bluuebunny/crossref_metadata_2025_split huggingface dataset:
Makulaschichtforamen – im Zentrum der vitreomakulären Grenzflächenerkrankungen
Authors: Klaas Julian E. , Lommatzsch Albrecht , Krohne Tim U. , Hattenbach Lars-Olof , Priglinger Siegfried 
Published: June 2024

Zusammenfassung
Hintergrund
Das Makulaschichtforamen (LMH) zeichnet sich durch eine differenzierte, morphologische Konfiguration aus und lässt sich anhand eindeutiger morphologischer Merkmale von nahestehenden Entitäten wie dem makulären Pseudoforamen (MPH) und der epiretinalen Membran mit Foveoschisis (ERM-FS) abgrenzen.

Ziel
Anhand des aktuellen Wissenstands soll die pathophysiologische Funktion des LMH im Spektrum vitreoretinaler Grenzflächenerkrankungen beschrieben und therapeutische Konzepte sollen vorgestellt werden.

Methoden
Die verfügbare Studienlage wird durch Fallberichte erweitert, um zu einer schematischen Übersicht der Spontanverläufe und Therapiekonzepte am vitreomakulären Übergang zu gelangen.

Ergebnisse
Das Makulaschichtforamen kann beim erwachsenen Patienten als retrospektiver Marker für eine stattgehabte pathologische hintere Glaskörperabhebung interpretiert werden und steht im pathophysiologischen Zentrum der traktiven Makulopathien. Verschiedene vitreomakuläre Pathologien können in einem LMH resultieren: eine gelöste vitreomakuläre Traktion, ein spontan verschlossenes durchgreifendes Makulaforamen oder eine epiretinale Membran mit Foveoschisis. Pathophysiologisch ist von einem degenerativen, progressiven Verlust der Architektur des fovealen Müller-Zell-Konus auszugehen, der in der typischen Unterminierung der Lochränder und vereinzelt im Verlauf auch in einem durchgreifenden Makulaforamen münden kann. Der optimale Zeitpunkt sowie die adäquate Operationsmethode stehen im Fokus aktueller klinischer Studien.

Schlussfolgerung
Die Pathophysiologie des LMHs deutet auf einen fließenden Übergang der traktiven Makulopathien hin, die standardisiert und prospektiv ausgewertet werden sollten, um evidenzbasierte Therapiestrategien beim LMH entwickeln zu können.
Batch and semi-continuous treatment of cassava wastewater using microbial fuel cells and metataxonomic analysis
Authors: Quintero-Díaz Juan Carlos , Gil-Posada Jorge Omar 
Published: June 2024

AbstractThe treatment of agroindustrial wastewater using microbial fuel cells (MFCs) is a technological strategy to harness its chemical energy while simultaneously purifying the water. This manuscript investigates the organic load effect as chemical oxygen demand (COD) on the production of electricity during the treatment of cassava wastewater by means of a dual-chamber microbial fuel cell in batch mode. Additionally, specific conditions were selected to evaluate the semi-continuous operational mode. The dynamics of microbial communities on the graphite anode were also investigated. The maximum power density delivered by the batch MFC (656.4 μW m$$^{-2}$$

-
2

) was achieved at the highest evaluated organic load (6.8 g COD L$$^{-1}$$

-
1

). Similarly, the largest COD removal efficiency (61.9%) was reached at the lowest organic load (1.17 g COD L$$^{-1}$$

-
1

). Cyanide degradation percentages (50–70%) were achieved across treatments. The semi-continuous operation of the MFC for 2 months revealed that the voltage across the cell is dependent on the supply or suspension of the organic load feed. The electrode polarization resistance was observed to decreases over time, possibly due to the enrichment of the anode with electrogenic microbial communities. A metataxonomic analysis revealed a significant increase in bacteria from the phylum Firmicutes, primarily of the genus Enterococcus.
Platform investment and seller competition in two-sided markets
Authors: Angelini Francesco , Castellani Massimiliano , Zirulia Lorenzo 
Published: June 2024

Abstract
Platforms can create value within their ecosystems through their investments. In this paper, we model a monopolistic platform choosing the level of a demand-enhancing investment and the membership fees that sellers and buyers pay to access the platform. We find that platform size and quality are large when the degree of product differentiation among sellers and investment productivity are high. Platform profit and users’ surplus are aligned. If the platform sells a product under its brand, incentives to invest are higher, compared to a pure marketplace, and sellers’ surplus can be larger if the degree of product differentiation is low.
Neural models for semantic analysis of handwritten document images
Authors: Tüselmann Oliver , Fink Gernot A. 
Published: June 2024

