bluuebunny/crossref_metadata_2025_split huggingface dataset:
IMPLEMENT – Ein Modellprojekt zur sektorenübergreifenden
Implementierung einer flächendeckenden und qualitätsgesicherten Sport- und
Bewegungstherapie bei Krebs
Authors: Reitz Melanie , Berling-Ernst Anika , Schminke Theresia , Brandes Mirko , Meurer Janina , Fuhr Daniela , Tramm Irina , Gadczikowkse Yvonne , Welker Christine , Baurecht Hansjörg , Morlok Dominik , Rüter Jana , Herrmann-Johns Anne , Jensen Wiebke , Bokemeyer Carsten , Schmidt Thorsten , Köser Antonia , Golla André , Schmidt Heike , Jahn Patrick , Zimmer Rebecca , Götte Miriam , Theurich Sebastian , Wehner Annalena , Madl Bernardine , Halle Martin , Hegenberg Kathrin , Laxy Michael , Leitzmann Michael , Zeeb Hajo , Baumann Freerk T. 
Published: April 2024

ZusammenfassungEine qualitätsgesicherte onkologische Sport- und Bewegungstherapie (qSBT) ist,
trotz der nachweislich positiven Effekte auf die Nebenwirkungen einer
Krebstherapie und auf die Lebensqualität, noch kein Bestandteil der derzeitigen
Regelversorgung von onkologischen Patient*innen. Aus diesem Grund werden im
Rahmen des multizentrischen IMPLEMENT Projektes Strategien entwickelt und
geprüft, um die Zugangsstrukturen zu einer qSBT nachhaltig zu verbessern.Zu Beginn des IMPLEMENT Projektes werden Barrieren und Förderfaktoren für eine
effektive Implementierung einer qSBT mithilfe eines Mixed-Methods-Designs
ermittelt. Im darauffolgenden Schritt werden Implementationsstrategien in fünf
Teilprojekten für spezifische Zielgruppen (Erwachsene oder pädiatrische
Patient*innen) und Regionen (städtisch vs. ländlich) entwickelt und umgesetzt.
Die Evaluierung (nach drei Jahren) und die Zwischenevaluierungen (jährlich)
orientieren sich an dem RE-AIM-Framework und werden von Fragebögen,
semi-strukturierten Interviews und Fokusgruppen ergänzt. Die Erkenntnisse aus
den Zwischenevaluierungen werden genutzt, um die Implementierungsstrategien der
einzelnen Teilprojekte zu überarbeiten und zu verbessern.Das primäre Ziel von IMPLEMENT ist es, die Anzahl der onkologischen
Patient*innen, die an einer qSBT teilnehmen, zu erhöhen (Median 30%). Die
sekundären Ziele umfassen unter anderem die Erweiterung des qSBT Angebots sowie
die Zunahme an onkologischen Patient*innen, die von einer gesteigerten
Lebensqualität berichten (patientenbezogene Effektivität). Die Zielparameter
werden mittels eines Vorher-Nachher-Designs erfasst.Bei jeder Gruppe der Akteure (z. B. Ärzte/Ärztinnen, medizinisches Fachpersonal,
Sport- und Physiotherapeut*innen) und onkologischen Patient*innen in den
verschiedenen Settings müssen spezifische Barrieren und Förderfaktoren bei der
Implementierung von qSBT berücksichtigt werden. Bestimmte
Implementierungsstrategien können potenziell dazu beitragen, die identifizierten
Barrieren zu überwinden und Förderfaktoren zu unterstützen. Somit könnten
nachhaltige Zugangsstrukturen zu einer qSBT in Deutschland geschaffen
werden.Der Einsatz von effektiven Implementierungsstrategien kann für die
flächendeckende Etablierung von qSBT in Deutschland förderlich sein und könnte
ein zentraler Bestandteil für die Implementierung von qSBT in die
Regelversorgung von onkologischen Patient*innen darstellen.
Clinical Outcomes in Chronic Conditions: Findings from a Homeopathy Teaching Clinic using the MYCaW Instrument
Authors: Gray Alastair C. , Luketic Christine D. , Pracjek Parker , Straiges Denise 
Published: April 2024

