bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conclusion: addressing the labor shortage problem in the hospitality and tourism industries
Authors: Birdir Kemal , Sahilli Birdir Sevda 
Published: October 2024

PurposeThe main objective of this theme issue is to investigate the potential of cutting-edge technologies like AI, robotics and other innovative solutions to mitigate the skilled labor shortage crisis in the Hospitality and tourism (H&T) industries.Design/methodology/approachThis conclusion draws upon the collective insights from the articles in this thematic issue, providing a comprehensive overview of the key findings and their implications. A thorough analysis and discussion of the results are presented, offering a synthesis of the research and its significance for the hospitality and tourism industry.FindingsThis thematic issue examines the profound impact of automation and artificial intelligence on the tourism and hospitality industries, where advancements in technology are juxtaposed with the challenge of skill shortages. The special issue explores the application of AI and automation in operations, training and development as well as the need for a balanced approach to innovation and service delivery standards. As AI transforms the industry, this issue highlights the imperative for hotels and similar establishments to strike a delicate balance between technological innovation and preserving exceptional guest experiences.Originality/valueThis theme issue presents a comprehensive analysis of the key discussions on the strategic use of technology in the hospitality and tourism industries. The articles demonstrate the significance of these advancements in expanding our knowledge and driving innovation, ultimately benefiting various stakeholders in the sector. As these technologies continue to evolve at a rapid pace, it is crucial for industry professionals, decision-makers and researchers to understand their applications, benefits and challenges in order to effectively address the pressing issue of labor shortages in the hospitality and tourism industries.
DILUTED POST‐SOCIALISM: Urban Policymaking in East Germany, Poland and Ukraine
Authors: Drozda Łukasz 
Published: October 2024

AbstractMore than three decades after the dissolution of the Soviet Union, the post‐socialist framework prevalent in the academic world is raising more and more questions. The three most serious doubts have to do with: (1) the time that has elapsed since the collapse of the state‐socialist system, which means that local urbanization has been influenced by factors other than just this period; (2) the unclear geographical boundaries of the post‐socialist world; (3) the questionable way of defining certain issues as rooted in post‐socialism. The aim of the article is to describe the impact of the state‐socialist experience on the current state of urban affairs and related policies, using the opinions of practitioners instead of those of academic researchers or document analysis, and five cities as examples: Leipzig, Germany; Krakow and Warsaw, Poland; Kyiv and Lviv, Ukraine. It seems that today we should rather speak of diluted post‐socialist experiences that parallel in a more indirect way processes rooted in the pre‐socialist past and non‐socialist events in the post‐1989–91 period modulated by various critical junctures and external factors specific to individual cases. The data sources used include a review of the literature and the author's own field research conducted in 2021 and 2022.
Discovering what young adults want in electronic interventions aimed at reducing alcohol‐related consequences
Authors: Mackey Chelsea D. , Sibik Gage L. , Szydlowski Victoria , Blayney Jessica A. , Lee Christine M. , Larimer Mary E. , Hultgren Brittney A. 
Published: October 2024

