bluuebunny/crossref_metadata_2025_split huggingface dataset:
Healthy working in inclusive companies – a study protocol of the GAIN project
Authors: Holzgreve Fabian , Bredereck Bettina , Heim Christopher , Weber Britta , Ellegast Rolf , Groneberg David A. , Gaum Christian , Ohlendorf Daniela 
Published: December 2023

Abstract
Background
The research project GAIN (working healthy in inclusion companies) deals with the topics of health and work in inclusive companies. Due to a great need for research on (occupational) health (e.g. physical and mental health status) and workplace design in companies employing people with disabilities, this project pursues the primary goal of generating information for the development and implementation of health-preserving measures within the framework of occupational health and safety, and risk assessment, for employees with and without impairments in inclusive companies.

Methods
Within the framework of the project, the employees of three inclusive companies will be examined with the help of an interdisciplinary and triangulative approach. Using quantitative and qualitative methods, specific physical workloads and hazards will be investigated by means of baseline screening methods and measurement techniques, specifically among employees with physical disabilities and impairments. In the statistical analysis, descriptive methods will be used to record the current state, while inferential statistical methods will be used to evaluate health maintenance measures. Inferential statistics for continuous data with confidence intervals based on the statistical parametric mapping (SPM) method will also be performed. The significance level will be set at 5%. Qualitative methods will be used to analyse structures and working conditions within the companies, with particular attention to the specific construction of the relationship between work, health and disability.

Conclusions
The structures in inclusion companies must be specifically designed to support and promote the understanding of work and health in relation to the idea of one’s own body, its positioning in space and its performance. These characteristics are to be identified in the course of the project and bundled into best-practice recommendations. Furthermore, it is the aim of the research project to derive recommendations for action at its conclusion and to present further advice for the promotion of health in inclusive companies.
Pulmonary function assessment after COVID-19 in vaccinated healthcare workers
Authors: Ippoliti Lorenzo , Coppeta Luca , Somma Giuseppina , Bizzarro Giuseppe , Borelli Francesco , Crispino Teresa , Ferrari Cristiana , Iannuzzi Ilaria , Mazza Andrea , Paolino Agostino , Magrini Andrea , Pietroiusti Antonio 
Published: December 2023

AbstractCOVID-19 typically presents with flu-like symptoms due to the viral infection itself. The most severe cases are characterised by lung damage, an important factor in fatal outcome due to alveolar damage. In some cases, patients develop a long COVID with persistent symptoms of chest pain and fatigue. Causes, including organ damage or inflammation, are being investigated. Clinical outcomes are variable and permanent lung damage is not fully understood, while vaccination is effective against severe infection but its effect on respiratory function in mild cases remains uncertain. This retrospective study aims to analyse changes in lung function in HCWs who had COVID-19 between 2020 and 2022, comparing their spirometric test results before and after the pandemic and taking into account their vaccination status. 321 HCWs were included in the study. The study examined spirometric parameters both before and after the pandemic, and all measured outcomes except the FEV1/FVC ratio showed a significant decrease during the study period. We then assessed the association between SARS-CoV-2 infection and changes in lung function parameters, analysing infections in 2020, 2021 and 2022 separately. We found a statistically significant difference in Forced vital capacity (FVC) between infected and non-infected subjects in 2020 and 2021, but not in 2022. To evaluate the protective effect of SARS-CoV-2 vaccination on respiratory function, a linear regression analysis was performed using changes in FVC, Forced expiratory volume in 1 s (FEV1), FVC/FEV1 ratio and Peak expiratory flow (PEF) as dependent variables. The analysis showed that the decline in FVC was significantly lower in subjects who had been vaccinated prior to infection. The study concludes that subclinical SARS-CoV-2 infections in 2020 and 2021 worsened respiratory parameters (FVC and FEV1), but vaccination protected against these effects. Even healthy individuals with previous infections showed respiratory changes, with vaccination providing protection, especially for FVC decline. This highlights the importance of vaccinating healthcare workers against COVID-19.
Multiscale protein networks systematically identify aberrant protein interactions and oncogenic regulators in seven cancer types
Authors: Song Won-Min , Elmas Abdulkadir , Farias Richard , Xu Peng , Zhou Xianxiao , Hopkins Benjamin , Huang Kuan-lin , Zhang Bin 
Published: December 2023

