bluuebunny/crossref_metadata_2025_split huggingface dataset:
Voluntary fishing logbooks are essential for unveiling unsustainable bycatch levels and appropriate mitigating measures: The case of sea turtles in the Gulf of Manfredonia, Adriatic Sea
Authors: Baldi Giulia , Salvemini Pasquale , Attanasio Anna Pia , Mastrapasqua Teresa , Pepe Anna Maria , Ceriani Simona A. , Oliverio Marco , Casale Paolo 
Published: March 2022

Abstract

Studying the impact of bycatch on marine megafauna, including sea turtles, is challenging for a variety of technical and biological reasons. The Mediterranean Sea has among the highest levels of turtle bycatch globally, notably of the loggerhead sea turtle (Caretta caretta), and bottom trawling represents a particularly relevant threat.
Bottom trawlers from a recently discovered neritic foraging area, the Gulf of Manfredonia, reported 1,152 loggerhead turtles incidentally caught in the period 2015–2020. Capture locations were available for 497 turtles. These data were complemented by the distribution of fishing effort obtained by the vessel monitoring system.
High bycatch rates were observed, leading to more than an estimated 5,600 annual captures and to the death of a minimum of 560 large individuals with high reproductive value. These findings are extremely concerning for the affected population and require immediate action. A strong seasonality of turtle bycatch was observed, with most captures occurring in November–March when fishing effort occurs in shallow waters where turtles concentrate all year round.
Therefore, a seasonal approach (e.g. adopting measures only in the high‐turtle bycatch season) can be pursued as long as the spatial distribution of fishing effort varies among seasons. However, such a spatio‐temporal pattern should be monitored; then, in the case of change, although more difficult to implement, an area‐based conservation approach should be pursued. Several recommendations are provided, including the urgent implementation of turtle excluder devices, at least on a seasonal basis.
This case shows that identifying the best conservation approaches requires information on the actual spatio‐temporal pattern of turtle occurrence and bycatch. Such information can only be derived from spatial distribution of bycatch and fishing effort obtained through a voluntary collaboration of fishers.
Quality evaluation of different varieties of rhubarb based on multicomponents and bioactivity: Application to quality control in the production of rhubarb decoction pieces
Authors: Liang Wei , Weimei Zhang , Chen Yuan , Sun Jiachen , Guo Fengxia , Hu Jing , Gao Wenyuan , Li Xia 
Published: March 2022

AbstractIn this work, we developed a novel HPLC method for the simultaneous determination of 16 bioactive components in rhubarb and used it to determine the contents. Through the determination of bioactive components and in vitro activity, we compared the differences between 18 batches of different varieties of rhubarb. The contents of 16 bioactive components in Rheum officinale Baill., Rheum tanguticum Maxim. ex Balf., and Rheum palmatum Linn. were 57.53–76.09, 98.88–130.61 and 36.18–48.66 mg/g, respectively. The average inhibition rates of alkaline phosphatase in R. tanguticum were the highest, reaching 79.53%. The average inhibition rates of thrombin and Na+/K+‐ATPase in R. palmatum were the highest, reaching 80.93 and 62.42%, respectively. These results showed that there were significant differences in effective components and biological activities among different varieties of rhubarb. Through chemometric analysis, we preliminarily compared the differences in chemical composition of different varieties of rhubarb, and established a Fisher discriminant function which could accurately distinguish different varieties of rhubarb. Through correlation analysis and molecular docking, three potential components as quality markers of rhubarb were identified. The obtained results provide a comprehensive strategy for the quality control of multisource Chinese medicine and related products.
Flourishing in head and neck cancer survivors
Authors: Harris Alexandria , Li Jinhong , Atchison Karley , Harrison Christine , Hall Daniel , VanderWeele Tyler , Johnson Jonas T. , Nilsen Marci L. 
Published: March 2022

AbstractBackgroundThere is a growing cohort of head and neck cancer (HNC) patients affected by late‐ and long‐term posttreatment side effects. Our study evaluates the relationship between the demographics, clinical characteristics, and posttreatment symptom burden with the subjective sense of flourishing among HNC survivors.MethodsA cross‐sectional, single‐center study of adult survivors of squamous cell cancer of the oral cavity, oropharynx, and larynx/hypopharynx who completed the Secure Flourishing Index (SFI) and patient‐reported outcomes related to depression, anxiety, swallowing dysfunction, neck disability, and insomnia between November 2020 and April 2021.ResultsA total of 100, predominantly male (86%), survivors with an average age of 63.0 ± 9.6 were included in the study. Univariable analysis showed a significant association between higher flourishing scores and advanced age (95% CI: [0.011, 0.84], p = 0.0441), normal diet (95% CI: [5.79, 31.18], p = 0.0149), employment (95% CI: [1.24, 17.20], p = 0.0239), higher income (95% CI: [7.30, 27.72], p = 0.0248), and decreased reported difficulty paying for needs (95% CI: [−33.46, −18.88], p < 0.001). Flourishing was inversely associated with higher symptoms of depression (95% CI: [−2.23, −1.15], p < 0.001), anxiety (95% CI: [−1.92,‐0.86], p < 0.001), swallowing dysfunction (95% CI: [−0.77, −0.26], p < 0.001), neck disability (95% CI: [−1.05, −0.35], p < 0.001), and insomnia (95% CI: [−1.12, −0.22], p = 0.004) in the multivariable analysis.ConclusionsCommon late‐ and long‐term side effects of HNC treatment and financial hardship are associated with lower levels of flourishing or a more negative perception of life after treatment. Results highlight the importance of symptom burden for survivors' overall evaluation of their quality of life.
Relapse in patients with limited‐stage ocular adnexal lymphoma treated by chemoimmunotherapy: Extended follow‐up of a phase 2 study
Authors: Kim Sung‐Yong , Lee Won‐Sik , Oh Sung Yong , Yang Deok‐Hwan , Kim Hyo Jung , Park Seong Kyu , Yang Jae Wook , Yang Suk‐Woo , Cho Seok‐Goo 
Published: March 2022