AbstractBackgroundDespite intervention efforts, negative alcohol‐related consequences continue to impact young adults. Most alcohol interventions focus on reducing alcohol consumption; however, previous research indicates that focusing solely on alcohol use may not decrease consequences. Additionally, many alcohol interventions have diminishing engagement, and few are designed with young adults involved in the development process. Drawing on user‐centered design, this study sought to understand young adult perceptions, preferences, and needs for electronic interventions specifically aimed at reducing alcohol consequences.MethodsUsing semi‐structured qualitative interviews, 21 young adult drinkers (ages 18–24; 57.1% female) shared their opinions regarding the need for electronic interventions (i.e., mobile or web‐delivered) to reduce alcohol consequences as well as their preferences for content, features, and ways to increase engagement. Interviews were coded and analyzed using a multi‐step thematic analysis approach.ResultsAs part of our discovery phase of intervention development, content coding revealed four main themes. Participants perceived several benefits of interventions focused on alcohol consequences, such as promoting mindful alcohol use and reducing alcohol‐related harms. Participants also discussed perceived limitations of such programs, including believing consequences from drinking are unavoidable, necessary for learning, and associated with peer pressure. Preferences for features included real‐time tracking, personalized feedback, and psychoeducation along with preferences for design including non‐judgmental framing, interactive content, and a user‐friendly platform.ConclusionsEngaging end users early in the development process is a valuable approach to increase intervention relevancy with the target population. This can also inform intervention content and design to maximize engagement and satisfaction (e.g., framing, features, and interactivity) while also reducing barriers identified early on (e.g., peer pressure).
Healthy and unhealthy dietary patterns and sperm quality from the Led‐Fertyl study
Authors: Davila‐Cordova Estefanía , Salas‐Huetos Albert , Valle‐Hita Cristina , Fernández de la Puente María , Martínez María Ángeles , Palau‐Galindo Antoni , Del Egido‐González Claudia , Manzanares‐Errazu José María , Sánchez‐Resino Elena , Salas‐Salvadó Jordi , Babio Nancy 
Published: October 2024

AbstractBackgroundDietary patterns may affect sperm quality, but the scientific evidence is limited.ObjectiveTo evaluate the association between adherence to different a‐priori dietary patterns and sperm quality parameters in healthy reproductive‐age men.Materials and methodsA cross‐sectional analysis was conducted using data from 200 young men enrolled in the Led‐Fertyl study. Tertiles of six a‐priori dietary patterns were estimated: four healthy dietary patterns [Mediterranean Diet Adherence Screener (MEDAS), Dietary Approaches to Stop Hypertension (DASH), Healthful Plant‐Based Diet Index (hPDI) and EAT‐Lancet Score], and two unhealthy dietary patterns [Western Diet and Unhealthful Plant‐Based Diet Index (uPDI)]. Sperm quality parameters (count, concentration, vitality, total and progressive motility, and normal morphology) were considered the main outcomes.ResultsCompared with the lowest tertile, participants in the highest MEDAS tertile had higher total sperm count (β = 3.2;95%CI: 1.0, 5.5) and concentration (β = 1.8;95%CI: 0.6, 3.0), and total (β = 8.2;95%CI: 1.3, 15.1) and progressive motility (β = 7.1;95%CI: 0.2, 14.0). Similarly, participants in the highest hPDI tertile had higher total sperm count (β = 3.4;95%CI: 1.4, 5.5) and concentration (β = 1.2;95%CI: 0.0, 2.3) compared with those in the lowest tertile. When these dietary patterns were modelled as continuous variables (for each 1‐point increment in the specific score), an inverse association was found between the uPDI and Western and total sperm count [(β = ‐2.7;95%CI: ‐4.8, ‐0.7) and (β = ‐3.8;95%CI: ‐5.8, ‐1.7), respectively] and sperm concentration [(β = ‐1.2;95%CI: ‐2.4, ‐0.1) and (β = ‐1.7;95%CI: ‐2.8, ‐0.5), respectively]. Compared with participants in the lowest tertile, those in the highest uPDI tertile presented higher odds of abnormal sperm concentration (OR: 4.6;95%CI: 1.0, 19.9) and one or more seminogram abnormalities (OR: 2.3;95%CI: 1.1, 5.0).ConclusionsOur findings suggest that higher adherence to healthy dietary patterns (Mediterranean and healthful plant‐based diet) was positively associated with better sperm quality parameters, in contrast, greater adherence to unhealthy dietary patterns was inversely associated.
Looking beyond the eyes of the patient: The importance of effective communication in the treatment of age‐related macular degeneration
Authors: Scheffer Mariska , Menting Juliane , Rausch‐Koster Petra , van Nispen Ruth , van Dulmen Sandra 
Published: October 2024

