bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Attention-Deficit and Hyperactivity Disorder in Online Learning
Authors: Patil Pooja Yogesh , Sarode Bhargavi Shirish , Chavan Pallavi Vijay , Goje Nitin S. , Williams Idongesit
Published: February 2024

The rise of online learning poses challenges in identifying and supporting students with cognitive disorders, notably ADHD. This neurodevelopmental disorder, diagnosed in childhood, impacts academic performance. With the prevalence of online education, early detection and intervention for ADHD are crucial. Predictive techniques using digital traces, behavioral patterns, and physiological data during online sessions are studied. Machine and deep learning models, including supervised and unsupervised approaches, identify ADHD-related behaviors. Natural language processing analyzes textual interactions for signs of inattention or hyperactivity. Eye-tracking and physiological sensors reveal attention levels during online activities. Though offline classrooms allow direct interaction, these techniques enable timely interventions, enhancing ADHD students' experiences in the digital learning era. Further research to refine and address challenges will contribute to a more inclusive and effective online learning environment.
Early Onset Detection of Alzheimer's Disease Based on Intelligent Techniques
Authors: Jadhav Dipti Shailendra , Singh Namrata , Pawar Vaibhav , Bhatane Pravin , Waghachoude Rutik , Patil Vighnesh
Published: February 2024

Alzheimer's disease (AD) is a life-threatening disease in senior citizens. Alzheimer's disease affects reasoning and recollection while also causing the overall size of the brain to diminish, ultimately leading to death. The development of more effective therapies for AD depends on an early identification of the condition. In this chapter, authors propose to use machine learning techniques for early onset detection of AD. Authors have generated a dataset based on features which represent the early symptoms of AD. Experimental results have been obtained using Random Forest, SVM, XGBoost, and Naive Bayes classifiers. The experimental results have been evaluated using metrics such as the confusion matrix, accuracy, and sensitivity. The XGBoost model provides an average validation accuracy of 86% on AD test data which is comparable to the well-established techniques in the literature.
An In-Depth Exploration of Nonwoven Materials in the Healthcare and Medical Sector
Authors: Dhabliya Dharmesh , Veeraiah Vivek , Dari Sukhvinder Singh , Kumar Jambi Ratna Raja , Dhabliya Ritika , Gupta Ankur , Pramanik Sabyasachi
Published: February 2024

This chapter provides an overview of nonwoven materials in the healthcare industry, discussing their various uses, characteristics, advantages, challenges, recent developments, and potential future prospects. The essential nature of nonwovens lies in their barrier efficiency, breathability, and comfort, making them indispensable for surgical gowns, face masks, sterile packaging, wound dressings, and hygiene products. The chapter emphasizes the cost-effectiveness, disposability, and infection control offered by nonwoven materials, while also discussing their environmental impact and compliance with regulations. The dynamic advancement of these materials is demonstrated through the integration of nanotechnology and the development of smart nonwovens. Looking ahead, the availability of biodegradable alternatives and customized healthcare solutions is expected, driven by sustainability, technology, and emerging trends. The implications for the healthcare sector include enhanced patient safety, improved operational efficiency, and increased sustainability.
Introduction to Neurodegenerative Diseases
Authors: Seyedebrahimi Reihaneh , Yang Piao , Azimzadeh Maryam , Farsani Mohsen Eslami , Ababzadeh Shima , Kalhor Naser , Sheykhhasan Mohsen
Published: February 2024

Neurons are vital for brain function and communication. Neurodegeneration, the irreversible loss of neurons, disrupts brain-body interactions, causing diseases like Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), multiple sclerosis (MS), and Parkinson's disease (PD). Factors like aging, genetics, and environment contribute to these disorders. They affect various neurons, leading to speech, movement, sensory, and balance issues. Alzheimer's features amyloid plaques affecting memory. Parkinson's stems from midbrain dopaminergic neuron loss, causing tremors and mobility problems. Huntington's, a basal ganglia disorder, results from a gene mutation, inducing involuntary movements. MS involves neuron demyelination, causing diverse complications. ALS entails motor neuron degeneration, resulting in muscle weakness and paralysis. This chapter aims to provide a brief overview of neurodegenerative diseases and an introduction to some of its key characteristics.
Cloud-Based IoT Data Warehousing Technology for E-Healthcare
Authors: Onyebuchi Amaonwu , Matthew Ugochukwu Okwudili , Kazaure Jazuli Sanusi , Ebong Godwin Nse , Ndukwu Charles Chinonso , Nwanakwaugwu Andrew Chinonso , Okey Ogobuchi Daniel
Published: February 2024

This chapter concentrated on the digital economy evolution with particular emphasis on the electronic healthcare (e-healthcare) cloud enterprise data warehouse design. The research was inspired to provide a high-level technology computing framework for the development of health grid ecosystem for e-healthcare data flow implementation. The chapter provided a detailed discussions on how clinic data warehousing in combination with data mining techniques can improve various aspects of healthcare sector and health information and highlight the numbers of critical issues in the implementation of e-healthcare delivery. The research modelled an e-healthcare digital ecosystem for clinical record federation and provided gateway for accessibility to distinctive stakeholders in the e-healthcare system supply chain that concentrated on distribution of medical information required for healthcare analysis across the biomedical spectrum from public health to patient care through the development of cloud enterprise data warehouse technology in line with digital society extreme automation.
Designing and Piloting a Digital Mental Health Intervention Rooted in the Principles of Mindfulness and Emotional Intelligence for Corporate Employees
Authors: Dias Noel Singh , Patangia Bishal
Published: February 2024

