bluuebunny/crossref_metadata_2025_split huggingface dataset:
Suicidal wrist bites
Authors: Buschmann Claas 
Published: February 2024

AbstractWrist injuries are not uncommon in forensic routine and are usually found in the context of suicides or as a result of psychiatric illnesses, e.g., borderline disorders. Sharp objects (knives, broken glass, etc.) are usually used. In the case reported here, a paranoid-schizophrenic man not only injured himself with razor blades on both wrists, but he also inflicted extensive wrist bite injuries using his dental prosthesis. In addition to the severance of flexor tendons, venous vessels and the left radial artery were torn with subsequent blood loss. At the time of death, there was also acute exposure to methadone and opiates. Patients suffering from psychotic illnesses have an increased risk of committing spectacular or bizarre suicides.
Bedingungslose Kinder- und Jugendhilfe
Authors: Thalheim Vinzenz 
Published: February 2024

ZusammenfassungDie Kinder- und Jugendhilfe gilt als öffentliche Infrastruktur der Erziehung und Bildung. Einer Inanspruchnahme von Hilfen zur Erziehung im Rahmen der KJH geht die Feststellung eines erzieherischen Bedarfs voraus. Demnach steht häufig eine Defizitdiagnose elterlicher Erziehung und Bildung am Beginn einer Hilfe, mit nicht selten stigmatisierender Wirkung. Der vorliegende Schwerpunkt beschäftigt sich mit den Perspektiven einer „Bedingungslosen Kinder- und Jugendhilfe“, womit nach den Möglichkeiten einer breiten und niedrigschwelligen Zugänglichkeit zu Hilfen zu Erziehung gefragt werden soll, aber die Kinder- und Jugendhilfe auch generell in ihren Strukturen in den Blick genommen wird.
A Practical Inverse Identification of Johnson–Cook Parameters at Intermediate Strain Rates Using Split Hopkinson Pressure Bar Test
Authors: Jeong Yeong-Min , Hong Seojun , Won Jung Yun , Kim Chanyang , Lee Myoung-Gyu 
Published: February 2024

AbstractA practical inverse method based on the hybrid experiment-finite element (FE) simulation is proposed for identifying strain rate sensitivity of a metal covering intermediate to dynamic loading conditions. The methodology uses the dynamic split Hopkinson pressure bar (SHPB) test for measuring mechanical responses at medium strain rates by optimizing temperature increase, non-uniform strain rate distributed in the non-standard notched SHPB specimens. From the standard dynamic SHPB test, the thermal softening index of the Johnson–Cook (JC) model is first determined by fitting the FE simulation to temperature changes in the specimen. The discrepancy between the measured and predicted flow stresses with the conventional JC model can be attributed to the assumption of constant strain rate sensitivity. Therefore, the new approach using the notched SHPB specimens under dynamic loadings is introduced to identify mechanical responses covering a broader range of strain rate. Finally, the strain rate sensitivity parameter in the JC model as a function of strain rate is evaluated through the inverse FE scheme, in which the sigmoidal function is determined to be optimum by predicting the flow stresses under wider range of strain rate, especially in the intermediate range of strain rate. The present study provides a new methodology based on hybrid experiment and numerical simulation to fill the gap in predicting mechanical responses between quasi-static and dynamic tests using commonly available tensile test and SHPB test.
Graphical Abstract
Multiphysics monitoring of cementation operation: implications for wellbore integrity and hydrogeological characterization
Authors: Gholizadeh Doonechaly Nima , Reinicke Andreas , Hertrich Marian , Plenkers Katrin , Obermann Anne , Fischli Frank , Maurer Hansruedi , Wiemer Stefan , Giardini Domenico 
Published: February 2024

