bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ventral hernia repair in India: a Delphi consensus
Authors: Chowbey P. , Wadhawan R. , Subramanian D. , Bhandarkar D. , Gandhi J. , Kumari K. L. , Baijal M. , Khetan M. , Kathalagiri M. S. , Khandelwal P. , Lal P. , Dasgupta P. , Balachandran P. , Dave S. , Baig S. J. , Soni V. 
Published: May 2024

Abstract
Purpose
While research on inguinal hernias is well-documented, ventral/incisional hernias still require investigation. In India, opinions on laparoscopic ventral hernia repair (LVHR) techniques are contested. The current consensus aims to standardize LVHR practice and identify gaps and unfulfilled demands that compromise patient safety and therapeutic outcomes.

Methods
Using the modified Delphi technique, panel of 14 experts (general surgeons) came to a consensus. Two rounds of consensus were conducted online. An advisory board meeting was held for the third round, wherein survey results were discussed and the final statements were decided with supporting clinical evidence.

Results
Experts recommended intraperitoneal onlay mesh (IPOM) plus/trans-abdominal retromuscular/extended totally extraperitoneal/mini- or less-open sublay operation/transabdominal preperitoneal/trans-abdominal partial extra-peritoneal/subcutaneous onlay laparoscopic approach/laparoscopic intracorporeal rectus aponeuroplasty as valid minimal access surgery (MAS) options for ventral hernia (VH). Intraperitoneal repair technique is the preferred MAS procedure for primary umbilical hernia < 4 cm without diastasis; incisional hernia in the presence of a vertical single midline incision; symptomatic hernia, BMI > 40 kg/m2, and defect up to 4 cm; and for MAS VH surgery with grade 3/4 American Society of Anaesthesiologists. IPOM plus is the preferred MAS procedure for midline incisional hernia of width < 4 cm in patients with a previous laparotomy. Extraperitoneal repair technique is the preferred MAS procedure for L3 hernia < 4 cm; midline hernias < 4 cm with diastasis; and M5 hernia.

Conclusion
The consensus statements will help standardize LVHR practices, improve decision-making, and provide guidance on MAS in VHR in the Indian scenario.
Verbal learning in frontal patients: area 9 is critical for employing semantic strategies
Authors: Cocuzza Alessandro , Bertani Giulio , Conte Giorgio , Aiello Edoardo Nicolò , Zarino Barbara , Difonzo Teresa , Zago Stefano , Tariciotti Leonardo , Gendarini Claudia , Baratelli Elena , Verde Federico , Poletti Barbara , Ticozzi Nicola , Pluderi Mauro , Locatelli Marco , Comi Giacomo Pietro , Saetti Maria Cristina 
Published: May 2024

Abstract
Introduction
Learning is a long-term memory process heavily influenced by the control processes implemented by working memory, including recognition of semantic properties of items by which subjects generate a semantic structure of engrams.

Aim
The aim of this study is to investigate the verbal learning strategies of patients affected by a tumor in the left frontal lobe to highlight the role of area 9.

Method
Ten patients with frontal low-grade gliomas and ten healthy control subjects, matched for age, sex and education, were recruited and then evaluated with a two-part verbal learning test: multi-trial word list learning in free recall, and multi-trial word list learning preceded by an explicit semantic strategy cue. Frontal patients were divided into two groups: those either with frontal lesions involving or sparing area 9.

Results
In comparison to healthy control subjects, frontal patients with lesions involving area 9 memorized fewer words and displayed difficulty in using semantic strategies. When the strategy was suggested by the examiner, their performance improved, but to a lesser extent than the healthy control. Conversely, frontal patients with lesions sparing area 9 showed similar results to healthy control subjects.

Conclusion
The results suggested that, while the identification of the categorical criterion requires the integrity of the entire dorsolateral prefrontal area, only area 9, and not the surrounding areas, could be responsible for the effective use of semantic strategies in learning tasks.
Multiple sclerosis and COVID-19: a northern China survey
Authors: Guo Qian , Wang Tianwei , Huang Yusen , Wang Fangruyue , Hao Pingping , Fang Le 
Published: May 2024

Abstract
Background
There is insufficient data on severe acute respiratory syndrome coronavirus type-2 (SARS-CoV-2) infection in Chinese patients with multiple sclerosis (pwMS). This study aims to explore the manifestation of pwMS during the Coronavirus disease 2019 (COVID-19) pandemic and the effect of SARS-CoV-2 infection on the prognosis of MS in northern China.

