bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coordinating and programming multiple ROS-based robots with X-KLAIM
Authors: Bettini Lorenzo , Bourr Khalid , Pugliese Rosario , Tiezzi Francesco 
Published: November 2023

AbstractSoftware development for robotics applications is still a major challenge that becomes even more complex when considering multi-robot systems (MRSs). Such distributed software has to perform multiple cooperating tasks in a well-coordinated manner to avoid unsatisfactory emerging behavior. This paper provides an approach for programming MRSs at a high abstraction level using the programming language X-Klaim. The computation and communication model of X-Klaim, based on multiple distributed tuple spaces, permits coordinating with the same abstractions and mechanisms both intra- and inter-robot interactions of an MRS. This allows developers to focus on MRS behavior, achieving readable, reusable, and maintainable code. The proposed approach can be used in practice by integrating X-Klaim and the popular robotics framework ROS. We demonstrate the feasibility and effectiveness of our approach by (i) showing how it scales when implementing two warehouse scenarios allowing us to reuse most of the code when passing from the simpler to the more enriched scenario and (ii) presenting the results of a few experiments showing that our code introduces a slightly greater but acceptable latency and consumes less memory than the traditional ROS implementation based on Python code.
FAMOSES-Epilepsie-Schulungen in Zeiten der COVID-19-Pandemie
Authors: Hagemann Anne , von Pfeil Daniela , Pfäfflin Margarete 
Published: November 2023

Zusammenfassung
Hintergrund
Das modulare Schulungsprogramm FAMOSES (MOdulares Schulungsprogramm EpilepSie für FAmilien) bietet seit 20 Jahren Kindern mit Epilepsie und ihren Eltern die Möglichkeit, interaktiv Wissen über ihre Erkrankung und Bewältigungsstrategien zu erwerben.

Ziel der Arbeit
Es sollten die Auswirkungen der COVID-19-Pandemie auf FAMOSES-Schulungen in Bezug auf die Durchführbarkeit, Bewertungen durch die Trainerinnen und die Teilnehmerevaluation untersucht werden.

Material und Methoden
FAMOSES-Trainerinnen wurden mit dem neu entwickelten Fragebogen zu „Auswirkungen der Pandemie auf Epilepsieschulungen“ (PES) befragt. Für die Bewertung der Kurse durch die teilnehmenden Eltern und Kinder wurden die regulären Evaluationsbögen ausgewertet.

Ergebnisse
Die Zahl der durchgeführten Kurse war 2020 geringer als im Vor-Pandemie-Jahr 2019 (Eltern: p = 0,049, Kinder: p = 0,057) und stieg 2021 wieder etwas an. Die Planung war aus Sicht vieler Trainerinnen aufwendiger und unsicherer (z. B. durch Kursverbote, Zugangsbeschränkungen, Hygienekonzept). Es gab keine COVID-19-Ausbrüche im Zusammenhang mit den Kursen. Zur Bewertung der durchgeführten Kurse wurden sowohl positive als auch schwierige Aspekte genannt (z. B. lohnende Kurse, Familien/Eltern waren dankbar; anstrengendere Kurse, weniger locker, Mehrarbeit). Trotzdem hat sich die Einschätzung der Trainerinnen, „sehr gerne“ oder „gerne“ FAMOSES-Kurse durchzuführen, in den meisten Fällen (73 %) nicht durch die Pandemie geändert. Die Evaluation der Schulungen durch die teilnehmenden Eltern und Kinder zeigte während der Pandemie vergleichbare Bewertungen wie vor Pandemiebeginn.

Diskussion
Die Planung und Durchführung von FAMOSES-Schulungen ist während der COVID-19-Pandemie aufwendiger geworden. Die Schulungen, die durchgeführt wurden, sind von den Trainerinnen trotz kritischer Punkte vielfach positiv bewertet worden, und die Teilnehmerzufriedenheit war hoch.
Long-term effects and user acceptance of back-support exoskeletons in the workplace
Authors: Riemer Julia , Wischniewski Sascha 
Published: November 2023

