bluuebunny/crossref_metadata_2025 huggingface dataset:
Spontaneous Hemothorax from Pulmonary Intralobar Sequestration: A Case Report
Authors: Korson Clayton , Yu Jasmine , Pester Jonathan M.
Published: July 2024

Introduction: Pulmonary sequestration is a rarely reported phenomenon where aberrant lung tissue exists independently from the rest of the tracheobronchial network. Complications may include hemothorax; however, there is a paucity of descriptions of this condition in the literature. Case Report: We describe a case of a pulmonary intralobar sequestration resulting in atraumatic tension hemothorax. A 73-year-old woman presented to our facility in extremis and with complaints of acute-onset ﬂank pain. Her evaluation was notable for a large pulmonary sequestration with a presumed, moderate-sized effusion; however, initial review did not reveal an obvious underlying cause for her symptoms. Shortly after her arrival to the emergency department (ED) she experienced a cardiac arrest. On secondary review of her computed tomographic angiography, it was determined that what was previously thought to be a pleural effusion was a large hemothorax. Following this ﬁnding, a ﬁnger thoracostomy was performed, which resulted in the immediate evacuation of hemothorax. The thoracostomy was then converted into an ED thoracotomy to assess for active hemorrhage with brief return of spontaneous circulation. Prior to proceeding with emergent operative intervention, the patient’s spouse requested that all further resuscitative efforts cease, and the patient was allowed to expire. In a review of the case, it was determined that the patient suffered from cardiac arrest due to a spontaneous hemothorax secondary to a large intralobar pulmonary sequestration. Conclusion: Pulmonary intralobar sequestration can result in spontaneous hemorrhage with fatal results. Early and correct interpretation of imaging and surgical intervention are crucial in ED management.
Metal Pneumonitis from “Non-toxic” Decorative Cake Dust Aspiration: A Case Report
Authors: Sanders Taylor , Hymowitz Mitchell , Murphy Christine
Published: July 2024

Introduction: Metallic luster dusts are decorative agents for cakes and other confections. While some powders are labeled “non-edible,” they are also marketed as “non-toxic.” We present a case of a child who developed acute metal pneumonitis after accidental aspiration of metallic luster dust. Case Report: A four-year-old presented to the emergency department (ED) in respiratorydistress after attempting to ingest gold decorative metallic luster dust. In the ED she was placed on supplemental oxygen. Her initial chest radiograph (CXR) was unremarkable. Her condition worsened despite high-flow nasal cannula oxygen, and she was intubated. A repeat CXR revealed patchy perihilar and peribronchial opacities. While receiving aggressive ventilatory support, her CXR worsened over the next 48 hours as bilateral interstitial and alveolar opacities progressed, likely representing acute metal pneumonitis with acute respiratory distress syndrome (ARDS). She remained intubated until hospital day (HD) 5, requiring supplemental oxygen until HD 9. She was discharged home on HD 10. A CXR obtained four months later demonstrated increased interstitial markings throughout both lungs with overinflation and subsegmental atelectasis. The patient had persistent dyspnea upon exertion, with pulmonology documenting that her symptoms were likely sequelae from inhalation of the cake luster dust. Conclusion: Non-edible metallic cake dusts are toxic. “Non-edible” labeling does not convey the health risks associated with handling by children, as evidenced by this case of metal pneumonitis with associated ARDS and chronic pulmonary disease. Accordingly, this descriptor should be abandoned for these products, and physicians should be aware of this potential complication.
Efficacy of Leflunomide Compared to Methotrexate in the Treatment of Moderate to Severe Plaques Psoriasis: A Randomized Controlled Clinical Trial
Authors: Aboelwafa Hany , Abokhodeir Hassan , Ibrahim Doaa Mamdouh , Bedair Nermeen Ibrahim
Published: July 2024

Introduction: Psoriasis is a chronic inflammatory autoimmune skin disease. Several treatment options are available including topical and systemic options. Methotrexate was the main systemic medication in treating severe psoriasis, yet adverse events can limit its use. Leflunomide is an isoxazole derivative that inhibits the synthesis of pyrimidines, and subsequently inhibits RNA and DNA synthesis. Objective: As available data directly comparing MTX to leflunomide in psoriasis are lacking, this double blinded study was designed to compare the efficacy of methotrexate versus leflunomide in the treatment of moderate to severe psoriasis.  Methods: The study included 40 patients (25 males and 15 females) with chronic plaque psoriasis, s. Patients were randomly assigned to one of two equal groups, group A for subcutaneous methotrexate injections and group B for leflunomide (loading dose 100mg daily for the first 3 days then 20 mg daily for 3 months. Disease severity was determined by psoriasis area and severity index (PASI) score before and at the end of treatment The treatment response was evaluated at the baseline and weeks 4, 8 and 12 PASI score. Results: Both groups were matching at the baseline in aspects of gender, age, disease duration and PASI scores Both medications yielded comparable results with no significant difference between both groups in PASI score neither in side effects.. Conclusion: Leflunomide can be as effective as methotrexate in treatment of moderate to severe psoriasis.
Effectiveness of Ixekizumab in Elderly Patients for the Treatment of Moderate-to-Severe Psoriasis: Results From a Multicenter, Retrospective Real-Life Study in the Lazio Region
Authors: Dattola Annunziata , Bernardini Nicoletta , Caldarola Giacomo , Coppola Rosa , De Simone Clara , Giordano Domenico , Giunta Alessandro , Moretta Gaia , Pagnanelli Gianluca , Panasiti Vincenzo , Persechino Severino , Potenza Concetta , Trovato Federica , Zangrilli Arianna , Bianchi Luca , Pellacani Giovanni , Peris Ketty , Richetta Antonio Giovanni
Published: July 2024

