bluuebunny/crossref_metadata_2025_split huggingface dataset:
Practical Implications of Using an Online Data-Driven Optimizer for Calcium-Treated Steels
Authors: Kuthe Sudhanshu , Rössler Roman , Glaser Björn 
Published: August 2024

AbstractCalcium (Ca) additions during secondary steelmaking are a well-adopted practice to transform solid oxide non-metallic inclusions (NMIs) into globular-shaped liquid oxides. The claimed hypothesis that liquid NMIs reduce SEN clogging has been proven in the past by researchers. However, the exact quantity of Ca needed to transform the physical state of NMIs during steelmaking remains uncertain. Operators in the steel plant use a consistent quantity of Ca additions for specific steel grades, but this approach does not account for the varying physical states and evolving dynamics of NMIs characteristics in each ‘heat’. To overcome this, a study was conducted to explore the impact of varying Ca additions on the transformation and behavior of NMIs in low-alloyed Ca-treated steel grades. The aim was to establish a more reliable and responsive approach to Ca treatment, potentially leading to more effective control in preventing submerged entry nozzle (SEN) clogging. The proposed methodology involved online monitoring of NMIs state coupled with controlled variations in Ca addition, deviating from fixed quantity, to observe its effects on NMIs state transformations. Through careful analysis of collected data and the implementation of a data-driven optimizer, this study reports the practical implications of using optimal amounts of Ca during secondary steelmaking. The resulting change due to dynamic calcium silicide (CaSi)-cored wire additions and their impact on SEN clogging were evaluated. The findings reveal the significant role of optimal CaSi wire additions, leading to improved steel castability and a notable 30 pct reduction in SEN clogging tendencies. The results obtained after the implementation of the data-driven optimizer ‘ClogCalc’ have significant implications for steel manufacturers, offering new insights into enhancing Ca treatment efficiency.
Management Approaches for High-Risk Cutaneous Squamous Cell Carcinoma with Perineural Invasion: An Updated Review
Authors: Catalano Martina , Nozzoli Filippo , De Logu Francesco , Nassini Romina , Roviello Giandomenico 
Published: August 2024

Opinion StatementCutaneous squamous cell carcinoma (cSCC) stands as the second most prevalent non-melanoma skin cancer worldwide, comprising approximately 20% of all cutaneous malignancies. Determining its precise incidence poses challenges; however, reports indicate a global increase in its prevalence. At the time of diagnosis, the majority of cSCCs are localized, resulting in favorable 5-year cure rates surpassing 90%. Nevertheless, a subset of patients (3–7%) encounters locally advanced or metastatic cSCC, leading to substantial morbidity and mortality. The risk of metastasis ranges from 0.1% to 9.9%, carrying an associated mortality risk of 2.8%. Factors influencing recurrence, metastasis, and disease-specific mortality underscore the significance of perineural invasion (PNI) as a key indicator. Patients with PNI may manifest clinical symptoms and/or radiologic signs of PNI, while the majority remain asymptomatic, and PNI is frequently identified upon histologic examination. Despite its lower frequency compared to other cancer types, PNI serves as a recognized adverse prognostic factor for cSCC. Surgery is the elective treatment for these patients, while the role of adjuvant radiotherapy (ART) is yet contentious and have not been conclusively assessed, particularly in clear surgical margin. Prospective comparative studies are required to comprehensively evaluate the benefit and the risks of ART for cSCC and PNI patients.
Contactless integrated photonic probes: fundamentals, characteristics, and applications
Authors: Wu Guangze , Wan Yuanjian , Wang Zhao , Hu Xiaolong , Zeng Jinwei , Zhang Yu , Wang Jian 
Published: August 2024

