bluuebunny/crossref_metadata_2025_split huggingface dataset:
Untargeted blood serum proteomics identifies novel proteins related to neurological recovery after human spinal cord injury
Authors: Garcia-Ovejero Daniel , Beyerer Evelyn , Mach Orpheus , Leister Iris , Strowitzki Martin , Wutte Christof , Maier Doris , Kramer John LK , Aigner Ludwig , Arevalo-Martin Angel , Grassner Lukas 
Published: July 2024

Abstract
Background
The discovery of new prognostic biomarkers following spinal cord injury (SCI) is a rapidly growing field that could help uncover the underlying pathological mechanisms of SCI and aid in the development of new therapies. To date, this search has largely focused on the initial days after the lesion. However, during the subacute stage of SCI (weeks to months after the injury), there remains potential for sensorimotor recovery, and numerous secondary events develop in various organs. Additionally, the confounding effects of early interventions after the injury are less likely to interfere with the results.

Methods
In this study, we conducted an untargeted proteomics analysis to identify biomarkers of recovery in blood serum samples during the subacute phase of SCI patients, comparing those with strong recovery to those with no recovery between 30 and 120 days. We analyzed the fraction of serum that is depleted of the most abundant proteins to unmask proteins that would otherwise go undetected. Linear models were used to identify peptides and proteins related to neurological recovery and we validated changes in some of these proteins using Enzyme-linked Immunosorbent Assay (ELISA).

Results
Our findings reveal that differences in subacute recovery after SCI (from 30 to 120 days) are associated with an enrichment in proteins involved in inflammation, coagulation, and lipid metabolism. Technical validation using commercial ELISAs further confirms that high levels of SERPINE1 and ARHGAP35 are associated with strong neurological recovery, while high levels of CD300a and DEFA1 are associated with a lack of recovery.

Conclusions
Our study identifies new candidates for biomarkers of neurological recovery and for novel therapeutic targets after SCI.
Adaptability, Scalability and Sustainability (ASaS) of complex health interventions: a systematic review of theories, models and frameworks
Authors: Sun Lixin , Booth Andrew , Sworn Katie 
Published: July 2024

Abstract
Background
Complex health interventions (CHIs) are increasingly used in public health, clinical research and education to reduce the burden of disease worldwide. Numerous theories, models and frameworks (TMFs) have been developed to support implementation of CHIs.
This systematic review aims to identify and critique theoretical frameworks concerned with three features of implementation; adaptability, scalability and sustainability (ASaS). By dismantling the constituent theories, analysing their component concepts and then exploring factors that influence each theory the review team hopes to offer an enhanced understanding of considerations when implementing CHIs.

Methods
This review searched PubMed MEDLINE, CINAHL, Web of Science, and Google Scholar for research investigating the TMFs of complex health interventions. Narrative synthesis was employed to examine factors that may influence the adaptability, scalability and sustainability of complex health interventions.

Results
A total of 9763 studies were retrieved from the five databases (PubMed, MEDLINE, CINAHL, Web of Science, and Google Scholar). Following removal of duplicates and application of the eligibility criteria, 35 papers were eligible for inclusion. Influencing factors can be grouped within outer context (socio-political context; leadership funding, inter-organisational networks), inner context; (client advocacy; organisational characteristics), intervention characteristics (supervision, monitoring and evaluation), and bridging factors (individual adopter or provider characteristics).

Conclusion
This review confirms that identified TMFS do not typically include the three components of adaptability, scalability, and sustainability. Current approaches focus on high income countries or generic “whole world” approaches with few frameworks specific to low- and middle-income countries. The review offers a starting point for further exploration of adaptability, scalability and sustainability, within a low- and middle-income context.

Trial registration
Not registered.
Outcomes after 4 years’ experience with low suction drains. Would it be safe to go drainless or low suction?
Authors: Fazlioglu Mithat , Hammad Walid , Piyadeoglu Deniz , Kutlu Cemal Asim 
Published: July 2024

Abstract
Background
The principles of chest drainage have not changed significantly since 1875 when Bülau introduced the idea of underwater drainage tube which became a trademark of thoracic surgery. We performed a prospective, randomized trial comparing omitting pleural drain (drainless group) versus drainage with small low suction drain (drainage group) strategies of thoracic surgery when the visceral pleura remains intact. Aiming to investigate whether these approaches represent safe treatment options.

