bluuebunny/crossref_metadata_2025 huggingface dataset:
How Could They Win? An Exploration of Win Condition for Esports Narratives in Dota 2
Authors: Pedrassoli Chitayat Alan , Block Florian , Walker James A. , Drachen Anders
Published: October 2024

Data analytics is commonly used to enable storytelling and enhance esport coverage. One prominent use of it is win prediction, where machine learning models predict the winner of the game before its conclusion. However, predictions are most commonly results of black-box systems, forcing commentators to produce ad-hoc interpretations. Additionally, broadcasters generally rely other metrics to build narratives, limiting the impact of win prediction models for storytelling. This paper explores an alternative method to win prediction, identifying the needs of broadcasters to guide development of a novel win condition model. By focusing on existing storytelling points, the proposed win condition model can offer greater storytelling opportunities to broadcasters, focusing on the user needs identified from within the esport domain. Rather than utilising game state data to predict the winner, as it is usually done in win prediction, the proposed win condition model uses an exploration of the possible winners to predict the game state needed for each team to win. Lastly, the features identified for win condition are evaluated through a series of machine learning models, which provide a data-driven metric to test and predict win condition in the context of Dota 2, a popular esport title.
Juicy Audio: Audio Designers' Conceptualization of the Term in Video Games
Authors: Hicks Kieran , Rogers Katja , Gerling Kathrin , Nacke Lennart E.
Published: October 2024

While juiciness in games has previously been explored in the context of visual embellishments, less is known about whether and how the concept is leveraged in the context of audio and sound design. In our work, we address this issue through in-depth interviews with twelve audio designers working in the games industry. Through thematic analysis and content analysis, we show that principles of juicy design also apply to audio and sound design, and that it is applied intentionally to improve player feedback and experience. On this basis, our work contributes a conceptual foundation for juicy audio in its key factors of emphasis/augmentation, cohesion/coherence, and synesthesia. We identify associated attributes and provide implications for the design of games that seek to leverage juicy audio as a means of improving player experience.
Learning from Users: Everyday Playful Interactions to Support Architectural Spatial Changes
Authors: Çetin Er Cansu , Özcan Oguzhan
Published: October 2024

While there's growing interest in eliciting situated playful interactions with technologies in different contexts, how these interactions might shape everyday spaces still needs to be fully explored. To address this gap, this article aims to guide the architectural spatial changes by exploring everyday playful interactions of technology-adopted users in domestic spaces. We present our contributions in a two-fold study: First, through an extensive diary study involving 13 technology-adopted residents in gated communities, where distinct boundaries offer increased opportunities for playful interactions, we identified four playful themes: (1) creating and expanding play-spaces, (2) balancing play and comfort, (3) intertwining imagination with spatial experience, and (4) gamifying household interactions. Secondly, by building on these themes, we outline three design implications to inform architectural design processes, aiming to translate everyday playful interactions into tangible spatial changes. These implications include adapting shape-changing and wearable technologies for playful flexibility, embedding new forms of communications within infrastructures, and turning homes into interactive entities with multi-sensory technologies. While these findings provide a starting point for exploring new architectural design possibilities in similar environments, further research with architects, policymakers, and design researchers in the Human-Computer Interaction (HCI) and Human-Building Interaction (HBI) fields is essential to actualizing these changes.
Mod Installation as Reclaiming Representational Diversity: The Role of Aesthetic Agency in Stardew Valley
Authors: Cook Sid , Semaan Bryan
Published: October 2024

Media (e.g., film) are often designed around cisgender, heternormative logics and are not representative of the multiplicity of identities and identity expressions that exist in the world. Thus, media impedes the identity expression and performance of the communities who use them, as we do not see many parts of our identities represented or find that our identities are misrepresented. Video games, which are a genre of media, are especially problematic in how they perpetuate heteronormative normative logics. Unlike most media, however, video games give people agency over the aesthetics of game worlds--the characters and narratives--through the installation of mods. We conducted a content analysis coupled with a triangulation of mods through personal experience focused on the widely popular farming simulation game Stardew Valley. Drawing on a conceptual lens bringing together theories of identity and aesthetic agency, we highlight how the aesthetic agency afforded by mod installation provides opportunities for reclaiming representational diversity in game worlds along the following dimensions: sex and intimacy, gender and sexuality, race and ethnicity, and body diversity. We discuss the implications of mod installation, exploring its potential relationship with identity work and identity play. We then propose design guidelines for achieving aesthetic alignment.
Participatory Design of an Embodied Mixed Reality Experience Aimed to Assessing Individual and Collaborative Behaviors of Children
Authors: Gali Olga , Tüter Gözde , Ercan Sena Beste , Delgado Óscar , Atherton Gray , Cross Liam , Pares Narcis
Published: October 2024

This study is part of a broader project exploring the integration of Mixed Reality (MR) in fostering prosocial behaviors among children, particularly focusing on interpersonal synchrony (IPS) and its impact on collaboration. IPS, the coordination of rhythmic movements among individuals, has been associated with improved group cohesion and prosocial behaviors, such as collaboration. Traditional assessments of prosociality typically involve structured play activities for dyads, making them difficult to adapt to other settings. To address these limitations, this research aims to design a flexible embodied MR experience that allows children to choose between collaborative or individual engagement, reflecting the natural dynamics of children's play interactions. For this purpose, we conducted an embodied participatory design (PD) and usability study with 50 children aged 8-10 years. We provide a detailed account on how the PD process was orchestrated and an evaluation of user-system interaction, children's perceptions of play modes, and experience satisfaction. The results show how the MR experience, codesigned with children, supports a free play environment, allowing children to choose their preferred play mode. This study highlights the potential of MR in psychological research and child development, providing a new avenue for assessing individual and collaborative behaviors in larger groups of children.
Are stress and engagement in toxicity associated with sleep quality? A study with League of Legends players
Authors: Kordyaka Bastian , Laato Samuli , Weber Sebastian , Niehaves Björn
Published: October 2024