Introduction: This was an observational, retrospective, multicenter study, enrolling elderly patients (>65 years old) treated with ixekizumab with a diagnosis of psoriasis (PsO) and/or psoriatic arthritis (PsA) during the period 2020 to 2023. Objectives: We sought to investigate the efficacy of ixekizumab in elderly patients in the treatment of moderate to severe psoriasis. Methods: We included 73 patients with psoriasis (32.9%), psoriatic arthritis (1.4%) and both of them (PsO-PsA 65.8%), attending the outpatient clinics of seven Italian referral center for psoriasis in Lazio region: Policlinico Umberto I Università Roma La Sapienza, Sant’Andrea Università di Roma La Sapienza, Polo Pontino Università Roma La Sapienza, Fondazione Policlinico Universitario A. Gemelli, Università Campus Biomedico Roma, Istituto Dermopatico dell’Immacolata, and Policlinico Tor Vergata. We collected data related to the characteristics of the patients (age, sex, body mass index) and of the disease (age at onset, duration of psoriasis, previous treatments). The severity of psoriasis was measured with the Psoriasis Area and Severity Index (PASI) score at baseline and after 16, 24, 52, 104 and 156 weeks of treatment. Results: PASI90 was achieved by all the patients in week 16 and remained stable until the end of the study. PASI100 has been achieved by 55.1% of patients at weeks 16 and by 81.3% at week 104. A statistically significant difference has been highlighted between baseline and all the other time points (p<0.0001) for PASI score. A similar trend was observed for VAS score and DLQI score. Conclusions: Ixekizumab was effective and with a good safety profile in psoriatic patients over 65 years. No significant adverse events were reported.
Three-Point Checklist Dermoscopy for Melanoma Screening: Experience in Medical Students New to Dermatology
Authors: Ibani Aldo , Aragón-Caqueo Diego , Naveiro Monserrat , Sánchez Felipe , Ríos Daniela , Medina Javiera , Guglielmetti Antonio
Published: July 2024

Introduction: Melanoma early detection and optimal referral to the specialist, starts in primary care. The medical formation is usually deficient in training general physicians in early detection and risk management for most skin malignancies. A three-point dermoscopy checklist is used as a screening tool for differentiating malignant and benign pigmented lesions in non-expert clinicians using dermoscopy. Objectives: To evaluate the impact of brief medical training on the three-point dermoscopy algorithm in third-year medical students, new to dermatology, and determine the levels of sensitivity and specificity to differentiate malignant and benign pigmented lesions. Methods: Optional dermoscopic lecture for third-year medical students, new to dermatology, in the context of general medical semiology courses, with posterior case discussion and evaluation of 50 dermoscopy cases, 25 benign and 25 malignant. Students were asked to classify malignant versus benign pathology, based on the three-point dermoscopy algorithm discussed. Sensitivity, specificity, and predictive values were calculated according to the student’s responses. Results: 3250 responses from 65 students. Malignant pathology was misclassified as being in 154 responses, while benign pathology was misclassified as malignant in 668 responses. Sensitivity and specificity for differentiating malignant lesions were 89.70% and 61.99% respectively. Moderate interobserver agreement was found (Kappa Value 0.50 [CI 0.47-0.54]). Conclusion: When evaluating melanocytic lesions, the focus of the primary healthcare and general medical formation should emphasize the correct determination of malignant or benign pathology. Teaching the three-point dermoscopy rule to medical students, new to dermatology, yields satisfactory levels of sensitivity and specificity, comparable to general physicians.
High resolution X-ray phase contrast imaging for non-destructive testing of composite materials
Authors: Giakoumakis Georges ,   University Paris-Saclay, Stolidi Adrien , Primot Jérôme ,   University Paris-Saclay,   University Paris-Saclay
Published: July 2024

X-ray imaging is widely used in non-destructive testing dedicated to industry,

medical or security domain. In aircraft production, the aerospace industry increasingly integrates carbon fibre reinforced polymers (CFRP), which may develop defects from operational wear, like lightning strikes. To robustly characterize density

changes resulting from induced lightning damage in CFRP, multilateral shearing

interferometry (MLSI) – a phase imaging technique – have been incorporated on a

X-ray laboratory bench. Indeed, such method provides higher contrasts than X-ray

attenuation imaging for composite materials and brings complementary information

of the imaged sample. However, extracting the phase signal requires conditions of

the imaging system and algorithmic strategies, which can lead to the emergence of

artifacts in phase images. This thesis work involved the characterisation of these

artifacts in the context of MLSI applied to X-ray phase imaging, as well as the

development of tracking methods and corrective strategies.
Peran Kepemimpinan Kepala Sekolah dalam Meningkatkan Kompetensi Pedagogik Guru di MTs Miftahul Jannah Segedong
Authors: Hasanuddin  , Samiyah
Published: July 2024

