bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mesangial C3 Deposition, Complement-Associated Variant, and Disease Progression in IgA Nephropathy
Authors: Kang Yuqi , Xu Boyang , Shi Sufang , Zhou Xujie , Chen Pei , Liu Lijun , Li Yebei , Leng Yueqi , Lv Jicheng , Zhu Li , Zhang Hong 
Published: August 2023

Background
IgA nephropathy is the most common primary GN worldwide, with dominant deposition of IgA and co-deposits of complement component 3 (C3). Phenotypes and progression of IgA nephropathy varies among different ethnic populations, while patients with IgA nephropathy from Asia showed more severe clinical phenotypes, active kidney lesions, and rapid progression. Our previous genome-wide association study identified complement factor H (CFH) variant rs6677604, tightly linked with the deletion of CFH-related protein 3 and CFH-related protein 1 genes (ΔCFHR3-1), as IgA nephropathy susceptible variant, and additionally revealed its effect on complement regulation in IgA nephropathy.

Methods
To further explore the effect of rs6677604 on IgA nephropathy progression, here we enrolled a Chinese IgA nephropathy cohort of 1781 patients with regular follow-up for analysis. The rs6677604 genotype was measured, and the genotype-phenotype correlation was analyzed using the t test, the chi-squared test, or the nonparametric test, and the association between rs6677604 genotype or mesangial C3 deposition and IgA nephropathy prognosis was analyzed using Kaplan–Meier analysis and Cox regression.

Results
We found that patients with rs6677604-GG genotype had a stronger intensity of mesangial C3 deposition than those with the rs6677604-AA/AG genotype. Patients with IgA nephropathy who had stronger intensity of C3 deposition manifested with more severe clinical and pathological manifestations, including lower eGFR and higher Oxford-M/S/T/C (mesangial hypercellularity, endocapillary cellularity, segmental sclerosis, interstitial fibrosis/tubular atrophy, and crescent) scores. In the survival analysis, stronger intensity of mesangial C3 deposition, but not rs6677604-GG genotypes, was associated with poor long-term kidney outcome in IgA nephropathy.

Conclusions
We found that in Chinese patients with IgA nephropathy, variant rs6677604 was associated with mesangial C3 deposition, and mesangial C3 deposition, but not rs6677604, was associated with IgA nephropathy severity and progression.
Multi-Criteria Problems of Energy Consumption in Buildings Considering Technical and Economic Indices
Authors: Jumintono J. , Salim Mohammed Abdulkreem , Lin Ming-Hung , Alshalal Mohammed Hayder , Ali Muneam Hussein , Braiber Hassan Taher 
Published: August 2023

Abstract
This study focuses on economic modelling of the energy consumption in buildings considering controllable appliances scheduling in stand-alone electrical grids. The economic modelling is implemented via coordination of the energy generation of the renewable energies with controllable appliances by using demand shifting strategy (DSS). On the other side, uncertainty and stochastic modelling of the renewable energies are considered in the optimal coordination. Also, optimal coordination is modelled by multi-criteria problems of the technical and economic indices. Solving of the multi-criteria problem is done by fuzzy and augmented epsilon-constraint methods. To investigate the effectiveness of the proposed model, it is applied on a 25-node test system through defining two scenarios. The obtained results show that modelling the optimal coordination to supply the demand of the grid can increase the efficiency of the system.
Kein Wachstum ist auch keine Lösung: Eine Kritik an Degrowth- und Postwachstumsansätzen
Authors: Lindner Fabian 
Published: August 2023

Abstract
In the face of climate change and other ecological problems, the degrowth and post-growth approaches are gaining more and more supporters. However, these growth-critical approaches have many problems. While the critique of growth is justified in many areas, the contraction or stagnation of production is associated with negative social and political consequences, as it would most likely lead to massive distributional conflicts. Moreover, a shrinking or stagnating GDP could make the necessary decarbonisation of the economy more difficult, because the investment required for decarbonisation would be much harder to implement in such an economy than in a growing economy.
Zeit, die Details einer besseren Elementarschadenversicherung zu diskutieren
Authors: Groß Christian , Wagner Gert G. 
Published: August 2023

