bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Building Information Modeling (BIM) Pada Proyek Perumahan
Authors: IPM Paikun , Rozandi Ardin , Budiman Dana , Indra Ramdani  , Vladimirovna Kornienko Elena
Published: June 2024

The development of the construction industry is changing very quickly. This is evidenced by the many construction projects being built in Indonesia, such as buildings, roads, bridges, etc. However, the delay in the development process is still an obstacle that must be resolved, one of which is the delay in the design process, even according to previous research, the delay based on the shop drawing process is 22%. Therefore, how to overcome delays due to the shop drawing process. Can the process of making shop drawings be more efficient? To minimize delays caused by the shop drawing design, the author will conduct research to create designs using drawing applications. By integrating Building Information Modeling (BIM) several image applications which will then be combined with estimation data and project scheduling data. Many of these applications are found on the internet, but the integration applications that I will use include Vico Office for 3D, 4D, and 5D analysis, Sketchup for architectural design, Autodesk Revit for electrical design, Tekla Structure for structural design and SAP 2000 for structure analysis. It can be concluded from this study that time efficiency can be found in making project designs and can minimize delays caused by design and planning by 30% compared to the results of design and planning that do not use the concept of integration of Building Information Modeling (BIM)
Identifikasi Resiko Kecelakaan Kerja Menggunakan Metode Hirarc Pada Proyek Preservasi Jalan Rigid Pavement Babat-Lamongan-Gresik
Authors: Juraman Maria Fransiska Trinity , Michella Beatrix
Published: June 2024

Kecelakaan kerja adalah segala insiden yang terjadi di tempat kerja atau berkaitan dengan pekerjaan, yang dapat menimbulkan cedera, penyakit akibat kerja (PAK), hinggan kematian. Beberapa cara yang digunakan untuk mencegah kecelakaan kerja ialah dengan melakukan indetifikasi resiko kecelakaan kerja. Pada penelitian ini dimaksudkan untuk mengidentifikasi resiko kecelakaan kerja menggunakan metode HIRARC. Hasil dari penelitian ini adalah hasil identifikasi resiko kecelakaan kerja, penilaian resiko kecelakaan kerja, dan pengendalian resiko kecelakaan kerja.
Kata Kunci: Kecelakaan kerja, HIRARC¸ PAK
Presentación. Nuevas formas de exclusión e invisibilidad social
Authors: Ubrich Thomas
Published: June 2024

Para ser visibles a la vista de otras personas, hay que saber jugar con la luz. El ojo humano puede percibir los objetos solo cuando estos últimos emiten o reflejan la luz. Si no percibimos rayos de luz en proveniencia del objeto, el objeto en cuestión no puede ser visto por el ojo.
Assessment of Green Belts and Existing Plantations along Roads in Multan, Pakistan: Locals' Perspectives
Authors: Ullah Sami , Ahmad Tanveer , Saeed Tahir , Mehmood Hafiz Zahid , Ijaz Muhammad Muzamil , Farooq Umar , Ahmad Iftikhar , Khan M Usman , Ashraf Muhammad Khushnood , Saleem Muhammad , Akbar Ahmed Faiz
Published: June 2024

This study assessed people's awareness and perception regarding green belts and existing plantations in Multan. Three different roads were randomly selected to collect data for this study. A validated and well-structured questionnaire was developed and data were collected from 385 respondents. Descriptive statistics and Chi-square tests were used to analyze the data. The results revealed that dense trees and evergreen shrubs were highly preferred for greenbelts. Preferred facilities included jogging tracks and sitting areas. The responsibility for green belt management and cleanliness was primarily attributed to the government, although private institutions were also recognized for their role in protecting it. Chi-square tests indicated significant associations between demographic factors and awareness of green belts. Age, education, gender, and occupation were significantly related to perceptions of green belts' benefits, such as beautification, pollution reduction, health improvement, infrastructure development, increased land value, and business opportunities. Highly educated and middle-aged respondents showed greater support for green belt awareness. By aligning urban planning and policy decisions with these public preferences and demographic insights, policymakers can enhance the effectiveness and sustainability of green belt projects.
A Trifecta of Deep Learning Models: Assessing Brain Health by Integrating Assessment and Neuroimaging Data
Authors: Ajith Meenu , M. Aycock Dawn , B. Tone Erin , Liu Jingyu , B. Misiura Maria , Ellis Rebecca , M. Plis Sergey , Z. King Tricia , M. Dotson Vonetta , Calhoun Vince
Published: June 2024

