non-coding endogenous RNA molecules with 18-22 nt in length. They regulate important pathways in different cancer types and play active roles in mechanisms such as proliferation, migration, apoptosis and invasion. Due to their functions in the pathogenesis of cancer as oncogenic or tumor suppressors, miRNAs have been currently used as therapeutic agents. However, the limited biological stability, inability to diffuse into the target tissue and their degradability by nucleases of miRNAs are disadvantages of miRNAs. Viral and non-viral miRNA delivery systems provide high transfection to target tissue and avoid nuclease-induced degradation. This study highlights the importance of miRNAs’ regulatory involvement in cancer processes and therapeutic delivery approaches.
Black Plum (Syzygium Cumini) Seeds Adsorbent for Underground Water Nitrate Attenuation and Statgraphics Optimization
Authors: Abdul Aminullah Zakariyyah , Aja Ali Abba , Nneka Eze Cordelia , Abubakar Abdulhalim Musa , Laghari Mahmood
Published: December 2024

Nitrate (NO3–) pollution of water sources are a global issue, and gets transformed into nitrite (NO2–) when in contact with the saliva, resulting in a significant health implication. Groundwater from Tandari Budum, Maiduguri, Nigeria, was denitrified in this study by varying the black plum seed (BPS) adsorbent dosage, contact time, temperature and pH in the range of 0.1-1.0g, 20-140 min, 30-90℃ and 5-11, respectively. From the Draper-Lin small composite design (DSCD) 18 runs optimization studies on NO3– concentration and adsorption capacity () responses carried out, it was found that time and temperature have the most impact on the process. For NO3– reduction to 45 mg/L maximum value, optimal factors were 60℃, 80-85 min, pH = 8 and 0.4g dose; whereas for  (13.7 mg/g), it is pH = 8, dose = 0.4g, 20 min time and 39℃. There was an observed slight similarity (in the optimal outputs), differences (in the optimal factors) and discrepancies in results obtained from non-standardized experimental runs conducted initially when compared with the DSCD design of experiment (DOE). But then, the Statgraphic Centurion 19-X64 v. 19.6.04 software analysis gave a more reasonable findings, which fits a quadratic model at R2 = 0.9295 (predicted NO3– reduction) and 0.9068 (estimated ). Since an alkaline pH, shorter time, moderate temperature and little resources are needed to attenuate NO3– (initially at 123 mg/L) from Tandari Budum groundwater, BPS is a novel adsorbent discovered in this study, corresponding to 63.41% removal efficiency.
Exploring Migration as a Climate Change Adaptation Strategy for Agro-pastoralists in Kasulu District: Benefits and Challenges
Authors: I. Mwasha Saumu
Published: December 2024

Migration is acknowledged, promoted and widely regarded as one of the adaptation strategies to environmental change in different parts of Africa. However, its benefits and challenges have not been contextually examined and exhaustively analysed. This study employed the push and pull migration theory to investigate opportunities and challenges that result from migration to understand its strengths and weaknesses, and how its implications are linked to issues of migrants’ climate change adaptations in Kasulu District, Tanzania. Purposive sampling was used to select the study district, participants for focus group discussion, and key informants. Observation, key informant interviews and six separate FGDs were conducted to both agro-pastoralists and farmers. The findings demonstrate that agro-pastoralists exploited opportunities in the places of destination through asset accumulation and by performing different livelihood activities. However, in pursuit of their livelihoods they also contributed to resource degradation and conflicts with local farmers; which were a result of the migrants’ inappropriate integration in the host society, and were influenced by different actors, including individuals from both host and migrant communities, as well as institutions in host societies. All this challenges the notion that agro-pastoralists migration is an effective form of adaptation to environmental change in general, and climate change in particular. Migration has a potential of being an effective climate change adaptation strategy; however, it requires the government to coordinate the movement and regulate its activities to reduce conflicts with host communities, as well as resource degradation.
CAMINHOS DA DOCÊNCIA
Authors: Nunes Alves Janainne
Published: December 2024