Today, millions of people worldwide play popular multiplayer online battle arena games (MOBAs) such as League of Legends. MOBAs are designed to require real-time teamwork to win games. A side effect of this is toxic behavior (an umbrella term for various negative in-game behaviors). Following Transactional Stress Theory, in this study, we consider toxicity as a coping mechanism to better deal with in-game stress that leads to anger and frustration, potentially leading to subsequent sleep problems. Therefore, we asked League of Legends players (N=212) about their experiences within the last 30 days in a retrospective survey study. Our results indicated that perceived stress was, indeed, a positive predictor of sleeping problems, and toxic behavior partially mediated this relationship. These results indicate that some of the toxicity is caused by stress in play and that it may increase the likelihood of the occurrence of subsequent sleeping problems. Therefore, further efforts are needed to help players to develop harmonious means and techniques for coping with experienced in-game stress.
The Jade Gateway to Exergaming: How Socio-Cultural Factors Shape Exergaming Among East Asian Older Adults
Authors: Hadi Mogavi Reza , Son Juhyung , Yang Simin , Wang Derrick M. , Choong Lydia , Alhilal Ahmad , Zhou Peng Yuan , Hui Pan , Nacke Lennart E.
Published: October 2024

Exergaming, blending exercise and gaming, improves the physical and mental health of older adults. We currently do not fully know the factors that drive older adults to either engage in or abstain from exergaming. Large-scale studies investigating this are still scarce, particularly those studying East Asian older adults. To address this, we interviewed 64 older adults from China, Japan, and South Korea about their attitudes toward exergames. Most participants viewed exergames with a positive inquisitiveness. However, socio-cultural factors can obstruct this curiosity. Our study shows that perceptions of aging, lifestyle, the presence of support networks, and the cultural relevance of game mechanics are the crucial factors influencing their exergame engagement. Thus, we stress the value of socio-cultural sensitivity in game design and urge the HCI community to adopt more diverse design practices. We provide several design suggestions for creating more culturally approachable exergames.
Towards Ethical AI Moderation in Multiplayer Games
Authors: Sparrow Lucy A. , Galwey Ren , Jovic Dahlia , Hardwick Taylor , Butt Mahli-Ann
Published: October 2024

AI is increasingly being used to moderate player behaviour in online multiplayer games, working to identify and respond to toxic and problematic conduct with greater efficiency and accuracy than existing automated systems. However, little work has explored the application of AI moderation in the gaming ecosystem, despite growing ethical concerns about AI applications in other domains. In this study, we conducted 2 expert workshops and interviewed 26 players and industry professionals on their understandings, perceptions and experiences with AI moderation in multiplayer games. Applying a metaphorical frame via template analysis, we outline four metaphors that capture participants' views on the roles of AI and automation in moderation: the Unreliable Police Force, the Unscrupulous Governor, the Uncaring Judge, and the Untiring Assistant. We discuss these roles as exacerbating a top-down, punitive online justice system and identify ethical concerns around transparency, fairness and inclusion, privacy, and human-AI collaboration. To address these concerns, we put forward a set of ethical design considerations and alternative roles for AI moderation in multiplayer games.
Toxicity by Game Design: How Players Perceive the Influence of Game Design on Toxicity
Authors: Zhang Zinan , Moradzadeh Sam , Woan Andrew , Kou Yubo
Published: October 2024

Toxicity in online games refers to behaviors where players disrupt the gaming experience of others, leading to adverse outcomes such as depression and low self-esteem. Although scholars have identified various factors contributing to toxicity, ranging from individual motivations to team dynamics to cultural backgrounds, the role of game design has been less frequently discussed. To bridge this gap, we conducted an interview study to explore players' perceptions of how game design influences toxicity. Our research identified four game design elements that participants perceived as contributing factors to the emergency of toxicity in their experiences: team interdependency, fairness, interaction design, and privacy. These findings help us shed light on how game design unintendedly triggers toxic intentions, exposes players to vulnerability, making them potential victims, and affects player interactions which lead to toxicity. We further propose design implications that can mitigate toxicity in online games.
"What a stupid way to do business": Towards an Understanding of Older Adults' Perceptions of Deceptive Patterns and Ways to Develop Resistance
Authors: Aung Kalya Win , Soubutts Ewan , Singh Aneesha
Published: October 2024

There are growing efforts to reduce the harmful effects of deceptive patterns pervasively employed on e-commerce websites. However, efforts to produce new guidelines and introduce ethical design standards geared towards older adults have been limited. We investigate the potential of a serious game in fostering older adults' resilience against manipulative designs in e-commerce through two studies. First, a survey with older adults (N = 61), explored their attitudes towards deceptive patterns and identified characteristics influencing them. We then created a serious game, 'Shopopolis', to bolster older adults' resistance to manipulative designs online and evaluated its efficacy with older adults (N = 65). Our findings show that Shopopolis is a valuable tool for enhancing awareness, concern, and recognition skills related to e-commerce deceptive patterns. We discuss older adults' unique perspectives on deceptive patterns and consider how insights can shape the design of targeted protective measures like Shopopolis for older adults in e-commerce contexts.
Isabelle/Solidity: A deep embedding of Solidity in Isabelle/HOL
Authors: Marmsoler Diego , Brucker Achim D.
Published: October 2024

Smart contracts are computer programs designed to automate legal agreements. They are usually developed in a high-level programming language, the most popular of which is Solidity. Every day, hundreds of thousands of new contracts are deployed managing millions of dollars’ worth of transactions. As for every computer program, smart contracts may contain bugs which can be exploited. However, since smart contracts are often used to automate financial transactions, such exploits may result in huge economic losses. In general, it is estimated that since 2019, more than $5B was stolen due to vulnerabilities in smart contracts.

