bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of educational activity in a district reference unit: perception of pregnant women
Authors: Macedo Taíssa Holanda Teixeira Chaves de , Costa Arlete Rodrigues Chagas da , Boeckmann Lara Mabelle Milfont , Sousa Ana Ligia da Silva
Published: March 2024

Introduction: Health education during prenatal care is crucial for the knowledge and empowerment of families, but studies show gaps in this service. Courses and groups for pregnant women have been useful in disseminating information about childbirth practices. Objective: To identify the perception of pregnant women about the Pregnancy and Companion Courses offered by Obstetric Nursing residents in a District Reference Unit (URD) ​​in the Federal District. Methodology: Exploratory descriptive study with a qualitative approach. Results: Of the eleven interviewees, the majority are between 30 and 40 years old and married. Most of them are not linked to the study's URD and receive assistance from private health services. They are all first-time mothers and this is the first Pregnancy Course they have attended. The most highlighted information in the course were the phases of labor and the changes in the parturient woman's body during this process. Final considerations: Obstetric Nursing residents train pregnant women and companions, promoting the humanization of childbirth and transforming the families' experience. This helps to demystify outdated beliefs and prepare them for eventualities.
The tale and the enchantment: approach to the popular tale in the textbook from the perspective of BNCC and Literary Literacy
Authors: Conceição Elaine Priscila de Araújo Souza da , Silva Josivaldo Custódio da , Barbosa Maria do Rosário da Silva Albuquerque
Published: March 2024

This article aims to present the traditional oral folktale and how this literary genre is approached in textbooks. It is the result of a research of a basic nature that aims to explain in a quantitative and qualitative way the approach to the folktale in these manuals. The research was carried out through a bibliographic survey on popular tale, such as studies by Propp (2010), Jolles (1976), Dundes (1996), Cascudo (2004), Romero (2008), Lima (2005) among others. The teaching of literature was also discussed from the perspective of how the BNCC (BRASIL, 2018) addresses the importance of the folktale in the classroom, specific guidelines for this modality of Popular Literature are presented, since the oral story enriches the our cultural identity. As a theoretical framework, we used studies by Cosson (2021) and Coenga (2010) on literary literacy to analyze the sampling of selected textbooks. The analysis of 51 manuals showed that the approach to folk tales in these books does not satisfactorily promote literary literacy, therefore, it is necessary for this genre to be approached in a more efficient way, considering the aesthetic aspects of folk tales.
Comparative study of dog blood counts in semi-automated systems and manual at the Veterinary Clinical Laboratory of the UEMASUL
Authors: Amaral Luisa Domingues do , Rodrigues Juliane Milhomem , Sousa Helena Maria Vieira , Camelo Lívia Pereira Ramos , Correia Luis Eduardo Cruz do Santos , Gomes Cláudio Luís Nina , Fonseca Luciano Santos da
Published: March 2024

The hemogram is a fundamental complementary exam in veterinarian medicine field that assess the health of the animals. The Blood count provides crucial information about the cellular elements in the blood, being essential for detecting and monitoring several clinical conditions in animals. The main purpose was to compare the results achieved in the hematological variables of erythrocytes, hematocrit, MCV, total leukocytes and platelets in hemograms of dogs obtained using the methods semi-automated and manual. The result exhibit that, based on a set of 10 samples, there were no significant differences between the methods. However, when all 24 samples were analyzed, significant differences in total erythrocyte and leukocyte levels were observed between the two methods.
PANORAMA DA INFECÇÃO HIV/AIDS NA PARAÍBA (2011 – 2021): UM ESTUDO EPIDEMIOLÓGICO
Authors: Sena Moraes de Souza Isaias , Barbosa Benjamim de Lima Thiago , Pasquini Bezerra José Victor , Câmara Torquato Silvana , Santiago Loureiro Hilce , Adelino Silva José Eduardo , Diniz Barbosa Arthur Hennys , Brito Dias Jhonatta Alexandre
Published: March 2024

O Vírus da Imunodeficiência Humana (HIV) caracterizado pelo seu considerável tropismo por linfócitos CD4+, e capacidade de gerar significativa imunodepressão a longo prazo. A sua transmissão se dá por meio do contato com fluidos biológicos contaminados, a exemplo do sêmen, secreção vaginal, sangue, leite materno, células infectadas, bem como pela via transplacentária. Este estudo buscou avaliar o perfil epidemiológico da infecção HIV/AIDS. Trata-se de uma pesquisa descritiva, quanti-qualitativa de natureza básica e retrospectiva de dados coletados pelo Sistema Nacional de Agravos de Notificação, sobre os casos de HIV/AIDS entre os anos de 2011 a 2021, na Paraíba, Brasil. Identificou-se um total de 5687 casos, havendo predomínio entre indivíduos do sexo masculino (70%), pessoas pardas (52%), pacientes heterossexuais (32%) e pacientes com idade de 20-34 anos (41%). A Região Nordeste do país apresentou uma média de 16,1 casos da infecção a cada 100 mil habitantes, por ano; e o estado da Paraíba apresentou um índice inferior à média nordestina, com 12,9 casos por ano a cada 100 mil habitantes. O município de João Pessoa, concentrou o maior número de casos na Paraíba (3.263).
The Relationship between Personality Traits and Anxiety with the Mediating Role of Desire for Fame among TikTokers
Authors: Alisha Kanwal  , Ms Habiba Tariq  , Dr. Um e lela  , Maryam Saeed
Published: March 2024