Educar pressupõe o aprendizado contínuo, construído a partir das experiências diárias. Fatores emocionais, cognitivos, convivências interpessoais e relações com aspectos da sociedade, como cultura, economia e tecnologias, impactam a prática educacional, à medida em que são fontes para a reflexão e formação de opinião. Logo, as práticas de cada professor resultam não apenas do conteúdo estudado, mas também da trajetória de vida que cada um percorre. Complementarmente, a troca de experiências entre professores corrobrora com a socialização de saberes e afirmação dos valores destes profissionais enquanto classe. Nessa perspectiva, o presente relato de experiência teve como objetivo refletir sobre minha trajetória na docência a partir de algumas percepções de Antônio Nóvoa, Bernardete Gatti,  Paulo Freire e Vygotky.
MULHERES E CIÊNCIA NO IFNMG/CAMPUS ALMENARA: análise da produção acadêmica e da inserção em projetos de pesquisa
Authors: Pereira Matos Roberta , Moreira Gama Ednilton , Rodrigues Portugal Isa Kelly , Ribeiro Araújo Rodrigo
Published: December 2024

A participação feminina na ciência tem uma trajetória rica e complexa, marcada tanto por avanços significativos quanto por desafios persistentes. Nesse sentido, o presente trabalho tem como objetivo analisar a produção acadêmica e a participação das mulheres em projetos de pesquisa no IFNMG/ Campus Almenara, a partir da análise dos currículos Lattes de 14 servidoras efetivas que submeteram algum projeto na coordenação de pesquisa do campus. Foi realizada uma pesquisa documental, cuja coleta de dados foi no mês de agosto de 2024. Os resultados mostram que as pesquisadoras vêm avançando nas publicações, mesmo com as dificuldades impostas pela carreira e por questões relacionadas ao ser mulher.
Prva habsburško-beneška vojna in dnevnik Leonarda Amasea iz obdobja 1508‒1510
Authors: Makuc Neva
Published: December 2024

The paper is a contribution to the study of the history of emotions based on Leonardo Amaseo’s extensive and very content-rich diary from between 1508 and 1510, the period of the ﬁrst Habsburg-Venetian war as part of the Italian wars. Through an in-depth critical reading of the source and by taking into account the author’s perception of the war situation and the threats of war at the time, it is possible to explore emotional aspects at the direct and indirect levels. The author’s constant attention to the outbreak, escalation, or paciﬁcation of the conﬂict is expressed, reﬂecting his deep concern or fear of war and its aftermath, as well as his persistent hope for peace.
Manevi Danışmanlık ve Rehberlikte Anadolu Bilgeliği Bağlamında Mesnevi Üzerine Terapötik Analizler
Authors: Tosun Muhammed
Published: December 2024