AbstractSemantic analysis of handwritten document images offers a wide range of practical application scenarios. A sequential combination of handwritten text recognition (HTR) and a task-specific natural language processing system offers an intuitive solution in this domain. However, this HTR-based approach suffers from the problem of error propagation. An HTR-free model, which avoids explicit text recognition and solves the task end-to-end, tackles this problem, but often produces poor results. A possible reason for this is that it does not incorporate largely pre-trained semantic word embeddings, which turn out to be one of the most powerful advantages in the textual domain. In this work, we propose an HTR-based and an HTR-free model and compare them on a variety of segmentation-based handwritten document image benchmarks including semantic word spotting, named entity recognition, and question answering. Furthermore, we propose a cross-modal knowledge distillation approach to integrate semantic knowledge from textually pre-trained word embeddings into HTR-free models. In a series of experiments, we investigate optimization strategies for robust semantic word image representation. We show that the incorporation of semantic knowledge is beneficial for HTR-free approaches in achieving state-of-the-art results on a variety of benchmarks.
Usefulness of bicarbonate-based Impella purge solution in a patient with heparin-induced thrombocytopenia: the first case report of long-term management in Japan
Authors: Nagai Shin , Hiraiwa Hiroaki , Ito Ryota , Koyama Yuichiro , Kondo Kiyota , Kazama Shingo , Kondo Toru , Morimoto Ryota , Okumura Takahiro , Ito Hideki , Yoshizumi Tomo , Mutsuga Masato , Murohara Toyoaki 
Published: June 2024

Abstract
Percutaneous mechanical circulatory support utilizing micro-axial flow pumps, such as the Impella group of devices, has become a life-saving technique in the treatment of refractory cardiogenic shock, with ever-increasing success rates. A 30-year-old man presented with acute decompensated heart failure and a severely reduced left ventricular ejection fraction (17%). Despite initial treatment with inotropic drugs and intra-aortic balloon pump support, his hemodynamic status remained unstable. Transition to Impella CP mechanical circulatory support was made on day 6 owing to persistently low systolic blood pressure. A significant decline in platelet count prompted suspicion of heparin-induced thrombocytopenia (HIT), later confirmed by positive platelet-activated anti-platelet factor 4/heparin antibody and a 4Ts score of 6 points. Argatroban was initially used as the purge solution, but owing to complications, a switch to Impella 5.0 and a bicarbonate-based purge solution (BBPS) was performed. Despite additional veno-arterial extracorporeal membrane oxygenation support on day 24, the patient, aiming for ventricular assist device treatment and heart transplantation, died from infection and multiple organ failure. Remarkably, the Impella CP continued functioning normally until the patient’s demise, indicating stable Impella pump performance using BBPS. This case highlights the usefulness of BBPS as an alternative to conventional Impella heparin purge solution when HIT occurs.
Group A Streptococcal meningitis in children: a short case series and systematic review
Authors: Dou Zhen-zhen , Li Wanrong , Hu Hui-Li , Guo Xin , Hu Bing , Chen Tian-ming , Chen He-ying , Guo Ling-yun , Liu Gang 
Published: June 2024

Abstract
Background
Group A streptococcal(GAS) meningitis is a severe disease with a high case fatality rate. In the era of increasing GAS meningitis, our understanding about this disease is limited.

Purpose
To gain a better understanding about GAS meningitis.

Methods
Five new cases with GAS meningitis were reported. GAS meningitis related literatures were searched for systematic review in PUBMED and EMBASE. Case reports and case series on paediatric cases were included. Information on demographics, risk factors, symptoms, treatments, outcomes, and emm types of GAS was summarized.

Results
Totally 263 cases were included. Among 100 individuals, 9.9% (8/81) had prior varicella, 11.1% (9/81) had anatomical factors, and 53.2% (42/79) had extracranial infections. Soft tissue infections were common among infants (10/29, 34.5%), while ear/sinus infections were more prevalent in children ≥ 3 years (21/42, 50.0%). The overall case fatality rate (CFR) was 16.2% (12/74). High risk of death was found in patients with shock or systemic complications, young children(< 3 years) and cases related to hematogenic spread. The predominate cause of death was shock(6/8). Among the 163 patients included in case series studies, ear/sinus infections ranged from 21.4 to 62.5%, while STSS/shock ranged from 12.5 to 35.7%, and the CFR ranged from 5.9 to 42.9%.