This study examined the impact of a one-month online-based mindfulness meditation intervention focusing on the emotional intelligence (EI) of 100 corporate workers in India. Using a Quasi-experimental approach (pre- and post-test), participants underwent weekly workshops over four weeks. Post-assessment revealed significant improvements in EI domains: 28% in self-regulation, 30% in self-awareness, 10% in empathy, 18% in motivation, and 23% in resilience. Qualitative feedback highlighted benefits such as increased concentration, goal reflection, stress relief, and improved self-control. Participants also noted a focus on health, attributing it to mindfulness practices. These findings suggest that structured mindfulness interventions, rooted in EI principles, can substantially enhance EI in corporate settings, advocating for their integration to improve well-being and productivity among employees at the workplace.
What Does Positive Psychology Mean to the People of India?
Authors: Lahiri Ahana
Published: February 2024

This chapter explores the nuanced perspective of positive psychology within the cultural context of India. Positive psychology, an evolving field focusing on human well-being and flourishing, has gained prominence globally. However, it's application and significance within the Indian context remains relatively unexplored. By examining indigenous concepts such as happiness and well-being, the chapter unveils how positive psychology aligns with and diverges from traditional Indian philosophies and practices. The findings shed light on the ways in which positive psychology is embraced, adapted, and critiqued by the diverse population of India, considering factors like social structures, spirituality, and economic conditions. This chapter contributes to the broader discourse on positive psychology by highlighting the importance of cultural context in shaping its meaning and practices, and offers insights that could inform interventions tailored to the Indian context while also enriching the global discourse on human flourishing.
Enhancing Access to Electronic Information Through Digital Transformation in KwaZulu-Natal Department of Health Libraries in South Africa
Authors: Ntloko Nonhlanhla P. , Masenya Tlou Maggie
Published: February 2024

This chapter analyses the role of digital transformation in KwaZulu-Natal Department of Health Libraries in South Africa, exploring if and how digital technologies can be adopted and used in enhancing access to electronic information. The chapter utilised literature review to critically analyse the role of digital transformation in healthcare libraries, digital technologies used in enhancing access to electronic information, challenges of digital transformation in healthcare libraries, and the strategies to overcoming these challenges. Technology acceptance model (TAM) was used as the underpinning theory to guide this study. Recommendations suggest a need to prioritize digital transformation and provide enough resources to healthcare libraries and formulate policies that would facilitate this process.
The Role and Significance of Accreditation in Higher Education Institutions
Authors: Mulimani Mallikarjun , Naikar Satishkumar
Published: February 2024

Accreditation plays a vital role in higher education institutions by ensuring quality and standardization. It serves as a measure of an institution's academic programs, faculty qualifications, student support services, and infrastructure. By maintaining accountability and transparency, accreditation upholds standards of excellence and promotes continuous improvement. Accreditation enhances an institution's credibility and reputation, providing a recognized stamp of approval. It also facilitates student mobility and recognition of qualifications, ensuring that degrees and certificates hold value and are widely accepted by other institutions and employers.
Digital Library Services and Their Importance in Academic Libraries
Authors: Chavan Kantappa , Naikar Satishkumar
Published: February 2024

The purpose of the study is to highlight digital library services and their importance in academic libraries. Digital libraries are a group of files in digital form accessible on the net or CD-ROM disk. Depending on the precise library, a consumer may be able to get admission to magazine articles, books, newspapers, snapshots, sound documents, and films. The virtual library is one of the maximum cutting-edge trends in library and statistics technology, which helps its users to seek information via the internet. A digital library is prepared for greater ideas and statistics and guides different offerings and places wherein the order is saved in digital format and can be retrieved over networks. Digital libraries are systems presenting the person with resources and getting the right of entry to a very big range; the digital library information prepared storeroom of the records awareness digital library is an international digital library.
The Contribution of ICTE to the Teaching of Literature Within the Action-Oriented Perspective
Authors: Zine El Abidine Mohammed , Ouariach Fatima Zahra , Nejjari Amel
Published: February 2024

In recent years, increasing emphasis has been placed on the integration of ICTE. In particular, the teaching of literature has been at the center of this integration, with the aim of improving student engagement and learning outcomes. In this regard, the action-based approach emphasizes the active engagement of students and the concrete relevance of teaching literature. This chapter aims to explore the integration of ICT into the teaching of literature within the framework of the action-based approach. More specifically, the chapter will address the following questions: What is the action-based approach to teaching literature? How can ICT be used to improve the teaching of literature within the action-based approach? And what are the challenges of integrating ICT into the teaching of literature using the action-based approach? In addressing these questions, this chapter seeks to provide an overview of the potential benefits and challenges of integrating ICT into the teaching of literature, and to offer practical suggestions for educators seeking to do so.
The Axiological Dimension in the Study of Literary Works in the Qualifying Cycle Between Possibility and Difficulties of Implementation
Authors: Azirar Chafik
Published: February 2024