Abstract
Damage to residential buildings caused by natural disasters will increase as climate change progresses. However, in Germany not all buildings are insured against it. This article gives an overview on the current debate in Germany on how to improve the common state of insurance. We present new empirical evidence on the acceptance of natural disaster insurances and outline the key parameters that should be subject to regulation. This includes the types of natural disasters that should typically covered by such an insurance, the level of the deductible to be paid by the household, state support for paying off the deductible, ways to deal with risk clusters that single insurers might face, as well as the specification of a stop-loss threshold to cap the insurers’ financial risks.
Community Detection in Modular Complex Networks Using an Improved Particle Swarm Optimization Algorithm
Authors: Abduljabbar Dhuha Abdulhadi 
Published: August 2023

Community detection is an important and interesting topic for better understanding and analyzing complex network structures. Detecting hidden partitions in complex networks is proven to be an NP-hard problem that may not be accurately resolved using traditional methods. So it is solved using evolutionary computation methods and modeled in the literature as an optimization problem. In recent years, many researchers have directed their research efforts toward addressing the problem of community structure detection by developing different algorithms and making use of single-objective optimization methods. In this study, we have continued that research line by improving the Particle Swarm Optimization (PSO) algorithm using a local improvement operator to effectively discover community structure in the modular complex networks when employing the modularity density metric as a single-objective function. The framework of the proposed algorithm consists of three main steps: an initialization strategy, a movement strategy based on perturbation genetic operators, and an improvement operator. The key idea behind the improvement operator is to determine and reassign the complex network nodes that are located in the wrong communities if the majority of their topological links do not belong to their current communities, making it appear that these nodes belong to another community. The performance of the proposed algorithm has been tested and evaluated when applied to publicly-available modular complex networks generated using a flexible and simple benchmark generator. The experimental results showed the effectiveness of the suggested method in discovering community structure over modular networks of different complexities and sizes.
The Effects of Rhythm on Building Openings and Fenestrations on Airflow Pattern in Tropical Low-Rise Residential Buildings
Authors: Oforji Peter I. , Mba Emeka J. , Okeke Francis O. 
Published: August 2023

Effective passive airflow in low-rise residential buildings in hot-humid environment is crucial to maintaining good indoor thermal comfort for occupants. However, investigation of effects of the rhythm of window openings on achieving a passive airflow pattern in such buildings in the tropical climate of sub-Saharan Nigeria have been rarely studied. Therefore, this research aimed to evaluate the effects of the rhythm of window openings on passive airflow patterns for indoor thermal comfort in low-rise residential buildings in the hot-humid environment of Obosi, Nigeria. It involved experimental research using the Anemometer TA465 instrument for measuring wind velocity, relative humidity, and temperature of the purposively designated buildings in the three layouts of the study area for both wet and dry seasons. Employing the Yamane statistical formula, a sample size of 433 was obtained, and questionnaires were administered to occupants of the studied buildings and analyzed using categorical Regression Analysis (CATREG). The regression analysis showed that p=0.000, i.e. p<0.05 indicating that there was a significant relationship between the type and sizes of windows (elements used in measuring rhythm) and the intensity or force of breeze (a measure of passive airflow pattern). Further analysis of the data involved the use of Autodesk CFD 2018 (Computational Fluid Dynamics) for building wind flow simulations. The result showed variations in temperature levels (indications of differences in indoor thermal comfort) of various indoor spaces of the investigated designated floors and buildings, especially ground floors and the top-most floors of the buildings. The study underscored the need to use architectural rhythm design strategies to create a positive impact on airflow patterns in low-rise buildings, especially in densely built-up urban areas. The results of this study are instructive in noting that in order to attain passive airflow in buildings in the face of challenge of land restrictions, vertical stacking of building floors could be used once an adequate rhythm of window openings is adopted. Doi: 10.28991/CEJ-2023-09-08-016 Full Text: PDF
A Review of Advances in Peat Soil Stabilisation Technology: Exploring the Potential of Palm Oil Fuel Ash Geopolymer as a Soil Stabiliser Material
Authors: Amaludin Adriana Erica , Asrah Hidayati , Mohamad Habib M. 
Published: August 2023