The investigation of brain health development is paramount, as a healthy brain underpins cognitive and physical well-being, and mitigates cognitive decline, neurodegenerative diseases, and mental health disorders. This study leverages the UK Biobank dataset containing static functional network connectivity (sFNC) data derived from resting-state functional magnetic resonance imaging (rs-fMRI) and assessment data. We introduce a novel approach to forecasting a brain health index (BHI) by deploying three distinct models, each capitalizing on different modalities for training and testing. The first model exclusively employs psychological assessment measures, while the second model harnesses both neuroimaging and assessment data for training but relies solely on assessment data during testing. The third model encompasses a holistic strategy, utilizing neuroimaging and assessment data for the training and testing phases. The proposed models employ a two-step approach for calculating the BHI. In the first step, the input data is subjected to dimensionality reduction using principal component analysis (PCA) to identify critical patterns and extract relevant features. The resultant concatenated feature vector is then utilized as input to variational autoencoders (VAE). This network generates a low-dimensional representation of the input data used for calculating BHI in new subjects without requiring imaging data. The results suggest that incorporating neuroimaging data into the BHI model, even when predicting from assessments alone, enhances its ability to accurately evaluate brain health. The VAE model exemplifies this improvement by reconstructing the sFNC matrix more accurately than the assessment data. Moreover, these BHI models also enable us to identify distinct behavioral and neural patterns. Hence, this approach lays the foundation for larger-scale efforts to monitor and enhance brain health, aiming to build resilient brain systems.
EDUKASI KESELAMATAN LALU LINTAS DI KALANGAN EMAK-EMAK RW 02 DESA SOGO KABUPATEN BLORA
Authors: Magfirona Alfia , Fitrianingrum Wahyu Ria , Rahmawati Febriria , Hidayati Nurul , Sunarjono Sri , Listyawan Anto Budi , Handayani Nur Khotimah
Published: June 2024

Kurang sadarnya masyarakat dalam hukum berlalu-lintas dapat dilihat dalam perilaku seperti semakin meningkatnya pelanggaran lalu lintas. Selain itu, pengetahuan tertib berlalu lintas yang minim dan praktik berkendara yang buruk juga menjadi penyebab yang memperparah tingginya tingkat kecelakaan lalu lintas. Tingkat kecelakaan lalu lintas pada tahun 2021 di Kabupaten Blora sepanjang tahun 2021 mengalami peningkatan dibanding dibanding tahun 2020. Salah satu upaya untuk mengatasi permasalahan tersebut dapat dilakukan dengan edukasi etika berlalu lintas di kalangan emak-emak Desa Sogo Kabupaten Blora. Kegiatan pengabdian telah dilaksanakan pada hari Kamis, 27 April 2023 Pukul 15.00 – 17.00 WIB menggunakan metode tatap muka. Edukasi yang dilakukan telah mampu meningkatkan kemampuan emak-emak dalam pemahaman berlalu lintas dan etika berkendara. Evaluasi kegiatan pengabdian dilakukan melalui Pre dan Post Test, Berdasarkan indikator per item soal, hasil rata-rata hasil pre-test menunjukkan angka sebesar 69,35%, sedangkan hasil post-test mengalami peningkatan 30,65%. Secara keseluruhan hasil capaian persentase post-test per item soal mencapai 100%. Hal ini dapat disimpulkan bahwa edukasi yang dilakukan telah berhasil meningkatkan kemampuan emak-emak dalam pemahaman berlalu lintas dan etika berkendara. Dengan demikian, para emak-emak tersebut telah dianggap mampu untuk berbagi informasi dan pemahaman terkait etika berlalu lintas kepada anak-anak mereka dan tetangga serta dapat menerapkannya dalam berperilaku selama berlalu lintas di jalan sebagai tindak lanjut kegiatan ini.
The application of improved backpropagation neural network in college student achievement prediction
Authors: Qin Qin , Jiang ShiHui
Published: June 2024

Educational institutions generate a large amount of digital data in their daily operations, which is stored in servers, forming a substantial educational data set. Extracting valuable information through practical data analysis has become a critical problem that needs to be solved urgently. Students' examination results are an essential basis for evaluating their learning status, which reflects the effect of school education to some extent. Therefore, we propose a model based on the BP network and Pandas to construct a prediction model for Pandas' performance in the first year and their successful graduation to explore the potential relationship between Pandas' performance in the freshman year and graduation, thus realizing the principle of early guidance and improvement of teaching quality. Through the random prediction experiment of 9,424 scores data of 304 students in 2017 and 2018 majoring in network engineering at a university, the accuracy rate is 96.71% after the experimental data analysis and verification, which has proved that there is a potential correlation between the students' first-year course scores and graduation. Meanwhile, the improved BP network proposed in the present research exhibits reasonable practicability and extensibility in the college student achievement prediction model.
The impact of creativity and digital leadership on decision-making quality: Implications for public service performance
Authors: Mulyani Sri
Published: June 2024

This study investigates the relationships between creativity, digital leadership, decision-making quality, and public service performance in Sidoarjo Regency. The primary objective is to examine how creativity and digital leadership influence decision-making quality and, subsequently, public service performance. A quantitative approach utilizing a cross-sectional study design was employed. Data were collected from 200 employees of public service institutions in Sidoarjo Regency using Google Forms and direct interviews. The main variables were assessed using Likert scales, measuring creativity, digital leadership, decision-making quality, and public service performance. The analysis involved descriptive and inferential statistics, including regression analysis and mediation analysis. The findings reveal significant positive relationships between creativity, digital leadership, decision-making quality, and public service performance. Creativity and digital leadership were found to positively impact decision-making quality, which in turn influenced public service performance. The implications suggest that fostering a culture of creativity and digital leadership is crucial for enhancing decision-making quality and, consequently, improving public service performance. Public service managers should invest in initiatives to develop creativity and digital leadership skills among employees and prioritize transparent decision-making processes. Furthermore, the study highlights the need for continuous monitoring and evaluation to ensure sustained improvements in public service delivery. The novelty lies in examining the interplay between creativity, digital leadership, decision-making quality, and public service performance within the context of Sidoarjo Regency, providing valuable insights for public service management in the region.
Exploring attitude and intention toward solar panel cleaning robots: Evidence from user insights
Authors: Promvongsanon Rubporn , Sawmong Sudaporn , Khalid Bilal
Published: June 2024