AbstractPurposePatients with exudative and nonexudative age‐related macular degeneration (AMD) can experience physical, mental, social, administrative or financial burden that are associated with the treatment of this progressive chronic disease. The role of healthcare providers in supporting patients who experience high treatment burden can be important, especially when it comes to effective communication. Despite previous research underlining the need to improve patient‐provider communication in AMD care, patient experiences with communication, and how these are related to perceived treatment burden, remain underexplored.MethodsA survey was distributed among Dutch patients with AMD, which contained questions on several aspects of communication with the patient's ophthalmologist, such as the Quality Of communication Through the patients' Eyes (QUOTE‐COMM, including task‐, affect‐ and therapy‐oriented communication) questionnaire. Patients were primarily enlisted through a patient association.ResultsA total of 162 patients completed the questionnaire, of which 133 provided fully completed responses. While patients reported positive experiences with affect‐oriented communication of their ophthalmologist, they rated task‐ and therapy‐oriented communication as below their expectations. Most patients wished to receive (additional) information on AMD‐related costs (71%), future perspectives (71%) and coping with negative emotions pertaining to the disease (68%). Both lower experience scores on task‐ and affect‐oriented communication and lower self‐efficacy were associated with higher administrative burden and mental burden among patients.ConclusionOur study shows that current communication, information provision and decision‐making do not fully meet patients' needs and preferences. Enhancing patient‐provider communication seems important, as effective dialogue is likely to diminish patients' perceived treatment burden.
Cooling and physiology during parent cuddling infants with neonatal encephalopathy in usual care: CoolCuddle‐2 study
Authors: Chakkarapani Ela , Ingram Jenny , Stocks Stephanie , Beasant Lucy , Odd David ,   CoolCuddle‐2 study research team
Published: October 2024

AbstractAimCoolCuddle, enabling parents to cuddle their babies with neonatal encephalopathy (NE) during therapeutic hypothermia and intensive care (TH), was developed in research settings. To determine the impact of implementing CoolCuddle in usual care in six diverse neonatal intensive care units on the cooling process and intensive care.MethodsThis vital sign cohort study embedded within the CoolCuddle implementation study enrolled 36 infants receiving TH for NE. Nurses received training on CoolCuddle and a standard operating procedure using an instruction video. After consenting, parents experienced up to 2 h of CoolCuddle with 30 min of pre‐ and post‐cuddle observation. We used multilevel, clustered linear modelling to assess the physiological stability in temperature, cardio‐respiratory and neurophysiology across the CoolCuddle.ResultsIn 60 CoolCuddles over 93.12 h, respiratory parameters, heart rate or neurological function did not vary between the epochs (p > 0.05). During cuddle, sleep–wake cycling on amplitude‐integrated EEG increased (p = 0.008) and there was weak evidence of lower pain scores (p = 0.08). No adverse effects were observed.ConclusionImplementing CoolCuddle with support in usual practice maintained physiological stability and did not significantly affect the cooling process or intensive care, and may improve infant comfort. Ongoing monitoring of adverse effects when implementing CoolCuddle is recommended.
Seamless and Aligned Texture Optimization for 3D Reconstruction
Authors: Wang Lei , Ge Linlin , Zhang Qitong , Feng Jieqing 
Published: October 2024

AbstractRestoring the appearance of the model is a crucial step for achieving realistic 3D reconstruction. High‐fidelity textures can also conceal some geometric defects. Since the estimated camera parameters and reconstructed geometry usually contain errors, subsequent texture mapping often suffers from undesirable visual artifacts such as blurring, ghosting, and visual seams. In particular, significant misalignment between the reconstructed model and the registered images will lead to texturing the mesh with inconsistent image regions. However, eliminating various artifacts to generate high‐quality textures remains a challenge. In this paper, we address this issue by designing a texture optimization method to generate seamless and aligned textures for 3D reconstruction. The main idea is to detect misalignment regions between images and geometry and exclude them from texture mapping. To handle the texture holes caused by these excluded regions, a cross‐patch texture hole‐filling method is proposed, which can also synthesize plausible textures for invisible faces. Moreover, for better stitching of the textures from different views, an improved camera pose optimization is present by introducing color adjustment and boundary point sampling. Experimental results show that the proposed method can eliminate the artifacts caused by inaccurate input data robustly and produce high‐quality texture results compared with state‐of‐the‐art methods.
GS‐Octree: Octree‐based 3D Gaussian Splatting for Robust Object‐level 3D Reconstruction Under Strong Lighting
Authors: Li J. , Wen Z. , Zhang L. , Hu J. , Hou F. , Zhang Z. , He Y. 
Published: October 2024