Bu makalede, Mevlânâ’nın Mesnevi adlı eserinin manevi danışmanlık ve rehberlik uygulaması süreçlerinde bibliyoterapi tekniği materyali olarak kullanılabilirliği ele alınmıştır. Anadolu bilgeliğinin önemli bir temsilcisi olarak görülen Mevlânâ’nın öğretilerinin, manevi danışmanlık ve rehberlik uygulamalarında bireylerin manevi ve psikolojik iyi olma durumlarına katkı sağlayabilecek zengin bir terapötik kaynak sunduğu ifade edilmiştir. Araştırmada, Mesnevi’de yer alan sevgi, sabır, yardımseverlik, iyilik, adalet, şükür ve hırsa kapılmama gibi temel değerlerin manevi danışmanlık ve rehberlik süreçlerinde nasıl kullanılabileceği incelenmiştir. Makalenin amacı, Mevlânâ’nın öğretilerinin bireylerin psikolojik iyi olma durumlarına olan olumlu terapötik etkilerinin analiz edilmesi ve bu öğretilerin manevi danışmanlık ve rehberlik uygulamalarıyla nasıl ilişkilendirilebileceğinin belirlenmesidir. Çalışmada, nitel araştırma yöntemlerinden içerik analizi tekniği uygulanmıştır. Bu teknik kapsamında, Mesnevi’de yer alan temel öğretiler tematik olarak incelenmiş ve bu temaların manevi danışmanlık ve rehberlik süreçlerinde uygulanma biçimleri araştırılmıştır. Elde edilen bulgular doğrultusunda, Mesnevi’nin manevi danışmanlık ve rehberlik uygulamalarında çok sık kullanılan bibliyoterapi tekniğiyle yapılan çalışmalarda materyal olarak kullanımının, bireylerin yaşam kalitelerini artırma ve duygusal dengelerini iyileştirme potansiyeline sahip olduğu sonucuna ulaşılmıştır. Mevlânâ’nın öğretilerinin modern psikoloji kavramlarıyla ilişkisi incelenmiş ve bireylerin manevi gelişim süreçlerine katkıları psikolojik bir perspektiften değerlendirilmiştir. Bu bağlamda, “sevgi, sabır, şükür” gibi değerlerin, bireylerin ruhsal ve sosyal uyumlarını destekleyen unsurlar olduğu belirtilmiştir. Ayrıca, Mevlânâ’nın “şükür ve adalet” gibi temel değerlerinin bireylerin hem kendilerine hem de çevrelerine yönelik daha pozitif tutumlar geliştirmelerine olanak sağlayabileceği öngörülmüştür. Sonuç olarak, Mesnevi’nin Türk manevi danışmanlık ve rehberlik uygulamalarında etkin biçimde kullanılan bibliyoterapi tekniğinde etkili bir materyal olarak kullanılabileceği vurgulanmıştır. Çalışmada, Mevlânâ’nın öğretilerinin bireylerin manevi ve ruhsal gelişim süreçlerinde önemli bir araç olduğu ve bu öğretiler kapsamında makalede yer verilen temel değerlerin manevi danışmanlık ve rehberlik süreçlerine terapötik entegrasyonunun büyük katkılar sağlayabileceği ifade edilmiştir. Anadolu bilgeliği bağlamında Mevlânâ’nın terapötik değeri yüksek olan bu öğretilerinin, hem bireysel gelişimi destekleyen hem de toplumsal uyumu artıran yönleriyle Türk manevi danışmanlık ve rehberlik uygulamalarında önemli bir terapötik rol oynadığı sonucuna varılmıştır.
Comparative Evaluation of Wear Resistance and Colour Stability of Three Different Oral Mucosal Protectors - An In Vitro Study
Authors: Setvaji Nisshitha Rao , B Nivethigaa , R Navaneethan
Published: December 2024

Background: With increase in demand of patient acceptability and comfort, light cured temporary oral mucosal protectors such as Muco Soft LC (Anabond) and Soft Flow (Dentos) have been recently developed to prevent mucosal injury during orthodontic treatment. This study aimed to evaluate the wear loss due to friction over a period of time and colour stability of three oral mucosal protectors: Muco Soft LC (MS), Soft Flow (SF) and Flowable composite (FC).
Methodology: Three groups having 10 samples each were subjected to a toothbrushing simulator and pre and post weights were measured to evaluate wear. Five samples from each group were immersed in either artificial saliva or mouthwash for 24 hours. Colour change was evaluated using a spectrophotometer.
Results: A significant difference in material loss seen in MS (P = 0.000) and SF (P = 0.005). FC showed the least material loss followed by MS and SF. MS was dislodged from the wire post toothbrushing simulation. The calculated mean colour change values (ΔE) revealed that FC had the least colour change followed by SF and MS.
Conclusion: Least wear loss was observed with flowable composite. Artificial saliva showed greater colour change in Muco Soft LC and flowable composite whereas mouthwash produced a greater colour change in Soft Flow.
PENTINGNYA DIGITAL MARKETING UNTUK GENERASI MUDA DAN PELAKU UMKM
Authors: Mutiara Hapsari Cinthia , Herman Wahyu Dwi Maelana  , Khoiri  Najib  , Prihartanto Eko Wibowo  , Mohammad Sholikin
Published: December 2024

