bluuebunny/crossref_metadata_2025_split huggingface dataset:
The discovery of indazapyroxamet: a novel 3‐pyridinyl insecticide targeting piercing/sucking insectsa
Authors: Zhang Wenming , Slack Rachel D. , Rossi Michael A. , Hamm Jason , Cordova Daniel , Clark David , Lahm George , Kar Moumita , Sana Kashinath , Xu Ming , DeAngelis Andrew , Fraga Breena 
Published: June 2024

AbstractIn recent years, the registrations for a number of commercial insecticides utilized for piercing/sucking insects have been cancelled or restricted. To meet this growing need for new hemipteran controlling agrochemicals, we discovered a 2‐(pyridin‐3‐yl)‐thiazole compound, with limited insecticidal activity against cotton/melon aphid (Aphis gossypii). The 2‐(pyridin‐3‐yl)‐thiazole moiety offered us a basis to pursue the bicyclic 2‐(pyridin‐3‐yl)‐2H‐indazole carboxamides. Evaluation of such 2‐(pyridin‐3‐yl)‐2H‐indazole carboxamides revealed that even analogs containing only simple alkyl amides attached at the 4 or 5 positions possess promising insecticidal activity. Extensive optimization of this novel class of 2‐(pyridin‐3‐yl)‐2H‐indazole carboxamides led to identifying indazapyroxamet for commercial development. © 2024 Society of Chemical Industry.
Excess healthcare resource utilization and costs for commercially insured patients with pulmonary arterial hypertension: A real‐world data analysis
Authors: Weiss Tracey , Ramey Dena R. , Pham Ngan , Shaikh Nazneen Fatima , Tian Dajun , Zhao Xiaohui , Near Aimee M. , Lautsch Dominik , Nathan Steven D. 
Published: June 2024

AbstractThis retrospective study was conducted to evaluate all‐cause healthcare resource utilization (HCRU) and costs in commercially insured patients living with pulmonary arterial hypertension (PAH) and explore end‐of‐life (EOL)‐related HCRU and costs. Data from the IQVIA PharMetrics® Plus database (October 2014 to May 2020) were analyzed to identify adults (≥18 years) with PAH (PAH cohort) and those without PH (non‐PH cohort). Patients were required to have data for ≥12 months before (baseline) and ≥6 months after (follow‐up) the first observed PH diagnosis (index date) for PAH cohort or pseudo index date for non‐PH cohort. A PAH EOL cohort was similarly constructed using a broader data window (October 2014 to March 2022) and ≥1 month of follow‐up. Annualized all‐cause HCRU and costs during follow‐up were compared between PAH and non‐PH cohorts after 1:1 matching on propensity scores derived from patient characteristics. EOL‐related HCRU and costs were explored within 30 days and 6 months before the death date and estimated by a claims‐based algorithm in PAH EOL cohort. The annual all‐cause total ($183,616 vs. $20,212) and pharmacy ($115,926 vs. $7862; both p < 0.001) costs were 8 and 14 times higher, respectively, in the PAH cohort versus matched non‐PH cohort (N = 386 for each). In PAH EOL cohort (N = 28), the mean EOL‐related costs were $48,846 and $167,524 per patient within 30 days and 6 months before the estimated death, respectively. Hospitalizations contributed 58.8%–70.8% of the EOL‐related costs. The study findings indicate substantial HCRU and costs for PAH. While pharmacy costs were one of the major sources, hospitalization was the primary driver for EOL‐related costs.
A combined small cell lung carcinoma patient with only small cell carcinoma components in mediastinal lymph node metastasis and chondrosarcoma‐like components in liver metastasis
Authors: Kawaguchi Takako , Yamasaki Kei , Shigemi Saki , Dosaka Hiroki , Hirosawa Riho , Nagasawa Taiga , Fujimoto Satoshi , Shimajiri Shohei , Yatera Kazuhiro 
Published: June 2024