This study aims to examine the role of principal leadership in improving teacher pedagogical competence at MTs Miftahul Jannah Segedong. Improving the quality of education through teacher competency development is the main focus, considering the challenges of declining quality of education at various levels. Using a qualitative approach, this study explores the leadership strategies implemented by principals to support the development of teacher pedagogical competence. Data were collected through in-depth interviews, participant observation, and document analysis. The main findings of the study indicate that strategies such as conducting periodic workshops, ongoing teacher training, providing motivation through awards, intensive supervision, and holding regular school meetings are very effective in improving the quality of learning in the school. In addition, the principal plays a role in creating a school culture that supports collaboration and pedagogical innovation among teachers. The implications of this study highlight the importance of the role of the principal in fostering a conducive and sustainable learning environment for teacher professional development, which ultimately has a positive impact on the quality of education. Recommendations for this study include increasing policy support for teacher competency development and strengthening school leadership capacity.
Pembiasaan Sholat Berjamaah Terhadap Pembentukan Kecerdasan Emosional Siswa
Authors: Surahyo Surahyo , Nurwahyudi Nurwahyudi
Published: July 2024

Kegiatan salat berjamaah merupakan suatu kegiatan salat yang dilakukan secara berjamaah, dimana salah satunya adalah imam dan yang lainnya adalah jemaah. Ada kebajikan dan aspek psikologis yang dapat memberikan motivasi sehingga akan membantu membentuk perilaku sosial seseorang. Dalam melaksanakan salat berjamaah, siswa yang menerapkan kedisiplinan memiliki indikasi seperti mengikuti salat berjamaah secara rutin, tiba di mushola tepat waktu, belajar mandiri, dan mengerjakan tugas dengan baik. Perilaku disiplin ini akan berimplikasi pada kecerdasan emosional siswa. Kecerdasan emosional adalah kemampuan untuk merasakan, memahami dan secara efektif menerapkan kekuatan dan kecerdasan emosi dan sebagai sumber energi manusia, informasi, hubungan dan pengaruh. Salah satu cara untuk mencapai tujuan pendidikan adalah dengan menciptakan kepribadian yang luhur dan kecerdasan emosional bagi peserta didik. SDN Bumi Rahayu melaksanakan kegiatan ibadah sehari-hari, misalnya shalat berjamaah. SDN Bumi Rahayu memiliki latar belakang keluarga yang berbeda. Mereka tidak mendapatkan perhatian dan kasih sayang penuh dari orang tuanya. Selain itu, dalam hal pendidikan anak kurang diperhatikan, terutama pendidikan informal. Diketahui bahwa banyak sekali permasalahan yang terjadi antara siswa yang satu dengan yang lain di luar jam pelajaran, seperti saling mengejek, dan kesalahpahaman. Dengan dilaksanakan nya program pembiasaan ini sangat tepat guna untuk mengatasi permasalahan siswa yaitu menanamkan kedisiplinan dalam memanfaatkan waktu dan juga untuk pembinaan moral dan pengendalian emosi siswa. Kebiasaan sholat Dhuha dilakukan setiap hari jumat pagi dua kali dalam sebulan yaitu minggu pertama dan ketiga dan sholat dzuhur berjamaah dilakukan setiap hari kecuali hari jumat untuk kalangan atas. Dampak Program Sholat berjamaah dalam Pembentukan Kecerdasan Emosi Siswa yaitu dengan pembiasaan sholat berjamaah siswa dapat menyadari pentingnya rasa persaudaraan, ketertiban dan kepedulian terhadap teman, serta siswa lebih siap belajar dengan percaya diri dalam berekspresi , serta dapat mengendalikan emosi dan amarah, selain itu pikiran dan hati siswa juga menjadi lebih tenang, sehingga akan memperlancar proses pembelajaran.
Pengaruh Pengetahuan Tentang Dunia Kerja dan Pengalaman Praktik Industri terhadap Kesiapan Kerja Siswa Kelas XII Jurusan Permesinan SMK Negeri 1 Sumatera Barat
Authors: Falah M. Jalaluddin , Purwantono Purwantono , Afnison Wanda , Efendi Fiki
Published: July 2024