There is a global trend towards adopting green energy, with solar energy being the primary source derived from solar panel technologies. Solar panels can generate enough power for general and household use. However, to effectively function and serve their purpose, they require regular cleaning and effective maintenance, and robotic cleaning is among the current applicable technologies. This research aims to determine the intention of using solar panel cleaning robots in Thailand for individual solar panel users. The study was hinged on the extended C-TAM-TPB model. The quantitative survey study design was employed using primary data collected from individual solar panel users in their households. 419 respondents were used to collect the data. The C-TAM-TPB model proposed using reliability, validity, and model fitness which employed confirmatory factor analysis (CFA). They adopted structural equation modeling (SEM) in the evaluation of the variables' relationships and study hypotheses. Subjective norms and trust in technology, individual control perception, and awareness of renewable energy significantly and positively affected behavioral intention to use solar panel cleaning robots as indicated by the study. Trust in technology, awareness of renewable energy, and environmental concerns were found to be pivotal mediators to the attitude effect on individual users' intention to act in using solar panel cleaning robots. The authors recommend that to improve the adoption of solar panel cleaning robots; the concerned stakeholders should consider, firstly, enhancing trust in the technology of these robots, which is crucial, focusing on aspects like reliability, privacy, security, and reputation. Secondly, considering the influence of subjective norms, including perceptions from family, friends, colleagues, and experts, is essential. Perceived behavioral control should also be a focal point, encompassing self-efficacy, resources, and complexity. Moreover, increasing awareness of renewable energy and environmental benefits is vital to encourage individual adoption. The research also recommended that to encourage the adoption and use of solar panel cleaning robots, the aspects that should be emphasized include subjective norm, perceived behavior control, trust in technology, and awareness of renewable energy.
Bullwhip effect on closed-loop supply chain considering lead time and return rate: A study from the perspective of Bangladesh
Authors: Lingkon Md. Limonur Rahman
Published: June 2024

Continuously increased order and variability of the inventory in the uppermost level of the supply chain node create the Bullwhip effect. In the context of closed-loop supply chains, this dynamic phenomenon is still little understood despite modern nations' increasing interest in exploring the potential for a circular economy. The problem-specific literature has produced results that are a little bit contradictory. I derive formulas in four archetypes for computing inventory order and variance amplification with different information transparency structures to better understand the Bullwhip Effect in the closed-loop structure. It’s interesting to note that the visibility of the supply chain's degree significantly influences how lead time and return rate affect the performance of that system. From this vantage point, I may review differences from earlier studies. Later on, I switched the perspective of the study from operational to economic. Here, the ideal return rate was established, and the four closed-loop supply chain (CLSC) archetypes where it might be expressed were provided. I demonstrate that the lead times, demand unpredictability, and the cost structure of all nodes affect the ideal rate of return. In this study, I also address pertinent management implications and the properties of various closed-loop systems from the perspective of Bangladesh.
Enhancing safety and risk management through an integrated spherical fuzzy approach for managing laboratory errors
Authors: Eftekharzadeh Shayandokht Sadat , Ghoushchi Saeid Jafarzadeh , Momayezi Farid
Published: June 2024

Hospital hazards and human errors pose a significant and complex problem, with rising incidents and irreversible consequences. Managing laboratory errors and risks is vital due to the presence of chemicals, electrical equipment, and the involvement of students, professors, and staff. The high value of laboratory equipment further underscores the need for robust risk management strategies. To address these challenges, researchers have explored the Failure Mode and Effects Analysis (FMEA) method for risk identification and assessment in healthcare settings. However, recognizing its limitations, this study aims to prioritize and evaluate laboratory errors using an integrated approach that combines the Best-Worst Method (BWM) and Complex Proportional Assessment with a Fuzzy Spherical Environment (CoCoSo-FSE). By applying the BWM, criteria such as severity, detectability, and occurrence probability are weighted to account for the nature of laboratory errors. The CoCoSo-FSE is then employed to evaluate and prioritize 18 identified laboratory errors, reducing uncertainty and enhancing decision-making. The fuzzy spherical set is used to address uncertainties by providing a flexible framework for decision-makers to define membership functions in specific spherical regions, enhancing the representation of knowledge and decision-making information. The proposed approach is compared with other decision-making methods, namely MOORA and COPRAS, demonstrating reliable ranking results. Sensitivity analysis confirms the stability of the approach's ranking when adjusting the flexibility parameter. This integrated approach offers a reliable and robust decision-making technique for managing laboratory errors, providing valuable insights to enhance laboratory safety and risk management for stakeholders, managers, and policymakers.
EMERGENCY RESPONSE: THE AVAILABILITY OF ACCESS ROAD AT THE INTERNATIONAL AIRPORT
Authors: Dermawan Ramadhan , Kusdarwanto Heru , Nugraha Minulya Eska , Nirmala Kartikasari Yudita , Rizkyanti Fadhilla Nina
Published: June 2024

