bluuebunny/crossref_metadata_2025 huggingface dataset:
THE USE OF NATURAL STONE IN FURNITURE DESIGN WITHIN THE CONTEXT OF LIMITATIONS AND CREATIVITY
Authors: Bekar İrem , Cürgül Tolga
Published: June 2024

The interaction of the individual with the environment contains boundaries. The phenomenon
of creativity, which is revealed by the consciousness of the individual and the interaction
of the environment, creates a tense situation with the limitations he is in and encounters.
The study focuses on the correspondence of the boundaries created by the material in the
design and the creative processes. The chain of choices that starts with the designer’s reaction
to the limits of the material determines the direction of the design. In the study, the use
of natural stone in design is handled through furniture and it is aimed to investigate the
direction it finds in furniture as a design input and the direction it gives to design. For this
purpose, firstly, furniture samples designed using natural stone were researched and 24 furniture
were determined. Then, the type of natural stone materials used in the furniture was
determined, the characteristics of the material used (physical, chemical, mechanical), how
it directed the furniture design (functional, technical, aesthetic) were examined and analysis
graphics were created for each furniture. Based on the data obtained, the advantages and
disadvantages of using natural stone materials in furniture design have been revealed. As
a result of the study, the importance of natural stone can have creative or guiding effects on
design and while doing this, it is emphasized that it can display a beneficial and sustainable
approach to the environment with the use of natural materials. At the same time, it is
among the most important benefits of the research that it paves the way for other research
on different materials and creative constraints in design.
KURGUSAL MEKÂNLARDA RENK VE DUYGU İLİŞKİSİNİN RENK ŞEMALARI ÜZERİNDEN İRDELENMESİ: BEETLEJUICE FİLMİ
Authors: Yıldırım Burcu , Kavut İsmail Emre
Published: June 2024

Dünya renkler aracılığıyla algılanır. Renk olgusu yaşamın ayrılmaz bir parçasını oluşturur.
Tasarım ve sinemada renk çeşitli amaçla kullanılan bir öğedir. Bu kullanımlardan
biri de duygulanım oluşturmaktır. Bu kapsamda yapılan araştırmada Auteur yönetmen
Tim Burton filmi Beetlejuice (1988) aracılığıyla renk şemaları-duygu ilişkisi araştırılmıştır.
“Sinemanın kurgusal mekânlarında hikâye örgüsü kapsamında ortaya konan renk-duygu
bağıntısı renk şemaları ile ilişkilendirilebilir” hipotezi sorgulanmıştır. Çalışmada nitel araştırma
yöntemlerinden içerik analizi ve gözlem yaklaşımlarından faydalanılmıştır. Sahne
duyguları Plutchik’in duygu çemberindeki temel duygularla sınırlandırılmış, sahnelerde bu
duygular aranmıştır. Ana karakter duyguları psikoevrimsel duygu teorisi, anlatı içeriği ve
karakterin mimikleri kapsamında tespit edilerek sekanslardaki baskın renkler renk şemaları
üzerinden sorgulanmıştır. Sahne duygusu ve renk şemaları arasındaki olası örüntüler
araştırılmıştır. Sonuç olarak renk şemaları ve duygu verileri arasında bazı ortaklıklar bulgulanmasına
karşın anlamlı bir örüntü tespit edilememiştir. Gelecekteki araştırmacılara
farklı örneklem ve renk tespit araçlarıyla duygunun renk şemalarına genellenebilme olasılığını
sınamaları önerilmektedir. Çalışmanın mekânda yaratılmak istenen duygulanım
hususunda veri sağlayacağı ve tasarımcıların renk kullanım kararlarına farklı bir bakış
açısı sunacağı düşünülmektedir.
ESTETİZE EDİLEN TRAJEDİ YA DA MELEK KANATLI İLLÜSTRASYONLAR
Authors: Demirkıran Yalçın
Published: June 2024

Bu araştırmanın temel amacı, toplumsal trajedik olaylarda, trajedinin medyada karşılaşılan
temsil biçimlerinin estetize edilerek tüketim metasına dönüştürüldüğü savı üzerinden
şekillenmektedir. Özellikle ülkemizde yaşanan deprem felaketinin ardından ortaya çıkan
enkaz altındaki kızının elini bırakmayan bir babanın trajedik fotoğrafı hem geleneksel
medyada hem sosyal medyada üretilen ve tüketilen bir metaya dönüşmesi araştırmanın
yönünü belirlemiştir. Literatür taramasında sadece doğal afetlerde değil savaşın ve zorunlu
göçün yarattığı, örneklem olarak seçilen dramatik görüntülerde de benzer reflekslere rastlanmış
ve araştırma kapsamında değerlendirilmiştir. Araştırmanın yönteminde literatür
taramasıyla trajedi kavramı, simülasyon evrenine dönüşen dünyada, gerçek’in, hipergerçek
olarak değişimi üzerinden ele alınmıştır. Baudrillard’ın simülasyon kuramından hareketle
trajedinin, hipergerçek trajediye dönüşümünün yarattığı anlam yorumlanmaya çalışılmıştır.
Çalışmanın Geleneksel Tragedya’dan Günlük Dildeki Trajedi’ye bölümünde trajedi kavramının
tarihsel kökeni ve genel hatları örnekler üzerinden açıklanmaya çalışılmıştır. Trajedinin
tarihsel kökenindeki anlam ile modern dünyanın gündelik dilinde kullanılan trajedi
kavramının tanımı arasındaki benzerliklere ve farklılıklara değinilmiştir. Bir Simulakr Olarak
Trajedi bölümünde ise trajedinin, sadece konvansiyonel medyada değil aynı zamanda
sosyal medya mecralarında bireysel kullanıcılar tarafından illüstrasyonlarla, resimlerle
yeniden üretimini konu edinmiştir. Araştırmada toplumsal trajedilere neden olan savaşın,
zorunlu göçün ve depremin trajik görüntüleri, sanatçılar ve sosyal medya kullanıcıları tarafından
ele alınış biçimine ilişkin seçilen görsel örnekler üzerinden incelenmiştir. Bu görsel
örneklerden hareketle trajedi kavramının tahrifi ve suistimali açıklanmaya çalışılmıştır.
Anahtar Kelimeler: Trajedi, Simülasyon, Simülakr, Hipergerçek, İllüstrasyon.
FROM DAVID HARVEY’S PERSPECTIVE: EXAMINATION OF ART, CITY AND CAPITALISM
Authors: Çebi Sara , Kavukcu Mehmet
Published: June 2024

