bluuebunny/crossref_metadata_2025_split huggingface dataset:
ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations
Authors: Humer Christina , Heberle Henry , Montanari Floriane , Wolf Thomas , Huber Florian , Henderson Ryan , Heinrich Julian , Streit Marc 
Published: April 2022

AbstractThe introduction of machine learning to small molecule research– an inherently multidisciplinary field in which chemists and data scientists combine their expertise and collaborate - has been vital to making screening processes more efficient. In recent years, numerous models that predict pharmacokinetic properties or bioactivity have been published, and these are used on a daily basis by chemists to make decisions and prioritize ideas. The emerging field of explainable artificial intelligence is opening up new possibilities for understanding the reasoning that underlies a model. In small molecule research, this means relating contributions of substructures of compounds to their predicted properties, which in turn also allows the areas of the compounds that have the greatest influence on the outcome to be identified. However, there is no interactive visualization tool that facilitates such interdisciplinary collaborations towards interpretability of machine learning models for small molecules. To fill this gap, we present CIME (ChemInformatics Model Explorer), an interactive web-based system that allows users to inspect chemical data sets, visualize model explanations, compare interpretability techniques, and explore subgroups of compounds. The tool is model-agnostic and can be run on a server or a workstation.
Towards spectral efficiency enhancement for IoT-aided smart transportation: a compressive OFDM transmission and regularized recovery approach
Authors: Zhang Yusi , Li Yong , Fang Xiaojie , Sha Xuejun , Feng Yuqing , Wang Weizhi 
Published: April 2022

AbstractThe increasing number of vehicles brings ubiquitous connectivity and huge information interaction, implementing with limited spectrum resource. Focusing on the higher spectral efficiency requirement, a compressive OFDM system is proposed in this paper. The idea of compressing the transmission of OFDM signal for spectral efficiency enhancement origins from GP extrapolation algorithm for bandlimited signal. In the proposed scheme, a truncation filter with deliberately designed compressed ratio and truncation mode is performed on the OFDM signal to generate the compressive OFDM signal. At the receiver, up-sampling and iterative extrapolation are conducted to recover from the partial signal. Simulation results show that the compressive OFDM signal could be compressed up to 0.5, presenting better compressive capability than the typical nonorthogonal SEFDM system. Further considering the ill-posed problem caused by the noise, a regularization approach is adopted to retain the convergence of recovery. Moreover, the proposed compressive OFDM system possesses the spectrally efficient advantage than SEFDM system. At the compressed ratio 0.5, the compressive OFDM system possesses better BER than SEFDM. At 10 dB $$E_{\mathrm{b}}/N_{0}$$

E
b

/

N
0

, the throughput rate of the compressive OFDM is 2 times and 1.6 times higher than OFDM and SEFDM, respectively.
A framework of safety analysis with temporal feature based on MBSA and case study for ACC system
Authors: Wang Lisong , Zhang Qin , Hu Jun 
Published: April 2022

AbstractThe safety of automotive Adaptive Cruise Control (ACC) system is of great significance to prevent fatigue driving, improve driving comfort, reduce accident rate and promote the development of intelligent transportation and autonomous driving technology. However, the current safety analysis of ACC lacks consideration of the temporal dynamic property, so it is necessary to establish a set of safety analysis methods to consider the temporal characteristics. This paper proposes a new safety analysis method based on MBSA framework and introduces temporal features. Altarica3.0 is a high-level modeling language for safety analysis, and its basic mathematical form is Guardian Transformation System (GTS). In this paper, we outline an analysis approach that converts failure behavioral models (GTS) to temporal fault trees (TFTs), which can be analyzed using Pandora a recent technique for introducing temporal logic to fault trees. However, like classical fault tree analysis, TFT analysis requires a lot of manual effort, which makes it time consuming and expensive. In order to improve the safety of the system, the proposal extends Bayesian Networks with Pandora and results to dependability analysis with temporal relationships to provide more reliable basis for safety design. As a typical case study, the safety analysis method proposed in this paper is applied to the safety analysis of adaptive cruise system, and the results show the effectiveness of the proposed method. Furthermore, it also provides new technologies for the automation and intelligence of safety analysis for smart internet of vehicle.
Signal processing of Internet of Vehicles based on intelligent interference
Authors: Wu Xiangyu , Hou Changbo , Deng Zhian , Fang Chenyu , Liu Guowei 
Published: April 2022

