bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of Fuzzy Logic in Cyber Security System: Cyber Threat Intelligence
Authors: Sharma Ramesh Kumar , Singh Dharmendra Kumar , Kumar Avinash , Burnwal A. P. 
Published: February 2024

Purpose of the study: Fuzzy logic is a mathematical concept that allows for the handling of uncertain or imprecise data. In cyber security, fuzzy logic can be used to improve the accuracy and efficiency of security systems. Cyber threat intelligence plays a crucial role in modern cybersecurity by enabling organizations to proactively identify, analyse, and respond to potential cyber threats. With the increasing complexity and sophistication of cyber threats, effective cyber threat intelligence has become a critical component of modern cybersecurity. Traditional approaches often struggle to handle the inherent uncertainties and complexities in threat intelligence data.
Methodology: Through a comprehensive literature review, examines the current state of cyber threat intelligence and the principles of fuzzy logic. The paper presents a detailed analysis of how fuzzy logic can be applied to various aspects of cyber threat intelligence, including threat modelling, detection and classification, risk assessment, and decision support systems.
Main Findings: The findings highlight the benefits of using fuzzy logic in cyber threat intelligence and pave the way for further research and development in this promising field. The future prospects and challenges of integrating fuzzy logic with other advanced technologies such as machine learning and artificial intelligence.
Applications of this study: The proposed approach has the potential to significantly improve the analysis and decision-making processes in agriculture, helping farmers to make more informed decisions about crop treatments and ultimately increasing crop yields.
Novelty/Originality of this study: The outcomes of this research contribute to advancing the field of cyber threat intelligence and provide valuable insights into the practical implementation of fuzzy logic for better threat analysis and mitigation strategies.
Bacteria-mediated synthesis of silver nanoparticles under photo-irradiation and their efficacy against methicillin-resistant Staphylococcus aureus
Authors: Malik Hafiza A. , Saleem Shehar yar , Usama Muhammad A. , Fatima Noor-ul-ain 
Published: February 2024

ABSTRACT
Over the last few decades, morbidity and mortality rates from infectious diseases have increased due to antibiotic resistance. Community-acquired and nosocomial-related methicillin-resistant bacterial strains are proliferating, which makes the discovery of new antibiotics and the search for new approaches to fight pathogenic bacteria an urgent task. One of the new promising classes of antimicrobials is silver nanoparticles (AgNPs). The goal of this study was to investigate the bacteria-mediated synthesis of AgNPs and evaluate their antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA). Indigenous bacteria from soil samples from Multan (Pakistan) were isolated and three strains – Klebsiella spp., Citrobacter freundii, and Bacillus cereus – were selected for the synthesis of AgNPs under photo-irradiation. The biosynthesis of AgNPs was confirmed by UV-visible spectroscopy. The AgNPs obtained in our experiments showed strong antibacterial activity against MRSA isolated from patients with community-acquired skin infections (from the dermatology ward of Jinnah Hospital Lahore) with 15 mm to 25 mm zones of inhibition (ZOI) according to the well diffusion method. The results of this project showed that microbial reduction of AgNO3 under photo-irradiation produces AgNPs that are highly active against MRSA.
Kreowanie wizerunku medialnego sportowca w mediach społecznościowych. Analiza porównawcza profili Stephena Curry’ego i Lebrona Jamesa na Instagramie
Authors: Kaźmierczak Pola 
Published: February 2024

Celem pracy była ocena wizerunku kreowanego przez sportowców w mediach społecznościowych na przykładzie kont Stephena Curry’ego i Lebrona Jamesa. W artykule posłużono się metodą analizy mediów oraz metodą dedukcyjną.
Artykuł rozpoczęto od zagadnień teoretycznych będących podstawą do analizy badanego zagadnienia. Zdefiniowano pojęcia wizerunku, wizerunku medialnego i marki osobistej. Scharakteryzowano sylwetki i kariery koszykarskie Stephena Curry’ego i Lebrona Jamesa. W celu oceny kreowanego przez sportowców wizerunku zastosowano analizę porównawczą profili Curry’ego i Jamesa na Instagramie. Ustalono częstotliwość udostępnianych treści oraz ich rodzaje. Następnie oceniono skuteczność działań prowadzonych przez obydwu koszykarzy w serwisie społecznościowym.
Najważniejszym wnioskiem było stwierdzenie, że treści udostępniane przez zawodników pozytywnie wpływają na ich wizerunek. W toku badań ustalono, że Lebron James jest sportowcem, który skuteczniej buduje zaangażowanie z użytkownikami portalu społecznościowego Instagram.
TREND ANALYSIS OF UGANDA’S COFFEE SECTOR
Authors: ATEGEKA STEWART 
Published: February 2024

