bluuebunny/crossref_metadata_2025_split huggingface dataset:
Good manufacturing practice production of CD34+ progenitor-derived NK cells for adoptive immunotherapy in acute myeloid leukemia
Authors: de Jonge P. K. J. D. , van Hauten P. M. M. , Janssen L. D. , de Goede A. L. , Berrien-Elliott M. M. , van der Meer J. M. R. , Mousset C. M. , Roeven M. W. H. , Foster M. , Blijlevens N. , Hobo W. , Fehniger T. A. , Jansen J. H. , Schaap N. P. M. , Dolstra H. 
Published: July 2023

AbstractAllogeneic natural killer (NK) cell-based immunotherapy is a promising, well-tolerated adjuvant therapeutic approach for acute myeloid leukemia (AML). For reproducible NK cell immunotherapy, a homogenous, pure and scalable NK cell product is preferred. Therefore, we developed a good manufacturing practice (GMP)-compliant, cytokine-based ex vivo manufacturing process for generating NK cells from CD34+ hematopoietic stem and progenitor cells (HSPC). This manufacturing process combines amongst others IL15 and IL12 and the aryl hydrocarbon receptor antagonist StemRegenin-1 (SR1) to generate a consistent and active NK cell product that fits the requirements for NK cell immunotherapy well. The cell culture protocol was first optimized to generate NK cells with required expansion and differentiation capacity in GMP-compliant closed system cell culture bags. In addition, phenotype, antitumor potency, proliferative and metabolic capacity were evaluated to characterize the HSPC-NK product. Subsequently, seven batches were manufactured for qualification of the process. All seven runs demonstrated consistent results for proliferation, differentiation and antitumor potency, and preliminary specifications for the investigational medicinal product for early clinical phase trials were set. This GMP-compliant manufacturing process for HSPC-NK cells (named RNK001 cells) is used to produce NK cell batches applied in the clinical trial ‘Infusion of ex vivo-generated allogeneic natural killer cells in combination with subcutaneous IL2 in patients with acute myeloid leukemia’ approved by the Dutch Ethics Committee (EudraCT 2019-001929-27).
Safety and efficacy of LA-ERCP procedure following Roux-en-Y gastric bypass: a systematic review and meta-analysis
Authors: Saad Baraa , Nasser Maya , Matar Reem H. , Nakanishi Hayato , Tosovic Danijel , Than Christian A. , Taha-Mehlitz Stephanie , Taha Anas 
Published: July 2023

Abstract
Introduction
Rapid weight loss following Roux-en-Y gastric bypass surgery (RYGB) translates to an increased need for endoscopic retrograde cholangiopancreatography (ERCP) intervention. Laparoscopically Assisted Transgastric ERCP (LA-ERCP) has emerged to address the issue of accessing the excluded stomach. This study aims to evaluate the safety and efficacy of LA-ERCP procedure following RYGB.

Methods
The Cochrane, EMBASE, SCOPUS, MEDLINE, Daily and Epub databases were searched from inception to May 2022 using the PRISMA guidelines. Eligible studies reported participants older than 18 years who underwent the LA-ERCP procedure, following RYGB, and outcomes of patients.

Results
27 unique studies met the inclusion criteria with 1283 patients undergoing 1303 LA-ERCP procedures. 81.9% of the patients were female and the mean age was 52.18 ± 13.38 years. The rate of concurrent cholecystectomy was 33.6%. 90.9% of procedures were undertaken for a biliary indication. The mean time between RYGB and LA-ERCP was 89.19 months. The most common intervention performed during the LA-ERCP was a sphincterotomy (94.3%). Mean total operative time was 130.48 min. Mean hospital length of stay was 2.697 days. Technical success was 95.3%, while clinical success was 93.8%. 294 complications were recorded with a 20.6% complication rate. The most frequent complications encountered were pancreatitis (6.8%), infection (6.1%), bleeding (3.4%), and perforation (2.5%). Rate of conversion to open laparotomy was 7%.