AbstractThe 3D Gaussian Splatting technique has significantly advanced the construction of radiance fields from multi‐view images, enabling real‐time rendering. While point‐based rasterization effectively reduces computational demands for rendering, it often struggles to accurately reconstruct the geometry of the target object, especially under strong lighting conditions. Strong lighting can cause significant color variations on the object's surface when viewed from different directions, complicating the reconstruction process. To address this challenge, we introduce an approach that combines octree‐based implicit surface representations with Gaussian Splatting. Initially, it reconstructs a signed distance field (SDF) and a radiance field through volume rendering, encoding them in a low‐resolution octree. This initial SDF represents the coarse geometry of the target object. Subsequently, it introduces 3D Gaussians as additional degrees of freedom, which are guided by the initial SDF. In the third stage, the optimized Gaussians enhance the accuracy of the SDF, enabling the recovery of finer geometric details compared to the initial SDF. Finally, the refined SDF is used to further optimize the 3D Gaussians via splatting, eliminating those that contribute little to the visual appearance. Experimental results show that our method, which leverages the distribution of 3D Gaussians with SDFs, reconstructs more accurate geometry, particularly in images with specular highlights caused by strong lighting. The source code can be downloaded fromhttps://github.com/LaoChui999/GS-Octree.
TaNSR:Efficient 3D Reconstruction with Tetrahedral Difference and Feature Aggregation
Authors: Lv Zhaohan , Bao Xingcan , Tang Yong , Zhao Jing 
Published: October 2024

AbstractNeural surface reconstruction methods have demonstrated their ability to recover 3D surfaces from multiple images. However, current approaches struggle to rapidly achieve high‐fidelity surface reconstructions. In this work, we propose TaNSR, which inherits the speed advantages of multi‐resolution hash encodings and extends its representation capabilities. To reduce training time, we propose an efficient numerical gradient computation method that significantly reduces additional memory access overhead. To further improve reconstruction quality and expedite training, we propose a feature aggregation strategy in volume rendering. Building on this, we introduce an adaptively weighted aggregation function to ensure the network can accurately reconstruct the surface of objects and recover more geometric details. Experiments on multiple datasets indicate that TaNSR significantly reduces training time while achieving better reconstruction accuracy compared to state‐of‐the‐art nerual implicit methods.
A TransISP Based Image Enhancement Method for Visual Disbalance in Low‐light Images
Authors: Wu Jiaqi , Guo Jing , Jing Rui , Zhang Shihao , Tian Zijian , Chen Wei , Wang Zehua 
Published: October 2024

AbstractExisting image enhancement algorithms often fail to effectively address issues of visual disbalance, such as brightness unevenness and color distortion, in low‐light images. To overcome these challenges, we propose a TransISP‐based image enhancement method specifically designed for low‐light images. To mitigate color distortion, we design dual encoders based on decoupled representation learning, which enable complete decoupling of the reflection and illumination components, thereby preventing mutual interference during the image enhancement process. To address brightness unevenness, we introduce CNNformer, a hybrid model combining CNN and Transformer. This model efficiently captures local details and long‐distance dependencies between pixels, contributing to the enhancement of brightness features across various local regions. Additionally, we integrate traditional image signal processing algorithms to achieve efficient color correction and denoising of the reflection component. Furthermore, we employ a generative adversarial network (GAN) as the overarching framework to facilitate unsupervised learning. The experimental results show that, compared with six SOTA image enhancement algorithms, our method obtains significant improvement in evaluation indexes (e.g., on LOL, PSNR: 15.59%, SSIM: 9.77%, VIF: 9.65%), and it can improve visual disbalance defects in low‐light images captured from real‐world coal mine underground scenarios.
Exploring Fast and Flexible Zero‐Shot Low‐Light Image/Video Enhancement
Authors: Han Xianjun , Bao Taoli , Yang Hongyu 
Published: October 2024