AbstractThe application of optical fibers for assessing cemented wellbore’s integrity attracted considerable attention recently, because of low cost, decent temporal/spatial resolution and absence of downhole electronics. This study presents an integrated approach to compare measurements from distributed temperature sensing (DTS), distributed strain sensing (DSS) and fiber Bragg grating (FBG), at different stages of the wellbore cementation at Bedretto Underground Laboratory for Geosciences and Geoenergies. Before the cementation, the measurements from DTS provided information about the hydrogeological settings of the wellbore, including the major flow zones, and presence of a highly conductive hydraulic shortcut to a nearby wellbore. During the cement injection, the temperature sensors (DTS and temperature FBG) clearly detected the evolution of the top of the cement. While the mechanical deformation sensors (DSS and strain FBG) did not provide significant insights during this stage, their role became more pronounced in subsequent phases. Results show that the irregularities on the wall have minor influence on the thermo-mechanical response of the wellbore, both during and after cementation. After cementation, the temperature sensors (DTS and temperature FBG) traced different phases of cement-hardening process, while DSS measurements identified areas of major deformation, primarily in fracture/fault zones. It was also observed that localized elevation of temperature and extensional deformation along the wellbore during the cement-hardening are correlated with the presence of permeable structures, most likely due to continuous supply of water. Results of this study show that monitoring of the cemented wellbores using optical fibers, in particular during cement hardening, not only can be used to efficiently assess the wellbore integrity but also can provide us additional important information about the hydrogeological settings of the target reservoir volume.
Innovation Persistence and Firm Growth: Do They Go Hand in Hand?
Authors: Altuzarra Amaia 
Published: February 2024

Abstract
This study empirically examines the relationship between persistence in innovation and firm growth in Spanish manufacturing firms during the period 2005–2016. We include a number of input and output indicators for innovation persistence (R&D, product and process innovation, and patent filings) and use the changes in firms’ annual sales as a measure of firm growth. Differences in how innovation persistence affects firm growth are also explored for the subsets of small and large firms. We employ conditioned quantile regression (CQR) models to see how innovation persistence affects firms located at different quantiles of the firm growth distribution and unconditional quantile regression (UQR) which allow us to compare similar firms in terms of their propensity to innovate on a persistent basis. Our findings are sensitive to the choice of econometric approach. Overall, results indicate that the type of innovation persistence does influence growth. Persistence in R&D activities does not play any relevant role whereas persistence in innovation outputs (product, process, and patents) is a driver for growth only in firms with medium-to-low sales growth rates.
Seksualiteit en androgeendeprivatietherapie bij de behandeling van prostaatkanker – een narratieve review
Authors: Nicolai Melianthe P. J. 
Published: February 2024

SamenvattingAndrogeendeprivatietherapie (ADT) voor prostaatkanker heeft talrijke schadelijke effecten op het welzijn en het seksuele functioneren van de patiënt. ADT zou samenhangen met verminderde peniele contractiliteit, een slechte respons op behandeling met fosfodiësterase type 5-remmers (PDE5i) en een hoog risico op verlies van seksuele interesse. Toch blijft seksualiteit een cruciaal aspect van de kwaliteit van leven voor veel patiënten en hun partners, zelfs op gevorderde leeftijd en tijdens ADT.De behandeling van ADT-geïnduceerde seksuele disfunctie is lastig in een richtlijn te vatten. De behandeling is afhankelijk van de seksuele functies van de pati﻿ënt vóór de behandeling, de leeftijd, de fysieke en mentale gezondheid en de wensen van zowel de pati﻿ënt als zijn partner.De woorden ‘seks’ en ‘kanker’ roepen sterke emoties op en lijken onverenigbaar. Seks is onlosmakelijk verbonden met leven en voortplanting, terwijl kanker gerelateerd is aan verval en dood. Maar juist voor pa﻿ti﻿ënten die te maken hebben met een levensbedreigende ziekte zoals kanker, zijn partnerrelaties, intimiteit en seksueel contact zeer belangrijk voor de kwaliteit van de resterende jaren. Daarom moet het behoud van openheid, intimiteit en niet-penetratieve seksuele activiteiten altijd worden aangemoedigd om het zelfrespect van de pati﻿ënt en de intimiteit in de relatie te behouden.In de klinische urologische praktijk is het belangrijk om aandacht te besteden aan de impact van ADT op patiënten met prostaatkanker en het persoonlijke leven van hun partner. Toegankelijke ondersteuning moet worden geboden om depressie en relatiecrises te voorkomen. Het initiëren van een dialoog over ‘seks’ tijdens ADT, het normaliseren en benoemen van emoties die verband houden met het verlies van mannelijke kenmerken en seksuele functies zijn cruciale eerste stappen. Het is ook van groot belang om pa﻿ti﻿ënten zorgvuldig te informeren over de verwachte effecten van ADT op de fysieke en mentale aspecten van seksualiteit. De volgende stap bij het bieden van hulp tijdens deze impactvolle behandeling bestaat uit het faciliteren van gemakkelijke toegang tot psychologische ondersteuning door gespecialiseerde verpleegkundigen, urologen/andrologen, seksuologen of psychologen. Ten slotte moet het belang van lichamelijke activiteit tijdens ADT altijd worden benadrukt.Dit artikel bespreekt de gevolgen van ADT op seksuele functies en verkent potentiële therapeutische en ondersteunende behandelopties.
Theranostics in prostaatkanker
Authors: Privé Bastiaan M. , Muselaers Constantijn H. J. , Peters Steffie M. B. , Timmermans Bart , Westdorp Harm , Franken Mira D. , Vis André N. , Janssen Marcel J. R. , Oprea-Lager Daniela E. , Nagarajah James 
Published: February 2024