AbstractOn-chip optical power monitors are indispensable for functional implementation and stabilization of large-scale and complex photonic integrated circuits (PICs). Traditional on-chip optical monitoring is implemented by tapping a small portion of optical power from the waveguide, which leads to significant loss. Due to its advantages like non-invasive nature, miniaturization, and complementary metal-oxide-semiconductor (CMOS) process compatibility, a transparent monitor named the contactless integrated photonic probe (CLIPP), has been attracting great attention in recent years. The CLIPP indirectly monitors the optical power in the waveguide by detecting the conductance variation of the local optical waveguide caused by the surface state absorption (SSA) effect. In this review, we first introduce the fundamentals of the CLIPP including the concept, the equivalent electric model and the impedance read-out method, and then summarize some characteristics of the CLIPP. Finally, the functional applications of the CLIPP on the identification and feedback control of optical signal are discussed, followed by a brief outlook on the prospects of the CLIPP.
Graphical Abstract
How an Android Expresses “Now Loading…”: Examining the Properties of Thinking Faces
Authors: Namba Shushi , Sato Wataru , Namba Saori , Diel Alexander , Ishi Carlos , Minato Takashi 
Published: August 2024

AbstractThe “thinking face” is a facial signal used to convey being in thought. For androids, the thinking face may be important to achieve natural human–robot interaction. However, the facial pattern necessary for portraying the thinking face remains unclear and has not yet been investigated in androids. The current study aims to (a) identify the facial patterns when people are engaged in answering complex questions (i.e., thinking face) and (b) clarify whether implementing the observed thinking faces in an android can facilitate natural human–robot interaction. In Study 1, we analyze the facial movements of 40 participants after they are prompted with difficult questions and indicate five facial patterns that corresponded to thinking faces. In Study 2, we further focus on the pattern of furrowing of the brows and narrowing of the eyes among the observed thinking facial patterns and implement this pattern in an android. The results show that thinking faces enhance the perception of being in thought, genuineness, human-likeness, and appropriateness in androids while decreasing eeriness. The free-description data also revealed that negative emotions are attributed to the thinking face. In Study 3, we compared the thinking vs. neutral faces in a question–answer situation. The results showed that the android's thinking face facilitated the perception of being in thought and human-likeness. These findings suggest that the thinking face of androids can facilitate natural human–robot interaction.
To waste or not to waste: a multi-proxy analysis of human-waste interaction and rural waste management in Indus Era Gujarat
Authors: Chakraborty Kalyan Sekhar , Bestel Sheahan , Lucus Mary , Roberts Patrick , Shirvalkar Prabodh , Rawat Yadubirsingh , Larsen Thomas , Miller Heather M. -L. 
Published: August 2024

AbstractWaste management is paramount to town planning and ancient civilizations across the world have spent resources and mobilized labor for waste disposal and reuse. The study of waste management practices offers a unique window into the daily lives, social organization, and environmental interactions of ancient societies. In the Indus Valley Civilization, known for its urban planning, understanding waste disposal in rural settlements provides crucial insights into the broader socio-economic landscape. While extensive research has documented sophisticated waste management systems in urban Indus centers, little is known about practices in rural settlements. This gap limits our understanding of regional variations and rural-urban dynamics within the civilization. In this paper, using isotopic and microscopic proxies, we characterize the waste disposed of at the rural Indus settlement of Kotada Bhadli to reconstruct the sources of waste, including heated animal dung, and burned vegetation. We propose that rural agro-pastoral settlements in Gujarat during the Indus Era systematically discarded such waste in specific locations. By characterizing waste produced at Kotada Bhadli, we are also able to reconstruct the natural environment and how the natural and cultural landscape around the settlement was exploited by the residents of the settlement for their domestic and occupational needs. Our identification of the attention paid to waste disposal by the inhabitants of Kotada Bhadli adds significant data to our understanding of waste disposal as an insight into past lives.
Mapping actor networks in global multi-stakeholder initiatives for food system transformation
Authors: van den Akker Amber , Fabbri Alice , Slater Scott , Gilmore Anna B. , Knai Cecile , Rutter Harry 
Published: August 2024