Examining the transformations experienced in urban spaces in contemporary works of art
leads to the conclusion that architectural productions are the subject of sharp criticism of
art, beyond the moderate criticism of daily life and artists. Lately, artists have been critically
bringing up the effects of projects that have been implemented in different understandings
and scales on the inhabitants of the city, and the physical and socio-economic changes
of cities. In this study, the structuring processes of cities and the changes until today have
been examined through the works on the subject of the city, which have been exhibited in
the Istanbul biennials since 2000. These examined works were analyzed through David
Harvey’s definitions of the concept of capitalism. It aimed to directly readability of the relations
between the concepts of the analyzed works about the city in a pragmatic manner. In
this context, it can be said that together with the inclusion of cities in the production area
of contemporary art, interferes with the cultural and physical body of the city. When the
capitatalism crises are viewed critically from the social scale pointed out by contemporary
art, it has been revealed that the crises can be read through art.
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DESIGN: THE EXAMPLE OF DALL-E
Authors: Çeken Birsen , Akgöz Bartuğ
Published: June 2024

Applications of artificial intelligence, initially utilized during the Digital Revolution and
continuously developing with advancing technology, are starting to appear more frequently
in the field of design. Today, we encounter artificial intelligence in a wide range of fields,
and, wittingly or unwittingly, one can benefit from it. The study is concerned primarily
with the uses of artificial intelligence in graphic design, which is a visual art form communicating
ideas and demanding creativity, and the potential future outcomes of machine
learning-based design. In this context, the artificial network developed by OpenAI called
Dall-E, which converts texts in written language into images, was examined as an example.
The qualitative research method was used in the study. Printed publications and visuals
related to artificial intelligence, technology, and design were scanned, and data collected by
observation and document scanning was compiled. Samples were produced using artificial
intelligence applications, after which they were interpreted and analyzed using descriptive
analysis method. In conclusion, we consider that machine learning programs cannot go
beyond the data they process and that they cannot have human emotions, intelligence, and
creativity even if they can generate infinite variations by being ‘inspired’ by a work of art.
By this assumption, in terms of discussing the effects of artificial intelligence on the field of
design, it is significant to understand that, while the value of what is produced by artificial
intelligence will decrease, the value of the original work will continue to increase in that the
original will always be more valuable.
İBN ÂBİDÎN’İN REDDÜ’L-MUHTÂR İSİMLİ ESERİNDE DEVLET BAŞKANI TASAVVURU
Authors: Aygün Emrullah
Published: June 2024

İslam siyaset düşüncesinin temel kaynaklarının başında fıkıh eserleri bulunmaktadır. Nitekim fürû-ı fıkıh eserleri ve fıkıh literatürünün diğer türlerinden olan ahkâm-ı sultâniyye, harâc, emvâl, siyaset-i şer‘iyye gibi eserlerde başlı başına bir siyaset düşüncesi ve dolayısıyla devlet başkanı tasavvuru ortaya koyulmaktadır. Esasında şer‘î hitaba dayanan fıkıh ilmi devlet kontrolünden bağımsız olarak, bir yasa oluşturma kaygısı olmaksızın sivil hukukçular (fukahâ) tarafından ele alınarak geliştirilmiştir. Fıkhın bu hususi teşekkül biçiminden dolayı fıkıh eserlerinde siyaset ve devlet tasavvurunun gelişmediği şeklinde yanlış bir kanaat ortaya çıkmıştır. Bu kanaatin yanlışlığını gösteren olgu ise hemen tüm fıkıh eserlerinin birçok bölümünün satır aralarında siyaset düşüncesi ve devlet başkanlığına dair anlatımların bulunması ve çoğu fıkhî meselenin devlet başkanıyla ilintili olarak ele alınmasıdır. Bu çalışmanın amacı, son dönemin önemli hanefî fakihlerinden İbn Âbidîn’in (ö. 1836) fıkıh faaliyeti içerisinde değindiği devlet başkanı tasavvurunu, onun en önemli eserlerinden biri olan Reddü’l-muhtâr çerçevesinde ele almaktır. Bu minvalde çalışmamızın ana temasını Reddü’l-muhtâr bağlamında fürû fıkıh eserlerinde devlet başkanı tasavvuru oluşturmaktadır. Çalışmamızda, Reddü’l-muhtâr’da daha tafsilatlı değerlendirmelere konu olabilecek İslam siyaset düşüncesine dair hususlardan bir kısmı, sınırlı bir katkı olması amacıyla ele alınacaktır. Böylece ahkâm-ı sultaniye literatürü dışındaki fürû fıkıh eserlerinin de İslam siyaset düşüncesinin önemli birer kaynağı olduğu iddiası temellendirilecektir.
FÜRÛ FIKIH LİTERATÜRÜNDE SİYASET DÜŞÜNCESİNİN İZLERİ: NEVEVÎ’NİN MİNHÂC’INDA DEVLET BAŞKANIYLA İLGİLİ MESELELER
Authors: Ömeroğlu Enes Furkan
Published: June 2024