The main aim of this study was to explore the relationship between personality traits (extraversion, agreeableness, conscientiousness, emotional stability, and openness to experiences) and anxiety with the mediating role of desire for fame among TikTokers. For this purpose, cross-sectional research was conducted on the sample of 205 male and female young adults using purposive sampling technique. Ten Item Personality Inventory, Hamilton Anxiety Measure scale, and Desire for Fame scale were used to measure the variables. Results showed a significant positive association between Extraversion and Desire for fame, while a non-significant relationship with anxiety. It showed a significant positive relationship between Agreeableness, anxiety and desire for fame. Conscientiousness shows a significantly positive relationship with anxiety and desire for fame. Emotional stability is significantly positively related to anxiety and desire for fame. Openness shows a significantly positive correlation with anxiety and desire for fame. Furthermore, a significant positive correlation exists between anxiety and desire fame. The t-test results showed that there will be a gender difference in extraversion trait, agreeableness trait and openness to experience trait. There is no statistically significant difference in terms of area (urban and rural). Individuals with age range 18-21 reported higher anxiety as compared to the 22-24 and 25-28 age ranges. Desire for fame appeared to fully mediate the path between personality traits and anxiety. These findings fill the research gap and have practical implications in the area of psychological health concerns and social media use.
PRODUCTION AND CHARACTERIZATION OF HYDROTHERMALLY PROCESSRD SOLID BIOENERGY FROM AN INVASIVE SPECIES
Authors: Islam Md. Azharul , Jerin Ishrat , Islam Md. Atikul , Das Partho Protim , Liu Zhongchuang , Hameed B.H.
Published: March 2024

Invasive alien species (IAS) are one of the most serious environmental concerns for native biodiversity, as they can alter how the ecosystem functions through species homogenization. Invasive species can affect human health, disrupt ecosystem process, economic damage to agriculture. The conversion of invasive species through hydrothermal carbonization process can reduce the negative impact of invasive species. The objective of this study was to produce and characterize hydrochar as solid bio-energy derived from the invasive species Sphagneticola trilobata (ISST), an invasive plant species, specifically through hydrothermal carbonization. This technology can convert invasive species into biofuel by reducing their negative impact on the environment. The effect of different factors, namely temperature and reaction time towards the hydrochar yield (%) was optimized by central composite design (CCD) using statistical response surface methodology (RSM). Here the optimized conditions for hydrochar production have been identified. The optimized temperature was 180.31 °C and the time was 2.23 hours. The best yield of the hydrochar was 51.54%. To verify the hydrochar as an energy material, the physicochemical, structural and morphological properties were found using SEM, FTIR, TGA, elemental and proximate analysis. The calorific value of hydrochar increased from the calorific value of 13.41 MJ/Kg of Sphagneticola trilobata biomass to 17.03 MJ/Kg. The amounts of sulfur (S) and ash reduced dramatically. Moreover, a greater carbon content was present in the green biomass than oxygen content. Consequently, it is an advantageous technology for improving the characteristics of biomass of invasive species to hydrochar as fuel for energy generation.
TAXONOMIC RECORD OF JUMPING SPIDERS GENUS BIANOR (PECKHAM & PECKHAM, 1885) FROM COASTAL BANGLADESH (ARANEAE: PELLENINAE: SALTICIDAE)
Authors: Biswas Vivekanand
Published: March 2024

Three species of jumping spider’s genus Bianor (Peckham & Peckham, 1885) of the family Salticidae are recorded first time in Bangladesh. These are Bianor hotingchiehi Schenkel 1963, B. narmadaensis (Tikader 1975) and B. pashanensis (Tikader 1975). Comprehensive descriptions of the species, along with their respective generic diagnoses and distribution, are presented herein.
BIOCHAR AS A POTENTIAL SOIL CONDITIONER IN SALINE PRONE COASTAL AREA OF BANGLADESH
Authors: Khatun Monowara , Hossain Mahmood , Joardar Jagadish Chandra
Published: March 2024

In the coastal areas of Bangladesh, salinity restricts normal crop production and increases with the desiccation of the soil. Recently, biochar has received great attention as a soil amendment to mitigate the detrimental effects of salinity stress. In this respect, a field experiment was conducted to examine the effects of biochars on soil properties and growth of okra (Abelmoschus esculentus L.) and to identify a suitable biochar amendment for salt-affected soils in coastal areas of Bangladesh. The experiment was conducted in a randomized complete block design (RCBD) with five replications. Three types of biochar (rice straw biochar, sawdust biochar and water hyacinth biochar) were applied @ 10 t ha-1 in a silt loam soil along with the control. Results showed that biochar application to the soil enhanced plant height, leaf number, leaf area, shoot fresh weight, shoot dry weight and yield of okra as well as improving the soil quality e.g. field capacity (FC), CEC, OC, total N, available P, S, K, and Ca. The application of water hyacinth biochar improved almost all of the growth and yield attributes of okra along with most of the soil properties than that of others. The results suggest that water hyacinth biochar might be recommended as a suitable soil amendment for better crop growth and soil quality. Moreover, water hyacinth biochar had significantly (P<0.001) higher surface area (205.40 m2g-1); consequently, higher capacity in salt and water adsorption which might prevent soil desiccation. Side by side, it significantly (P<0.001) increased the soil Ca content which might replace Na+ in the root rhizosphere minimizing the Na+ uptake by plants. Taken together, water hyacinth biochar could also be the best choice of organic amendments to reduce the suppressing effect of salinity stress in coastal areas of Bangladesh.
EVALUATION OF DIFFERENT STOCKING DENSITY OF SMALL INDIGENOUS FISH PABDA WITH CARP POLYCULTURE SYSTEM
Authors: Sarker Md. Shah Alam , Shaikh Md. Alfaz Uddin , Salam Md. Abdus , Islam Md. Monirul
Published: March 2024