Conclusion
This meta-analysis presents preliminary evidence to suggest the safety and efficacy of LA-ERCP procedure following RYGB. Further investigations are warranted to evaluate the long-term efficacy of this procedure using studies with long-term patient follow-up.
Text analysis of job offers for mismatch of educational characteristics to labour market demands
Authors: Beręsewicz Maciej , Cherniaiev Herman , Mantaj Andrzej , Pater Robert 
Published: July 2023

AbstractNowadays, the traditional ways of job seeking have become less popular than digital methods. Recruitment websites are more attractive to job seekers since they provide easy, convenient access to a greater number of job vacancies. The biggest disadvantage, however, is that job vacancies published online are often unstructured and confusing. Studies related to online job vacancies are usually restricted to a short duration and a small number of recruitment websites. Such studies frequently use proxies for skills and occupations, or aggregate them into wider groups. The aim of our research is to provide full educational characteristics of job vacancies in Poland and calculate a complete list of educational mismatches. We introduce an approach that includes stages of source selection; data collection; and extraction of occupations, qualifications, and skills. We describe difficulties with data scraping and ways to overcome them. Thanks to our large dataset, we are able to determine and describe the labour demand. We also show the results of a survey that estimates educational traits of the labour supply. To measure mismatch between education and labour supply and demand, we use structural compliance indices. The paper also offers a case study for chosen occupational groups. Our findings reveal the greatest mismatch is in education and job-related skills, with the least mismatch occurring between geographic regions.
Properties and Effects of a Drug-Loaded Haemostatic Sponge
Authors: Wang Lusha , Meng Jia , Jia Xujing , Wang Wei , Wang Jiayan , Huang Jibin , Wu Di , Zhang Xiuqiang , Xu Ming 
Published: July 2023

AbstractSome cases of chronic rhinosinusitis (CRS) require surgical treatment and postoperative nasal packing, but bleeding and adhesion are common complications after nasal surgery. Biodegradable drug-loaded implants hold great therapeutic options for the treatment of CRS, but little data are available regarding the properties and effects of a novel drug-loaded haemostatic sponge (DLHS) in the nasal cavity and sinus. In this study, in vitro and in vivo experiments were used to test the physicochemical properties and investigate the biocompatibility and effectiveness of DLHS. The results showed that DLHSs present outstanding porosity and liquid absorption capacity, which might enhance their haemostatic ability, and they possess sustained-release ability for drugs. Further clinical trials confirmed their clinical efficacy and safety, and there was no evidence of adrenal cortical suppression. This study demonstrates the safety and efficacy of a novel biodegradable drug-loaded sponge with the possibility of being used in CRS patients, and it may reduce inflammation and minimize adhesions via controlled local drug delivery without measurable systemic exposure.
Academic dishonesty and monitoring in online exams: a randomized field experiment
Authors: Alguacil Maite , Herranz-Zarzoso Noemí , Pernías José C. , Sabater-Grande Gerardo 
Published: July 2023

AbstractCheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test. With this aim in mind, we carried out a randomized field experiment using a simple video surveillance system through Google Meet during an online closed-book final exam of an Introduction to Microeconomics course. Given that all conditions except for webcam monitoring were identical, differences in between-subjects scores are attributed to academic dishonesty. After controlling for potential confounding factors, including gender, academic degree, instructor, previous score and whether students were repeaters or not, we found that those students who were proctored via webcam obtained statistically significant lower scores in the final exam than those who were not using this surveillance system with a low level of invasiveness. Inspection of the potential factors behind these differences in scores suggests that the poorer performance of proctored students is more related to academic dishonesty than to reasons involving anxiety or heterogeneity factors.
Synthesis and Retrofit of Multiperiod Heat Exchanger Networks Considering Heat Transfer Enhancement and Environmental Impact
Authors: Isafiade Adeniyi Jide 
Published: July 2023