This paper addresses the issue of smart contract vulnerabilities by introducing an executable denotational semantics for Solidity within the Isabelle/HOL interactive theorem prover. This formal semantics serves as the basis for an interactive program verification environment for Solidity smart contracts. To evaluate our semantics, we integrate grammar-based fuzzing with symbolic execution to automatically test it against the Solidity reference implementation. The paper concludes by showcasing the formal verification of Solidity programs, exemplified through the verification of a basic Solidity token.
Measurement-Noise Filtering for Automatic Discovery of Flow Splitting Ratios in ISP Networks
Authors: Schou Morten Konggaard , Poese Ingmar , Srba Jiri
Published: October 2024

Network telemetry and analytics is essential for providing highly dependable services in modern computer networks. In particular, network flow analytics for internet service provider (ISP) networks allows operators to inspect and reason about traffic patterns in their networks in order to react to anomalies. High performance network analytics systems are designed with scalability in mind and can consequently only observe partial information about the network traffic. Still, they need to provide a holistic view of the traffic, including the distribution of different traffic flows on each link. It is impractical to monitor such fine-grained telemetry, and in large, heterogeneous networks, it is often too complex and error prone, if not impossible, to access and maintain all technical specifications and router-specific configurations needed to determine, for example, the load balancing weights used when traffic is split onto multiple paths. The ratios by which flows are split on the possible paths must be derived indirectly from the measured flow demands and link utilizations. Motivated by a case study provided by a major European ISP, we suggest an efficient method to estimate the flow splitting ratios. Our approach, based on quadratic linear programming, is scalable and achieves robustness to the measurement noise found in a typical network analytics deployment by filtering out certain constraints in the linear program. Finally, we implement an automated tool for estimating the flow splitting ratios and document its applicability on real data from the ISP.
Enhancing Recommendation Diversity by Re-ranking with Large Language Models
Authors: Carraro Diego , Bridge Derek
Published: October 2024

Recommender Systems (RS) should provide diverse recommendations, not just relevant ones. Diversity helps handle uncertainty and offers users meaningful choices. The literature proposes various methods to improve diversity, most notably by re-ranking and selecting from a larger set of candidate recommendations. Driven by promising insights from the literature on how to incorporate versatile Large Language Models (LLMs) into the RS pipeline, in this paper we show how LLMs can be used for diversity re-ranking.

We prompt LLMs to generate a diverse ranking from a candidate ranking using various prompt templates with different re-ranking instructions in a zero-shot fashion. We conduct experiments testing state-of-the-art LLMs from the GPT and Llama families. We compare their re-ranking capabilities with random re-ranking and various traditional re-ranking methods from the literature. We open-source the code of our experiments for reproducibility. Our findings suggest that the trade-offs (in terms of performance and costs, among others) of LLM-based re-rankers are superior to those of random re-rankers but, as yet, inferior to the ones of traditional re-rankers. However, because LLMs exhibit improved performance on many natural language processing and recommendation tasks and lower inference costs, we can expect LLM-based re-ranking to become more competitive soon.
ExpAvatar: High-Fidelity Avatar Generation of Unseen Expressions with 3D Face Priors
Authors: Gan Yuan , Quan Ruijie , Luo Yawei
Published: October 2024

The reconstruction of dynamic head avatars has gained increasing significance, giving rise to various downstream applications such as visual dubbing and digital human creation. Despite recent advancements, generating
novel, unseen expressions
for a given identity remains challenging in concurrently achieving 1) accurate expression and consistent appearance and 2) high-quality and realistic faces. This paper introduces ExpAvatar, a novel approach crafted to address these challenges. ExpAvatar elaborately leverages the appearance consistency capabilities inherent in 3DMMs-based models along with the robust generalization ability of DDPMs-based models to alleviate appearance drift issues and enhance the generation of unseen expressions. Specifically, ExpAvatar introduces a Face Priors-conditioned Diffusion model (FPDiff) to inject 3D face priors into generation models through fine-tuning. Furthermore, a Face Priors-conditioned Catalyst (FPCatalyst) is employed to enhance the inference efficiency and generation quality. Moreover, we propose a unique confidence-based regularizer function to mitigate the effect of imperfect face-tracking estimates, thereby improving the quality of dynamic neural head avatars. Experimental results demonstrate that ExpAvatar surpasses current state-of-the-art solutions in generating unseen expressions, marking an advancement in the realm of dynamic head avatar synthesis. Code:
https://github.com/yuangan/ExpAvatar
.
Pathogenesis of Germinal Matrix Hemorrhage: Insights from Single-Cell Transcriptomics
Authors: Chen Jiapei , Choi Jennifer Ja-Yoon , Lin Pin-Yeh , Huang Eric J.
Published: October 2024