Methods
In this cross-sectional study, an online self-administered questionnaire and telephone interviews were conducted among pwMS of northern China. Clinical correlation of SARS-CoV-2 infection since the onset of the COVID-19 pandemic in northern China was analyzed.

Results
164 patients with an average age of 38.9 ± 12.2 years were included, of which 57.3% had a disease course ≤ 5 years. 33.5% of the patients were COVID-19 vaccinated. 87.2% received disease-modifying therapy (DMT), and the average immunotherapy duration was 1.9 ± 1.6 years. 83.5% were SARS-CoV-2 infected, 14.6% reported worsening of their original condition after infection, and 5.1% had a relapse of MS. Shorter disease course was independently related to infection risk (P = 0.046), whereas increasing age was related to aggravated behavioral symptoms (P = 0.008). However, gender, vaccination, and DMT were not associated with susceptibility or poor prognosis.

Conclusion
A shorter disease course is independently associated with an increased risk of SARS-CoV-2 infection, and age is associated with worsening disability. It seems to be safe and necessary to use DMT during the pandemic, however, the use of B cell-depletion agents should be approached with caution.
Do institutions matter for citizens’ health status? Empirical evidence from Italy
Authors: Antonelli M. Alessandra , Marini Giorgia 
Published: May 2024

Abstract
This paper investigates the role of institutional quality in explaining cross-regional variation in population health status in Italy. We first introduce a composite Regional Health Status Indicator summarizing life expectancy, mortality and morbidity data. Then, we study the empirical relationship between this indicator and a set of socioeconomic, health system and institutional controls at the Italian regional level over the period of 2011–2019. We find that institutional quality is a driver of population health. Furthermore, well-functioning local institutions and regions compliant with national standards in terms of public healthcare services (Essential Levels of Care) make socioeconomic context no longer relevant for population health, potentially reducing inequalities.
IoTvulCode: AI-enabled vulnerability detection in software products designed for IoT applications
Authors: Bhandari Guru Prasad , Assres Gebremariam , Gavric Nikola , Shalaginov Andrii , Grønli Tor-Morten 
Published: May 2024

AbstractThe proliferation of the Internet of Things (IoT) paradigm has ushered in a new era of connectivity and convenience. Consequently, rapid IoT expansion has introduced unprecedented security challenges , among which source code vulnerabilities present a significant risk. Recently, machine learning (ML) has been increasingly used to detect source code vulnerabilities. However, there has been a lack of attention to IoT-specific frameworks regarding both tools and datasets. This paper addresses potential source code vulnerabilities in some of the most commonly used IoT frameworks. Hence, we introduce IoTvulCode - a novel framework consisting of a dataset-generating tool and ML-enabled methods for detecting source code vulnerabilities and weaknesses as well as the initial release of an IoT vulnerability dataset. Our framework contributes to improving the existing coding practices, leading to a more secure IoT infrastructure. Additionally, IoTvulCode provides a solid basis for the IoT research community to further explore the topic.
The quality of social relationships with students, mentor teachers and fellow student teachers and their role in the development of student teachers’ emotions in the practicum
Authors: Hagenauer Gerda , Raufelder Diana , Ivanova Mishela , Bach Andreas , Ittner Doris 
Published: May 2024