SamenvattingIn de afgelopen jaren wordt de term ‘theranostics’ steeds vaker gebruikt. Een nieuwe, reeds welbekende,theranostic of radioligand-therapie (RLT) is177Lu-PSMA, waarmee patiënten met gemetastaseerd castratieresistent prostaatcarcinoom (mCRPC) behandeld worden. Het is een radioactief gelabeld medicijn dat intraveneus wordt toegediend, meestal in 4–6 cycli. De bètastraling veroorzaakt celdood van prostaatkankercellen met PSMA-expressie. Het radioactieve gammaverval kan gebruikt worden voor beeldvorming en dosimetrie. Een internationale gerandomiseerde fase III-studie toonde aan dat eindstadiumprostaatkankerpatiënten die177Lu-PSMA-617 krijgen, een overlevingsvoordeel hebben van 4 maanden (15,3 versus 11,3 maanden in de controlearm;p < 0,001). Daarnaast laten diverse onderzoeken zien dat een deel van deze vaak intensief behandelde patiënten beter reageren en een langere overlevingswinst hebben.177Lu-PSMA wordt over het algemeen goed door patiënten verdragen en verbetert de kwaliteit van leven. Er treden met name graad I–II-vermoeidheid (~40 %) en xerostomie (~40 %) op, die veelal van voorbijgaande aard zijn. Graad III–IV hematologische toxiciteit (trombocytopenie, leukopenie) wordt gezien bij ~8 % van de patiënten. Vanwege de effectiviteit en het milde bijwerkingenprofiel heeft de Amerikaanse Food and Drug Administration (FDA) en het Europees Medicijn Agentschap (EMA) het medicijn recentelijk goedgekeurd voor klinisch gebruik. Momenteel wordt onderzocht of het zinvol is om177Lu-PSMA in een eerder stadium in te zetten, al dan niet als combinatiebehandeling.
Downscaling atmospheric emission inventories with “top–down” approach: the support of the literature in choosing proxy variables
Authors: Marinello S. , Piccinini G. , Coruzzolo A. M. , Lolli F. , Gamberini R. 
Published: February 2024

AbstractThe management and improvement of air quality are global challenges aimed at protecting human health and environmental resources. For this purpose, in addition to legislative and scientific indications, numerous tools are available: measurement methods and tools for estimating and forecasting. As a collection of data presenting an emission of a pollutant (to air), emission inventories support the knowledge of sources impacting air quality by estimating atmospheric emissions within a specific (wide or limited) reference area. There are several methodological approaches for their definition, which can be classified into bottom–up or top–down methods. This paper aims to review the methodological approaches described in the literature that apply the top–down approach for the disaggregation of atmospheric emissions with high spatial and temporal resolution. The proxy variables used to apply this approach are identified, as well as the spatial and temporal resolution obtained by the authors. The results show that population density and land use are the most common parameters with respect to most of the emission sources and for numerous atmospheric pollutants. The spatial resolution of the disaggregation described in the literature varies from a few hundred metres to several kilometres, in relation to the territorial extension of the study areas. The results of the review help support the selection of the best and most popular proxy variables used to scale emissions inventories.
How common is otogenic meningitis? A retrospective study in southern Sweden over 18 years
Authors: Bjar Nora , Hermansson Ann , Gisselsson-Solen Marie 
Published: February 2024

Abstract
Background
Bacterial meningitis is a rare, but life-threatening disease, which sometimes occurs as a complication to acute otitis media (AOM). The proportion of meningitis cases originating from AOM is not clear.

