bluuebunny/crossref_metadata_2025 huggingface dataset:
Marrakech à l’épreuve du Covid-19 : Crise, gestion et résilience du secteur touristique
Authors: MOUBCHIR Wahiba , BOUJROUF Said
Published: February 2024

À l’instar des autres villes touristiques du royaume, Marrakech a subi les aléas de l’expansion inéluctable et ascendante de la pandémie du Covid-19. Interroger l’état des lieux de la pandémie et ses éventuelles répercussions n’est guère une tâche facile compte-tenu de la recrudescence de la situation sanitaire, laissant place à des conflits aussi bien sociaux qu’économiques. Cette étude est intégralement fondée sur une enquête menée auprès des professionnels du tourisme à Marrakech et part des constats retenus pour mettre l’accent sur les possibilités de remédiation à la crise en soulignant l’aspect résilient qui a caractérisé sa dynamique de gestion. L’étude interroge les discontinuités induites ainsi que les complexités auxquelles les acteurs du secteur se sont heurtés. L’esquisse de cette conjoncture interpelle des investissements futurs en pratiques diverses ouvertes sur les acteurs concernés par la crise et capables de mener des réflexions aussi bien techniques qu’organisationnelles.
L’apport de l’écotourisme au développement des territoires : Une analyse par le récit de voyage
Authors: LAAJINI Tariq , LEMGADAR Ahmed , JEKKI Hicham
Published: February 2024

De par ses externalités négatives manifestes et ses limites, le tourisme de masse fait, depuis des années, l’objet d’indignation des activistes environnementaux. Cependant, les activités alternatives au tourisme de masse (écotourisme, tourisme vert, tourisme écologique, etc.) peuvent contribuer à la préservation de l’écosystème (Laajini  Gmira, 2020). Dans ce travail, nous cherchons à étudier la contribution de l’écotourisme à la préservation et à la valorisation des ressources territoriales. Pour cela, nous analysons des récits de voyage et des entretiens avec plusieurs acteurs locaux et nous montrons que l’écotourisme favorise la patrimonialisation des ressources et contribue au développement des territoires.
Chondroblastic osteosarcoma of the maxilla
Authors: Gimenez Lara Cristina Oliver , Sedassari Bruno Tavares , Nagano Cibele Pidorodeski , Rocha André Caroli , Sousa Suzana Cantanhede Orsini Machado de , Pinto-Júnior Décio dos Santos
Published: February 2024

Osteosarcoma is a rare mesenchymal neoplasm characterized by osteoid production. Its neoplastic cells can synthesize variable kinds of matrix which determines the sub types as the chondroblastic variant and its cartilaginous matrix. We report a case of a 30-year- old man who presented a painful swelling in the right posterior maxilla, associated to teeth mobility. Radiographic exam showed bone rarefaction with poorly defined margins and root resorption in the corresponding area. An incisional biopsy was performed and histopathologic examination revealed proliferation of mesenchymal spindle-shaped cells in a stroma with irregular, immature and basophilic cartilaginous tissue without osteoid tissue. The cell were diffusely positive for S100 protein. A provisional diagnosis of chondrosarcoma was rendered until the excisional biopsy revealed the presence of osteoid tissue possibiliting a final diagnosis of chondroblastic osteosarcoma. Differentiating between chondrosarcoma and chondroblastic osteosarcoma in incisional biopsies may be a hard task when material is scarce, often incurring in the need for further biopsy. Correct diagnosis is essential for the correct treatment.
Critical appraisal of determinant factors of an extensive oral squamous cell carcinoma - Report of case
Authors: Daroit Natália Batista , Candreva Monique Santanna , Freire Nathália de Almeida , Antero Sarah Aparecida Ferreira , Rados Pantelis Varvaki , Israel Mônica Simoes
Published: February 2024

Introduction: Oral squamous cell carcinoma (OSCC) is the most frequently occurring oral malignant neoplasm. Early diagnosis is essential for determining the treatment and prognosis of OSCC. Objective: The aim of this study was to report a case of an extensive OSCC, to discuss factors involved in the diagnosis of advanced lesions and to clarify diffi- culties experienced in referring patients with OSCC for treatment to a healthcare system. Methods: The study included male patients aged 50 years who were chronic alcoholic and tobacco smokers, who had severe trismus, and who presented with ulceroprolifera- tive growth with indurated raised margins, involving the left palate and lower gingiva, extending into the buccal mucosa, and overlying the skin. Results: An incisional biopsy confirmed the diagnosis of OSCC, and the patient was referred for treatment. Conclusions: The factors that delay the diagnosis of OSCCs are misinformation, self-care negligence, socioeconomic aspects, inappropriate oral mucosa examinations, unknown oral diseases, and failure to obtain a conclusive diagnosis and forwarding the patient to the treatment.
Case report
Authors: Nascimento Suellen Vieira do , Macedo Adriana Furtado de , Souza Cynthia Larissa Cordeiro de , Pestana José Osmar Medina , Kalinin Yuri
Published: February 2024

The continuous immunosuppression of patients undergoing solid organ transplantation leaves them susceptible to the development of a wide variety of neoplasias, increasing their risk in relation to the general population. The present article presents a case report of squamous cell carcinoma in the tongue of a 57 year-old man fifteen years after a live donor kidney transplant. In use of several medications, he presented several comorbidities in the post-transplant period. One of these, Kaposi’s sarcoma, is quite common in organ transplanted individuals associated with HHV-8. In this specific case, the neoplasia had the oral cavity as the primary site and the Oral Medicine team had an important role in the diagnosis of the lesion and treatment of its comorbidities, and this care was the motivation of this article.
Varied radiographic appearences of complex odontoma - Case series and clinical-radiographic review
Authors: Gargi Vidisha , SM Ravi Prakash , K Nagaraju
Published: February 2024

