bluuebunny/crossref_metadata_2025_split huggingface dataset:
Outcome and risk prediction of early progression in patients with extranodal natural killer/T cell lymphoma from the CLCG study
Authors: Li Jia-Ying , Hou Xiao-Rong , Chen Si-Ye , Liu Xin , Zhong Qiu-Zi , Qian Li-Ting , Qiao Xue-Ying , Wang Hua , Zhu Yuan , Cao Jian-Zhong , Wu Jun-Xin , Wu Tao , Zhu Su-Yu , Shi Mei , Zhang Hui-Lai , Zhang Xi-Mei , Su Hang , Song Yu-Qin , Zhu Jun , Zhang Yu-Jing , Huang Hui-Qiang , Wang Ying , He Xia , Zhang Li-Ling , Qu Bao-Lin , Yang Yong , Hu Chen , Deng Min , Wang Shu-Lian , Qi Shu-Nan , Li Ye-Xiong 
Published: June 2023

AbstractRecently, progression-free survival at 24 months (PFS24) was defined as clinically relevant for patients with extranodal NK/T cell lymphoma. Herein, the clinical data from two independent random cohorts (696 patients each in the primary and validation datasets) were used to develop and validate a risk index for PFS24 (PFS24-RI), and evaluate its ability to predict early progression. Patients achieving PFS24 had a 5-year overall survival (OS) of 95.8%, whereas OS was only 21.2% in those failing PFS24 (P<0.001). PFS24 was an important predictor of subsequent OS, independent of risk stratification. The proportion of patients achieving PFS24 and 5-year OS rates correlated linearly among risk-stratified groups. Based on multivariate analysis of the primary dataset, the PFS24-RI included five risk factors: stage II or III/IV, elevated lactate dehydrogenase, Eastern Cooperative Oncology Group score ≥2, primary tumor invasion, and extra-upper aerodigestive tract. PFS24-RI stratified the patients into low-risk (0), intermediate-risk (1–2), high-risk (≥3) groups with different prognoses. Harrell’s C-index of PFS24-RI for PFS24 prediction was 0.667 in the validation dataset, indicating a good discriminative ability. PFS24-RI calibration indicated that the actual observed and predicted probability of failing PFS24 agreed well. PFS24-RI provided the probability of achieving PFS24 at an individual patient level.
Genderkompetenz: Leer- oder Lehrstelle?
Authors: Schigl Brigitte , Ahlers Corina 
Published: June 2023

ZusammenfassungGender ist eine nach wie vor unterbelichtete Therapeut:innen- (und Patient:innen)Variable der Psychotherapieforschung. Dieser Beitrag definiert Gendersensibilität und Genderkompetenz und stellt vier qualitative Studien vor, die Aussagen dazu in Bezug auf österreichische Psychotherapeut:innen liefern: Die qualitativen Daten der ersten beiden Studien resultieren aus einer Sekundäranalyse, in der Aussagen zum Thema Sprechen über Sexualität sowie leibliche Berührung in der Psychotherapie untersucht wurden. Eine weitere Arbeit beschäftigt sich direkt mit der Genderkompetenz von Psychotherapeut:innen im Prozess der Zielvereinbarung am Beginn der Psychotherapie. Eine Studie aus dem systemischen Feld analysiert Briefe Studierender an Patient:innen (Einzelpersonen, Paare, Familien). Die kritischen Analysen aller Daten verweisen auf eher klischeehafte Vorstellungen von Gender bzw. aus Identifikation resultierende Interaktionen und relativ wenig diesbezügliche Reflexion seitens der Psychotherapeut:innen. Allerdings auch, dass Gendersensibilität angestoßen werden kann und vielfach bei Studierenden ein Wunsch nach mehr Information und Auseinandersetzung damit besteht.
Enhanced damage classification accuracy on a transmission by extending existing datasets with generative adversarial networks
Authors: König Timo , Wagner Fabian , Kley Markus , Liebschner Marcus 
Published: June 2023