This research aims to: (1) 1. Find out the influence of knowledge about the world of work on the work readiness of class 1 West Sumatra (3) To determine the influence of knowledge about the world of work and experience of industrial work practices on the work readiness of class XII students majoring in machinery at SMK Negeri 1 West Sumatra. This research is ex-post facto research with a quantitative approach. The research subjects were class Data collection uses a questionnaire. Analysis prerequisite tests include normality tests, linearity tests and multicollinearity tests. The data analysis technique used is simple regression for the first and second hypotheses and multiple regression analysis for the third hypothesis. The results of this research are: (1) there is a positive and significant influence of knowledge about the working world on the work readiness of 12th-grade students majoring in Mechanical Engineering at SMK Negeri 1 Sumatera Barat, as indicated by an rx1y value of 0.488, an r2x1y value of 0.238, and a t-value greater than the t-table value (4.216 > 2.002); (2) there is a positive and significant influence of industrial work practice experience on the work readiness of 12th-grade students majoring in Mechanical Engineering at SMK Negeri 1 Sumatera Barat, as indicated by an rx2y value of 0.558, an r2x2y value of 0.311, and a t-value greater than the t-table value (5.072 > 2.002); (3) there is a positive and significant influence of knowledge about the working world and industrial work practice experience on the work readiness of 12th-grade students majoring in Mechanical Engineering at SMK Negeri 1 Sumatera Barat, as indicated by an rx(1,2)y value of 0.598, an r2x(1,2)y value of 0.358, and an F-value greater than the F-table value (15.603 > 3.162).
Artificial Intelligence's Challenges and Opportunities for Management Education: A Journey of AI in Nonlinear Sciences
Authors: Shah Binod , Sah Rajesh Kumar , Sah Kiran Kumari , Sahani Suresh Kumar
Published: July 2024

This study explores the problems and prospects of integrating Artificial Intelligence (AI) in management education, a field that has significantly evolved with technological advancements. AI has the potential to revolutionize management education by enhancing personalized learning, improving administrative efficiency, and providing data-driven decision-making support. However, challenges such as the digital divide, resistance to change among educators, data privacy concerns, and the substantial investments required for technology and training impede its widespread adoption. A mixed-methods approach, combining a literature review and survey, was employed to gather perspectives from the participants, including educators, administrators, and students. The findings reveal that while a major of institutions use AI for management education, significant concerns remain regarding data privacy, algorithmic bias, and the cost of implementation. The study underscores the need for comprehensive training, ethical guidselines, and increased funding to overcome these barriers. By addressing these challenges, management education institutions can effectively leverage AI to enhance learning outcomes, administrative efficiency, and overall educational quality. The paper provides valuable insights for educators, administrators, and policymakers aiming to integrate AI into management education, ensuring a smoother transition and greater acceptance among stakeholders.
Statistical Estimation and Inference of Board Composition on Financial Performance of Oil and Gas Companies in Nigeria
Authors: Idi Danjuma , Stephen Mathew
Published: July 2024

This study examines the relationship between board characteristics and financial performance of listed oil and gas firms in Nigeria, highlighting the gap in existing literature on the topic. The purpose of this study is to investigate the impact of board independence, board size, and gender diversity on financial performance. A sample of three listed oil and gas firms on the Nigerian Exchange Group (NGX) was selected, and secondary data from annual financial statements for 2010-2021 were analyzed using panel regression and correlation analysis. The findings reveal that female board members have a positive and significant impact on financial performance, while board independence and board size have a positive but insignificant impact. The study concludes that gender diversity on boards is a key factor in driving financial success, and recommends increasing the number of female board members to improve financial performance. The results contribute to the understanding of the relationship between board characteristics and financial performance in the Nigerian oil and gas industry.
Unveiling Phishing Patterns: A Text Mining Analysis of Cyber Threats
Authors: Venkatesan K.G.S.
Published: July 2024

In today’s knowledge and information economy, hacking is a huge problem that affects a wide variety of businesses of all shapes and sizes. In recent years, there has been an increase in the prevalence of a variety of attack techniques, such as distributed denial of service (DDoS) and assaults on the management faults of cloud servers. In this study, the different types of phishing were analysed via the lenses of word frequency analysis, cluster analysis, and network analysis respectively. We were able to home down on the most important themes, relationships, and patterns by making use of the graph that evolved as a consequence of the study. In addition to that, we were in a position to provide a helpful analysis of countermeasures for phishing. In addition to this, it acts as a launching point for studies into phishing techniques and the development of preventative measures against them. It is possible that one day this sort of research may be used to evaluate the vulnerabilities of open source software, which will lead to the development of a defensive mechanism that is able to adapt to new types of hacking.
A Comprehensive Evaluation of Machine Learning-Based Image Classification Models
Authors: Venkatesan K.G.S. , Nagam Sanjana Reddy
Published: July 2024