Odontome is most common benign odontogenic tumour. Radiographically and histologiclly it is characterized by production of mature enamel, dentin, cementum and pulp tissue. The structural relationship vary from nondescript mass of dental tissue referred to as complex odontome and multiple well-formed teeth (denticles) known as compound odontome. Odontomes are often found during routine radiographic investigations and are the most common cause of delayed eruption of the permanent teeth and sometimes it may itself erupt in the oral cavity. We are presenting a case series of complex odontomes with varied clinical features and radiographic appearances which may be helpful for the clinician to achieve accurate diagnosis in order to avoid subsequent complications.
The NSF Pre-Proposal Process: Pt 1. Judging Preproposals
Authors: Ethan Morgan &
Published: February 2024

Before we start, this post refers to posts already written on this topic. To make sure no one gets lost, please follow the sequence of operations below:  Step 1:  Do you know about the new pre-proposal process at NSF?
La rentrée des formations Zotero en France
Authors: Flamerie Frédérique
Published: February 2024

Auteur : John Bullas – CC-BY-NC-ND – Source : Flickr Parmi vos bonnes résolutions pour la rentrée, vous avez décidé de mieux organiser et gérer votre bibliographie, en adoptant Zotero ou en approfondissant son utilisation?
Style Tracés et fichier CSL (au courrier des lecteurs)
Authors: Dacos Marin
Published: February 2024

Bonjour, Je suis le “créateur” du style Tracés.
Nouvelle équipe, nouveau Zotero
Authors: Chachereau Nicolas
Published: February 2024

Le billet précédent aura porté ses fruits : une nouvelle petite équipe tente l’aventure et fera vivre ce blog dans les mois à venir.
Appel à rédactrice(s) / rédacteur(s)
Authors: Clavert Frédéric
Published: February 2024

Il n’y a rien eu de publié sur ce blog depuis novembre dernier. Rien, non plus, entre juin et novembre 2014. Deux billets en un an… Est-ce un essoufflement lié à la maturité du logiciel, zotero, bien plus stable et complet qu’il ne le fut un temps? Peut-être. Mais essoufflement, aussi, des rédacteurs de ce blog – à commencer par l’auteur de ces quelques lignes. Bien qu’ayant l’impression d’avoir tout dit, il reste encore des pistes à explorer.
Au courrier des lecteurs : style francophone dérivé du style Chicago (Université de Montréal)
Authors: Dacos Marin
Published: February 2024

Un message d’Emmanuel Dubois, Montréal, reproduit ici avec son autorisation.  Bonjour,   Je tiens à vous féliciter pour votre blog en français sur Zotero. 
Konstantin von Notz zum Urheberrecht: „Es geschieht nichts“
Authors: Wragge Alexander
Published: February 2024

Während sich die offenen Rechtsfragen häufen, blockiert sich die Bundesregierung in der Netzpolitik selbst, meint Konstantin von Notz. Im Interview erklärt der netzpolitische Sprecher der Grünen, warum seine Partei in der Urheberrechtsdebatte nicht zerstritten und mutiger als die Piraten ist.  Zur Person   Konstantin von Notz ist netzpolitischer Sprecher der Bundestagsfraktion von Bündnis 90/Die Grünen. 
Formation complète à Zotero (pour formateurs)
Authors: Dacos Marin
Published: February 2024

Perrine Helly partage son support de formation à Zotero. Zotero : formation de formateurs View more presentations from Perrine Helly.
TECH TALK : SOFTWARE DEVELOPMENT TRAINING AND FRAMEWORK UTILIZATION FOR WEBSITE DEVELOPMENT
Authors: Maulana Mirza , Abyan Shidqi Muhammad , Alifsyah Ramadhan Rafi Novranza , Arista Putri Syahda , Fadhlurokhman Rafi , Haykal Andana Muhammad , Cholis Arethusa Muhammad , Khoirrosyid Haida , Guritno Deden , Mujiastuti Rully , Rosanti Nurvelly , Nurbaya Ambo Sitti
Published: February 2024

Program Magang dan Studi Independen Bersertifikat (MSIB) merupakan inisiatif dari Kementrian Pendidikan, Kebudayaan, Riset, dan Teknologi (Kemdikbudristek) untuk memberikan kesempatan kepada mahasiswa mengembangkan keterampilan di luar perkuliahan, dengan fokus pada pengembangan perangkat lunak. Kegiatan ini bertujuan memberikan pemahaman dan keterampilan dasar dalam pengembangan perangkat lunak kepada mahasiswa dan masyarakat umum. Metode pelaksanaan kegiatan terdiri dari pemaparan materi dasar, eksplorasi framework terkini, dan workshop pembuatan website sederhana. Dilakukan evaluasi kepuasan peserta melalui kuisioner yang menunjukkan respon positif terhadap pemateri dan materi yang disampaikan. Hasil dan pembahasan menunjukkan bahwa kegiatan berlangsung lancar dan sukses, dengan partisipasi 50 peserta dari berbagai instansi. Feedback dari peserta menunjukkan kepuasan dan pemahaman yang baik terhadap materi.
Somos del Mar: Desarrollo y Comunidad en El Manglito
Authors: Méndez Méndez Nahomi , Musuy Méndez García Andrea , Méndez Carreaga Luís Ángel
Published: February 2024

