bluuebunny/crossref_metadata_2025 huggingface dataset:
Repression, Permeation, and Circulation: Retracing and Reframing Danmei Culture Online in Mainland China
Authors: Ge Longlong
Published: September 2024

Danmei (耽美), which is also called ‘boy’s love’ (abbreviated as BL), refers to fantasy textual stories depicting gay male romantic relationships (McLelland and Aoyama, 2015). The rapid proliferation of this popular culture has triggered scholars to reflect on the ‘queer culture’ in which it is represented. This article aims to explore the intrinsic connection between Chinese danmei culture and Chinese queer culture in digital media. By adopting the research method of media archaeology and culture materialism, I will map the development of danmei culture in mainland China into three periods: repression period (1994-2003) when the state authority compelled danmei and queer culture to find shelter in virtual cyberspace; permeation period (2003-2016) when queer culture reshaped danmei culture, and the former two generate multiple forms of expression on the internet; and circulation period (2016-2021) when digital media industrialised danmei culture. Then, a cultural framework, ‘queer-danmei-media’ will be proposed, in reference to the interaction of ‘affect-body-world’ described by Melissa Gregg, Gregory J. Seigworth, and Lisa Blackman, to reinforce the social and political functions of danmei and transfer it from generalised pop culture towards the cultural representation and campaign position of queerness and feminism.
Between Refusal and Refuge. Queer Feminist Bookstore Savannah Bay
Authors: van der Beek Suzanne , Koekoek Catherine
Published: September 2024

Feminist bookstores have played an important role in the creation of feminist spaces since the end of the 20th century. In the Netherlands, Savannah Bay is one of the last remaining in a previous network of feminist bookstores. This article explores how the bookstore manages to uphold its function as a feminist space while operating in relative isolation. The data used for this analysis consists of a series of interviews with volunteers working at Savannah Bay. This data is analysed via Bonnie Honig’s Feminist Theory of Refusal (2021), which connects three forms of feminist resistance within one arc of feminist refusal. Crucial to this arc is the circular movement where the women first leave the city, then organise a new way of living, and then return to the city to implement their ideas. By reading the experiences of Savannah Bay volunteers via Honig’s theory of refusal, this article analyses how the bookstore manages to uphold a feminist space while being embedded in a predominantly patriarchal public sphere. It demonstrates the complex ways in which Savannah Bay continuously negotiates its relationship to the customers and volunteers it caters for on the one hand, and a patriarchal public sphere which it seeks to reform on the other hand. Additionally, this reading extends and nuances Honig’s theoretical approach by relating it to empirical data, which raises questions about the conditions for fulfilling Honig’s feminist arc of refusal, and about the relations between the various moments on the arc.
Feminist Institutionalism in South Africa: Designing for Gender Equality
Authors: Bohler-Muller Narnia
Published: September 2024

Review of the book Feminist Institutionalism in South Africa: Designing for Gender Equality, edited by Amanda Gouws.
Global Cyber Norms Subsidiarity (UN GGE and UN OEWG) within ASEAN’s Body
Authors: Cloramidine Feline , Wibisono Ali Abdullah
Published: September 2024

In the context of cybersecurity, ASEAN plays an important role as a normative extension that carries out norm subsidiarity of UN global cyber norms generated from UN GGE and UN OEWG processes. The subsidiarity of norms promoted by ASEAN serves to place any kind of global issues and global interest at the regional level, as well as regional issues and regional interest at the global level. This paper focuses on the implications of ASEAN as a regional institution in the context of cyber norm subsidiarity toward UN global cyber norms. This paper utilizes Acharya’s norm subsidiarity to explain how ASEAN performs a norm subsidiarity of UN’s cybersecurity norms. We argue that ASEAN’s norm subsidiarity role is possible due to the fact that the UN’s cybersecurity norms to regulate the responsible state behavior in cyberspace from the UN GGE and UN OEWG process were symmetrical to ASEAN Way’s emphasis on prioritization member states’ sovereignty and non-intervention principles. Furthermore, this article finds that the implication of ASEAN’s norm subsidiarity to the region’s own cybersecurity accomplishment is still unidentifiable. This article also finds that there are many factors affecting the process of norm subsidiarity in ASEAN, such as the heterogeneity within the institution and the lack of political will of the member states.
Behavior prediction of reinforced concrete beams shear strengthened with CFRP
Authors: Borges Soares Palloma , Manica Lazzari Paula , Campos Filho Américo , Manica Lazzari Bruna
Published: September 2024

This work presents the computational modeling of reinforced concrete beams, strengthened to shear with carbon fiber-reinforced polymers (CFRP), using the finite element method (FEM) and the customized ANSYS software, version 19.2. It is important to emphasize that contact elements and bilinear cohesive zone models provided by ANSYS were used to model the concrete-reinforcement interface. These models were used to identify the modes of premature failure caused by the debonding of the reinforcement, which causes poor use of the CFRP's resistance properties. The structural elements used in this analysis were twelve simply supported reinforced concrete beams, without and with shear reinforcement using CFRP, which were experimentally tested by Khalifa (1999). From the analysis of the results, it was observed that the developed numerical models were able to accurately predict the behavior of the simulated beams, both in terms of load-displacement, as well as the load and rupture mode of the beams.
Fundamentally understanding carbonation-induced corrosion of steel in environmentally friendly concretes
Authors: Albert Cristhiana , Mundra Shishir , Isgor O. Burkan , Angst Ueli
Published: September 2024