The germinal matrix harbors neurogenic niches in the subpallium of the prenatal human brain that produce abundant GABAergic neurons. In preterm infants, the germinal matrix is particularly vulnerable to developing hemorrhage, which disrupts neurogenesis and causes severe neurodevelopmental sequelae. However, the disease mechanisms that promote germinal matrix hemorrhage remain unclear. Here, we review recent advances using single-cell transcriptomics to uncover novel mechanisms that govern neurogenesis and angiogenesis in the germinal matrix of the prenatal human brain. These approaches also reveal the critical role of immune–vascular interaction that promotes vascular morphogenesis in the germinal matrix and how proinflammatory factors from activated neutrophils and monocytes can disrupt this process, leading to hemorrhage. Collectively, these results reveal fundamental disease mechanisms and therapeutic interventions for germinal matrix hemorrhage.
Effect of Coupled Microstructural Characteristics of Catalyst Layer on High Temperature: Proton Exchange Membrane Fuel Cell Performance
Authors: Varghese Geethu , K P Venkatesh Babu , Joseph Thadathil Varghese , Chippar Purushothama
Published: October 2024

The widespread adoption of High Temperature-Proton Exchange Membrane Fuel Cells (HT-PEMFC) in commercial applications is limited by their performance and durability compared to conventional energy sources. A key factor affecting these cells is the sluggish oxygen reduction reaction (ORR) at the cathode catalyst layer (CL). Optimizing the structural parameters of the cathode CL can enhance cell performance and longevity. Current research on these parameters is mostly descriptive, lacking numerical evidence to quantify their impact. This study develops a three-dimensional, non-isothermal HT-PEMFC numerical model to investigate the sensitivities of coupled structural parameters of the cathode CL, including Pt loading, CL thickness, and Pt particle diameter, at three levels. The orthogonal/Taguchi approach quantitatively assesses the impact of these parameters. The study reveals that Pt loading significantly affects cell voltage and cathode overpotential, while Pt diameter influences the homogeneity of overpotential distribution. The dominant impact of a single parameter decreases at higher current densities, necessitating careful analysis of trade-offs between different structural characteristics to maximize performance. These findings offer valuable insights for future experimental studies to enhance cell performance through adjustments to cathode catalyst characteristics.
Recovery of Rhodium by Solvent Extraction using N, N, N′, N′, N″, N″-Hexahexyl-nitrilotriacetamide and Electrodeposition
Authors: Matsumiya Masahiko , Tokumitsu Shun , Mishima Takumi , Sasaki Yuji
Published: October 2024

The development of solvent extraction and direct electrodeposition processes is crucial for reducing the volume of secondary waste. In this study, the extraction behavior of Rh(III) using N, N, N, N′, N′, N′-hexahexyl nitrilotriacetamide (NTAamide(C6)) was investigated with three different diluents that have relatively high dielectric constants. Slope analysis revealed that the extraction mechanism of Rh(III) is based on ion-pair extraction. The electrochemical behavior of the extracted Rh(III) complexes in each diluent was investigated using cyclic voltammetry. Rh(III) was reduced to Rh(0) through a three-electron transfer in the NTAamide(C6)/acetophenone, 1,2-dichloroethane, and 1-octanol systems. Moreover, the diffusion coefficient of the extracted Rh(III) complex was evaluated using semi-differential analysis. The electrodeposits were recovered through continuous solvent extraction and direct electrodeposition. The electrodeposits were identified as Rh metals by X-ray photoelectron spectroscopy and X-ray diffraction analyses.
Characterization of six clinical drugs and dietary intervention in the nonobese CDAA-HFD mouse model of MASH and progressive fibrosis
Authors: Nielsen Malte Hasle , Nøhr-Meldgaard Jacob , Møllerhøj Mathias Bonde , Oró Denise , Pors Susanne E. , Andersen Maja Worm , Kamzolas Ioannis , Petsalaki Evangelia , Vacca Michele , Harder Lea Mørch , Perfield James W. , Veidal Sanne , Hansen Henrik H. , Feigh Michael
Published: October 2024

The CDAA-HFD mouse model is widely used in preclinical MASH research, but validation of the model is lacking. This study presents the longitudinal characterization of disease progression. Furthermore, late-stage clinical compounds and dietary intervention (chow reversal) display distinct hepatoprotective effects in the model. Collectively, the study provides critical information guiding the use of the CDAA-HFD mouse model in preclinical drug discovery for MASH and fibrosis.
Large animal models enhance the study of crypt-mediated epithelial recovery from prolonged intestinal ischemia reperfusion injury
Authors: McKinney-Aguirre Caroline A. , Schaaf Cecilia R. , Goya-Jorge Elizabeth , Freund John M. , Gonzalez Liara M.
Published: October 2024

Additional research is needed to improve recovery from severe intestinal ischemia. The selection of the ideal animal model is critical to facilitating this work. Based on our experimentation and literature review, porcine models, with increased translatability and an improved ability to survive both prolonged ischemia and the recovery period, appear to be the most appropriate choice for future studies.
Rise in plasma bile acids following hypoabsorptive bariatric surgeries predicts beneficial metabolic and homeostatic outcomes in male rats
Authors: Mukorako Paulette , Lavoie Audrey-Anne , Trottier Jocelyn , Lemoine Natacha , Biertho Laurent , Lebel Stéfane , Plamondon Julie , Tchernof André , St-Pierre David H. , Marette André , Barbier Olivier , Richard Denis
Published: October 2024

The study emphasizes the ability of RYGB, BPD-DS, and SADI-S to induce elevated circulating bile acids levels and changes in the gene expression of transporters, enzymes and receptors in the liver and small intestine, predicting positive effects on energy and glucose homeostasis as well as PYY levels. The present results also reveal close associations between plasma BAs and SCFAs, whose variations following hypoabsorptive surgeries are also linked to significant fat losses and metabolic health improvements. These findings provide valuable insights into the mechanisms underlying the positive effects of these surgical interventions.
Effects of Laurus nobilis Leaf Extract on Healing of Experimentally Induced Wounds in Rabbits
Authors: Hammoodi Omar Tariq , Alkhilani Majid A. , Alhayani Wissam Abdullah , Al-Nuaimy Waleed , Tala’a Ali A.
Published: October 2024