According to the Pedagogical Guidelines (July 2007) for qualifying secondary education, the teaching of the French language is done through three inputs: entry through skills, actional entry, and entry through values. While the first and second entries are of particular interest, the third remains vague insofar as its field of investigation is thorny and impossible to define in terms of didactic implementation. The aim of this chapter is to highlight the various reasons justifying the didactic and docimological ambiguities regarding the implementation of the axiological dimension in the study of literary works programmed in the qualifying cycle, in particular, on a theoretical basis and according to a sample collected and analysed from 50 French-language teachers.
When the Development of Socio-Pedagogical Theories and the Evolution of ICT in FAD Intersect
Authors: Chinkhir Btissam , Ibrahimi Ahmed
Published: February 2024

In a succinct way, the chapter will question the joining of the social aspect to the educational sciences and will then shed light on learners' representations of this new environment, since the success of projects to introduce ICT into training is no longer a function of the power of the technologies, but also of the ability of trainers to exploit their potential in order to change their mentality. In this vein, the chapter proposes a retrospective analysis of the fact that e-learning cannot be achieved without a panoply of skills contributing to the efficiency of digital learning. In this light, the chapter draws a theoretical outline of the key concepts, explaining the historical perspective of sociopedagogy, followed by a practical sketch focusing on an inventory of the representations that future teachers make of the integration of ICT into an ADT. What, then, is the specific contribution of social theories of communication to the integration of ICT? What are the different skills that trainers need to develop to support learners in their training?
Synergistic Integration of Gazebo and ROS
Authors: Jdidou Aymane , Aammou Souhaib
Published: February 2024

This research explores the synergy between Gazebo, a high-fidelity robotic simulator, and ROS, a robotic operating system facilitating inter-robotic communication and control. The study highlights how their integration enables advanced robotic simulations, providing a safer, virtual testing ground for robotic algorithms. This mitigates real-world testing risks. The chapter emphasizes the importance of simulated learning scenarios created through Gazebo and ROS, offering a platform for robotic programming. These simulations allow for algorithm optimization and error correction in a risk-free environment. To support the findings, case studies are presented, demonstrating how these tools aid in designing and testing robotic solutions. The research underscores the benefits of simulation-based learning in robotics and advocates for further exploration of Gazebo and ROS in robotic research. Mastery of these tools is deemed essential for progress in the field.
Modeling Cognitive Problem-Solving Processes
Authors: Bahbah Asmae , Erradi Mohamed
Published: February 2024

Modeling cognitive and meta-cognitive problem-solving processes is a systems approach to understanding how individuals solve problems using their thinking and reasoning. These models attempt to represent the mental steps and mechanisms involved in solving complex problems. Moreover, modeling cognitive problem-solving processes can contribute to a more efficient and adaptive design of intelligent tutorial systems, as it would enable instructional designers of e-learning environments to set up individualized support, relevant feedback, and learning activities tailored to the needs and preferences of each learner, thus promoting a more enriching and successful learning experience. The aim of this chapter is to provide readers with the theoretical underpinnings and an in-depth understanding of how cognitive and metacognitive models work in the first place, and how they can be applied to design effective and adaptive expert problem-solving systems in a variety of application domains.
Effects of Surfactants on the Corrosion Behavior of Aluminum Alloy in Graphene Nanofluid
Authors: Borode Adeola , Ahmed Noor A. , Olubambi Peter Apata
Published: February 2024

In this study, the corrosion behavior of aluminum alloy was investigated in graphene nanoplatelet (GNP) nanofluids prepared with different surfactants. The surfactants include sodium dodecylbenzene sulfonate (SDBS), sodium dodecyl sulfate (SDS), Tween 80, and Gum Arabic (GA). The corrosion properties of the alloy in the different GNP nanofluids were evaluated using potentiodynamic polarization tests at room temperature. The surface morphology of the aluminum alloy was analyzed using a scanning electron microscope coupled with an electron dispersive spectroscopy detector. The experimental results revealed that the addition of surfactants improves the resistance of the aluminum alloy to corrosion in the nanofluid. This was attributed to the adsorption of surfactants on the surface of the alloy to form a protective film layer, which reduces moisture permeability and enhances corrosion inhibition. The addition of GA was found to exhibit the highest inhibition efficiency. This was followed by Tween 80, SDS, and SDBS, which contributes the least inhibition. XRD post-corrosion analysis also reveals the presence of aluminum oxide and aluminum hydroxide phases on the surface of electrodes immersed in all the different GNP nanofluids.
Biocontrol potential of some selected native bacterial antagonists against tomato (Solanum lycopersicum L.) early blight causal agent Alternaria alternata
Authors: Sandani H. B. P. , Sithumini G. G. C. , Weerahewa H. L. D.
Published: February 2024