Reducing greenhouse gas emissions in concrete production is crucial to achieve sustainability goals. One of the primary solutions is employing environmentally friendly cements with lower clinker content, such as those containing supplementary cementitious materials. However, concretes produced with some of these cements are vulnerable to fast carbonation, which raises durability concerns regarding corrosion of the steel reinforcement. While traditional approaches focus on preventing concrete carbonation and corrosion initiation, evidence shows that corrosion rates of steel in carbonated concrete do not necessarily compromise durability. In this context, the fundamental understanding of the kinetics of carbonation-induced corrosion must be improved, considering the role of the concrete pore solution, pore structure, and moisture content, as discussed in this paper. Open questions and promising approaches to clarify them are also discussed. Based on this knowledge, corrosion propagation can be properly included in the service life design of reinforced concrete structures, reconciling the goals for both sustainable and durable structures.
Guest Editorial: What Engineers Should Know About the Expanding Generative AI Toolkit
Authors: Goodwin Alex , Nguyen Alex
Published: September 2024

Generative artificial intelligence (AI) is the art of creating new things inspired by the old.

To understand what generative AI does, ask yourself what you would do if you wanted to create a new hit song.

You wouldn't want to start from scratch. Instead, you'd listen to 100 popular songs, analyze the rhythms, melodies, and chord progressions.

You would learn how these elements are structured and combined. Then, with this knowledge you would use your creativity to mix and match them in new and exciting ways—resulting in a fresh, original song that may be the next big hit.

That's essentially what generative AI does.

It devours massive amounts of training data, whether it's music, images, text, or scientific data. It learns the underlying patterns and relationships within that data. Then, it uses this knowledge to generate entirely new content that shares characteristics with the training data, but with a unique twist.

Generative AI operates like a master mimic, following a three-step process to create entirely new content.

1. Find the building blocks.

As mentioned, generative AI begins by analyzing vast amounts of training data. The goal is to identify the underlying building blocks and structures that define the data. For example, different rooms in a house contain different objects—kitchens have different items than bedrooms. Think of it like understanding the grammar of a language or the architectural styles that make up different cityscapes. For example, generative AI trained on cat images would learn to recognize distinct features like ears, whiskers, and fur patterns.

2. Decipher the unwritten rules.

Next, it calculates the conditional probability distribution of these structures. In other words, it finds the order and relationship between various structures and the building blocks. Imagine that kitchen again. We know that knives are more likely to be found near cutting boards than, say, pillows, and that a sofa is typically found in front of a TV in the living room. Generative AI quantifies such relationships which allows it to then understand the underlying rules of how likely certain elements are to co-occur and in what order.

3. Perform a bold and creative remix.

Finally, armed with this knowledge of building blocks and the rules of their order and structure, generative AI can create entirely new samples. It combines the learned structures and their conditional probabilities in novel ways, producing something entirely new yet rooted in the representations extracted from the training data. This could be a photorealistic image of a cat with unique markings, a catchy song inspired by popular hits, or even a compelling scientific hypothesis based on existing research.
Approach Uses Multidisciplinary Constraints for Automatic Well-Path Generation
Authors: Carpenter Chris
Published: September 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 215021, “A New Paradigm for Automatic Well-Path Generation Using Multidisciplinary Constraints,” by Eric Cayeux, SPE, Gilles Pelfrene, SPE, and Rodica G. Mihai, SPE, NORCE, et al. The paper has not been peer reviewed.

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Because of the multidisciplinary nature of the well-planning process, many iterations are necessary to generate a well path. This is a time-consuming process that finally leads to planned trajectories that may be suboptimal. Departing from the traditional incremental approach to well-path generation, the method proposed in the complete paper relies on the collection of experienced-based constraints from each discipline to generate possible alternatives to the well path. As a result of this new process, the multidisciplinary team can focus on the relevance of the constraints rather than on the details of the planned trajectory.

Constraint-Based Well-Path Design

To better capture the decisions during the well-path-planning process and their motivation, a constraint-based design is proposed. Typical constraints that can be included in such an approach are geological, geomechanical, operational, economic, time-related, technical, social, and environmental. The complete paper focuses on geometrical constraints and aspects related to their influence on well-path design.

Target and Target-Group Constraints

Definition.

A target is a complex concept with no standard definition across the industry or within companies themselves. In the proposed approach, the target is defined as a set of geometrical constraints to be met, each referring to a target body. It differs from the standard approach in that it does not discriminate between target bodies to reach (such as points or target axes), which can be called attractors, and those to avoid (such as faults or vertical walls of lease lines), which can be called repellors. The distinction is particularly relevant when the well-path-generation algorithm can process the set of constraints globally, thus providing an ensemble of solutions that inherently meet all constraints.
Technology Focus: Offshore Facilities (September 2024)
Authors: Karre Avinash
Published: September 2024

Offshore wind power involves generating electricity from wind farms located at sea. Because wind speeds are generally higher offshore than on land, these farms produce more electricity for the same amount of installed capacity. Both wind and solar energy are renewable and do not emit carbon, which helps reduce dependence on fossil fuels such as oil and gas. The papers synopsized in this year’s Offshore Facilities feature cover a breadth of related subjects that will be critical to the future of the industry.

Automation in the offshore oil and gas industry makes production safer, faster, and more efficient. It reduces human error, improves quality control, and allows real-time monitoring of operations.

Machine learning improves offshore industries by enhancing safety, efficiency, and sustainability It tracks and predicts environmental changes, such as oil spills or marine life patterns, aiding in better environmental management and response.

Remotely operated vehicles are used in offshore operations to inspect, maintain, and repair underwater infrastructure; the offshore industry uses 3D video imaging technology to provide detailed real-time images of the underwater environment.