AbstractA 69‐year‐old ex‐smoker Japanese man presented with a left mediastinal lymph node and left upper lobe tumour. Bronchoscopic biopsy specimens from the enlarged left mediastinal lymph node and left upper lobe tumour revealed small cell lung carcinoma (SCLC). He was treated with first‐line chemotherapy with carboplatin, etoposide, and atezolizumab for four courses and subsequent atezolizumab maintenance therapy. However, his left upper lobe lung tumour only increased in size, and left upper lobectomy revealed combined SCLC (adenocarcinoma and chondrosarcoma‐like features). Four months after lobectomy, liver metastasis of chondrosarcoma‐like features (similar to pathological findings of the left upper lobe tumour) were observed. Combined SCLC, including sarcomatous components, is rare and poorly responds to chemotherapy. The metastases of combined SCLC in this patient were of only one type of histological component, making diagnosis and treatment difficult. If treatment for SCLC responds inadequately, considering combined SCLC and actively re‐examining histological diagnosis is necessary.
Traglastversuche an stabilitätsgefährdeten Zweifeldträgern mit U‐Profilen unter Biegung, Druck und Torsion
Authors: Bours Anna‐Lena , Jörg Fabian , Winkler Rebekka , Kuhlmann Ulrike , Knobloch Markus 
Published: June 2024

AbstractDer Einsatz schlanker Stahlträger fördert die Wettbewerbsfähigkeit von Stahlkonstruktionen im Hochbau. Häufig erfordern diese Träger jedoch einen Nachweis der Stabilität. Die weltweite Forschung auf diesem Gebiet konzentrierte sich bisher hauptsächlich auf Einfeldträger mit doppeltsymmetrischem Querschnitt. Für einfachsymmetrische Querschnitte wie U‐Profile gibt es nur wenige auf versuchsgestützten Untersuchungen basierende Bemessungsregeln. Darüber hinaus wird das Potenzial von Tragsystemen wie Mehrfeldträgern in den normativen Nachweisverfahren nicht vollständig ausgeschöpft. Der vorliegende Beitrag befasst sich daher mit einer experimentellen Studie zum Stabilitätsverhalten von Zweifeldträgern mit U‐Profilen unter Biegung, Druck und Torsion. Mithilfe von Fünf‐Punkt‐Biegeversuchen wurden Tragfähigkeiten bestimmt sowie der Einfluss der konstruktiven Ausbildung des Mittellagers, von Drucknormalkräften, der Bauteilschlankheit und weiterer Parameter auf das Tragverhalten experimentell analysiert. Der Beitrag schafft die wissenschaftliche Grundlage zur Erweiterung des Anwendungsbereichs des Nachweisverfahrens für Bauteile unter Biegung, Druck und Torsion in Anhang C.2 der neuen EN 1993‐1‐1:2022 auf Zweifeldträger mit U‐Profilen.
Lewis‐Acid‐Base Synthesis of [Se3Cl3]2[SnCl6] and [BMIm]2[Ga8As6Cl16O14]
Authors: Bonnin Maxime A. , Suedes Michael D. , Feldmann Claus 
Published: June 2024

Abstract[Se3Cl3]2[SnCl6] (1) and [BMIm]2[Ga8As6Cl16O14] (2) are prepared by Lewis‐acid‐base reaction of SnCl2 with SeCl4 and As2O3 with GaCl3/[BMIm]Cl at room temperature and at 60 °C. 1 contains [ClSe−Se−SeCl2]+ cations with an Se3 unit and isolated octahedral [SnCl6]2− anions. The cation was yet only obtainable via Se0/Se4+ synproportionation in liquid SO2 with AsF5. The [Ga8As6Cl16O14]2− anion in 2 consists of two central edge‐sharing GaO6 octahedra, surrounded by pseudo‐tetrahedral AsO3 units and tetrahedral GaCl3O and GaCl2O2 units. Moreover, an almost planar central Ga4O4 ring surrounded by six GaAs2O3 rings is characteristic, which was not described before. The title compounds are characterized by X‐ray diffraction based on single crystals and powders, infrared spectroscopy, thermogravimetry, and optical spectroscopy.
Development of a Robotic Bin Picking Approach Based on Reinforcement Learning
Authors: Stuke Tobias , Rauschenbach Thomas , Bartsch Thomas 
Published: June 2024

AbstractRobotic bin picking systems aim to automate the feeding process of randomly stored objects in industrial production. Despite being a research field for decades, there is still a gap between research and industrial application. The presented work intends to improve the utilization of bin picking for the industrial manufacturing of electrotechnical components. In this context, the development process of a system approach based on machine learning is stated. First, related work is presented and the research issue is derived. Second, a comparison between major machine learning techniques with respect to bin picking is made and a reinforcement learning approach is chosen for this work. Therein, a neural network learns strategies for grasping objects from bulk material depending on their position in the bin. Based on manifold states in a simulation environment, it is the goal to gain a versatile character of the robot system. In this regard, preselection criteria, discrete action primitives and grasp constraints are defined that incorporate domain knowledge to shorten the training effort.
Domain Knowledge Injection Guidance for Predictive Maintenance
Authors: Afroze Lameya , Merkelbach Silke , von Enzberg Sebastian , Dumitrescu Roman 
Published: June 2024