Perubahan  sistem  pemasaran  dari  tradisional  menjadi  digital  marketing  untuk menghadapi era 5.0 memaksakan pihak UMKM untuk melakukan perubahan dalam sistem  pemasaran produknya melalui  media  sosial.  Berdasarkan hal  tersebut  masih banyak pelaku UMKM yang belum memahami digital marketing. Untuk itu, tujuan kegiatan  abdimas ini  memberikan pengetahuan  dan  pelatihan  bagi generasi muda dan  UMKM  tentang digital  marketing  bagi  pemasaran  dengan  memanfaatkan  media  sosial.  Metode kegiatan abdimas yakni ceramah, diskusi dan pelatihan secara langsung kepada pelaku UMKM.  Peserta  abdimas  yakni  para  pelaku  UMKM dan generasi muda  di  Kelurahan  Triwidadi Kapanewon Pajangan kabupaten Bantul  dengan  kriteria  belum  mengetahui  sistem  digital marketing untuk pemasaran. Hasil dari abdimas yakni peserta mendapatkan tambahan ilmu dan  pengetahuan  mengenai digital marketing mulai dari  pengertian, jenis, dan pemanfaatannya bagi pemasaran produk UMKM dan peserta dapat membuat  konten dan  caption  sebagai  pendukung  postingan  gambar/foto/video  produk  dalam yang akan dipasorog di whatshap, tiktok dan   akun Instagram yang memiliki sifat persuasif.
 
Kata-kata kunci: Digital Marketing, Konten, Caption
Diagnóstico de competitividad organizacional en altas cervezas brewing Co
Authors: Perez Chavez Aranzazu , García Macarty Raúl Alejandro , Cabrera Zepeda Gabriela , Romero Montoya Mauricio
Published: December 2024

Esta investigación presentó un diagnóstico de la competitividad organizacional en Altas Cervezas Brewing Co. mediante la aplicación de un cuestionario de 99 preguntas que evaluaron 112 indicadores. Los resultados revelaron fortalezas significativas en la misión, filosofía y valores de la organización, pero también destacaron debilidades en la delegación de responsabilidades y la competitividad. Se propusieron recomendaciones para mejorar la capacitación, la comunicación interna y los procesos operativos para aumentar la eficiencia y la competitividad de la empresa.
Common L-Fuzzy Fixed Point Results for Contractive L-Fuzzy Maps in F-Metric Space
Authors: Abdullahi Muhammad Sirajo , Abubakar Jamilu
Published: December 2024

In this paper, we establish an -fuzzy fixed point theorem for generalized contractive -fuzzy mappings in the context of an -complete -metric space. We also provide consequences and examples to support the main findings.
Evaluation of Heavy Metal Contents as Pollution Biomaskers in Fishes of Wasai Reservoir, Kano State-Nigeria
Authors: Haruna Abubakar , Dabo Nasir Tukur , Maigari Ahmad , Usman Binta Isyaku
Published: December 2024