This study automatically categorises photographs using Machine Learning (ML). ML has a feature extractor and classification module. It can retrieve certain picture characteristics but not unique ones for validation. ML automatically identifies authorised application attributes. Many deep learning approaches involve convolutional neural networks. A CNN has input, hidden, and output layers. A matrix of input layer pixel values is reinforced by weights and biases to produce pictures. Convolutional, pooling, or linked obfuscated layers. Fully linked output layers classify images. Another hyper-parameter collection is examined. Parameters substantially impact photo classification. Many studies analyse each hyper parameter’s influence. Adjustments include learning rate, iterations, batch size, filters, and hidden layers. A well supervised machine learning algorithm identifies photos. Feature count affects SVM performance. CNN and SVM are evaluated on massive datasets. CIFAR-10 contains ten classes and sixty thousand pictures; MNIST has seventy. Comparison between Machine learning and SVM. Accuracy, learning, forecasting, and others are metrics. CNN classifies better than SVM. CNN outperforms CIFAR-10 on MNIST. The size, kind, and description of the dataset greatly impact machine learning and deep learning performance. CNN learns and predicts slower than SVM. These findings outperform previous machine learning studies utilising the same datasets and methods.
Exploring a Spectrum of Deep Learning Models for Automated Image Captioning: A Comprehensive Survey
Authors: Jaiswal Sushma , Pallthadka Harikumar , P.Chinhewadi Rajesh
Published: July 2024

Automatic caption generation from images has emerged as a fundamental and challenging problem at the intersection of computer vision and natural language processing. This paper presents a comprehensive survey of the techniques, methodologies, and advancements in the field of automatic caption generation from images. The primary objective is to provide an extensive review of the state-of-the-art models, evaluation metrics, datasets, and applications associated with this domain. The survey begins by elucidating the underlying principles of image feature extraction and caption generation. Various neural network architectures, including Convolutional Neural Networks (CNNs) and recurrent models such as Long Short-Term Memory (LSTM) networks, are discussed in detail. Additionally, the paper explores the integration of attention mechanisms and reinforcement learning strategies to enhance the quality and relevance of generated captions. A thorough examination of evaluation metrics, encompassing both automated and human-centric approaches, is presented to evaluate the generated captions quantitatively and qualitatively. The survey also highlights prominent datasets that have significantly contributed to the advancement of research in this field, facilitating a deeper understanding of challenges and trends. Furthermore, the paper discusses practical applications and real-world use cases where automatic caption generation plays a pivotal role, including accessibility, multimedia indexing, and assistive technologies. The discussion concludes by outlining open challenges and future directions, aiming to inspire further research and innovation in automatic caption generation from images. The aim of this paper is to examine and contrast diverse end-to-end learning frameworks for image captioning, employing established evaluation metrics to comprehend their applicability across different research domains. In addition to the comparative analysis, the paper addresses future challenges in this domain.
Packet Length Covert Channel Detection: An Ensemble Machine Learning Approach
Authors: Venkatesan K.G.S.
Published: July 2024

New undetectable attack methods made possible by advances in covert channel techniques. Due to their nonstandard data transfer methods, common countermeasures are ineffective. The detection, mitigation, and elimination of hidden channels that operate on the packet length level are extremely challenging problems. Differences in packet size can be used as part of a covert communication strategy for the delivery of sensitive information across networks. The use of machine learning techniques for detecting covert channel attacks has been praised in recent academic research. Researchers in this work developed an effective ensemble classification method for spotting such breaches. Our approach relies on an ensemble model, which is a combination of three different machine learning methods. There are several applications for classifiers including the Support Vector Machine (SVM), Random Forest (RF), and Naive Bayes (NB). The logistic regression (LR) classifier served as a meta classifier to aggregate the results of the component classifiers into an ensemble classifier. According to the findings, the proposed ensemble model is effective. Among single-classification algorithms, it is unrivalled in its ability to detect such covert channel attacks.
Optimization of car crankshaft strength with ductile iron material through Solidworks simulation
Authors: Ghifari Kimal Al
Published: July 2024

This study aims to provide crucial insights into the performance of crankshaft designs under various loads and operational conditions. The method employed in this research is finite element analysis, facilitated by SolidWorks software, utilizing Ductile Iron material. Crankshafts crafted from ductile Iron are typically employed in vehicle engines due to their commendable mechanical properties and cost efficiency. The force exerted by the piston on the crankshaft generally ranges from 4500 N to 7500 N. The Factor of Safety within the crankshaft denotes the ratio between its material strength and the maximum stress it experiences during operation. The findings of this research indicate that the highest recorded maximum von Mises stress utilizing ductile iron material is 4.658 MPa, with a corresponding Factor of Safety in the crankshaft of 118.4. Consequently, the resilience of ductile iron crankshafts under varying loads and operational conditions can be ensured through meticulous analysis of crankshaft geometry.
Analysis and control of occupational safety risks using the HIRARC method in the Machining Workshop
Authors: Anwar Roki Putra , Kurniawan Andre , Mulianti  , Abadi Zainal
Published: July 2024