Purpose
The aim of this study was to investigate the proportion of meningitis cases caused by AOM, to compare risk factors, bacteriology and outcome between otogenic and non-otogenic meningitis, and to analyse the incidence of bacterial meningitis after the introduction of conjugate pneumococcal vaccines (PCV).

Methods
The medical charts of all patients admitted to hospitals in southern Sweden with bacterial meningitis between 2000 and 2017 were retrieved. Based on otoscopy and/or imaging, the proportion of otogenic meningitis cases was calculated, as were annual incidences.

Results
A total of 216 patients were identified, 25 of whom died. The proportion of otogenic meningitis was 31% but varied from 6% among teenagers to 40% among adults. Before PCV, 23% of all meningitis cases were children < 2 years, compared to 1% post-PCV. The average incidence in the adult population, on the other hand, increased post-PCV, though there were large annual variations. S. pneumoniae was the most commonly identified pathogen in everyone but teenagers, in whom N. meningitidis was predominant.

Conclusion
AOM is an important cause of meningitis in children and adults. Though bacterial meningitis almost disappeared in children < 2 years after the introduction of PCV, the incidence of pneumococcal meningitis in adults seems to have increased.
Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm
Authors: Ay Seha , Cardei Michael , Meyer Anne-Marie , Zhang Wei , Topaloglu Umit 
Published: February 2024

AbstractDeep learning (DL) has gained prominence in healthcare for its ability to facilitate early diagnosis, treatment identification with associated prognosis, and varying patient outcome predictions. However, because of highly variable medical practices and unsystematic data collection approaches, DL can unfortunately exacerbate biases and distort estimates. For example, the presence of sampling bias poses a significant challenge to the efficacy and generalizability of any statistical model. Even with DL approaches, selection bias can lead to inconsistent, suboptimal, or inaccurate model results, especially for underrepresented populations. Therefore, without addressing bias, wider implementation of DL approaches can potentially cause unintended harm. In this paper, we studied a novel method for bias reduction that leverages the frequency domain transformation via the Gerchberg-Saxton and corresponding impact on the outcome from a racio-ethnic bias perspective.
Implementation and Validation of a Numerical Method for Concentrated Suspensions in Large Flows Based on the Particle Diffusion Equation
Authors: Andriulli Raoul , Fadigati Luca , Magnani Mattia , Souhair Nabil , Ponti Fabrizio 
Published: February 2024

AbstractThis work presents the development of an OpenFOAM solver aimed at correctly predicting dynamics of concentrated suspensions when subjected to non-uniform shear flows. The newly implemented solver is able to predict the behavior of a heterogeneous mixture whose characteristics depend on the solid particle local concentration. To simulate such behavior, the conservation equation expressing the time variation of the particle volume fraction has been implemented in OpenFOAM; this was achieved by modifying a pre-existing solver, pimpleFoam, which discretizes the Navier–Stokes system of equation through the PIMPLE algorithm. As a first step, the formulation of the momentum equation has been adapted to correctly solve cases with non-Newtonian fluids. Successively, the Krieger’s correlation has been used to model the viscosity variation in the domain to take in account heterogeneous particle distributions. Finally, the iterative cycle for the solution of the migration equation has been included within the time loop. The above-mentioned code has been successfully validated by comparing the numerical results with the measured data provided by experiments reported in literature.
A heterogeneous 3-D stacked PIM accelerator for GCN-based recommender systems
Authors: Shen Xinyang , Huang Yu , Zheng Long , Liao Xiaofei , Jin Hai 
Published: February 2024