Coffee (Coffea arabica and C. canephora) is an important commercial crop globally, and the second most traded global commodity by developing nations after oil. Uganda is among the top 10 coffee exporters worldwide, and second in Africa. The total export amounted to 301,366 tons of “green” coffee in 2021, forming the second-largest commodity export, and contributing about 12.4% to Uganda’s total formal exports. However, the country’s overall performance over time remains unclear given the fluctuations in production and export prices. This study aimed to evaluate the production and export trends of Uganda’s coffee sector by: (i) defining the overall direction of coffee production and export value, (ii) assessing the market variability, and (iii) evaluating the global cross-cutting issues regarding coffee production and export. Data was extracted from FAOSTAT and Uganda Coffee Development Authority (UCDA) databases. Trends were analysed using the Mann-Kendall and Sen’s Slope test, while market variability was analyzed using the fixed base index (FBI) and coefficient of variation. VOSviewer software was used to analyze literature from the Web of Science database to highlight cross-cutting issues. Results indicated a significant positive increase in coffee production and export value (p = 0.0001, Slope = 1736.67 tons and p = 0.001, Slope = 4.44 million USD) respectively. Among the top ten coffee producers, Uganda presented the third worst unstable coffee export value with a 20.1% coefficient of variation. Fairtrade, climate change, and certification were the most outstanding global cross-cutting issues. Market stabilization mechanisms should be developed through value addition by establishing coffee processing and roasting plants, as well as strategic governance and policy support to counter emerging global challenges such as climate change.
IMPACT OF CLIMATE CHANGE ON PEOPLES’ LIVELIHOOD AND LIVESTOCK PRODUCTION IN UGANDA
Authors: Wafana Ivan 
Published: February 2024

Livestock sector in Uganda contributes significantly towards individual household income and food security and even though peoples’ dependance on livestock production for survival in Uganda is a reality, it’s also undeniable that livestock, which provides food and revenue on a worldwide scale, would be vulnerable to the direct or indirect consequences of climate change. Agriculture contributed 24.1% of the Uganda’s GDP in the financial year (FY) 2021–2022 and according to the Uganda bureau of standards (UBOS), agriculture employs over 70% of Uganda's working population. The purpose of this present study was to to evaluate the impact of climate change on peoples’ livelihood and livestock production in Uganda. Bibliometric analysis was the quantitative technique used for reviewing and describing published publications that assisted in evaluating academic works from secondary data obtained on digital databases in the context of this study. The VOS viewer software was used as a tool to perform the co-occurrence analysis, and then to realize the visualization of the impact of climate change on peoples’ livelihood and livestock production in Uganda using articles analysed on platform research with associated references from the Web of Science database. The visualisation highlighted topical areas that reflect the impacts of climate on peoples’ livelihood and livestock such as diseases, drought, coping strategies, greenhouse gases, drought, vulnerability, dry lands, mobility among pastoral communities, low productivity, reduced forage resources, elevated temperature extra all of which negatively affects the economic levels of individuals and the national income from livestock either directly or directly. Conclusively, interventions that are aimed at improving climate smartness in Uganda’s livestock farming communities may have significant food security and income benefits for different livelihoods.