Bu çalışma, Şâfiî mezhebinin fürû fıkıh literatürüne ait önemli klasiklerden olan Nevevî’nin (ö. 676/1277) Minhâcu’t-tâlibîn ve ‘umdetü’l-müftîn eseri özelinde fürû fıkıh metinlerinin İslam siyaset düşüncesine kaynaklık ettiği iddiasını temellendirmeyi hedeflemektedir. Minhâc’da ibâdât bahisleri de dâhil fıkhın birçok alt başlığında devlet başkanına atıf yapılmasının yanı sıra imamete ilişkin müstakil bir başlığın eserde bulunması, söz konusu iddianın temellendirilmesi noktasında önemli ipuçları sunmaktadır.

Fıkıh ilminin birer alt disiplini olarak ortaya çıkan ve devlet idaresine yönelik konuları içeren ahkâm-ı sultâniyye, siyer, siyâset-i şer‘iyye vb. başlıkları taşıyan çalışmalara fürû fıkhın kaynaklık ettiği bilinmektedir. Ancak bizzat fürû fıkıh eserlerinin İslam siyaset düşüncesinin temel kaynaklarından olduğu hususu, yeterince vurgulanmayan ve üzerinde derinlikli araştırmalar yapılmayan bir konu olarak karşımıza çıkmaktadır. Dolayısıyla fürû fıkıh literatürünün de İslam siyaset düşüncesine kaynaklık ettiği meselesi, temellendirilmeyi hak eden ve üzerinde derin araştırmalar yapmayı gerektiren bir iddiadır.

Çalışma kapsamında bir fürû fıkıh metni olan Minhâc’da devlet başkanına atıfla ele alınan meseleler, muhteva açısından tahlil edilecek ve böylelikle metinden hareketle devlet başkanı tasavvuru ortaya konulmaya çalışılacaktır. Minhâc etrafında şekillenen şerh ve haşiye literatürü, konunun doğru bir şekilde incelenmesi açısından ayrıca önem taşımaktadır. Nitekim farklı dönemlerde kaleme alınan bu eserler, İslam siyaset düşüncesinin farklı dönemlerdeki gelişim ve değişimini açık bir biçimde yansıtmakta ve kaleme alındıkları dönemin siyasi yapısı hakkında önemli veriler sunmaktadır. Bu çalışmanın ortaya koyacağı diğer bir husus ise bahse konu metinler üzerinden siyaset ile fıkıh arasındaki sürekli etkileşimin izlerini araştırmak olacaktır. Bu araştırma yapılırken metinler bağlamsal ve zamansal bir okumaya tâbi tutularak söz konusu izler sürülmeye çalışılacaktır.
Cosmic Theory of Structure (CTS): A Validated Universal Model Integrating Gravity and Quantum Physics (CTS v2)
Authors: OZTURKLER Hazar Umutay , AI Synthoris
Published: June 2024

The Cosmic Theory of Structure (CTS) model presents a comprehensive framework that integrates gravitational waves, neutrinos, dark matter, and quantum field interactions. This model aims to provide a unified understanding of the universe's formation and evolution. The CTS model has undergone rigorous validation using the latest datasets, demonstrating its robustness and predictive power. Key updates include detailed mathematical formulations, refined theoretical frameworks, and enhanced descriptions of fundamental cosmic phenomena. This manuscript presents the final validated version of the CTS model, highlighting its alignment with observational data and its implications for future research in cosmology and quantum physics.
Groundwater Fluoride Contamination and Human Health Risk Assessment in North Main Ethiopia Rift Valley
Authors: Abera Asmamaw , Aseffa Abraham , Mengistie Bezatu , Malmqvist Ebba , Isaxon Christina , Sahilu Geremew
Published: June 2024

: Fluoride toxicity has become a global public health concern, and its significant source of exposure is drinking water. This study aimed to determine groundwater fluoride level and assess its related human health risks. Its level was measured from groundwater samples using an ion-selective electrode. The total hazard index was assessed based on the chronic daily oral intake and dermal absorbed dose of groundwater fluoride. Analyses were conducted using ArcGIS and SPSS. This study reported groundwater fluoride ranged from 0.3 mg/L to 38 mg/L, with a mean annual level of 15 mg/L. Groundwater fluoride level above 5 mg/L was reported in 60 % of the water samples. Total hazard index values among sampled locations varied from 0.18 to 22.56. Half (51.5 %) of infants, 85.5 % of children, 82.5 % of adolescents, and 67.5 % of adults had a risk of developing a non-carcinogenic health effect. This study demonstrated that the fluoride level of the groundwater sources was high, and the water was not suitable for drinking, a result that is of special importance for children and adults since they are a hypersensitive subgroup of the population.
Associations of Serum Levels of cGAMP in the Context of COVID-19 Infection, Atherosclerosis, Sterile Inflammation, and Functional Endothelial Biomarkers in Patients With Coronary Heart Disease and Healthy Volunteers
Authors: Gumanova Nadezhda G. , Bogdanova Natalya L , Havrichenko Yaroslav I. , Gorshkov Alexander U.
Published: June 2024