Seven selected bacterial antagonists isolated from healthy tomato rhizosphere and phyllosphere were evaluated for their biocontrol efficacy against the tomato early blight causal agent Alternaria alternata under in vitro conditions. The causal organism of early blight of tomato was isolated from a tomato leaf sample which showed early blight symptoms and verified it as Alternaria alternata. Healthy tomato rhizosphere soil, fructosphere and phyllosphere extracts were used as the potential sources of antagonists. Thirty bacterial isolates from tomato rhizosphere soil and 22 bacterial isolates from tomato phyllosphere were isolated using serial dilution technique. Out of those isolates, 24 were subjected to antagonists screening procedure. It was observed that, all the bacterial isolates except RA 5, RA 21, PA 1, PA 2, inhibited the growth of A. alternata significantly (p<0.05) in co-cultivation and dual culture showing an average radial growth inhibition of 69 %. Seven different bacterial isolates coded as RA 8, RA 12, RA 17, RA 18, RA 29, PA 4 and PA 12 were selected for further studies. Based on 16 S rRNA analysis, four of these antagonists were identified as Bacillus thuringiensis, Bacillus cereus and Pseudomonas sp. Microscopic observations of A. alternata hyphae subjected to antagonism showed deviations from the normal hyphae including thickenings, swellings and vacuolation. Inhibition of A. alternata spore germination by selected antagonists was significant at p<0.05 level with an average inhibition of 83.7 %. All the selected antagonists produced diffusible antifungal substances and showed hyperparasitism and competition as their mechanisms in antagonizing the fungal pathogen A. alternata. These results suggested that these seven bacterial isolates can be further explored as potential biocontrol agents in controlling early blight disease in tomato.
Influence of Social Media Marketing on Perceived Brand Equity of Fashion Brands in Sri Lanka
Authors: Fonseka M. A. S. S.
Published: February 2024

The emerging market is presently witnessing the proliferation of online shopping by giving a vital advantage of many more good choices than traditional shopping. In recent years, the rapid growth of online shopping platforms has raised the question of whether this growth has reduced the marketer's control of its brand and brand management techniques. Brand equity is crucial in the marketing environment, and identifying social media marketing's influence on fashion brands in Sri Lanka is essential. However, studies on brand equity calculation in Sri Lanka are limited, questioning its relevance. The study has examined how social media marketing has affected Sri Lankan fashion brands' total brand equity. A quantitative research approach was adopted in this research and a questionnaire survey was conducted to collect data. The researcher used convenient sampling method to collect the data and questionnaire was used as the research tool. It employed SSPS-23 version analyze the collected data. Based on the results obtained from the analysis. It has executed the regression analysis to test the hypotheses whilst main assumptions were reported in advance. The result suggests that all independent variable has a significant impact on the dependent varibles. Aadditionally, researcher has given valuable recommendations based on the key findings whilst further research directions were also suggested at the end.
Causal Factors of Customer Loyalty in Sri Lankan Banks
Authors: Riyath Mohamed Ismail Mohamed
Published: February 2024

Aim: This study investigates the key factors influencing customer loyalty in the banking sector of Sri Lanka.Methodology: The research adopted a quantitative methodology using a survey design. The sample comprised 200 banking customers from the Colombo district, selected through random sampling. Data were collected via a structured questionnaire and analyzed using multiple regression in SPSS.Findings: The results revealed four factors as significant drivers of customer loyalty - perceived quality, corporate image, trust, and perceived value. However, switching costs were found to impact loyalty negatively. Interestingly, customer satisfaction showed no significant relationship. The model explained approximately 66% of the variance in loyalty.Implications: The findings provide valuable insights for academic literature on loyalty antecedents in banking and have practical implications for managers seeking to improve customer retention. Enhancing positive drivers is recommended, while high switching costs should be cautiously implemented to avoid alienating customers.Originality: This study makes an essential contextual contribution as existing knowledge on customer loyalty in Sri Lanka's banking sector is limited. The findings advance understanding by revealing how established determinants operate in this context, with unexpected results for satisfaction. The research provides a springboard to address gaps through expanded sampling, longitudinal approaches, and qualitative research.
Masticatory performance and oral health related to quality of life before and after orthodontic treatment: a systematic review and meta-analysis
Authors: Sabzevari Berahman , Fatemi Arezousadat , Soleimani Milad , Sajedi Seyed Masoud , Babazadehkhoushrodi Roksana
Published: February 2024

Masticatory performance is considered an important step in the beginning of the digestive process and considering the patient’s aesthetic and functional factors, it is necessary to choose appropriate treatments. Based on the evidence during orthodontic treatment, the restoration of the physiological function of masticatory performance should not be neglected. The present study aimed to evaluate the association between orthodontic treatment and improved masticatory performance and oral health related to quality of life. In the present study, all articles published till the end of August 2023 were extracted by two trained researchers independently through a search in databases like PubMed, Scopus, Science Direct, ISI, Web of Knowledge, Elsevier, Wiley, and Embase, and Google Scholar search engine using keywords and their combinations. Data analysis was done using the fixed effects model in a meta-analysis, by STATA (version 17); a P-value of less than 0.05 was considered significant. Based on the results, the mean difference in masticatory performance between pre-treatment and post-treatment was 2.23 (MD: 2.23; 95CI, 2.17, 2.29. p<0.01; I2= 99.98%; p<0.01). The mean difference in oral health related to quality of life between pre-treatment and post-treatment was -32.23 (MD: -32.23; 95CI, -33.35, -31.11. p<0.01; I2= 97%; p<0.01). Orthodontic treatment had a positive effect on masticatory performance and improved the quality of life of patients after treatment.
SALUTO DEL PRESIDENTE DELL'ISTITUTO LOMBARDO
Authors: Maiorana Stefano
Published: February 2024