AbstractGlobal proteomic data generated by advanced mass spectrometry (MS) technologies can help bridge the gap between genome/transcriptome and functions and hold great potential in elucidating unbiased functional models of pro-tumorigenic pathways. To this end, we collected the high-throughput, whole-genome MS data and conducted integrative proteomic network analyses of 687 cases across 7 cancer types including breast carcinoma (115 tumor samples; 10,438 genes), clear cell renal carcinoma (100 tumor samples; 9,910 genes), colorectal cancer (91 tumor samples; 7,362 genes), hepatocellular carcinoma (101 tumor samples; 6,478 genes), lung adenocarcinoma (104 tumor samples; 10,967 genes), stomach adenocarcinoma (80 tumor samples; 9,268 genes), and uterine corpus endometrial carcinoma UCEC (96 tumor samples; 10,768 genes). Through the protein co-expression network analysis, we identified co-expressed protein modules enriched for differentially expressed proteins in tumor as disease-associated pathways. Comparison with the respective transcriptome network models revealed proteome-specific cancer subnetworks associated with heme metabolism, DNA repair, spliceosome, oxidative phosphorylation and several oncogenic signaling pathways. Cross-cancer comparison identified highly preserved protein modules showing robust pan-cancer interactions and identified endoplasmic reticulum-associated degradation (ERAD) and N-acetyltransferase activity as the central functional axes. We further utilized these network models to predict pan-cancer protein regulators of disease-associated pathways. The top predicted pan-cancer regulators including RSL1D1, DDX21 and SMC2, were experimentally validated in lung, colon, breast cancer and fetal kidney cells. In summary, this study has developed interpretable network models of cancer proteomes, showcasing their potential in unveiling novel oncogenic regulators, elucidating underlying mechanisms, and identifying new therapeutic targets.
Preclinical evaluation of Affibody molecule for PET imaging of human pancreatic islets derived from stem cells
Authors: Cheung Pierre , Thorngren Julia , Zhang Bo , Vasylovska Svitlana , Lechi Francesco , Persson Jonas , Ståhl Stefan , Löfblom John , Korsgren Olle , Eriksson Jonas , Lau Joey , Eriksson Olof 
Published: December 2023

Abstract
Background
Beta-cell replacement methods such as transplantation of isolated donor islets have been proposed as a curative treatment of type 1 diabetes, but widespread application is challenging due to shortages of donor tissue and the need for continuous immunosuppressive treatments. Stem-cell-derived islets have been suggested as an alternative source of beta cells, but face transplantation protocols optimization difficulties, mainly due to a lack of available methods and markers to directly monitor grafts survival, as well as their localization and function. Molecular imaging techniques and particularly positron emission tomography has been suggested as a tool for monitoring the fate of islets after clinical transplantation. The integral membrane protein DGCR2 has been demonstrated to be a potential pancreatic islet biomarker, with specific expression on insulin-positive human embryonic stem-cell-derived pancreatic progenitor cells. The candidate Affibody molecule ZDGCR2:AM106 was radiolabeled with fluorine-18 using a novel click chemistry-based approach. The resulting positron emission tomography tracer [18F]ZDGCR2:AM106 was evaluated for binding to recombinant human DGCR2 and cryosections of stem-cell-derived islets, as well as in vivo using an immune-deficient mouse model transplanted with stem-cell-derived islets. Biodistribution of the [18F]ZDGCR2:AM106 was also assessed in healthy rats and pigs.

Results
[18F]ZDGCR2:AM106 was successfully synthesized with high radiochemical purity and yield via a pretargeting approach. [18F]ZDGCR2:AM106 retained binding to recombinant human DCGR2 as well as to cryosectioned stem-cell-derived islets, but in vivo binding to native pancreatic tissue in both rat and pig was low. However, in vivo uptake of [18F]ZDGCR2:AM106 in stem-cell-derived islets transplanted in the immunodeficient mice was observed, albeit only within the early imaging frames after injection of the radiotracer.