An experiment on the polyculture of carps with high valued small indigenous fish species (SIS) Pabda (Ompok pabda) was carried out for 152 days to evaluate the production performances of carp and pabda in some on-farm pond conditions in three Upazila of Jhenaidah district. Three stocking densities of Pabda were T1500, T2600, and T3-700 fish per decimal where released, carp density was the same among the treatments at 246 nos/33 decimal. Fish was fed with commercial (sprectahexa, mega) pelleted feed at the same rate at the different stages of Pabda (0.66-50 gm BW @ 20%-4% twice a day respectively). The weight gain of Pabda was 40.965 ± 0.04, 35.17± 0.11 and 30.99 ± 1.17 g in T1, T2, and T3 treatments, respectively. The production levels showed significant difference (P<0.05) among the treatments. The SGR (%) of Pabda was 2.76 ± 0.0006, 2.66 ± 0.002 and 2.58 ± 0.024 in T1, T2, and T3, respectively that showed a significant difference (P<0.05) among the treatments. The weight gain of carp was 1177.24 ± 30.87, 1150± 0.001, 1154.85 ± 3.43 in T1, T2, and T3, respectively, which was also significantly different (P<0.05) when ANOVA was performed. The water quality parameters like transparency and dissolved oxygen in the treatments showed significant differences (P<0.05) except temperature, pH, and ammonia nitrogen. The results of the present study demonstrated that the fishes showed better growth, survival, and production in the low stocking density of Pabda in T1 treatment.
IN VITRO ANTIBACTERIAL ACTIVITY OF ETHANOLIC EXTRACT OF DRUMSTICK (Moringa olifera) LEAF AGAINST SHRIMP PATHOGENIC BACTERIA VIBRIO PARAHAEMOLYTICUS
Authors: Jannat Nimatul , Sultana Shamima
Published: March 2024

Aim of the present study was to evaluate the antibacterial effect of ethanolic extract of Moringa olifera leaf against shrimp pathogenic bacteria Vibrio parahaemolyticus. The bacteria were cultured on TCBS agar media and enumerated. The ethanolic M. olifera leaf extract (1 mg/mL) was prepared and its antibacterial activity at different dose (400 µL, 300 µL and 200 µL) was evaluated against V. parahaemolyticus by using disk-diffusion method. The bacteria load of 1.75×104 CFU/mL, 1.63×104 CFU/mL and 1.54×104 CFU/mL was employed for each concentration. It was observed that 400 µL of ethanolic extract of M. olifera showed the highest inhibition zones (11.97 mm, 13 mm and 15.13 mm) but not equal to the inhibition zones (17.23 mm, 18.20 mm and 19.70 mm) by standard antibiotic (oxytetracycline). The present study revealed that ethanolic extract of moringa leaf (1mg/ml) had significant positive effect (P value = 0.003) on different V. parahaemolyticus load  at 5% level of significance though effect of different doses with same concentration (1mg/ml) had not significantly differ from each other. Therefore, the ethanolic extract of M. olifera might be used as alternative way to prevent diseases which are caused by V. parahaemolyticus.
Biological New Targets Prediction & ADME Pharmacokinetics Profiling of Newly Synthesized E / Z Isomers of Methyl 2-phenyl-2-(2-phenylhydrazono) Acetate Derivatives
Authors:   Dow College of Biotechnology, Department of Bioinformatics, Dow University of Health Sciences, Karachi, Pakistan  &  Khazar University, Baku, Azerbaijan, Yousuf Maria , M. Maharramov Abel ,   Department of Medicinal Chemistry Baku State University, Nasimi, Azerbaijan, G. Shikhaliyev Namiq ,   Department of Medicinal Chemistry Baku State University, Nasimi, Azerbaijan, A. Babazade Aliyar ,   Department of Medicinal Chemistry Baku State University, Nasimi, Azerbaijan, T. Atakishiyeva Gulnar ,   Department of Medicinal Chemistry Baku State University, Nasimi, Azerbaijan, R. Zeynalli Nezrin ,   Department of Medicinal Chemistry Baku State University, Nasimi, Azerbaijan, V. Babayeva Gulnara ,   Department of Medicinal Chemistry Baku State University, Nasimi, Azerbaijan；Department of  Chemistry, Azerbaijan State Pedagogical University, Nasimi, Azerbaijan, Khan Israr ,   Department of Public Health,, Health Services Academy, Islamabad, Pakistan
Published: March 2024