An access road is a road traveled by ARFF vehicles to connect the fire station with the runway or aircraft movement area. This research aims to identify the situation and opportunity of the access road built in Juwata Tarakan Airport to provide response time by rearranging aircraft movement management on the Main Apron and Taxiway. The research method used in this research is descriptive qualitative with gap analysis techniques and uses data collection through observation, interviews, and documentation. The result of this study can be used as a reference and guide in designing access roads under applicable regulations, and it is expected to complement and expand references in the development of science in the field of air transportation management. In addition, the position of the Fire Station is close to one of the Runways and is not in a strategic location (0°). So that we can achieve faster response time to the nearest Runway, the conclusion is that the Juwata Airport ARFF Unit cannot build an access road to national regulations because the Fire Station is directly opposite the old Apron and Taxiway. It is expected that Juwata Airport can make rearrangements related to aircraft movement management on the Main Apron and Taxiway.
世界三大宗教中心聖在何處？耶路撒冷和聖殿山筆記
Authors: 國慶華 國慶華
Published: June 2024

為什麼耶路撒冷是聖地？建築上，猶太教，基督教和伊斯蘭教彼此什麼關係？三教的至聖所各有什麼特色？本文討論兩方面問題：一、猶太人的第一和第二聖殿的建築式樣;建在聖殿址上的穆斯林建築和規劃特點;聖殿山的佈局和結構發生的變化。二、耶路撒冷老城的規劃特點;城牆和城樓的設計和建造。本文從現場調查遺存和學習考古資料出發，經過梳理之後，將這些問題放入歷史地理和宗教文化框架中，進行綜合觀察，思考和提煉，由此產生詮釋。根據分析，得下述結論：非洲和歐亞大陸之間的黎凡特，在1000年的時間裡，世界末日般的戰爭環境裡的猶太人有相當發達的精神世界。這種豐富的精神生活奠定了耶路撒冷日後為世界三大宗教中心的基礎。三教彼此相關，卻是三個各有特色的至聖建築文化。Why is Jerusalem holy? What is the relationship between Judaism, Christianity and Islam? What are the characteristics of the Holy of Holies of the three religions? This article discusses two questions: First, the architectural styles of the First Temple and the Second Temple, features of the Muslim architecture and planning built upon the site of the Jewish temple, changes in the layout and structure of the Temple Mount. Second, the planning features of Jerusalem, design and construction of the city-walls and towers. This research starts from in-situ investigations of the architectural remains and studies of the archaeological reports, then put them into the historical framework of geography and religion. The comprehensive study and comparative analysis result in interpretative outcome. It is concluded that the Levant between Africa and Eurasia, over a period of 1,000 years (the first United Kingdom of Israel to the Kingdom of Herod), Jews in an apocalyptic war environment developed a strong spirit. The rich spiritual culture laid the foundation for Jerusalem’s future status as the world's three major religions centers. The three religions are closely related to each other, but each is unique in the world architecture.
Oral solutions used in the treatment of gingivitis
Authors: Bajureanu Andreea , Uncuţa Diana
Published: June 2024

Introduction. Gum disease can be caused by the build-up of oral bacterial plaque. If the bacteria are not removed by regular brushing and flossing, they can irritate the gums, causing them to become red, inflamed and bleed. These are the early symptoms of gum disease, called gingivitis. Objective of this study is to review the dental specialty literature and present the current knowledge regarding the technical and clinical aspects of different oral solutions, remedies for bacterial plaque exposure and treatment of gingivitis. Materials and methods. In the study we selected a sample of 10 patients aged between 15-30 years. Plaque developers with Erythrosine were applied. Oral rinsing with plain water or use of water spray was performed to remove soft deposits, food debris, excess dye. Appreciation of the degree of coloring. Removal of the dye by professional brushing with professional oral pastes. Various oral solutions have been used to improve the hygiene of the oral cavity. Results. The use of plaque revealers has been found to improve plaque exposure and removal through professional brushing to prevent gum disease. The use of oral solutions led to an obvious result of removing the unpleasant odor from the oral cavity and fresher breath. Conclusion. The use of oral plaque removers, mouthwashes, scaling and professional brushing lead to a significant reduction in gum disease. There is a need to raise awareness among patients and to motivate the actions of professional hygiene of the oral cavity and the removal of the factors favoring the deposition of dental plaque.
The influence of general diseases on periodontal health
Authors: Porosencova Tatiana , Uncuţa Diana , Porosencov Egor
Published: June 2024

Abstract. The available literature shows an association between systemic disorders and periodontal disease. Together with the benefit of bidirectional treatment, it implies the need for good communication, in addition to the accurate knowledge based on the periosystemic connection. Objective of the study. To highlight the benefits of the multidisciplinary approach between the dental practitioner, physicians and patient itself to ensure bidirectional management of oral and general health. Material and methods. The authors will describe the most common general diseases that affect the status of oral health and will present a clinical case. Results. The use of periodontal diagnostic and screening tools - photographic study, radiological film analysis, recording periodontal clinical parameters in the periodontal chart, multidisciplinary communication that can contribute to the monitoring and management of periodontal diseases. Conclusions. Establishing good communication between dental and general practitioners as well as with the patient is important to promote health and avoid serious complications. This multidisciplinary interaction is essential in clinical counseling, health education and disease prevention.
The Effect of Dutch Eggplant Juice (Solanum Betaceum Cav) on the Prevention of Anemia in Adolescents
Authors: Ferasinta Ferasinta , Zulya Dinata Endah
Published: June 2024