AbstractThere is growing recognition that global food system transformation requires a fundamental shift in norms, perspectives and structural inclusion and exclusion of different actors in decision-making spaces. As multistakeholder governance approaches become increasingly common, significant concerns have been raised about their ability to deliver such change. Such concerns are based on case study findings repeatedly highlighting their susceptibility to corporate capture. This study goes beyond individual case studies, examining global multi-stakeholder initiatives (MSIs) whose stated aim is to drive a healthier and more sustainable food system. It identified and categorised actors within these MSIs, drawing on social network analysis to provide insights into actor centrality, power structures, and how this might impact MSIs’ potential to drive transformative change. Thirty global MSIs were included in our sample, including a total of 813 actors. Most actors were based in high-income countries (HIC) (n = 548, 67%). The private sector (n = 365, 45%) was the most represented actor category, comprising transnational corporations (TNCs) (n = 127) and numerous others representing their interests. NGOs, affected communities and low- and middle-income country actors remain underrepresented. The central involvement of TNCs which rely on the production and sale of unhealthy and unsustainable commodities represents a clear conflict of interest to the stated objectives of the MSIs. These findings lend weight to concerns that MSIs may reflect rather than challenge existing power structures, thus serving to maintain the status quo. This indicates a need to critically examine the use of multistakeholder governance approaches and their ability to drive global food system transformation.
Interdisziplinäre Therapieansätze der systemischen Sklerose
Authors: Wunderlin Chantal , Napp Simone , Siegwart Demian , Gerber Eve-Yaël , Bonati Leo , Behrendt Frank , Buslau Michael , Schuster-Amft Corina , Gerth Hans Ulrich 
Published: August 2024

Zusammenfassung
Hintergrund
Die Weiterentwicklung medikamentöser und nichtmedikamentöser Therapien der systemischen Sklerose (SSc) stellt in der praktischen Anwendung aufgrund der geringen Prävalenz und Heterogenität der Erkrankung oft eine große Herausforderung dar.

Fragestellung
Zusammenfassung aktuell verfügbarer Therapieoptionen inklusive wissenschaftliche Evidenz, praktische Empfehlungen und aktuelle Leitlinien.

Material und Methode
Auswertung von Studien, Metaanalysen, Übersichtsarbeiten sowie Expertenempfehlungen.

Ergebnisse
Eine Aktualisierung der europäischen Leitlinie zur medikamentösen Therapie ist in Vorbereitung. Die aktualisierte Version führt neben Methotrexat und Cyclophosphamid neu auch Rituximab, Mycophenolat, Nintedanib und Tocilizumab zur Therapie der interstitiellen Lungenerkrankung bzw. Hautfibrose auf. Für verschiedene nichtmedikamentöse Therapien konnten in mehreren Studien Effekte auf verschiedene Symptome der SSc nachgewiesen werden. Dazu gehören insbesondere eine Funktionsverbesserung, Schmerzreduktion und Steigerung der Lebensqualität.

Schlussfolgerung
Die zunehmende Erweiterung der Therapiemöglichkeiten ermöglicht eine individuelle Behandlung in Abhängigkeit vom Phänotyp der Erkrankung.
A citizen-candidate model of party formation
Authors: Bhattacharya Mihir 
Published: August 2024

AbstractThere are multiple models of party formation in the political economy literature. However, most of these works consider individuals as parties and do not model parties as a group of candidates. In this paper, we follow the latter approach and assume that parties form as a result of mutually agreeable links between candidates. We consider a citizen-candidate model of electoral competition where candidates decide whether they want to participate in election alone or offer links to adjacently placed candidates on a one-dimensional policy space. We characterize one-party and two-party equilibrium and show that no multi-party equilibrium exists with three or more parties. We provide conditions on the rents of winning with respect to the cost of participating in election which also depend on the number of candidates. We provide new insights which explain party formation from the perspective of group formation. Our results confirm the Duverger’s law and are consistent with empirical evidence on plurality voting systems.
The revolution of metaverse in surgery: a mini-review with video
Authors: Ammendola Michele , Memeo Riccardo , Al Ansari Mohanad 
Published: August 2024