Abstract
Background The Academy of Homeopathy Education is a US-based accredited teaching institution offering homeopathy education services to professional and medically licensed homeopathy students. This study reports on clinical outcomes from the teaching clinic from 2020 to 2021.
Methods Data collected using the patient-generated outcome measure, the Measure Yourself Concerns and Wellbeing (MYCaW), were anonymized. Mean MYCaW values for initial and subsequent consultations were analyzed for the degree of change across the intervention period in 38 clients. Each client listed up to two complaints. MYCaW scores between initial and subsequent consultations were analyzed for the degree of change (delta) across the intervention period.
Results A total of 95 body system-related symptoms were analyzed for change in intensity following the homeopathic intervention. Statistically significant improvements in the intensity of main symptoms were observed between initial and subsequent follow-ups. The main symptom scores showed a mean change in intensity (delta MYCaW) of −0.79 points (95% confidence interval (CI), −1.29 to −0.29; p = 0.003) at first follow-up, a mean change of −1.67 points (95% CI, −2.34 to −0.99; p = 0.001) at second follow-up compared with the initial visit, and a mean change of −1.93 points (95% CI, −3.0 to −0.86; p = 0.008) at third follow-up compared with the initial visit. For clients with four or more follow-ups, the mean delta MYCaW was −1.57 points (95% CI, −2.86 to −0.28; p = 0.039).
Conclusion Statistically significant improvements as well as some clinically meaningful changes in symptom intensity were found across a diverse group of individuals with a variety of long-term chronic conditions. The improvement was evident across different body systems and different levels of chronicity. There are limitations to the generalizability of the study due to the research design. Further research and investigation are warranted given the promising results of this work.
Reading and Writing Impairment in Persons with Crossed Aphasia: A Comparative Study
Authors: Swamy Akshaya , Puttanna Deepak , Channabasavegowda Yashaswini 
Published: April 2024

Abstract
Background Persons with aphasia (PWAs) manifest multifaceted deficits like auditory comprehension, spoken language, reading, and writing to varying degrees. Of these, the most debilitating signs are reading and writing impairment. Of late, PWAs express greater interest to improve their reading and writing skills. The deficits in these skills along with deficits in spoken language limit their participation in the community. Reading and writing may be altered contrarily in various stroke conditions across the left and right hemisphere lesions, just like how linguistic impairments are mutually exclusive. Thus, it must be rational to reconcile the possible role of the right hemisphere to process reading and writing inversely alike spoken abilities. Additionally, investigations on reading and writing deficits in left cerebrovascular atrophy (CVA) aphasics and right CVA aphasics (crossed aphasia) are seldom reported in the literature with relevance to Indian population focusing Indian languages. The study aims to compare reading and writing abilities across PWAs with left CVA and right CVA (crossed aphasia).
Methodology The study recruited four native Kannada speaking PWAs (6 months poststroke) aged between 40 and 70 years with impaired linguistic abilities secondary to stroke through convenient sampling. Western Aphasia Battery-Kannada was administered to identify aphasic component, specifically to evaluate the language, reading, and writing aspects in detail and the scores were analyzed based on the scoring.
Results Descriptive statistics revealed both left and crossed PWAs performed equipotent on linguistics tasks. However, reading abilities were better in left CVA individuals and writing was better in crossed PWAs on comparing the mean scores. Correlation analysis revealed positive correlation between language and reading-writing abilities of left CVA PWAs. Negative correlation was evinced in crossed PWAs. Hence, reading and writing difficulties in crossed aphasia can be mostly ascribed to impairment in peripheral mechanisms involved in visual and/or kinesthetic information processing as the right hemisphere is most viable to these processes.
Conclusion The study highlights the unique pattern of reading and writing abilities in crossed aphasia condition. However, careful examination of dissociations in acquired spoken language and written language abilities across differential neuronal networks through larger samples in the future research is warranted.
Prevalence and Incidence of Intentional and Unintentional Poisoning in a Tertiary Care Hospital, Erode, India
Authors: Narayanan Lokesh , Kaliyaperumal Kamesh , Ramalingam Kameswaran , Balasubramanian Rajkapoor 
Published: April 2024