This coffee table book is the result of the Corioli Institute’s work in the fishing community of El Manglito, Baja California Sur, Mexico that is affected by cartel violence and environmental pollution. Engaging with children and youth, we chose a publication format that tells the story and everyday life of the community in their own words. Our team led a series of data collection workshops, brought in consultants, and funded the book’s production for the community. The project’s novel participatory, receptive, collaborative approach to trust building and social cohesion within El Manglito resulted in a strong sense of identity, efficacy, and pride among the youth of the community.
“Sound Off! Staring Down Stereotypes”
Authors: Lesser Lawrence M. , Ridenour Introduction by: Tabatha
Published: February 2024

From the Archives highlights articles from NCTM’s legacy journals, previously discussed by the MTLT Journal Club.
Pengaruh Brand Authenticity Dan Store Atmosphere Terhadap Revisit Intention Pada Singgah Coffee And Eatery Padang
Authors: Zandy Armeto  , Rian Surenda
Published: February 2024

The findings of phenomena related to brand authenticity, store atmosphere, and revisit intention at Singgah Coffee and Eatery Padang are the driving force behind this research. The purpose of this study is to examine how revisit intention at Singgah Coffee and Eatery Padang is influenced by brand authenticity and store atmosphere. This type of research uses a survey method with a causal associative quantitative approach to examine cause and effect. The population is Singgah Coffee and Eatery Padang customers. A total of 97 respondents were sampled in this study, using non-probability sampling techniques through purposive sampling method. The Likert scale was used to assess the validity and reliability of the questionnaire used as a data collection tool. SPSS 26.00 was used to process the research data. This study shows the results of brand authenticity and store atmosphere have a significant effect on revisit intention at Singgah Coffee and Eatery Padang.
Role of Indonesia’s G20 Presidency and Exchange Rate on LQ45 stock price: Dynamic Panel Model Approach
Authors: Rahayu Caecilia Wahyu Estining , Rahmawati Christina Heti Tri , Wuri Josephine , Hardanti Yuliana Rini , Harnoto Laurentius Bambang
Published: February 2024

This study investigates the role of Indonesia’s G20 presidency and exchange rates on the stock prices of LQ45. Daily data were collected from companies listed on Indonesia’s stock exchanges between November 15 and December 24, 2022. Furthermore, we employed a dynamic panel model approach, specifically the system generalized method of moments regression. This analytical technique controls for unobserved heterogeneity, simultaneity, and dynamic endogeneity. The results illustrate that Indonesia’s G20 presidency positively impacts the stock prices in LQ45. In addition, Exchange rate negatively influences on the LQ45 stock prices, and the stock prices of LQ45 in the previous year often correspond to that in the current year. This study’s results provide recommendations for potential investors who wish to invest in the subsectors of LQ45 member companies. The policies implemented during Indonesia's G20 presidency can increase stock prices and create positive market sentiment to encourage migration flows. Additional studies are required to determine the impact of implementing the G20 priority agenda, which includes enhancing the global health framework, fostering employment prospects, transitioning to green and renewable energy, and advancing the digital economy to increase stock prices.
AI for Sustainability: Leveraging Technology to Address Global Environmental
Authors: Akter Most. Sohana
Published: February 2024

As humanity grapples with the pressing challenges of climate change, biodiversity loss, and environmental degradation, there is a growing recognition of the pivotal role that artificial intelligence (AI) can play in addressing these issues. This article explores the intersection of AI and sustainability, highlighting how technological advancements are being leveraged to mitigate environmental impacts and promote a more sustainable future. From optimizing energy consumption and resource management to enhancing conservation efforts and predicting environmental risks, AI offers innovative solutions across various sectors. This paper examines key applications of AI for sustainability, discusses current trends and challenges, and outlines future directions for research and implementation.
From Burden to Advantage: Leveraging AI/ML for Regulatory Reporting in US Banking
Authors: Prakash Sanjeev , Venkatasubbu Selvakumar , Konidena Bhargav Kumar
Published: February 2024

Machine Learning (ML) revolutionizes prediction processes, making them more cost-effective and precise. As the volume and diversity of financial data continue to grow, ML becomes increasingly valuable. One significant implication for regulators is the banking sector's growing reliance on ML methods for decision-making, which inherently lack full understanding by their creators. Consequently, regulators across all levels will increasingly encounter ML models that are challenging to fully grasp.Regulatory scrutiny is affected as supervisors must assess model risk. ML models incorporate numerous and intricate features, requiring examiners to comprehend their implications for transparency and associated operational risks. Moreover, utilizing historical data to train models may raise concerns related to fair lending practices. Already, some banks and FinTech firms employ ML across various banking services, including fraud detection, risk management, and pricing.Policy formulation may also feel the impact through two main channels: operational risk and market behavior. ML directly influences model risk, a subset of operational risk. Banks, bound by model risk management regulatory guidance established in April 2011, may find certain aspects of this guidance challenging to apply to ML tools due to their opaque nature. Furthermore, ML could potentially alter market behavior for certain liquid assets.
Quality Characteristics of Butter Sponge Cakes Added with Whey Protein Concentrate (WPC)
Authors: Choi DaEun , Kim KyungHee , Jeon EunRaye
Published: February 2024