Methods
A multi-center, prospective, parallel group, randomized, controlled trial enrolling patients after thoracic procedures in which visceral pleura remained intact at the end of surgery between August 2020 and September 2023. After completion of the procedure a suction-seal test was conducted on all patients. If suction-seal test was positive to confirm absence of air leak, patients were randomized to either receive low auto-suction drain as a solo pleural drain (drainage group) or not to receive drain (drainless group).

Results
During the study period, 111 patients were recruited. Eleven patients had negative Suction-seal test and were excluded by inserting a traditional underwater seal. The remaining 100 patients were randomly assigned to either drainage group with low suction drain (Fig. 1) (n = 50) or drainless group (n = 50).

Conclusion
The results of this study suggest that either omitting drain or inserting a low auto suction drain safely substitutes the one-way valve when the visceral pleura remains intact. Omitting drain or inserting portable small caliber drain encourages early mobilization and is associated with shorter hospital stay.
Cow-calf contact: a single-herd observational study of AMS yield during the first 100 days in milk
Authors: Hanssen Henrik , Amundsen Hanne , Johnsen Julie Føske 
Published: July 2024

AbstractAn increasing number of dairy farmers plan to implement cow-calf contact (CCC) in their herd which necessitates descriptions of the cows` performance in different systems. The aim of the study was to describe (1) Automatic milking system (AMS) milk yield of cows in a CCC system during the first 100 days in milk (DIM) and (2) AMS milk yield before and after cow-calf separation. In a prospective study at a commercial Norwegian dairy farm, we included all calvings from Norwegian Red cows between January 2019 to April 2020. After calving, cow-calf pairs stayed in an individual calving pen during the first 5–6 d before they were moved to the loose housing unit with the remaining herd. Calves had whole-day (24 h/d) and full physical contact to the cows. Cows were milked in an AMS. From 14 individual cows of which one cow calved twice during the study period, we collected daily AMS yields from 15 different lactations, with parities ranging from 1 (n = 6), 2 (n = 5) and 3 (n = 4). Due to the sample size and structure of the data set, we only calculated descriptive statistics from DIM 7-100. All data is shown separately for primiparous and multiparous cows. Mean (± SD) calf age at (fence-line) separation was 52 d ± 14.8 beyond which suckling was prevented. Our data indicates great individual variation in the AMS milk yield. Prior to separation, primiparous cows` AMS yields ranged from 11.0 to 25.9 kg/d while that of multiparous cows ranged from 4.8 to 28.8 kg/d. Once calves were no longer allowed to suckle, the yield increased gradually. During the week after separation, AMS yields ranged from 17.3 to 30.4 kg/d for primiparous cows and 8.7 to 41.8 kg/d for multiparous cows and these yields increased in DIM 93–100 (26.5 to 34.3 and 20.6 to 38.3 kg/d respectively). This study is limited by a low sample size from a single-herd but may provide useful descriptions of AMS milk yield in a whole-day, full contact CCC system during the first 100 days of lactation.
The duality of amyloid-β: its role in normal and Alzheimer’s disease states
Authors: Azargoonjahromi Ali 
Published: July 2024