Objective: In order to predict the pharmacokinetic properties, and new potential biological targets, biological targets prediction, and absorption, distribution, metabolism and excretion (ADME) profiling of newly synthesized Entgegen / Zusammen (E / Z isomers) of Methyl 2-phenyl-2-(2-phenylhydrazono) acetate derivatives were carried out. Methods: The prediction of new biological targets, pharmacokinetic properties, membrane permeability, and bioavailability radar properties were carried out by using Swiss Targets Prediction and Swiss ADME tools, respectively. Results: All the eight screened compounds possessed excellent drug-likeness criteria and passed successfully from Pan-assay interference compounds filter. Additionally, all screened compounds fell within the acceptable range in the bioavailability radar, showing excellent descriptors with a slight exceeding of insaturation properties. Compounds displayed elevated permeability across the Blood Brain Barrier, while compounds exhibited highest Human Intestinal Absorption according to the Egan Egg model. Moreover, the screened compounds also exhibited good pharmacokinetic properties. All the compounds exhibited activity against various enzymes, such as lyase, kinase, protease, and Family AG protein-coupled receptor. Conclusion: This conducted study smartly reveals that in-silico based studies were considered to provide robustness towards a rational drug design and development approach; therefore, in this way, it helps for further investigation of drug design and drug discovery steps.
Coronavirus Disease of 2019 (COVID-19) and Household Food Security in High-Density Residential Areas of Lusaka: Experiences From Ng’ombe Settlement
Authors:   The University of Zambia, Michelo Lizzy , Nyanga Progress H ,   The University of Zambia, Banda Alick ,   The University of Zambia
Published: March 2024

Comparable to the rest of the world, African countries are orbiting from the health, economic and social effects of COVID-19. The continent’s administrations responded to COVID-19 guidelines by imposing restrictions to limit the spread of the virus. COVID-19 and measures responses to the pandemic undermine food production, processing and marketing but the most concerning experiences are on the demand-side, economic and physical access to food. Food and Agriculture Organization’s ( FAO) ‘four pillars’ availability, accessibility, stability and utilization provide a complete framework for analysing food security. However, the paper was looking at how people in high density residential areas are experiencing food security during COVID-19 period. The main aim was to assess the experiences of residents of high density urban residential areas of Lusaka in terms of household food security before and during COVID-19 pandemic era. The study used the embedded research design. Structured interviews were used to collect data from the respondents using questionnaires administered on a sample of 235 Ng’ombe residents. Key informants were selected purposively from Ng’ombe urban health Centre, Ng’ombe Catholic church, Food and Agriculture Organization (FAO), Ministry of Agriculture and World Food Programme (WFP) officials. Data was collected using semi-structured interviews with a tool called interview guide. The data was analyzed using descriptive statistic, paired t-test and chi-square using R statistical computing software and excel. The results were presented using tables, pie charts and graphs. The study revealed that Ng’ombe residents had a devastating experience during the COVID 19 era among which include reduction in income, hunger, job losses, skipped or reduced meal sizes and compromised diet. Also pinpointing areas for governments and other actors to intervene in the food system to protect the food security of households left vulnerable by COVID-19 for example empowering the affected households with money for businesses and jobs creation. Keywords: COVID-19, Food security, High density areas, dietary diversity
Fusarium Wilt Disease of Eggplant: Farmers’ Socio-Demographic Characteristics, Farming History, Awareness and Perception in Major Eggplant Growing Areas of Ghana
Authors:   CSIR-PGRRI, Ghana, Owusu Edmund , Kwoseh Charles ,   CSIR-PGRRI, Ghana, Osekre Enoch ,   CSIR-PGRRI, Ghana, Duku Emmanuel ,   CSIR-PGRRI, Ghana, Adongo Barnabas ,   CSIR-PGRRI, Ghana, Gyasi Eric ,   CSIR-PGRRI, Ghana
Published: March 2024

Fusarium wilt disease cause losses to eggplants in many parts of Ghana. However, information about farmers’ appreciation and management of the disease is limited. In this study, farmers’ socio-demographic characteristics, farming history, awareness and perception of Fusarium Wilt disease of eggplants in some major eggplant growing areas in the Ashanti, Eastern and Volta Regions of Ghana were determined. Purposive sampling method was used to select major eggplant producing communities and snowball technique was employed to identify eggplant farmers. A structured questionnaire aided with pictures of Fusarium infected eggplant was used to inquire for information from750 farmers in the three regions; 250 from each region and 50 from each of the 5 communities selected in each region. The farmers on the three regions had similar socio-demographic characters and knowledge of Fusarium wilt disease of eggplants. Farmers were mostly within the age group of 30 year to 50 years and 63% of them had formal education. Land preparation was mainly manual, except for some part of the Volta region that used tractors. Mixed cropping with other vegetables and crop rotation with cereals was most practiced. Farmer selected seeds were the major planting materials. Wilt symptoms was a common observation of farmers in all the regions. However, majority were oblivious of the cause and source of the disease and therefore were unable to apply appropriate management methods. Farmers could not estimate losses caused by Fusarium wilt disease and therefore were not keen on management methods.
Magnetic rotor breakage study in permanent magnet synchronous motor at COMSOL multiphysics and fault detection using machine learning
Authors: Benkaihoul Said , Mazouz Lakhdar , Naas Toufik Tayeb , Yıldırım Özüpak , Regaz Amar
Published: March 2024