Corrosion in offshore environments occurs because of factors such as seawater, sea salts, temperature, salinity, and moisture. It is crucial to monitor corrosion because it can lead to major structural failures.

Hydrogen can be produced offshore using renewable energy sources such as wind and solar, which do not emit greenhouse gases and help combat climate change.

Supply-chain logistics boost efficiency by cutting costs, removing unnecessary steps, and speeding up product delivery. An efficient supply chain can lead to higher revenue, lower operational costs, and better overall performance.

Decommissioning is the final stage of an oil or gas project and involves significant technical, economic, social, and environmental challenges. It is a lengthy, costly, and complex process that must be carefully planned and managed to avoid serious problems. Several ideas have come to the surface that show innovative ways to repurpose a decommissioned platform or ways to cut the cost of decommissioning.

Recommended additional reading at OnePetro: www.onepetro.org.

SPE 217706 Dynamic Simulation of Riser-Gas Handling With a Fixed-Choke Constant Outflow by Zhaoguang Yuan, SLB, et al.

OTC 35092 Reducing Carbon Footprint by Using Fiber-Reinforced Polymers in FPSOs by S. Eves, NOV, et al.

OTC 35393 Challenges and Approaches to Solutions for Green Decommissioning and Recycling of Offshore Facilities by Carlos Alberto Machado, American Bureau of Shipping, et al.
Robotic Technology Enables Automated Nondestructive Weld Inspection in Subsea Zone
Authors: Carpenter Chris
Published: September 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 215588, “Automated Nondestructive Weld Inspection in Splash/Subsea Zone,” by Karsten Husby, Magnus Bjerkeng, and Jens T. Thieleman, SINTEF, et al. The paper has not been peer reviewed.

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Jacket structures all over the world are now reaching the limit of their estimated service life, but new discoveries and improved production methods require lifetime extension of the assets. The complete paper presents an automated underwater robot and a nondestructive testing (NDT) eddy-current probe for alternating-current field-measurement analysis of jacket main welds. This robot makes integrity testing, which often is required for lifetime extensions, possible.

Introduction

Jacket lifetime calculations are based on long service intervals. Some welded braces in the splash zone often are considered unserviceable because of the hostile environment. Thus, divers or remotely operated vehicles cannot be used under normal weather conditions and wave heights. Structural integrity is ensured with long service intervals, often long enough for the lifetime of the jacket. However, multiple jacket platforms are approaching their certified lifespan limit. The question, then, is whether they should be decommissioned, reused, or have their lifespan extended.

New discoveries and improved production methods make extended operation desirable for certain fields. For other platforms, repurposing for offshore wind, aquaculture, or geothermal energy may be a cost-effective alternative. Regardless, before any action can be taken, the integrity of the jackets must be tested. There is, therefore, a growing need for subsea condition monitoring of aging offshore jacket steel platforms.

To speed up operations and to handle complicated health, safety, and environment (HSE) issues in the splash zone, robots can be used. A robot for NDT inspection in the hostile splash zone is pictured in Fig. 1. The robot clamps itself to the circular braces and is equipped with 3D vision camera, kinematics algorithms, and an NDT probe.

Integrity Testing Under Rough Conditions

Testing for integrity of critical infrastructure often is performed by different NDT methods. In this study, eddy-current testing was chosen as the preferred method because it is fast and can penetrate layers of marine growth on the surface. The normal procedure is to use lightweight hand-held equipment. The splash zone, however, is often inaccessible under modern HSE standards. In this project, an automated NDT robot helped conduct efficient NDT testing for longer periods in challenging conditions. This robot offloads the NDT operator and makes testing more efficient.
The Importance of Stakeholder Involvement in Promoting the Cherchell Aqueducts as Tourist Attractions: Current Situation and Prospects
Authors: Chennaoui Youcef
Published: September 2024

The Roman aqueducts in Cherchell, built in the second century AD, are a remarkable engineering achievement that spans over 130 kilometers and has historical significance. Today, the aqueducts have five easily accessible bridges. However, there is a lack of coordination among stakeholders involved in managing the cultural heritage in Cherchell.
The 2014 strategic plan aimed to safeguard and enhance archaeological monuments and historic buildings by promoting and advertising the Cherchell aqueducts. The Protection and Enhancement Plan for Archaeological Sites with their protected zones (PPMVSAZP) focuses on tackling tourism through various measures and attributes.
Two methodological techniques were used for this case study: Researching accounting values through design (RtD) and the Historic Urban Landscape (HUL) approach. Consulting examples of Gallo-Roman aqueducts in France allowed for a critical comparison of strategies required for managing development projects with all stakeholders.
The main focus of this paper is to establish a critical analysis of the current situation by situating dysfunctions in the collaborative relationships between different stakeholders. The paper aims to emphasize how stakeholders, community organizations, and professionals can work together to designate, enhance, and manage the case study, proposing an efficient collaborative assessment as a potential opportunity for the future.
Investigating AI's Role in Enhancing Multi-Sensory Experiences in Public Spaces
Authors: Hanna Imad , Parvaresh Poupak
Published: September 2024

