bluuebunny/crossref_metadata_2025_split huggingface dataset:
Time dependence of 137Cs contamination in wild Japanese monkeys after the Fukushima Daiichi nuclear accident
Authors: Hayama Shin-ichi , Tanaka Aki , Nakanishi Setsuko , Konno Fumiharu , Kawamoto Yoshi , Ochiai Kazuhiko , Omi Toshinori 
Published: October 2022

Abstract
Over the 10 years immediately after the Fukushima Daiichi nuclear accident, we measured the changes in the muscle 137Cs concentration (Bq/kg) of wild Japanese monkeys living in Fukushima City, which is located approximately 70 km from the Fukushima Daiichi Nuclear Power Plant. The muscle137Csconcentration, which was observed at a maximum of 13,500 Bq/kg immediately after the accident, had decreased to several hundred Bq/kg 10 years later. The muscle 137Cs concentration was significantly related to the soil contamination levels (10,000–30,000, 30,000–60,000, 60,000–100,000, and 100,000–300,000 Bq/m2), sex, age class (immature, mature), body weight (> 5000 g, 5000–10,000 g, < 10,000 g), and seasons (the cold period from December to April, the warm period from May to November).The value of muscle 137Cs concentration and the aggregated transfer factor (Tag: calculated by dividing muscle 137Cs concentration [Bq/kg] by soil 137Cs deposition density at the capture site [Bq/m2]) apparently decreased with time for several years. However, post hoc pairwise comparisons showed no difference from 2017 to 2020, and the accumulation of 137Cs in muscle may continue for some time.
Generic strategic profiling of entrepreneurial SMEs – environmentalism as hygiene factor
Authors: Dressler Marc 
Published: October 2022

AbstractClimate change, extreme weather phenomena, droughts, fires etc. are just few examples of man-induced impact, jeopardizing the future of mankind. Businesses are increasingly held responsible for and try to manage their environmental impact. Environmentalism and lately sustainability (manifesting an equal pursuit of environmental, social, and economic goals) guide strategic orientation. Whereas large corporations anchor environmentalism in their mission statements and strategic positioning, the strategic reflection of sustainability and especially environmentalism in the business models of small enterprises is less researched. Their entrepreneurship builds on exploiting environmental opportunities and is deemed characteristic for small enterprises, but a lower penetration of strategic instruments paired with a predominant opportunistic behaviour seem to characterize SME´s strategic environmentalism. In order to examine the entrepreneurial environmentalism and the strategic value for SMEs an empiric study leaned on population ecology. An online survey with 291 small enterprises explored environmentalism, strategic profiling, and performance impact in an agricultural and entrepreneurial industry. Study results manifest a positive performance impact of sustainability-oriented and thereby ecologic environmentalism. Ecologic environmental consciousness has been identified for all generic strategic groupings but it separates into two distinctive clusters, one with a process and one driven by market focus. Foremost, eco-centric strategic measures were identified as core levers to increase product quality – a promising finding that secures further strategic ecological environmentalism.
Dimensional measurements in the shipbuilding industry: on-site comparison of a state-of-the-art laser tracker, total station and laser scanner
Authors: Maisano Domenico A. , Mastrogiacomo Luca , Franceschini Fiorenzo , Capizzi Salvatore , Pischedda Gianandrea , Laurenza Daniele , Gomiero Giorgio , Manca Giuseppe 
Published: October 2022

AbstractThanks to recent technological innovations, some large-volume-metrology measuring instruments—that would have been considered out of context one/two decades ago—are now effective for the shipbuilding industry, where dimensional errors of a few millimetres are generally tolerated. This paper considers three state-of-the-art instruments: a laser tracker, a total station, and a laser scanner, all with the latest generation of technology. While the first instrument type has long been widespread for applications in industrial metrology, the last two have traditionally been used in other fields, such as as-built surveying, civil engineering, architecture and topography. Instruments are compared using experimental tests concerning the dimensional verification of cruise-ship modules in the relatively under-explored context of the construction of the hull, which represents the ship’s framework. The comparison is structured based on several qualitative and quantitative criteria, including but not limited to (i) simplicity of use for operator(s), (ii) time of acquisition/analysis of measurement data, (iii) metrological performance, and (iv) cost. The main contribution of this article is the on-site testing of instruments of interest, in the typical (unfavourable) working conditions of shipyards.
“It just Sends the Message that you’re Nothing but your body” a Qualitative Exploration of Adolescent Girls’ Perceptions of Sexualized Images on Social Media
Authors: Papageorgiou Alana , Fisher Colleen , Crossa Donna 
Published: October 2022