Conclusions
A history of varicella, soft tissue infections, parameningeal infections and CSF leaks are important clinical clues to GAS in children with meningitis. Young children and hematogenic spread related cases need to be closely monitored for shock due to the high risk of death.
Impact of interprofessional student led health clinics for patients, students and educators: a scoping review
Authors: Prestes Vargas Janine , Smith Moira , Chipchase Lucy , Morris Meg E. 
Published: June 2024

AbstractBackground: Although interprofessional student led health clinics have been implemented worldwide, the impact of this model await confirmation. Objectives: To conduct a critical analysis of the literature on interprofessional student led clinics, and the views of stakeholders on feasibility and the barriers and facilitators to implementation. Design: A scoping review, evidence synthesis and quality appraisal were conducted using PRISMA Scr. Eight databases were searched from 2003 to 2023: Medline (Ovid), Embase (Ovid), CINAHL (EBSCO), Cochrane, Scopus, ERIC, Web of Science and Informit Health Collection. A qualitative descriptive approach was used to analyse data from patients, students and educators and inductive thematic analysis identified emergent themes. Results: Forty-six studies were included from a yield of 3140 publications. A key theme to emerge was that patients perceived improvements in their health and wellbeing and valued gaining health information from student led clinics. Student experiences were mostly positive although some found it challenging to work in interprofessional teams and roles were not always clear. The clinics enabled students to improve communication skills and autonomy. Clinical educators reported that students benefited from experiential learning within an interprofessional context. The clinics were feasible, provided that sufficient funding, infrastructure, staff and resources were available. Barriers to implementation included lack of funding, excessive waiting times and non-aligned student timetables. Pre-clinic orientation and support from on-site clinical educators facilitated implementation. Conclusions: Despite some challenges with implementing interprofessional student led clinics, they can have a positive impact on student learning and patient experiences.
Dynamic YOLO for small underwater object detection
Authors: Chen Jie , Er Meng Joo 
Published: June 2024

AbstractThe practical application of object detection inevitably encounters challenges posed by small objects. In underwater object detection, a crucial method for marine exploration, the presence of small objects in underwater environments significantly hampers the performance of detection. In this paper, a dynamic YOLO detector is proposed as a solution to alleviate this problem. Specifically, a light-weight backbone network is first constructed based on deformable convolution v3, with some specialized designs for small object detection. Secondly, a unified feature fusion framework based on channel-wise, scale-wise, and spatial-aware attention is proposed to fuse feature maps from different scales. This is particularly critical for detecting small objects since it allows us to fully exploit the enhanced capabilities offered by our proposed backbone network. Finally, a simple but effective detection head is designed to handle the conflict between classification and localization by disentangling and aligning the two tasks. Extensive experiments are conducted on benchmark datasets to demonstrate the effectiveness of the proposed model. Without bells and whistles, dynamic YOLO outperforms the recent state-of-the-art methods by a large margin of $$+\,0.8$$

+

0.8

AP and $$+\,1.8$$

+

1.8

$$\text {AP}_{S}$$

AP
S

on the DUO dataset. Experimental results on Pascal VOC and MS COCO datasets also demonstrate the superiority of the proposed method. At last, ablation studies are conducted on DUO dataset to validate the effectiveness and efficiency of each design in dynamic YOLO. Source code will be available at https://github.com/chenjie04/Dynamic-YOLO.
It is More Anxiousness than Role-playing: Social Camouflaging Conceptualization Among Adults on the Autism Spectrum Compared to Persons with Social Anxiety Disorder
Authors: Pyszkowska Anna 
Published: June 2024