AbstractHeat transfer enhancement has been used to achieve lower heat transfer area and reduced utility requirements in heat exchanger network synthesis problems involving retrofit. This paper presents a technique for implementing heat transfer enhancements in both grassroot and retrofit heat exchanger network synthesis problems involving multiperiod operations. For the grassroot scenario, the approach adopted involves extending the stage-wise superstructure model for multiperiod heat exchanger network synthesis to accommodate various options of tube-side and shell-side heat transfer enhancement techniques. The extended model is then applied to a retrofit scenario using the reduced superstructure synthesis approach. The results obtained demonstrate the benefits of heat transfer enhancement through reduced operating costs in the grassroot and retrofit scenarios. For the grassroot scenario, the operating and capital costs obtained in this paper are 12.3% and 20% lower than solutions obtained using conventional non-enhanced synthesis methods, while for the retrofit scenario, solutions which compare favourably with literature solutions, and which has the potential to be more environment friendly by virtue of lower energy utilisation, are obtained.
Predicting vehicle prices via quantum-assisted feature selection
Authors: Dollen David Von , Neukart Florian , Weimer Daniel , Bäck Thomas 
Published: July 2023

AbstractFeature selection is a technique used to reduce complexity and improve performance in regards to generalization, fit, and accuracy of prediction for machine learning models. A central challenge in this selection process is that the search over the space of features to find the subset of k optimal features is a known NP-Hard problem. In this work, we study metrics for encoding the combinatorial search as a binary quadratic model, such as Generalized Mean Information Coefficient and Pearson Correlation Coefficient in application to the underlying regression problem of price prediction. We compare predictive model performance in regards to leveraging quantum-assisted vs. classical subroutines for the search, using minimum redundancy maximal relevancy as the heuristic for our approach. We cross validate predictive models on a real world problem of price prediction, and show a performance improvement of mean absolute error scores for our quantum-assisted method $$(1471.02 \pm {135.6})$$

(
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vs. similar methodologies such as greedy selection $$(1707.2 \pm {168})$$

(
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)

, recursive feature elimination $$(1678.3 \pm {143.7})$$

(
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±

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, and all features $$(1546.2 \pm {154}$$

(
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±
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). Our findings show that by leveraging quantum assisted routines we find solutions which increase the quality of predictive model output while reducing the input dimensionality to the learning algorithm on synthetic and real-world data.
Institutionalizing health technology assessment in Ethiopia: seizing the window of opportunity
Authors: Erku Daniel , Walker Damian , Caruso Ana A. , Wubishet Befikadu , Assefa Yibeltal , Abera Samuel , Hailu Alemayehu , Scuffham Paul 
Published: July 2023

Abstract
Ethiopia’s commitment to achieving universal health coverage (UHC) requires an efficient and equitable health priority-setting practice. The Ministry of Health aims to institutionalize health technology assessment (HTA) to support evidence-based decision making. This commentary highlights key considerations for successful formulation, adoption, and implementation of HTA policies and practices in Ethiopia, based on a review of international evidence and published normative principles and guidelines. Stakeholder engagement, transparent policymaking, sustainable financing, workforce education, and political economy analysis and power dynamics are critical factors that need to be considered when developing a national HTA roadmap and implementation strategy. To ensure ownership and sustainability of HTA, effective stakeholder engagement and transparency are crucial. Regulatory embedding and sustainable financing ensure legitimacy and continuity of HTA production, and workforce education and training are essential for conducting and interpreting HTA. Political economy analysis helps identify opportunities and constraints for effective HTA implementation. By addressing these considerations, Ethiopia can establish a well-designed HTA system to inform evidence-based and equitable resource allocation toward achieving UHC and improving health outcomes.
The role of bilingualism in paired-associate and cross-situational word learning
Authors: Neveu Anne , Kaushanskaya Margarita 
Published: July 2023

AbstractIn adulthood, novel words are commonly encountered in the context of sequential language learning, and to a lesser extent, when learning a new word in one's native language. Paired-associate (PAL) and cross-situational word learning (CSWL) paradigms have been studied separately, under distinct theoretical umbrellas, limiting the understanding of the mechanisms underlying the learning process in each. We tested 126 monolinguals and 111 bilinguals on PAL and CSWL, manipulating familiarity and measuring verbal working memory. Results revealed highly similar learning performance across groups, both demonstrating better performance in PAL than in CSWL, similar sensitivity to familiarity, and similar reliance on phonological working memory. We observed a trend such that bilinguals outperformed monolinguals in PAL but not in CSWL, but this trend was weak. Findings indicate limited effects of bilingualism on word learning in adulthood and suggest highly similar word learning mechanisms in learners with different linguistic experiences.
Capturing (Optimal) Relaxed Plans with Stable and Supported Models of Logic Programs
Authors: RANKOOH MASOOD FEYZBAKHSH , JANHUNEN TOMI 
Published: July 2023