Electric vehicles are one of the most important means in the industrial sector due to their frequent use and depend primarily on electric motors. Electric motors of all types, synchronous and asynchronous, face many faults in the rotor and stator, affecting the performance's reliability. Researchers are seeking to find ways that enable us to detect and diagnose faults in electric motors based on smart and fast methods. Early detection of problems in electric motors is vital, especially in areas such as electric vehicles. This study focuses on magnetic rotor breakage (MRB) in permanent magnet synchronous motors (PMSM). We use a simulation tool such as COMSOL Multiphysics as a simulation tool. This platform is a widely used software for modeling and analyzing complex electromagnetic systems. The study also addresses fault detection using machine learning. This involves using data analysis and pattern recognition techniques to distinguish between normal and defective states of the motor. This is an important step to improve the reliability of motors and identify potential failures in advance. Five different machine learning algorithms such as Extreme Gradient Boosting (XGBoost), AdaBoost, Gradient Boosting (GB), Naive Bayes (NB), and Random Forest (RF) are used in the study. Data from four different cases obtained from the PMSM design were used to train and test the machine-learning models. The results obtained show how accurate the proposed models are in diagnosing PMSM problems, especially MRB.
Research on the Digital Transformation of Guochao Brand Image Driven by Visual Communication Design
Authors: Zeng Tingjun
Published: March 2024

With the development of digital technology, the digital transformation of Guochao brand image has become an inevitable trend. Visual communication design plays a key role in this. This study takes the "Longmen" brand packaging design as an example to explore the digital transformation of national fashion brands driven by visual communication design. The article analyzes the background of digital transformation and defines the concept of visual communication. At the same time, discussions were held on the digital transformation of Guochao brand image and application strategies were proposed. Through an in-depth study of the historical and cultural connotations of the "Longmen" brand, it provides theoretical and practical guidance for the digital transformation of national fashion brands, while providing reference and inspiration for visual communication design and brand management research.
Research on the Value of Sustainable Fashion to the Status Quo of Clothing Brands
Authors: Xie Yinyue
Published: March 2024

With the progress of society and the development of national economy, people gradually realize the importance of sustainable development, and also make this concept gradually penetrate into various industries. Based on this, the clothing industry has gradually set off the wave of sustainable fashion, which has a good guiding role for optimizing the construction of China's clothing brand and expanding the market share. This paper mainly analyzes the current situation of Chinese clothing brands and the value of sustainable fashion.
A Technical Study on Snowboard Suits Equipped with Intelligent Airbag Buffering Devices
Authors: Liu Qian
Published: March 2024

The giant success of the Beijing Winter Olympics 2022 has ignited a wave of interest in ice and snow sports. The rise of skiing has brought a great opportunity for the development of Chinese sports apparel. However, skiing, as a sport with high professional barriers and significant risks, has also exposed many potential drawback issues. This paper focuses on the technical research of intelligent airbag buffering snowboard suits, elaborating on the integration of inflatable airbags with ski suits and the intelligent fall detection system. It provides a new direction and solution for the current design challenges faced by snowboard suits.
Optimizing the Sales Law and Replenishment Decision Analysis of Fresh Supermarket Products
Authors: Wang Xinchong , Wang Xinxiang
Published: March 2024

In the field of fresh food supermarkets, due to the relatively limited shelf-life of vegetable products, their quality will gradually deteriorate with the sales time. Therefore, supermarkets need to perform daily rationing replenishment operations based on the historical sales data and demand of the products. This paper is based on the collected product information of vegetable categories, detailed vegetable sales flow data, wholesale prices of vegetable products, and recent vegetable product wastage rates. Data analysis and visualization techniques are used to analyze the distribution pattern of vegetable sales in each category and single product. Next, a functional relationship between total sales volume and cost-plus pricing of vegetable categories was constructed. Regression forecasts were used to simulate the future wholesale prices of vegetable categories.
Construction of a Climate Early Warning System: Predicting Future Temperatures and Climate Security Using BiLSTM
Authors: Yang Jie , Li Zijun
Published: March 2024

In light of the worsening global climate, providing predictive models for surface temperature and energy consumption is crucial for formulating effective climate action strategies. Initially, a Bi-directional Long Short-Term Memory (BiLSTM) network model is established to predict the maximum surface temperatures over the next century, with the Seasonal AutoRegressive Integrated Moving Average (SARIMA) model serving as a benchmark. To assess the risk levels of climate security, the k-means clustering algorithm is utilized to classify the growth rates of carbon dioxide emissions, enabling the construction of a three-tier climate security early warning index. Subsequently, a hybrid classification model based on Support Vector Machine (SVM) and Random Forest (RF) takes the energy consumption growth rates as inputs and the warning indices as outputs to construct a climate security early warning system. The BiLSTM model is employed to predict the energy consumption growth rates for the upcoming decade, and these rates are input into the SVM-RF model to forecast future warning levels. The study demonstrates that the model can effectively predict the maximum surface temperatures and provide a three-tier safety warning system for future climate risk management. The intent of this research is to offer a novel tool for global climate prevention and to deliver practical application value to policymakers in finance, energy, and environmental sectors.
Nutrient Composition and Sensory Properties of African Yambean (Sphenostylis stenocarpa) and Malted Red Rice (Oryza glabberima) Yoghurt Analogue
Authors:   Department of Food Science and Technology, Rivers State University, Nkpolu-Oroworukwo, P.M.B 5080, Port Harcourt, Rivers State., Barber Lucretia I. , Okoronkwo Blessing C. ,   Department of Food Science and Technology, Rivers State University, Nkpolu-Oroworukwo, P.M.B 5080, Port Harcourt, Rivers State., Obinna-Echem Patience C. ,   Department of Food Science and Technology, Rivers State University, Nkpolu-Oroworukwo, P.M.B 5080, Port Harcourt, Rivers State., Okoronkwo Kennedy A. ,   Department of Food Science and Technology, University of Agriculture and Environmental Sciences, Umuagwo, Imo State, Nigeria.
Published: March 2024