AbstractThis qualitative study used in-depth interviews to explore adolescent girls’ perceptions of sexualized images they typically find when using social media. Twenty-four participants aged 14–17 years described sexualized images of females as normalized on social media. The interplay between gendered and social norms that endorsed and rewarded girls for posting sexualized images was seen to influence an expectation for girls to conform with their peers and post such images of themselves. They indicated sexualized images emphasize personal value on appearance and rejected this notion. However, participants also believed girls should be able to post sexualized images of themselves if they wanted to. There were tensions between whether girls’ sharing of sexualized images of themselves on social media would be interpreted as a display of confidence (socially acceptable) or attention seeking (socially unacceptable). Findings provide guidance for the development of health promotion programs to reduce potential harm from social media use by adolescent girls.
Essential news of current guidelines: head and neck squamous cell carcinoma
Authors: Fuereder Thorsten 
Published: October 2022

SummarySquamous cell carcinoma of the head and neck (HNSCC) is the sixth most common cancer and accounts for 890.000 cases 450.000 deaths worldwide annually. HNSCC is a heterogeneous disease affecting mainly elderly patients, who frequently suffer from significant comorbidities. Due to the aggressive tumor biology and high recurrence rates after curative treatment, it is essential to follow the evidence-based treatment recommendations outlined in the international guidelines, although it has to be emphasized that relevant data gaps and controversies exist such as the role of induction chemotherapy, de-intensification strategies or the role of immunotherapy in the locally advanced and recurrent/metastatic setting. These topics will be addressed in this article. Most importantly, interdisciplinary management of HNSCC patients is key for the optimal management at all disease stages.
Exploring Dimensionality Reduction Techniques in Multilingual Transformers
Authors: Huertas-García Álvaro , Martín Alejandro , Huertas-Tato Javier , Camacho David 
Published: October 2022

AbstractIn scientific literature and industry, semantic and context-aware Natural Language Processing-based solutions have been gaining importance in recent years. The possibilities and performance shown by these models when dealing with complex Human Language Understanding tasks are unquestionable, from conversational agents to the fight against disinformation in social networks. In addition, considerable attention is also being paid to developing multilingual models to tackle the language bottleneck. An increase in size has accompanied the growing need to provide more complex models implementing all these features without being conservative in the number of dimensions required. This paper aims to provide a comprehensive account of the impact of a wide variety of dimensional reduction techniques on the performance of different state-of-the-art multilingual siamese transformers, including unsupervised dimensional reduction techniques such as linear and nonlinear feature extraction, feature selection, and manifold techniques. In order to evaluate the effects of these techniques, we considered the multilingual extended version of Semantic Textual Similarity Benchmark (mSTSb) and two different baseline approaches, one using the embeddings from the pre-trained version of five models and another using their fine-tuned STS version. The results evidence that it is possible to achieve an average reduction of $$91.58\% \pm 2.59\%$$

91.58
%
±
2.59
%

in the number of dimensions of embeddings from pre-trained models requiring a fitting time $$96.68\% \pm 0.68\%$$

96.68
%
±
0.68
%

faster than the fine-tuning process. Besides, we achieve $$54.65\% \pm 32.20\%$$

54.65
%
±
32.20
%

dimensionality reduction in embeddings from fine-tuned models. The results of this study will significantly contribute to the understanding of how different tuning approaches affect performance on semantic-aware tasks and how dimensional reduction techniques deal with the high-dimensional embeddings computed for the STS task and their potential for other highly demanding NLP tasks.
UNICADO: multidisciplinary analysis in conceptual aircraft design
Authors: Zimmnau Maurice , Schültke Florian , Stumpf Eike 
Published: October 2022