AbstractIn many areas of drive technology, condition monitoring of transmissions and drive systems is becoming an increasingly important discipline. Condition monitoring systems are used in many cases in combination with machine learning algorithms. The generation of a sufficient amount of data per condition class is relevant to ensure training stability and accuracy of the applied algorithms. Especially in early development phases a sufficient data generation is not often given. In the scope of this paper, a Generative Adversarial Network is applied to generate synthetic data and therefore extend existing measurement data sets. Acceleration data in three different condition classes is used, that has been collected on a gearbox as part of the PHM Data Challenge 2009. In order to highlight relevant features and reduce the number of data points, data is pre-processed via appropriate signal analysis techniques, in this case with the spectral kurtosis. It is shown, that in this use case the synthetically generated data via a Generative Adversarial Network has the same feature characteristics as the real measured data sets. The augmentation of the existing data set also improves the detection accuracy with artificial neural networks for the classification of different system states.
Neurostimulation and sleep in patients with epilepsy—English version
Authors: Voges Berthold , Imbach Lukas 
Published: June 2023

Abstract
Background
Chronic sleep disturbance may affect seizure frequency and efficacy of treatment in epilepsy patients. Vagus nerve stimulation (VNS) and deep brain stimulation (DBS) can both induce sleep disturbance as a side effect.

Aim
The goal of this review is to provide information and clinical advice about potential interactions between DBS at the anterior nucleus of the thalamus (ANT) and sleep as well as between VNS and sleep.

Materials and methods
We provide an up-to-date overview of the currently available literature, giving insights for diagnostics and therapy based on clinical studies, and experience in two epilepsy centers with longitudinal cohorts of patients under chronic neurostimulation.

Results
In patients with chronic ANT-DBS and VNS, stimulation-correlated, probably dose-dependent sleep disturbances have been reported in several studies. The reason for this is assumed to be an accidental co-stimulation of the ascending reticular arousal system in the case of DBS, and an indirect effect via induction of sleep-related breathing disorders in the case of VNS. Furthermore, VNS might also influence sleep through modulation of noradrenergic and dopaminergic, arousal-inducing systems in the pons and midbrain. Reduction of stimulation amplitudes, changes in stimulation parameters, and localization of the active stimulation zone are discussed as treatment strategies in DBS. In the case of VNS-induced sleep disturbance, a nocturnal reduction of stimulation (bilevel therapy) can be offered.

Conclusion
As data are currently still sparse, it seems important to optimize treatment regimens for VNS and DBS in order not to antagonize their potential anticonvulsant effects by inducing sleep fragmentation.
Bioenergy production from chicken manure: a review
Authors: Tawfik Ahmed , Eraky Mohamed , Osman Ahmed I. , Ai Ping , Zhou Zhongbo , Meng Fangang , Rooney David W. 
Published: June 2023

AbstractAdopting waste-to-wealth strategies and circular economy models can help reduce biowaste and add value. For instance, poultry farming is an essential source of protein, and chicken manure can be converted into renewable energy through anaerobic digestion. However, there are a number of restrictions that prevent the utilization of chicken manure in bioenergy production. Here, we review the conversion of chicken manure into biomethane by anaerobic digestion with focus on limiting factors, strategies to enhance digestion, and valorization. Limiting factors include antibiotics, ammonia, fatty acids, trace elements, and organic compounds. Digestion can be enhanced by co-digestion with sludge, lignocellulosic materials, food waste, and green waste; by addition of additives such as chars, hydrochars, and conductive nanoparticles; and by improving the bacterial community. Chicken manure can be valorized by composting, pyrolysis, and gasification. We found that the growth of anaerobic organisms is inhibited by low carbon-to-nitrogen ratios. The total biogas yield decreased from 450.4 to 211.0 mL/g volatile solids in the presence of Staphylococcus aureus and chlortetracycline in chicken manure. A chlortetracycline concentration of 60 mg/kg or less is optimal for biomethanization, whereas higher concentrations can inhibit biomethane production. The biomethane productivity is reduced by 56% at oxytetracycline concentrations of 10 mg/L in the manure. Tylosin concentration exceeding 167 mg/L in the manure highly deteriorated the biomethane productivity due to an accumulation of acetate and propionate in the fermentation medium. Anaerobic co-digestion of 10% of primary sludge to 90% of chicken manure increased the biogas yield up to 8570 mL/g volatile solids. Moreover, chemicals such as biochar, hydrochar, and conducting materials can boost anaerobic digestion by promoting direct interspecies electron transfer. For instance, the biomethane yield from the anaerobic digestion of chicken manure was improved by a value of 38% by supplementation of biochar.
Lessons of Hope and Resilience: A Co-Produced Qualitative Study of the Experiences of Youth Living with Psychosis During the COVID-19 Pandemic in Nigeria
Authors: Bella-Awusah Tolulope , Abdurahman Haleem , Omobowale Olubukola , Aturu Olayinka , Afolayan Adeola , Ogunmola Olusegun , Fasoranti Bisola , Olusanmi Mayowa , Tamambang Rita , Bamidele Olayinka , Ryan Grace , Shakespeare Thomas , Eaton Julian , Omigbodun Olayinka 
Published: June 2023