AbstractThe aim of our study was to evaluate the long-term effects of back-support exoskeletons (BSEs) in occupational settings. Valuable insights were gained through repeated in-depth interviews with occupational safety professionals over a one-year period regarding the use and impact of BSEs over a one-year period. The results highlight a significant lack of user acceptance, primarily due to movement restrictions and discomfort. Passive BSEs (PassEXOs) were reported to be sometimes uncomfortable, restricting mobility and causing pressure point discomfort, while quasipassive soft BSEs (SoftEXO) received more positive feedback. In addition, factors such as proper fit, adjustability, hygiene maintenance, and the ease of donning and doffing were identified as key determinants of employee acceptance of BSEs. By gaining a deeper understanding of these factors, organisations can facilitate a successful and sustainable integration of BSE technology into the workplace.
Implementing Strategic Resilience Through Cooperation Projects with Start-ups: a Multiple Case Study
Authors: Dieterle Ann-Kathrin , Duchek Stephanie 
Published: November 2023

AbstractStrategic resilience is the capacity of organizations to proactively transform and renew through innovation to minimize the effects of unknown future crises. In this context, we know that cooperation plays an essential role as an external innovation strategy, and cooperation projects with start-ups related to innovation are one specific way to implement strategic change. However, research does not provide deeper insights into the process, outcomes, and success conditions of such projects. To help fill this research gap, we use the cases of two established firms using cooperation projects with start-ups related to innovation to enhance their strategic resilience. Based on an in-depth empirical investigation, we developed a framework that describes the specifics of those cooperation projects along their course (i.e., before cooperation, entry-phase into cooperation, during cooperation, and after cooperation) and resulting direct and indirect resilience benefits for the established firms. Thereby, the relationship quality (i.e., balance between formal and informal procedures, improvisation mindset, and appreciation and prioritization) turned out to be a central condition for resilience to emerge from those projects. Our framework illustrates how strategic resilience can arise from cooperation projects with start-ups related to innovation and which factors are particularly important in this context. It thus can be used as a guideline for the successful implementation of strategic resilience in practice as well as a basis for future research on the role of cooperation in strategic resilience.
Influence of polyolefin modified by Y2O3 as protective coatings against carbon steel corrosion into 3.5% NaCl media
Authors: Mallick Shoaib , Bhadra Jolly , Shakoor R. A. , Nawaz Muddasir , Al-Qahtani Noora Hamad S. , Radwan Ahmed Bahgat , Haddadd Muhsen El , Ahmed Ayesha , Al Mughrbi Aya R. Hamad , Abdelmoati Mohamed , Alademi Hanan , Al Thani Noora 
Published: November 2023

AbstractIn this research work, we have studied the impact of Yttrium nanoparticles loaded with corrosion inhibitors dodecylamine (DOC) incorporated in polyolefin for the corrosion protection of steel. The surface analysis of pure polyolefin and polyolefin-Y2O3-DOC composite coatings by atomic force spectroscopy (AFM) shows that both of the coated samples’ roughness almost remain the same. Furthermore, the contact angle measurement shows an increase in the hydrophobicity of polyolefin-Y2O3 with inhibitor. The release behavior of the corrosion inhibitors DOC was also studied at different pH. The x-ray diffraction for the loaded product shows that no physical and structural changes occur during the loading of the corrosion inhibitor. The electrochemical impedance spectroscopy (EIS) analysis demonstrates that smart polyolefin-Y2O3-DOC coating has better anticorrosion properties than pure polyolefin coating due to the effective release of DOC. An increase in charge transfer and pore resistance confirms the better barrier properties of the polyolefin-Y2O3-DOC composite coating. The inhibition efficiency of the polyolefin modified by Y2O3 increased by 99% as compared to pure polyolefin coating. The carbon steel substrate became stable and the polymeric composite coating protectected the steel against corrosion in the oil and gas industry. In conclusion, the study shows that yttrium nanoparticles loaded with corrosion inhibitors incorporated in polyolefin have a significant impact on the corrosion protection of steel.
Extensive studies on the electrochemical, photocatalytic and antimicrobial applications of bio assisted nano titania
Authors: Saikumari N. , Sudhakhar K. S. 
Published: November 2023