Wound or injury can be defined as partial or complete separation of the skin, while the healing of the wounds is defined as the sequences of processes by which the skin heals and returns to its normal appearance. This study aims to evaluate the efficacy of Laurus nobilis leaf extracts on the healing of open wounds in rabbits. Twenty‐four healthy rabbits were used, divided randomly into control and treated groups, each consisting of 12 rabbits. The rabbits were caused to experience circular wound defects (2.5 cm) in diameter. All animals in the control (C) group were left without treatment while those in the Laurus nobilis leaf extract group were treated with drops of the aqueous extract of Laurus nobilis in a dose of 200 mg/kg per day for 20 days. The results of macroscopic observation revealed that all animals in both groups showed equitable viability and good appetite, no mortality occurred, and no signs of infection. In the group with the Laurus nobilis extract, we noticed a significant improvement in wound‐healing activity and a reduction in the wound area at p ≤ 0.05 compared with the C group. Histopathological results at the end of the study show that the thick epidermal layer covers a mass of granulation with congested blood vessels and the dermis transforms into a denser layer gradually due to the improvements of the cellularity in the C group and also revealed a well‐formed skin appearance, widespread of collagen, and fibrosis within the dermis with an appearance near the normal dermis in the group treated with Laurus nobilis leaf extract. In conclusion, the results confirmed that using Laurus nobilis methanolic extract solution in a daily dose of 200 mg/kg promotes healing of open wounds in rabbits.
Efficiency Analysis of Fragmentation Warheads Through Advanced Modeling Techniques: Experimental and Numerical Study
Authors: Alameri Omar , Elek Predrag
Published: October 2024

This research investigates the efficiency of fragmentation warheads through a comprehensive comparison of numerical and analytical modeling techniques, supplemented by arena tests. Advanced numerical models developed within Ansys Autodyn, alongside the mean area of effectiveness software, demonstrate robust capabilities in predicting warhead‐soft target interactions. Our numerical model is supplemented with a complex analytical model, and the integration of these two approaches addresses a significant research gap by providing a thorough evaluation of warhead efficiency. This integrated model serves as a valuable tool for warhead design and optimization. Validated with experimental results, the simulation outcomes show excellent agreement with the arena test data, confirming the accuracy and reliability of the developed models. This study explicitly addresses key research gaps, including the integration between experimental and numerical analyses, the gap between explosive propulsion and the determination of efficiency, and the need for a comprehensive tool for warhead design and optimization. By exploring various warhead design configurations and initiation methods, the research offers critical insights for optimizing warhead performance. Notably, nonuniform barrel‐shaped warheads exhibit a wider fragment distribution, significantly improving weapon‐target interactions, particularly at lower impact angles. The study delves into the key parameters influencing warhead performance, providing detailed justifications for their selection and evaluating the sensitivities of these parameters on the results. This analysis underscores the importance of choosing appropriate parameters for accurate predictions and effective warhead design. In addition, the research highlights the original achievements in overcoming major difficulties and challenges in the field, such as integrating complex numerical and analytical models for comprehensive evaluation. The findings contribute to the advancement of fragmentation warhead design, offering designers reliable tools and guidelines to enhance lethality and efficiency in weapon‐target engagements. Future work aims to expand the software’s capabilities to include diverse targets, fragment types, and interaction geometries, further advancing the field of fragmentation warhead design. By addressing the gaps and challenges identified, this research paves the way for more effective and optimized warhead configurations, enhancing their overall performance and impact.
Twisting of Inflatable Penile Prosthesis Tubing Leading to Device Malfunction and Required Explantation: A Rare Complication
Authors: Sarver Jordan , Emmer Eriel , Benben Alex , Skalak Matthew , Talley Daniel , Abdelhady Mazen
Published: October 2024

Erectile dysfunction (ED), the impairment of achieving and maintaining an erection for satisfactory sexual intercourse, is a common pathology that men experience for a variety of different factors. Conservative treatment for ED includes changing medications, lifestyle modifications, and psychotherapy. Pharmaceutical and nonsurgical interventions include phosphodiesterase‐5 inhibitors(PDE‐5i), intracavernosal medication injections, and vacuum devices. Surgical treatment options for ED have evolved over time and currently include the use of inflatable penile prosthesis (IPP) and malleable penile prosthesis. IPP insertion is usually met with good patient satisfaction. However, complications of device insertion can include corporal perforation, urethral injury, cylinder erosion or extrusion, infection, and mechanical failure, to name a few. Our patient presented with device malfunction and intraoperative assessment showed the IPP tubing twisted at the levels of the reservoir on the first operation and the level of the cylinder and scrotal pump on the second operation. The twisting of the tubing resulted in a nonfunctioning IPP as the fluid was unable to fill the cylinders resulting in an erection. The patient was managed with complete device explanation and reinsertion of a new three‐piece IPP per the patient and partner’s request. This is the first case report highlighting this specific complication, and we hope to provide clinicians with the resources to recognize this rare complication.
Effect of Superplasticizer in Cement Type on Morphological Characteristics of Masonry Mortar
Authors: Fode Tsion Amsalu , Wondimu Temesgen
Published: October 2024