This research paper investigated the integration of Artificial Intelligence (AI) in public spaces, focusing on enhancing multi-sensory experiences that augment psychological comfort and foster social interactions. AI's revolutionary application in public environments, from smart city initiatives to interactive art displays, transforms these spaces into dynamic, responsive environments that adapt to human needs and presence. This study examines how AI can significantly enhance the sensory richness of public spaces in Dubai, UAE, making them more engaging, accessible, and efficient. It reflects a profound understanding of user behaviors and needs. Employing a structured survey to investigate the public's views on AI's influence on city life, the expected outcomes included a deeper understanding of how immersive environments altered human multi-sensory experiences in Dubai public spaces. The paper highlights the importance of multi-sensory experiences in public spaces, where interactions through touch, sight, sound, and scent contribute to a sense of belonging, enhance well-being, and strengthen community bonds. It argues for a human-centric design that prioritizes multi-sensory engagement, offering insights into how AI integration can further enrich these experiences, making public spaces more adaptable and sensitive to users' requirements. The findings of this research will enrich the existing body of knowledge in the professional field of architecture and urban design. It will present practical insights for architects and designers to develop innovative spatial designs that promote the multi-sensory experience of the users in public spaces.
A Comprehensive Survey of Push Recovery Techniques for Standing and Walking Bipedal Robots
Authors: Altameemi Ibrahim
Published: September 2024

من المتوقع للروبوتات ذات القدمين ان يكون لها دور فعال في حياتنا اليومية وايضا الدخول في المجلات الصناعية والطبية وان يكون لها دور في عملية البحث والانقاذ التي تتم في اماكن خطرة على البشر. من اهم العوائق التي تواجه هذا النوع من الروبوتات هو قدرتها على ان تبقى متوازنة ومستقرة في حالة وجود مؤثرات خارجية كالارض الغير مستوية او تعرضها الى اصطدام مع البيئة المحيطة وهذا مايعيق قدرتها على التفاعل مع المحيط. لذلك من الضروري جدا تصيميم انظمة سيطرة فعالة قادرة على مساعدة هذه الروبوتات بان تبقى متوازنة اثناء تفاعلها مع البيئة المحيطة. هذه الدراسة تقدم مراجعة ادبية للبحوث السابقة الي عملت على فكرة ابقاء الروبوتات ذات القدمين مستقرة عندما تكون واقفة او متحركة (المشي) واثناء وجود قوة خارجية تحاول ان تجعل الروبوتات غير متوازنة. بالاضافة الى ذلك، هذه الورقة تقدم تصنيف واضح للدراسات السابقة بالاعتماد على ثلاثة معايير(التمثيل الرياضي للروبوت والطريقة المستخدمة للسيطرة والمتحسسات المطلوبة). هذا التصنيف سوف يساعد الباحثين على فهم وتحليل الطرق المستخدمة بطريقة سريعة وفعالة.
Determination of The Optimum Conditions for Urease Extraction from Chickpea Seeds Using (Design Expert Software)
Authors: S. Kurdi Sarah , J. M-Ridha Mohanad
Published: September 2024

الخلاصة
هدفت هذه الدراسة الى التحقق من منهجيه سطح الاستجابة (RSM)لتقيم الظروف المثلى لاستخلاص انزيم اليوريز من مصدر نباتي وتقيم خواصه الكيموحيوية حيث تم اختيار بذور الحمص كمصدر لانزيم اليوريز. اظهرت النتائج ان بذور الحمص امتلك اعلى فعالية انزيمه 3.99 وحدة /ملغم بروتين عند افضل الظروف استخلاص على التوالي ( برقم هايدروجيني 7.99,تركيز 0.2 مولاري , زمن 60 دقيقه, نسبه 1:13(وزن: حجم).وبين ان البيانات التجريبه هي افضل تركيبها للنموذج متعدد الحدود من المرتبة الثانية مع عامل الارتباط المتوقع (pred. R2  )هو 0.8477,معامل الارتباط المعدل (Adj. R2 )هو 0.9333وقيم الارتباط 0.9665 R2 وهذا يدل على ان النماذج المتوقعة والقيم التجريبية هي في اتفاق جيد.وهذه الطريقة واعده ويمكن الاستفادة منها في المستقبل ,إضافة إلى ذلك ، تحسين فعالية تكلفة هذه الإنزيمات من خلال الإنتاج الضخم ، مما يجعلها خيارًا أكثر جدوى من الناحية الاقتصادية مقارنة بالطرق الأخرى.
Etiological Tracing Test and Drug Efficacy Test in a Case of Clinical Canine Toxic Liver Disease
Authors: Liao Yi , Zhao Xinzhe , Wang Dehai
Published: September 2024

This experiment is divided into three parts. A typical case report of canine toxic liver disease was recorded at the Huazhong Agricultural University Animal Hospital. The etiology tracing test focused on the daily life risk factors that induced the disease. The pathological model of toxic liver disease in mice was successfully established by the administration of household formaldehyde, floor cleaner and chlorine-containing disinfectant tablets. The drug efficacy test was carried out by the administration of self-made traditional Chinese medicine to the model mice, and to observe the therapeutic effect of traditional Chinese medicine prescription on the mice pathological model. It can be concluded that the daily life risk factors should be paid enough attention to in the dog's toxic liver disease. In comparison, within households that own dogs, the toxicity of chlorine-containing disinfectant is low in the normal dilution range, and its liver damage to mice is very light during the test. However, caution should be exercised when using floor cleaners and formaldehyde. Self-made traditional Chinese medicine has a good effect on this type of liver disease, but it should also pay attention to the dose, concentration and usage cycle.
Developing University Students’ Assessment Literacy - Theory and Practice
Authors: Holmes Andrew G. D.
Published: September 2024