This qualitative study focuses on occupational safety and health in vocational school machining workshops to identify significant risks related to training practices. Workplace accidents are considered a serious threat to workers and equipment, potentially affecting productivity and environmental safety. Observations at several vocational schools, especially at SMK Negeri 1 Batipuh, showed low student awareness and compliance with OHS regulations, increasing the risk of risky behaviour and accidents. To address this, the research used the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method, which systematically identifies hazards, evaluates risks based on severity and likelihood, and proposes control measures. The research at SMK Negeri 1 Batipuh involved direct observation, interviews, and analysis of SOPs in the workshop, finding significant risk variations in workshop conditions, lathe operations, welding, material handling, hand tool use, and machine protection. The results highlighted the predominance of intermediate risks in all-hazards analyzed, emphasizing the importance of developing more effective risk management strategies. This research aims to reduce accidents and improve student safety during training by addressing existing OHS implementation gaps and implementing appropriate risk controls. In addition to filling a gap in the literature, this study provides practical insights for improving OHS practices in vocational schools.
Effectiveness of case method learning to optimise students' understanding of industrial mechanical machinery science
Authors: Putra Rendy Dwi , Waskito  , Arafat Andril , García Juan Luis Cabanillas , Ayasrah Firas Tayseer Mohammad , Fortuna Aprilla
Published: July 2024

Education has a central role in preparing individuals for the complexities of the modern world of work. Particularly in the context of education in Vocational High Schools, developing students' competencies in collaboration, creativity, and problem-solving is essential. This study explores the effectiveness of the case-based learning method in improving students' understanding of industrial mechanics. The study used a quasi-experiment design with control and experimental groups. The statistical analysis results showed that the case method was more effective in improving students' cognitive mastery than the conventional lecture method. Students who participated in case method learning showed significant improvement in the post-intervention test, demonstrating the superiority of this method in supporting a more effective learning process and preparing students for practical challenges in the field. In conclusion, the case method increases students' participation and interactivity in the learning process and deepens their understanding of technical concepts in industrial mechanics. This research provides a solid basis for implementing more effective and relevant learning methods in preparing vocational students for the increasingly complex needs of the world of work.
Public perception of the use of television in promoting healthy water consumption
Authors: Habibu Richifa Aminu , Joseph Ayodele Babatunde
Published: July 2024

The Mass Media plays a crucial role in advocacy and publicity, influencing people's mindset and perceptions, thereby affecting their behavior. This study focuses on understanding the public perception of television's role in promoting healthy water consumption in Kaduna state, with the aim of managing solid incidents. Using the magic bullet theory of the press and a survey research design, 60 respondents were sampled through stratified sampling. The study revealed that television programs enlighten people about the importance of using hygienic water and increase their knowledge about water usage. It concludes that television is instrumental in achieving SDG goals by propagating the significance of healthy water consumption among Kaduna state residents. The study recommends that all media organizations in Kaduna state should implement similar programs to raise awareness about the importance of clean drinking water. Additionally, television programs should educate the public about water contamination and its effects on human health.
Locational, neighbourhood and physical characteristics of residential rental properties: A review
Authors: Sani Adamu , Mohammed Mohammed Ishaq , Usman Hamza
Published: July 2024

The residential rental market plays a crucial role in housing provision, yet our understanding of its locational, neighborhood, and physical characteristics remains limited. This paper presents a comprehensive review of existing literature pertaining to these fundamental aspects of residential rental properties. By synthesizing findings from a wide range of academic studies and reports, we aim to shed light on the key factors that influence the rental property landscape. The study strategically explores the locational attributes that impact rental property preferences and values. This includes proximity to essential amenities such as schools, hospitals, public transportation, and commercial centers. Understanding how these locational factors influence rental demand and pricing patterns can provide valuable insights for both renters and landlords., Investigate the role of neighborhood characteristics in shaping rental markets. Neighborhood safety, accessibility to recreational areas, quality of public services, and social demographics are among the key factors that influence rental property selection. By analyzing these features, we identify potential correlations between neighborhood attributes and rental property performance., the study delves into the physical characteristics of residential rental properties. This aspect involves examining the features of the properties themselves, such as property size, layout, age, and amenities. Understanding how these physical attributes affect rental values and tenant satisfaction can help property owners optimize their investments and improve tenant retention. Moreover, in this study the review addresses the dynamic interplay between locational, neighborhood, and physical factors in shaping rental property markets. By recognizing the complex relationships between these variables, policymakers, real estate developers, and investors can devise informed strategies to create sustainable and inclusive rental housing solutions. The paper concludes with a call for further research in this field, emphasizing the need for empirical studies that capture changing rental market dynamics, especially in the context of evolving urban landscapes and housing preferences. Through this comprehensive review, we aim to contribute to a deeper understanding of locational, neighborhood, and physical characteristics in residential rental properties, thus enabling more effective and evidence-based decision-making within the rental housing sector.
Impact of ‘brown envelope journalism’ on news coverage in Ghana
Authors: Acheampong Richmond
Published: July 2024

The study looked at how ‘Brown Envelope Journalism’ affects news coverage in Ghana. It also determined whether journalists in Ghana have the necessary ethics training to fend off the allure of brown envelopes and how the presence of brown envelope journalism impacts the public's confidence in Ghana's media. A questionnaire with 17 data-collection items was distributed randomly to 300 journalists in the Sunyani Municipality in Ghana’s Bono Region. The majority of journalists (i.e., 83%) said ‘Brown Envelope Journalism’ causes the underreporting of some important issues or the overemphasis of others, while 17% of them, the minority respondents, said ‘Brown Envelope Journalism’ does not cause the underreporting of important issues or the overemphasis of others. Based on the findings of the study, it was recommended among other things that to eradicate ‘Brown Envelope Journalism’ from Ghana's media landscape, Ghanaian media organizations should pay their journalists well.
Uncover the meaning of figurative language in the selected songs
Authors: Teja Nova Surya , Utami Ni Made Verayanti , Juniartha I Wayan
Published: July 2024