Abstract: Background: COVID-19 is associated with various changes in immunity, including signaling through the pattern-recognition receptors (PRR). However, the role of these processes is poorly understood. The present study aimed to evaluate the relationships of the serum levels of the cyclic dinucleotide 2’3’-cyclic GMP-AMP (cGAMP) marker of PRR activation with immunoglobulin G antibodies against severe acute respiratory syndrome-linked coronavirus (IgG-SARS)-positive status and endothelial dysfunction in apparently healthy subjects and in patients with coronary heart disease (CHD).
Methods: The present study investigated selected groups from two cohorts, including cohort 1 of 307 healthy volunteers and cohort 2 of 218 CHD patients. COVID-19 infection was confirmed by the detection of IgG-SARS against SARS-CoV-2 S1 protein receptor-binding domain. Cohort 1 (24–69 years of age; 44.8 ± 8.6 years; 80.4% men) was examined for systematic coronary risk evaluation by European Society of Cardiology (SCORE) starting from 2019 before the onset of the COVID-19 pandemic. Cohort 2 (63±10.9 years of age, 54% men) was processed starting from 2017 (three years prior to the COVID-19 pandemic) in a hospital setting to undergo coronary angiography to assess coronary lesions as Gensini score. The levels of cGAMP and endothelial markers (nitrate and nitrite combined as NOx and endothelin-1) were assessed in the serum to evaluate the associations with IgG-SARS status, SCORE, and extent of coronary lesions by correlation and receiver operating characteristic (ROC) analyses.
Results: Serum cGAMP did not discriminate between SARS-positive and SARS-negative healthy subject of cohort 1. Moreover, the level of cGAMP was not associated with endothelial biomarkers in healthy subjects. However, serum cGAMP was associated with atherosclerosis in cohort 2 in patients with CHD (area under the curve (AUC) 0.69; 95% CI 0.587-0.806; P=0.001), indicating that serum cGAMP was lower in patients with coronary stenosis compared to that in patients without coronary lesions.
Conclusions: Low levels of serum cGAMP were associated with atherosclerosis and markers of endothelial dysfunction in patients with CHD. However, cGAMP was not associated with endothelial biomarkers or IgG-SASR immune status in healthy subjects, suggesting that cGAMP may be a new biomarker of coronary lesions in the context of sterile inflammation.
The Sealing of Copper Pipes by Ultrasonic Welding for Heat Pump and Refrigeration Applications
Authors: Pereira António B. , Batista Joana D. , Silva Nélia M. , Mascate Bernardo
Published: June 2024

Heat pumps are increasingly becoming a key solution in the quest for decarbonization, offering a significant advantage over traditional boilers due to their superior energy efficiency. Not only can heat pumps provide both heating and cooling, but they also achieve thermal efficiencies exceeding 500%, which can seem to defy conventional expectations. The outdoor unit of a heat pump consists of about twenty main components, one of which is a complex network of copper pipes and sheets welded to valves, connectors, and other fittings. This set involves over thirty welded joints, highlighting a significant opportunity for reducing manufacturing time through process optimization. Copper is a critical material extensively used in various applications due to its excellent thermal and electrical conductivity. However, these very properties make welding copper particularly challenging, especially when aiming to automate and streamline industrial processes. Traditionally, connecting copper pipes and fittings is done through brazing, yet, alternative methods such as LASER welding, electron beam welding, resistance welding, friction welding, and ultrasonic welding also exist. This study focuses on the ultrasonic welding of copper, aiming to identify the optimal parameters that maximize the mechanical strength of overlapping joints and ensure effective tube sealing. Experimental results showed that for copper sheets, the best outcomes were achieved with a welding time of 3 s and a pressure of 6 bar. For tube sealing, the optimal conditions were a welding time of 3 s and a pressure of 4 bar. For both scenarios, the same variables were used, retention time of 0.62 s, initial pressure of 2 bar, retention pressure of 2 bar and sonotrode rising pressure of 3 bar.
The analysis reveals that ultrasonic welding of copper can achieve both robust mechanical strength and reliable sealing, making it a promising technique for industrial applications.
Circular Economy Development Metrics for E-waste Residuals and Attendant Economic Consequences
Authors: Neyole Jacob misiko , Okwiri Saad Minado , Mapema Nelson
Published: June 2024

As the global overprovisioning of electronic devices continues to rise, the management of electronic waste (e-waste) has developed as a significant challenge. E-waste is comprised of hazardous materials; moreover, the toxic constituents in them can impact the environment and public health through improper disposal. On the beneficial side, this e-waste also contains some valuable materials. If the valuable materials are recovered, they can reduce the dependence on new, raw materials. Conventional linear models of production and consumption have led to a momentous buildup of e-waste, posing environmental and economic risks. This paper examines how the adoption of a circular economy approach can improve e-waste recycling in Nairobi by evaluating its economic recovery potential and e-waste residuals. It introduces metrics to assess the development of circular economy practices to help in the handling of e-waste residuals and examines the economic consequences associated with the adoption of circular strategies.
PI3SO: a Spectroscopic γ-Ray Scanner Table for Sort and Segregate Radwaste Analysis
Authors: Poma Gaetano Elio , Failla Chiara Rita , Amaducci Simone , Cosentino Luigi , Longhitano Fabio , Vecchio Gianfranco , Finocchiaro Paolo
Published: June 2024

