bluuebunny/crossref_metadata_2025_split huggingface dataset:
Konzeptabhängige und -unabhängige Versorgungseffekte standortspezifischer palliativer Versorgungskonzepte am Beispiel „Schmerz“
Authors: Peuten Sarah , Jaspers Birgit , Hainsch-Müller Irmtraud , Aulmann Christoph , Schneider Werner , Radbruch Lukas , Ateş Gülay 
Published: September 2023

Zusammenfassung
Hintergrund
An zwei Standorten wurden die palliativen Versorgungsstrukturen, sektorenübergreifenden Übergänge und Verlaufswege von Patienten mit einem palliativen Versorgungsbedarf untersucht. Der systematische Vergleich von Gemeinsamkeiten und Unterschieden anhand der exemplarischen Fokussierung auf den Themenkomplex „Schmerz“ soll Auskunft darüber geben, inwiefern diese mit standortspezifischen Palliativversorgungskonzepten (integriert und kooperativ) zusammenhängen.

Methodik
Die Studie verfolgt ein Mixed-methods-Design. Neben einer Dokumentenanalyse von anonymisierten Patientenakten (n = 774) wurden Experteninterviews (n = 20), Interviews mit Patienten und Angehörigen (n = 60) sowie Fokusgruppen (n = 12) durchgeführt.

Ergebnisse
Die systematische vergleichende Analyse liefert Hinweise auf konzeptunabhängige Gemeinsamkeiten (z. B. soziodemografische Verteilungen, erschwerte medikamentöse Schmerzbehandlung aufgrund rechtlicher Rahmenbedingungen) wie auch konzeptabhängige Unterschiede (z. B. Verlaufswege, erleichterte kontinuierliche Symptomkontrolle durch integrierte Versorgungsstrukturen) im Rahmen integrierter oder kooperativer Palliativversorgung.

Diskussion
Gemeinsamkeiten und Unterschiede hinsichtlich der hier fokussierten Schmerzthematik bzw. der im Raum stehenden Symptomlast und ihre organisatorische Bearbeitung werden als Effekte der jeweiligen Organisationsstruktur (= konzeptabgängig) sowie konzeptunabhängiger äußerer Einflussfaktoren greifbar.
Prediction of service time for home delivery services using machine learning
Authors: Wolter Jan , Hanne Thomas 
Published: September 2023

AbstractWith the rise of ready-to-assemble furniture, driven by international giants like IKEA, assembly services were increasingly offered by the same retailers. When planning orders with assembly services, the estimation of the service time leads to additional difficulties compared to standard delivery planning. Assembling large wardrobes or kitchens can take hours or even days while assembling a chair can be done in a few minutes. Combined with the usually vast amounts of offered products, a lot of knowledge is required to plan efficient and exact delivery routes. This paper shows how an artificial neural network (ANN) can be used to accurately predict the service time of a delivery based on factors such as the goods to be delivered or the personnel providing the service. The data used include not only deliveries with assembly of furniture, but also deliveries of goods without assembly and delivery of goods requiring electrical installation. The goal is to create a solution that can predict the time needed based on criteria such the type of furniture, the weight of the goods, and the experiences of the service technicians. The findings show that ANNs can be applied to this scenario and outperform more classical approaches, such as multiple linear regression or support vector machines. Still existing problems are largely due to the provided data, e.g., a large difference between the number of short and longer duration orders, which made it harder to accurately predict orders with longer duration.
ELIMINATE: a PCR record-based macroelimination project for systematic recall of HCV-RNA-positive persons in Austria
Authors: Schwarz Caroline , Bauer David , Dorn Livia , Jachs Mathias , Hartl Lukas , Chromy David , Weseslindtner Lukas , Pfisterer Nikolaus , Hennlich Barbara , Stückler Annika , Strassl Robert , Voill-Glaninger Astrid , Hübl Wolfgang , Willheim Martin , Köhrer Karin , Jansen-Skoupy Sonja , Tomez Sabine , Krugluger Walter , Madl Christian , Schwarz Michael , Balcar Lorenz , Semmler Georg , Brinkmann Leonard , Burghart Lukas , Antonitsch Lukas , Weidinger Gerhard , Riedl Florian , Laferl Hermann , Kurteva Vesselina , Traugott Marianna , Hind Julian , Wenisch Christoph , Aburaia Abdelrahman , Sebesta Christian , Schmid Daniela , Rothweiler Sonja , Remetic Jelena , Gschwantler Michael , Maieron Andreas , Reiberger Thomas 
Published: September 2023

Summary
Background and aims
Micro-elimination projects targeted to specific hepatitis C virus (HCV) risk populations have been successful. Systematic identification of persons with HCV viremia, regardless of risk group, based on already available laboratory records may represent an effective macroelimination approach to achieve global HCV elimination.