AbstractIn this paper, different iterative methods, so-called architectures, within the multidisciplinary analysis in conceptual aircraft design of the UNICADO software are elaborated, applied and analyzed. Possible execution sequences in the sequential method (Gauss-Seidel architecture) are derived via a graph-based algorithm in combination with expert knowledge. Sensitivities of the design disciplines are analyzed and a permitted residual for stable convergence characteristic for the aircraft design with UNICADO is derived. Prerequisites for the application of a parallel iterative method, the Jacobi architecture are conducted. Runtime and convergence characteristics of the Gauss-Seidel architecture and the Jacobi architecture are evaluated. A damping method is applied to the Jacobi architecture to enhance the convergence characteristics. The Gauss-Seidel and Jacobi architectures are used to design two different aircraft, the CSR and the CSMR, with an iteration accuracy of 2.5e–3. For these use cases studied, the Gauss-Seidel architecture converges more stably and faster than the Jacobi architecture and is, therefore, the more favorable. The aircraft design with the implemented Jacobi architecture oscillates and does not converge. Only with an implemented damping method, convergence is achieved. If the iteration time of the design loop increases, e.g., when using higher fidelity methods for aircraft design, the choice of architecture must be re-evaluated.
Work performance among healthcare workers with post COVID-19 syndrome and its relation to antibody response
Authors: Fouad Marwa Mohammed , Zawilla Nermin Hamdy , Maged Lobna Ahmed 
Published: October 2022

Abstract
Purpose
Health care workers (HCWs) are frontliners in facing Cornoravirus disease (COVID-19) and hence are amongst the high risk groups of acquiring COVID-19 infection. The impact of COVID-19 infection and post-infection sequelae on work performance has deleterious effects on HCWs and the whole community. The aim of the current study is to assess the impact of COVID-19 infection particularly those with post-COVID-19 syndrome on work performance among HCWs and to determine if a possible relationship with antibody response exists.

Methods
A sample of 69 previously PCR-positive health care workers matched to another group of 69 control PCR-negative health care workers from the same clinical departments were subjected to full medical history, clinical examination, measuring serum specific immunoglobulins against severe acute respiratory syndrome coronavirus 2 (SARSCoV-2), Health work performance questionnaire short form of absenteeism and presenteeism and Functional dysfunction grading questionnaire.

Results
The most frequently encountered symptom by patients with post-acute COVID-19 was fatigue while it was dyspnea for those who were chronic COVID patients. Patients with post-acute COVID-19 had a significantly longer time for PCR negative conversion and had a more severe disease. There was no association between post-acute COVID-19 and immunoglobulin positivity. COVID-19 syndrome had a negative impact on work performance manifested by lower relative presenteeism and lower month/year performance ratio (p < 0.001, p < 0.001). However comparing patients with post-COVID-19 syndrome to patients without the syndrome revealed no significant work performance difference between both groups.

Conclusion
COVID-19 syndrome negatively impacts work performance in HCWs manifested by lower relative presenteeism and lower month/year performance ratio. Although post-COVID-19 results resulted in higher levels of fatigue and functional limitation, it did not have a significant negative impact on work performance. Specific immunoglobulins against SARS CoV-2 were not associated with the post-COVID-19 syndrome.
A probabilistic perspective on nearest neighbor for implicit recommendation
Authors: Kelen Domokos M. , Benczúr Andras A. 
Published: October 2022

AbstractOver the past years, the recommender systems community invented several novel approaches that reached better and better prediction accuracy. Sequential recommendation, such as music recommendation, has seen large improvements from neural network-based models such as recurrent neural networks or transformers. When no sequential information is available or not relevant, such as for book, movie, or product recommendation, however, the classick-nearest neighbor algorithm appears to remain competitive, even when compared to much more sophisticated methods. In this paper, we attempt to explain the inner workings of the nearest neighbor using probabilistic tools, treating similarity as conditional probability and presenting a novel model for explaining and removing popularity bias. First, we provide a probabilistic formulation of similarity and the classic prediction formula. Second, by modeling user behavior as a combination of personal preference and global influence, we are able to explain the presence of popularity bias in the predictions. Finally, we utilize Bayesian inference to construct a theoretically grounded variant of the widely used inverse frequency scaling, which we use to mitigate the effect of popularity bias in the predictions. By replacing the formerly ad hoc choices of nearest neighbor with probabilistically founded counterparts, we are able to improve prediction accuracy over a variety of data sets and gain an increased understanding of the theory behind the method.
Bullying Interrupted: Victimized Students in Remote Schooling During the COVID-19 Pandemic
Authors: Repo Juuso , Herkama Sanna , Salmivalli Christina 
Published: October 2022