AbstractPurpose. Autistic individuals consider social camouflaging, e.g., masking autistic traits or social skills compensation, as exhausting and effortful, often leading to diminished well-being or burnout, as well as adaptive for satisfying social interactions. Developing camouflaging may result in isolation, social avoidance, increased self-stigmatization, and misdiagnosis, including social anxiety disorder. The study’s objective was to explore and conceptualize social camouflaging, with a particular focus on social anxiety symptoms, autistic burnout, and public stigma, among autistic individuals, with two comparative samples: with social anxiety disorder (SAD) and dual diagnoses (SAD + ASD). Methods. 254 individuals participated in the study (including 186 females, 148 with ASD diagnosis). CAT-Q, AQ-10, AASPIRE’s Autistic Burnout Scale, LSAS-SR, The Perceived Public Stigma Scale were used. Results. The findings suggest differences in the interrelation dynamics between the samples studied, with autistic burnout and social anxiety symptoms of essential significance in camouflaging strategies, and autistic traits being of secondary importance. Structural equation models showed that the proposed conceptualization, with camouflaging and autistic burnout as the outcome variables, exhibited acceptable fit, implying that this strategy is costly and may result in exhaustion. Conclusion. The total score of camouflaging did not differ between the groups studied, suggesting that a tendency to camouflage is rather transdiagnostic, deriving from anxiousness and negative self-perception, not being autistic per se.
Utilising Behavioural and Sensory Profiles and Associated Perinatal Factors to Identify Meaningful Subgroups in Autism Spectrum Disorder
Authors: Shirley Jane , John James Rufus , Montgomery Alicia , Whitehouse Andrew , Eapen Valsamma 
Published: June 2024

AbstractThe heterogeneity of autism spectrum disorder (ASD) clinically and aetiologically hinders intervention matching and prediction of outcomes. This study investigated if the behavioural, sensory, and perinatal factor profiles of autistic children could be used to identify distinct subgroups. Participants on the autism spectrum aged 2 to 17 years and their families were sourced via the Australian Autism Biobank (AAB). Latent class analysis was used to identify subgroups within this cohort, utilising twenty-six latent variables representing child’s behavioural and sensory features and perinatal factors. Four distinct subgroups within the sample (n = 1168) distinguished by sensory and behavioural autism traits and exposure to perinatal determinants were identified. Class 2 and Class 4, which displayed the greatest behavioural and sensory impairment respectively, were associated with the highest perinatal factor exposure. Class 1, labelled “Most behavioural concerns and moderate sensory and behavioural skills concerns” had mixed exposure to perinatal determinants while Class 3, named “Least sensory and behavioural skills concerns” had the least perinatal determinant exposure, indicating a directly proportional correlation between severity of clinical features and perinatal factor exposure. Additionally, association between specific exposures such as maternal mental illness in Class 1 and significant behavioural concerns was recognised. Identifying distinct subgroups among autistic children can lead to development of targeted interventions and supports. Close monitoring of children exposed to specific perinatal determinants for developmental differences could assist early intervention and supports.
Questioning the Emergence of Time
Authors: Riggs Peter J. 
Published: June 2024

AbstractThe Evolving Block Universe is a model where spacetime continuously emerges leading to a ‘growth’ of spacetime by which there is a passage of time. Its most recent version extends ideas on the passage of time and the various arrows of time (determined by the cosmological evolution of the whole universe). Attention is drawn to some principal problems with this model, especially how the present moment and the passage of time are defined.
Impedimetric monitoring of microRNA-200c-3p using hydroxyapatite nanoparticles modified pencil graphite electrodes
Authors: Congur Gulsah , Erdem Arzum 
Published: June 2024

AbstractIt is important to monitor miRNA-200c-3p as it can potentially serve as an important biomarker for respiratory diseases including COVID-19 and cancer. Despite the importance of microRNA monitoring, there are few previous studies for miRNA-200c-3p monitoring, and the application of hydroxyapatite nanoparticles (HaNP) in miRNA biosensors is quite limited. This study aims to fill this gap by utilizing the advantageous properties of HaNPs to develop a powerful strategy to detect microRNA-200c-3p. First, HaNPs were modified on the surface of pencil graphite electrodes (PGEs). Subsequently, hybridization between a phosphate-labeled miRNA-200c-3p-specific DNA probe and its complementary RNA target was carried out in the solution phase. The DNA-RNA hybrid forms were immobilized on the surface of the HaNP-PGEs and the impedimetric measurements were performed. The changes at the charge transfer resistance value (Rct) were evaluated in terms of the hybridization and optimization of the experimental conditions. The detection limits (DLs) were calculated as 0.12 µg/mL (16.19 nM) in phosphate buffer solution (PBS, pH 7.40) and 0.31 µg/mL (41.82 nM) in synthetic plasma. The selectivity of the developed biosensor was tested against miRNA-200c-5p and miRNA-141-3p. The results promise a significant improvement in public health in terms of a leap forward in the early diagnosis of many serious diseases.
Predicting short-term outcomes in brain-injured patients: a comprehensive approach with transcranial Doppler and intracranial compliance assessment
Authors: Brasil Sérgio , Cardim Danilo , Caldas Juliana , Robba Chiara , Taccone Fabio Silvio , de-Lima-Oliveira Marcelo , Yoshikawa Márcia Harumy , Malbouisson Luiz Marcelo Sá , Paiva Wellingson S. 
Published: June 2024