Cement plays a crucial role in mortar composition, and its particles exhibit a strong tendency to flocculate when mixed with water. This flocculation necessitates the addition of substantial water to improve the workability of mortar or concrete. However, this extra water does not contribute to the hydration reaction, potentially weakening the mechanical properties of the mortar. The introduction of superplasticizers has addressed this issue by reducing the water demand. Nevertheless, a common practice in construction is to use a standard dosage of superplasticizers for the same type of cement, even when sourced from different cement factories, which may affect material performance. This study investigated the influence of varying superplasticizer dosages on Portland pozzolana cement from different Ethiopian cement factories, examining the morphological characteristics of masonry mortar. Specifically, it evaluated the impact on cracks, porosity, and surface structure across different curing ages, as well as assessed the mortar’s physical and mechanical properties. Mortar samples prepared using cement from three factories, labeled A, B, and C, with constant cement‐to‐sand ratios of 1:3 and water‐to‐cement ratios of 0.5. Superplasticizer added in varying amounts 0%, 0.6%, 0.8%, and 1%. The morphological analysis conducted using a 3D optical surface profiler microscope at 1, 7, 21, and 28 days. Besides these standard physical and mechanical tests also performed on all samples. The results demonstrated that addition of superplasticizers significantly influenced the surface morphology of mortar samples. Mortars A and B exhibited denser structures with superplasticizer dosages 0.8% and 1%, respectively, whereas mortar C displayed a denser structure in its control state (without superplasticizer). The flexural and compressive strength tests also revealed notable differences. Sample A2 (0.8%) from group A, sample B3 (1%) from group B, and sample C0 (0%) from group C achieved the highest strength within their respective groups at 28 days. The findings suggest that it is essential to evaluate the specific properties of cement before applying a standardized superplasticizer dosage, as variations in cement production can significantly influence the performance of the mortar.
Unraveling the Impact of Climate Change on Fish Physiology: A Focus on Temperature and Salinity Dynamics
Authors: Agarwal Deepak , Shanmugam Seerappalli Aran , Kathirvelpandian Ayyathurai , Eswaran Suresh , Rather Mohd Ashraf , Rakkannan Gowrimanohari
Published: October 2024

In recent decades, climate change has significantly altered the environmental dynamics of aquatic ecosystems, profoundly impacting the intricate balance of life within them. This review paper delves into the multifaceted impacts of climate change on the physiology of aquatic life, emphasizing temperature and salinity as pivotal ecological factors unique to aquatic environments. The intricate relationship between rising global temperatures and their repercussions on freshwater and seawater habitats forms the cornerstone of this exploration. Elevated temperatures and escalating frequency of extreme heatwave events have reshaped the paradigm for fish survival, pushing them beyond optimal temperature thresholds. Furthermore, the study delves into the interconnection of seemingly disparate abiotic factors, where heightened greenhouse gas concentrations amplify coastal winds, precipitating coastal upwelling. The consequence—nutrient‐rich yet oxygen‐deprived waters—fuels a cascade of challenges, inducing hypoxic conditions that significantly impact aquatic organisms. The plight of fish, as ectotherms finely tuned to environmental fluctuations, is underscored, illuminating their susceptibility to temperature variations. The direct correlation between external and internal temperatures, exacerbated by climate‐induced fluctuations, accentuates the urgency of addressing climate change’s impact on aquatic habitats. This review disentangles the complex web of interconnected environmental shifts, illuminating their far‐reaching repercussions on the physiology of aquatic life. It emphasizes the imperative for collective endeavors aimed at understanding and addressing the challenges imposed by our evolving climate on these indispensable ecosystems.
Common Mental Disorders in Brazilian Graduate Students
Authors: Molina Nayara Paula Fernandes Martins , do Carmo Pereira Junior Assis , Di Donato Gabriela , Rezende Marina Aleixo Diniz , Zanetti Maria Olívia Barboza , Haas Vanderlei José , Miasso Adriana Inocenti
Published: October 2024

This study is aimed at ascertaining the prevalence and predictors of common mental disorders (CMD) among Brazilian graduate students (N = 5266) during the COVID‐19 pandemic. Employing the Self‐Reporting Questionnaire (SRQ‐20), the study found that CMD prevalence was 63.5%. Variables such as not feeling well psychologically in the past year, the necessity to take leave of absence from activities, residence in different regions, female gender, studying for a master’s degree, extension of deadlines, experience of setbacks in education, COVID‐19 risk group membership, self‐medication practices, seeking medical assistance, and prior psychological counseling emerged as predictors of CMD. The findings reveal the vulnerability of graduate students to CMDs and risk factors amenable to institutional intervention. To this end, the study provides support for strategies promoting mental health in this population.
Analysing the Environmental and Social Impacts of a Novel User‐Based Transit Signal Priority Strategy in a Connected Vehicle Environment
Authors: Mohammadi Roozbeh , Vosough Shaghayegh , Roncoli Claudio
Published: October 2024

Transit signal priority (TSP) is a traffic control strategy aiming at prioritising public transit vehicles at signalised intersections. The emergence of connected vehicles (CVs) provides the opportunity to enhance TSP operation, mitigating challenges such as the negative impact on nontransit users and the management of conflicting priority requests. Furthermore, traffic control policies produce environmental impacts, whilst TSP strategies are typically evaluated based on common traffic flow indicators, such as average vehicle speed, delay and/or the number of stops. In light of the recent progress made in CV technology, we propose and assess two user‐based TSP strategies. The first approach aims to minimise total user delay at a signalised intersection, whilst the second considers both reducing bus schedule delay and total user delay. We also measure the environmental effects of these TSP strategies. A microscopic simulation environment is used to compare the proposed methods’ performance against a conventional TSP ring‐and‐barrier controller in a case study involving two adjacent signalised intersections in Helsinki, Finland. The findings indicate that implementing the proposed strategies effectively enhances TSP performance whilst also lowering adverse environmental impacts.
Supplementary Figure S5 from Targeting the Sodium–Potassium Pump as a Therapeutic Strategy in Acute Myeloid Leukemia
Authors: Schneider Constanze , Spaink Hermes , Alexe Gabriela , Dharia Neekesh V. , Meyer Ashleigh , Merickel Lucy A. , Khalid Delan , Scheich Sebastian , Häupl Björn , Staudt Louis M. , Oellerich Thomas , Stegmaier Kimberly
Published: October 2024