AbstractThe virtual reality (VR) is an application in which people can interact each other with their own avatars. Metaverse has already been tested in numerous medical fields and health care as telemedicine, second opinion and remote discussion, but in surgery some fundamental concepts are not yet very widespread. In this study, we want to show our surgery and workshop experiences in the Metaverse to demonstrate the safety and efficiency of this new technology in surgery, in particular for telementoring and remote surgery, combining artificial intelligence (AI), augmented reality (AR) and VR.
3D printed microneedles: revamping transdermal drug delivery systems
Authors: Prabhu Ashlesh , Baliga Vishal , Shenoy Raghavendra , Dessai Akanksha D. , Nayak Usha Y. 
Published: August 2024

AbstractOne of the advancements of the transdermal drug delivery system (TDDS) is the development of microneedles (MNs). These micron-sized needles are used for delivering various types of drugs to address the disadvantage of other transdermal techniques as well as oral drug delivery systems. MNs have high patient acceptance due to self-administration with minimally invasive and pain compared to the parenteral drug delivery. Over the years, various methods have been adopted to evolve the MNs and make them more cost-effective, accurate, and suitable for multiple applications. One such method is the 3D printing of MNs. The development of MN platforms using 3D printing has been made possible by improved features like precision, printing resolution, and the feasibility of using low-cost raw materials. In this review, we have tried to explain various types of MNs, fabrication methods, materials used in the formulation of MNs, and the recent applications that utilize 3D-printed MNs.
Evaluation of Some Heavyweight Minerals as Sustainable Neutron and Gamma-Ray Attenuating Materials: Comprehensive Theoretical and Simulation Investigations
Authors: Zayed Ahmed M. , El-Khayatt Ahmed M. , Mahmoud Karem A. , Petrounias Petros , Masoud Mostafa A. 
Published: August 2024

AbstractThis study comprehensively evaluates the radiation attenuation efficiencies of hematite and barite, commonly used materials in radiation shielding, using theoretical and simulation investigations. The MCNP-5 code was used to obtain the linear attenuation coefficient (LAC) within the energy range of 0.015–15 MeV, with validation by the XCOM program. Based on these LAC values, various gamma-ray shielding parameters were determined: mass attenuation coefficient, half-value layer, radiation protection capacity, mean free path, transmission factor, and equivalent thickness to lead (ETPb). Additionally, effective atomic number (Zeff) and electron density (Neff) were calculated, including both single-energy and energy-dependent forms for photon absorption and interaction. Furthermore, MCNP-5 simulations and NGCal program calculations were used to assess thermal neutron attenuation, while the NXcom program determined fast neutron behavior. This analysis revealed superior γ-ray shielding for barite compared to hematite. Similarly, the NXcom program indicated better fast neutron shielding for barite. However, interestingly, simulations validated a 210% higher effectiveness in thermal neutron attenuation for hematite. Finally, comparing the studied materials with other shielding materials demonstrated promising potential as environmentally friendly alternatives for effective shielding against various radiation types.
Action research communities as a whole-of-school teaching improvement initiative: a multi-method multi-informant study
Authors: Lynch David , Vo Hoi , Yeigh Tony , Marcoionni Tina , Madden Jake , Turner David 
Published: August 2024