AbstractPoisoning is a significant burden in developing countries, with high fatality rates due to deliberate self-harm and unintentional exposures. This study aimed to raise awareness and provide guidance on poison consumption in a tertiary care hospital in Erode. A cross-sectional study over 6 months involved 377 poisoning cases. Females aged 21 to 30 years, semi-urban residents, and illiterate individuals were found to be the vulnerable groups. Rat killers and tablets were common poisoning agents, often linked to family problems. Comprehensive approaches, addressing mental health, family support, and health care access, are needed. Raising awareness, counseling, and educating high-risk individuals are essential preventive measures. Interventions enhanced poisoning management knowledge and coping strategies, emphasizing the importance of integrated efforts to combat poisoning's socioeconomic impact.
Classification of laser beam profiles using machine learning at the ELI-NP high power laser system
Authors: Gaciu V. , Dăncuş I. , Diaconescu B. , Ghiţă D. G. , Sluşanschi E. , Ticoş C. M. 
Published: April 2024

The high power laser system at Extreme Light Infrastructure—Nuclear Physics has demonstrated 10 PW power shot capability. It can also deliver beams with powers of 1 PW and 100 TW in several different experimental areas that carry out dedicated sets of experiments. An array of diagnostics is deployed to characterize the laser beam spatial profiles and to monitor their evolution during the amplification stages. Some of the essential near-field and far-field profiles acquired with CCD cameras are monitored constantly on a large screen television for visual observation and for decision making concerning the control and tuning of the laser beams. Here, we present results on the beam profile classification obtained from datasets with over 14 600 near-field and far-field images acquired during two days of laser operation at 1 PW and 100 TW. We utilize supervised and unsupervised machine learning models based on trained neural networks and an autoencoder. These results constitute an early demonstration of machine learning being used as a tool in the laser system data classification.
A competence matrix for machine translation-oriented data literacy teaching
Authors: Krüger Ralph , Hackenbuchner Janiça 
Published: April 2024

Abstract
This article presents a matrix of competence descriptors aimed at machine translation-oriented data literacy
teaching. This competence matrix constitutes the didactics-facing side of the DataLitMT project, which develops
learning resources for teaching relevant components of data literacy in their translation-specific form of professional machine
translation (MT) literacy to BA and MA students in translation and specialised communication. After highlighting the increasing
relevance of both professional MT literacy and data literacy in the context of Translation Studies and professional translation,
the article presents and discusses a professional MT literacy framework and an MT-specific data literacy framework, which serve to
structure the two frames of reference relevant to this article. Then, the article provides a detailed discussion of the competence
matrix developed based on the two frameworks sketched previously. This discussion is intended to show how the individual
dimensions and sub-dimensions of data literacy were linked to relevant (sub-)dimensions of professional MT literacy and translated
into corresponding competence descriptors. To conclude, the article presents an example of a learning resource for MT-oriented
data literacy teaching developed based on the descriptors of the competence matrix.
Indirect control of band gaps by manipulating local atomic environments using solid solutions and co-doping
Authors: Al-Farsi Mohammed , Cutini Michele , Allan Neil L , Hart Judy N 
Published: April 2024

Abstract
The ability to tune band gaps of semiconductors is important for many optoelectronics applications including photocatalysis. A common approach to this is doping, but this often has the disadvantage of introducing defect states in the electronic structure that can result in poor charge mobility and increased recombination losses. In this work, density functional theory calculations are used to understand how co-doping and solid solution formation can allow tuning of semiconductor band gaps through indirect effects. The addition of ZnS to GaP alters the local environments of the Ga and P atoms, resulting in shifts in the energies of the P and Ga states that form the valence and conduction band edges, and hence changes the band gap without altering which atoms form the band edges, providing an explanation for previous experimental observations. Similarly, N doping of ZnO is known from previous experimental work to reduce the band gap and increase visible-light absorption; here we show that, when co-doped with Al, the Al changes the local environment of the N atoms, providing further control of the band gap without introducing new states within the band gap or at the band edges, while also providing an energetically more favourable state than N-doped ZnO. Replacing Al with elements of different electronegativity is an additional tool for band gap tuning, since the different electronegativities correspond to different effects on the N local environment. The consistency in the parameters identified here that control the band gaps across the various systems studied indicates some general concepts that can be applied in tuning the band gaps of semiconductors, without or only minimally affecting charge mobility.
Maximizing enhanced oil recovery via oxidative cracking of crude oil: employing air injection and H2O2 with response surface methodology optimization
Authors: Nouari Omar , Hammadou née Mesdour Souad , Hamada Boudjemaa 
Published: April 2024