Language is the main medium for communication, and can build relationships with each other that serve to carry meaning. This study concerns to analyze figurative languages found in selected Alec Benjamin song lyrics. There are two problems that are formulated in this study, they are: (1) what are the types of figurative language found in Alec Benjamin song lyrics; (2) what are the meaning of the Figurative language found in Alec Benjamin song lyrics. In this research used two theories. The first theory proposed by Knickerbocker and Reninger (1963) which is used to identify figurative language types and the second theory of meaning is supported by Leech (1981) to analyze the meaning. The method used in gathering the data was done by the method of formal and informal. The researcher obtained the data by listening the songs, reading the scripts of lyrics, underlining, and classifying the lyrics which contains types of figurative languages. The data was analyzed descriptively using qualitative method. It was found four types of figurative language: hyperbole, personification, synecdoche, and paradox. The most widely used is hyperbole and simile, with the rest has equal numbers or rank. There is one type of meaning found in the lyrics in a connotative meaning.
Book review: this is me! whatever you say
Authors: Wajdi Majid , Pratiwi Ni Kadek Anjelia Putri , Putra I Komang Agus Januarta Sutisma , Amanah Firda Maulia , Muhamadias Nusrat , Amandari Ni Kadek Pande Anggi
Published: July 2024

The purpose of writing is to convey to readers whether a book or work deserves a response from the public or not. Besides that, it is also to give considerations to other works of art such as plays, films, and a performance. Because the considerations conveyed by reviewers must be adjusted to the tastes of readers, a review published in a magazine may not be the same. The method we use in reviewing a book entitled "This Is Me" is the reporting method. The reviewers intentionally describe the contents of the book, and expresses the opinion through details that the reviewers select and omit. The reviewers would present the result of the review. This book has the benefit of encouraging readers of any age, whether young or old, to love themselves without having to worry about what other people think. Become a more confident person, and the story teaches the readers that even if someone falls and gets hurt, they have to do their best until it is time to heal. Such mental strength grows when one has the drive to make it even better. This book seems easy to understand because the language used by the author is light and contains many motivational sentences. This book really helps teenagers to believe more in their potential without worrying about other people's comments that harm them. This book manages to package the problem as well as the solution. There are case studies and motivational sentences that can encourage readers. The conclusion is if one feels that one cannot love him or herself, he or she does not know themselves deeply, and they still ignore other people's negative words.  This book will guide the readers to solve the personal problems everyone is experiencing. By reading  the book, it will make the readers or individuals can do various things without thinking about negative comments from other people.
Lexical and grammatical cohesion analysis of “nothing like us” song lyrics: written discourse analysis
Authors: Dewi Ni Made Sinta Cahya
Published: July 2024

This research aims to describe and analyze the lexical and grammatical cohesion types and identify the most common lexical and grammatical cohesion in Justin Bieber's song lyrics "Nothing Like Us". The method used is the descriptive qualitative method. The subject of this research is the words found in the song lyrics "Nothing Like Us". This research showed three lexical cohesion categories, namely repetition, synonymy, and meronymy, and three grammatical cohesion categories, particularly personal reference, demonstrative reference, and conjunction. According to the findings, the song "Nothing Like Us" lyrics contain nine different lexical cohesion types, including seven repetitions, one synonym, and one meronymy. Based on the summary of the result, repetition becomes the data's most common or dominant occurrence. Meanwhile, grammatical cohesion consists of three personal reference, one demonstrative reference, and five conjunctions. As a result, conjunctions appear to be the most frequent in the data. The goal of lexical and grammatical cohesion is to provide harmony to songs to make them more meaningful. The most common effects on listeners were repetitions deepening the song's meaning and allowing listeners to enlist their thoughts more deeply in the song.
A captivating journey of memory and healing: A review of a novel book “Sebuah usaha melupakan” by Boy Chandra (2016)
Authors: Wajdi Majid , Setiadewi Ni Putu Chesya Putri , Ratih Ni Kadek Pande Ayu , Dewi Ni Ketut Citra , Suteja Mutira Kristiani , Pridari Ni Made Mira
Published: July 2024