Methods
Persons with a last positive HCV-RNA PCR result between 2008–2020 in the reference virology laboratories in eastern Austria were identified. First, (i) we described their demographic characteristics, (ii) we systematically recalled persons to the respective centers and (iii) started antiviral treatment if HCV-RNA viremia was confirmed, and (iv) recorded sustained virologic response (SVR). This interim report includes the preliminary results from 8 participating centers.

Results
During the study period 22,682 persons underwent HCV-RNA PCR testing, 11,216 (49.4%) were positive at any point in time, and 6006 (26.5%) showed detectable HCV-RNA at the last PCR test, suggesting ongoing HCV viremia.
At the time of this interim report, 2546/6006 HCV-RNA PCR(+) persons were evaluated: 443/2546 (17.4%) had died, 852/2546 (33.5%) had invalid contact data, and 547/2546 (21.5%) had achieved SVR between data retrieval and recall. Contact could be established in 236/704 (33.5%) of the remaining target population with 97/236 (41.1%) presenting at the clinic for treatment evaluation. Ultimately, 71/236 (30.1%) started antiviral treatment and SVR was documented in 47/71 (66.2%).

Conclusion
This ELIMINATE project based on systematic assessment of HCV-RNA PCR-records, identified 6006 persons with potential persisting HCV viremia. Invalid contact data and missed visits for treatment evaluation were the main barriers towards HCV elimination within this project. Importantly, many subjects with HCV viremia lost to follow-up were successfully linked to care and started antiviral treatment.
A non-restrictive approach of gear geometry calculation for plastic gears
Authors: Eigner Florian , Oberle Stephan , Berger Maik 
Published: September 2023

AbstractFor the unrestricted calculation of gearboxes with a constant transmission ratio, a parameter radius ratio is developed. For this purpose, a parameter radius ratio is introduced that has a piecewise continuous and differentiable domain of definition. Thus, the parameter can be used efficiently in the algorithmic implementation for the optimisation of a contact point of two gears. Furthermore, the data processing of the surface intersection is shown. Through direct surface conjugation, two paired gears can always achieve a line contact, therefore an optimal power transmission can be achieved regarding the technical properties. The procedure is demonstrated with a practical example of a planetary gear with skewed planet.
Simulation of the occipital transtentorial approach incorporating visualization of the cerebellar tentorium using three-dimensional computed tomography angiography and gadolinium-enhanced T1-weighted magnetic resonance imaging: technical note
Authors: Shingai Yuto , Kanamori Masayuki , Shimoda Yoshiteru , Kayano Shingo , Nemoto Hitoshi , Mugikura Shunji , Saito Ryuta , Tominaga Teiji 
Published: September 2023

AbstractThe occipital transtentorial approach (OTA) is one of the useful approaches to the lesions of the pineal region, dorsal brainstem, and supracerebellar region. However, a wide operative field is sometimes difficult to obtain due to the tentorial sinus and bridging veins. This study evaluated the usefulness of preoperative simulation of OTA, specifically including the cerebellar tentorium in 9 patients. All patients underwent computed tomography angiography and venography and gadolinium-enhanced three-dimensional T1-weighted magnetic resonance images (Gd-3D-T1WI). The images were fused, and the cerebellar tentorium, vessels, and tumor were manually extracted from Gd-3D-T1WI to obtain the simulation images. Visualization of the cerebellar tentorium could discriminate between bridging veins from the occipital lobe and cerebellum, and recognize the site of bridging to the tentorial sinus and variants which may interfere with the tentorial incision. Simulation of the tentorial incision was also possible based on the relationships between the tumor, tentorial sinus, bridging vein, and cerebellar tentorium. The simulation suggested that safe tentorial incision was difficult in two sides because of the crossed tentorial sinus draining the left basal vein and draining veins from the glioblastoma. The OTA was performed in eight cases, and no difficulty was experienced in the tentorial incision in all cases. The simulation findings of the bridging vein and tentorial sinus were consistent with the intraoperative findings. Preoperative simulation including the cerebellar tentorium is useful for determining the optimum and safe side and required extent of the tentorial incision necessary for tumor resection with the OTA.
Fault localization in DSLTrans model transformations by combining symbolic execution and spectrum-based analysis
Authors: Oakes Bentley James , Troya Javier , Galasso Jessie , Wimmer Manuel 
Published: September 2023