This paper evaluated the nutrient and sensory properties of blends of African yambean (Sphenostylis stenocarpa) and malted red rice (Oryza glaberrima) yoghurt analogue. The proximate analysis of the yoghurt shows that the moisture and protein content was significantly (P<0.05) higher than the values obtained for the control. There was no significant difference (p>0.05) observed in the ash contents of both samples. The yoghurt recorded mean scores that were significantly different (P<0.05) in all tested attributes with the control. The mean scores for the sensory attributes of the AYB and malted red rice yoghurt were 8.1± 0.71, 7.9±0.4, 8.7±0.11, 7.50±0.63 and 8.08±0.69 for colour, aroma, taste, mouthfeel, sourness and overall acceptability while the control scored 9.0 in all attributes. Notwithstanding, the sensory overall acceptability of the African yambean/malted red rice yoghurt analogue was liked by the panelists. The African yambean/malted red rice yoghurt is therefore recommended for the development of a novel non-dairy probiotic yoghurt analogue.
Design of Inventory Information Systems at CV Company. Web-Based Berjaya Jaya Abadi
Authors: Samsudin  , Bisri Cholil
Published: March 2024

This research focuses on the design and implementation of a web-based inventory management system for CV. Berjaya Jaya Abadi company. Inventory management plays a crucial role in the efficient operation of businesses, particularly in ensuring optimal stock levels, minimizing costs, and improving overall productivity. The proposed system aims to streamline inventory-related processes by providing real-time access to inventory data, facilitating inventory tracking, and automating inventory management tasks. Utilizing web-based technology offers the advantage of accessibility from anywhere with an internet connection, allowing employees to manage inventory remotely and enhancing collaboration among team members. The system will include features such as inventory tracking, stock level monitoring, order management, and reporting functionalities to provide comprehensive support for inventory management tasks. By implementing this web-based inventory system, CV. Berjaya Jaya Abadi can expect improved efficiency, accuracy, and visibility in their inventory management processes, ultimately leading to better decision-making and business performance.
Fusion of Topic Modeling and RoBERTa for Detecting Signs of Depression from Social Media
Authors:   CMR University (CMRU), Bangalore, India, Madhu Madhu ,   CMR University (CMRU), Bangalore, India, Kumar S. Saravana
Published: March 2024

Depression, or Major Depressive Disorder, is a serious and common medical condition that affects people worldwide. It negatively affects the person's feelings, thoughts, and actions. Depression causes a loss of interest in activities he enjoyed in the past. It can lead to physical and emotional problems that hamper the daily activities at work and home. In recent years, much research has been done to identify Depression through various modalities of image, speech, and text through artificial intelligence. Social media is an important medium where many discussions and mentions happen about Depression. The current study proposes a novel approach to understand how the depressed and non-depressed communicate differently with the help of Topic Modeling with latent-Dirichlet allocation (LDA) and also detect depression with the help of Robustly Optimized BERT Pretraining Approach (RoBERTa). The current study achieved an accuracy of 66.4% for the depression detection model, which outperformed the previous approaches with similar methodology. The current study is helpful for self-diagnosis of signs of Depression at very early stages.
Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration
Authors:   Universidad Regional Autónoma de Los Andes, Babahoyo, Ecuador., Ignacio Ignacio ,   Universidad Regional Autónoma de Los Andes, Babahoyo, Ecuador.,   Universidad Estatal de Milagro, UNEMI. Km. 1½ vía Milagro - km.26, Milagro, Ecuador,   Tashkent State University of Economics, Uzbekistan, Castro Danna Villacres , Toledo Angelica Neira , Muyassarzoda Fayzieva
Published: March 2024

The surge of Venezuelan migration has left indelible marks on various regions, notably within Babahoyo Canton, presenting both challenges and opportunities for local communities. This study delves into the socio-economic impacts of Venezuelan migration on Babahoyo throughout 2023, employing a sophisticated blend of compensatory fuzzy logic and information fusion techniques. These methodologies offer a nuanced exploration of the migration's effects, capturing the complex interplay between local perceptions, labor market fluctuations, and broader economic dynamics. The findings underscore the critical need for comprehensive integration strategies that not only facilitate the socio-cultural adaptation of migrants but also leverage local public policies to mitigate adverse impacts while maximizing potential benefits. Ultimately, this research aims to illuminate pathways for informed decision-making and policy development, ensuring that responses to Venezuelan migration in Babahoyo are both effective and empathetic, thus fostering a more integrated and resilient community.
On the use of PID control to improve the stability of the quad-rotor UAV
Authors: Qi Ziren
Published: March 2024