This study tries to review an Indonesian novel "Sebuah Usaha Untuk Melupakan" (2016). This novel is a thought-provoking novel by Boy Chardra that delves into the intricate web of human emotions, memories, and the powerful journey of healing. Set against the   backdrop of a bustling city, the story follows the  protagonist as he embarks on a quest to forget a haunting past and find solace in the present. As the novel unfolds, the protagonist encounters a diverse cast of characters who contribute to his transformative journey. Each interaction serves as a catalyst for self-reflection, challenging his perceptions and forcing him to confront the painful memories that haunt him. The narrative weaves seamlessly between past and present, gradually unraveling the layers of    the protagonist's history and offering glimpses of  hope and redemption. The writer's evocative prose paints a vivid picture of the urban landscape, mirroring the protagonist's internal struggles. The city becomes a metaphorical canvas upon which the protagonist attempts to forge a new identity and escape the clutches of his past. Through atmospheric descriptions and poetic imagery, the author creates a palpable sense of time and place, immersing readers in the protagonist's world. The novel explores universal themes of love, loss, and the intricate nature of memory. The writer skillfully crafts a narrative that not only captivates readers but also prompts them to reflect on their own experiences. The novel serves as a poignant reminder that healing and growth often require confronting one's past, embracing vulnerability, and on a transformative journey towards self-discovery. This novel is a compelling novel that navigates the complex terrain of memory and  healing with grace and sensitivity. The writer’s masterful storytelling and introspective exploration of the human condition make this book a memorable read, resonating with readers long after the final page is turned.
English only please? students' views of their self-confidence in spoken English in a Philippine state university
Authors: Briones Max Samson , Villegas Kemart , Maroto Philip Andre , Lleve Jay , Sevillano Jenny Ann
Published: July 2024

Speaking in front of a crowd necessitates a great deal of courage and confidence in order to adequately explain and communicate your message to the audience. According to Inayah and Lisdawati (2017), students who struggle to speak in front of a large group of people frequently lack self-confidence. In regards, the researchers utilized a qualitative research approach, specifically Interpretative Phenomenological Analysis, in conducting this study. The study seeks to determine how students perceive their confidence in spoken English, as well as the precise tactics they use for confidence reinforcement. A total of 22 second year English major students, using semi-structured interview, the current study investigates their perceptions and views about their self-confidence in terms of spoken English in a Philippine State University as well as what certain techniques and approaches do they employ for confidence reinforcement. The results showed that majority of them were viewing themselves as mediocre users of the said language and are still in the process of learning. They are still working with their fluency as well as expanding their vocabularies. The most dominant learning approach students employ is the traditional way which includes reading books, novels and other literary works. Future researchers may investigate the students' oral recitation approach preference and conventional learning mediums which were not included in the current study.
Investigating the listening and transcription performance in court: experiences from stenographers in Philippine courtrooms
Authors: Etulle Richemyll Dave , Moslares Fatima Riegnelle , Pacad Eve Zary Jamie , Odullo John Lawrence , Nacionales Joseph , Claridad Norberto
Published: July 2024

Stenographers are essential figures in a country’s justice system; they are tagged as “silent superheroes” due to their demanding profession of creating official transcripts in legal proceedings by converting “spoken word to text” (Ridoloso, 2023). Stenographers' listening and transcribing accuracy is critical in assuring the dependability and fairness of court processes. Proficiency of the listener does not equate to having a stable listening comprehension all the time, they still encounter challenges in listening. A total of twelve (12) stenographers from different municipal and provincial trial courtrooms within Eastern Visayas were interviewed. Using qualitative research through Interpretative Phenomenological Analysis (IPA), the present study examined the key factors that affect the listening and transcription performance of court stenographers, including how they manage these factors. Using thematic analysis, the participants identified the following key factors that affect their listening and transcription performance: linguistic and cognitive barriers, external and clarity barriers, and challenges in the legal context. The participants likewise revealed that they manage the following challenges through (1) effective courtroom communication and practices; (2) enhancing transcription accuracy with technology and collaboration; and (3) optimizing stenography practices in the legal field. By understanding and addressing these factors, stenographers can enhance their overall performance and contribute to a more effective and efficient justice system.
The outlining techniques in academic writing of freshmen accountancy students in Philippine higher education institution
Authors: Marmita Kristel Joy , Saclay Rhafael , Caimoy Marivic , Maga Arriana Alexa , Nacionales Joseph , Claridad Norberto
Published: July 2024

Integrating outlining techniques have aided students in the process of writing their academic papers and helped them accomplish their paper effectively. Outlining as a pre-writing practice can help students enhance their writing abilities. Accounting students are renowned to work with numbers and analyze data, but little is known about their ability to write their academic papers. This study aims to determine the outlining techniques utilized by first-year accountancy students and how these help them in their academic writing, the use of qualitative research through Interpretive Phenomenological Analysis (IPA) is applied. A total of 26 responses were gathered by interviewing first-year accountancy students in a Philippine Higher Education Institution. The study's findings revealed three outlining strategies utilized by the students: (1) utilizing the three basic outlines; (2) compiling accumulated ideas; and (3) having a goal to know the content of their academic papers. The mentioned techniques, according to the data gathered, help accountancy students organize and express their ideas and thoughts better on paper. Research results have also shown that utilizing outlining techniques not just help accountancy students in their academic paper, but also their personal lives as it also contributes to their personal development as an individual. For future research, it is suggested that a correlational study between accounting students who employ outlining techniques, and those who do not when writing academic papers be conducted.