AbstractWith the integration of Industry 4.0 technologies, overall maintenance costs of industrial machines can be reduced by applying predictive maintenance. Unique challenges that often occur in real-time manufacturing environments require the use of domain knowledge from different experts. However, there is hardly any guidance that suggests data scientists how to inject knowledge from predictive maintenance use cases in machine learning models. This paper addresses this lack and presents a guidance for the injection of domain knowledge in machine learning models for predictive maintenance by analyzing 50 use cases from the literature. The guidance is based on the informed machine learning framework by von Rueden et al. [1]. Finally, the guidance gives a recommendation to data scientists on how domain knowledge can be injected into different phases of model development and suggests promising machine learning models for specific use cases. The guidance is applied exemplarily to two predictive maintenance use cases.
Digital Transition, Innovation and Business Models in Airbnb: A Bibliometric Analysis
Authors: Barrera-Martínez Ana María , Parra-López Eduardo 
Published: June 2024

AbstractThe process of digital transition often involves disruptive innovations in the ways we work, processes and how we understand firms. These flexible processes and their ability to be innovative require mechanisms of collective knowledge and uniqueness. Similarly, the application of business models and the management of Airbnb is another field of study, which has not been explored in sufficient depth in the academic literature. However, the applications and possible derivatives of their impact need to be clarified. To this end, a bibliometric analysis is carried out through the VOSviewer and Bibliometrix software’s, grouping the aforementioned constructs and resulting in a total analysis of 4729 published works, 97 countries and 2872 authors. After this process, the reality that links the phenomena of digital transition, innovation, business models and Airbnb will be known and future lines of research are proposed to complete this conclusion.
The B-spline mapping function (BMF): representing anisotropic troposphere delays by a single self-consistent functional model
Authors: He Shengping , Hobiger Thomas , Becker Doris 
Published: June 2024

AbstractTroposphere’s asymmetry can introduce errors ranging from centimeters to decimeters at low elevation angles, which cannot be ignored in high-precision positioning technology and meteorological research. The traditional two-axis gradient model, which strongly relies on an open-sky environment of the receiver, exhibits misfits at low elevation angles due to their simplistic nature. In response, we propose a directional mapping function based on cyclic B-splines named B-spline mapping function (BMF). This model replaces the conventional approach, which is based on estimating Zenith Wet Delay and gradient parameters, by estimating only four parameters which enable a continuous characterization of the troposphere delay across any directions. A simulation test, based on a numerical weather model, was conducted to validate the superiority of cyclic B-spline functions in representing tropospheric asymmetry. Based on an extensive analysis, the performance of BMF was assessed within precise point positioning using data from 45 International GNSS Service stations across Europe and Africa. It is revealed that BMF improves the coordinate repeatability by approximately $$10\%$$

10
%

horizontally and about $$5\%$$

5
%

vertically. Such improvements are particularly pronounced under heavy rainfall conditions, where the improvement of 3-dimensional root mean square error reaches up to $$13\%$$

13
%

.
Increasing returns and labor markets in a predator–prey model
Authors: Dosi Giovanni , Usula Davide , Virgillito Maria Enrica 
Published: June 2024

AbstractThe purpose of this work is to study the joint interaction of three founding elements of modern capitalism, namely endogenous technical change, income distribution, and labor markets, within a low-dimensional nonlinear dynamic setup extending the Goodwin model. Going beyond the conservative structure typical of the predator–prey model, we insert an endogenous source of energy, namely a Kaldor–Verdoorn (KV) increasing returns specification, that feeds the dynamics of the system over the long run and in that incorporates a transition to an (anti)-dissipative framework. The qualitatively dynamics and ample array of topological structures reflect a wide range of Kaldorian stylized facts, as steady productivity growth and constant shares of income distribution. The intensity of learning regimes and wage sensitivity to unemployment allow to mimic some typical traits of both Competitive and Fordist regimes of accumulation, showing the relevance of the demand-side engine, represented by the KV law, within an overall supply-side framework. High degrees of learning regimes stabilize the system and bring it out of an oscillatory trap. Even under regimes characterized by low degrees of learning, wage rigidity is able to stabilize the business cycle fluctuations and exert a positive effect on productivity growth.
Entanglement of Vortices in the Ginzburg–Landau Equations for Superconductors
Authors: Enciso Alberto , Peralta-Salas Daniel 
Published: June 2024