Conclusion
Targeting of DGCR2 is a promising approach for in vivo detection of stem-cell-derived islets grafts by molecular imaging. The synthesis of [18F]ZDGCR2:AM106 was successfully performed via a pretargeting method to label a site-specific covalently bonded fluorine-18 to the Affibody molecule. However, the rapid washout of [18F]ZDGCR2:AM106 from the stem-cell-derived islets graft indicates that dissociation kinetics can be improved. Further studies using alternative binders of similar classes with improved binding potential are warranted.
Effects of enhanced adsorption haemofiltration versus haemoadsorption in severe, refractory septic shock with high levels of endotoxemia: the ENDoX bicentric, randomized, controlled trial
Authors: Wendel-Garcia Pedro David , Eberle Barbara , Kleinert Eva-Maria , Hilty Matthias Peter , Blumenthal Stephan , Spanaus Katharina , Fodor Patricia , Maggiorini Marco 
Published: December 2023

Abstract
Background
Endotoxin adsorption is a promising but controversial therapy in severe, refractory septic shock and conflicting results exist on the effective capacity of available devices to reduce circulating endotoxin and inflammatory cytokine levels.

Methods
Multiarm, randomized, controlled trial in two Swiss intensive care units, with a 1:1:1 randomization of patients suffering severe, refractory septic shock with high levels of endotoxemia, defined as an endotoxin activity ≥ 0.6, a vasopressor dependency index ≥ 3, volume resuscitation of at least 30 ml/kg/24 h and at least single organ failure, to a haemoadsorption (Toraymyxin), an enhanced adsorption haemofiltration (oXiris) or a control intervention. Primary endpoint was the difference in endotoxin activity at 72-h post-intervention to baseline. In addition, inflammatory cytokine, vasopressor dependency index and SOFA-Score dynamics over the initial 72 h were assessed inter alia.

Results
In the 30, out of 437 screened, randomized patients (10 Standard of care, 10 oXiris, 10 Toraymyxin), endotoxin reduction at 72-h post-intervention-start did not differ among interventions (Standard of Care: 12 [1–42]%, oXiris: 21 [10–51]%, Toraymyxin: 23 [10–36]%, p = 0.82). Furthermore, no difference between groups could be observed neither for reduction of inflammatory cytokine levels (p = 0.58), nor for vasopressor weaning (p = 0.95) or reversal of organ injury (p = 0.22).

Conclusions
In a highly endotoxemic, severe, refractory septic shock population neither the Toraymyxin adsorber nor the oXiris membrane could show a reduction in circulating endotoxin or cytokine levels over standard of care.
Trial registration ClinicalTrials.gov. NCT01948778. Registered August 30, 2013. https://clinicaltrials.gov/study/NCT01948778
Mechanical Properties of Concrete Produced with Coarse Aggregates from Different Mineralogical Origins Using Ultrasonic Tests
Authors: da Silva Rodrigo Rogerio Cerqueira , Gonçalves Raquel , Bertoldo Cinthya 
Published: December 2023

AbstractThe use of nondestructive techniques in the technological control of concrete allows to evaluate and monitor the condition of the material without interfering with its properties; therefore, it is highly desirable in on-site inspections. Among these techniques, ultrasonic testing stands out as one of the most promising by its speed and simplicity to obtain results. However, inferences of strength and stiffness properties using ultrasound parameters should be made with caution, since many factors may interfere with wave propagation. This research aimed to evaluate the behavior of parameters obtained by ultrasonic testing (velocity of wave propagation [V] and stiffness coefficient [C = density × V2]) as predictors of the strength (fc) and stiffness (Eci) of concrete produced with coarse aggregates from different mineralogical origins. To achieve the objective, 128 specimens were produced with four aggregate mineralogical origins and four water-cement ratios, with 8 replications each. The ultrasonic tests were performed with two-frequency transducers (45 and 80 kHz). Prediction models of fc and Eci were statistically significant (P-value < 0,05) for both frequencies. The model using [C] as independent variable present better correlation with Eci (R2 > 91,2%) and with fc (R2 > 82%) than the model using only [V]. General regression models (regardless of the gravel type) were also statistically significant (P-value < 0.05), with R2 > 79% and prediction errors higher than those obtained for the specific models for different rock types.
Machine learning based prediction of recurrence after curative resection for rectal cancer
Authors: Jeon Youngbae , Kim Young-Jae , Jeon Jisoo , Nam Kug-Hyun , Hwang Tae-Sik , Kim Kwang-Gi , Baek Jeong-Heum 
Published: December 2023