AbstractIn recent days synthesis and structuring of intelligent nano materials investigated and reported has developed critical scientific ideas to deal with different industrial, social and environmental issues. The excellent thermal, optical and electrical properties along with its resistant to corrosion, wear, oxidation and erosion enabled them unique for sustainable environmental applications. In this view nano structured Titanium di oxide particles synthesized from its precursor via template assisted sol–gel technique have been verified as corrosion inhibitor of brass alloy in acid medium along with its photo catalytic and anti-microbial applications. The physico-chemical parameters of the synthesized nano materials were studied using XRD, FT-IR, UV-DRS, SEM, TEM and BET analytical techniques and revealed the impact of tea leaf extract as a template in producing a nano catalyst NTG about 14 nm in size with tailored structural, optical and morphological characteristics. The rate of corrosion of a specimen in acid medium is verified by weight loss method and the inhibitor efficiency increased with the increase in concentration of the nano catalyst. The catalytic activity is proved against the photo degradation of a toxic melamine, a trimer of cyanamide. The synthesized nano catalyst showed excellent antimicrobial properties proven against the growth of K. pneumonia and H. influenza.
Magnetic Storm Effects on the Occurrence and Characteristics of Plasma Bubbles
Authors: Adhya P. , Valladares C. E. 
Published: November 2023

AbstractThe Communications/Navigation Outages Forecast System satellite mission was designed to investigate the ionospheric conditions that lead to the formation of irregularities. Here, we have studied the effect of magnetic storms on the formation and evolution of plasma bubbles during the satellite's lifetime (2008–2015). During this period encompassing solar minimum and maximum conditions, many magnetic storms of varying intensity developed, producing a unique and rich data set of 248 storms (14 intense, 69 moderate, and 165 weak) that occurred during the same timeframe to examine the role of external magnetospheric drivers in the production and dynamics of equatorial plasma bubbles. We have used the Planar Langmuir Probe and Ion Velocity Meter instruments to elucidate the role of magnetic storm intensity on the bubble's depth, internal speed, width, occurrence, and lifetime. The pre‐reversal enhancement (PRE) tends to increase during the main phase and when BZ is southward. New bubbles occur during large excursions of the PRE value. The bubble lifetime extends and remains active during the main and part of the recovery phase. The plasma velocity within the bubbles increases and typically becomes over 100 m/s during significant PRE and BZ negative times. The depth of bubbles reaches values close to 100% during intense storms. In general, the intensity of the storms seems to control and augment the plasma bubbles' depth, width, and internal velocity.
Murchison Meteorite Analysis Using Tetramethylammonium Hydroxide (TMAH) Thermochemolysis Under Simulated Sample Analysis at Mars (SAM) Pyrolysis‐Gas Chromatography‐Mass Spectrometry Conditions
Authors: Mojarro A. , Buch A. , Dworkin J. P. , Eigenbrode J. L. , Fressinet C. , Glavin D. P. , Szopa C. , Millan M. , Williams A. J. , Summons R. E. 
Published: November 2023

AbstractThe Sample Analysis at Mars (SAM) instrument aboard the Curiosity Rover at Gale crater can characterize organic molecules from scooped and drilled samples via pyrolysis of solid materials. In addition, SAM can conduct wet chemistry experiments which enhance the detection of organic molecules bound in macromolecules and convert polar organic compounds into volatile derivatives amenable to gas chromatography‐mass spectrometry analyses. Specifically, N‐tert‐butyldimethylsilyl‐N‐methyltrifluoroacetamide (MTBSTFA) is a silylation reagent whereas tetramethylammonium hydroxide (TMAH) is a thermochemolysis methylation reagent. Shortly after arriving at Mars, the SAM team discovered that at least one of the MTBSFTA cups was leaking, contributing to a continuous background inside SAM with the potential to interfere with future TMAH reactions. Therefore, here we characterized possible interactions between the two reagents to determine byproducts and implications for the detection of indigenous organics. SAM‐like pyrolysis experiments supplemented with flash pyrolysis were accordingly conducted with fragments of the Murchison meteorite as a reference for exogenous organic matter delivered to Mars. Flash TMAH experiments yielded various aromatic acids, dicarboxylic acids, and amino acids while SAM‐like pyrolysis presented mixtures of methylated and non‐methylated compounds due to decreased reaction efficiency at slower ramp rates. All experiments in the presence of simulated MTBSTFA vapor produced pervasive silylated byproducts which co‐elute and obscure the identification of Murchison‐derived compounds. Despite challenges, a significant diversity of pyrolyzates and TMAH derivatives could still be identified in flash pyrolysis in presence of MTBSTFA. However SAM‐like experiments with TMAH and MTBSTFA are hindered by both decreased methylation yields and additional co‐eluting compounds.
The effect of Ganoderma lucidum polysaccharide extract on sensitizing prostate cancer cells to flutamide and docetaxel: an in vitro study
Authors: Rahimnia Ramin , Akbari Mohmammad Reza , Yasseri Alimohammad Fakhr , Taheri Diana , Mirzaei Akram , Ghajar Helia Azodian , Farashah Parmida Dehghanpoor , Baghdadabad Leila Zareian , Aghamir Seyed Mohammad Kazem 
Published: November 2023