Assessment literacy skills are increasingly recognized as being important for student success in higher education. However, as a field of study, it is not well-researched except in the context of language assessment. This paper delves into critical theoretical underpinnings and practical strategies that can be used to develop assessment literacy among university students. Based on a constructivist view, this paper discusses how social interactions and cultural practices interplay to shape students’ conceptual understanding of assessment. It argues that effective assessment literacy embodies understanding the purposes of assessment, interpreting criteria, and using feedback to improve constantly. This means integrating the development of assessment literacy into curriculum design using experiential learning and developing self-regulated learning strategies. The goal is to provide a primer for university educators and instigate reflection and debate on how best to support students when engaging with diverse assessment practices to enhance their academic achievement and skills for lifelong learning.
Catalyzing Development in Agricultural-Based Regions: Exploring the Impact of Business Licensing, Governance, and Public Trust in the Agricultural Logistics
Authors: Saputra Yusuf Jaya , Harafah La Ode Muhammad
Published: September 2024

Various reports state that investment in the ASEAN region has a good future, especially investment in the agricultural sector in general. One of the important instruments in investment is the permits obtained, which are widely reported to influence good governance and the level of public trust in licensing actors. The research aims to reveal the effects of implementing easy permits, and public trust in good governance, by taking cases as the latest research in agricultural-based areas. The research uses a quantitative paradigm, taking cases in Southeast Sulawesi Province, Indonesia. The sample size of 100 people was determined purposively. An important finding that is a scientific contribution is the proof that ease of business licensing can create public trust, and good governance, as well as the public trust that is formed can improve good governance, especially in areas that generally operate in the agricultural sector. The practical consequence is that every government, to absorb investment activities in the future, must strengthen good governance created through ease of doing business and creating public trust.
Efficiency of Enterobacter asburiae and Vermicompost on the Peanut Growth and Yield
Authors: Chuong Nguyen Van
Published: September 2024

The combined use of endophytic nitrogen-fixing bacteria (ENFB) and organic manures is a trend in sustainable agricultural production. To investigate the effect of Enterobacter asburiae (E asburiae) and vermicompost (VCT) on farmland nutrients, yield, quality, and reduce arsenic uptake of peanuts. Three factors, which were: (i) E asburiae (inoculum and no inoculum); (ii) irrigation water (River and underground water); (iii) VCT (0.00 and 10.0 t ha-1), were designed by eight treatments (Trt) and four replications. E asburiae inoculation combined with 10 t VCT ha-1 application and river water (RW) irrigation that both raised soil nutrient properties and traits of peanut agronomy and yield traits, raised significantly fresh seed yield and reduced arsenic (As) absorption of peanut stems and seeds. fresh seed yield of peanut in treatments of E asburiae inoculation, RW irrigation and 10.0 t VCT ha-1, which were higher than non E asburiae inoculation, deep well water (DWW) irrigation and no VCT application, were 24.3, 26.9 and 15.4%, respectively. The peanut As contents in Trt of E asburiae inoculation, RWI and 10.0 t VCT ha-1 were lower than 7.78, 45.3 and 1.92% in stems and 13.2, 78.3 and 9.82% in seeds, respectively, compared to non-E asburiae inoculation, DWW irrigation and no VCT application. E asburiae was found out one potential species to promote soil nutrients, the peanut growth, yield, quality and As resistance, which will be used like biological fertilizers in the future
Dark Matter: Existential Analysis
Authors: Vengavila Devaumitra
Published: September 2024

Abstract: The Existence of Dark Matter has remained a mystery till date due to its elusive nature of its unseen physical form and how the universe is in fact affected by Dark Matter. This research paper hopes to analyze the importance of Dark Matter despite not having direct proof of its existence.
Novel Linguistic Intuitionistic Fuzzy Score and Accuracy functions for Linguistic Intuitionistic Fuzzy TOPSIS Method
Authors: Leonishiya A. , Robinson P. John
Published: September 2024

Abstract: This work proposes various Linguistic Intuitionistic Fuzzy Score and Accuracy functions (LIF-Score and LIFAccuracy), including linguistic degree, membership, non-membership, and hesitancy degree, for Linguistic Intuitionistic Fuzzy Sets (LIFSs) in Multiple Attribute Group Decision Making (MAGDM) problems. The proposed functions are integrated into the Linguistic Intuitionistic Fuzzy-Technique of Order Preference by Similarity to Ideal Solution (LIF-TOPSIS) MAGDM approach to rank the alternatives, and a numerical example demonstrating their use in ranking alternatives is shown in the paper.
Gürcistan’ın Acara Bölgesi ile Doğu Karadeniz Bölgesinde’ki Genel Müzeler Arasında Karşılaştırmalı Bir Değerlendirme
Authors: Aytekin Osman , Özbek Gülcan
Published: September 2024