AbstractWe establish a novel relation between delete-free planning, an important task for the AI planning community also known as relaxed planning, and logic programming. We show that given a planning problem, all subsets of actions that could be ordered to produce relaxed plans for the problem can be bijectively captured with stable models of a logic program describing the corresponding relaxed planning problem. We also consider the supported model semantics of logic programs, and introduce one causal and one diagnostic encoding of the relaxed planning problem as logic programs, both capturing relaxed plans with their supported models. Our experimental results show that these new encodings can provide major performance gain when computing optimal relaxed plans, with our diagnostic encoding outperforming state-of-the-art approaches to relaxed planning regardless of the given time limit when measured on a wide collection of STRIPS planning benchmarks.
The Effect of Genetic Predisposition to Alzheimer’s Disease and Related Traits on Recruitment Bias in a Study of Cognitive Aging
Authors: Gomez Lina M. , Mitchell Brittany L. , McAloney Kerrie , Adsett Jessica , Garden Natalie , Wood Madeline , Diaz-Torres Santiago , Garcia-Marin Luis M. , Breakspear Michael , Martin Nicholas G. , Lupton Michelle K. 
Published: July 2023

AbstractThe recruitment of participants for research studies may be subject to bias. The Prospective Imaging Study of Ageing (PISA) aims to characterize the phenotype and natural history of healthy adult Australians at high future risk of Alzheimer’s disease (AD). Participants approached to take part in PISA were selected from existing cohort studies with available genomewide genetic data for both successfully and unsuccessfully recruited participants, allowing us to investigate the genetic contribution to voluntary recruitment, including the genetic predisposition to AD. We use a polygenic risk score (PRS) approach to test to what extent the genetic risk for AD, and related risk factors predict participation in PISA. We did not identify a significant association of genetic risk for AD with study participation, but we did identify significant associations with PRS for key causal risk factors for AD, IQ, household income and years of education. We also found that older and female participants were more likely to take part in the study. Our findings highlight the importance of considering bias in key risk factors for AD in the recruitment of individuals for cohort studies.
A Bayesian Formulation for Estimating the Composition of Earth's Crust
Authors: Pease Gailin , Gelb Anne , Lee Yoonsang , Keller Brenhin 
Published: July 2023

AbstractDue to the inaccessibility of Earth's deep interior, geologists have long attempted to estimate the composition of the continental crust from its seismic properties. Despite numerous sources of error including nonuniqueness in the mapping between composition and seismic properties, the corresponding uncertainties have typically been estimated qualitatively at best. We propose a Bayesian approach that uses mineralogical modeling to combine prior knowledge about the composition of the crust with seismic data to give a posterior distribution of the predicted composition at any location, combined with a Monte Carlo simulation to estimate the average composition of the Earth's crust. Our approach yields an estimated composition of 59.5% silica in the upper crust (90% credible interval 58.9 %–60.1%), 57.9% in the middle crust (90% credible interval 57.2%–58.6%), and 53.6% in the lower crust (90% credible interval 53.0%–54.2%). Our estimate exhibits less compositional stratification over depth and a more intermediate composition in the upper and middle crust than previous estimates. Testing our approach on a simulated crust reveals the importance of prior assumptions in estimating the composition of the crust from its seismic properties, and suggests that future work should focus on quantifying those assumptions.
CAMK2D: a novel molecular target for BAP1-deficient malignant mesothelioma
Authors: Karnan Sivasundaram , Ota Akinobu , Murakami Hideki , Rahman Md. Lutfur , Wahiduzzaman Md , Hasan Muhammad Nazmul , Vu Lam Quang , Hanamura Ichiro , Inoko Akihito , Riku Miho , Ito Hideaki , Kaneko Yoshifumi , Hyodo Toshinori , Konishi Hiroyuki , Tsuzuki Shinobu , Hosokawa Yoshitaka 
Published: July 2023