ATP1B1 expression in CCLE and Treehouse data base
Supplementary Table S2 from Single-Stranded DNA Gap Accumulation Is a Functional Biomarker for USP1 Inhibitor Sensitivity
Authors: da Costa Alexandre A. , Somuncu Ozge , Ravindranathan Ramya , Mukkavalli Sirisha , Martignetti David B. , Nguyen Huy , Jiao Yuqing , Lamarre Benjamin P. , Sadatrezaei Golbahar , Moreau Lisa , Liu Joyce , Iyer Divya R. , Lazaro Jean-Bernard , Shapiro Geoffrey I. , Parmar Kalindi , D’Andrea Alan D.
Published: October 2024

Mass spectrometry of proteins captured using aniPOND method in samples treated with USP inhibitor versus untreated samples.
Supplementary Figure S3 from Targeting the Sodium–Potassium Pump as a Therapeutic Strategy in Acute Myeloid Leukemia
Authors: Schneider Constanze , Spaink Hermes , Alexe Gabriela , Dharia Neekesh V. , Meyer Ashleigh , Merickel Lucy A. , Khalid Delan , Scheich Sebastian , Häupl Björn , Staudt Louis M. , Oellerich Thomas , Stegmaier Kimberly
Published: October 2024

In vivo data and validation of MV4-11_LUC cell models
Supplementary Figure S2 from Single-Stranded DNA Gap Accumulation Is a Functional Biomarker for USP1 Inhibitor Sensitivity
Authors: da Costa Alexandre A. , Somuncu Ozge , Ravindranathan Ramya , Mukkavalli Sirisha , Martignetti David B. , Nguyen Huy , Jiao Yuqing , Lamarre Benjamin P. , Sadatrezaei Golbahar , Moreau Lisa , Liu Joyce , Iyer Divya R. , Lazaro Jean-Bernard , Shapiro Geoffrey I. , Parmar Kalindi , D’Andrea Alan D.
Published: October 2024

Supplementary Figure S2. Olaparib sensitivity of BRCA1-mutated ovarian cancer patient-derived organoids
Figure S6 from FANCI Inhibition Induces PARP1 Redistribution to Enhance the Efficacy of PARP Inhibitors in Breast Cancer
Authors: Huang Yu-Zhou , Sang Ming-Yi , Xi Pei-Wen , Xu Ruo-Xi , Cai Meng-Yuan , Wang Zi-Wen , Zhao Jian-Yi , Li Yi-Han , Wei Ji-Fu , Ding Qiang
Published: October 2024

Figure S6 displays the results of Human PARP1 ELISA assays after nuclear-cytoplasmic separation and the impact of FANCD2 expression changes on PARP1 functionality.
Figure S4 from FANCI Inhibition Induces PARP1 Redistribution to Enhance the Efficacy of PARP Inhibitors in Breast Cancer
Authors: Huang Yu-Zhou , Sang Ming-Yi , Xi Pei-Wen , Xu Ruo-Xi , Cai Meng-Yuan , Wang Zi-Wen , Zhao Jian-Yi , Li Yi-Han , Wei Ji-Fu , Ding Qiang
Published: October 2024

Figure S4 shows FANCI overexpression enhances breast cancer cell migration ability.
Table S3 from Chromosome 7 Gain Compensates for Chromosome 10 Loss in Glioma
Authors: Nair Nishanth Ulhas , Schäffer Alejandro A. , Gertz E. Michael , Cheng Kuoyuan , Zerbib Johanna , Sahu Avinash Das , Leor Gil , Shulman Eldad D. , Aldape Kenneth D. , Ben-David Uri , Ruppin Eytan
Published: October 2024

Table S3
Supplementary Data from A Genomics-Driven Artificial Intelligence–Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms
Authors: Pareja Fresia , Dopeso Higinio , Wang Yi Kan , Gazzo Andrea M. , Brown David N. , Banerjee Monami , Selenica Pier , Bernhard Jan H. , Derakhshan Fatemeh , da Silva Edaise M. , Colon-Cartagena Lorraine , Basili Thais , Marra Antonio , Sue Jillian , Ye Qiqi , Da Cruz Paula Arnaud , Yeni Yildirim Selma , Pei Xin , Safonov Anton , Green Hunter , Gill Kaitlyn Y. , Zhu Yingjie , Lee Matthew C.H. , Godrich Ran A. , Casson Adam , Weigelt Britta , Riaz Nadeem , Wen Hannah Y. , Brogi Edi , Mandelker Diana L. , Hanna Matthew G. , Kunz Jeremy D. , Rothrock Brandon , Chandarlapaty Sarat , Kanan Christopher , Oakley Joe , Klimstra David S. , Fuchs Thomas J. , Reis-Filho Jorge S.
Published: October 2024