Non disponibile.
Authors’ Response
Authors: Pinho Ana Isabel , Oliveira Cátia , Santos Luís Daniel , Marques Catarina , Cabrita André , Dias Paula , Pestana Gonçalo , Sousa Carla , Rodrigues Rui André
Published: February 2024

Dear Editor,We would like to thank Dr. Madias for his valuable comment on our original article entitled “QT interval prolongation in Takotsubo Syndrome: a frightening feature with no major prognostic impact” published in Monaldi Archives for Chest Disease on December 6, 2023...
Role of Chia Seed (Salvia hispanica L.) Supplements in Managing Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis
Authors: Kamrul-Hasan A. B. M. , Yadav Ashmita , Mondal Ershad , Nepali Ram Bahadur , Nur-A-Musabber  , Aalpona Fatema Tuz Zahura
Published: February 2024

Background:

Chia seeds have been used traditionally for treating several diseases, including diabetes mellitus (DM). No meta-analysis has holistically analyzed and summarized the effect of chia seed supplementation on glycemic and metabolic parameters in patients with type 2 DM (T2DM); we conducted this meta-analysis to bridge this knowledge gap.

Methods:

Electronic databases were searched for clinical trials involving patients with T2DM receiving chia seeds in the intervention arm and control diet in the comparator arm. The primary outcome was the changes in glycated hemoglobin (HbA1c) from the baseline at the end of the trial.

Results:

From 60 initially screened articles, data from four randomized controlled trials involving 244 subjects were analyzed. Chia seed was not superior to control diets in HbA1c reduction (mean differences [MD] −0.09%, 95% confidence interval [CI] [−0.48, 0.29], P = 0.63, I
2 = 95%). It was inferior to control diets in fasting plasma glucose reduction (MD 0.27 mmol/L, 95% CI [0.17, 0.37], P < 0.00001, I
2 = 0%). Chia seed was superior to the control diets regarding reductions in body weight (MD −1.58 mmol/L, 95% CI [−2.96,−0.20], P = 0.03, I
2 = 0%), systolic blood pressure (MD 13.15 mmHg, 95% CI [−22.18, −4.12], P = 0.004, I
2 = 0%) and diastolic blood pressure (MD −7.38 mmHg, 95% CI [−13.04, −1.72], P = 0.01, I
2 = 0%). Changes in C-reactive protein and lipid parameters were similar in the two groups.

Conclusion:

Current data do not support chia seeds’ glucose-lowering efficacy in patients with T2DM.
From loom spaces to veering triangulations
Authors: Schleimer Saul , Segerman Henry
Published: February 2024

We introduce
loom spaces
, a generalisation of both the
leaf spaces
associated to pseudo-Anosov flows and the
link spaces
associated to veering triangulations. Following work of Guéritaud, we prove that there is a locally veering triangulation canonically associated to every loom space, and that the realisation of this triangulation is homeomorphic to

\mathbb{R}^{3}

.
Transposed Poisson structures on the Lie algebra of upper triangular matrices
Authors: Kaygorodov Ivan , Khrypchenko Mykola
Published: February 2024

We describe transposed Poisson structures on the upper triangular matrix Lie algebra

T_{n}(F)

,

n>1

, over a field

F

of characteristic zero. We prove that, for

n>2

, any such structure is either of Poisson type or the orthogonal sum of a fixed non-Poisson structure with a structure of Poisson type, and for

n=2

, there is one more class of transposed Poisson structures on

T_{n}(F)

. We also show that, up to isomorphism, the full matrix Lie algebra

M_{n}(F)

admits only one non-trivial transposed Poisson structure, and it is of Poisson type.
Prelacrimal window approach to the maxillary sinus: a systematic review and meta-analysis of the literature
Authors: Machado A , Pereira J , Alvarez F , Briner H R , Simmen D
Published: February 2024

BACKGROUND: The prelacrimal window approach (PLWA) is a minimally invasive surgical technique that has been proposed as an alternative to the traditional approaches to access the maxillary sinus. METHODOLOGY: A systematic review with meta-analysis was performed following PRISMA guidelines and identified 368 articles for initial review of which 14 (610 participants) met the criteria for meta-analysis. Four databases, including PubMed, Google Scholar, Web of Science and Scopus, were searched to identify relevant articles. Two independent reviewers conducted the eligibility as- sessment for the included studies. Methodology quality and risk of bias were evaluated by New Castle Ottawa scale. The outco- mes assessed were recurrence of the pathology, postoperative morbidity including epiphora, dry nose, facial, gingival numbness, epistaxis or local infection. RESULTS: The present data suggest a significant reduction in the recurrence rate of maxillary sinus pathology following PLWA when compared to conventional surgery (endoscopic medial maxillectomy, endoscopic sinus surgery and the Caldwell–Luc operation). The rates of epiphora, facial or gingival numbness, epistaxis or infection requiring intervention, were not significantly different between the procedures. CONCLUSIONS: Maxillary sinus pathology can be effectively treated using the PLWA technique, as it has been shown to result in a lower recurrence rate compared to conventional surgeries.
Optimizing tomato (Solanum lycopersicum L.) growth, yield and soil quality with inorganic n and farmyard manure in Sudan Savanna of Nigeria
Authors: A.S. Isah  , A.A. Yakubu  , M.M. Maiyaki  , A.Y. Mahmud
Published: February 2024