AbstractThe verification of model transformations is important for realizing robust model-driven engineering technologies and quality-assured automation. Many approaches for checking properties of model transformations have been proposed. Most of them have focused on the effective and efficient detection of property violations by contract checking. However, there remains the fault localization step between identifying a failing contract for a transformation based on verification feedback and precisely identifying the faulty rules. While there exist fault localization approaches in the model transformation verification literature, these require the creation and maintenance of test cases, which imposes an additional burden on the developer. In this paper, we combine transformation verification based on symbolic execution with spectrum-based fault localization techniques for identifying the faulty rules in DSLTrans model transformations. This fault localization approach operates on the path condition output of symbolic transformation checkers instead of requiring a set of test input models. In particular, we introduce a workflow for running the symbolic execution of a model transformation, evaluating the defined contracts for satisfaction, and computing different measures for tracking the faulty rules. We evaluate the effectiveness of spectrum-based analysis techniques for tracking faulty rules and compare our approach to previous works. We evaluate our technique by introducing known mutations into five model transformations. Our results show that the best spectrum-based analysis techniques allow for effective fault localization, showing an average EXAM score below 0.30 (less than 30% of the transformation needs to be inspected). These techniques are also able to locate the faulty rule in the top-three ranked rules in 70% of all cases. The impact of the model transformation, the type of mutation and the type of contract on the results is discussed. Finally, we also investigate the cases where the technique does not work properly, including discussion of a potential pre-check to estimate the prospects of the technique for a certain transformation.
A universal size classification system for landslides
Authors: McColl S. T. , Cook S. J. 
Published: September 2023

AbstractSize is a fundamental property of landslides, but it is described inconsistently within the scientific literature. There is currently no widely adopted size classification system applicable to all landslide types. A Scopus database search shows the most used landslide size descriptor is the term large, used to refer to landslides with volumes spanning ten orders of magnitude. Some size descriptors are unintuitive or potentially misleading (e.g. the term massive which describes a material property). We argue that a formal size classification scheme would encourage more consistent and logical usage of size descriptors and improve landslide science communication. To that end, we propose a size classification scheme suitable for all landslide types. The scheme provides a log scale of size classes for volume and area, with base units of cubic metre and square metre, respectively. In theory, there is no limit to the number of size classes possible. Six size descriptors are suggested, each spanning 3 orders of magnitude: very small (10−3–100 m3), small (10–103 m3), medium (103–106 m3), large (106–109 m3), giant (109–1012 m3), and monster (1012–1015 m3). Our system does not replace existing (or preclude future) classification systems for specific landslide types (e.g. snow avalanche) that use numerical size classes, and it maintains consistency with some commonly used descriptors. Whatever system is used, we encourage people to define the terms they use and to quantify size where possible, so that clearer meaning is given to the words used to describe landslide sizes.
A natural history study of autosomal dominant GUCY2D-associated cone–rod dystrophy
Authors: Scopelliti Amanda J. , Jamieson Robyn V. , Barnes Elizabeth H. , Nash Benjamin , Rajagopalan Sulekha , Cornish Elisa L. , Grigg John R. 
Published: September 2023

Abstract
Purpose
To describe the natural history of autosomal dominant (AD) GUCY2D-associated cone–rod dystrophies (CRDs), and evaluate associated structural and functional biomarkers.

Methods
Retrospective analysis was conducted on 16 patients with AD GUCY2D-CRDs across two sites. Assessments included central macular thickness (CMT) and length of disruption to the ellipsoid zone (EZ) via optical coherence tomography (OCT), electroretinography (ERG) parameters, best corrected visual acuity (BCVA), and fundus autofluorescence (FAF).