This study aims to highlight the latest developments in the field of peat soil stabilisation technology via chemical stabilisation. The review examines the use of traditional stabilisers such as OPC and various non-traditional stabiliser materials, i.e., Palm Oil Fuel Ash (POFA)-OPC blends, chemical solutions, and geopolymer materials, to enhance the Unconfined Compressive Strength (UCS) characteristics of peat soils based on the ASTM D 4609 requirements. OPC, POFA-OPC blends, and alkaline solutions mostly produced stabilised soil samples that fell short of the ASTM requirements. Existing studies on the use of waste-derived geopolymers to treat peat soils are limited, while the use of POFA geopolymer materials has mostly focused on the improvement of clayey and silty soils. The results of soil stabilisation with geopolymer were very encouraging, as the strength gains were in line with the ASTM soil strength requirements. As a result of this review, it can be concluded that POFA geopolymer is a viable soil stabiliser material with the addition of Ground Granulated Blast Furnace Slag, and that the use of POFA-GGBFS geopolymer to enhance the strength properties of peat soils should be investigated. Doi: 10.28991/CEJ-2023-09-08-017 Full Text: PDF
Angiosarcoma de cuero cabelludo, diagnóstico diferencial y revisión de la literatura
Authors: Pacheco-Pacori Yvan Denis , Fernández-Palacios Javier 
Published: August 2023

El angiosarcoma del cuero cabelludo es un tumor de origen vascular, raro y agresivo, que afecta fundamentalmente a los ancianos. El principal problema de estos tumores es el diagnóstico clínico e histológico. Suele presentarse con placas o nódulos eritemato-violáceos, que evolucionan a la ulceración y sobreinfección, y son de mal pronóstico. Clínicamente, estas lesiones no son específicas del angiosarcoma, por lo que en el diagnóstico diferencial se incluye el sarcoma de Kaposi, entre otros sarcomas.Se presenta el caso de un paciente de sexo masculino de 59 años de edad, en quien se hizo el diagnóstico diferencial de lesiones del cuero cabelludo y, mediante estudio inmunohistoquímico del correspondiente grupo de anticuerpos, se llegó al diagnóstico definitivo de angiosarcoma.
Inmunodeficiencia combinada grave y psoriasis infantil, una rara asociación.
Authors: Rodríguez Lina María , Gómez Sebastián , Gómez Lina Vanessa , Ruiz Ana Cristina 
Published: August 2023

Las inmunodeficiencias combinadas graves son un grupo de enfermedades que pueden llegar a ser catastróficas. Además de producir infecciones recurrentes, pueden manifestarse en la piel con reacciones morbiliformes, eritrodermia o lesionesgranulomatosas, o simular una dermatitis seborreica o una enfermedad de injerto contra huésped.Previamente, se consideraba que las alteraciones autoinmunitarias y las inmunodeficiencias eran condiciones mutuamente excluyentes; sin embargo, en la actualidad se describe una asociación importante entre ambas. Pese a esto, la presentación concomitante de inmunodeficiencia combinada grave y psoriasis no había sido descrita en otros casos clínicos.El objetivo es presentar el caso de un paciente con esta rara asociación.
A Qualitative Study of Why Students Choose to Study Veterinary Nursing
Authors: Harniman Suzannah 
Published: August 2023

Veterinary nursing (VN) is a popular subject amongst undergraduate students, but due to the high attrition rates from the profession there is a shortage of registered VNs. By identifying the factors that motivated student VNs to enroll on their degree and persist to the final, it may be possible to enhance the support available for students when they are deciding whether to study VN. Online semi-structured interviews were used with 10 student participants from the final year of a BSc (hons) VN program. The data were analyzed using a six-step method of thematic analysis. The Situated Expectancy-Value Theory was used as a framework to interpret the results and allowed for an in-depth understanding of the participant's values and beliefs to be obtained. The results highlighted that a high intrinsic value for animals is a common reason for enrolling on the program, but that, partly due to the representation of the VN profession in marketing materials, at enrollment students do not seem to have a thorough understanding of the VN job role. As students’ progress through their training journeys, they develop a sense of professional identity that motivates them to continue, but they also gain an insight into the challenging reality of the VN role. VN marketing materials need to be improved to ensure they provide prospective student VNs with an accurate insight into the realities of the VN job role. They will then be in a position to make an informed choice to join the VN profession.
Detached Eddy Simulation of Unsteady Flow Past Square Cylinders
Authors: Dong Xiaojia 
Published: August 2023

<p>In this thesis, the Detached Eddy Simulation (DES), available in ANSYS-FLUENT) is employed to solve 2D unsteady flow over double cylinders in tandem for three different pitches and a Reynolds number of 22,000. With proper choice of mesh sizes and time steps, the DES is found to yield accurate results at affordable computing cost. Effects of pitch to diameter ratios on the lift and drag forces in the spatial and temporal domains are investigated. The simulation results are useful in studying cross-flow flow induced vibration of slender structures. </p>
Multi-Criteria Decision-Making Approach with Interval-Valued Intuitionistic Fuzzy Assessment for Green Supplier Evaluation and Selection
Authors: Hashsmi Bushra Ahsan 
Published: August 2023