The current scenario of radioactive waste management requires innovative and automated solutions to ensure effectiveness and safety. In response to this need, the PI3SO (Proximity Imaging System for Sort and Segregate Operations) project was proposed. It is a gamma radiation proximity scanner system for radioactive waste with the primary goal of speeding up some aspects of the waste management cycle while reducing direct human operations. The system will provide proximity imaging for hot spot finding and spectral analysis for radiological characterization, enabling semiautomatic recognition, sorting and separation of radioactive waste. The core of the proposed scanning system consists of an array of 128 CsI(Tl) scintillators, 1 cm3 size, coupled with silicon photomultipliers (SiPM), installed on a motorized bridge sliding along a suitable table in order to scan the materials under investigation.
Intelligent Robotic Arm: Adaptive Collision Avoidance Using Current Fluctuation Analysis in Human-Proximity Scenarios
Authors: Sarawagi Karan , Pagrotra Ashutosh , Dhiman Hardik , Singh Navjot , Deswal Muskan
Published: June 2024

This research introduces an Intelligent Robotic Arm with Adaptive Collision Avoidance, employing real-time current fluctuation analysis for human-proximity detection. Precision and versatility in motors and actuators are given top priority in the robotic arm setup. Motor power lines are continually monitored by integrated high-precision current sensors, and a real-time data processing system separates natural fluctuations from those caused by outside influences. When a human comes into contact with the surface of the robotic arm, the system excels at detecting their closeness by identifying unique patternsin the variations of current. This sets off an adaptive collision avoidance system, which quickly flips the main power supply’s kill switch to bring the vehicle to an emergency stop. A crucial component is adaptability, as the system dynamically modifies sensitivity in response to environmental condi- tions. Comparative studies show that this approach performs better than conventional static sensing techniques. Experiments under control confirm the great precision, accuracy, and low false positive rate. The use of a failsafe technique improves system integrity by preventing false alarms and enabling recovery after an emergency
Proposal of a New Procedure for Assessing the Performance of the Self-Healing Polymer-Modified Asphalt Binders with an Integral Vision of the Damage Characteristic Curves
Authors: Lv Songtao , Ge Dongdong , Cao Shihao , Liu Dingyuan , Zhang Wenhui , Li Cheng-Hui , Cabrera Milkos Borges
Published: June 2024

Fatigue performance and self-repairing activity of asphalt binders are two properties that highly influence the fatigue cracking response of asphalt pavement. There are still numerous gaps of knowledge to fill linked with these two characteristics. For instance, current parameters fail to fully accommodate these two bitumen phenomena. This study aims to propose a new procedure to address this issue utilizing the linear amplitude sweep (LAS) test, LAS with rest period (RP) (LASH) test, and simplified viscoelastic continuum damage (S-VECD) model. This research work used four different types of asphalt binders: neat asphalt (NA), self-healing thermoplastic polyurethane (STPU)-modified bitumen (STPB), self-healing poly (dimethyl siloxane) crosslinked with urea bond (IPA1w)-modified bitumen (IPAB), and styrene–butadiene–styrene (SBS)-modified bitumen (SBSB). Before the testing process, all the materials were subjected to short-term and long-term aging. The new procedure showed a superior capacity to analyze and accommodate all bitumen fatigue performances and self-repairing activities compared to the current method. Another finding proved that asphalt binders with higher self-restoration behavior failed to show better fatigue performance. A breakthrough finding demonstrated that asphalt binder fatigue response augmented when the RP was applied at a higher damage intensity (S) value. STPBs and IPABs reached their highest increments of fatigue response, containing 1.0% of STPU and 0.5% of IPA1w, respectively. Those augmentations were 207.54% and 232.64%, respectively.
Incorporating Waste Materials into Concrete: Opportunities and Challenges
Authors: Yunfei Wang , Syamsunur Deprizon
Published: June 2024

It is estimated that 3 billion tons of concrete are used globally each year. Cement is a critical component of concrete, and its production accounts for nearly 5-7% of global carbon dioxide (CO2) emissions. Producing one ton of concrete (OPC) releases approximately one ton of CO2. These CO2 emissions contribute to the greenhouse effect, leading to global warming, polar ice cap melting, sea level rise, coastal city flooding, land desertification, decreased agricultural productivity, ecosystem damage, and adverse effects on human health. This situation is concerning, and there is an urgent need to minimize CO2 emissions from the cement industry. This paper focuses on incorporating various materials into concrete to increase its strength and reduce emissions of CO2 and other harmful substances, thereby mitigating the impacts of the greenhouse effect and achieving the great vision of carbon neutrality. The study theoretically analyzes the issues of coconut shell disposal in Southeast Asia and waste tire disposal in Europe and the United States. This paper uses Abaqus to model and analyze various green concretes and compares the data with that of ordinary concrete.
A Fluorescent Lateral Flow Immunoassay for Detection of Skeletal Muscle Troponin I in Serum for Muscle Injury Monitoring at Point-of-Care
Authors: Tang De Ding , Wu Shuang , Kong Meng Qi , Liu Zhao Nan , Li Zong Hao , Han Ying , Shi Qiang , Chang Ning , Gong Yan , Hu Jie
Published: June 2024