Abstract
The utilization of air injection as a method to enhance oil recovery in oil fields has gained prominence due to its cost-effectiveness and widespread availability, particularly in heavy oil production. This study focuses on optimizing the oxidative cracking process of Algerian crude oil by employing air injection supplemented with H2O2 and analyzing the interaction of key operating parameters like temperature and catalyst amount using response surface methodology. The predicted values derived from the response functions closely aligned with experimental data, demonstrating high accuracy (R2 = 0.9727 for liquid oil, R2 = 0.9176 for residue, and R2 = 0.7399 for gas phases). Using the developed second-order model, optimal conditions were determined through contour and surface plots, as well as regression equation analysis using Design software. At these optimal parameters (14.78 wt% of H2O2, 2 l min−1 of air flow, 100 ml of crude oil at 354.05 °C for 40 min), the oxidative cracking process yielded 96.32% liquid oil, 3.018% residue, and 0.662% gas products. Notably, the experimental produced liquid oil constituted 96.07 vol. %, matching well with the optimization outcomes. Physicochemical analysis of liquid product phase obtained from oxidative cracking process of petroleum confirmed the prevalence of light aliphatic compounds (C2-C11) at 70.59%, alongside 29.41% of C12-C36. The process also resulted in reduced viscosity, density, refractive index, and sulfur content in the liquid phase. The combination of air injection and H2O2 showcases promise in recovering residual oil effectively and contributes to the ongoing advancements in EOR techniques.
On the failure of Ornstein theory in the finitary category
Authors: Gabor Uri 
Published: April 2024

We show the invalidity of finitary counterparts for three classification theorems: The preservation of being a Bernoulli shift through factors, Sinai’s factor theorem, and the weak Pinsker property. We construct a finitary factor of an i.i.d. process which is not finitarily isomorphic to an i.i.d. process, showing that being finitarily Bernoulli is not preserved through finitary factors. This refutes a conjecture of M. Smorodinsky [Finitary isomorphism of

m
m

-dependent processes, Amer. Math. Soc., Birkhauser, Providence, RI, 1992, pp. 373–376], which was first suggested by D. Rudolph [A characterization of those processes finitarily isomorphic to a Bernoulli shift, Birkhäuser, Boston, Mass., 1981, pp. 1–64]. We further show that any ergodic system is isomorphic to a process none of whose finitary factors are i.i.d. processes, and in particular, there is no general finitary Sinai’s factor theorem for ergodic processes. Another consequence of this result is the invalidity of a finitary weak Pinsker property, answering a question of G. Pete and T. Austin [Math. Inst. Hautes Études Sci. 128 (2018), 1–119].
Newsvendor decisions under incomplete information: behavioural experiments on information uncertainty
Authors: Kocabıyıkoğlu Ayşe , Önkal Dilek , Göğüş Celile Itır , Gönül M Sinan 
Published: April 2024

Abstract
Accepted by: Aris Syntetos
Exploring the effects of information uncertainty presents an extensive challenge to decision makers. This study presents a set of behavioural experiments that examine the impact of incomplete information on newsvendor decisions. Findings show that orders deviate from normative benchmarks when decision makers have incomplete information and this tendency is stronger when the demand distribution is not known. Comparison of decisions under incomplete information against behavioural benchmarks with full and no information reveal that the availability of price and cost information brings decisions significantly closer to normative levels when the underlying demand distribution is unknown. On the opposite spectrum, when demand information is available, not knowing price or cost does not lead to worse decisions. Analysing newsvendor profits under various information conditions, we find participants capture at most 84% of earnings they could have generated if they ordered the normative quantity in high-profit margin settings; the corresponding percentage is 51% in low-profit margin settings. Our results suggest decreasing uncertainty on the demand distribution has a consistently positive impact on profits, while uncertainty about cost or price does not have a significant effect. Implications of our findings on the differential impact of incomplete information are discussed via the backdrop of the prevalence of newsvendor framework across a wide range of operational decisions.
Angle-dependent seismic attenuation-based gas-bearing detection of a sandstone river channel reservoir in the western Sichuan Basin
Authors: Sun Zhentao , Yin Xingyao , Ji Yongzhen 
Published: April 2024