Field study was carried out in 2019/2020 and 2020/2021 dry seasons at the Nigeria Institute of Horticultural Research Sub-station Bagauda, Kano State, of Nigeria to evaluate the impact of integrated nutrient management (INM) on tomato growth, yield and soil properties under irrigated conditions. Treatments consisted of combination of Nitrogen (N) urea + Farmyard manure (FYM) as follows: T1 = Control, T2 = 50% N (60 kg N ha-1) T3 = 100% N (120 kg N ha-1), T4 = 5 t ha-1 FYM, T5 = 10 t ha-1 FYM, T6 = 25% N + 7.5 t ha-1 FYM, T7 = 50% N + 5 t ha-1 FYM, T8 = 75% N + 2.5 t ha-1 FYM and T9 = 100%N +10 t ha FYM. A basal application of 60 kg P2O5 and 60 kg K2O at land preparation in all plots and nitrogen was applied in two splits at 2 and 6 weeks after transplant (WAT) while FYM was applied two weeks before transplanting (on air dry matter basis). The experiment was laid out in a randomized complete block design and replicated four (4) times with the experimental plots (basins) measuring 3 × 3 m. Data were collected on some growth and yield parameters, and soil quality attributes after the experiment on each treatment plot. The result revealed that the application of 50% N + 5 t ha-1 of FYM significantly (p<0.05) improved soil organic carbon, total soil N and narrowed the C:N ratio. Crop growth response was significantly influenced by application of 10 t ha-1 FYM + 100% N when compared to control. However, yield and yield components of tomato significantly responded to combined application of 50% N + 5 t ha-1 FYM beyond which addition of N or FYM did not produced any significant increase in yield and yield components. It is concluded that combined application of 50% N + 5 t ha-1 FYM was found adequate for tomato productivity and improvement of soil organic status.
Effects of sheep manure, plant population and nitrogen levels on growth and fresh fruit yield of chilli pepper (Capsicum frutescence l.) at Samaru, Zaria, Nigeria
Authors: R.A. Yahaya  , L. Aliyu  , E.C. Odion  , B.A. Babaji
Published: February 2024

Field experiments were conducted between 2004 and 2006 at the Institute for Agricultural Research Farm, Samaru Zaria in the Northern guinea savannah ecological zone of Nigeria, to study the response of chilli pepper (Capsicum frutescence L.) to sheep manure, plant population and nitrogen levels. Treatments evaluated consisted of four levels of sheep manure rates (0 t, 5 t, 10 t, and15 t ha-1), three plant populations (22,222; 44,444; and 66,666 plants ha1) and four rates of Nitrogen (0kg,60kg 120kg and 180 kg N ha1). The treatments were laid out in a split plot design and replicated three times.  Result showed that application of sheep manure produced about significant increase in number of branches by 80%, similarly number of fruits increased by more than 600% and fresh fruit yields (Kg ha-1) recorded 57% increase over the control. Plant population was observed to significantly increase in the number of fruits per plant with 22,222 and 44,444plant/ha recording similar values, but higher number of fruits produced per plant than 66,666 plants ha-1 However, fresh fruit yield of Chilli pepper was not significantly influenced by plant population. The use of 120kgN ha1 resulted in increased number of   branches, fruit per plant and fresh fruit yields by 57 and 60% respectively over non fertilized plants.  Application of sheep manure at 10 t ha1, +44,444plants ha and 120kgN ha could be recommended for the production of chilli pepper under rain fed condition in Northern Guinea savannah.
Performance of broiler chickens fed wheat offal and maize based diets
Authors: K.O. Yusuf  , A.E. Imaji  , O.M. Abioye  , H.O. Sanusi  , T. Abadunmi
Published: February 2024

Food crisis in the developing countries especially Nigeria is affecting both man and domesticated animals. The use of grain such as maize in feed production for poultry is creating more shortage of maize for man with the growing population and high demand in the country. There is a need for alternative products for producing poultry feeds from agricultural waste to reduce the competition. This study was conducted to determine the growth response of broiler chickens to feeds produced from wheat offal (agricultural waste product from wheat) and maize. A total of 50 broiler chickens (day-old) were used with 25 birds (5 birds in each replicate) fed with feed made from wheat offal and 25 birds fed with feed made from maize and monitored for 12 weeks. The body weight of the broilers was recorded weekly for 12 weeks, and the feed conversion ratio was also determined. The mean weights of the broilers fed with wheat offal for day-old, weeks 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12 were  76.6, 115.6, 144.0, 186.0, 305.6, 462.6, 562.0, 693.6, 758.8, 814.4, 866.4, 956.8 and 1,032.8 g/broiler while the corresponding weights for broilers fed with maize feed were 99.6, 129.6, 151.2, 188.8, 234.8, 300.0, 386.8, 466.8, 550.8, 646.8, 732.4, 804.0 and 882.8 g/broiler, respectively. Wheat offal feed increased the body weight of the broilers by 16.99% at 12-week compared to broilers fed with maize feed. Broiler feed should be produced from wheat offal to reduce the competition and make more availability of maize for human consumption.
Editorial
Authors: Nnaji Chidozie Charles
Published: February 2024

No Abstract
Sliding mode control for gasifier reactor temperature control
Authors: Ajah V.O. , Eke E.T. , Okoye K.E. , Ejiogu E.C.
Published: February 2024