This study investigated the quality characteristics of butter sponge cakes added with whey protein concentrate (WPC)(0%, 10%, 30%, 50%, 100%) added as a fat substitute. The density of the dough of butter sponge cakes significantly increased with higher levels of added WPC and the pH decreased (F =248.38, p <.001). The moisture content also decreased significantly (F =3.151, p < .05). However, the volume (F =9.556, p <.01) and specific volume (F =11.15, p <.001) significantly increased. With respect to color, there was no significant difference in the lightness (L) value of the crumb, but the redness (a) value increased significantly with higher levels of added WPC (F =12.616, p < .001), while the yellowness (b) value decreased significantly (F =4.550, p <.01). Regarding the crust, the L values (F =3.791, p <.01) and b values (F =7.000, p <.001) decreased significantly with higher levels of added WPC, while the (a) values increased significantly (F =4.706, p <.01). The DPPH radical scavenging ability of the raw WPC used in the manufacture of butter sponge cakes was found to be 27.45%, but this increased significantly as the amount of WPC added to butter sponge cakes increased (F =45.237, p <.001). In a consumer preference test, the flavor, appearance, texture, odor, and overall acceptability were highest in the case of WPC-10 when taking advantage of the functional advantages of WPC as a lowfat substitute, confirming the development potential and optimal amount of WPC that should be added to butter sponge cakes.
Maternal Early Parent Attachment and Social Interest: The Effect of Attachment Anxiety and Attachment Avoidance
Authors: Min Ha Yeoung
Published: February 2024

This study explored the relationship between maternal early parental attachment (EPA) and social interest. The participants were 311 mothers with elementary schoolchildren who lived in the Daegu-Gyeongbuk area. Data were collected through an online questionnaire provided on the portal site and analyzed using k-means clustering, t-test, One-Way ANOVA, and Pearson’s correlation using IBM SPSS Statistics 21 for Windows and, RMSEA, TLI, NFI and CFI using IBM SPSS AMOS 18 for Windows. The principal results were as follows. Firstly, mothers’ EPA anxiety and avoidance had a negative influence on social interest. Secondly, social interest was found to be significantly higher among mothers with a secure attachment style than among mothers with an insecure attachment style. Thirdly, significant differences were observed in levels of social interest among mothers with secure, preoccupied, dismissive, and disorientated attachment styles. A Scheffé post-hoc test revealed that social interest was significantly higher among mothers with a secure attachment style than among mothers with a disorientated attachment style. The experience of relationships with caregivers early in life is therefore important in the development of social interest.
A Case Study on the Promotion of Instructional Design Competencies Among Preservice Home Economics Teachers in Class Using the Metaverse
Authors: Choi Seong Youn
Published: February 2024

This paper presents a case study in which a lesson was designed and applied to enhance preservice home economics teachers' instructional design competence using the metaverse. For 15 weeks from March 6 to June 14, 14 students enrolled on the course 'Multimedia Home Economics Education' for preservice home economics teachers used the metaverse to engage in problem-based learning to solve instructional design problems in home economics classes. In accordance with the ADDIE design model, in the analysis stage, we assessed preservice home economics teachers’ level of knowledge of lessons using the metaverse, and their perceptions of the possibility, necessity, and usefulness of using the metaverse in home economics lessons. In the design and development stage, lesson plans, questions for problem-based learning, assessment tools, and teaching and learning materials were developed. The implementation was conducted in parallel with training on understanding multimedia and the metaverse, and instructional design competence was evaluated through pre- and post-testing and reflection journals. The results revealed that the preservice home economics teachers acquired a good understanding of lessons using the metaverse, learned how to design lessons for self-directed learning by applying the metaverse to their home and classroom, and gained confidence in applying it to their teaching practice or in-service work. It is expected that the results of this study will be used as support materials for prospective and current home economics teachers to design home economics lessons using the metaverse, thereby expanding the horizons of home economics education.
Impacto de los esquemas de simplificación en pacientes con diabetes mellitus tipo 2 e inadecuado control metabólico: estudio pragmático emparejado
Authors: Carrera Viñoles Fernando , Rosendo Javier , Santiago Daniel , Vilera Natacha , Réquiz Andreína , Camperos Paul
Published: February 2024

Introducción: Al menos el 45 % de los pacientes con diabetes tipo 2 no logran controlar la glucemia, lo que genera tasas de morbilidad y mortalidad innecesariamente altas. Uno de los principales contribuyentes a un control glucémico adecuado es la adherencia a la medicación. Nos preguntamos si los FMD en combinación con insulinas basales, pueden ser una alternativa para realizar un “intensificación simple” en pacientes con diabetes tipo 2 y pobre control metabólico, apostando a la mayor adherencia del tratamiento y reduciendo la carga relacionada a la enfermedad, sin mostrar un impacto deletéreo sobre el control glucémico. Objetivos: comparar la efectividad de esquemas simples de intensificación vs la intensificación clásica basada en múltiples inyecciones diarias de insulinas en pacientes con diabetes tipo 2 y pobre control metabólico que acuden a la consulta de endocrinología del Centro Médico Docente La Trinidad entre enero - diciembre de 2022. Materiales y Métodos: estudio pragmático prospectivo no contemporáneo ajustado por emparejamiento a tres brazos de estudio. Resultados y conclusiones: la combinación de Insulinas basales con iSGLT2 es la alternativa terapéutica con mayor impacto para la reducción de la HbA1c adicionalmente, logra una mayor tasa de adherencia farmacológica y una menor tasas de eventos adversos, la combinación de insulinas basales + ARGLP1 es una alternativa muy similar para la reducción de HbA1c, pero además ofrece una importante reducción de IMC, CoV, TBR, TAR a expensas de un importante aumento del TIR, por lo que sugerimos considerar estos esquemas de tratamiento por encima del esquema basal - bolos.
APPLICATIONS OF NETWORK ANALYSIS FEATURES IN GIS
Authors: Hetamsaria Parth , Matori Abd Nasir
Published: February 2024