Abstract
The shallow river channel sandstone reservoirs of Jurassic in the western Sichuan Basin are rich in natural gas. The gas-bearing sweet-spot has a ‘sausage-like’ distribution feature, with complex gas water distribution. Analyses of seismic data at different angles show that gas-bearing reservoir formation has different seismic attenuation features from the water-bearing formations, and such differences have a certain correlation with gas production. Accordingly, a gas-bearing detection technology based on angle-dependent seismic attenuation feature is proposed. First, the matching-pursuit time-frequency analysis method is used to extract high-resolution time-frequency spectra from seismic data at different incidence angles. Then, the angle-dependent seismic attenuation attribute is estimated using the extracted time-frequency spectra. Finally, the attribute is combined with the inverted impedance for gas-bearing detection. With the advantages of lower uncertainty and being less affected by reservoir porosity, the application results of the developed method have a high coincidence rate with the drilled wells, and the drilling wells deployed based on the detection results have achieved high production.
Hepatitis B Virus Prevalence and Transmission in the Households of Pregnant Women in Kinshasa, Democratic Republic of Congo
Authors: Morgan Camille E , Ngimbi Patrick , Boisson-Walsh Alix J N , Ntambua Sarah , Matondo Jolie , Tabala Martine , Kashamuka Melchior Mwandagalirwa , Emch Michael , Edwards Jessie K , Powers Kimberly A , James Linda , Mbonze Nana , Mampunza Samuel , Yotebieng Marcel , Thompson Peyton , Parr Jonathan B 
Published: April 2024

Abstract

Background
The World Health Organization Africa region has high regional hepatitis B virus (HBV) prevalence, and evidence suggests more frequent horizontal HBV transmission than other regions. Context-specific epidemiological studies are needed to inform additional HBV prevention measures.

Methods
In the cross-sectional Horizontal and Vertical Transmission of Hepatitis B (HOVER-HBV) study, we introduced HBV surface antigen (HBsAg) screening alongside existing HIV screening as part of routine antenatal care in high-volume maternity clinics in Kinshasa, Democratic Republic of Congo. We recruited households of pregnant women (“index mothers”) who were HBsAg-positive and HBsAg-negative, defining households as index-positive and index-negative, respectively. Household members underwent HBsAg testing and an epidemiological survey. We evaluated HBsAg prevalence and potential transmission correlates.

Results
We enrolled 1006 participants from 200 households (100 index-positive, 100 index-negative) across Kinshasa. HBsAg-positivity prevalence was more than twice as high in index-positive households (5.0% [95% confidence interval {CI}, 2.8%–7.1%]) as in index-negative households (1.9% [95% CI, .6%–3.2%]). HBsAg-positivity prevalence was 3.3 (95% CI, .9–11.8) times as high among direct offspring in index-positive versus index-negative households. Factors associated with HBsAg positivity included older age, marriage, and having multiple recent partners or any new sexual partners among index mothers; and older age, lower household wealth, sharing nail clippers, and using street salons among offspring in index-positive households.

Conclusions
Vertical and horizontal HBV transmission within households is ongoing in Kinshasa. Factors associated with infection reveal opportunities for HBV prevention efforts, including perinatal prevention, protection during sexual contact, and sanitation of shared personal items.
Digital Health Convergence Workshop: The Kenyan Experience
Authors: Waiyaiya Emma , Nyaga Nelly , Nyangena Job , Nyotu Ryan , Wamicwe Joyce , Langat Bernard , Wanyee Steven 
Published: April 2024

Abstract
In the dynamic landscape of digital development, the power of collaboration and convergence emerge as dynamic forces driving innovation and excellence. These forces not only align with global best practices defined in the Principles for Digital Development but also propel advancements in healthcare. A Convergence Workshop, which brings together diverse stakeholders is an approach to kick-start and sustain a shared vision within the ecosystem from healthcare providers to government agencies and serve as a catalyst for consensus building on critical aspects, including data standards, security protocols, and regulatory compliance. The value of Convergence Workshops lies in their ability to foster collaboration, address multifaceted challenges, and pave the way for a unified, interoperable Health Information Exchange and overarching Digital Public Infrastructure for Health while building relationships and trust between stakeholders. In this context, they play an indispensable role in shaping the future of a country's healthcare ecosystem, enhancing data-driven decision-making, and ultimately improving health outcomes.