<p>Becoming climate positive is the objective businesses, which have recently started to focus on and research about to curb the ever-increasing climate challenges while being profitable efficiently. In the pursuit of integrating environmental aspects into conventional supply chains, the concepts of green supply chain and supplier selection have emerged that become increasingly complex due to current economic globalization. In this research, we have proposed a green supplier selection methodology based on a comprehensive set of criteria and interval-valued intuitionistic fuzzy assessment of alternatives for realistic decisions. The three phases of the methodology constitute pertinent criteria selection incorporating environmental and social aspect, the assessment of alternatives in an interval-valued intuitionistic fuzzy environment through an integrated multi- criteria decision-making approach comprising best-worst method (BWM) and technique for order preference by similarity to ideal solution (TOPSIS) with cosine similarity measure and finally the sensitivity analysis. We have supported the proposed methodology by illustrative example considering a real-world scenario. </p>
Exploring weight bias internalization in young women: a multi-methods approach
Authors: Friedman Aliza 
Published: August 2023

<p> Weight bias internalization occurs when individuals accept negative societal weight- and shapebased attitudes and direct them towards themselves. Although this construct is typically explored among individuals with a higher body weight, there is a growing amount of evidence suggesting that weight-based stigma experiences and subsequent internalization occur across the weight spectrum. The overall aim of this dissertation was to better understand the construct of weight bias internalization in a group of individuals not typically conceptualized as being negatively impacted by weight-based stigma: young women predominantly in the normal-weight range. Study 1 (N = 196) examined correlates of weight bias internalization and other related internalization constructs (self-objectification, thin ideal internalization). Using a hierarchical multiple regression approach, weight bias internalization was found to predict measures of disordered eating (binge eating, emotional eating, and dietary restraint), body shape concerns, and psychological distress over and above the influences of the other internalization measures. These results potentially underscore the importance of assessing and treating weight bias internalization among young women; however, the high correlation between weight bias internalization and body shape concerns suggest that these variables may instead represent similar constructs. Study 2 built upon these findings by exploring the comparative effects of two strategies aimed at reducing weight bias internalization (teaching participants self- providing psychoeducation about weight regulation) and a control condition using a pre-post, single session study design. Participants (N = 123) demonstrating at least moderate levels of weight bias internalization on a pre-screen measure were randomly assigned to one of three conditions: Self-Compassion, Psychoeducation, or a Control condition. Relative to the Control group, participants in both active treatment conditions demonstrated significant reductions in weight bias internalization and improvements in appearance state self-esteem. Participants in the Psychoeducation condition also reported significantly lower endorsement of weight control beliefs (relative to both comparison groups) and significantly greater endorsement of healthy lifestyle beliefs (relative to the control group). Between-group differences in affect, body shape concerns, self-compassion, and fear of self-compassion were non-significant. These findings suggest that both enhancing self-compassion and providing accurate psychoeducation about weight regulation may help to reduce weight bias internalization among young women. </p>
Pengenalan Wajah 3D dengan menggunakan PointNet
Authors: Arif Hidayah  , Dewantara Bima Sena bayu , Pramadihanto Dadet 
Published: August 2023

Pengenalan wajah tiga dimensi (3D) telah menjadi topik penelitian yang menarik karena mampu mengatasi keterbatasan pengenalan wajah dua dimensi (2D) dalam menghadapi perubahan pose, pencahayaan, dan pemalsuan. Penelitian ini mengusulkan sebuah pipeline pengenalan wajah 3D yang invarian terhadap perubahan cahaya, dengan menggunakan teknik segmentasi euclidean clustering dan Convolutional Neural Network (CNN) PointNet. Data wajah diambil menggunakan kamera Time-of-Flight yang menghasilkan titik awan (point cloud). Proses segmentasi euclidean clustering berhasil memisahkan area wajah dengan akurat, membantu dalam pengenalan wajah 3D. Melalui pelatihan dengan 217 dataset dan 2048 titik per wajah, sistem mencapai akurasi pelatihan sebesar 99% dan akurasi validasi sebesar 84,4%, dengan loss pelatihan sebesar 1% dan loss validasi sebesar 15,6%. Evaluasi pada tiap kelas menunjukkan rata-rata akurasi 0.9887471867966992, presisi 0.8255813953488372, recall 0.8255813953488372, dan F1-score 0.8255813953488372. Hasil menunjukkan bahwa pipeline pengenalan wajah 3D ini memiliki potensi besar dalam aplikasi keamanan, pengawasan, dan pengenalan objek di lingkungan yang kompleks.