More often than not, we may find offices, schools, shopping markets, and other general facilities are not nearby to our homestay for our convenience. So, there is a need for a system that could provide routing analysis to provide transportation convenience to the users to reach their destinations. The objective of this paper is to work upon Network Analysis Features of Geographic Information System (GIS) to explore its various applications such as to find the shortest routes between multiple facilities (considering time as the impedance such as nearest schools, hospitals or any other facilities from the homestay. It will also look into the best possible way to transport goods or people from one place to various other regions through multiple means. The work done was based on anonymous network data, and the discussion presents the significant applications of Network Analysis in the ArcGIS software and its usefulness to assist in the transportation issue.

Keyword: Network analysis, data description, GIS-base software, data application, Network Location Tool
ATTAINING SIMULTANEOUS REDUCTION IN NOX AND SMOKE BY USING WATER-IN-BIODIESEL EMULSION FUELS FOR DIESEL ENGINE
Authors: Abdul Karim Zainal Ambri , Khan Mohammed Yahaya , Abdul Aziz Abdul Rashid , Hagos Ftwi Yohannes
Published: February 2024

This paper presents the study of water-in-biodiesel emulsions (WiBE) stabilized by surfactants with different hydrophiliclipophilic balance (HLB) on a single-cylinder diesel engine. The engine performance and exhaust emissions were compared against the base fuel biodiesel (B5 diesel) which contained 5% palm oil methyl ester (POME) in the diesel fuel, at a constant engine speed of 2000 rpm with different engine loads. 36 emulsion blends of B5 diesel mixed with 9%, 12% and 15% volume of water, HLB values of 6, 7, 8 and 9, and surfactant dosage of 5%, 10% or 15% by percentage volume of water added. The results exhibited 11.7% lower engine power with WiBE as compared to B5 diesel. It was also observed that WiBE produced higher in-cylinder pressure and heat release rate. WiBE with higher water content at high load condition produced up to 15.2% higher peak pressure with a significant reduction in both NOx and smoke opacity, while a moderate decrease in the exhaust temperature was recorded for WiBE. The research work proved that WiBE with 15% water content with optimum HLB value is capable of reducing up to 79% NOx and 23% smoke opacity simultaneously, due to the heat sink effect during combustion.

Keywords: emulsified fuels, surfactant, microexplosion, exhaust emission, palm oil, heat sink effect
CONCEPTUAL DESIGN OF AUTONOMOUS CART FOLLOWER FOR WHEELCHAIR USER
Authors: Zahir A. A. M. , Othman Wan Amir Fuad Wajdi , Alhady S.S.N. , Wahab A. A. A. , Ahmad M. F.
Published: February 2024

This paper focuses on kinematics of the cart follower and the system identification of propulsion system by using brushed DC motor. The cart follower uses Ackermann configuration as the steering system. The modeling of kinematics equation takes into account the instantaneous center of rotation (ICR), velocity of each tire, heading angle, and simple movement of the cart. The cart is propelled by transaxle brushed DC motor. It is important to approximate an accurate transfer function to represent the motor as the plant module is unavailable. The motor is simulated by using Arduino hardware package in MATLAB®. Rotary encoder is used to record the angular velocity of the shaft. MATLAB® code is created in order to calculate the linear velocity and tabulate the datasets. System Identification Toolbox determines the transfer function of the motor and its performance. The variables measured in experiment to identify the transfer function of the DC motor system are output angular velocity and input voltage. The parameters taken from the DC motor’s mathematical model are derived based on existing literatures. The graph of output velocity against time is plotted and the transfer function is estimated by using System Identification Toolbox in MATLAB®. From the results, it is demonstrated that the motor exhibits second order system.

Keywords: Cart follower, wheel mobile robot, kinematics, system identification
ASSESSMENT OF LOCATION SUITABILITY, HEALTH AND SAFETY PRACTICES IN PETROL FILLING STATIONS, ILORIN, NIGERIA
Authors: Olokoba Saheed Oluwakemi , Mokuolu Olubunmi A. , Magaji Yusuf
Published: February 2024

The recent proliferation of petrol filling stations in Ilorin town was assessed with the use of both site analysis report and questionnaire. In order to achieve the aim of this research, 43 petrol filling stations were systematically chosen and physically analyzed. More also, 150 carefully structured questionnaires were used to extract information from respondents who are attendants in these petrol filling stations. The results gotten from both the site analysis and questionnaire were subjected to Department of Petroleum Resources’ standard criteria (Nigeria) and criteria of the Petroleum Enforcement Liaison (or simply the RED GUIDE) from the UK. It was established from this research that only 5% of the petrol filling stations considered is within these standard criteria, with 74% of the considered petrol filling stations having very low location suitability, suggesting that the city is sitting on an inflammable fuel waiting to be rekindled. Furthermore, it can also be established from this research, that most of the fuel attendants are not well acquainted with the proper health and safety measures required to be in such station. It was observed from this research, that the permitting requirements and standard criteria are probably just on paper or the corresponding ministries or agenciesconcerned are not proactive. Thereby, endangering the lives and properties of innocent citizens as well as exposing the environment to contaminations from petroleum products and subsequent climatic degradations.Keywords: environmental impact, petroleum, hazard, red guide, proximity, criteria and dispenser
TORQUE AND DRAG MEASUREMENT: A COMPARISON BETWEEN CONVENTIONAL, SLIM HOLE AND CASING DRILLING METHODS IN A DEVIATED WELL
Authors: Zivar Davood , Dastgerdi Ehsan Jafari , Momeni Mohammadsadegh , Salmanpour Soroush
Published: February 2024