The recent development of drones has aroused great concern at home and abroad. For civil industry and agricultural plant protection industry, it can provide safer and more stable flight and improve production efficiency. For the exploration industry, the application of UAV (Unmanned Aerial Vehicle) will reduce unnecessary casualties. In places where damage is serious, UAV will bring accurate on-site information and data more quickly. It can make drones to replace people in high-risk operations, scientific and technological agricultural development and survey more stable and safe; For the military industry, it can be applied to different combat environments to increase its stability. In recent years, although UAV combat and reconnaissance are not the mainstream combat methods, UAV has become or an indispensable part. Improving the stability of UAV will also increase the military combat capability, so UAV has good development prospects and economic benefits. Nowadays, PID (Proportion Integration Differentiation) control plays an indispensable role in quad-rotor UAV. How to use different types of PID control combined with existing intelligent technology to improve the stability of quad-rotor UAV is a hot issue in recent years. This paper summarizes the previous research results in this field, briefly describes the motion mechanism of four-rotor UAV, wind disturbance resistance mechanism, the action principle and contract between traditional PID control and fuzzy PID control, as well as the effect of intelligent algorithm on PID control addition, and puts forward suggestions for PID control algorithm of the future UAV.
HiFormer: Hierarchical transformer for grounded situation recognition
Authors: Pan Yulin
Published: March 2024

The prevalence of monitoring video is critical to public safety, but existing Object Detection and Action Recognition models are overwhelmed by camera operators, unable to identify relevant events. In light of this, Grounding Situation Recognition (GSR) provides a practical solution to recognize the events in a surveillance video. That is, GSR can identify the noun entities (e.g., humans) and their actions (e.g., driving), and provide grounding frames for involved entities. Compared with Action Recognition and Object Detection, GSR is more in line with human cognitive habits, better allowing law enforcement agencies to understand the predictions. However, the crucial issue with most existing frameworks is the neglect of verb ambiguity, that is, superficially similar verbs but have distinct meanings (e.g. buying v.s. giving). Many existing works propose a two-stage model, which first blindly predicts the verb, and then uses this verb information to predict semantic roles. These frameworks ignore the importance of noun information during verb prediction, making them susceptible to misidentifications. To address this problem and better discern between ambiguous verbs, we propose HiFormer, a novel hierarchical transformer framework with direct and comprehensive consideration of similar verbs for each image, to more accurately identify the salient verb, semantic roles, and the grounding frames. Compared with the state-of-the-art models in Grounded Situation Recognition (SituFormer and CoFormer), HiFormer shows an advantage of over 35% and 20% on the Top-1 and Top-5 verb accuracy respectively, as well as 13% on the Top-1 Noun accuracy.
The application of artificial intelligence technology in games
Authors: Li Xiang , Xiao Chenxuan
Published: March 2024

The production of games requires many factors and a lot of human labor, and still the emergence of artificial intelligence has changed this, the efficiency and precision of artificial intelligence makes it gradually more used in the field of games. This paper mainly discusses the application of AI in the field of games from four aspects: the intelligence of AI for opponents, helping to develop game strategies, the story and plot of the game and game generation. Artificial intelligence can be used to simulate opponents with intelligent behavior in games. This can add to the challenge and realism of the game. It can also be used to develop game strategies and optimize how tasks are completed. Artificial intelligence helps in promoting the story and plot of the game. Finally, AI can be used to generate game content and plot. Also, this paper gives an outlook on the hot spots and development prospects of this research topic.
An overview study of bank customer classification
Authors: Shao Qianying
Published: March 2024

Under the trend of combining the banking industry with the Internet, bank customer classification based on data analysis is important for enterprises to conduct accurate marketing and thus increase revenue. Based on the current situation, this overview study takes banking customer classification as the theme, examining the relevant research in this field between 2013 and 2023. The characteristics of customer classification in this industry, the focuses of existing research, and the future direction of attention are summarized. Due to the large volume and relative multidimensionality of customer data involved in the banking industry, most of the classification models are built on the basis of the standard model, which is improved to make the operation more efficient and accelerate the speed of convergence. On this basis, this paper proposes that bank customer classification should be improved in the algorithmic model while pay more attention to its operating effect based on real-world scenarios. Meanwhile, feature engineering, which plays an important role in data mining, is attracting attention, and more research may be carried out in this direction in the future. In addition, the research on customer segmentation dynamics is important but seldom addressed, which is an area for deeper cultivation.
Cryptocurrency price prediction based on Xgboost, LightGBM and BNN
Authors: Sun Guoxuan
Published: March 2024