Keywords: climate, livestock animals, livelihood, income
THE PROFIT EFFICIENCY OF MORINGA OLEIFERA PRODUCTION IN OSUN STATE, NIGERIA
Authors: Kehinde Ayodeji 
Published: February 2024

This study examined the profit efficiency of Moringa oleifera production by farmers in Osun State, Nigeria. Primary data were obtained from 150 respondents. Multistage sampling procedure was used for selecting respondents. The data were analyzed with the aid of descriptive statistics, budgetary analysis and stochastic frontier production function. The findings revealed that male predominate moringa enterprise with about 55.3% male, most producers fall between the age bracket 41-50years with a mean age of 44.92 (± 13.168) years and the average farm size is 0.3 hectares whilst indicating that most producers had less than 0.1 hectares of land. Moringa production had a benefit cost ratio of ₦5.852, profit margin of ₦0.182, expense structure ratio of ₦0.107, net return on investment ₦4.857, rate of return of ₦5.482 and profitability ratio of ₦0.981. The average profit efficiency of moringa producers was 18.73% on the profit frontier. Family labour, hired labour and transport cost were significant and had positive coefficient while the seed cost, pesticide cost, level of education and farm size are also significant but bears negative coefficient. The level of education and farm size are amongst the inefficiency variables considered. This study concludes that Moringa oleifera production is highly profitable but producers have not been able to maximize profit efficiency. It therefore recommends that producers improve on adding value to moringa products and extend their channels of distribution considering the cost incurred on transportation.
Ativos fiscais diferidos, qualidade de lucros e seus efeitos nos resultados dos bancos: Evidências no Brasil
Authors: Almeida Rodrigo Ferraz de , Monte-mor Danilo Soares 
Published: February 2024

Contextualização: Os Ativos Fiscais Diferidos (AFD) podem tornar a qualidade de lucros poluída pelo seu uso, pois, os lucros apresentados estarão inflados por esses ativos, resultantes de operações financeiras discricionárias.
Objetivo: Esse estudo teve por objetivo identificar os efeitos dos AFD na perspectiva de qualidade de lucros dos bancos, sendo utilizadas as proxies persistência de lucros, alisamento de lucros e Earning Response Coefficient (ERC).
Método: Os testes empíricos tiveram por base as informações dos relatórios financeiros dos bancos, Banco Central do Brasil (BACEN), Bloomberg e Economatica® de 2017 a 2021, sendo estimados por dados em painel.
Resultados: Os resultados sugerem que, quanto maiores os AFD, maiores serão a persistência de lucros e os lucros inesperados pelo ERC e, menor será o alisamento de lucros.
Conclusões: A perspectiva de qualidade de lucros exibida nos resultados evidencia a validação dos modelos propostos, contribuindo não somente para o tema AFD e a qualidade de lucros, mas, também, a associação do uso discricionário desses ativos como geradores de resultados poluidores dos bancos, sendo constatados, nesse estudo que, os médios apresentaram significância no uso dos AFD para a persistência de lucros, e os pequenos para a persistência e o alisamento de lucros, sendo beneficiados quanto às movimentações de empréstimos concedidos e de estoques de AFD, tornando-os mais persistentes e alisados ao longo do período amostral.
Preoperative Bladder Scanning Can Predict Postoperative Urinary Retention Following Total Joint Arthroplasty
Authors: Magaldi Robert James , Strecker Sara Elaine , Nissen Carl W. , Witmer Dan K. , Carangelo Robert James 
Published: February 2024

Background:
As total joint arthroplasty (TJA) moves to the outpatient setting, it is becoming clear that postoperative urinary retention (POUR) is a potential impediment to same-day discharge. Although risk factors for POUR have been widely studied, the lack of their clinical utility warrants investigation of specific preoperative factors that can assist in surgical planning and patient optimization. The purpose of the current study was to determine whether preoperative symptom surveys and bladder scanning are useful tools in identifying POUR risk.

Methods:
We performed a prospective analysis of patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA) at a high-volume orthopaedic hospital between December 1, 2020, and September 30, 2021. A total of 507 patients (324 female and 183 male) undergoing TJA completed the American Urological Association (AUA) symptom index preoperatively and then again at 14 and 64 days postoperatively. Post-void bladder scans were obtained in the immediate preoperative setting. POUR was defined as a bladder volume of >500 mL that required catheterization. Chi-square and quintile analysis were used to compare bladder scanning volumes, and Student t tests were used to compare AUA scores.