AbstractNeurocritical patients frequently exhibit abnormalities in cerebral hemodynamics (CH) and/or intracranial compliance (ICC), all of which significantly impact their clinical outcomes. Transcranial Doppler (TCD) and the cranial micro-deformation sensor (B4C) are valuable techniques for assessing CH and ICC, respectively. However, there is a scarcity of data regarding the predictive value of these techniques in determining patient outcomes. We prospectively included neurocritical patients undergoing intracranial pressure (ICP) monitoring within the first 5 days of hospital admission for TCD and B4C assessments. Comprehensive clinical data were collected alongside parameters obtained from TCD (including the estimated ICP [eICP] and estimated cerebral perfusion pressure [eCPP]) and B4C (measured as the P2/P1 ratio). These parameters were evaluated individually as well as in combination. The short-term outcomes (STO) of interest were the therapy intensity levels (TIL) for ICP management recommended by the Seattle International Brain Injury Consensus Conference, as TIL 0 (STO 1), TIL 1–3 (STO 2) and death (STO 3), at the seventh day after last data collection. The dataset was randomly separated in test and training samples, area under the curve (AUC) was used to represent the noninvasive techniques ability on the STO prediction and association with ICP. A total of 98 patients were included, with 67% having experienced severe traumatic brain injury and 15% subarachnoid hemorrhage, whilst the remaining patients had ischemic or hemorrhagic stroke. ICP, P2/P1, and eCPP demonstrated the highest ability to predict early mortality (p = 0.02, p = 0.02, and p = 0.006, respectively). P2/P1 was the only parameter significant for the prediction of STO 1 (p = 0.03). Combining B4C and TCD parameters, the highest AUC was 0.85 to predict death (STO 3), using P2/P1 + eCPP, whereas AUC was 0.72 to identify ICP > 20 mmHg using P2/P1 + eICP. The combined noninvasive neuromonitoring approach using eCPP and P2/P1 ratio demonstrated improved performance in predicting outcomes during the early phase after acute brain injury. The correlation with intracranial hypertension was moderate, by means of eICP and P2/P1 ratio. These results support the need for interpretation of this information in the ICU and warrant further investigations for the definition of therapy strategies using ancillary tests.
Exploring the Nature of Arhopalus ferus (Coleoptera: Cerambycidae: Spondylidinae) Pheromone Attraction
Authors: Kerr Jessica L. , Romo Cecilia M. , O’Connor Brooke , Dickson Georgia , Novoselov Max , Aguilar-Arguello Samuel , Todoroki Christine , Najar-Rodriguez Adriana , Manning Lee-Anne , Twidle Andrew , Barrington Anne , Leclair Gaetan , Mayo Peter , Sweeney Jon 
Published: June 2024

AbstractCerambycid species of the Spondylidinae subfamily are distributed worldwide and are known for being prolific invaders that infest conifers. In New Zealand, Arhopalus ferus (Mulsant), the burnt pine longhorn beetle, is well-established and requires monitoring at high-risk sites such as ports, airports, and sawmills as part of the requirements to meet pine log export standards set by the New Zealand Ministry of Primary Industries (MPI). Currently, its surveillance relies on traps baited with host volatiles (i.e., ethanol and α-pinene). We used volatile collections from adult beetles, electroantennograms, and field trapping bioassays to identify the pheromones emitted by the burnt pine longhorn beetle A. ferus and their effects on its behaviour. We show that A. ferus males emit mainly (E)-fuscumol and geranylacetone, as well as the minor components, α-terpinene and p-mentha-1,3,8-triene, and that all four compounds elicit a dose-dependent response in antennae of both sexes. Traps baited with the binary combination of geranylacetone plus fuscumol captured significantly more female A. ferus than did unbaited traps in two of three field experiments. α-Terpinene did not affect A. ferus trap catches and effects of p-mentha-1,3,8-triene on trap catch were not determined. Our findings provide further evidence of the use of fuscumol and geranylacetone as aggregation-sex pheromones by longhorn beetles in the Spondylidinae subfamily, and suggest that their deployment in survey traps may improve the efficacy of A. ferus monitoring in New Zealand and elsewhere.