AbstractLow‐light image/video enhancement is a challenging task when images or video are captured under harsh lighting conditions. Existing methods mostly formulate this task as an image‐to‐image conversion task via supervised or unsupervised learning. However, such conversion methods require an extremely large amount of data for training, whether paired or unpaired. In addition, these methods are restricted to specific training data, making it difficult for the trained model to enhance other types of images or video. In this paper, we explore a novel, fast and flexible, zero‐shot, low‐light image or video enhancement framework. Without relying on prior training or relationships among neighboring frames, we are committed to estimating the illumination of the input image/frame by a well‐designed network. The proposed zero‐shot, low‐light image/video enhancement architecture includes illumination estimation and residual correction modules. The network architecture is very concise and does not require any paired or unpaired data during training, which allows low‐light enhancement to be performed with several simple iterations. Despite its simplicity, we show that the method is fast and generalizes well to diverse lighting conditions. Many experiments on various images and videos qualitatively and quantitatively demonstrate the advantages of our method over state‐of‐the‐art methods.
PCLC‐Net: Point Cloud Completion in Arbitrary Poses with Learnable Canonical Space
Authors: Xu Hanmo , Shuai Qingyao , Chen Xuejin 
Published: October 2024

AbstractRecovering the complete structure from partial point clouds in arbitrary poses is challenging. Recently, many efforts have been made to address this problem by developing SO(3)‐equivariant completion networks or aligning the partial point clouds with a predefined canonical space before completion. However, these approaches are limited to random rotations only or demand costly pose annotation for model training. In this paper, we present a novel Network for Point cloud Completion with Learnable Canonical space (PCLC‐Net) to reduce the need for pose annotations and extract SE(3)‐invariant geometry features to improve the completion quality in arbitrary poses. Without pose annotations, our PCLC‐Net utilizes self‐supervised pose estimation to align the input partial point clouds to a canonical space that is learnable for an object category and subsequently performs shape completion in the learned canonical space. Our PCLC‐Net can complete partial point clouds with arbitrary SE(3) poses without requiring pose annotations for supervision. Our PCLC‐Net achieves state‐of‐the‐art results on shape completion with arbitrary SE(3) poses on both synthetic and real scanned data. To the best of our knowledge, our method is the first to achieve shape completion in arbitrary poses without pose annotations during network training.
Faster Ray Tracing through Hierarchy Cut Code
Authors: Xiang WeiLai , Liu FengQi , Tan Zaonan , Li Dan , Xu PengZhan , Liu MeiZhi , Kou QiLong 
Published: October 2024

AbstractWe propose a novel ray reordering technique designed to accelerate the ray tracing process by encoding and sorting rays prior to traversal. Our method, called “hierarchy cut code”, involves encoding rays based on the cuts of the hierarchical acceleration structure, rather than relying solely on spatial coordinates. This approach allows for a more effective adaptation to the acceleration structure, resulting in a more reliable and efficient encoding outcome. Furthermore, our research identifies “bounding drift” as a major obstacle in achieving better acceleration effects using longer sorting keys in existing reordering methods. Fortunately, our hierarchy cut code successfully overcomes this issue, providing improved performance in ray tracing. Experimental results demonstrate the effectiveness of our approach, showing up to a 1.81 times faster secondary ray tracing compared to existing methods. These promising results highlight the potential for further enhancement in the acceleration effect of reordering techniques, warranting further exploration and research in this exciting field.