AbstractThe emotional well-being of individuals is largely dependent on the quality of their social relationships, as acknowledged by self-determination theory and the belongingness hypothesis. While the significance of high-quality relationships for teachers has received increasing attention in empirical research, little is known about the impact of social relationships on student teachers' emotions in the practicum, especially from a quantitative perspective and considering multiple relationship qualities simultaneously. Research on this topic is highly topical as emotions have been found to be important drivers both for professional behaviour in the classroom and professionalisation processes in general. Against this backdrop, our study examined how the quality of social relationships between students in class, mentor teachers, and fellow student teachers influences the development of emotional experiences of student teachers in a school practicum. We conducted an online survey with 203 Austrian student teachers studying secondary education, inquiring about their emotional experiences and social relationships before and after their practicum. The results revealed that the quality of relationships with students in class was the most influential factor determining changes in student teachers’ emotional states during their practicum. These findings emphasise the importance of cultivating positive relationships with students in the classroom, especially during the school practicum in teacher education.
Nano-sized natural organic matter interacts with bisphenol A and decreases cytotoxicity to human cells
Authors: Yao Sicong , Boguta Patrycja , Giolito Maria Virginia , Pontoni Ludovico , Sirakov Maria , Plateroti Michelina , Fabbricino Massimiliano 
Published: May 2024

AbstractWhile the toxicity of pollutants has been rather well explored in simple laboratory conditions, there is little knowledge on their real toxicity in natural environments and living organisms because pollutants are often interacting and trapped into organic matter. Because of these interactions, their real concentrations can also be underestimated. Here we studied the nature, intensity, and strength of the interactions between bisphenol A and nano-sized natural organic matter. The bioavailability and toxicity of the complexed bisphenol A were tested with human colon adenocarcinoma cell lines. Results show that that interaction of bisphenol A with organic matter reduces bisphenol A cytotoxicity. Moreover, the bisphenol A-organic matter interaction is weak in the first hour then very stable after 24 h. Once formed, the bisphenol A-organic matter complex escapes detection and, as a consequence, the levels of pollutants in organic-rich media is most probably underestimated. The mechanism of interaction involves hydrophobic and π-stacking forces inside the core of nano-sized organic matter.
A review of deep learning methods for digitisation of complex documents and engineering diagrams
Authors: Jamieson Laura , Francisco Moreno-García Carlos , Elyan Eyad 
Published: May 2024

AbstractThis paper presents a review of deep learning on engineering drawings and diagrams. These are typically complex diagrams, that contain a large number of different shapes, such as text annotations, symbols, and connectivity information (largely lines). Digitising these diagrams essentially means the automatic recognition of all these shapes. Initial digitisation methods were based on traditional approaches, which proved to be challenging as these methods rely heavily on hand-crafted features and heuristics. In the past five years, however, there has been a significant increase in the number of deep learning-based methods proposed for engineering diagram digitalisation. We present a comprehensive and critical evaluation of existing literature that has used deep learning-based methods to automatically process and analyse engineering drawings. Key aspects of the digitisation process such as symbol recognition, text extraction, and connectivity information detection, are presented and thoroughly discussed. The review is presented in the context of a wide range of applications across different industry sectors, such as Oil and Gas, Architectural, Mechanical sectors, amongst others. The paper also outlines several key challenges, namely the lack of datasets, data annotation, evaluation and class imbalance. Finally, the latest development in digitalising engineering drawings are summarised, conclusions are drawn, and future interesting research directions to accelerate research and development in this area are outlined.
A ductile seismic design strategy for the cross-aisle direction of racking systems
Authors: Tsarpalis Dimitrios , Vamvatsikos Dimitrios , Natali Agnese , Morelli Francesco , Delladonna Filippo , Vantusso Emanuele 
Published: May 2024

AbstractDue to their lightness and simple connectivity, steel racking systems are typically considered as “low-dissipative” structures, which is reflected in the modern seismic codes by the absence of capacity design and the adoption of low behaviour factors. This limited capability of stress redistribution significantly increases the vulnerability of racks under beyond-design seismic hazards and raises the demand for more resilient designs. Along these lines, the proposed Plastic Ovalization Strategy (POS) attempts to increase the ductility of the individual upright frames comprising the cross-aisle direction of racks, and at the same time to preserve their low-cost and easy-to-assemble nature. This is achieved by tasking the bearing failure mechanism of the diagonal bolt hole to absorb seismic deformations, while capacity design is employed to keep the rest of the structure in the elastic zone. Following a detailed discussion on the motives and basic principles of the strategy, two high-rise racking systems are designed twice by professional engineers, once using standard approaches and then by additionally employing the proposed POS rules. Finally, the two design solutions are compared by conducting a comprehensive seismic assessment, which employs a phenomenological macro-model comprising elastic elements and nonlinear springs to simulate the bearing failure mechanism.
Chlorella vulgaris algae ameliorates chlorpyrifos toxicity in Nile tilapia with special reference to antioxidant enzymes and Streptococcus agalactiae infection
Authors: Tawfeek Walaa S. , Kassab Amina S. , Al-Sokary Eman T. , Abass Mona E. , Sherif Ahmed H. 
Published: May 2024

