bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alignment‐free diffuser film composed of a multilayer dielectric and a microprism layer for mini‐LED backlights
Authors: Nishikawa Marii , Taniguchi Yukio , Goto Masahiro , Ohyagi Yasuyuki , Kanai Yoshihiro , Sekido Masayuki , Yamamoto Hirotsugu 
Published: December 2024

AbstractWe propose a novel diffuser film structure designed for mini‐LED backlights. The proposed film is composed of a multilayer dielectric and a microprism layer. The dielectric layers function as an angle filter that does not transmit blue light directly above the LED and only transmits blue light with an incident angle above a designed value. The microprism layer controls the direction of the LED light and replicates the LED lights laterally. This combination of angle filter and microprism layer makes the illuminance distribution uniform without requiring alignment between the LED chips and the diffuser film. Our proposed diffuser film provides 4× better efficiency, better uniformity than conventional films, and only 50 μm thickness.
Integrated Optical Tunable Delay Line and Microwave Photonic Beamforming Chip: A Review
Authors: Shi Shangqing , Niu Hongsheng , Shi Wenhu , Lin Dongdong , Li Simin , Pan Shilong , Yun Binfeng 
Published: December 2024

AbstractThe microwave photonic (MWP) beamforming chip is a crucial component for achieving the miniaturization of optically controlled phased array radar systems. It addresses the unwanted ‘beam squint’ effect of traditional electronic antenna arrays in processing wideband RF signals through optical tunable delay lines (OTDLs), which has garnered significant attention and research efforts in recent years. This review provides a comprehensive overview of the latest research progress on the classification, working principle, calibration and delay measurement methods, driving and control technologies, and system function verifications of OTDL and MWP beamforming chips. Also, discussions about the challenges that need to be addressed and the future development trends for this technology are given.
Bidimensional Gegenbauer Polynomials for Variable‐Order Time‐Fractional Integro‐Partial Differential Equation With a Weakly Singular Kernel
Authors: Yaghoubi Sara , Aminikhah Hossein , Sadri Khadijeh 
Published: December 2024

ABSTRACTIn this paper, a pseudo‐operational collocation method based on Gegenbauer polynomials is presented to solve a category of variable‐order time‐fractional integro‐partial differential equations with singular kernels. The applications of these functional equations can be revealed in the theory of elasticity, hydrodynamics, heat conduction, and nuclear reactor theory. The pseudo‐operational matrices are constructed utilizing bivariate Gegenbauer polynomials to approximate the solution of the mentioned equation. Then, using the collocation method and resultant matrices, the main equation is converted into a system of algebraic equations that can be solved by Newton's iteration method. Besides presenting a fast and accurate method, an error bound is determined in a Gegenbauer‐weighted space for the residual function obtained from the proposed approach. Finally, several test examples are performed to confirm the reliability and efficiency of the proposed method.
A minimal physiologically‐based pharmacokinetic modeling platform to predict intratumor exposure and receptor occupancy of an anti‐LAG‐3 monoclonal antibody
Authors: Michelet Robin , Petersson Klas , Huisman Marc C. , Menke‐van der Houven van Oordt C. Willemien , Miedema Iris H. C. , Thiele Andrea , Montaseri Ghazal , Pérez‐Pitarch Alejandro , Busse David 
Published: December 2024