İnsanın beğeni ve zekâsının ürünü olan eserler, tarihsel süreçte sonraki kuşaklara müzeler ile aktarılmaktadır. Müzelerdeki kültür varlıklarının değerleri olduğu gibi korunmakta, gelecek kuşaklara sunulmaktadır. Acara Bölgesi, coğrafi konumu itibarıyla Anadolu ve Kafkasya arasındaki güzergâhta yer almasından dolayı birçok kültüre ev sahipliği yapmaktadır. Bu kültürlere ait değerler müzeler aracılığı ile gelecek kuşaklara aktarılması müzecilik çalışmalarını, ön plana çıkartmaktadır. Bölgenin tarihsel süreçte, yakın komşu sanat çevresi olan Doğu Karadeniz Bölgesi ile sosyo-kültürel etkileşimi oldukça önemlidir. Bu bilgiler çerçevesinde “Gürcistan’ın Acara Bölgesi’ndeki Acara Devlet Müzesi, Acara Arkeoloji Müzesi ile toplumların kültürleri, müzeler hakkında bilgilere ulaşabilmek, Doğu Karadeniz Bölgesi’nin kültürünün müzeler aracılığı ile karşılaştırmalı değerlendirmesinin yapılması çalışmanın amacını oluşturmaktadır. Çalışmada yöntem kapsamında, Acara bölgesine gidilerek müzeler tespit edilip resmi izinler doğrultusunda fotoğraflar çekilmiştir. Daha sonra Gürcüce kaynaklar transkripsiyonları dahil literatür taraması yapılmış, Doğu Karadeniz Bölgesi’ndeki müzeler hakkında bilgilere ulaşılmıştır. Çalışmada; giriş bölümü, müzenin tanımı, tarihsel gelişimi, Acara Bölgesinin müzecilik faaliyetleri, Devlet Müzeleri ile Doğu Karadeniz Bölgesindeki Giresun Müzesi, Artvin Hopa Etnografya Müzesi, Ordu Müzesi, Trabzon Ayasofya Müzesi, Rize Müzesi ve Bayburt Baksı Müzeleri hakkında bilgiler sunulacaktır. Ayrıca her iki ülkedeki müzelerin modern müzecilik açısından değerlendirilmesi yapılacaktır. Sonuç kısmında her iki ülkedeki müzeler ve kültür varlıklarının, komşuluk ilişkilerine, müzecilik faaliyetlerine nasıl yansıdığına dair bilgiler aktarılacaktır.
Evaluation of Counter Current Horizontal Screw Extractor’s Performance in Determining Leaching Equilibrium of Clitoria ternatea Anthocyanins
Authors: Ramadhani Laily Isna , Hidayatulloh Irwan , Nurcahyo  , Trirahayu Dhyna Analyes
Published: September 2024

Anthocyanin compounds as natural coloring substances contained in Clitoria ternatea flowers have higher antioxidant activity than anthocyanins from other flower extracts. Obtaining anthocyanin extract from Clitoria ternatea flower can be done using the solid-liquid extraction method. The objectives of this study include making a leaching equilibrium diagram of Clitoria ternatea flowers and determining the optimum L/S ratio and the number of equilibrium stages in the counter current horizontal screw extractor. In the maceration process, a leaching equilibrium diagram is produced, which is then used to design and determine the number of equilibrium stages. The equilibrium diagram of anthocyanins from Clitoria ternatea flowers with a gradient slope to the right is in accordance with the literature so that the equilibrium diagram can be used in the design of the extraction unit and the calculation of the theoretical stage of the multi-stage extraction unit. Based on the equilibrium diagram, the Number of Transfer Units (NTU) of 4 stages and the Height of the Transfer Unit value of this process is 0.105 m.
Biosintesis Nanopartikel ZnO dengan Ekstrak Temu Kunci (Boesenbergia rotunda) Dibantu Gelombang Mikro, Serta Pengujian Aktivitasnya Terhadap Bakteri
Authors: Junaedi Yusup , Sugita Purwantinigsih , Farid Muhamad
Published: September 2024

Numerous ZnO nanoparticles have been successfully synthesized using diverse plant extracts, yet research utilizing B. rotunda extract as a capping agent with microwave assistance has been lacking. Hence, this study aimed to employ microwave-assisted B. rotunda extract to produce ZnO nanoparticles and test their antibacterial activity. By utilizing 10 mL of 1% (m/v) B. rotunda extract at pH 12.5 and calcinating for 3.8 hours at 200°C, coupled with 20 minutes of microwave treatment, ZnO nanoparticles averaging 78.78 nm in diameter were synthesized. Particle size was determined using the ImageJ software to analyze TEM images. UV-Vis absorption spectroscopy indicated a peak wavelength at 360 nm, while FTIR analysis identified compounds from B. rotunda extract crucial in nanoparticle formation. Antibacterial testing revealed the nanoparticles' ability to create an inhibition zone against E. coli growth.
Adsorpsi Logam Cu(II) dengan Hidrogel CMC/Pektin Komposisi 2:1 Menggunakan Metode Freeze-Thaw
Authors: Maelan Nabila Maharani , Nurazizah Melani Dewi  , Sri Andini  , Meka Saima Perdani  , Aulia Wahyuningtyas
Published: September 2024

The Citarum River is included in the category of the most polluted river in the world because it contains chemicals that can reduce air quality. This pollution not only affects air quality but also threatens public health and the surrounding ecosystem. Heavy metals, especially Cu(II), are one of the contaminants that have exceeded the threshold and can cause serious health impacts, including organ damage and nervous system disorders. Hydrogel is an alternative adsorbent that is widely used in various fields, especially in the field of air purification. Hydrogel has the ability to absorb and adsorb contaminants. In particular, Carboxymethyl Cellulose (CMC) hydrogel and pectin hydrogel have attracted much attention for safe water purification because they are non-toxic and have good biodegradability and biocompatibility. The researchers conducted a study on the adsorption of Cu(II) metal using a Carboxymethyl Cellulose (CMC) hydrogel adsorbent and pectin in a 2:1 composition through the Freeze-thaw method. FTIR analysis of the CMC/pectin hydrogel confirmed the presence of C-O-, O-H, C=O, C-H, OH bending, and COOH stretching vibrations. Based on BET analysis, the hydrogel has micropores, a type 1 isotherm, and a surface area of ​​1,889 m2/g. The Langmuir isotherm model was used to determine the ideal adsorption conditions to be a concentration of 298 ppm, an adsorption capacity of 1,0918 mg/g, and an adsorption efficiency of 13,485%.
Pedagogical decisions in lesson planning and making use of the planning: Perspective of both experienced and novice teachers
Authors: Pratiwi Dwiyani
Published: September 2024