AbstractWith the rapid development of in-vehicle electronic technology and artificial intelligence, Internet of Vehicles (IoV) technology, as an effective integration of the two, greatly reduces the probability of road traffic accidents. However, the current IoV system is not perfect for the control process of abnormal vehicles. Therefore, to strengthen the management and control of abnormal vehicles in the IoV, it is extremely necessary to propose a method for interfering with IoV signals. Among the current popular intelligent interference methods, most of them rely on the prior knowledge of the signal. However, prior knowledge is difficult to obtain in practical applications. Therefore, in view of the shortcomings of the current communication interference technology, this study introduces intelligent interference into the signal processing technology of the IoV. When the service provider identifies abnormal signals, the intelligent interference method can be used to achieve precise interference for a single target and then realize the control of the IoV signals. This study proposes an interference waveform generation technology based on convolutional autoencoders. The convolutional autoencoder was used to change the features on the fully connected layer to generate an interference waveform that is very similar to the received signal waveform. The simulation results show that the interference waveform generation technology proposed in this study can make the bit error rate (BER) reach 38.4% within the signal-to-interference ratio (SIR) from − 10 to − 15 dB.
Nonoperative treatment for pain sensitization in patients with low back pain: protocol for a systematic review
Authors: Nopsopon Tanawin , Suputtitada Areerat , Lertparinyaphorn Irin , Pongpirul Krit 
Published: April 2022

Abstract
Background
Low back pain is a disability that occurs worldwide. It is a heterogeneous disorder that affects patients with dominant nociceptive, neuropathic, and central sensitization pain. An important pathophysiology of low back pain involves pain sensitization. Various nonoperative interventions are available for treatment, but there is inconclusive evidence on the effectiveness of these interventions for pain sensitization, leading to arbitrary nonoperative treatments for low back pain.

Methods
We will conduct a systematic review of RCTs evaluating the effectiveness and safety of nonoperative treatment for pain sensitization in patients with low back pain. The primary outcomes will be static quantitative sensory testing, dynamic quantitative sensory testing, and pain algometry. The secondary outcome will be adverse events. We will search the PubMed, Embase, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials (CENTRAL), and Cochrane Library databases. Two independent authors will screen the titles and abstracts, review full texts, extract data, assess the risk of bias, and evaluate the quality of evidence. We will qualitatively and quantitatively synthesize the results using a random effects model for meta-analysis.

Discussion
This systematic review aims to provide evidence regarding which treatment, if any, provides the greatest benefit for pain sensitization and safety among patients with low back pain. Evidence synthesized from this systematic review will inform clinical practice and further research. Since there is still a small amount of research, additional studies might need to be conducted in the future.

Systematic review registration
Submitted to PROSPERO on March 20, 2021, CRD42021244054
Bursting out of our bubble: using creative techniques to communicate within the systematic review process and beyond
Authors: Coon Jo Thompson , Orr Noreen , Shaw Liz , Hunt Harriet , Garside Ruth , Nunns Michael , Gröppel-Wegener Alke , Whear Becky 
Published: April 2022

Abstract
Background
Increasing pressure to publicise research findings and generate impact, alongside an expectation from funding bodies to go beyond publication within academic journals, has generated interest in alternative methods of science communication.
Our aim is to describe our experience of using a variety of creative communication tools, reflect on their use in different situations, enhance learning and generate discussion within the systematic review community.

Methods
Over the last 5 years, we have explored several creative communication tools within the systematic review process and beyond to extend dissemination beyond traditional academic mechanisms.
Central to our approach is the co-production of a communication plan with potential evidence users which facilitates (i) the identification of key messages for different audiences, (ii) discussion of appropriate tools to communicate key messages and (iii) exploration of avenues to share them. We aim to involve evidence users in the production of a variety of outputs for each research project cognisant of the many ways in which individuals engage with information.

Results
Our experience has allowed us to develop an understanding of the benefits and challenges of a wide range of creative communication tools. For example, board games can be a fun way of learning, may flatten power hierarchies between researchers and research users and enable sharing of large amounts of complex information in a thought provoking way, but they are time and resource intensive both to produce and to engage with. Conversely, social media shareable content can be quick and easy to produce and to engage with but limited in the depth and complexity of shareable information.

Discussion
It is widely recognised that most stakeholders do not have time to invest in reading large, complex documents; creative communication tools can be a used to improve accessibility of key messages. Furthermore, our experience has highlighted a range of additional benefits of embedding these techniques within our project processes e.g. opening up two-way conversations with end-users of research to discuss the implications of findings.
On new generalized $\theta _{b}$-contractions and related fixed point theorems
Authors: Ali Amjad , Arshad Muhammad , Hussain Aftab , Hussain Nawab , Alsulami Saud Mastour 
Published: April 2022

AbstractThe manuscript is an extension of the investigations concerning θ-contractions which have been newly proposed in (Jleli and Samet in J. Inequal. Appl. 2014:38, 2014). The authors generalize the notion of θ-contractions to the case of nonlinear $\theta _{b} $