Different locations and field conditions require various drilling methods to produce oil and gas. Three major operational methods are identified to be slim holes, conventional and casing drilling. Despite many affecting parameters, torque and drag are two highlighted factors for the determination of the best drilling method. Torque and drag play a significant role in the feasibility of drilling and its final costs. In this study, the influence of the torque and drag are investigated for the determination of optimum drilling type in consideration of the same S-shape well trajectory for all cases. Consequently, slim hole drilling showed minimum torque and drag value which meant that this method can be a good choice. Furthermore, casing drilling displayed maximum torque and drag in this study resulting in high sensitivity to the high degree of deviation. On the other hand, due to the constant weight of casing while drilling, this method showed a smooth increasing trend in terms of drag force while slim hole and conventional drilling showed significant changes in different parts of well trajectory. The number of build and drop sections significantly affect the amount of torque loss, while up to 50% to 70% of torque loss was observed in the drop or build section.Keywords: torque, drag, directional drilling, slim hole, casing while drilling, well trajectory
A STUDY OF PROCESS ANOMALIES LEADING TO PLANT TRIPS AND THE EFFECTIVENESS OF A SOFTWARE TOOL IN TRIP PREVENTION
Authors: Mohamed Ahmad Rizal , Che Din Nazatul Sheema , Chee Kiong Hu , Othman M Amirrudin
Published: February 2024

In the hydrocarbon process industry, financial losses resulting from plant trips can be significant. In this study, reliability loss events or trips in 2018 at a sizeable hydrocarbon process plant are analysed to determine if they were preventable. Of particular interest is those loss events that exhibited early signs of process anomalies—such as temperature, pressure, and flow—at least twelve hours before the event. Using the concept of ‘reliability incident pyramid’ where plant process anomalies outnumber production slowdown and trip events, a software tool is deployed to help process engineers detect the anomalies. The idea is that troubleshooting these anomalies before they escalate to plant trips would reduce the number of trips and prevent production losses. Post-deployment plant process data for 2019 are analysed to determine if process engineers could pick up on the anomalies indicated by the software and intervene to prevent potential plant trips. Results indicate that in conjunction with vigilance by the process engineers, such software can reduce the number of reliability loss events in a hydrocarbon process plant. Keywords: Process anomalies, reliability incidents, loss events, reliability incident pyramid, CUSUM, EWMA, SPC
ROOT CAUSE ANALYSIS (RCA): ARE FAILURES CAUSED BY INADEQUATE MAINTENANCE?
Authors: Nurul Amin Muhamed Jamil Khan , Yusoff Noor Syaffynas , Pauzi Ahmad Azim , Ping Hun Kok , Suratanin Nor Azizy , Zainal Za’im , M Safian Nurul Aizad , Adenan M Anif , Mohamad Ahmad Aiman , Viswanathan Jayakumar
Published: February 2024

While wrong quality assurance and control during maintenance activity may affect failures of physical assets, it is not always true to associate the “lack” of maintenance or the perception of it to failure of physical assets or degradation of system reliability. This paper intends to methodically assess the contribution of lack of maintenance towards physical asset failures, degradation of system reliability, and whether it matters or not. By achieving the conclusion, operation and maintenance engineers and facility heads should be better positioned to not immediately link failures to lack of maintenance and be cautious during root cause analysis sessions. This will help build a healthier culture, i.e., generative culture. As a result, RCAs will be performed more objectively and aimed to improve, rather than blame. It is found from the assessment that only about a (theoretical) maximum of 30% of failures may be caused by lack of maintenance, requiring the entire organisation to be more careful during RCAs to not jump to a conclusion.

Keywords: root cause analysis, inadequate maintenance, failure, reliability, RCA
MODELLING FRESH PROPERTIES OF SELF-COMPACTING CONCRETE (SCC) INCORPORATING CASSAVA PEEL ASH (CPA)
Authors: Abdulwahab M.T. , Uche O.A.U.
Published: February 2024

Self-Compacting Concrete (SCC) is an innovative concrete that flows under its weight, completely filling formwork even in areas of congested reinforcement without the need for vibration to attain adequate compaction. To achieve the SCC, a lower content of aggregates and high content of Portland Cement (PC) are required, which in turn consumes a lot of energy and emits greenhouse gases like carbon dioxide (CO2) and Methane (CH4) to the atmosphere during the PC production. In this study, Cassava Peel Ash (CPA) was used as supplementary cementitious material to partially replace the PC by 5%, 10%, 15%, 20%, and 25%. Response Surface Methodology (RSM) was used to develop a predicting model for the compressive strength of CPA and SCC. This study investigates modeling the workability properties of SCC made with the CPA. The result findings showed that both slump flow and passing ability are affected with the addition of CPA when more than 15% of the cement content is replaced with CPA while the segregation resistance improves as the content of CPA increases. The utilization of CPA in SCC is optimized at 5% replacement of cement with CPA and 28 days of curing age to achieve a compressive strength of grade 35. The developed RSM model showed a high degree of relationship between the variables, responses and can be used to predict the compressive strength of the CPA and SCC accurately.Keywords: Super-plasticizer, workability, slump flow, blocking ratio, segregation resistance, compressive strength
PERFORMANCE EVALUATION OF ALPHA-OLEFIN SULFONATE (AOS), COCO GLUCOSIDE AND DECANE IN CREATING WINSOR TYPE-III MICROEMULSION
Authors: Kong Zheng Chen Randy , Chee Wee Sia
Published: February 2024