AbstractAlzheimer’s disease (AD) is a degenerative neurological condition that gradually impairs cognitive abilities, disrupts memory retention, and impedes daily functioning by impacting the cells of the brain. A key characteristic of AD is the accumulation of amyloid-beta (Aβ) plaques, which play pivotal roles in disease progression. These plaques initiate a cascade of events including neuroinflammation, synaptic dysfunction, tau pathology, oxidative stress, impaired protein clearance, mitochondrial dysfunction, and disrupted calcium homeostasis. Aβ accumulation is also closely associated with other hallmark features of AD, underscoring its significance. Aβ is generated through cleavage of the amyloid precursor protein (APP) and plays a dual role depending on its processing pathway. The non-amyloidogenic pathway reduces Aβ production and has neuroprotective and anti-inflammatory effects, whereas the amyloidogenic pathway leads to the production of Aβ peptides, including Aβ40 and Aβ42, which contribute to neurodegeneration and toxic effects in AD. Understanding the multifaceted role of Aβ, particularly in AD, is crucial for developing effective therapeutic strategies that target Aβ metabolism, aggregation, and clearance with the aim of mitigating the detrimental consequences of the disease. This review aims to explore the mechanisms and functions of Aβ under normal and abnormal conditions, particularly in AD, by examining both its beneficial and detrimental effects.
Emerging frontiers in androgen receptor research for prostate Cancer: insights from the 2nd international androgen receptor Symposium
Authors: Israel Justus Simon , Marcelin Laura-Maria , Thomas Christian , Szczyrbová Eva , Fuessel Susanne , Puhr Martin , Linxweiler Johannes , Yalala Shivani , Zwart Wilbert T. , Baniahmad Aria , van Goubergen Jasper , Itkonen Harri M. , Sharp Adam , O’Neill Edward , Pretze Marc , Miederer Matthias , Erb Holger H.H. 
Published: July 2024

AbstractContinued exploration of the androgen receptor (AR) is crucial, as it plays pivotal roles in diverse diseases such as prostate cancer (PCa), serving as a significant therapeutic focus. Therefore, the Department of Urology Dresden hosted an international meeting for scientists and clinical oncologists to discuss the newest advances in AR research. The 2nd International Androgen Receptor Symposium was held in Dresden, Saxony, Germany, from 26–27.04.2024, organised by Dr. Holger H.H. Erb. Following the format of the first meeting, more than 35 scientists from 8 countries attended the event to discuss recent developments, research challenges, and identification of venues in AR research. An important new feature was the involvement of PhD students and young investigators, acknowledging the high scientific quality of their work. The symposium included three covers: new advances from clinical research, basic and translational research, and novel strategies to target AR. Moreover, based on its increasing clinical relevance, a PSMA theranostic mini-symposium was added at the end of the AR symposium to allow the audience to discuss the newest advances in PSMA theranostic. This report focuses on the highlights and discussions of the meeting.
Exploring task-diverse meta-learning on Tibetan multi-dialect speech recognition
Authors: Liu Yigang , Zhao Yue , Xu Xiaona , Xu Liang , Zhang Xubei , Ji Qiang 
Published: July 2024

AbstractThe disparities in phonetics and corpuses across the three major dialects of Tibetan exacerbate the difficulty of a single task model for one dialect to accommodate other different dialects. To address this issue, this paper proposes task-diverse meta-learning. Our model can acquire more comprehensive and robust features, facilitating its adaptation to the variations among different dialects. This study uses Tibetan dialect ID recognition and Tibetan speaker recognition as the source tasks for meta-learning, which aims to augment the ability of the model to discriminate variations and differences among different dialects. Consequently, the model’s performance in Tibetan multi-dialect speech recognition tasks is enhanced. The experimental results show that task-diverse meta-learning leads to improved performance in Tibetan multi-dialect speech recognition. This demonstrates the effectiveness and applicability of task-diverse meta-learning, thereby contributing to the advancement of speech recognition techniques in multi-dialect environments.
Experiences and challenges of acute coronary syndrome patients in care provision: a qualitative systematic review
Authors: Ameen Daniel , Kynoch Kate , Khalil Hanan 
Published: July 2024

Abstract
Background
Coronary artery disease including acute coronary syndrome (ACS) constitutes the most common cause of death in people with cardiovascular disease. Prompt diagnosis and early initiation of treatment significantly impact on patient outcomes. Positive patient experience with their initial care is linked to positive clinical outcomes.

Objective
This qualitative review aimed to investigate patients’ experience of care provision and the challenges faced by them during their different stages of care following an ACS.