AbstractIn 1988, Nelson proposed that neighboring vortex lines in high-temperature superconductors may become entangled with each other. In this article we construct solutions to the Ginzburg–Landau equations which indeed have this property, as they exhibit entangled vortex lines of arbitrary topological complexity.
Contrast-enhanced ultrasound of renal masses in the pre-transplant setting: literature review with case highlights
Authors: Barkovich Krister J. , Gibson Amanda C. , Brahmbhatt Sneh , Tadisetty Sindhura , Wilds Emory C. , Nelson Leslie W. , Gupta Meera , Gedaly Roberto , Khurana Aman 
Published: June 2024

AbstractWith the rising incidence of chronic kidney disease worldwide, an increasing number of patients are expected to require renal transplantation, which remains the definitive treatment of end stage renal disease. Medical imaging, primarily ultrasonography and contrast-enhanced CT and/or MRI, plays a large role in pre-transplantation assessment, especially in the characterization of lesions within the native kidneys. However, patients with CKD/ESRD often have relative contraindications to CT- and MR-contrast agents, limiting their utilization within this patient population. Contrast-enhanced ultrasound (CEUS), which combines the high temporal and spatial resolution of ultrasonography with intravascular microbubble contrast agents, provides a promising alternative. This review aims to familiarize the reader with the literature regarding the use of CEUS in the evaluation of cystic and solid renal lesions and provide case examples of its use at our institution in the pre-transplant setting.
Graphical abstract
Investigating gunshot wounds in charred bone with XRF spectroscopy: a technical note
Authors: Bonizzoni Letizia , Mazzarelli Debora , Franceschetti Lorenzo , Vitali Chiara , Amadasi Alberto , Cattaneo Cristina 
Published: June 2024

AbstractThe analysis of traces of injuries can be difficult in cases of charred human remains since the alteration and fragmentation are high. The aim of this study is to explore the use of X-Ray Fluorescence (XRF) technique as a screening tool for detecting and analyzing gunshot residues (GSR) on cremated and highly fragmented materials, as it is a technique that allows for fast qualitative investigations without altering the sample or requiring sample preparation. The study was carried out on two steps: firstly, on completed skeletonized bones to verify if GSR survive to burning; secondly, we considered a more realistic situation, in which soft tissues were present before the shooting. To this aim, nine adult bovine ribs, four retaining soft tissue, five completely skeletonized, were subjected to a shooting test using two types of 9 mm projectiles (jacketed and unjacketed bullets). The ribs were then burnt until complete calcination in an electric furnace. The entry wound of each rib was analyzed using XRF, revealing traces of GSR. The XRF analysis showed that all samples, except for one, contain Pb and/or Sb near the lesion. Furthermore, the samples hit by unjacketed bullets had a more significant presence of Pb in macroscopic yellow areas, which persisted when moving away from the gunshot. These findings could pave the way for the use of XRF technology, mostly when a fast and immediate scan must be done on osteologic materials by a conservative method.
TRPS1 expression in breast angiosarcoma
Authors: Pancsa Tamás , Pósfai Boglárka , Schubert Anna , Almási Szintia , Papp Eszter , Chien Yi-Che Chang , Kálmán Endre , Kovács Kristóf Attila , Kulka Janina , Varga Linda , Cserni Gábor , Kuthi Levente 
Published: June 2024

AbstractAngiosarcoma (AS) of the breast, a rare mesenchymal neoplasm, exhibits distinct forms based on etiological and genetic features. While cases with typical clinical presentation and morphology allow for a straightforward diagnosis, challenges arise when clinical data are scarce, diagnostic material is limited, or morphological characteristics overlap with other tumors, including undifferentiated carcinomas. The trichorhinophalangeal syndrome protein 1 (TRPS1), once regarded as highly specific for breast carcinomas, now faces doubts regarding its reliability. This study explores TRPS1 expression in breast AS. Our investigation revealed that 60% of AS cases displayed TRPS1 labeling, contrasting with the 40% lacking expression. Scoring by four independent readers established a consensus, designating 12/35 ASs as unequivocally TRPS1-positive. However, uncertainty surrounded nine further cases due to a lack of reader agreement (being substantial as reflected by a kappa value of 0.76). These findings challenge the perceived specificity of TRPS1, shedding light on its presence in a noteworthy proportion of breast ASs. Consequently, the study underscores the importance of a comprehensive approach in evaluating breast ASs and expands the range of entities within the differential diagnosis associated with TRPS1 labeling.
MAC approaches to communication efficiency and reliability under dynamic network traffic in wireless body area networks: a review
Authors: Herculano Jorge , Pereira Willians , Guimarães Marcelo , Cotrim Reinaldo , de Sá Alirio , Assis Flávio , Macêdo Raimundo , Gorender Sérgio 
Published: June 2024