Enhanced oil recovery (EOR) shows great potential in maximizing the recovery of bypassed oil remains unrecovered in the reservoir after applying conventional oil recovery methods. Surfactant injection is a chemical enhanced oil recovery method that can improve the overall displacement efficiency and increase hydrocarbon production. The application of surfactant flooding is challenging due to the complexity of the design. On top of that, most of the utilized surfactants are not environmentally friendly. The formulation of the microemulsion system directly impacts the success of a surfactant injection process. Good understanding on the phase behaviours of the microemulsion system is essential to create Winsor Type-III microemulsion that has the ability to reach ultralow Interfacial Tension (IFT) with the addition of co-surfactant. The performance of the microemulsion also highly depends on factors such as salinity, surfactant type, surfactant concentration, and temperature. Extensive laboratory investigation along with phase behaviour studies are vital in formulating an efficient green microemulsion system for tertiary recovery processes. This project evaluates and presents the performance of anionic surfactant, Alpha-Olefin Sulfonate (AOS), Coco Glucoside, and decane in creating Winsor Type-III microemulsion. The performance of the formulated microemulsions under various salinities, surfactant concentrations, co-surfactant concentrations and temperature are investigated through stages of phase behavior studies to optimize the parameters. The optimized formulation of AOS-Coco Glucoside microemulsion consists of 3 wt% salinity, 1 wt% AOS, and 1 wt% Coco Glucoside as the widest range and maximum volume of Winsor Type-III was observed at this condition. IFT of the microemulsion system was measured at 25°C and 70°C using a spinning drop tensiometer. It is concluded that the formulated microemulsion system with the optimized parameters reaches low IFT instead of ultralow. The temperature has no significant effect on the IFT performance of the formulated microemulsion system, and the critical micelle concentration is determined to be at 0.05 wt% of the aqueous phase.Keywords: Surfactant flooding, microemulsion system, ultralow interfacial tension, environmental friendly surfactants
APPLICATION AND COMPARISON OF ENSEMBLE MODELS TO PREDICT CORROSION RATE FOR AMINE REGENERATION UNIT IN REFINERY
Authors: Raja Moorthi Sathiyamurthi A/l , Aziz Izzatdin A.
Published: February 2024

Monitoring the corrosion activity of Amine Regeneration Units (ARU) in oil and gas refneries is crucial to avoid unexpected failures and unplanned shutdowns. Various corrosion monitoring devices are installed to provide real time metal loss readings translated into corrosion rates. However, existing corrosion monitoring devices do not ofer prediction capabilities, and a huge amount of supervised historical data is usually ignored due to its complex characteristics and incompleteness. By utilising ensemble models, machine learning can be adopted to generate value from the unattended historical data and provide prediction capabilities. This research work is mainly intended to process the historical data in Amine Regeneration Unit (ARU), implement Extreme Gradient Boosting (XGBoost) and Light Gradient Boosting (LightGBM) ensemble models for corrosion rate prediction, and compare the two to identify the most accurate model. An experiment was conducted via simulation through programming software that utilises Python as the programming language to process data from an undisclosed oil and gas refnery in Malaysia. Evaluation of accuracy was performed using statistical methods, which include R-squared (R2 ), Mean Average Error (MAE), Mean Squared Error (MSE), and Root-Mean-Square Error (RMSE). Upon model hyperparameter tuning and comparison between eight diferent models, the model utilising the XGBoost algorithm with K-Fold cross-validation was reported to provide the best accuracy in terms of R2 score at 65.4%. Future improvement for this research work includes exploration of various other corrosion groups in ARU among multiple oil and gas refneries and experimentation on various boosting tree hyperparameter tuning.

Keywords: Amine, corrosion rate, LightGBM, oil and gas, predictive analytics, refinery, XGBoost
Propuesta de estrategias estructurales para mitigar inundaciones en la microcuenca Santa Rosa Jáuregui, Querétaro
Authors: Oreano Hernández Dulce Sonia , Hernández Guerrero Juan Alfredo
Published: February 2024

In the metropolitan area of Queretaro (ZMQ) recurrent and dangerous floods are formed, to mitigate them, focused hydraulic infrastructure works have been built that do not always take into account the water dynamics of the territory. Therefore, in the present work, structural strategies were designed in the Santa Rosa Jauregui micro-watershed to contribute to flood mitigation in the urban periphery of the ZMQ. The methods include a multi-criteria analysis with geographic information systems to determine priority sites and then structural strategies were designed with the water dynamics of the micro-watershed. The results present four priority sites distributed between the middle functional zone and the low functional zone of the micro-watershed, and four structural strategies were designed to mitigate floods. This concludes with a work that will allow the population and authorities to have information and options for decision making in flood mitigation.
Meslek Yüksekokulu Öğrencilerinin Organ, Kadavra Ve Plazma Bağışı Hakkında Bilgi Ve Tutumları
Authors: KESMEZACAR Fahrettin Fatih , IŞIK DEMİRARSLAN Elif , KESMEZACAR Özgü
Published: February 2024