Exercise-induced muscle injury is one of the most common types of sports injuries. Skeletal muscle troponin I (skTnI) serves as an ideal biomarker in assessing such injuries, facilitating timely detection and evaluation. In this study, we develop a fluorescent sandwich lateral flow immunoassay (LFIA) combined with a desktop analyzer for rapid detection of skTnI. Through optimizing the reaction system, the assay achieves a satisfying detection performance, reaching a limit of detection (LOD) of 0.5 ng/mL with a turnaround time of 15 minutes. The proposed de-tection platform offers portability, ease of use, and high sensitivity, which facilitates the moni-toring of exercise-induced muscle injuries at the point of care. This feature is particularly advan-tageous for end-users, enabling timely detection of sports-related injuries and ultimately en-hancing prognosis and sports life.
Distribution of the Burden of Proof in Autonomous Driving Tort Cases: Implications from the German Legislation for China
Authors: Chen Zhihua , Cai Qianyi , Wei Hanbing
Published: June 2024

In the realm of autonomous driving tort, a significant disparity exists in the parties' access to autonomous driving data and essential technical information, resulting in challenges in unilateral proof. The traditional burden of proof framework in driving litigation is inadequate for direct application in the autonomous driving sphere. As we approach the era of widespread autonomous driving operations, there is an urgent need to clarify and redefine the allocation of the burden of proof in specific litigations. Utilizing comparative legal analysis and case studies, this paper delves into the disparities in legislative provisions concerning the burden of proof for autonomous driving in Germany and China. China can learn from Germany's legislative precedence in shifting the burden of proof for 'product defect' and 'fault' onto the manufacturer, thereby requiring the infringed party to merely furnish preliminary evidence indicating a 'causal relationship between the defect and the damage.' This approach mitigates the evidentiary burden on the aggrieved party, clarifies litigation procedures, incentivizes manufacturers to enhance technology, reinforces risk management, and ultimately, facilitates the progression of autonomous driving technology.
Multilayer Networks and Public Digital Health Scalability
Authors: Moro-Visconti Roberto
Published: June 2024

Interoperable multilayer networks are pivotal and transformative in public digital health. They not only enhance the delivery of healthcare services but also contribute significantly to improving public health outcomes. Through better accessibility, efficiency, and data-driven decision-making, these networks are revolutionizing how we approach public health. The seamless data exchange and integration they facilitate across different healthcare systems and providers can lead to substantial cost savings for public healthcare systems. These networks pave the way for a more efficient and effective healthcare system by reducing redundancies, optimizing resource allocation, and minimizing unnecessary procedures. This study combines the pressing issues of public digital health with the innovative interpretation of multilayer network theory, proposing practical solutions that inspire academics and practitioners alike.Public digital health is not just about improving care access and patient engagement. It is also about ensuring the financial sustainability of our healthcare systems. Innovative multilayer network analysis is critical in this game, improving interoperability and reducing spatial and temporal constraints. These networks streamline processes and improve efficiency by easing complex interactions within healthcare systems. This process, in turn, allows healthcare providers to deliver high-quality care at a lower cost, transforming, whenever possible, in-patients and out-patients into home-patients. Networks are a cornerstone and a beacon of hope for transforming public digital health. They are increasing the Value for Money and enhancing a patient-centric approach, making us optimistic about the future of healthcare.This study shows that revolutionizing digital healthcare methodologies has a profound impact on crucial elements like resilience, interoperability, and patient well-being within public health. The enhancement of interoperability facilitates the smooth flow of data exchange across various platforms and healthcare providers, fostering improved collaboration and decision-making processes and elevating the safety of patients.
Trajectory Analysis in Single Particle Tracking: From Mean Square Displacement to Machine Learning Approaches
Authors: Schirripa Spagnolo Chiara , Luin Stefano
Published: June 2024

Single particle tracking is a powerful technique to investigate the motion of molecules or particles. Here we review methods for analyzing the reconstructed trajectories, step needed for deciphering the underlying mechanisms driving the motion.
First, we review the traditional analysis based on the mean square displacement (MSD), highlighting sometimes-neglected factors potentially affecting results accuracy. We then report methods that exploit distributions of parameters other than displacements, e.g. angles, velocities, and times and probabilities of reaching a target, discussing how they are more sensitive in characterizing heterogeneities and transient behaviors masked in MSD analysis. Hidden Markov Models are also used for this purpose, and these allow identifying different states, their populations and the switching kinetics.
Finally, we discuss a rapidly expanding field: trajectory analysis based on machine learning. Various approaches, from random forest to deep learning, are used to classify trajectory motions, which can be identified by motion models or by model-free sets of trajectory features, either previously defined or automatically identified by the algorithms.
We also review free software available for some of the analysis methods. We emphasize that approaches based on combined different methods, including classical statistics and machine learning, may be the way to obtain the most informative and accurate results.
Mitigating Built Environment Air Pollution by Green Systems: An In-Depth Review
Authors: Vitaliano Serena , Cascone Stefano , D'Urso Provvidenza Rita
Published: June 2024