AbstractIn oncology drug development, measuring drug concentrations at the tumor site and at the targeted receptor remains an ongoing challenge. Positron emission tomography (PET)‐imaging is a promising noninvasive method to quantify intratumor exposure of a radiolabeled drug (biodistribution data) and target saturation by treatment doses in vivo. Here, we present the development and application of a minimal physiologically‐based pharmacokinetic (mPBPK) modeling approach to integrate biodistribution data in a quantitative platform to characterize and predict intratumor exposure and receptor occupancy (RO) of BI 754111, an IgG‐based anti‐lymphocyte‐activation gene 3 (LAG‐3) monoclonal antibody (mAb). Specifically, calibration and qualification of the predictions were performed using 89Zr‐labeled BI 754111 biodistribution data, that is, PET‐derived intratumor drug concentration data, tumor‐to‐plasma ratios, and data from Patlak analyses. The model predictions were refined iteratively by the inclusion of additional biological processes into the model structure and the use of sensitivity analyses to assess the impact of model assumptions and parameter uncertainty on the predictions and model robustness. The developed mPBPK model allowed an adequate description of observed tumor radioactivity concentrations and tumor‐to‐plasma ratios leading to subsequent adequate prediction of LAG‐3 RO at different dose levels. In the future, the developed model could be used as a platform for the prediction and analysis of biodistribution data for other mAbs and may ultimately support dose optimization by identifying dosages resulting in saturated RO.
Facile Construction of Soft Plasmonic Sensors with Exceptional Optical Activity for Quantitative Chiral Detection
Authors: Xi Panyi , Zhao Wenjing , Cao Yu , Xie Shengdan , Wang Pengpeng , Ungar Goran , Ye Xichong , Liu Feng 
Published: December 2024

AbstractThe facile construction of transmissive films with ultrabroad optical activity, spanning from deep‐ultraviolet to short‐wave infrared and offering convenient tunability across a wide range, is highly desirable for applications in sensing, imaging, and communication. However, achieving this remains challenging. Here, an easily applied wet‐stretching method is introduced that simultaneously orients polymeric substrates and surface‐coated plasmonic nanorods. Stacking two such hybrid films at an angle produces ultrastrong (ellipticity≈104 mdeg, gabs≈1) and broadband (200–2500 nm) circular dichroism (CD). The polymer's excellent strength and flexibility allow for broad‐range tuning of the CD spectra by applying external force. The optical activity is sensitive to intervening medium, facilitating chiral detection of various inserted analytes in the forms of films, salt pellets, or solutions. This cost‐effective and scalable fabrication strategy not only pioneers an expandable method for inducing chirality across diverse materials, but also offers a universal approach for constructing precise, non‐destructive, non‐contact, and reusable chiral sensors.
Assessment of induction furnace steel slag as a potential river sand substitute for the production of standard concrete
Authors: Panda Akash Prava , Mohapatra Biswajit , Das Sai Sarthak , Dash Satyazit , Sethy Chinmay Kumar 
Published: December 2024

AbstractThe global construction industry consumes about 50 billion tons of sand every year and in the last two decades; the consumption has tripled in amount. As a critical concern, continuous research is in progress to examine numerous materials as alternatives of river sand. This study focuses to completely replace river sand by induction furnace steel slag (IFSS) for producing standard concrete of M25 grade without compromising the mechanical strength of the resulting mix. One hundred and fifty millimeter sized cubes and 150 mm × 300 mm sized cylinders were casted using Portland slag cement (PSC) and Portland pozzolana cement (PPC) as per Indian standard provisions. Laboratory tests were performed to assess workability, hardened density, compressive strength (7 and 28 days) and splitting tensile strength (28 days). At 100% replacement level, the obtained values of (PSC, PPC) specimens are: slump values (35, 40 mm); hardened density (2730, 2790 kg/m3); compressive strength (34.83, 38.10 MPa) and splitting tensile strength (3.03, 3.32 MPa). This research will act as a game‐changer in the construction industry towards a global sustainable future.
Integrating axiomatic design and design structure matrix into model‐based systems engineering: A case study for emergency response space mission design
Authors: Zhang Yutong , Ye Dong , Wei Cheng , Sun Zhaowei 
Published: December 2024

AbstractWith the increasing complexity of space missions due to technological advancements, model‐based systems engineering (MBSE) has become a new paradigm for systems engineering (SE), providing a more formal and accurate system engineering process while reducing costs. However, MBSE does not offer a comprehensive approach for effective system function design. This study introduces a conceptual design approach that integrates axiomatic design (AD) and design structure matrix (DSM) into the MBSE paradigm and applies it to functional and logical design. The research focuses on utilizing the design knowledge encapsulated by system models to facilitate the development of new systems. System models have the potential to bridge different design domains in AD, reveal implicit associations, and offer functional and structural analysis capabilities. To validate our approach, we conducted a case study on an Emergency Response Remote Sensing mission system. This case study demonstrates that our proposed methodology lends formality to traditional AD by deriving AD matrices and DSMs from a system model, thereby enhancing the system's structure while curtailing elemental alterations during iterative design processes. The novelty of this research lies in realizing the integration of traditional design theory with the model paradigm of SE, leading to an effective design solution during the functional and logical design stages.
Nudging tax filing through text message combinations: evidence from Pakistan
Authors: Abdelnabi Mariam , Afraz Nazish , Ahmed Talal , Ayub Ahmad , Makki Fadi , Said Farah , Schiektekat Paola , Vlaev Ivo 
Published: December 2024