Abstract

Background
Chlorpyrifos (CPF) is a widely used pesticide in the production of plant crops. Despite rapid CPF biodegradation, fish were exposed to wastewater containing detectable residues. Recently, medicinal plants and algae were intensively used in aquaculture to replace antibiotics and ameliorate stress impacts.

Methods and results
An indoor experiment was conducted to evaluate the deleterious impacts of CPF pollution on Nile tilapia health and the potential mitigation role of Chlorella vulgaris algae. Firstly, the median lethal concentration LC50 − 72 h of CPF was determined to be 85.8 µg /L in Nile tilapia (35.6 ± 0.5 g body weight) at a water temperature of 27.5 °C. Secondly, fish were exposed to 10% of LC50 − 72 h for six weeks, and tissue samples were collected and examined every two weeks. Also, Nile tilapia were experimentally infected with Streptococcus agalactiae. Exposed fish were immunosuppressed expressed with a decrease in gene expressions of interleukin (IL) 1β, IL-10, and tumor necrosis factor (TNF)-α. Also, a decline was recorded in glutathione peroxidase (GPx), superoxide dismutase (SOD), and catalase (CAT) gene expression in the head kidney tissue. A high mortality rate (MR) of 100% was recorded in fish exposed to CPF for six weeks and challenged with S. agalactiae. Fish that received dietary C. vulgaris could restore gene expression cytokines and antioxidants compared to the control. After six weeks of CPF exposure, fish suffered from anemia as red blood cell count (RBCs), hemoglobin (Hb), and packed cell volume (PCV) significantly declined along with downregulation of serum total protein (TP), globulin (GLO), and albumin (ALB). Liver enzymes were significantly upregulated in fish exposed to CPF pollution, alanine aminotransferase (ALT) (42.5, 53.3, and 61.7 IU/L) and aspartate aminotransferase (AST) (30.1, 31.2, and 22.8) after 2, 4, and 6 weeks, respectively. On S. agalactiae challenge, high MR was recorded in Nile tilapia exposed to CPF (G3) 60%, 60%, and 100% in week 2, week 4, and week 6, and C. vulgaris provided a relative protection level (RPL) of 0, 14.29, and 20%, respectively.

Conclusions
It was concluded that CPF pollution induces immunosuppressed status, oxidative stress, and anemic signs in Nile tilapia. In contrast, C. vulgaris at a 50 g/kg fish feed dose could partially ameliorate such withdrawals, restoring normal physiological parameters.
The role of independent directors’ tenure and network in controlling real-earnings management practices
Authors: Asad Muhammad , Akbar Saeed , Mollah Sabur 
Published: May 2024

AbstractManipulating real activities is generally regarded as more damaging to a firm’s long-term growth and value than accrual-based manipulations. We consider this point of view and build on the agency theory framework for investigating the role of independent directors’ (INDs’) tenure and connection to several boards in controlling real-earnings management (REM) practices. We analyze a sample of UK listed non-financial companies over the period between 2005 and 2018. The potential endogeneity issue was controlled by the application of the two-step system-GMM estimations. The research findings suggest that REM was lower in those firms whose INDs were connected to several boards at a time. The findings also show that the association between INDs’ tenure and REM varied with the phases of their tenure. Directors in the early stage of their tenure are less effective at controlling REM, however, as their tenure grew, they generate better oversight over the management conduct, thereby reducing REM. Contrary to this, extended tenure is shown as positively associated with higher REM practices. The overall findings thus suggest that the board monitoring role protects the stakes of the shareholders by constraining REM when INDs have better expertise and rich information acquired through their presence on multiple boards—and when they have moderate board tenure, which is neither too short nor too long. We argue that due to the importance of the role of INDs in the current global scenario this study has policy implications.
Characterizing human postprandial metabolic response using multiway data analysis
Authors: Yan Shi , Li Lu , Horner David , Ebrahimi Parvaneh , Chawes Bo , Dragsted Lars O. , Rasmussen Morten A. , Smilde Age K. , Acar Evrim 
Published: May 2024