Anemia is a condition where the concentration of red blood cells is below normal. Anemia can be caused by damage to blood cells due to heavy exercise which generally causes a loss of iron (Fe) so that hemoglobin (Hb) levels decrease. This study aims to determine the effect of Dutch eggplant juice in preventing anemia in adolescents. This research uses an experimental method, using a pre-experimental design with a pretest-posttest design. The instrument used in this research is an Hb measuring instrument, then the measurement results are observed. The results of the research show that there is an effect of giving tamarillo juice before and after with p-value = 0.000 (a<0.05). For further research, you can add comparative variables such as giving dragon fruit juice.
The Growth and Yield of Upland Rice (Oryza sativa L.) Applied by Rice Husk Zeolite and Potassium Fertilizer
Authors: Nelvia Nelvia , Idwar Idwar , Zulfatri Zulfatri , Winri Desra
Published: June 2024

The productivity of upland rice on sub-optimal land such as Ultisol is low. Increasing rice productivity can be attempted, for example, by applying rice husk zeolite and K fertilizer. This research aims to study the interaction of rice husk zeolite with K fertilizer on the growth and yield of upland rice on Ultisol. The research was conducted at the Soil and Greenhouse Laboratory, Faculty of Agriculture, University of Riau, from June to October 2022. The research was conducted experimentally in a factorial with a completely randomized design (CRD). The first factor was rice husk zeolite consisting of 3 levels (0, 200, and 400 kg ha-1), and the second factor was K fertilizer consisting of 3 levels (0, 50, and 100 kg K2O ha-1), each interaction repeated three times. The results showed that the combination value of rice husk zeolite at a dose of 200 kg ha-1 with K fertilizer at a dose of 50 kg K2O ha-1 increased the number of healthy grains per panicle by 21%, the proportion of healthy grain by 14% and the weight of dry milled grain by 32.25% compared to without rice husk zeolite and K fertilizer.
Estimating hazard functions in the presence of double truncation in statistical data analysis
Authors: Bay Roumaissa El , Yahia Djabrane
Published: June 2024

The motivation for studying the incompletely observed doubly truncated data arises from its prevalence in various fields such as actuarial science, engineering and astronomy. For example, in medical research the analysis of AIDS data and that of childhood cancer remains two of significant challenge for the worldwide, in these cases, only patients infected during a specific period who subsequently developed the disease are studied. Thus, the age at diagnosis is doubly truncated. In this paper, we’ll provide tow smooth estimators of the cumulative distribution function and that of hazard function under doubly truncated data. Also, we’ll conduct both numerical and theoretical comparisons between our proposed estimators and other existing estimators. A simulation study is carried out to examine the bias and root mean square error of the proposed estimators. Furthermore, an application to a real childhood cancer data set, is presented to demonstrate that our newly estimator fits better than known existing estimators.
Ruído e vibração ocupacional, o conforto acústico em uma central de material esterilizado, um estudo de caso
Authors: Silva Davi Avelino da , Moro Antônio Renato Pereira
Published: June 2024

Os riscos no ambiente laboral podem causar danos à saúde e à integridade física do trabalhador devido à sua natureza, suscetibilidade, intensidade, tempo de exposição e concentração. O presente estudo de caso relaciona as queixas dos trabalhores em um expugo de uma Central de Material Esterelizado (CME) com as medições quantitativas de ruído e vibração, focado na principal fonte geradora dos riscos. A metodologia utilizada foi as avaliações quantitativas através de dosimetro de ruído e vibração, com a metodologia descrita nas Normas Regulamentadoras 9 e 15 do Ministério do Trabalho. Devido a necessidade de se estudar a possibilidade da existência, a médio e a longo przo de uma doeçna Ocupacional denominda Perda Auditiva Induzida por Ruído (PAIR) entre os trabalhadores que laboram no Setor referenciado, levando-se em conta que o Setor conta com um Servidor portador de perda auditiva completa, que faz uso de implante coclear, foi elaborado o presente estudo de caso que levou em cdonsideração a atividade na pior situação durante uma swemana completa, analisando o rodízio das atividades. Os resultados demonstraram a prevalência do ruído ocupacional acima dos limites de tolerância regulamentandos por Norma Rgulamentadora vigente e a vibração ocupacional em limite abaixo do limite de tolerância regulamentado, quando do uso da pistola de ar comprimido, sendo este o equipamento que produz o maior volume de ruído durante a ativiade no Setor. O período em que os ruídos ocupacionais estão acima do limite de tolerância coincide com o período em que o uso da pistola de ar comprimido para secagem dos utensílios cirúrgicos é utilizada.
Potential Advantages and Disadvantages of Case Study as Methodological Approach in Streetscape Research
Authors: Sabono Ferdy , Widiastuti Indah , Sudradjat Iwan
Published: June 2024