Abstract
Developing countries, with limited monitoring and auditing capabilities, face significant tax evasion issues. This study examines the impact of various text message combinations on promoting tax compliance, particularly in encouraging service providers to submit monthly sales tax returns in Khyber Pakhtunkhwa, Pakistan. A randomised controlled trial involved 18,087 service providers and tested three types of SMS reminders. These included a basic reminder for the due date, a reciprocity message emphasising social responsibility, and a loss aversion (LA) message highlighting financial penalties and deactivation. Subsequently, service providers who didn’t file on time received one of three warning messages. These warnings included a basic alert about potential legal action, financial penalties, and deactivation, as well as a message framing continued non-compliance as an active choice (AC). Overall, the interventions did not significantly influence tax filing behaviour beyond basic reminders and warnings. However, compliance improved for early registrants with the LA reminder and AC warning, and these results were robust to multiple hypothesis testing corrections. Compliance worsened for recent registrants in all combinations except the LA reminder and AC warning. These findings suggest that targeted low-cost messages that convey vague threats can improve tax compliance among certain taxpayer groups.
Experiences of Communities Living in Shelters During the 2022 Eastern Kentucky Floods
Authors: Balasuriya Lilanthi , Johnson Oshea , Riley Tammy , Lockard Anthony Scott , McManus Pamela , Raleigh Angela , Ellis Martha , Schnall Amy Helene , Hanchey Arianna , Darling Sandra , Bolen Kristy , Thoroughman Doug 
Published: December 2024

Abstract

Background
On July 28, 2022, floods in eastern Kentucky displaced over 600 individuals. With the goal of understanding mental health needs of affected families, we surveyed households living in flood evacuation shelters after the 2022 Kentucky floods.

Methods
Families experiencing displacement from the 2022 Kentucky floods currently living in three different temporary shelter locations were surveyed via convenience sampling. A rapid community needs assessment involving in-person interviews using modified two stage cluster methodology (CASPER) was conducted between September 6-9, 2022.

Results
Teams conducted 61 household interviews. Since the flood, 27.7% reported that their household received services from behavioral health and 19.6% received grief counseling. Experiencing agitation (36.7%), difficulty concentrating (47.5%), nightmares (62.3%), or suicidal thoughts/self-harm (6.6%) were reported by households surveyed. Over one-fourth (27.0%) of individuals surveyed reported being depressed nearly every day. Over 20% reported anhedonia (inability to feel pleasure) nearly every day. Over 75% of individuals surveyed reported being anxious several days or more over the last two weeks. Over one-third of individuals (34.0%) reported being unable to stop worrying nearly every day. Of those individuals surveyed, 36.1% reported barriers to mental health services.

Conclusions
Symptoms of depressed mood, anhedonia, anxiety, and nightmares were prevalent in displaced families six weeks after the 2022 Kentucky floods. Providing and encouraging access to mental health services are important priorities during disaster recovery.
Assessing the Public Health Consequences of Terrorist Attacks on Telecommunications Infrastructure: A Global Analysis
Authors: Mani Zakaria , Goniewicz Krzysztof 
Published: December 2024

Abstract

Objectives
This study investigates the public health implications of terrorist attacks on telecommunications infrastructure globally, assessing the direct and indirect impacts on emergency response and medical services.

Methods
Utilizing retrospective analysis, this research delves into incidents recorded in the Global Terrorism Database (GTD) from 1970 to 2020. The study employs descriptive statistical methods to identify patterns and examine the regional distribution and frequency of these attacks, alongside the types of weaponry used and the direct casualties involved.