θ
b

-contraction mappings and prove multi-valued fixed point theorems based on the b-Bianchini–Grandolfi gauge function in b-metric spaces. The manuscript consists of a tangible example which displays the motivation for such investigations. The work is compiled by the application of the proposed nonlinear $\theta _{b}$

θ
b

-contractions to Liouville–Caputo fractional differential equations.
Turing instability in a modified cross-diffusion Leslie–Gower predator–prey model with Beddington–DeAngelis functional response
Authors: Farshid Marzieh , Jalilian Yaghoub 
Published: April 2022

AbstractIn this paper, a modified cross-diffusion Leslie–Gower predator–prey model with the Beddington–DeAngelis functional response is studied. We use the linear stability analysis on constant steady states to obtain sufficient conditions for the occurrence of Turing instability and Hopf bifurcation. We show that the Turing instability and associated patterns are induced by the variation of parameters in the cross-diffusion term. Some numerical simulations are given to illustrate our results.
A case of primary COVID-19 pneumonia: plausible airborne transmission of SARS-CoV-2
Authors: Dumont-Leblond Nathan , Duchaine Caroline , Veillette Marc , Pen Visal , Bergevin Marco 
Published: April 2022

Abstract
Background
The different clinical manifestations, from none to severe, and the variability in efficacy of SARS-CoV-2 diagnosis by upper respiratory tract testing, make diagnosis of COVID-19 and prevention of transmission especially challenging. In addition, the ways by which the virus can most efficiently transmit still remain unclear.

Case Presentation
We report the case a 48-year-old man who presents primary COVID-19 pneumonia. He was initially admitted for cholecystitis but, upon review of his abdominal CT scan, a segmental zone of ground glass opacity was identified in the right lower lobe. A bronchoalveolar lavage proved positive to SARS-CoV-2 by RT-qPCR, even if he tested negative by oro-nasopharyngeal swab at admission and the day after he underwent bronchoscopy. The near absence of the virus in his saliva 2 days after, combined with a very sharp increase in salivary viral load on the third day, also rule out the possibility of prior viral replication in the upper airway and clearance. In addition, rapidly increasing bilateral alveolar lung infiltrates appeared as the upper respiratory tests begin to detect the virus.

Conclusions
For this patient to have developed primary COVID-19 pneumonia, a contagious aerosol must have traveled to the lower respiratory system. This case gives indirect but compelling evidence that aerosol may spread the virus. It also highlights the limitations of oral and nasal testing methods and the importance of anatomical considerations when studying infections by SARS-CoV-2.
Potential of a fucoidan-rich Ascophyllum nodosum extract to reduce Salmonella shedding and improve gastrointestinal health in weaned pigs naturally infected with Salmonella
Authors: Venardou Brigkita , O’Doherty John V. , Maher Shane , Ryan Marion T. , Gath Vivian , Ravindran Rajeev , Kiely Claire , Rajauria Gaurav , Garcia-Vaquero Marco , Sweeney Torres 
Published: April 2022

Abstract
Background
Dietary supplementation with a fucoidan-rich Ascophyllum nodosum extract (ANE), possessing an in vitro anti-Salmonella Typhimurium activity could be a promising on-farm strategy to control Salmonella infection in pigs. The objectives of this study were to: 1) evaluate the anti-S. Typhimurium activity of ANE (containing 46.6% fucoidan, 18.6% laminarin, 10.7% mannitol, 4.6% alginate) in vitro, and; 2) compare the effects of dietary supplementation with ANE and Zinc oxide (ZnO) on growth performance, Salmonella shedding and selected gut parameters in naturally infected pigs. This was established post-weaning (newly weaned pig experiment) and following regrouping of post-weaned pigs and experimental re-infection with S. Typhimurium (challenge experiment).

Results
In the in vitro assay, increasing ANE concentrations led to a linear reduction in S. Typhimurium counts (P <  0.05). In the newly weaned pig experiment (12 replicates/treatment), high ANE supplementation increased gain to feed ratio, similar to ZnO supplementation, and reduced faecal Salmonella counts on d 21 compared to the low ANE and control groups (P <  0.05). The challenge experiment included thirty-six pigs from the previous experiment that remained on their original dietary treatments (control and high ANE groups with the latter being renamed to ANE group) apart from the ZnO group which transitioned onto a control diet on d 21 (ZnO-residual group). These dietary treatments had no effect on performance, faecal scores, Salmonella shedding or colonic and caecal Salmonella counts (P > 0.05). ANE supplementation decreased the Enterobacteriaceae counts compared to the control. Enterobacteriaceae counts were also reduced in the ZnO-residual group compared to the control (P <  0.05). ANE supplementation decreased the expression of interleukin 22 and transforming growth factor beta 1 in the ileum compared to the control (P <  0.05).