AbstractGanoderma lucidum polysaccharide is the most widely used complementary therapy in cancer. The present study aims to investigate the possible interaction between Ganoderma lucidum polysaccharide and Docetaxel (a chemotherapy drug) and the first-line medication for prostate cancer treatment (Flutamide) and sensitizing the cells to these treatments. The cytotoxic effects of Ganoderma lucidum polysaccharide in combination with Docetaxel and Flutamide on prostate cancer cells were investigated by the MTT test, Hoechst staining, and flow cytometry. In addition, the expression of genes related to apoptosis, angiogenesis, Epithelial-Mesenchymal Transition pathway (EMT), and prostate cancer biomarkers by Real-Time PCR was investigated. The results demonstrated that IC50 values for Ganoderma lucidum polysaccharide (30 μM and 20 μM), Docetaxel (10 μM and 5 μM), and Flutamide (20 μM and 12 μM) with MTT were confirmed by flow cytometry in a dose and time-dependent manner. Regarding the high efficacy of Ganoderma lucidum polysaccharide in combination with Flutamide and Docetaxel, 10 μM and 5 μM Flutamide were used instead of 20 μM and 12 μM and 5 μM and 2 μM Docetaxel was used instead of 10 μM and 5 μM in PC3 and LNCap, respectively. Moreover, for the first time, it was shown that Ganoderma lucidum polysaccharide alone and in combination with Docetaxel and Flutamide significantly augmented apoptosis, reduced cell migration and colonization, and downregulated expression of KLK2 and EMT pathway genes in both PC3 and LNCap cell line (P < 0.01). Ganoderma lucidum polysaccharide synergistically increased the effect of Docetaxel and Flutamide and increased the sensitivity of the prostate cancer cell lines to these drugs. Therefore, it may provide a new therapeutic strategy against prostate cancer.
Developing a hypertension visualization risk prediction system utilizing machine learning and health check-up data
Authors: Du Jinsong , Chang Xiao , Ye Chunhong , Zeng Yijun , Yang Sijia , Wu Shan , Li Li 
Published: November 2023

AbstractAs an important risk factor for many cardiovascular diseases, hypertension requires convenient and reliable methods for prevention and intervention. This study designed a visualization risk prediction system based on Machine Learning and SHAP as an auxiliary tool for personalized health management of hypertension. We used ten Machine Learning algorithms such as random forests and 1617 anonymized health check data to build ten hypertension risk prediction models. The model performance was evaluated through indicators such as accuracy, F1-score, and ROC curve. We used the best-performing model combined with the SHAP algorithm for feature importance analysis and built a visualization risk prediction system on the web page. The LightGMB model exhibited the best predictive performance, and age, alkaline phosphatase, and triglycerides were important features for predicting the risk of hypertension. Users can obtain their risk probability of hypertension and determine the focus of intervention through the visualization system built on the web page. Our research helps doctors and patients to develop personalized prevention and intervention programs for hypertension based on health check data, which has significant clinical and public health significance.
Circulating IL-17 reduces the risk of cisplatin-induced hearing loss in children: a bidirectional two-sample Mendelian randomization study
Authors: Xu Ying , Huang Caijuan , Liu Jingjing , Xu Yaying , Yang Haiping 
Published: November 2023