In recent decades, streetscape research has advanced quickly in tandem with societal understanding of the impact of urban environmental quality on aesthetic satisfaction and urban dwellers' well-being. The case study method is one of the methodological approaches that has grown in popularity in streetscape research. However, no researchers have yet conducted a comprehensive investigation into the efficacy of case studies when used in streetscape research. Based on the experiences and findings of other researchers using case studies as their research design, this study explores the potential advantages and drawbacks of using case studies in streetscape research. The study uses the systematic literature review method to collect and analyze past relevant streetscape research findings to identify the potential advantages and disadvantages researchers may face when doing their streetscape research, which comprises several stages, namely case selection, development of a theoretical framework, data gathering, data analysis, discussion, and conclusion. The research findings have shown that the case study approach can result in in-depth studies by creating a well-defined research protocol that aligns with the particular environmental situation under examination. However, adopting technology in streetscape research can pose difficulties and limitations for researchers, such as the challenge of accessing advanced technology and mastering the complexity of analytical tools with intricate requirements.
Türk Kurtuluş Savaşı Anıt ve Müze Gemileri
Authors: Özbey Veysel
Published: June 2024

Birinci Dünya Savaşı’nın ardından işgal edilmeye başlayan Türk topraklarını savunmak adına halk önemli bir savunma başlatmış, batısı, doğusu, güneyi işgal güçleri ile çevrilen ve tüm yolları tutulan Anadolu’da ulaşımın can damarı olarak yalnızca Karadeniz kalmıştır. Donanması enterne edilen Osmanlı Devleti’nin deniz araçları Haliç’e hapsedilmiştir. Türk direniş hareketi, işgal altındaki İstanbul’dan kaçırılan askerî gemilere, el konulan ve gönüllü sivil deniz araçları ve ele geçirilen yabancı bandıralı askerî ve sivil gemileri de ekleyerek ufak çaplı bir deniz kuvveti oluşturmayı başarmıştır. Bu sayede hareket, karadaki cephelere Karadeniz üzerinden Rusya limanlarından gelen Rus ve Alman yardımlarının Anadolu’ya ulaştırılmasını, Anadolu içerisindeki ulaşımı ve Doğu Cephesi’nden Batı Cephesi’ne sevkiyat faaliyetlerini aksatmadan sürdürmeyi başarmıştır. Türk ulusu, 21. yüzyılda Millî Mücadele yıllarında yaşanan bu zorlu süreci yâd etmek üzere Türk Kurtuluş Savaşı’nda hizmet vermiş olan gemilerden bir bölümünü birer kültürel miras olarak koruma altına alarak müze işlevi ile ziyarete açmıştır. Çalışma kapsamında, Türk Kurtuluş Savaşı’na dair ulusal kimlik ve kolektif hafızanın birer parçası olarak hizmet veren anıt ve müze gemiler incelenmiş, Millî Mücadele’ye hizmet veren deniz araçları filosu içerisindeki sayısal yeterlilikleri sorgulanmıştır. Yaşatılmaya değer daha fazla sayıda tematik gemi olduğu sonucuna varılmıştır.
Personel Güçlendirme: Türk Silahlı Kuvvetleri Üzerine Nitel Bir Araştırma
Authors: Doğan Aysun , Gürbüz Suat , Varoğlu Abdülkadir
Published: June 2024

Personel güçlendirme hem bireye hem de örgüte sağladığı olumlu sonuçlardan dolayı örgütler tarafından önemsenen yönetim uygulamalarından biridir. Bu bağlamda araştırmanın amacı Türk Silahlı Kuvvetlerinde personel güçlendirmede ne tür yönetim uygulamaları olduğunu ve neler yapılabileceğini ortaya koymaktır. Araştırmada nitel araştırma yöntemi ve olgu bilim araştırma deseni kullanılmıştır. Araştırmanın örneklemini amaçlı örnekleme yöntemiyle Türk Silahlı Kuvvetlerinden emekli olan ve hâlihazırda akademisyen olarak görev yapan 10 katılımcı oluşturmuştur. Araştırma verileri araştırmacılar tarafından hazırlanan yarı yapılandırılmış mülakat formları ile toplanmıştır. Mülakat formu demografik bilgiler ve araştırma soruları olmak üzere iki bölümden oluşmaktadır. Mülakatlar yüz yüze yapılmıştır ve ortalama 25-30 dakika sürmüştür. Araştırma verilerinin değerlendirilmesinde MAX-QDA nitel analiz programında kod ve alt kodlar oluşturularak içerik analizi yapılmıştır. Veriler güçlendiriciler, engelleyiciler, gereksinimler ve öneriler olmak üzere 4 ana kod ve bu kodlar altında oluşturulan toplam 20 alt kod ile kategorize edilmiştir. Bu araştırmayla yöneticilerin liderlik, iletişim, kıta-akademi entegrasyonunu sağlama konusundaki yetkinliklerinin geliştirilmesinin personel güçlendirmenin odak noktası olduğu tespit edilmiştir. Bu doğrultuda farklı kademelerdeki personel için gereksinime yönelik ve etkileşimli eğitimlerin planlanması, uygulanması ve devam ettirilmesinin personel güçlendirmeye katkı sağlayacağı düşünülmektedir.
Predictive Analytics and Macroeconomic Influence: A Detailed Exploration of the Toronto Housing Market Dynamics
Authors: Yu Beiming , Zhou Shenyu
Published: June 2024