Results
The analysis underscores a significant focus on telecommunications by terrorist groups, revealing a frequent use of high-impact weapons like explosives and incendiary devices aimed at maximizing disruption. The study highlights considerable regional variations in the frequency and nature of attacks, emphasizing the strategic importance of these infrastructures to public safety and health systems.

Conclusions
The findings demonstrate the critical need for robust security enhancements tailored to regional threats and the integration of advanced technologies in public safety strategies. The research advocates for enhanced international cooperation and policymaking to mitigate the impacts of these attacks, ensuring telecommunications resilience in the face of global terrorism.
Image-Based Sexual Abuse and EU Law: A Critical Analysis
Authors: Rigotti Carlotta , McGlynn Clare , Benning Franziska 
Published: December 2024

Abstract
In May 2024, the European Union adopted the Directive on violence against women and domestic violence, marking the first EU-wide binding legislation to address various forms of sexualized and gendered harm. This Article provides the first comprehensive analysis of the Directive’s provisions on image-based sexual abuse (“IBSA”), encompassing the non-consensual taking, creating, and sharing of intimate materials, as well as threats to distribute them. While acknowledging the aim to harmonize legislation at the Union level, the Article identifies a range of limitations and the failure to fully reflect the diverse experiences of victims. Additionally, the Article evaluates the complementary roles in combating IBSA of the Digital Services Act and the AI Act which impose obligations on online platforms, search engines, and AI developers. Overall, the current EU framework represents a promising but partial approach. If the EU is to comprehensively address IBSA and safeguard victims’ rights, implementation beyond the minimum will be required together with proactive, effective regulation.
Unsettling the Reflections in a Pond: The Educational Thought of José Ortega y Gasset
Authors: Tate Nicholas 
Published: December 2024

AbstractSpain’s greatest modern philosopher, José Ortega y Gasset (1883-1955), wrote about many aspects of education including its aims; the education of children, nations, and elites; types of pedagogy; the reform of the university; and the challenges facing educators in an era of “triumphant plebeianism.” The article examines all aspects of Ortega’s educational thought, with a particular focus on his ideas about elites and their education, drawing on writings unavailable in English, including texts not published during his lifetime. At the heart of his writing is a vision of the qualities needed to enable individuals to make what he called a “project” out of their lives along with a powerful advocacy of the non-utilitarian and Socratic pedagogies that would help achieve that vision. The article looks at the balance of radical and conservative elements within Ortega’s educational thought and its relation to earlier “progressive” thinkers, and concludes with an evaluation of his legacy.
Knowing ‘how to create’ in order to know ‘how to teach’? Perceptions and conditioning of Spanish music teachers in secondary education
Authors: Castro-Alonso Vicente , Chao-Fernández Rocío 
Published: December 2024

Abstract
Music teachers in secondary education tend to undervalue the professional competence of creating music, in response to educational models that prioritise the development of musical interpretation skills. The aim of this research is to identify the factors that contribute to this belief among teachers in Spain, by analysing the results of the Professional Competences of the Music Teacher questionnaire (n = 112). Significant differences were found between age categories, as well as significant linear correlations between teachers’ perceptions of their preparation during initial training, their practical skills and habits, and the professional importance they attached to their competence in musical creation.
KI-gestützte Untersuchung in der nicht-operativen Versorgung
symptomgebender Erkrankungen des Kniegelenks – ein multiprofessionelles Konzept
(KINEESIO)
Authors: Schulze Elke , Palm Christoph , Kerschbaum Maximilian , Seidel Roman , Lehmann Lars , Koller Michael , Pfingsten Andrea 
Published: December 2024