Results:
The rate of POUR was 37% (66 female and 34 male) and 23% (37 female and 19 male) in the TKA and THA groups, respectively. Increasing post-void residual volume (PVRV) measured on preoperative bladder scanning was found to be predictive of POUR. Among the TKA cohort, younger age and lower body mass index were also associated with increased catheterization, although age was not statistically significant. The AUA symptom survey was not found to correlate with POUR in either population.

Conclusions:
There was a predictable and exponential increase in the rate of catheterization as preoperative PVRV increased from 50 to 200 mL. The AUA symptom score showed no utility in predicting POUR in our study population. We propose that preoperative bladder ultrasonography become standard practice in TJA, especially among patients scheduled for same-day discharge.

Level of Evidence:
Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
A machine vision-based method for recognizing standard movements in college sports tests
Authors: li Liang 
Published: February 2024

Abstract
Currently, the physical health of college students is extremely concerning, as a significant number of them lack physical activity, resulting in a severe decline in physical health. To promote the physical health of students and ensure the health of all people, the state has issued a policy to include the physical health of college students in the assessment and evaluation of colleges and universities, and the physical health test of college students has become an important criterion in the assessment and evaluation of different colleges and universities. However, because many test movements must be evaluated and scored by professional coaches, the formalization and marginalization of sports tests in colleges and universities has resulted from the lack of professional sports test coaches and teachers. To increase the professionalism of sports test instructors and coaches, as well as to reduce the labor costs associated with sports tests. In this paper, we propose using machine vision to recognize the sports test actions of college students by extracting the depth information of the actions via vision sensors, combining the information of human skeletal nodes, and separating the action image information from the background by choosing an appropriate depth distance threshold. Using a support vector machine (SVM) algorithm, the segmented gesture images are recognized and their normality is assessed. The conclusion of the dynamic action recognition and evaluation process is reached. Extensive testing demonstrates that this method is able to recognize test actions in real time and provide accurate scores.
Effects of microbial inoculants on the biomass and diversity of soil microbial communities: a meta-analysis
Authors: Li Chong , Chen Xinli , Jia Zhaohui , Zhai Lu , Zhang Bo , Grüters Uwe , Ma Shilin , Qian Jing , Liu Xin , Zhang Jinchi , Müller Christoph 
Published: February 2024

Abstract

Microbial inoculants, transplanting microorganisms from their natural habitat to improve plant performance, hold promise for sustainable agriculture and ecological restoration but also raise a potential concern as a purposeful invasion to alter soil resident communities. Current studies have mainly focused on the impact of microbial inoculants on altering soil microbial communities in various single soil conditions. However, the comprehensive impact of microbial inoculants on soil microbial community (biomass, diversity, structure, and network) under a large scale of soil resource conditions remains unknown. Through a meta-analysis of 335 studies, we found significant and positive effects of microbial inoculants on microbial biomass. More importantly, we discovered that environmental stress weakened their positive effects, while fertilizer application and the use of native microbial inoculants enhanced them. Moreover, increased initial soil nutrients amplified the positive impact of microbial inoculants on fungal biomass, actinomycete biomass, microbial biomass carbon, and microbial biomass nitrogen. Although microbial inoculants did not significantly alter microbial diversity, they induced changes in microbial community structure and bacterial composition significantly. Lastly, we showed a reduction in the complexity of bacterial networks induced by microbial inoculants, along with increased stability. Our study highlights the overall positive impact of microbial inoculants on soil microbial biomass, emphasizing the benefits of native inoculants and the importance of considering soil nutrient levels and environmental stress.
A Survey Exploring Ophthalmologists’ Attitudes and Beliefs in Performing Immediate Sequential Bilateral Cataract Surgery (ISCBS) in Singapore
Authors: Chen David , Ng Victoria , Thiyagarajan Shwetha , Tan Clement 
Published: February 2024