Purpose
Patients with rectal cancer without distant metastases are typically treated with radical surgery. Post curative resection, several factors can affect tumor recurrence. This study aimed to analyze factors related to rectal cancer recurrence after curative resection using different machine learning techniques.

Methods
Consecutive patients who underwent curative surgery for rectal cancer between 2004 and 2018 at Gil Medical Center were included. Patients with stage IV disease, colon cancer, anal cancer, other recurrent cancer, emergency surgery, or hereditary malignancies were excluded from the study. The Synthetic Minority Oversampling Technique with Tomek link (SMOTETomek) technique was used to compensate for data imbalance between recurrent and no-recurrent groups. Four machine learning methods, logistic regression (LR), support vector machine (SVM), random forest (RF), and Extreme gradient boosting (XGBoost), were used to identify significant factors. To overfit and improve the model performance, feature importance was calculated using the permutation importance technique.

Results
A total of 3320 patients were included in the study. After exclusion, the total sample size of the study was 961 patients. The median follow-up period was 60.8 months (range:1.2–192.4). The recurrence rate during follow-up was 13.2% (n = 127). After applying the SMOTETomek method, the number of patients in both groups, recurrent and non-recurrent group were equalized to 667 patients. After analyzing for 16 variables, the top eight ranked variables {pathologic Tumor stage (pT), sex, concurrent chemoradiotherapy, pathologic Node stage (pN), age, postoperative chemotherapy, pathologic Tumor-Node-Metastasis stage (pTNM), and perineural invasion} were selected based on the order of permutational importance. The highest area under the curve (AUC) was for the SVM method (0.831). The sensitivity, specificity, and accuracy were found to be 0.692, 0.814, and 0.798, respectively. The lowest AUC was obtained for the XGBoost method (0.804), with a sensitivity, specificity, and accuracy of 0.308, 0.928, and 0.845, respectively. The variable with highest importance was pT as assessed through SVM, RF, and XGBoost (0.06, 0.12, and 0.13, respectively), whereas pTNM had the highest importance when assessed by LR (0.05).

Conclusions
In the current study, SVM showed the best AUC, and the most influential factor across all machine learning methods except LR was found to be pT. The rectal cancer patients who have a high pT stage during postoperative follow-up are need to be more close surveillance.
Assustadoramente normais
Authors: Diogo João Emanuel 
Published: December 2023

Pensar a Segunda Grande Guerra Mundial implica pensar em dois tipos de guerra. A primeira implica sobretudo a soberania do espaço exterior. No plano da “outra” guerra as necessidades eram outras e bem dentro dos limites do espaço conquistado ou mesmo do espaço alemão que tal guerra se tornaria eficaz. Estas guerras tinham dois objetivos distintos: por um lado, o imperialismo alemão queria o espaço; por outro, o antissemitismo, que pretendia (além da confiscação de bens – e por isso fortuna) a eliminação física de populações específicas (não só os judeus, como ciganos, homossexuais, doentes mentais, idosos terminais, etc.).
O campo de concentração Auschwitz adquiriu uma capacidade simbólica, sendo considerado como o maior exemplo do mal moral, como Lisboa (o terramoto de Lisboa) tinha sido do mal natural. Ao contrário do que muitas vezes queremos admitir Hitler, e todos aqueles que participaram na Shoah eram homens comuns. Tinham as mesmas qualidades e defeitos que nós. E mais do que a inumanidade, o que está ali expresso é uma faceta da humanidade que muitas vezes gostamos de não ver.
Existem imensos exemplos de homens comuns: como Franz Stangl, que participa em tantos assassínios de judeus e as formas de justificação que ele levanta para si mesmo e para os que o rodeiam são também elas banais; ou do autêntico quebra-cabeças do julgamento de Eichmman; ou ainda de Hoess, o construtor de Auschwitz. Eles próprios se tinham nessa pouca conta.
Synergic effect of Arbuscular mycorrhizal fungi and potassium fertilizer improves biomass-related characteristics of cocoa seedlings to enhance their drought resilience and field survival
Authors: Kwashie Godswill K. S. , Kaba James S. , Appiah-Kubi Zippora , Abunyewa Akwasi A. , Asare Alberta Y. , Agyei Ernest K. , Muhammed Hajara 
Published: December 2023