AbstractWireless Body Area Networks (WBANs) are wireless sensor networks that monitor the physiological and contextual data of the human body. Nodes in a WBAN communicate using short-range and low-power transmissions to minimize any impact on the human body’s health and mobility. These transmissions thus become subject to failures caused by radiofrequency interference or body mobility. Additionally, WBAN applications typically have timing constraints and carry dynamic traffic, which can change depending on the physiological conditions of the human body. Several approaches for the Medium Access Control (MAC) sublayer have been proposed to improve the reliability and efficiency of the WBANs. This paper proposes and uses a systematic literature review (SLR) method to identify, classify, and statistically analyze the published works with MAC approaches for WBAN efficiency and reliability under dynamic network traffic, radiofrequency interference, and body mobility. In particular, we extend a traditional SLR method by adding a new step to select publications based on qualitative parameters. As a result, we identify the challenges and proposed solutions, highlight advantages and disadvantages, and suggest future works.
Quantitative evaluation of lower limb varicose veins using photoacoustic imaging
Authors: Urano Moemi , Nagae Kenichi , Matsuda Sachiko , Matsubara Kentaro , Yagi Takayuki , Imanishi Nobuaki , Aiso Sadakazu , Obara Hideaki , Jinzaki Masahiro 
Published: June 2024

Abstract
Purpose
Varicose veins in the lower extremities are dilated subcutaneous varicose veins with a diameter of  ≥ 3 mm, caused by increased venous pressure resulting from backflow of blood due to venous valve insufficiency (Gloviczki in Handbook of venous disorders: guidelines of the American venous forum, Hodder Arnold, London, 2009). When diagnosing varicose veins, the shape and thickness of the blood vessels should be accurately visualized in three dimensions. In this study, we investigated a new method for numerical evaluation of vascular morphology related to varicose veins in the lower extremities, using a photoacoustic imaging (PAI) system, which can acquire high-resolution and three-dimensional images noninvasively.

Methods
Nine patients with varicose veins participated in the study, and their images were captured using an optical camera and PAI system. We visualized the vascular structure, created a blood presence density (BPD) heat map, and examined the correlation between BPD and location of varicose veins.

Results
The obtained photoacoustic (PA) images demonstrated the ability of this method to visualize vessels ranging from as small as 0.2 mm in diameter to large, dilated vessels in three dimensions. Furthermore, the study revealed a correlation between the high-density part of the BPD heat map generated from the PAI images and the presence of varicose veins.

Conclusion
PAI is a promising technique for noninvasive and accurate diagnosis of varicose veins in the lower extremities. By providing valuable information on the morphology and hemodynamics of the varicose veins, PAI may facilitate their early detection and treatment.
A comprehensive assessment of artificial intelligence applications for cancer diagnosis
Authors: Singh Gaurav , Kamalja Anushka , Patil Rohit , Karwa Ashutosh , Tripathi Akansha , Chavan Pallavi 
Published: June 2024

AbstractArtificial intelligence (AI) is being used increasingly to detect fatal diseases such as cancer. The potential reduction in human error, rapid diagnosis, and consistency of judgment are the primary motives for using these applications. Artificial Neural Networks and Convolution Neural Networks are popular AI techniques being increasingly used in diagnosis. Numerous academics have explored and evaluated AI methods used in the detection of various cancer types for comparison and analysis. This study presents a thorough evaluation of the AI techniques used in cancer detection based on extensively researched studies and research trials published on the subject. The manuscript offers a thorough evaluation and comparison of the AI methods applied to the detection of five primary cancer types: breast cancer, lung cancer, colorectal cancer, prostate cancer, skin cancer, and digestive cancer. To determine how well these models compare with medical professionals’ judgments, the opinions of developed models and of experts are compared and provided in this paper.