The housing market, serving as a pivotal entity in economic matrices, inherently exhibits a particular complexity. This research sets foot into a comprehensive investigation of the Toronto housing market, unraveling its intertwining associations with macroeconomic variables while attempting to predict future trends based on such exploration. Backed by a robust data set from January 2011 to July 2023 of the Canadian economy, this study employs correlation models (Spearman and Pearson) and ARIMA to generalize and perform housing price predictions. Preliminary findings via correlation analysis signal a substantial linkage between housing prices and macroeconomic indexes of GDP, employment, and exchange rates. The ARIMA model application, underscored by a p-value of approximately 0.042 from the Ljung-Box test, provides a valid, future price estimation. In the intrinsic puzzle of the housing market, this research offers an alternative understanding from a macroscopic lens. This research, while showcasing predictive prowess, also stands as a testament to the multifaceted nature of the housing market and advocates for the ongoing refinement and diversification of predictive models in navigating its complexities.
Air Quality Assessment and Pollution Mitigation Strategies in Beijing: A Comprehensive Study on PM2.5 Trends, Influencing Factors, and Case Studies
Authors: Shen Yuchen
Published: June 2024

Air quality, in cities is a concern because it directly affects people’s health and the environment. This study explores the dynamics of pollution in urban areas focusing on Beijing as a case example. PM2.5 refers to particles smaller than 2.5 micrometers that're a significant air pollutant with harmful health effects. The study starts by examining data and trends of PM2.5 levels in Beijing shedding light on the factors that have influenced its concentrations over time. It also investigates the methods used to collect data, analyze trends and make predictions about patterns. Additionally, the research looks into factors that impact concentrations in cities, such as weather conditions, geography and human activities emphasizing how urbanization, transportation systems, government policies and public awareness contribute to either worsening or reducing PM2.5 pollution levels. By drawing insights from case studies like Beijings "Coal to Gas" Conversion Program and smog reduction efforts in Los Angeles the paper emphasizes the significance of policies and international cooperation, in tackling pollution.
A Gaussian process regression model based on Bootstrap
Authors: Zeng Yong
Published: June 2024

Gaussian process regression is a commonly used non-parametric regression model for the analysis of high-dimensional data. However, due to the complexity of the data fitting curve, the model may be overfitting or underfitting. Based on this, this paper proposes a Gaussian process regression model based on the Bootstrap method (BGP method) to alleviate the overfitting or underfitting phenomenon of a single Gaussian process regression model. Specifically, on the one hand, the proposed method can balance the training error and test error of the prediction model, and make the model have high robustness while reducing the fluctuation level of the estimator. On the other hand, the method uses the weighted variance of the posteriori distribution to give the response variable an uncertainty measure. A large number of simulation experiments show that the BGP method has the best accuracy and robustness compared with several commonly used regression methods, such as LASSO regression, nonlinear support vector machine regression, decision tree regression and random forest regression. Finally, the empirical analysis results on the meat dataset with ultra-high-dimensional characteristics show that the BGP method still has high applicability for high-dimensional data scenarios. In addition, the BGP model can be further extended to the development of kernel types and hyperparameter determination strategies.
Electrochemistry of Metal-CO2 Batteries: Principles and Applications
Authors: Dong Yu
Published: June 2024

Overuse of non-renewable energy sources has raised fears about an energy deficit throughout the world. In addition, the burning of fossil fuels releases large quantities of greenhouse gases (mainly carbon dioxide (CO2)) leading to serious environmental problems, particularly global warming. Metal-carbon dioxide batteries, which can capture and resourcefully utilize CO2, are of great research significance. This article explores the importance of developing Metal-CO2 batteries and their positive impact on the environment by introducing three Metal-CO2 batteries. By describing the advantages that Metal-CO2 batteries can offer in two locations, Earth and Mars, this article explores the prospects for their application in energy storage and transportation power. Among the three kinds of Metal-CO2 batteries mentioned in this paper, Li-CO2 batteries have high theoretical specific capacity, but the residual discharge product Li2CO3 will increase the polarization of the batteries by blocking the transport channels, which limits the cycle efficiency of the batteries. Na-CO2 batteries perform electrochemically better than Li-CO2 batteries, but the raw material Na is mainly prepared by electrolysis of molten sodium chloride or sodium hydroxide, which causes large energy consumption and environmental pollution. The raw material of Al-CO2 battery is cheap and easy to obtain, but the specific power of the battery is low. All three types of batteries have the common problems of unclear reaction mechanisms and low charging and discharging efficiencies, and each faces different challenges that need to be investigated. This paper provides ideas for further research on Metal-CO2 batteries, and we hope that Metal-CO2 batteries can be really put into use in the future to alleviate the energy shortage and greenhouse effect to a certain extent.
Advances in Research on Positive and Negative Electrodes of Lithium-ion Batteries
Authors: Yan Ziqian
Published: June 2024