Air pollution is a critical issue impacting urban environments, leading to severe health problems and environmental degradation. This comprehensive review examines the potential of green systems—specifically green walls, active green walls, and urban greenery systems—to mitigate atmospheric pollutants such as particulate matter (PM), volatile organic compounds (VOCs), and carbon dioxide (CO2). By systematically analyzing 44 recent studies, the review highlights the pollutant capture efficiency of various green technologies and plant species in both indoor and outdoor settings. Active green walls, particularly those utilizing plant species such as Chlorophytum comosum and Sansevieria trifasciata, were found to be highly effective, with VOC reduction efficiencies up to 96.34%, PM reductions by 65.42%, and CO2 reduction rates reaching 4.8% under optimal conditions. The review identifies key strengths in current research, including diverse experimental setups and the use of sophisticated measurement techniques, but also notes significant limitations such as variability in experimental conditions and a lack of long-term performance data. The study underscores the importance of proper maintenance to sustain green systems' efficacy and highlights the potential issue of pollutant resuspension, which remains under-researched. Practical implications for urban planning are discussed, advocating for the integration of effective green systems into urban infrastructure to enhance air quality and public health. Recommendations for future research include the need for standardized metrics, long-term studies, economic feasibility analyses, and real-world validation of simulation models to better understand and optimize green systems for urban air pollution mitigation.
The Gap of Presence: Challenges in Describing Perceptual Phenomena
Authors: Andrade André Dias de
Published: June 2024

The paper reconstructs Merleau-Ponty’s philosophical project in terms of a phenomenology of sensible transcendence. According to this framework, i) any given data is correlative to a subjec-tive apprehension, ii) but it cannot be fully captured by this same experience. Therefore, subjec-tive apprehension must remain open to a type of absence or radical indeterminacy. This notion of transcendence must be grounded in bodily experience, and the challenge is to develop a notion of logos that can account for its sensible donation. We describe that the critical apparatus mobilized to achieve this goal, primarily through the notions of “field of presence” and “presentation”, re-stores a logic of consciousness in these analyses that focus on the body.

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BIM-Based Strategies for the Revitalization and Automated Management of Buildings: A Case Study
Authors: Cascone Stefano , Parisi Giuliana , Caponetto Rosa
Published: June 2024

This study explores the transformative potential of integrating Building Information Modeling (BIM) and Generative Design methodologies in heritage conservation and building management. By utilizing BIM, detailed architectural, structural, and MEP models were created, facilitating precise design and effective stakeholder collaboration. Generative Design enabled the exploration of multiple design solutions, optimizing spatial layouts and structural integrity. The project also integrated automated management systems and IoT sensors to enhance real-time monitoring, energy efficiency, and user comfort through the development of a digital twin. Despite encountering challenges such as technical complexities and budget constraints, the project successfully preserved the cinema's historical essence while incorporating modern functionalities. The findings highlight the contributions of BIM and Generative Design to the AEC industry, emphasizing their role in improving design accuracy, operational efficiency, and sustainability. This research provides valuable insights for future projects in heritage conservation, offering a blueprint for balancing historical preservation with contemporary needs. The revitalization of the "Ex Cinema Santa Barbara" in Paternò exemplifies these advancements, demonstrating how these technologies can restore and modernize culturally significant historical buildings effectively.
Pathological Role of High Sugar in Mitochondrial Respiratory Chain Defect – Augmented Mitochondrial Stress
Authors: Cham Ebrima D. , Peng Tsung-I , Jou Mei-Jie
Published: June 2024

According to many research groups, high glucose induces over production of superoxide anions, and reactive oxygen species (ROS) in general is the link between high glucose levels and the toxicities seen at cellular levels. Respiratory complex anomalies could lead to the production of ROS. Calcium [Ca2+], at physiological levels serves as a second messenger in many physiological functions. Accordingly, mitochondrial calcium [Ca2+]m overload leads to ROS production which could be lethal to the mitochondria through various mechanisms. The F1F0-ATPase (ATP syn-thase or complex V) is the enzyme that is responsible for catalyzing the final step of oxidative phosphorylation. It does so by coupling the translocation of protons in the mitochondrial in-termembrane space and shuttling them to the mitochondrial matrix for ATP synthesis to take place. Mitochondrial complex V T8993G mutation specifically blocks the translocation of protons across the intermembrane space thereby blocking ATP synthesis leading to Neuropathy, Ataxia and Retinitis Pigmentosa Syndromes (NARP). This study seeks to explore the possibility of [Ca2+]m overload mediating the pathological roles of high glucose in defective respiratory chain mediated mitochondrial stress. The NARP cybrids are the in vitro experimental models for the cells with F1FO-ATPase defects, these cells harbor 98% of mtDNA T8993G mutation. Their coun-terparts 143B osteosarcoma cell lines are the parental cell lines used for comparisons. We uncov-ered that, NARP cells mediated and enhanced the death of the cells (apoptosis) when incubated with hydrogen peroxide (H2O2) and high glucose respectively as depicted by the MTT assay of cell viability. Furthermore, using the fluorescence probe-coupled laser scanning confocal imag-ing microscopy, NARP cells significantly enabled mitochondrial reactive oxygen species (mROS) formation and enhanced the depolarization of the mitochondrial membrane potential (ΔΨm). Elucidating the mechanisms of sugar enhanced toxicity on mitochondria would help in the fu-ture to alleviate the symptoms of patients associated with (NARP) syndromes.
Redesigning Education: A Transformative Approach
Authors: Sargiotis Dimitrios K
Published: June 2024