AbstractMalignant mesothelioma (MMe) is a rare but aggressive malignancy. Although the molecular genetics of MMe is known, including BRCA1-associated protein-1 (BAP1) gene alterations, the prognosis of MMe patients remains poor. Here, we generated BAP1 knockout (BAP1-KO) human mesothelial cell clones to develop molecular-targeted therapeutics based on genetic alterations in MMe. cDNA microarray and quantitative RT-PCR (qRT-PCR) analyses revealed high expression of a calcium/calmodulin-dependent protein kinase type II subunit delta (CAMK2D) gene in the BAP1-KO cells. CAMK2D was highly expressed in 70% of the human MMe tissues (56/80) and correlated with the loss of BAP1 expression, making it a potential diagnostic and therapeutic target for BAP1-deficient MMe. We screened an anticancer drugs library using BAP1-KO cells and successfully identified a CaMKII inhibitor, KN-93, which displayed a more potent and selective antiproliferative effect against BAP1-deficient cells than cisplatin or pemetrexed. KN-93 significantly suppressed the tumor growth in mice xenografted with BAP1-deficient MMe cells. This study is the first to provide a potential molecular-targeted therapeutic approach for BAP1-deficient MMe.
Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study
Authors: Guarnieri Lopez Manuel , Matthes Katarina L , Sob Cynthia , Bender Nicole , Staub Kaspar 
Published: July 2023

Abstract
Background
3D laser-based photonic scanners are increasingly used in health studies to estimate body composition. However, too little is known about whether various 3D body scan measures estimate body composition better than single standard anthropometric measures, and which body scans best estimate it. Furthermore, little is known about differences by sex and age.

Methods
105 men and 96 women aged between 18 and 90 years were analysed. Bioelectrical Impedance Analysis was used to estimate whole relative fat mass (RFM), visceral adipose tissue (VAT) and skeletal muscle mass index (SMI). An Anthroscan VITUSbodyscan was used to obtain 3D body scans (e.g. volumes, circumferences, lengths). To reduce the number of possible predictors that could predict RFM, VAT and SMI backward elimination was performed. With these selected predictors linear regression on the respective body compositions was performed and the explained variations were compared with models using standard anthropometric measurements (Body Mass Index (BMI), waist circumference (WC) and waist-to-height-ratio (WHtR)).

Results
Among the models based on standard anthropometric measures, WC performed better than BMI and WHtR in estimating body composition in men and women. The explained variations in models including body scan variables are consistently higher than those from standard anthropometrics models, with an increase in explained variations between 5% (RFM for men) and 10% (SMI for men). Furthermore, the explained variation of body composition was additionally increased when age and lifestyle variables were added. For each of the body composition variables, the number of predictors differed between men and women, but included mostly volumes and circumferences in the central waist/chest/hip area and the thighs.

Conclusions
3D scan models performed better than standard anthropometric measures models to predict body composition. Therefore, it is an advantage for larger health studies to look at body composition more holistically using 3D full body surface scans.
Impact of climate risk materialization and ecological deterioration on house prices in Mar Menor, Spain
Authors: Lamas Rodríguez Matías , Garcia Lorenzo Mari Luz , Medina Magro Manuel , Perez Quiros Gabriel 
Published: July 2023

AbstractThe frequency and severity of extreme events related to climate change have intensified worldwide in the last decades. It is documented that increasing extreme rainfall and flooding cause more nutrient runoff into waterbodies, initiating numerous harmful algal bloom (HAB) events, especially in fragile ecosystems. We analyze the dramatic economic damage of one of these episodes in Mar Menor, the largest salt-water lagoon in Europe. We show that when the public perceived the severity of environmental degradation, the return on housing investment was 43% lower in the surroundings than in similar neighboring zones 6 years after the HAB (2015). This represents a loss in housing wealth of more than 4000 million euros, around ten times the gains of changing from dry-farming to irrigated crops, which makes this ecosystem fragile. Hence, we quantify some of the economic consequences of ecological deterioration linked to episodes of Global Climate Change.