In recent years, the new energy vehicle industry has boomed, and the demand for lithium-ion batteries has increased. However, the performance of lithium-ion batteries fails to meet the ultra-high demand for supplying automobiles for long-distance driving. This paper provides an in-depth discussion on the performance of lithium-ion batteries from the perspective of positive and negative electrode materials, respectively, with a detailed overview of the cell structure, material advantages and disadvantages, preparation conditions, and methods to enhance performance. Lithium manganate is inexpensive and rich in mineral resources, but its structure is unstable. Lithium iron phosphate is chemically stable, but its efficiency is low. Ternary anode material has high specific capacity, but its structure is unstable. Carbon anode is chemically stable, but its specific capacity is low. Silicon anode has excellent specific capacity, but due to its chemical properties, its battery life is extremely short. The pursuit of power supply, range, and safety in new energy vehicles is the goal of lithium-ion battery development at this stage. This paper provides a reference for understanding the structure of lithium-ion batteries and provides a macro idea for the sustainable development of the new energy industry.
HCCI Technology: Operating Principles, Advantages, Challenges, and Future Prospects
Authors: Zhou Weimin
Published: June 2024

In recent years, with the development and research on internal combustion engines, human beings have gained a deeper understanding of the combustion mechanisms and properties of traditional spark ignition (SI) and compression ignition (CI) engines. It has also been discovered that these two distinct types of engines each have their advantages and drawbacks. This is why there has been a growing emphasis on the research and experimental analysis of homogeneous charge compression ignition (HCCI) engines in recent times. This is because achieving high thermal efficiency while maintaining extremely low hydrocarbon (HC) and carbon monoxide (CO) emissions positions it as one of the potential engine technologies to address recent environmental and energy challenges. The article also discusses the difference in emissions when using different fuels for HCCI engines, such as diesel, petrol, and liquefied petroleum gas. Meanwhile, the last part concludes with a description of a stationary application that employs HCCI technology for power generation. This article will introduce the working principles of HCCI engines, the advantages and disadvantages of the HCCI process, and some solutions to its drawbacks. At the end, an application of HCCI technology for power generation and its related information will be presented.
Simulation Research on Ammonia-Hydrogen Mixed Combustion Engine
Authors: Zhao Hanqing
Published: June 2024

To achieve low carbon emissions throughout the entire lifecycle, including preparation, storage, transportation, and use, hydrogen(H2) and ammonia(NH3) energy represent effective solutions to address significant challenges in energy development. Hydrogen stands out as a promising carbon-free energy carrier due to its calorific value, which is roughly three times that of gasoline or diesel. However, hydrogen's high flammability, high diffusivity, and low liquefaction temperature limit its broad application in engines. Ammonia, on the other hand, serves as a hydrogen-rich energy carrier with a volumetric energy density three times that of hydrogen, offering a viable solution to mitigate the drawbacks of hydrogen energy in engines. Nevertheless, ammonia's laminar flame speed is relatively slow, about one-fifth that of gasoline, and it is not easy to ignite. Combining ammonia and hydrogen in combustion can address issues related to the challenging control of hydrogen combustion and the difficulty of igniting ammonia. The application of ammonia-hydrogen mixed combustion in vehicles involves using ammonia cracking as the hydrogen supply source, which circumvents the problem of hydrogen storage. Utilizing low-carbon and zero-carbon fuels remains the sole path to achieving environmentally friendly and sustainable transportation development. This article focuses on the ammonia-hydrogen mixed combustion model integrated into vehicle engines and explores engine thermal efficiency and emissions across various ammonia-to-hydrogen ratios.
Overcoming Barriers to Energy Access in Developing Countries: Lessons Learned from Household Solar Energy Systems in Bangladesh
Authors: Li Wen
Published: June 2024

In recent years, the focus has intensified on achieving Sustainable Development Goal 7 (SDG 7), which aims to ensure universal access to affordable, reliable, and sustainable modern energy. This dissertation delves into the challenges and opportunities faced by developing nations in pursuing SDG 7, emphasizing its global significance within the context of sustainable development goals. Critical issues such as energy poverty, unreliable energy supplies, and governance barriers are identified, highlighting the essential role of modern energy in fostering social equity, economic growth, and environmental protection. Through an in-depth analysis of successful solar home system implementation in Bangladesh, this research provides concrete examples of how governments, community engagement, and technological innovation can overcome these challenges. Sustainable energy solutions lead to improved access, reduced environmental pollution, and socio-economic development. In conclusion, collaborative efforts among governments, international organizations, and civil society are paramount for SDG 7 achievement. Strategies to overcome obstacles, including policy innovation, technology advancement, financial support, capacity building, and international cooperation, are outlined. This research informs policymaking, societal awareness, and research in sustainable energy, contributing to a broader understanding of how developing countries can address energy challenges and highlighting the importance of sustainable energy for global progress and well-being.
Toward the Daily Sense of Referential and Meaning: Russell's Denoting Theory Revisited
Authors: Song Jiaqi
Published: June 2024

Russell's theory of descriptions was initially inspired by Frege's exploration of the significance of searching for the denotation of statements in his published paper Sense and Reference. In order to resolve the classic existential paradox - whether a propositional subject is still meaningful when it has no counterpart in the real world - Russell's theory of descriptions was proposed to provide a unique perspective and a solution using facsimiles to address such problems. In this article, we will explain how Russell's theory of facsimiles may be meaningfully applied to a relevant discussion of everyday occurrences and situations by using the fundamental notions offered in his theory. The first question that has to be answered is whether or not Russell's theory is successful in bridging the gap between fictional aspects and the subject of interpreting language used in daily life. This investigation makes an effort to shed light on this topic while also illuminating the wider link that exists between language, reference and meaning.