Abstract
Drought is the most widespread threat to cocoa production. We assessed the combined effect of arbuscular mycorrhizal fungi (AMF) and potassium fertilizer on cocoa drought resilience and survival at the nursery to 2 years after transplanting to field. Nursery and field experiments were conducted at the FRNR farm (6°43N and 1°36W), Ghana, from 2020 to 2022. A 3 × 3 × 2 factorial experiment in a RCBD with three varieties of cocoa (CRG8914

×

\times

PA150; AMAZ315–15

×

\times

EQX78; PA150

×

\times

CRG 0314: V1; V2; V3 respectively), potassium (0, 2, and 4 g/plant), and mycorrhizal spore treatment (non-AMF and AMF inoculated) was used. Soil from the cocoa rhizosphere was collected and the wet sieving, decantation, and sucrose centrifugation techniques were used for the isolation of AMF. Rhizophagus irregularis was identified using the morphological method. The identified inoculum was prepared using the trap culture technique. K levels with AMF recorded the highest plant height (50.27 cm) than the non-AMF seedlings (41.4 cm). 2 g K × AMF in V1 and V2 had the highest (p < 0.05) above-ground (5.13 g) and below-ground (2.81 g) biomass, respectively. At 24 months, V1 × 0 g and V3 × 4 g without AMF had mortality of 60% and 50%, respectively, while V1 × 4 g and V2 × 2 g with AMF had 2% mortality rate. In conclusion, this has implications for cocoa nutrient management, yield, and climate-smart strategies for the attainment of Sustainable Development Goal 13 (climate Action).
Prophylactic oral application of resveratrol to alleviate acute campylobacteriosis in human gut microbiota associated IL-10−/− mice
Authors: Heimesaat Markus M. , Schabbel Niklas , Langfeld Luis Q. , Shayya Nizar W. , Mousavi Soraya , Bereswill Stefan 
Published: December 2023

AbstractHuman infections with the food-borne zoonotic enteropathogen Campylobacter jejuni are increasing globally. Since multi-drug resistant bacterial strains are further on the rise, antibiotic-independent measures are needed to fight campylobacteriosis. Given its anti-microbial and anti-inflammatory properties the polyphenolic compound resveratrol constitutes such a promising candidate molecule. In our present placebo-controlled intervention trial, synthetic resveratrol was applied perorally to human gut microbiota-associated (hma) IL-10−/− mice starting a week before oral C. jejuni infection. Our analyses revealed that the resveratrol prophylaxis did not interfere with the establishment of C. jejuni within the murine gastrointestinal tract on day 6 post-infection, but alleviated clinical signs of campylobacteriosis and resulted in less distinct colonic epithelial apoptosis. Furthermore, oral resveratrol dampened C. jejuni-induced colonic T and B cell responses as well as intestinal secretion of pro-inflammatory mediators including nitric oxide, IL-6, TNF-α, and IFN-γ to basal levels. Moreover, resveratrol application was not accompanied by significant shifts in the colonic commensal microbiota composition during campylobacteriosis in hma IL-10−/− mice. In conclusion, our placebo-controlled intervention study provides evidence that prophylactic oral application of resveratrol constitutes a promising strategy to alleviate acute campylobacteriosis and in consequence, to reduce the risk for post-infectious autoimmune sequelae.