The valuation and prediction of cryptocurrency prices have become increasingly important in the financial market. Therefore, this study aims to focus on the selection and evaluation of machine learning models for cryptocurrency valuation. Thus, two types of machine learning models, gradient boosting trees (Xgboost and LightGBM) and neural networks, are compared to determine their effectiveness in generating features for cryptocurrency valuation. Additionally, correlation tests are conducted to identify the most suitable input variables for the models. The results demonstrate that the generated features have a significant impact on the accuracy of machine learning predictions for cryptocurrency prices. It highlights the potential of machine learning models in accurately predicting and evaluating the value of cryptocurrencies. Overall, the findings of this study contribute to the understanding of the role of machine learning in cryptocurrency valuation and provide valuable insights for investors and researchers. By leveraging machine learning techniques, investors can make informed decisions and develop effective investment strategies in the cryptocurrency market. This study contributes to cryptocurrency valuation research. Leveraging machine learning enables informed decisions and effective investment strategies. Furthermore, the findings inform the development of advanced machine learning models and algorithms for cryptocurrency valuation.
One-pot Synthesis of Graphene Oxide-MnO2-Polyaniline Nanocomposites and Their Photothermal Properties
Authors: Çıplak Zafer , Soysal Furkan
Published: March 2024

Graphene oxide-MnO2-Polyaniline ternary nanocomposites were synthesized by a facile one-pot approach and characterized with UV-Visible spectroscopy, XRD and SEM. Photothermal properties of the nanocomposite dispersions were tested with an 808 nm wavelength near-infrared laser. Efficiency of the nanocomposites were calculated with time constant method and maximum efficiency was found to be 73.9 %. Additionally, cyclic heating cooling experiments proved the superb dispersion stability and photothermal performance of the nanocomposite.
Perspectives du programme de formation du BIT "Formalisez Votre Entreprise" (FVE) en Côte d'Ivoire, en Gambie et au Sénégal
Authors:   International Labour Organization,
Published: March 2024

Formalisez Votre Entreprise (FVE) du BIT est un programme de formation qui vise à promouvoir la formalisation des petites entreprises et des travailleurs et travailleuses qu'elles emploient. Il a été mis en œuvre pour la première fois en 2021 en Côte d'Ivoire, en Gambie et au Sénégal, en collaboration avec les parties prenantes nationales clés, et a été développé plus récemment dans d'autres pays.Pour décrire la manière dont la formation FVE a été mise en œuvre jusqu'à présent, le BIT a mené un processus de collecte de données dans les trois pays pilotes. Cette publication reprend les résultats de cet exercice et résume les réactions des formateurs qui ont participé à la formation des formateurs ainsi que des entrepreneurs qui ont suivi la formation FVE.
Adjunctive Naturopathic Medicine in the Management of Depression and Anxiety Symptoms: A Retrospective Chart Review
Authors: Dertinger Joy , Aucoin Monique
Published: March 2024

Background: Naturopathic medicine uses natural and evidence-based treatments to promote health. The objective of this study was to characterize and evaluate the effectiveness of naturopathic medicine in reducing symptoms of anxiety and depression in patients seeking care from the Mental Health Shift at a Canadian naturopathic teaching clinic.
Methods: Charts of 192 consecutive patients who attended appointments between 1 January 2019 and 6 March 2020 were reviewed. Subjects were included if they screened positive on the General Anxiety Disorder 7 (GAD7) or the Patient Health Questionnaire 9 (PHQ9) and attended follow up at least 4 weeks after initial treatment.
Results: Of the 22 included subjects, a clinically significant decrease of at least 5 points occurred in 76% of individuals with elevated baseline PHQ9 scores and 59% of individuals with elevated GAD7 scores. Mean PHQ9 and GAD7 scores decreased 7.5 (p<0.0001) and 4.6 (p<0.008) points, respectively. Mild adverse events were reported in 9 charts (41%). No serious adverse events were reported. Most subjects were also in the care of a medical doctor and counsellor.
Conclusion: Naturopathic medicine as performed on the Mental Health Shift may be effective in reducing depression and anxiety symptoms as an adjunctive treatment. Further research incorporating comparison groups is warranted.
Prevalence and associated factors of substance use disorders among people who use drugs: a population-based cross-sectional study in the Western Province of Sri Lanka
Authors: Nawaratne Sashiprabha Dulanjalee , Vidanapathirana Janaki
Published: March 2024

Introduction: This study aimed to assess the prevalence of substance use disorders and associated factors among people who use drugs in the Western Province of Sri Lanka. Methods: A cross-sectional study was conducted in the Western Province of Sri Lanka, using a respondent-driven sampling technique. Sampling was initiated with 20 seeds and peers were recruited by peers through handing out coupons. The number of recruited participants was proportional to the estimated number of people who use drugs in each district of Western Province. A total of 870 people who use drugs participated in the study. A validated Sinhala version of the Drug Abuse Screening Test was used to assess the drug use severity among the participants and a pre-tested validated questionnaire was used to collect data to assess the associated factors. RDS Analyst software version 0.64 was used to assess frequency estimates. To assess factors associated with substance use disorders multiple logistic regression analysis was performed using SPSS software version 22.  Results: The median age of the study sample was 39 years. The incidence of substance use disorder among the sample was 88.4%. Being employed, using heroin as a psychoactive drug, using drugs daily, using more than one drug, being a heavy alcohol user, buying drugs, stealing money or exchanging goods to get drugs, spending a substantial amount per month on drugs (Rs > 40,001), past or present medical history of tuberculosis and those who had disclosed their drug use behavior to their immediate family were found to be significantly associated with an increased risk of having a substance use disorder. Conclusion: A high prevalence of substance use disorder was found in the sample with multiple economic, behavioral, and health-related risk factors.