Results
At first visit, with a mean age of 30 years (range 5–70 years), 12 patients had a BCVA below Australian driving standard (LogMAR ≥ 0.3 bilaterally), and 1 patient was legally blind (LogMAR ≥ 1). Longitudinal analysis demonstrated a deterioration of LogMAR by − 0.019 per year (p < 0.001). This accompanied a reduction in CMT of − 1.4 µm per year (p < 0.0001), lengthened EZ disruption by 42 µm per year (p =  < 0.0001) and increased area of FAF by 0.05 mm2 per year (p = 0.027). Similarly, cone function decreased with increasing age, as demonstrated by decreasing b-wave amplitude of the light-adapted 30 Hz flicker and fused flicker (p = 0.005 and p = 0.018, respectively). Reduction in CMT and increased EZ disruption on OCT were associated with functional changes including poorer BCVA and decreased cone function on ERG.

Conclusion
We have described the natural long-term decline in vision and cone function associated with mutations in GUCY2D and identified a set of functional and structural biomarkers that may be useful as outcome parameters for future therapeutic clinical trials.
Determinants of Understanding of Labor Laws: Evidence from Japanese University Students
Authors: Hirao Tomotaka 
Published: September 2023

AbstractThis study investigates Japanese university students’ knowledge of labor laws using test theory and analyzes the determinants of understanding of labor laws. The college enrollment rate in recent years in Japan is over 50% of secondary education graduates, and as a result, college graduates are no longer considered elite employees. Rather, almost all graduates are merely ordinary workers. For that reason, students need to learn about their employment rights before obtaining initial employment to protect themselves and their future careers. However, there are few studies regarding Japanese university students’ knowledge of labor laws. This study, therefore, investigates their labor laws knowledge based on latent rank theory and analyzes the determinants by econometric analysis. Empirical results show that the average of correctly answered questions regarding Japanese labor laws is about 50%. I can view this record as not being positive because subjects start their job-hunting process with less than an ideal amount of legal knowledge. This research also confirms that there are positive correlations between some independent variables (for example, field of study, the number of credits regarding career education, experience with exploitive labor, and the number of friends who are older than a given subject) and the rank of labor law knowledge. This implies that education and experience regarding career development while enrolled in university correlates with better understanding of labor laws.
Green Function for an Asymptotically Stable Random Walk in a Half Space
Authors: Denisov Denis , Wachtel Vitali 
Published: September 2023

AbstractWe consider an asymptotically stable multidimensional random walk $$S(n)=(S_1(n),\ldots , S_d(n) )$$

S

(
n
)

=
(

S
1

(
n
)

,
…
,

S
d

(
n
)

)

. For every vector $$x=(x_1\ldots ,x_d)$$

x
=
(

x
1

…
,

x
d

)

with $$x_1\ge 0$$

x
1

≥
0

, let $$\tau _x:=\min \{n>0: x_{1}+S_1(n)\le 0\}$$

τ
x

:
=
min

{
n
>
0
:

x
1

+

S
1

(
n
)

≤
0
}

be the first time the random walk $$x+S(n)$$

x
+
S
(
n
)

leaves the upper half space. We obtain the asymptotics of $$p_n(x,y):= {\textbf{P}}(x+S(n) \in y+\Delta , \tau _x>n)$$

p
n

(
x
,
y
)

:
=
P

(
x
+
S

(
n
)

∈
y
+
Δ
,

τ
x

>
n
)

as n tends to infinity, where $$\Delta $$
Δ
is a fixed cube. From that, we obtain the local asymptotics for the Green function $$G(x,y):=\sum _n p_n(x,y)$$

G

(
x
,
y
)

:
=

∑
n

p
n

(
x
,
y
)

, as $$|y |$$

|
y
|

and/or $$|x |$$

|
x
|

tend to infinity.
Rural–nonrural divide in car access and unmet travel need in the United States
Authors: Wang Weijing , Espeland Sierra , Barajas Jesus M. , Rowangould Dana 
Published: September 2023