Amaç: Bu çalışma, meslek yüksekokulu öğrencilerinin, organ, kadavra ve plazma bağışı hakkındaki bilgi ve tutumlarını araştırmak amacıyla yapılmıştır. Gereç ve Yöntem: İki farklı üniversitenin sağlık ve sosyal hizmetler meslek yüksekokulunda okuyan 633 öğrencisine sosyodemografik özellikler, organ bağışı ve plazma bağışı ile ilgili sorulardan oluşan anket uygulanmıştır. Veriler uzaktan online yöntemle toplanmıştır. Verilerin Analizi EpiInfo v.7.2.5.0 programında yapılmış olup, frekans dağılımları ve ki-kare testi analizlerde kullanılmıştır. Bulgular: Katılımcıların %41,5’i sağlık, %58,5’i sosyal programlarda öğrenim görmektedir. Öğrencilerin%3,2’si organlarını bağışlarken %80,1’inin kadavradan organ bağışı hakkında bilgisi olduğu ve %68,8’i bu bilgiyi medya ve internetten duyduklarını, %81’inin organ bağışının hem canlıdan hem de ölüden olabileceğini bildiği, %68,7’ sinin öldükten sonra organlarını bağışlamayı düşündüklerini, %36,4’ünün organ bağışı konusunda yeterli bilgisinin olmadığı için bağış düşünmediği, %84,5’unun gerekli durumda organ nakli kabul edeceğini belirtmişlerdir. Katılımcıların %48,8’ inin kadavra bağışı bilgisi olduğu, %60,2’sinin bu bilgiyi medya/internetten öğrendiği, %66’sının kendisini kadavra olarak bağışlamayı düşünmediği belirlenmiştir. Katılımcıların %66’sı plazma bağışını bildiği, %61,5’inin bu bilgiyi medya/internetten öğrendiği, %63,8’inin plazma bağışlamayı düşündüğü, %70,8’inin bir insanın hayatını kurtarmak için plazma bağışlayabileceği belirlenmiştir. Ayrıca COVID-19 geçirmenin organ, kadavra ve plazma bağışına anlamlı bir değişiklik yapmadığını düşündükleri tespit edilmiştir. Sonuç: Araştırmada sosyal medya ve internetin bilgi edinmede etkili olduğu, katılımcıların bağış konusunda bilgilerinin olduğu fakat bağış yapmada ya da düşünmede kararsız kaldıkları sonuçlarına ulaşılmıştır.
Itinerario laboral e índice de calidad ocupacional de los egresados de Único Universidad
Authors: Corona Figueroa Beatriz Adriana , Bretón Real Mario Iván
Published: February 2024

"El Índice de Calidad Ocupacional (ICO) es una medida objetiva de la calidad del empleoy el itinerario laboral es la trayectoria que siguen las personas para encontrar empleo. Se buscó identificar estas medidas en los egresados de ÚNICO, de la Universidad Autónoma de Guadalajara, para comparar estos resultados con estudios similares y seguir profundizando en la calidad de la inserción laboral de los egresados de las instituciones de educación superior (IES). También se determinó la relación de estas variables con origen social, sexo, tipo de estudios, satisfacción y remuneración. El estudio fue transversal correlacional, basado en el instrumento de la Agencia para la Calidad de las Universidades de Cataluña, que se distribuyó por redes sociales entre agosto de 2018 y enero de 2019. Se recibieron 121 encuestas de los egresados de ÚNICO y para el análisis estadístico se empleó SPSS 24, con rho de Spearman para las correlaciones. Existió relación significativa entre itinerario laboral y origen social (p=.013); satisfacción con el empleo y adecuación a la carrera (p=.000), satisfacción y retribución económica (p=.000), retribución económica y sexo masculino (p=.000) y tiempo de espera e itinerario laboral (p=.000). Se concluyó que la mayor parte de los egresados de ÚNICO pertenecen al itinerario laboral permanente, encuentran trabajo en su área de estudio y reportan tener una calidad de empleo de mediana a alta. Estos hallazgos enfatizan la necesidad del seguimiento a egresados con este enfoque, que dé cuenta a las IES de la eficacia de sus programas en la inserción laboral."
Voting Ensemble Learning Model (VELM) for Harmful Gas Detection Systems: A Proposed Model
Authors:   School of Computing and Engineering Sciences, Babcock University, Ilishan-remo, Nigeria., Akpan Alfred , Ajayi Oluwabukola ,   School of Computing and Engineering Sciences, Babcock University, Ilishan-remo, Nigeria., Adelowo Opeyemi ,   School of Computing and Engineering Sciences, Babcock University, Ilishan-remo, Nigeria.
Published: February 2024

An increase in industrialization has caused the release of harmful gases into the atmosphere and this has resulted in environmental pollution that greatly affects the health of both plants and animals alike. Over time, sensor-based technology has been used to develop gas detection systems, but they were faced with some major challenges, such as sensor failure and poor performance that have greatly affected their performance. Also, the use of machine learning techniques has been developed for this purpose by leveraging the powers of sensor-based technology. However, they were faced with issues, such as poor feature selection criteria and missing data, which resulted in delays and inaccurate prediction performance of the models. This study, therefore, seeks to survey existing ensemble learning models and to design a Voting Ensemble Learning Model (VELM) for harmful gas detection systems. The methodology adopted for this study is a comparative analysis of the classification models used for the study. The study concludes that there is a need to develop advanced machine learning models to be used for detecting harmful gas and other detection systems such as earthquake, volcano, and landslide detection systems, in real-time that can inform future research. Also, a recommendation was made for the implementation of the developed model based on its low variance and low bias when dealing with widely dispersed data points in a dataset in addition to its ability to deal with local minima and overfitting that affect classic machine learning. Keywords: Detection System, Ensemble Learning, Machine Learning, Sensor