Conclusions
ANE supplementation was associated with some beneficial changes in the composition of the colonic microbiota, Salmonella shedding, and the expression of inflammatory genes associated with persistent Salmonella infection.
Combining BTK inhibitors with BCL2 inhibitors for treating chronic lymphocytic leukemia and mantle cell lymphoma
Authors: Zhang Jing , Lu Xueying , Li Jianyong , Miao Yi 
Published: April 2022

AbstractThe advent of BTK inhibitors has changed the treatment of patients with chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL). The first-in-class BTK inhibitor ibrutinib has shown remarkable therapeutic effects and manageable toxicities in multiple clinical trials. The second-generation BTK inhibitors, including acalabrutinib and zanubrutinib, also show remarkable efficacies. However, using BTK inhibitors as monotherapies requires continuous treatment. Resistance to BTK inhibitors and severe side effects unavoidably occur during BTK inhibitor monotherapy, frequently resulting in treatment failure. The addition of the BCL2 inhibitor venetoclax to BTK inhibitor may improve the therapeutic effects and result in deeper responses, providing a potential fixed-duration treatment, especially for patients with CLL. In this review, by focusing on CLL and MCL, we discussed the rationale for the combinational use and summarized the current data on the combinations of BTK inhibitors and venetoclax in patients with CLL and MCL.
Diet communication on the early Silk Road in ancient China: multi-analytical analysis of food remains from the Changle Cemetery
Authors: Ren Meng , Wang Renfang , Yang Yimin 
Published: April 2022

Abstract
Characterization of ancient food remains could reflect how people exploited biological resources and interacted with different cultures in antiquity. In this study, Fourier Transform Infrared Spectroscopy (FTIR), starch grain, phytolith, stable isotope analysis and proteomics were adopted to characterize the composition of the food remains including three cereal foodstuffs, some meat strips and a kebab discovered at the Changle Cemetery (202 BCE–220 CE), Ningxia, northwest China, a key area on the Silk Road. The results show that the cereal foods were baked cakes, primarily made from foxtail millet (Setaria italica). One cake was simply made of millet grains, the others were more elaborately comprised of millet flour with the addition of barley flour and meat from cattle (Bos taurus) and chicken (Gallus gallus). These findings indicate that grinding and baking technologies, which were considered as the culinary tradition in western Eurasia, had been adopted at the latest by the inhabitants in Ningxia region at that time. The large-scale migration from central China to Ningxia and the opening up of the Silk Road during the Han Dynasty gave rise to the diet communication and assimilation in this border area. Moreover, the meat strips were identified as dried beef, and the kebab was likely to be made from sheep/goat meat, wherein the latter is the earliest scientific evidence of mutton kebab in ancient China up to our knowledge. The analytical strategy could be widely applied in characterizing ancient visible food remains in order to better understand their preparation methods.
Antibacterial and antioxidant properties of humic substances from composted agricultural biomasses
Authors: Verrillo Mariavittoria , Salzano Melania , Savy Davide , Di Meo Vincenzo , Valentini Massimiliano , Cozzolino Vincenza , Piccolo Alessandro 
Published: April 2022

Abstract
Background
Bioactive components isolated from composted agricultural biomasses have been receiving progressive attention, because they may improve the antibiotic susceptibility of drug resistant bacterial strains. Here, three different humic substances (HS) were isolated from composted artichoke (HS-CYN) and pepper (HS-PEP) wastes, and from coffee grounds (HS-COF), and characterized by infrared spectrometry, NMR spectroscopy, thermochemolysis–GC/MS, and high-performance size-exclusion chromatography. The antibacterial activity of HS was evaluated against some pathogenic bacterial strains, while their bioactivity was determined by a germination assay on basil (Red–Violet variety) seeds.

Results
HS-CYN and HS-PEP exhibited the largest antioxidant activity and most significant antimicrobial capacity against some gram-positive bacterial strains, such as Staphylococcus aureus and Enterococcus faecalis. The same HS determined a significant increase of both root and epicotyls in seed germination experiments. The bioactivity of HS was related not only to their specific molecular composition but also to the conformational stability of their suprastructures. Specifically, the greatest bioactive and antimicrobial properties were related to the largest abundance of hydrophobic aromatic and phenolic components and to a more rigid conformational arrangement, that, in turn, appeared to be related to a small fragmentation degree of lignin structures.

Conclusions
Our results showed that extraction of bioactive HS from green composts may be a sustainable and eco-compatible way to valorise agricultural byproducts. HS may be indeed exploited as substrates to produce novel materials not only to improve plant productivity but also for medical applications.

Graphical Abstract