AbstractStudies have reported that cytokines and their related signaling pathways play a role in inner ear diseases. In clinical practice, approximately 50% of pediatric cancer patients experience irreversible hearing loss after cisplatin treatment. However, currently, there is a lack of systematic research on the causal relationship between circulating cytokines and cisplatin-induced hearing loss in children. Genetic variant data for 41 circulating cytokines were obtained from a meta-analysis of genome-wide association studies (GWAS) among 8293 individuals of Finnish descent. The GWAS data for Cisplatin-induced hearing loss in children were derived from a multicenter cohort of European pediatric cancer patients and survivors (N = 390), including both cases with hearing loss after cisplatin chemotherapy and controls without hearing loss. Multiple methods were employed for bidirectional Mendelian randomization (MR) estimation. Bonferroni correction was applied to adjust the original P-values, followed by a series of sensitivity analyses. In the directional Mendelian randomization (MR) analysis, it was found that IL-17 was significantly associated with a reduced risk of Cisplatin-induced hearing loss in children (OR: 0.18, CI: 0.06–0.48, P < 0.001, FDR = 0.041). In the reverse MR analysis, there were some nominal causal relationships of Cisplatin-induced hearing loss in children with certain cytokines [M-CSF: (OR: 1.04, CI: 1.01–1.08, P = 0.010, FDR = 0.41); IL-2RA: (OR: 1.03, CI: 1.00–1.05, P = 0.044, FDR = 0.447); MIP-1β: (OR: 1.02, CI: 1.00–1.04, P = 0.041, FDR = 0.447)]. leave-one-out analysis demonstrated that only M-CSF exhibited stability. These findings reveal a causal relationship between IL-17 and cisplatin-induced hearing loss in children. Further research is needed to determine the potential protective mechanisms of IL-17 in cisplatin-induced ototoxicity.
Exploring the diagnostic and prognostic value of the C-reactive protein/lymphocyte ratio for dilated cardiomyopathy based on a real-world study
Authors: Qi Bin , Yang Zhi-Jie , Huang Nan , Zheng Wen-Bo , Gui Chun 
Published: November 2023

AbstractTo determine the risk factors for dilated cardiomyopathy (DCM) and construct a risk model for predicting HF in patients with DCM, We enrolled a total of 2122 patients, excluding those who did not meet the requirements. A total of 913 patients were included in the analysis (611 males and 302 females) from October 2012 to May 2020, and data on demographic characteristics, blood biochemical markers, and cardiac ultrasound results were collected. Patients were strictly screened for DCM based on the diagnostic criteria. First, these patients were evaluated using propensity score matching (PSM). Next, unconditional logistic regression was used to assess HF risk. Furthermore, receiver operating characteristic (ROC) curve analysis was conducted to determine diagnostic efficiency, and a nomogram was developed to predict HF. Finally, the Kaplan‒Meier survival curve was plotted. Of the initial 2122 patients, the ejection fraction (EF) in males was worse. We included 913 patients after the final DCM diagnosis. The results showed that the levels of NT-proBNP, WBC, PLT, neutrophils, lymphocytes, eosinophils, and IL-6, C-reactive protein (CRP) and the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and CRP/lymphocyte ratio (CLR) were higher in males than in females (P < 0.001–0.009). The nomogram showed that factors such as sex, WBC, neutrophils, PLR, and CLR could predict the risk of worsening cardiac function in patients with DCM before and after PSM (P < 0.05). The ROC curve showed that CLR with an 85.6% area demonstrated higher diagnostic efficacy than the NLR (77.0%) and PLR (76.6%, P < 0.05). Survival analysis showed a higher mortality risk in females with higher CLR levels (P < 0.001–0.009). However, high CLR levels indicated a higher mortality risk (P < 0.001) compared to sex. Male EF is lower in DCM patients. CLR could predict the risk of declined cardiac function in patients with DCM. The mortality in females with higher CLR levels was highest; however, the exact mechanism should be investigated.
KMD clustering: robust general-purpose clustering of biological data
Authors: Zelig Aviv , Kariti Hagai , Kaplan Noam 
Published: November 2023

AbstractThe noisy and high-dimensional nature of biological data has spawned advanced clustering algorithms that are tailored for specific biological datatypes. However, the performance of such methods varies greatly between datasets and they require post hoc tuning of cryptic hyperparameters. We present k minimal distance (KMD) clustering, a general-purpose method based on a generalization of single and average linkage hierarchical clustering. We introduce a generalized silhouette-like function to eliminate the cryptic hyperparameter k, and use sampling to enable application to million-object datasets. Rigorous comparisons to general and specialized clustering methods on simulated, mass cytometry and scRNA-seq datasets show consistent high performance of KMD clustering across all datasets.