This paper presents a sliding mode control (SMC) design for gasifier reactor temperature control. Temperature control is a critical aspect  of biomass gasification for quality syngas production. However, accurate modeling and effective control method are the major challenges  of gasifier reactor temperature control. The gasification system processes are not yet well understood to model from the first  principle due to the complex and nonlinear nature of the process. Also, conventional control methods such as proportional, integral, and  derivative control have not been effective in controlling gasification systems. Hence, this work has used experimental data from a 500 kVA  updraft gasifier reactor to develop a data-driven mathematical model. The system identification result predicts 86.36% goodness of  fit on the model data and 88.26% on the validation data. Discrete time sliding mode control has been designed from the model and  implemented in Simulink to investigate the performance of the control method on the gasifier. The result of the system time response  shows that the controller effectively drives the temperature monotonically from 25°C to 700 °C in finite time (11.37 minutes). It also establishes a quasi-sliding motion with an ultimate band of ±1℃ for the remainder of the simulation time. Hence, the control technique  guarantees optimal temperature control for any feedstock type which will result in higher conversion efficiency, more syngas yield, and  improve syngas quality and durability of the gasifier reactor among others.
The impact of multi-species bacteria as a probiotic on productive performance and egg quality of laying Japanese quail
Authors: Hamada Okasha M. , El-Gendi Gafaar M. , Eid K.M. , Abdelmoez Waleed
Published: February 2024

This study investigated the effect of individual and/ or a mixture multi-species bacteria as a probiotic (Pediococcus acidilactici (T1),  Enterococcus faecium (m74) + Pediococcus acidilactici (T2), and Bacillus licheniformis + B. subtilis (T3)) supplementation at different levels  on productive performance and egg quality characteristics in laying Japanese quail. At 42 d, 350 chicks were chosen with nearly  similar live body weight and divided into ten groups of 35 chicks/group. Chicks were fed the basal diet as a control group (L0) or basal  diet supplemented with three levels L1 (1.25), L2 (1.75), and L3 (2.25) g/kg diet, respectively. The bacteria-supplemented diets (T1 and T2)  had an average feed intake that was the lowest and similar to control group. Better feed conversion was obtained in T1 birds in the first  and third month and in the second month in T2. Age at sexual maturity was gradually decreased by dietary supplementation of T3 and L1.  Probiotics increased egg production (EP) and egg mass (EM). EP, egg weight (EW), and EM increased gradually due to T3 and L2  supplementation. Bacteria-supplemented diets markedly increased absolute albumen and yolk weight as well as absolute and relative  eggshell weight. In conclusion, the mixture of E. faecium (m74) + P. acidilactici and B. licheniformis + B. subtilis improved feed conversion  ratio (FCR), egg production, and egg quality traits of laying Japanese quail.
Quality of sorghum hybrid silages at different storage times
Authors: Maggi G. , Schneider C.R. , Lima A.D. , Rovaris G.B. , Krolow R.H. , Castagnara D.D.
Published: February 2024

The objective of this study was to evaluate the nutritional changes in silages of four sorghum hybrids at different storage times. The  design was a completely randomized in a 4 × 9 arrangement of plots with four replications. The four sorghum hybrids, Qualysilo,  Chopper, Dominator, and Maxisilo, were allocated to the plots. In the subplots, sampling times were considered in fresh material and  after 1, 3, 7, 14, 28, 56, 112, and 224 days of storage. The material was ensiled in experimental polyvinyl chloride silos and subsequently  evaluated for chemical composition and fermentative profile over the nine different periods of the fermentation process. Crude protein  was reduced by 1.21g/kg per day until the third day of fermentation. The levels of neutral detergent insoluble nitrogen and acid  detergent insoluble nitrogen exceeded the upper limit of 311 g/kg of N. Of the studied silages, an NDF content of 734 g/kg was obtained  in Maxisilo, which was higher than the other silages (average: 547 g/kg). Silage production can be achieved with the four materials;  however, the Maxisilo sorghum provides silages of lower quality, with a DM content of less than 30%. The other materials fit into the  nutritional profiles proposed by the literature, characterizing them as good quality silages.
Genetic and phenotypic trends for female fertility traits derived from service records of South African Holstein cattle
Authors: Kgari R.D. , Muller C.J.C. , Dzama K. , Makgahlela M.L.
Published: February 2024

The objective of this study was to estimate breeding values (EBV) and genetic and phenotypic trends for female fertility traits derived  from artificial insemination (AI) records. Data were collected from automated milk recording systems: 64464 records from 18 South  African (SA) Holstein herds. Breeding values were estimated for heifer traits, i.e., age at first service (AFS), age at first calving (AFC),  number of services per conception (SPCh); and for cow traits, i.e., calving to first service (CFS), number of days open (DO), number of  services per conception (SPC), first service within 80 days post-partum (FS80d), and whether cows were confirmed pregnant within 100  days post-partum (PD100d) or within 200 days post-partum (PD200d) using THRGIBBSF90. Trends were estimated for the period 1984 to  2011. There was no clear trend on average breeding values for heifer traits. However, phenotypic trends for heifer traits showed a  desirable downward trend, with a decrease of 0.14 and 0.13 months/year for AFS and AFC, respectively. Phenotypic trends for cow fertility  traits appeared to increase at the rate 0.16 and 0.83 days/year for CFS and DO, respectively, with animals requiring 0.02 more  services per year for SPC. The average EBV for binary traits FS80d, PD100d, and PD200d, showed no distinct trend. In general, there was  no clear genetic and phenotypic trend for all traits defined. The trends that appeared to follow trait improvement could have been  coincidental. Thus, efforts have to be made towards the improvement of heifer and cow fertility traits explored in this study
Marine pollution management in response to plastic waste under international law and national law – challenges and implications for developing countries: a case study of Vietnam
Authors: Yen Nguyen Thi Hong , Dung Nguyen Phuong
Published: February 2024