The differences between experienced and novice teachers can be observed in how they plan and implement lesson plans in the classroom. Understanding these strategies can aid teacher education programs in refining their curricula to better develop teachers' competencies. This research explores the perspectives and practices of both experienced and novice teachers regarding lesson planning and its actual use. A qualitative case study was conducted, involving two rounds of interviews with one experienced teacher and two novice teachers. Using qualitative data analysis techniques, the data were categorized into several themes. The findings reveal that all teachers recognize the importance of lesson planning. They unanimously agree that written lesson plans, referred to as lesson plan pro forma, are essential for guiding teaching and fulfilling administrative functions. However, differences emerged in how they planned their lessons, responded to policy changes and regulations, and made pedagogical decisions when addressing critical incidents in the classroom. The experienced teacher demonstrated greater readiness and adaptability to changes in the curriculum, classroom dynamics, students' needs, and school regulations. Conversely, the novice teacher, due to a lack of knowledge and skills in lesson planning, tended to rely on the school-selected workbook as the primary resource for teaching directions. Implications for teacher professional development programs and recommendations for further research are discussed.
Failure behaviour of the eccentric clamping bolted joint under transverse displacement
Authors: Wang Shi , Fan Jianfei , Zhang Yunqiao , Li Hechang , Xu Yanwei , Liu Jianhua , Peng Jinfang , Zhu Minhao
Published: September 2024

The study focused on thread damage, kinetic analysis, and the analysis
of the looseness curves of the bolts. Experimental results show that
fatigue and abrasive wear are the dominant wear mechanisms observed on
the thread contact surface. A quantitative analysis of rotation angle
and eccentricity shows that the loosening process of the bolt joint
structure can be divided into the following three stages: the rapid
decline stage of axial force, the slow decline stage, and the rapid
decline stage. The first-stage looseness was found to be minimally
affected by the rotation angle, whereas the second-stage looseness
exhibited sensitivity to the combined influence of eccentric distance
and angle.
A solution to an initial-boundary value problem for the heat conductivity equation with a discontinuous coefficient and general conjugation conditions
Authors: Кoilyshov Umbetkul , Sadybekov Makhmud A. , Beisenbayeva Кulnyar
Published: September 2024

A solution to the initial-boundary value problem for the heat equation
with a discontinuous coefficient and a general conjugation condition is
verified using the Fourier method. The problem considered in the paper
models the process of heat propagation of a temperature field in a thin
rod of finite length, consisting of two sections with different
thermal-physical characteristics. In addition to the boundary conditions
of the first kind, general conditions are specified at the point of
contact of the two media. The existence and uniqueness of a classical
solution to the studied problem is proved.
Deghosting Method for Cross Localization in Distributed High Frequency Surface Wave Radar
Authors: Na Cui , Chen Xuekun , Yu Changjun
Published: September 2024

In this paper, we tackle the challenging problem of multi-target cross
localization within a novel distributed high-frequency surface wave
radar (HFSWR). This system consists two transmitter-receiver pairs, each
of which can correspondingly generate a set of Range-Doppler
measurements. By associating the Range-Doppler measurements from the
same target, the individual target location can be derived using the
associated measurements. However, when multiple targets are involved, it
is unknown which measurements originate from the same target, leading to
ambiguities in the measurement-to-measurement association. False
associations can result in the ghosts, ultimately degrading the overall
system performance. To deal with the ghosts, we propose a three-stage
deghosting method that incorporates the geometric characteristics of the
system, the velocity features of the targets and the motion features of
the targets across multiple frames.~̵‌The simulation results demonstrate
the effectiveness of our proposed method compared with the other
investigated deghosting algorithms. Our proposed approach exhibits
robust target detection capability while significantly reducing both the
OSPA error and the cardinality error.
Game Edukasi Berbasis Pembelajaran Berdiferensiasi Pada Materi Sistem Pencernaan Manusia Kelas V SD
Authors: Kusumasari Putu Rastiti , I Gede Margunayasa  , I Wayan Lasmawan
Published: September 2024

Minat belajar siswa sangat rendah karena gaya belajar siswa sangat beragam, namun guru belum mampu mengakomodasi beragam gaya belajar siswa dengan menerapkan strategi pembelajaran yang tepat. Penelitian ini bertujuan untuk menciptakan media game edukasi berbasis pembelajaran berdiferensiasi pada materi sistem pencernaan manusia kelas V SD. Penelitian ini merupakan jenis penelitian dan pengembangan (R&D) dengan menerapkan model pengembangan ADDIE. Subjek penelitian ini adalah siswa kelas V SD. Data diperoleh dengan metode non-tes kuesioner yang telah diuji kelayakannya dengan uji validitas isi, validitas butir dan uji reliabilitas. Teknik analisis  dengan paired sample t-test. Analisis uji validitas menunjukkan bahwa rata-rata keseluruhan validasi sebesar 3,85 yang berada pada katagori sangat valid. Hasil anilisis data kepraktisan menunjukkan rata-rata penilaian guru terhadap produk sebesar 3,81 dan penilaian siswa diperoleh sebesar 3,57 dan berada kategori sangat praktis. Hasil uji efektivitas menunjukkan bahwa nilai Sig.(2-tailed)  kurang 0,05, maka terdapat perbedaan minat belajar IPA siswa sebelum dan sesudah menggunakan media game edukasi berbasis pembelajaran berdiferensiasi pada materi sistem pencernaan manusia kelas V sekolah dasar. Simpulan penelitian bahwa game edukasi berbasis pembelajaran berdiferensiasi dinyatakan efektif untuk meningkatkan minat belajar siswa. Implikasi penelitian ini dapat meningkatkan minat belajar siswa dengan game edukasi berbasis pembelajaran berdiferensiasi. Sehingga, meningkatnya minat belajar berimplikasi pada meningkatnya hasil belajar siswa.
Dampak Dukungan Sosial, Optimisme, Religius, dan Harga Diri Terhadap Kesejahteraan Subyektif Guru
Authors: Yuin Komang , Anak Agung Gede Agung  , Kadek Rihendra Dantes
Published: September 2024