Supplementary Figures S1-S5 Supplementary Tables S1-S5
Figure S8 from Cancer-Associated Fibroblasts Expressing Sulfatase 1 Facilitate VEGFA-Dependent Microenvironmental Remodeling to Support Colorectal Cancer
Authors: Wang Huijuan , Chen Jiaxin , Chen Xiaoyu , Liu Yingqiang , Wang Jiawei , Meng Qing , Wang Huogang , He Ying , Song Yujia , Li Jingyun , Ju Zhenyu , Xiao Peng , Qian Junbin , Song Zhangfa
Published: October 2024

Figure S8.
Figure S7 from Cancer-Associated Fibroblasts Expressing Sulfatase 1 Facilitate VEGFA-Dependent Microenvironmental Remodeling to Support Colorectal Cancer
Authors: Wang Huijuan , Chen Jiaxin , Chen Xiaoyu , Liu Yingqiang , Wang Jiawei , Meng Qing , Wang Huogang , He Ying , Song Yujia , Li Jingyun , Ju Zhenyu , Xiao Peng , Qian Junbin , Song Zhangfa
Published: October 2024

Figure S7.
Figure S5 from Cancer-Associated Fibroblasts Expressing Sulfatase 1 Facilitate VEGFA-Dependent Microenvironmental Remodeling to Support Colorectal Cancer
Authors: Wang Huijuan , Chen Jiaxin , Chen Xiaoyu , Liu Yingqiang , Wang Jiawei , Meng Qing , Wang Huogang , He Ying , Song Yujia , Li Jingyun , Ju Zhenyu , Xiao Peng , Qian Junbin , Song Zhangfa
Published: October 2024

Figure S5.
Figure S2 from Cancer-Associated Fibroblasts Expressing Sulfatase 1 Facilitate VEGFA-Dependent Microenvironmental Remodeling to Support Colorectal Cancer
Authors: Wang Huijuan , Chen Jiaxin , Chen Xiaoyu , Liu Yingqiang , Wang Jiawei , Meng Qing , Wang Huogang , He Ying , Song Yujia , Li Jingyun , Ju Zhenyu , Xiao Peng , Qian Junbin , Song Zhangfa
Published: October 2024

Figure S2.
Supplementary figure and legends from m6A-Mediated Induction of 7-Dehydrocholesterol Reductase Stimulates Cholesterol Synthesis and cAMP Signaling to Promote Bladder Cancer Metastasis
Authors: Zeng Youmiao , Luo Yongbo , Zhao Keyuan , Liu Sheng , Wu Kaiwen , Wu Yudong , Du Kaixuan , Pan Wenbang , Dai Yiheng , Liu Yuanhao , Ren Mengda , Tian Fengyan , Zhou Lijie , Gu Chaohui
Published: October 2024

Supplementary figure and legends
Supplementary Table 3 from The USP1 Inhibitor KSQ-4279 Overcomes PARP Inhibitor Resistance in Homologous Recombination–Deficient Tumors
Authors: Cadzow Louise , Brenneman Jehrod , Tobin Erica , Sullivan Pamela , Nayak Sumeet , Ali Janid A. , Shenker Sol , Griffith Jim , McGuire Michael , Grasberger Paula , Mishina Yuji , Murray Morgan , Dodson Anne E. , Gannon Hugh , Krall Elsa , Hixon Jeff , Chipumuro Edmond , Sinkevicius Kerstin , Gokhale Prafulla C. , Ganapathy Suthakar , Matulonis Ursula A. , Liu Joyce F. , Olaharski Andrew , Sangurdekar Dipen , Liu Hanlan , Wilt Jeremy , Schlabach Michael , Stegmeier Frank , Wylie Andrew A.
Published: October 2024

CRISPR dropout scores for USP1 and UAF1
Figure S9 from The USP1 Inhibitor KSQ-4279 Overcomes PARP Inhibitor Resistance in Homologous Recombination–Deficient Tumors
Authors: Cadzow Louise , Brenneman Jehrod , Tobin Erica , Sullivan Pamela , Nayak Sumeet , Ali Janid A. , Shenker Sol , Griffith Jim , McGuire Michael , Grasberger Paula , Mishina Yuji , Murray Morgan , Dodson Anne E. , Gannon Hugh , Krall Elsa , Hixon Jeff , Chipumuro Edmond , Sinkevicius Kerstin , Gokhale Prafulla C. , Ganapathy Suthakar , Matulonis Ursula A. , Liu Joyce F. , Olaharski Andrew , Sangurdekar Dipen , Liu Hanlan , Wilt Jeremy , Schlabach Michael , Stegmeier Frank , Wylie Andrew A.
Published: October 2024

Mouse body weight measurements following treatment with KSQ-4279 and olaparib
Figure S7 from The USP1 Inhibitor KSQ-4279 Overcomes PARP Inhibitor Resistance in Homologous Recombination–Deficient Tumors
Authors: Cadzow Louise , Brenneman Jehrod , Tobin Erica , Sullivan Pamela , Nayak Sumeet , Ali Janid A. , Shenker Sol , Griffith Jim , McGuire Michael , Grasberger Paula , Mishina Yuji , Murray Morgan , Dodson Anne E. , Gannon Hugh , Krall Elsa , Hixon Jeff , Chipumuro Edmond , Sinkevicius Kerstin , Gokhale Prafulla C. , Ganapathy Suthakar , Matulonis Ursula A. , Liu Joyce F. , Olaharski Andrew , Sangurdekar Dipen , Liu Hanlan , Wilt Jeremy , Schlabach Michael , Stegmeier Frank , Wylie Andrew A.
Published: October 2024

Clonogenic assays in the presence of KSQ-4279 and olaparib in combination