Three-dimensional (3D) face recognition has emerged as an intriguing research topic, addressing the limitations of two-dimensional (2D) face recognition in handling pose variations, lighting changes, and spoofing. This study proposes an illumination-invariant pipeline for 3D face recognition, utilizing the euclidean clustering segmentation technique and Convolutional Neural Network (CNN) PointNet. Facial data is captured using a Time-of-Flight camera, generating point clouds. The euclidean clustering segmentation effectively isolates facial regions, aiding in 3D face recognition. After training with 217 datasets and 2048 points per face, the system achieved 99% training accuracy and 84.4% validation accuracy, with 1% training loss and 15.6% validation loss. Class-wise evaluation yielded an average accuracy of 0.9887471867966992, precision of 0.8255813953488372, recall of 0.8255813953488372, and F1-score of 0.8255813953488372. The results highlight the significant potential of this 3D face recognition pipeline in security, surveillance, and object recognition in complex environments.
Sıraç Alevilerinde Orta Çağ Tarikatlarından Yesevîlik ve Bektaşilik İzleri: Hafik Beydili ve Tokat Hubyâr Örneği
Authors: MAZLUM Ahmet , GÜRTAŞ DÜNDAR Derya 
Published: August 2023

Son yılların gerek akademide gerekse akademi dışındaki entelektüel camiada en çok ele alınan, tartışılan, farklı bakış açılarıyla ortaya konulmaya çalışılan konulan konulardan bir tanesi de Alevilik konusudur. Bazı çalışmalar Aleviliğin inanç boyutu üzerine odaklanırken, bazı çalışmalar da Aleviliğin siyasal boyutunu irdelemektedir. Günümüzde Alisiz Alevilik, Aleviliğin bir mezhep olmayıp siyasal bir itiraz olduğu, Cumhuriyetin kuruluşuyla birlikte kentlileşen bir yaşam tarzı olduğu, diğer yandan da Aleviliğin Orta Asya Şaman Türklüğünün günümüze kadar ulaşmış biçimi olduğu konuları bu tartışmaların odak konusunu oluşturmaktadır.
Bu çalışmanın amacı bahsedilen bu tartışma konularına angaje olmak değildir. Aleviliği verili bir durum kabul ederek tasavvuf ve inanç boyutundaki Ortodoksi diyebileceğimiz ibadet ritüellerini spesifik bir grup olarak Sıraç ve Hubyar Alevileri üzerinden değerlendirme amacındadır. Avrupa, Orta çağ döneminin Kilise karanlığını yaşarken Anadolu’da Ahmet Yesevî (11. ve 12. yüzyılda yaşamış) ve Hacı Bektaş-ı Veli gibi düşünür ve dinsel önderler daha hümanist ve kadın-erkek ilişkisi anlamında daha eşitlikçi bir görüşü temsil ediyordu. Bu iki düşünürün görüşleri ve dinsel önerileri günümüzde Sivas Beydili Sıraç Alevileri ve Tokat yöresi Hubyar Alevileri tarafından sıkı bir biçimde uygulanmaktadır. Ortodoksi bir katılıkta uygulanan bu ibadet ritüelleri çalışmanın temel konusunu oluşturmaktadır.
Metodolojik olarak tarihsel süreç içerisindeki gelişim değerlendirilmiş ve Orta çağda yaşamış bu düşünürlerin günümüzdeki dinsel varislerinin bu konudaki inanç ve uygulamaları ele alınmıştır. Bu çalışma nitel araştırıma deseni olan Odak Grup görüşmesi kullanılarak gerçekleştirilmiştir. Ahmet Yesevî ve Hacı Bektaş-ı Veli geleneğini sürdüren Sıraç Alevilerinden, farklı illerde yaşayan 8 kişi ile yüz yüze ve telefonla görüşme yapılmıştır. Katılımcıların görüş ve düşünceleri aktarıldıktan sonra zaman zaman tarihsel karşılaştırmalar yapılarak bahsedilen geleneğin günümüzde ne kadar sürdürüldüğü ortaya konulmaya çalışmıştır.