AbstractMuch of the emerging evidence on the impact of COVID-19 on people with psychosocial disabilities comes from high-income countries. This study sought to explore the perceptions and experiences of youths living with psychosis during the COVID-19 pandemic in Nigeria. Using a co-produced research process, a facility-based study was conducted among youth with confirmed diagnosis of a psychotic disorder. In-depth interviews were conducted with 20 participants. Data was transcribed, double-coded and analysed with Atlas.ti using a thematic analysis approach. We found that participants were aware of good evidence-based information on the nature of the disease and the pandemic. Many of them described worsening mental health and disruptions to daily routines. Opportunities for deepening family relationships, skill building, helping others, and extended time for previously neglected self-development activities were described. This study benefitted from co-production with persons with lived experience, which could be harnessed for future research on psychosis.
Towards privacy-preserving digital marketing: an integrated framework for user modeling using deep learning on a data monetization platform
Authors: Han Qiwei , Lucas Carolina , Aguiar Emila , Macedo Patrícia , Wu Zhenze 
Published: June 2023

AbstractThis paper presents a novel approach to privacy-preserving user modeling for digital marketing campaigns using deep learning techniques on a data monetization platform, which enables users to maintain control over their personal data while allowing marketers to identify suitable target audiences for their campaigns. The system comprises of several stages, starting with the use of representation learning on hyperbolic space to capture the latent user interests across multiple data sources with hierarchical structures. Next, Generative Adversarial Networks are employed to generate synthetic user interests from these embeddings. To ensure the privacy of user data, a Federated Learning technique is implemented for decentralized user modeling training, without sharing data with marketers. Lastly, a targeting strategy based on recommendation system is constructed to leverage the learned user interests for identifying the optimal target audience for digital marketing campaigns. Overall, the proposed approach provides a comprehensive solution for privacy-preserving user modeling for digital marketing.
Substance Use Disorder-Related Deaths and Maternal Mortality in New Mexico, 2015–2019
Authors: Fuchs Jessica R. , Schiff Melissa A. , Coronado Eirian 
Published: June 2023

Abstract
Background
In recent decades, maternal mortality has increased across the U.S. Experiences of pregnant and postpartum people with Substance Use Disorder (SUD)-related deaths have not been previously evaluated in New Mexico. The aim of this study was to analyze risk factors related to substance use and explore substance use patterns among pregnancy-associated deaths in New Mexico from 2015 to 2019.

Methods
We conducted an analysis of pregnancy-associated deaths to assess the association between demographics, pregnancy factors, circumstances surrounding death, treatment of mental health conditions, and experiences with social stressors among Substance Use Disorder (SUD)-related and non-SUD-related deaths. We performed univariate analyses of risk factors using chi-square tests to assess the differences between SUD-related and non-SUD-related deaths. We also examined substance use at time of death.

Results
People with SUD-related deaths were more likely to die 43–365 days postpartum (81% vs. 45%, p-value = 0.002), have had a primary cause of death of mental health conditions (47% vs 10%, p < 0.001), have died of an overdose (41% vs. 8%, p-value = 0.002), have had experienced any social stressors (86% vs 30%, p < 0.001) compared to people with non-SUD-related deaths, and received treatment for SUD at any point before, during, or after pregnancy (49% vs. 2%, p < 0.001). The substances most used at time of death were amphetamines (70%), and most cases engaged in polysubstance use (63%).