AbstractModern recommendation systems integrate graph convolution neural networks (GCN) for enhancing embedding representation. Compared with widely deployed neural network-based models, the extra message propagation layer of GCN-based recommendation is featured with extensive computations and irregular memory access. However, architecture designs for prevailing deep neural network recommendation models assume simple pooling in the embedding layer. ReRAM-based GCN accelerators are specialized for graph-related operations. However, they are designed for general graphs, while GCN-based recommendation models mainly operate on the user-item graph. In this paper, we proposed a resistive random accessed memory (ReRAM) based processing-in-memory (PIM) accelerator, ReGCNR, for GCN-based recommendation. ReGCNR is featured with three key innovations. First, we exploit the 3-dimensional (3-D) stacked heterogeneous ReRAM to fit with the large-size embedding table and user-item graph. Then, we propose a joint degree mapping schema that maximizes the efficiency of the execution pipeline. After that, ReGCNR assembles a well-coordinated pipeline and hardware scheduling design to boost overall system performance. Results show that ReGCNR outperforms GPU by 69.83$$\times$$
×
and 56.67$$\times$$
×
in terms of average speedup and energy saving, respectively. In addition, ReGCNR outperforms state-of-the-art ReRAM-based solutions by 11.13$$\times$$
×
speedups and 7.22$$\times$$
×
energy savings on average.
Properties of fiber incorporated concrete blocks manufactured using recycled aggregates
Authors: Prashanth Kumar , Lohith N. R. , M Vikas , Basutkar S. M. 
Published: February 2024

AbstractThe construction and demolition industry generates a significant quantity of concrete waste, presenting an environmental challenge. The concrete waste generated can be processed to produce Recycled Aggregates (RA) of various sizes. Utilization of Recycled Aggregates (RA) as a substitute to conventional aggregates in concrete has captured considerable attention in the past few years, owing to its promising environmental and economic advantages. However, the combined utilization of recycled fine and coarse aggregate in the production of concrete for low-strength application has not been adequately explored. In this article, an attempt is made to investigate the characteristics of concrete blocks made with RA and polypropylene fiber (PF) are investigated for different cement content. Cement and PF content varied from 8 to 12% and 0% to 2% respectively in production of concrete blocks using Recycled Fine Aggregates (RFA) and Recycled Coarse Aggregates (RCA) at different replacement intervals. Water absorption of blocks manufactured across all replacement intervals of RA was less than 10%. Blocks containing 75% RFA and 25% RCA resulted in improved compressive strength of the order more than 3.8 MPa. Rate of improvement in compressive strength of block was 11% to 20% and 6.5% to 8.2% when the fiber dosage was increased from 0.5% to 1% and 1% to 2% respectively. The optimal fiber dosage was found to be 1%, beyond which no notable improvement in mechanical properties of blocks was observed. Use of RA in concrete blocks reduced embodied energy by 19% to 24% for varying cement content from 8 – 12%. Cost of blocks was found to be reduced by 10 – 15% when made with PF dosage of 0 to 2% with 8% cement content.
Impacts of ammoniacal odour removal bioagent on air bacterial community
Authors: Zhang Hetian , Hu Jin , Peng Xing , Zhou Lei , Zhang Teng , Zhang Yanfang , Yin Huaqun , Meng Delong 
Published: February 2024

AbstractWhile biotechnologies offer eco-friendly solutions for eliminating air contaminants, there is a scarcity of research examining the impacts of microbial purification of air pollutants on the structure and function of air microbial communities. In this study, we explored a Lactobacillus paracasei B1 (LAB) agent for removing ammoniacal odour. The impacts of LAB on air bacterial community were revealed. by analyzing the air samples before (BT) and after (AT) LAB bioagent treatment. Remarkably, the LAB bioagent significantly reduced the air ammonia concentration by 96.8%. This reduction was associated with a notable decline in bacterial diversity and a significant shift in community composition. The relative abundance of Staphylococcus, a common pathogen, plummeted from 1.91% to 0.03%. Moreover, other potential pathogens decreased by over 87%, signifying the bioagent's impactful role in diminishing health risks. The dominance of OTU-4 (Lactobacillus) highlighted its crucial role not only in competitive interactions but also potentially in shaping the metabolic pathways or community dynamics within the treated air microbial ecosystem. This shift towards deterministic assembly processes post-treatment, as highlighted by the normalized stochasticity ratio (NST), sheds light on the underlying mechanisms dictating the microbial community's response to bioagent interventions. The bioagent-purified air microbial community showed a strong preference for variable selection (88.9%), likely due to the acidity generated by the LAB. In conclusion, our findings emphasized the positive impact of LAB bioagent in enhancing air quality, which associated with the changes in microbial community.