ZusammenfassungBeschwerdebilder am Kniegelenk aufgrund muskuloskelettaler degenerativer oder
verletzungsbedingter Erkrankungen sind häufig, nehmen im Alter zu und sind mit
der steigenden Inanspruchnahme ärztlicher und therapeutischer
Behandlungsmaßnahmen verbunden. Einer erfolgreichen Therapie gehen oft
notwendige zeit- und ressourcenaufwendige Untersuchungen zur Erkennung und
Differenzierung der patient*innenspezifischen Problematik voraus.Im Zusammenhang mit der nicht-operativen Versorgung des Kniegelenks hat ein
sektorübergreifendes multiprofessionelles Forschungsteam ein Konzept entwickelt,
um künstliche neuronale Netze so zu trainieren, dass sie bei der ärztlichen und
physiotherapeutischen Untersuchung unterstützend Einsatz finden können. Denn
gerade in der Erfassung und Auswertung umfassender Datenmengen liegen große
Potenziale in der Künstlichen Intelligenz (KI) im Gesundheitswesen.Das Projekt KINEESIO trainiert und testet KI-gestützte Screening-Tools zur
Untersuchung von Patient*innen mit Kniegelenkerkrankungen. Diese unterstützen
die Abläufe zwischen Leistungserbringern und Patient*innen, tragen zu einer
verbesserten Differenzierung individueller Beschwerdebilder bei und dienen
Entscheidungsprozessen für eine adäquate Versorgung. Dadurch sollen Ressourcen
im Gesundheitswesen geschont und eine qualitativ hochwertige Therapie
ausreichend ermöglicht werden.
Percutaneous Biopsy and Drainage of the Pancreas
Authors: Redstone Ellen A. , Li Zhenteng 
Published: December 2024

AbstractPercutaneous biopsy and drainage of pancreatic lesions, though less frequent due to advancements in endoscopic techniques, remain vital skills for interventional radiologists. This review details the indications, options, approaches, and technical considerations for pancreatic biopsy and (peri)pancreatic fluid drainage by examining a comprehensive range of literature. The importance of a multidisciplinary approach is emphasized to ensure optimal patient care and outcomes, highlighting current best practices and recent advancements.
Research on automatic switching of hydraulic feed dual process in honing processing
Authors: Lu Yong , Pei Hailong , Li Guang , Deng Haijun 
Published: December 2024

Abstract
Honing is a finishing process used for the inner cylindrical surfaces of engine blocks or liners. The process involves abrasive particles bonded to the surface of a honing head, which come into contact with the inner bore surface, performing an oscillating and rotational motion. These motions follow a specific pattern, allowing for the creation of crosshatch patterns on the inner bore surface, thereby improving dimensional accuracy, form accuracy and reducing surface roughness. Common honing processes are divided into four distinct phases: material removal, crosshatching, finish honing, and plateau honing. Each phase corresponds to specific tasks such as material removal from the bore, creating crosshatch patterns, honing the peaks in the crosshatch, and final surface finishing. In computer numerical control (CNC)-based honing machine, individual control commands are typically used to manage each of these phases separately. The commands are combined according to process requirements to achieve the desired honing results. To enhance the efficiency of the honing process, this study focuses on the hydraulic feed of the abrasive strips on the honing head, specifically examining the automatic continuous switching between finish honing and plateau honing. The research analyzes the honing principles, develops a control algorithm for dual-process automatic switching, and validates the process through machining tests. Compared to single-process control, the proposed algorithm significantly improves processing efficiency. Additionally, this algorithm can be applied to other dual-process automatic switching controls, providing valuable insights for the design of CNC honing systems.
An improved LIO-SAM lidar inertial odometer with dynamic point filtering
Authors: Zhang Hangtian , Ma Zhongli , Zhang Guoliang , Liu Jiajia 
Published: December 2024

Abstract
LIO-SAM is an extensively utilized SLAM (Simultaneous Localization and Mapping) algorithm, featuring an integrated lidar-inertial odometry framework for high-precision, real-time trajectory estimation and mapping in mobile robots. In this paper, we integrate the lidar Iris loop detection algorithm into the LIO-SAM framework to solve the poor loop detection of LIO-SAM itself and the poor loop detection effect of Scan Context resulting from varying lidar directions passing through the same location. Additionally, an enhanced dynamic point filtering algorithm relying on ERASOR is developed to mitigate the presence of dynamic points in the point cloud map created by SLAM. Finally, validation with the KITTI dataset confirms the effectiveness of these algorithms, laying a robust foundation for further advancements.