AbstractCar access is practically a necessity to get around in rural areas of the United States. Yet approximately 4% of rural residents or 4.3 million people do not have a car. Despite important rural–nonrural differences in the built environment and how people travel, research on rural mobility disparities by car access is limited. This paper addresses this gap by asking and answering the following questions: (1) What are the scope and scale of rural car access in the U.S. and what are the factors associated with not having a car? (2) How do rural carless residents get around relative to their nonrural peers? (3) What are the consequences of not having car access in rural areas? We used a dichotomous rural–nonrural classification to evaluate differences in car access and mobility outcomes between rural and nonrural areas using the U.S. Census Bureau Public Use Microdata Sample and the National Household Travel Survey. The results reveal new evidence on socioeconomic and mobility disparities by car access within and between rural and nonrural areas. Rural carless households earn 64% less and 40% less than their counterparts with full car access and their nonrural counterparts, respectively. Rural Native Americans, Black, and Asian populations have a 2.1 times, 1.3 times, and 1.3 times the odds of being carless, respectively, than their rural white peers, after controlling for other factors. Despite their lack of access to a car, a significantly smaller proportion of rural carless residents bike, walk, or take transit for work trips than their nonrural peers (38.9% vs. 74.6%), which may indicate infeasibility of sustainable modes in some rural areas. Consequently, rural carless residents are 2 times more likely to forsake trips than their nonrural peers due to a lack of transportation options. Our findings highlight rural mobility inequities that carless people face relative to their nonrural peers, which merit attention and tailored policy interventions to improve rural mobility, sustainability, accessibility, and equity.
Antibiotic resistances from slaughterhouse effluents and enhanced antimicrobial blue light technology for wastewater decontamionation
Authors: Cong Xiaoyu , Krolla Peter , Khan Umer Zeb , Savin Mykhailo , Schwartz Thomas 
Published: September 2023

Abstract
The frequencies of 6 different facultative pathogenic bacteria of the ESKAPE group (priority list WHO) and a total of 14 antibiotic resistance genes (ARGs) with different priorities for human medicine were quantified in wastewaters of poultry and pig slaughterhouses using molecular biological approaches. Raw sewage from poultry and pig slaughterhouses was found to be contaminated not only with facultative pathogenic bacteria but also with various categories of clinically relevant ARGs, including ARGs against the reserve antibiotics group. The concentration of the different gene targets decreased after on-site conventional biological or advanced oxidative wastewater treatments, but was not eliminated. Hence, the antimicrobial BlueLight (aBL) in combination with a porphyrin photo-sensitizer was studied with ESKAPE bacteria and real slaughterhouse wastewaters. The applied broad LED-based blue light (420–480 nm) resulted in groups of sensitive, intermediate, and non-sensitive ESKAPE bacteria. The killing effect of aBL was increased in the non-sensitive bacteria Klebsiella pneumoniae and Enterococcus faecium due to the addition of porphyrins in concentrations of 10−6 M. Diluted slaughterhouse raw wastewater was treated with broad spectrum aBL and in combination with porphyrin. Here, the presence of the photo-sensitizer enhanced the aBL biocidal impact.
Highly Selective Chemiresistive SO2 Sensor Based on a Reduced Graphene Oxide/Porphyrin (rGO/TAPP) Composite
Authors: Khune Abhaysinh S. , Padghan Vikky , Bongane Rameshwar , Narwade Vijaykiran N. , Dole B. N. , Ingle Nikesh N. , Tsai Meng-Lin , Hianik Tibor , Shirsat Mahendra D. 
Published: September 2023

AbstractThe emergence of toxic pollutants due to heavy human intervention in the ecosystem causes serious environmental problems. Therefore, sensors based on material having a strong affinity towards specific environmental gaseous pollutants are urgently needed. The present study deals with chemiresistive gas sensors for the detection of sulfur dioxide (SO2) based on a composite of reduced graphene oxide (rGO) and 5,10,15,20-tetrakis(4-aminophenyl) porphyrin (TAPP). The improved Hummers method was used to synthesize graphene oxide (GO); it was further thermally reduced to rGO. The pattern of the copper electrode was coated on glass slides with a shadow mask using thermal evaporation. Then, GO was drop-cast between the two copper electrodes, thermally reduced to obtain rGO, and then modified by TAPP. The spectroscopic, structural, morphological, electrical, and optical studies were carried out using Fourier transform infrared spectroscopy, x-ray diffraction, Raman spectroscopy, atomic force microscopy, field emission scanning electron microscopy, current–voltage (I–V) and UV–visible spectroscopy, respectively. The developed sensor shows high selectivity towards SO2 gas analytes among exposed gaseous analytes. It exhibited reproducible response from 50 ppm to 200 ppm with enhanced repeatability at 50 ppm. The rGO/TAPP sensor exhibited a significant response (57 s) and recovery time (61 s), with a 5 ppm limit of detection.
Graphical Abstract