AbstractProfessional learning communities (PLCs) actioned through collaborative action research (CAR) have been found in the literature to be beneficial for both teachers and students. However, previous studies mainly examined teachers’ perceived effectiveness of CAR-based PLCs, as well as identified steps and elements involved in such PLCs, either self-initiated by teachers themselves or by university researchers in a school-university partnership model. Few have focused on a whole-of-school teaching improvement initiative based entirely on PLCs through CAR. In this study, we provide preliminary evaluation of a 3-year whole-of-school teaching improvement initiative (the SETaRI), based on PLCs through CAR at a regional primary school in NSW, Australia. Analysis of students’ various assessment measures (N = 206), teachers’ survey (N = 44), observation of professional learning team meetings, and various types of student artefacts revealed that students showed general and consistent improvement in both their reading and maths performance over time following the implementation of the SETaRI model, with greater progressive learning effects for those whose initial learning outcomes were lower than their peers. The findings also highlighted data-driven decision making, teacher collaboration, and school leadership as potent elements underlying teachers’ positive attitudes toward the implementation of the model as well as student learning outcomes and improvement. This study provides useful implications for a school improvement agenda focused on action research communities.
Implementing a rainwater harvesting system in an arid region with an LCA approach
Authors: Amani S. , Rezaee M. 
Published: August 2024

Abstract
The purpose of this study is to compare the life cycle assessment and reliability of different rainwater harvesting (RWH) systems in residential buildings in Tehran for a period of 50 years. Four main scenarios based on the number of stories (1, 2, 3, and 4) each including five sub-scenarios based on the size of the rainwater storage tank (2.5m3, 5m3, 7.5m3, 10m3, 12.5m3) and one using solely tap water were defined. Simapro software was used for life cycle assessment which was carried out using the endpoint and midpoint methods. The collected rainwater is assumed to be merely used to fill flush tanks and if it cannot satisfy this demand, tap water will be used. The results show that in an arid city like Tehran, collecting rainwater does not even come close to meeting non-potable water needs, and in most scenarios, tap water must be used for more than half of the days. Despite the low reliability of RWH systems, they perform better than tap water in most environmental impact categories because the processes used to produce tap water have the highest contribution to environmental damage. Among the sub-scenarios that use rainwater for flush tank demands, in almost all environmental impact categories, sub-scenarios that collect more rainwater (higher storage tank sizes) have better performance. The performance of sub-scenarios that use more rainwater is better in the endpoint environmental categories of ecosystems and human health; however, this trend is the opposite in the impact category of resources.

Graphical abstract
HRDLNet: a semantic segmentation network with high resolution representation for urban street view images
Authors: Chen Wenyi , Miao Zongcheng , Qu Yang , Shi Guokai 
Published: August 2024

AbstractSemantic segmentation of urban street scenes has attracted much attention in the field of autonomous driving, which not only helps vehicles perceive the environment in real time, but also significantly improves the decision-making ability of autonomous driving systems. However, most of the current methods based on Convolutional Neural Network (CNN) mainly use coding the input image to a low resolution and then try to recover the high resolution, which leads to problems such as loss of spatial information, accumulation of errors, and difficulty in dealing with large-scale changes. To address these problems, in this paper, we propose a new semantic segmentation network (HRDLNet) for urban street scene images with high-resolution representation, which improves the accuracy of segmentation by always maintaining a high-resolution representation of the image. Specifically, we propose a feature extraction module (FHR) with high-resolution representation, which efficiently handles multi-scale targets and high-resolution image information by efficiently fusing high-resolution information and multi-scale features. Secondly, we design a multi-scale feature extraction enhancement (MFE) module, which significantly expands the sensory field of the network, thus enhancing the ability to capture correlations between image details and global contextual information. In addition, we introduce a dual-attention mechanism module (CSD), which dynamically adjusts the network to more accurately capture subtle features and rich semantic information in images. We trained and evaluated HRDLNet on the Cityscapes Dataset and the PASCAL VOC 2012 Augmented Dataset, and verified the model’s excellent performance in the field of urban streetscape image segmentation. The unique advantages of our proposed HRDLNet in the field of semantic segmentation of urban streetscapes are also verified by comparing it with the state-of-the-art methods.