Abstract

Objectives: To evaluate current practice patterns of Immediate Sequential Bilateral Cataract Surgery (ISBCS) by ophthalmologists in Singapore and assess their attitudes towards performing ISBCS in future cataract care.
Methods: An anonymised electronic survey, modified from a similar study conducted in the United Kingdom to fit local context, was distributed to members of the College of Ophthalmologists, Academy of Medicine, Singapore, from 20 June to 1 September 2023. An initial screening question on prior experience with ISBCS directed the rest of the survey. Questions explored ophthalmologists’ current ISBCS practice patterns and the importance of factors affecting their willingness to perform ISBCS. Results were descriptively analyzed.
Results: Results collated 2 months upon survey dissemination saw a total of 58 respondents from 235 eligible members (24.7% response rate). Of these, 16 (27.6%) were currently performing ISBCS, 37 (63.8%) had never performed, and 5 (8.6%) had stopped performing. In considering ISBCS, patient convenience (n=11, 68.8%) and reduced hospital visits (n=8, 50.0%) were the most important factors ophthalmologists nominated. The most important barriers to performing ISBCS were medico-legal issues (n=31, 83.8%) and risk of endophthalmitis (n=27, 73.0%), followed by the perceived lack of evidence for its effectiveness (n=19, 51.4%).
A Transfer Learning-Based Deep Learning Model for Automated Breast Cancer Identification in Mammograms
Authors: katiyar preeti 
Published: February 2024

Abstract
Breast cancer is a severe health issue that affects women all over the world, underscoring the need for reliable and effective screening techniques. The early detection, diagnosis, and treatment of breast cancer are made possible by computer-aided diagnostic (CAD) systems that rely on mammograms. This study introduces a unique deep-learning model that uses transfer learning to identify and categorize breast cancer automatically. Deep convolutional neural networks have been shown in several recent studies to diagnose breast cancer in mammograms with performance comparable to or even outperforming that of human experts. To extract attributes from the Mammographic Image Analysis Society (MIAS) dataset, the proposed model uses pre-trained convolutional neural network (CNN) architectures like ResNet50 and Visual Geometry Group networks (VGG)-16. This novel deep-learning model holds significant potential for enhancing the efficiency and accuracy of breast cancer detection and classification. A preprint has previously been published [1]
Study Protocol for a Randomized Controlled Trial of the Parent Child Assistance Program: A Case Management and Home Visiting Program for People Using Substances During Pregnancy
Authors: Maher Erin J. , Stoner Susan A. , Gerlinger Julie , Ferraro A. C. , Lepper-Pappan Heather 
Published: February 2024

Abstract
Background
Perinatal substance use can have significant adverse effects on maternal and child health and family stability. Few interventions are specifically designed to address this significant public health problem. The Parent-Child Assistance Program (PCAP) is a three-year case management and home-visiting intervention that seeks to help persons with at-risk substance use during pregnancy to achieve and maintain substance use disorder recovery and avoid exposing future children to substances prenatally. Although the program has consistently shown substantial pre- to post-intervention improvements in its participants, PCAP remains to be tested with a rigorous randomized controlled trial (RCT). This study protocol describes a randomized controlled trial that aims to examine the effectiveness of the intervention compared to services as usual in affecting primary outcomes related to substance use and family planning. Secondary outcomes will concern connection to recovery support services and family preservation.
Methods
Using an intent-to-treat design, the study will recruit from two metro areas in Oklahoma and enroll 200 individuals who are pregnant or up to 24-months postpartum with at-risk substance use during their current or most recent pregnancy. Participants will be randomly assigned, stratified by location, to receive either PCAP or services as usual for three years. Participants in the PCAP condition will meet with their case manager approximately biweekly over the course of the intervention period, in their local communities or in their own homes whenever possible. Case managers will assist with goal setting and provide practical assistance in support of participants’ goals. Primary and secondary outcomes will be assessed at baseline and 12, 24, and 36 months post-baseline using the Addiction Severity Index interview and a self-administered survey.
Discussion
Results from this trial will help to gauge the effectiveness of PCAP in improving parent and child well-being. Results will be reviewed by federal clearinghouses on home-visiting and foster care prevention to determine the strength of evidence of effectiveness with implications for federal financing of this program model at the state level.
Trial Registration:
This study was registered at clinicaltrials.gov (NCT05534568) on 6/8/2022.