Conclusions for Practice
Providers, health departments, and community organizations must prioritize supporting people using substances during and after pregnancy to prevent death and improve quality of life for pregnant and postpartum people.
Investigating the dissolution of soil phosphate
Authors: Barrow N. J. , Debnath Abhijit , Sen Arup 
Published: June 2023

Abstract
Aims
The effectiveness of phosphate fertilisers decreases with increasing period of reaction. One explanation for this is that the phosphate (P) has changed its chemical form. Evidence for this is provided by fractionation schemes which include extraction with alkali, followed by extraction with acid. Our aim was to test whether alkali and acid extracted different moieties and to test their ability to reflect changes in phosphate form over time.

Methods
We measured the effect of period of reaction between P and an iron (hydroxy)oxide (goethite), an aluminium oxide, and a soil, using two methods. These are: extraction with acid and extraction with alkali.

Results
Extraction of P by acid was similar to extraction by alkali. This is not consistent with the idea that they extract different kinds of phosphate. With increasing period of reaction, more iron and more aluminium needed to be dissolved in order to dissolve the same amount of P. The rate of dissolution of iron and of aluminium decreased with increasing period of reaction with phosphate.

Conclusions
Our results are consistent with diffusion of P into the reacting materials rather than formation of different chemical forms. We think the increased resistance to disolution occurred because phosphate diffused into defects and repaired them. Fractionation methods reflect increasing vigour of extraction rather than the presence of separate forms.
The Current of Consciousness: Neural Correlates and Clinical Aspects
Authors: Friedman Garrett , Turk Katherine W. , Budson Andrew E. 
Published: June 2023

AbstractPurpose of ReviewIn this review, we summarize the current understanding of consciousness including its neuroanatomic basis. We discuss major theories of consciousness, physical exam-based and electroencephalographic metrics used to stratify levels of consciousness, and tools used to shed light on the neural correlates of the conscious experience. Lastly, we review an expanded category of ‘disorders of consciousness,’ which includes disorders that impact either the level or experience of consciousness.Recent FindingsRecent studies have revealed many of the requisite EEG, ERP, and fMRI signals to predict aspects of the conscious experience. Neurological disorders that disrupt the reticular activating system can affect the level of consciousness, whereas cortical disorders from seizures and migraines to strokes and dementia may disrupt phenomenal consciousness. The recently introduced memory theory of consciousness provides a new explanation of phenomenal consciousness that may explain better than prior theories both experimental studies and the neurologist’s clinical experience.SummaryAlthough the complete neurobiological basis of consciousness remains a mystery, recent advances have improved our understanding of the physiology underlying level of consciousness and phenomenal consciousness.
Early Intravenous Beta-Blockade with Esmolol in Adults with Severe Traumatic Brain Injury (EBB-TBI): Protocol for a Phase 2a Intervention Design Study
Authors: Thomas Matt , Hayes Kati , White Paul , Ramesh Aravind , Culliford Lucy , Ackland Gareth , Pickering Anthony 
Published: June 2023

AbstractTraumatic brain injury is a leading cause of death and disability worldwide. Interventions that mitigate secondary brain injury have the potential to improve outcomes for patients and reduce the impact on communities and society. Increased circulating catecholamines are associated with worse outcomes and there are supportive animal data and indications in human studies of benefit from beta-blockade after severe traumatic brain injury. Here, we present the protocol for a dose-finding study using esmolol in adults commenced within 24 h of severe traumatic brain injury. Esmolol has practical advantages and theoretical benefits as a neuroprotective agent in this setting, but these must be balanced against the known risk of secondary injury from hypotension. The aim of this study is to determine a dose schedule for esmolol, using the continual reassessment method, that combines a clinically significant reduction in heart rate as a surrogate for catecholamine drive with maintenance of cerebral perfusion pressure. The maximum tolerated dosing schedule for esmolol can then be tested for patient benefit in subsequent randomized controlled trials.Trial registration ISRCTN, ISRCTN11038397, registered retrospectively 07/01/2021 https://www.isrctn.com/ISRCTN11038397
Rapid Versus Gradual Weaning of External Ventricular Drain: A Systematic Literature Review and Meta-analysis
Authors: Ebel Florian , Lichter Eric , Mariani Luigi , Guzman Raphael , Soleman Jehuda 
Published: June 2023