Methods
Searches of four databases - MEDLINE, Embase, CINAHL and PsychINFO - were conducted from inception until July 13, 2022, and were limited to English-language publications. Assessment of methodological quality of studies was performed using the Jonna Briggs Institute (JBI) qualitative assessment and review instrument. Data were extracted using the standardised data extraction tool from JBI. Data synthesis following the JBI approach of meta-aggregation was performed. The level of confidence for each synthesised finding was established based on ConQual.

Results
Overall, from 578 records, 10 studies were included with 39 findings extracted from the included studies. The main synthesised findings were the need to provide tailored information and appropriate management at different stages of care, and that timely management and trust in health care workers are associated with greater patient satisfaction and more positive experiences.

Conclusion
Patients with an ACS experience many challenges during different stages of their care. Clinicians should be aware of the challenges they face and provide tailored information to patients that is appropriate for their different stages of management in order to best optimise patient experience and improve patient outcomes.
Enhancing intrusion detection: a hybrid machine and deep learning approach
Authors: Sajid Muhammad , Malik Kaleem Razzaq , Almogren Ahmad , Malik Tauqeer Safdar , Khan Ali Haider , Tanveer Jawad , Rehman Ateeq Ur 
Published: July 2024

AbstractThe volume of data transferred across communication infrastructures has recently increased due to technological advancements in cloud computing, the Internet of Things (IoT), and automobile networks. The network systems transmit diverse and heterogeneous data in dispersed environments as communication technology develops. The communications using these networks and daily interactions depend on network security systems to provide secure and reliable information. On the other hand, attackers have increased their efforts to render systems on networks susceptible. An efficient intrusion detection system is essential since technological advancements embark on new kinds of attacks and security limitations. This paper implements a hybrid model for Intrusion Detection (ID) with Machine Learning (ML) and Deep Learning (DL) techniques to tackle these limitations. The proposed model makes use of Extreme Gradient Boosting (XGBoost) and convolutional neural networks (CNN) for feature extraction and then combines each of these with long short-term memory networks (LSTM) for classification. Four benchmark datasets CIC IDS 2017, UNSW NB15, NSL KDD, and WSN DS were used to train the model for binary and multi-class classification. With the increase in feature dimensions, current intrusion detection systems have trouble identifying new threats due to low test accuracy scores. To narrow down each dataset’s feature space, XGBoost, and CNN feature selection algorithms are used in this work for each separate model. The experimental findings demonstrate a high detection rate and good accuracy with a relatively low False Acceptance Rate (FAR) to prove the usefulness of the proposed hybrid model.
Oxidative stress and type 2 diabetes: the development and the pathogenesis, Jordanian cross-sectional study
Authors: Abu Khadra Khalid M , Bataineh Mohammad Izzat. , Khalil Ahmad , Saleh Jumana 
Published: July 2024

AbstractAccumulation of reactive oxygen species (ROS) can disrupt the antioxidant defense system, leading to oxidative stress that leads to pathological damage to vital human organs, including hormone-producing glands. Normal physiological function is subsequently disrupted and disorders such as Type 2 Diabetes Mellitus (T2DM) may develop. The critical role of the antioxidant defense system in counteracting ROS and mitigating oxidative stress is fundamental to understanding the pathogenesis of T2DM. In our study, we monitored the oxidant/antioxidant status in a selected Jordanian population to further elucidate this relationship. Our results show higher serum levels of Malondialdehyde (MDA); 0.230 ± 0.05 and 0.207 ± 0.06 μmol/l for the diabetic and the obese groups, respectively, relative to 0.135 ± 0.04 μmol/l for the non-obese healthy group. Lower activity of Catalase (CAT) was recorded among the diabetic (9.2 ± 3.2) and obese groups (11.0 ± 2.8), compared to the non-obese healthy group (12.1 ± 3.5). Significant elevations (P < 0.05) were observed in uric acid concentrations in diabetic and obese subjects: 451 ± 57 mg/dl and 430 ± 51, respectively, versus 342 ± 57 mg/dl in the non-obese healthy group. Moreover, no significant differences were obtained between all the studied groups for the serum albumin and total protein concentrations. Our findings demonstrate the potential role of oxidative stress in the development and occurrence of T2DM.
Women, income use and nutrition quality: effects of women’s decision-making in rural households in Cameroon
Authors: Soh Wenda Boris D. , Fon Dorothy E. , Molua Ernest L. , Longang Saubaber G. 
Published: July 2024