One of the most widespread environmental problems confronting the global community is marine pollution, particularly the adverse impact of plastic debris. This issue not only has detrimental effects on ecosystems, environmental quality, human health, and habitats of people and species worldwide, but also represents a formidable barrier to the protection of the marine environment and the pursuit of sustainable ocean development. Vietnam, as a Southeast Asian country with a long coastline, faces the issue of significant plastic debris in its waters. Despite significant efforts being made by the Vietnamese Government in developing a legislative framework as a comprehensive approach to ‘white pollution’ in accordance with international environmental standards and its international and regional undertakings on environmentalism, challenges persist in the establishment of effective management of marine environmental pollution. As a developing country grappling with certain challenges in resource allocation for socio-economic development, Vietnam, like other developing countries in the region, face substantial difficulties and hurdles in managing marine plastic pollution. This article first presents the current situation in respect of plastic pollution, with a focus on marine plastic pollution stemming from land-based plastic waste, in Vietnam. The article then concentrates on the regulatory response at both international and national levels to determine whether the international and national instruments comprehensively address the plastic waste issue. The article also explores and critiques the weaknesses and difficulties in effectively managing and controlling the current harm and threat of plastic pollution. Thereafter, the article proposes some recommendations and solutions for the Vietnamese Government to move toward more effective plastic pollution management.
STRATEGI SCAFFOLDING DALAM KEMAMPUAN PEMECAHAN MASALAH SISWA SMP: A QUASI-EXPERIMENTAL STUDY
Authors: Srimuliati Srimuliati , Ulya Khairatul , Faisal Faisal , Anggraini Ria , Natasya Arsyifa Dian
Published: February 2024

Menjadi problem solver adalah tujuan dari proses pembelajaran. Kemampuan ini dapat tercapai jika dilatihkan secara terus-menerus kepada siswa dengan menjadikan siswa menguasai berbagai kemampuan matematika. Salah satunya menguasai kemampuan pemecahan masalah matematis. Penelitian ini bertujuan untuk mengetahui apakah kemampuan pemecahan masalah matematis siswa yang diajarkan menggunakan strategi scaffolding lebih baik dari kemampuan pemecahan masalah siswa yang diajarkan secara konvensional. Quasi-experimental design digunakan sebagai rancangan dalam penelitian ini. Populasi dalam penelitian ini berjumlah 182 siswa dari SMPN 1 Tamiang Hulu, Aceh, Indonesia. Sedangkan sampel berjumlah 52 orang yang terdiri atas kelas eksperimen yaitu kelas VIII3 dan kelas kontrol, kelas VIII4. Teknik pengumpulan data menggunakan tes. Instumen yang digunakan yaitu soal tes kemampuan pemecahan masalah pada materi sistem persamaan linear dua variable berjumlah 5 soal dan berbentuk uraian. Hasil analisis data menunjukkan bahwa kemampuan pemecahan masalah siswa yang diajarkan dengan menggunakan strategi scaffolding lebih baik dibandingkan dengan kemampuan pemecahan masalah siswa yang diajarkan secara konvensial.AbstractTo be a problem solver is a learning instruction goal. This ability will achieve if students will be trained and learnt continuously to comprehend any mathematical skills. One of them is to have ability in problem solving skills. The aim of this study was to determine whether students’ problem-solving ability learnt by using the scaffolding strategy was better than students’ problem-solving ability learnt by using a conventional model or not. The quasi-experimental design was used as research design in this study. The population was a total 182 students of grade VIII of SMPN 1 Tamiang Hulu, Aceh Tamiang, Aceh, Indonesia. while the sample was 52 students which consist of two groups, namely class VIII3   as an experiment group and class VIII4 as a control group. The data was collected by using technique test. There were 5 questions about system of two linear equation was tested to measure the problem-solving ability of students. The results showed that students’ problem-solving ability learnt by using the scaffolding strategy is better than students’ problem-solving ability learnt by using a conventional model.
Infinite families of congruences modulo $2$ for $(\ell, k)$-regular partitions
Authors: Kathiravan T , Sangale Usha , Majumdar Dipramit
Published: February 2024

Let $b_{\ell, k}(n)$ denote the number of $(\ell, k)$-regular partition of $n$. Recently, some congruences modulo $2$ for $ (3, 8), (4, 7)$-regular partition and modulo $8$, modulo $9$ and modulo $12$ for $(4, 9)$-regular partition has been studied. In this paper, we use theta function identities and Newman results to prove some infinite families of congruences modulo $2$ for $(2, 7)$, $(5, 8)$, $(4, 11)$-regular partition and modulo $4$ for $(4, 5)$-regular partition.