Seseorang yang mengalami kesejahteraan subjektif rendah akan mempersepsikan dan menafsirkan segala kejadian dalam hidupnya sebagai peristiwa yang tidak menguntungkan. Hal ini akan menimbulkan respons emosional yang negatif. Penelitian ini bertujuan untuk menganalisis dukungan sosial, optimisme, religiusitas, serta harga diri berkontribusi pada kesejahteraan subjektif guru. Penelitian ini merupakan penelitian “ex-post facto” yang dilakukan dengan jumlah sampel sebanyak 164 orang. Metode pengumpulan data melalui penggunaan kuesioner serta dokumen. Instrumen pengumpulan data dengan kuesioner. Analisis data dilakukan dengan pendekatan regresi sederhana, regresi berganda, serta  korelasi parsial. Temuan penelitian menunjukkan adanya hubungan yang kuat dan kontribusi penting antara dukungan sosial terhadap kesejahteraan subjektif guru. Kedua, terdapat perbedaan yang mencolok antara optimisme dan kesejahteraan subjektif guru. Ketiga, terdapat hubungan yang kuat antara sikap guru agama dengan kepuasan yang mereka rasakan di sekolah. Keempat, terdapat hubungan yang kuat antara harga diri dengan kesejahteraan subjektif guru yang menunjukkan adanya hubungan yang cukup besar. Disimpulkan bahwa adanya hubungan yang kuat antara dukungan sosial, optimisme, religiusitas, dan harga diri dengan kesejahteraan subjektif guru.
Self Regulated Learning dan Hasil Belajar IPA Siswa Kelas V SD dengan Model Pembelajaran Numbered Head Together
Authors: I Ketut Eli Wartama  , I Made Ardana  , Ni Ketut Suarni
Published: September 2024

Kurangnya inovasi dan kreasi dalam mengajar menjadi masalah pendidikan saat ini. Salah satu akibatnya adalah self regulated dan hasil belajar siswa saat ini rendah. Penelitian ini bertujuan menganalisis self regulated learning dan hasil belajar IPA dengan model Numbered Head Together (NHT). Jenis peneltian adalah eksperimen semu dengan desain post-test only control group design. Populasi penelitian adalah siswa kelas V SD yang berjumlah 101 siswa. Banyaknya sampel berjumlah 81 siswa untuk dua kelas yang diambil dengan teknik random sampling. Data dikumpulkan dengan angket dan tes pilihan ganda. Data dianalisis dengan MANOVA. Hasil penelitian menunjukkan kemampuan self regulation learning siswa yang dibelajarkan dengan model pembelajaran NHT secara signifikan lebih baik daripada siswa yang dibelajarkan dengan model pembelajaran konvensional (Fhitung 65,277 lebih dari Ftabel 3,96 dengan signifikansi 0,000 kurang 0,05). Hasil Belajar IPA siswa yang dibelajarkan dengan model pembelajaran NHT secara signifikan lebih baik daripada siswa yang dibelajarkan dengan model pembelajaran konvensional (Fhitung 4,628 lebih dari Ftabel 3,96 dengan signifikansi 0,035 kurang 0,05). Secara simultan kemampuan self regulation learning dan hasil belajar IPA antara siswa yang dibelajarkan dengan model pembelajaran NHT secara signifikan lebih baik daripada siswa yang dibelajarkan dengan model pembelajaran konvensional. Disimpulkan bahwa model pembelajaran Numbered Head Together memberikan pengaruh yang signifikan terhadap self regulated learning dan Hasil Belajar IPA siswa kelas V Sekolah Dasar. Implikasi penelitian ini adalah terciptanya inovasi dengan menggunakan model NHT yang berdampak pada self regulated dan hasil belajar siswa.
The Importance of Individual Education Plan (IEP) in Communicative Development of Children With Speech Delay: A Systematic Literature Review
Authors: Yuniari Ni Made , Made Hery Santosa
Published: September 2024

Lack of time with parents and lack of awareness of a child's potential can cause speech delays. This research aims to analyze the role of Individual Education Plans (IEPs) on the communicative development of deaf children. This type of research is qualitative research. This study included a systematic literature review that included 14 studies on IEPs and speech delays. Collecting relevant data using systematic observation techniques. Systematic observation techniques were used to collect relevant data from several articles. The data analysis technique uses qualitative descriptive analysis. These findings underscore the need for IEPs to address the special needs of children with speech delays, the importance of individualized methods, the availability of appropriate resources and supports, and the participation of parents and other stakeholders in the IEP process. This study emphasizes the need to develop and implement high-quality IEPs, provide resources and assistance, and involve parents and stakeholders in help childrenhelpingh speech delays successfully. This study also briefly highlights the limitations and recommendations of the research evaluated, highlighting the need for collaborative and strengths-based IEPs, early intervention, family participation, and good communication with stakeholders. It can be concluded by emphasizing the importance of different interpretations, further research, and a holistic approach to inclusive education and the development of children's speech abilities.