Abstract
Background
Women remain central to household food and nutrition security. However, they continue to face several constraints with respect to access, control and use of credit and income. There is theoretical assertion that increasing women's decision-making authority over family income increases spending and leads to gains in nutrition. However, empirical evidence on the links between rural women's income control and household food and nutrition security is inadequate, especially for a developing country, such as Cameroon.

Methodology
We employ the food consumption score nutrition quality analysis, the income domain of the Abbreviated Women’s Empowerment in Agriculture Index and the Partial Least Square Structural Equations Modelling to examine data collected from 600 rural households in the West region of Cameroon to establish the effects of women’s control over income use on household nutrition quality. To ensure the reliability of our findings, additional tests such as the Confirmatory Tetrad Analysis, the Kolmogorov–Smirnov test with Lilliefors correction, and the Finite Mixture PLS approach are employed.

Results
From the analyses, we observed that a significant percentage of households have poor nutritional quality, particularly in terms of iron-rich food consumption. Women's control over income use remains low and varies based on the source of income. The analyses show that women's decision-making concerning income use and women's perception of their decision-making ability regarding income use and expenditure are positively associated with higher nutritional quality for the household. In addition, we establish that women's perceptions of their ability to make decisions about income use have a positive direct and total effect on nutrition quality, but a negative indirect effect on the latter, with the direct positive effect outweighing the indirect effect.

Conclusions
Inadequate consumption of iron-rich foods is pervasive for most households and there is limited control over income used for the majority of women in the study area. Enhancing women’s control over income use has significant implications for household nutrition quality. Hence, women should be empowered to fully exploit their potential at the household level to enhance food security at the community, regional and national levels.
Parabacteroides distasonis regulates the infectivity and pathogenicity of SVCV at different water temperatures
Authors: Zhang Yujun , Gao Yan , Li Chen , Zhang Yong-An , Lu Yuanan , Ye Jing , Liu Xueqin 
Published: July 2024

Abstract
Background
Spring viremia of carp virus (SVCV) infects a wide range of fish species and causes high mortality rates in aquaculture. This viral infection is characterized by seasonal outbreaks that are temperature-dependent. However, the specific mechanism behind temperature-dependent SVCV infectivity and pathogenicity remains unclear. Given the high sensitivity of the composition of intestinal microbiota to temperature changes, it would be interesting to investigate if the intestinal microbiota of fish could play a role in modulating the infectivity of SVCV at different temperatures.

Results
Our study found that significantly higher infectivity and pathogenicity of SVCV infection in zebrafish occurred at relatively lower temperature. Comparative analysis of the intestinal microbiota in zebrafish exposed to high- and low-temperature conditions revealed that temperature influenced the abundance and diversity of the intestinal microbiota in zebrafish. A significantly higher abundance of Parabacteroides distasonis and its metabolite secondary bile acid (deoxycholic acid, DCA) was detected in the intestine of zebrafish exposed to high temperature. Both colonization of Parabacteroides distasonis and feeding of DCA to zebrafish at low temperature significantly reduced the mortality caused by SVCV. An in vitro assay demonstrated that DCA could inhibit the assembly and release of SVCV. Notably, DCA also showed an inhibitory effect on the infectious hematopoietic necrosis virus, another Rhabdoviridae member known to be more infectious at low temperature.

Conclusions
This study provides evidence that temperature can be an important factor to influence the composition of intestinal microbiota in zebrafish, consequently impacting the infectivity and pathogenicity of SVCV. The findings highlight the enrichment of Parabacteroides distasonis and its derivative, DCA, in the intestines of zebrafish raised at high temperature, and they possess an important role in preventing the infection of SVCV and other Rhabdoviridae members in host fish.