AbstractWe investigated how the transition to remote schooling during the COVID-19 pandemic affected the rates of bullying victimization among students in primary and lower secondary education and analyzed how a specific group of students, namely previously victimized students experienced remote schooling. The 2-month school lockdown offered a unique setting to explore the association between increasing Internet use and cyberbullying and reflect on the overlap between traditional bullying and cyberbullying in a new context. The main sample (n = 34 771) consisted of 10–16-year-old Finnish students who responded to an online survey during the remote schooling period in spring 2020. The sample was supplemented with data from two previous surveys conducted in the same schools in 2019 (n = 43,216) and in 2017 (n = 24,727). The prevalence of bullying victimization decreased substantially in all grade levels during the school lockdown. Physical isolation and surge in students’ Internet use did not seem to lead to an increase in cyberbullying. Before-lockdown victimized students evaluated the time in remote schooling more positively than expected: they reported relatively high school liking and more teacher support than other students. The pre-existing gap in school adjustment between victimized and non-victimized students did not increase, but surprisingly, decreased. Our results highlight the notion that the main arena to fight bullying is within in-person interactions in schools.
Building User‐Readiness for Satellite Earth Observing Missions: The Case of the Surface Water and Ocean Topography (SWOT) Mission
Authors: Hossain Faisal , Das Pritam , Srinivasan Margaret , Tsontos Vardis , Oaida Catalina M. , Nickles Cassandra , McNelis Jack , Bonnema Matthew , Picot Nicolas , Peña‐Luque Santiago , Doorn Bradley , Vinogradova‐Shiffer Nadya , Andral Alice , Gaultier Lucile , Jayaluxmi Indu , Zhu John , Fernando Nelun , Ul‐Hasan Faizan , Fatima Bareerah , Ahsan Mufeezah , Dhanya C. T. , Jayasinghe Susantha , Meechaiya Chinaporn , Barajas Miguel , Balakrishnan Vivek , Eldardiry Hisham , Elkholy Mohamed , Abdelrazek Ahmed , Fenoglio Luciana , Durand Mike , Wei Rui , Pavelsky Tamlin 
Published: October 2022

AbstractThe goal in this commentary is to share the development of the NASA Applied Science pre‐launch protocol called the Early Adopter Program (EAP) that is designed to build user‐readiness of planned satellite Earth observing missions proactively and before the launch. Here we focus in particular on the Surface Water and Ocean Topography satellite mission EAP as an illustration of benefits of such a program of proactive and sustained user community engagement. Such a commentary will be of value to other satellite Earth observation missions that are currently in service, scheduled for launch or prioritized for development in the near future.
Interstitial lung diseases after hematopoietic stem cell transplantation: New pattern of lung chronic graft-versus-host disease?
Authors: Archer Gabrielle , Berger Ingrid , Bondeelle Louise , de Margerie-Mellon Constance , Cassonnet Stéphane , de Latour Régis Peffault , Michonneau David , Chevret Sylvie , Bergeron Anne 
Published: October 2022

AbstractBronchiolitis obliterans syndrome (BOS) after allogeneic HSCT is the only formally recognized manifestation of lung chronic graft-versus-host disease (GVHD). Other lung complications were reported, including interstitial lung diseases (ILDs). Whether ILDs belong to the spectrum of lung cGVHD remains unknown. We compared characteristics and specific risk factors for both ILD and BOS. Data collected from consecutive patients diagnosed with ILD or BOS from 1981–2019 were analyzed. The strength of the association between patient characteristics and ILD occurrence was measured via odds ratios estimated from univariable logistic models. Multivariable models allowed us to handle potential confounding variables. Overall survival (OS) was estimated using the Kaplan-Meier method. 238 patients were included: 79 with ILD and 159 with BOS. At diagnosis, FEV1 was lower in patients with BOS compared to patients with ILD, while DLCO was lower in ILD. 84% of ILD patients received systemic corticosteroids, leading to improved CT scans and pulmonary function, whereas most BOS patients were treated by inhaled corticosteroids, with lung-function stabilization. In the multivariable analysis, prior thoracic irradiation and absence of prior treatment with prednisone were associated with ILD. OS was similar, even if hematological relapse was more frequent in the ILD group. Both complications occurred mainly in patients with GVHD history.
EGFL7 drives the evolution of resistance to EGFR inhibitors in lung cancer by activating NOTCH signaling
Authors: Wang Yubo , Chen Pu , Zhao Man , Cao Hongxin , Zhao Yuelei , Ji Meiju , Hou Peng , Chen Mingwei 
Published: October 2022