AbstractThe insertion of an external ventricular drain (EVD) is one of the most common neurosurgical procedures. Whether the weaning method (gradual or rapid) influences the ventriculoperitoneal shunt (VPS) insertion rate has not been conclusively established. The aim of this study is to provide a systematic literature review and conduct a meta-analysis of studies comparing gradual with rapid EVD weaning regarding VPS insertion rate. Articles were identified by searching the Pubmed/Medline, Embase, and Web of Science databases throughout October 2022. Two independent researchers assessed the studies for inclusion and quality. We included randomized trials, prospective cohort studies, and retrospective cohort studies, which compared gradual and rapid EVD weaning. The primary outcome was VPS insertion rate, whereas secondary outcomes were EVD-associated infection (EVDAI) rate and length of stay in the hospital and intensive care unit (ICU). Four studies directly comparing rapid versus gradual EVD weaning, with 1337 patients suffering from subarachnoid hemorrhage, were identified and included in the meta-analysis. VPS insertion rate was 28.1% and 32.1% in patients with gradual and rapid EVD weaning, respectively (relative risk 0.85, 95% confidence interval 0.49–1.46, p = 0.56). Further, the EVDAI rate was comparable between the groups (gradual group 11.2%, rapid group 11.5%, relative risk 0.67, 95% confidence interval 0.24–1.89, p = 0.45), whereas length of stay in the ICU and hospital were significantly shorter in the rapid weaning group (2.7 and 3.6 days, respectively; p < 0.01). Rapid EVD weaning seems comparable to gradual EVD weaning concerning VPS insertion rates and EVDAI, whereas hospital and ICU length of stay is significantly reduced.
Structured software development versus agile software development: a comparative analysis
Authors: Mishra Alok , Alzoubi Yehia Ibrahim 
Published: June 2023

AbstractThe use of agile methodology has become widespread in organizations that previously relied on traditional or structured software development methods, such as the waterfall approach. Successful completion rates for agile initiatives are at 40%, whereas only 15% of waterfall projects were successfully completed. To take advantage of the benefits of each method, many organizations are using a hybrid approach that combines Agile with Waterfall and structured software development methodologies. Rather than asking which methodology is superior, it is more productive to determine which one is most effective for a particular project. Agile projects have a failure rate of 10%, while waterfall projects fail 30% of the time. This study aims to compare and contrast agile and waterfall methodologies in order to create a decision tree for selecting the most suitable method for a software development project. Several cases and scenarios are examined using the hybrid development approach. Despite many advantages of Agile methodologies, a combination approach may be necessary, as Waterfall may be required for certain projects or development phases. This study explores the feasibility of combining Waterfall and Agile methodologies in software development management.
Modification of graphene oxide with imidazolium-based ionic liquid for significant sorption of La(III) and Pr(III) from aqueous solutions
Authors: Elgoud Elsayed Mustafa Abu , Abd-Elhamid Ahmed Ibrahim , Aly Hisham Fouad 
Published: June 2023

AbstractA straightforward ferrocyanide immobilization on the surface of graphene oxide (GO) was conducted for rapid and efficient adsorption capacity for lanthanum and praseodymium from an aqueous solution. The GO was mixed with 1-methyl imidazole in the presence of epichlorohydrin to form GO-imidazole-Cl and thereafter suspended in a potassium ferrocyanide solution to fabricate GO-imidazole-FeCN. The prepared materials were characterized with different advanced techniques confirming the preparation method. The adsorption ability of GO-imidazole-FeCN towards La(III) and Pr(III) ions was evaluated. Moreover, the adsorption isotherm showed that the sorption process was fitted with the Langmuir isotherm model with a considerable maximum adsorption capacity of 781.25 mg g−1 for La(III) and 862.07 mg g−1 for Pr(III). The thermodynamic studies showed that the adsorption of both metal ions was spontaneous and endothermic. In addition, the adsorbent showed excellent adsorption–desorption behavior over 5 times, suggesting that GO-imidazole-FeCN may be considered a potential candidate for La(III) and Pr(III) removal from different metal ions which present in fission products.