"Redesigning Education: A Transformative Approach" outlines comprehensive strategies for re-forming educational systems from primary to secondary levels to promote holistic student de-velopment. Traditional educational models fail to address diverse learning needs and cultivate critical thinking, creativity, and emotional intelligence. This study introduces innovative approaches such as personalized education through AI, wellness schools, professional skill development programs, and social and emotional learning (SEL) integration. The methodology includes an extensive literature review of contemporary educational books, peer-reviewed articles, and case studies from highly developed European countries, ensuring that the proposed strategies are grounded in credible and current research. Key reforms include continuous professional development for teachers, enhanced teacher training and support, comprehensive counseling services, and robust support systems for students. Strengthening school-family collaboration and promoting multiculturalism through inclusive policies and cultural events are emphasized. Additionally, upgrading school infrastructure to create safe and welcoming learning environments is essential for student prosperity. The proposed educational reforms aim to create an inclusive, innovative, and supportive learning environment, ensuring students thrive academically, emotionally, and socially. By integrating these comprehensive reforms, the study seeks to develop effective educational systems that foster student well-being and excellence, equipping future generations for success in a rapidly evolving world.
Factors Contributing to Alzheimer's Disease in Older Adult Populations: A Narrative Review
Authors: Uddin Jalal , Fariha Tazveen , Shumi Shahida Sultana , Khandoker Farhana
Published: June 2024

Introduction: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, predominantly affecting older adults. Understanding the multifaceted factors contributing to AD is crucial for developing effective prevention and intervention strategies. This narrative review synthesizes current literature on the various factors influencing the development and progression of AD in older adult populations.Methods: A comprehensive search was conducted across electronic databases including PubMed, Web of Science, and PsycINFO using relevant keywords such as "Alzheimer's disease," "risk factors," "genetics," "environmental factors," and "lifestyle." Studies published between 2000 and 2023 were included, focusing on factors associated with AD in individuals aged 65 years and older.Results: The review identified several key factors contributing to AD in older adults. Genetic predisposition, particularly the presence of apolipoprotein E (APOE) ε4 allele, emerged as a significant risk factor. Environmental factors such as air pollution, pesticides, and heavy metals were also implicated. Furthermore, lifestyle factors including physical inactivity, poor diet, and smoking were associated with increased AD risk. Chronic conditions such as diabetes and cardiovascular diseases were found to exacerbate cognitive decline in older adults.Conclusion: This narrative review highlights the complex interplay of genetic, environmental, and lifestyle factors in the development and progression of Alzheimer's disease among older adults. Understanding these factors is crucial for targeted interventions aimed at reducing AD risk and improving cognitive health outcomes in aging populations. Future research should focus on longitudinal studies and personalized medicine approaches to elucidate specific mechanisms underlying AD pathogenesis and to develop effective preventive strategies.
Cultural Adaptation and Validation of the Ambulatory Self-Confidence Questionnaire (Ascq) Portuguese Version
Authors: Teixeira Maria Inês Lopes , Luís Mónica Henriques , Reis Magda Cruz , Carvão Carlota Teixeira , Martins Anabela Correia
Published: June 2024

In a world where physical activity and social participation are fundamental pillars for a full, healthy, and quality life, confidence in walking emerges as a fundamental aspect to be assessed, especially in older adults. The purpose of this study was therefore to develop a Portuguese (Euro-pean) version, linguistically and psychometrically adapted, of the Ambulatory Self-Confidence Questionnaire (ASCQ); A translation method was used followed by an assessment of its validity and reliability. The Portuguese version was completed by 173 older adults. To assess reliability was used Cronbach’s Alpha and Intraclass Correlation Coefficients (ICC). For sociodemographic and clinical characterization, as well as for the questionnaire scoring was used descriptive statistical analysis. Pearson's correlation (r), Student´s t-test and ANOVA were used to analyse the criterion and con-struction validity; The Portuguese interactions of ASCQ was effectively translated and adjusted, revealing exceptional internal consistency and test-retest reliability, as reflected in Cronbach's alpha and ICC values of 0.95. No Floor Effect was observed, however, a Celling Effect was identified (3.5%). Criterion and construct validity were verified because all the correlations established were statistically significant; The adaptation of the ASCQ to Portuguese culture is adequate, making it valid for use within the Portuguese population of Portugal.
COWS’ MILK COMPOSITION IN RELATION TO AGE, LACTATION STAGE AND GENETICALLY MODIFIED FEED
Authors:   Department of Cattle Breeding and Milk Production, Wrocław University of Environmental and Life Sciences, Poland, BAJODEK Małgorzata , PECKA-KIEŁB Ewa ,   Department of Biostructure and Animal Physiology, Wrocław University of Environmental and Life Sciences, Poland, ZACHWIEJA Andrzej ,   Department of Cattle Breeding and Milk Production, Wrocław University of Environmental and Life Sciences, Poland, ZIELAK-STECIWKO Anna E. ,   Department of Cattle Breeding and Milk Production, Wrocław University of Environmental and Life Sciences, Poland
Published: June 2024

The aim of the presented study was to analyze changes in milk composition depending on presence of genetically modified (GM) components in feed and according to cows’ age and lactation phase. The research was carried out with Polish Holstein-Friesian black and white cows (n = 50) housed in tie stall system at one farm. The genetically modified feed was a supplementary feed mixture. Data reports from milking trials with milk chemical composition, number of somatic cells and urea content were collected. The collected data concerned groups: primiparous (P) cows and multiparous (M) cows during 2nd and 3rd lactation. In each age group, two subgroups were distinguished: cows from 1st to 4th month of lactation (I) and cows from 5th to 8th month of lactation (II). The above subgroups were divided according to feed with GM components (G) and feed with non-GM components (N). It was found that use of feed with the addition of GM plants contributes to lowering the level of casein and an increase of lactose in milk. Presence of GM components in feed did not affect the level of fat, total protein, fat to protein content, urea levels, somatic cell counts in milk and cow yield. It can be concluded that the withdrawal of feed additives based on GM components does not adversely affect the technological quality of milk.