AbstractAccumulating evidence supports evolutionary trait of drug resistance. Like resilience in other systems, most tumor cells experience drug-tolerant state before full resistance acquired. However, the underlying mechanism is still poorly understood. Here, we identify that EGF like domain multiple 7 (EGFL7) is a responsive gene to epidermal growth factor receptor (EGFR) kinase inhibition during a period when tumors are decimated. Moreover, our data reveal that the adaptive increase of EGFL7 during this process is controlled by the depression of nonsense-mediated mRNA decay (NMD) pathway. Upregulation of EGFL7 activates NOTCH signaling in lung cancer cells, which slows down the decrease of c-Myc caused by EGFR inhibition, thereby helping the survival of cancer cells. Our data, taken together, demonstrate that EGFL7 is a driver gene for resistance to EGFR kinase inhibition, and suggest that targeting EGFL7/NOTCH signaling may improve the clinical benefits of EGFR inhibitors in patients with EGFR mutant tumors.
A novel BH3 mimetic Bcl-2 inhibitor promotes autophagic cell death and reduces in vivo Glioblastoma tumor growth
Authors: Calis Seyma , Dogan Berna , Durdagi Serdar , Celebi Asuman , Yapicier Ozlem , Kilic Turker , Turanli Eda Tahir , Avsar Timucin 
Published: October 2022

AbstractAnti-apoptotic members of the Bcl-2 family proteins play central roles in the regulation of cell death in glioblastoma (GBM), the most malignant type of brain tumor. Despite the advances in GBM treatment, there is still an urgent need for new therapeutic approaches. Here, we report a novel 4-thiazolidinone derivative BH3 mimetic, BAU-243 that binds to Bcl-2 with a high affinity. BAU-243 effectively reduced overall GBM cell proliferation including a subpopulation of cancer-initiating cells in contrast to the selective Bcl-2 inhibitor ABT-199. While ABT-199 successfully induces apoptosis in highBCL2-expressing neuroblastoma SHSY-5Y cells, BAU-243 triggered autophagic cell death rather than apoptosis in GBM A172 cells, indicated by the upregulation ofBECN1, ATG5, andMAP1LC3Bexpression. Lc3b-II, a potent autophagy marker, was significantly upregulated following BAU-243 treatment. Moreover, BAU-243 significantly reduced tumor growth in vivo in orthotopic brain tumor models when compared to the vehicle group, and ABT-199 treated animals. To elucidate the molecular mechanisms of action of BAU-243, we performed computational modeling simulations that were consistent with in vitro results. Our results indicate that BAU-243 activates autophagic cell death by disrupting the Beclin 1:Bcl-2 complex and may serve as a potential small molecule for treating GBM.
Microfluidic space coding for multiplexed nucleic acid detection via CRISPR-Cas12a and recombinase polymerase amplification
Authors: Xu Zhichen , Chen Dongjuan , Li Tao , Yan Jiayu , Zhu Jiang , He Ting , Hu Rui , Li Ying , Yang Yunhuang , Liu Maili 
Published: October 2022

AbstractFast, inexpensive, and multiplexed detection of multiple nucleic acids is of great importance to human health, yet it still represents a significant challenge. Herein, we propose a nucleic acid testing platform, named MiCaR, which couples a microfluidic device with CRISPR-Cas12a and multiplex recombinase polymerase amplification. With only one fluorescence probe, MiCaR can simultaneously test up to 30 nucleic acid targets through microfluidic space coding. The detection limit achieves 0.26 attomole, and the multiplexed assay takes only 40 min. We demonstrate the utility of MiCaR by efficiently detecting the nine HPV subtypes targeted by the 9-valent HPV vaccine, showing a sensitivity of 97.8% and specificity of 98.1% in the testing of 100 patient samples at risk for HPV infection. Additionally, we also show the generalizability of our approach by successfully testing eight of the most clinically relevant respiratory viruses. We anticipate this effective, undecorated and versatile platform to be widely used in multiplexed nucleic acid detection.