Abstract
Introduction
Analysis of time-resolved postprandial metabolomics data can improve our understanding of the human metabolism by revealing similarities and differences in postprandial responses of individuals. Traditional data analysis methods often rely on data summaries or univariate approaches focusing on one metabolite at a time.

Objectives
Our goal is to provide a comprehensive picture in terms of the changes in the human metabolism in response to a meal challenge test, by revealing static and dynamic markers of phenotypes, i.e., subject stratifications, related clusters of metabolites, and their temporal profiles.

Methods
We analyze Nuclear Magnetic Resonance (NMR) spectroscopy measurements of plasma samples collected during a meal challenge test from 299 individuals from the COPSAC2000 cohort using a Nightingale NMR panel at the fasting and postprandial states (15, 30, 60, 90, 120, 150, 240 min). We investigate the postprandial dynamics of the metabolism as reflected in the dynamic behaviour of the measured metabolites. The data is arranged as a three-way array: subjects by metabolites by time. We analyze the fasting state data to reveal static patterns of subject group differences using principal component analysis (PCA), and fasting state-corrected postprandial data using the CANDECOMP/PARAFAC (CP) tensor factorization to reveal dynamic markers of group differences.

Results
Our analysis reveals dynamic markers consisting of certain metabolite groups and their temporal profiles showing differences among males according to their body mass index (BMI) in response to the meal challenge. We also show that certain lipoproteins relate to the group difference differently in the fasting vs. dynamic state. Furthermore, while similar dynamic patterns are observed in males and females, the BMI-related group difference is observed only in males in the dynamic state.

Conclusion
The CP model is an effective approach to analyze time-resolved postprandial metabolomics data, and provides a compact but a comprehensive summary of the postprandial data revealing replicable and interpretable dynamic markers crucial to advance our understanding of changes in the metabolism in response to a meal challenge.
Postmortem metabolomics: influence of time since death on the level of endogenous compounds in human femoral blood. Necessary to be considered in metabolome study planning?
Authors: Steuer Andrea E. , Wartmann Yannick , Schellenberg Rena , Mantinieks Dylan , Glowacki Linda L. , Gerostamoulos Dimitri , Kraemer Thomas , Brockbals Lana 
Published: May 2024

Abstract
Introduction
The (un)targeted analysis of endogenous compounds has gained interest in the field of forensic postmortem investigations. The blood metabolome is influenced by many factors, and postmortem specimens are considered particularly challenging due to unpredictable decomposition processes.

Objectives
This study aimed to systematically investigate the influence of the time since death on endogenous compounds and its relevance in designing postmortem metabolome studies.

Methods
Femoral blood samples of 427 authentic postmortem cases, were collected at two time points after death (854 samples in total; t1: admission to the institute, 1.3–290 h; t2: autopsy, 11–478 h; median ∆t = 71 h). All samples were analyzed using an untargeted metabolome approach, and peak areas were determined for 38 compounds (acylcarnitines, amino acids, phospholipids, and others). Differences between t2 and t1 were assessed by Wilcoxon signed-ranked test (p < 0.05). Moreover, all samples (n = 854) were binned into time groups (6 h, 12 h, or 24 h intervals) and compared by Kruskal–Wallis/Dunn’s multiple comparison tests (p < 0.05 each) to investigate the effect of the estimated time since death.

Results
Except for serine, threonine, and PC 34:1, all tested analytes revealed statistically significant changes between t1 and t2 (highest median increase 166%). Unpaired analysis of all 854 blood samples in-between groups indicated similar results. Significant differences were typically observed between blood samples collected within the first and later than 48 h after death, respectively.

Conclusions
To improve the consistency of comprehensive data evaluation in postmortem metabolome studies, it seems advisable to only include specimens collected within the first 2 days after death.