The study was carried out to assess heavy metal concentrations in water, gills and liver of Tilapia zilli sampled from Wasai Reservoir from January 2019 to June 2020, with the aim of predicting health risk to the consumers. Sampling stations were selected based on variation of human activities around the water body.  Levels of metals were determined using Microwave Plasma Emission Spectroscopy (MP-AES). The results indicated that metal concentrations in water followed the following order: Zinc (2.55 mg/L) > Chromium (0.067 mg/L) > Lead (0.058 mg/L) > Cadmium (0.031 mg/L), with Arsenic undetected. The Bioaccumulation Factor (BAF) showed that heavy metal accumulation in fish tissues was highest for Zn, followed by Pb, Cr, Cu, Cd, and As. Significant differences (P<0.05) were observed in the heavy metal concentrations across sampling stations, months, and seasons, except for Cr and Cd, which did not show significant variations (P>0.05). Fish tissue analysis revealed significant increases (P<0.05) in the gills (Cu > Pb > Zn > Cr > As > Cd) and liver (Cu > Pb > Zn > Cd > Cr > As). Pearson’s correlation coefficient indicated strong positive correlations for Zn, Cr, Cd, and Pb (P<0.01), while negative correlations were observed for Cd and Cu (P<0.01). The study concluded that heavy metal pollution significantly affected fish physiology and water quality in the reservoir, primarily due to anthropogenic activities. It recommends the implementation of proper reservoir management systems to conserve this vital ecosystem and prevent its long-term deterioration.
Catalytic Valorization of Heavy Crude Oil Via Aquathermolysis with Mo2C/S-ZrO2 System
Authors: Galadima Ahmad , Abubakar Mubarak
Published: December 2024

Catalytic aquathermolysis emerges as a new approach to valorize heavy crude oil into lighter compositions with industrial compatibilities. Although several catalytic systems have been tested, certain critical issues remained unresolved. Therefore, the potential of Mo2C/S-ZrO2 as a candidate for upgrading a heavy crude oil with API gravity value of 12.0o was evaluated at the laboratory scale. Successful designed of the Mo2C/S-ZrO2 catalyst was established via FT-IR and XRD studies. Both techniques revealed features that were consistent with disappearance of MoO3 in MoO3/S-ZrO2 precursor and consequent formation of β-type Mo2C. Interestingly, the tetragonal form of ZrO2 was also unaltered by the carburization treatment (i.e. CH4/H2, 750oC, 1.5 h). Additionally, the associated physicochemical properties were strongly responsible for viscosity reduction from 250.25 mPas to 78.30 mPas. Similarly, resins and asphaltenes were successfully ruptured into lighter saturates and aromatics during the process. Thus, the Mo2C/S-ZrO2 system has good potential for this application.
Radiographic Management of Impacted Fracture of the Left Distal Metatarsal Bone in a 7-Month-Old Ram (Case Report)
Authors: Oviawe E. I.
Published: December 2024

Fracture is the act of breaking or dissolution in the continuity of a bone, with or without displacement of bone fragments. A 7-month-old Balami-Ouda cross Ram was presented at the Large Animal Clinic of the Veterinary Teaching Hospital of Usmanu Danfodiyo University Sokoto with a complaint of lameness on the left hind limb which was noticed 3 days prior to presentation. Radiography of the limb, revealed a swollen left metatarsophalangeal joint with an impacted fracture at the distal end of the metatarsus and a valgus deviation of the phalanges. History further disclosed that the ram might be a victim of stampede by some cows in the farm, as it was managed semi-intensively with other animals (8 ewes, 6 rams and 5 cattle). The fracture was managed by closed reduction and external fixation using Plaster of Paris (POP) and a splint to redirect the valgus deviated limb back to its original position. This POP was removed on the 6th week after complete healing was ascertained on a radiograph and complete weight bearing was achieved. The ram was fully discharged at week 7. The fracture healed successfully without any form of complication.
MHD Inclination Effects on Unsteady Basic Gaseous Micro-Flow Past on Sinusoidally Moving Horizontal Plate
Authors: Moyi Aliyu Usman i , Sani Ashafa
Published: December 2024

This study investigates the impact of magnetohydrodynamic (MHD) inclination on unsteady gaseous micro-flow past a sinusoidally moving horizontal plate in the slip flow regime. The exact solution of the momentum equation with the corresponding boundary conditions and the expression for skin friction are obtained and solved analytically. The effects of varying magnetic field inclinations, phase angle, Hartman number, driving force frequency, and Knudsen number have been considered. Numerical and graphical simulations show that MHD inclination significantly influences flow behavior, leading to velocity reductions and fluid friction enhancements. The findings of this research have important implications for designing and optimizing micro-scale devices, such as micro-pumps, micro-heat exchangers, and micro-valves, in engineering applications.