AbstractBackgroundApproximately 50% of limited‐stage ocular adnexal mucosa‐associated lymphoid tissue lymphoma (OAML) patients with adverse prognostic factors relapse after radiotherapy. Chemoimmunotherapy has been proposed as an alternative frontline therapy. However, only a few studies have reported its long‐term treatment outcome.MethodsIn 2011, we commenced a phase 2 trial to investigate the efficacy of rituximab, cyclophosphamide, doxorubicin, and prednisolone (R‐CVP) in bilateral and non‐conjunctival limited‐stage OAML patients. Results of the clinical trial showed a response rate of 100% and a 4‐year progression‐free survival of 90.3% without significant toxicity. We extended the study period to December 2020 to determine the long‐term efficacy of R‐CVP chemoimmunotherapy.ResultsAt a median observation period of 66.0 months, eight of 33 study patients had relapsed. The cumulative incidence of relapse was 18.9% at 5 years and 44.7% at 8 years. The majority of relapses developed more than 4 years after treatment. Local relapse was more prevalent than distant relapse. The relapse risk of orbital and lacrimal diseases was likely to be higher than that of conjunctival and eyelid diseases (HR: 2.5, 95% CI: 0.498–12.500, p = 0.25).ConclusionAlthough the response rate was remarkable for chemoimmunotherapy, the risk of late relapse was considerable. Based on our findings, clinical trials for limited‐stage OAML patients should have a long‐term observation period. To minimize radiation toxicity and reduce the risk of delayed relapse (local relapse and distant relapse), a future study with sequential or combination treatment of local low‐dose radiation and systemic chemoimmunotherapy can be considered.
Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis
Authors: Huang Yun‐xia , Lin Yan‐zong , Li Yi‐min , Chu Ke‐xin , Zhou Yu‐fei , Lin Li‐mei , Zhou Rui , Zhang Zong‐kai , Lin Qin 
Published: March 2022

AbstractBackgroundThe potential therapeutic benefit of adjuvant radiotherapy for patients with stage I uterine sarcoma has not been clear. In this study, we aimed to develop a risk scoring model to select the subgroup of patients with stage I uterine sarcoma who might benefit from adjuvant radiotherapy.MethodsPatients with stage I uterine sarcoma from the Surveillance, Epidemiology, and End Results program from 2010 to 2014 were retrospectively included in this analysis. Cox proportional hazards models were performed to identify risk factors.ResultsA total of 947 stage I uterine sarcoma patients were included. The 5‐year disease‐specific survival (DSS) of the overall cohort was 75.81%. Multivariate analysis identified stage (p = 0.013), tumor grade (p <0.001) and histology (p = 0.043) as independent prognostic factors for DSS, and these factors were used to generate the risk scoring model. The low‐risk group presented a better DSS than the high‐risk group (95.51% vs. 49.88%, p < 0.001). The addition of radiotherapy to surgery significantly increased the DSS in the high‐risk group compared with surgery alone (78.06% vs. 46.88%, p = 0.022), but no significant survival benefit was observed in the low‐risk group (98.36% vs. 100%, p = 0.766).ConclusionsOur risk scoring model based on stage, tumor grade, and histology predicted the outcome of patients with stage I uterine sarcoma cancer. This system may help to select stage I uterine sarcoma cancer patients who might benefit from adjuvant radiotherapy.
Idiopathic red ear syndrome: A rare case report
Authors: Sigdel Brihaspati , Pokhrel Amrit 
Published: March 2022

AbstractRed ear syndrome (RES) is a very rare disorder that is characterized by a unilateral or bilateral attack of paroxysmal burning sensation and reddening of the external ear. The duration of symptoms ranges from a few seconds to hours. It can occur spontaneously or be triggered by rubbing of the ear, heat or cold stimulation, brushing of hair, and neck movement. Diagnosis and treatment of this condition are challenging. The pathophysiology of RES is still unclear and hypotheses involving peripheral or central nervous system mechanisms have been proposed. RES is regarded as refractory to medical treatments, although some migraine preventative treatments have shown moderate benefit mainly in patients with migraine‐related attacks. We report a case with Idiopathic RES who presented with paroxysmal redness of the bilateral pinnae partially benefitted by medical treatment.
Kinase Sensing Based on Protein Interactions at the Catalytic Site
Authors: Solomon Ohad , Sapir Hannah , Mervinetsky Evgeniy , Chen Yu‐Ju , Friedler Assaf , Yitzchaik Shlomo 
Published: March 2022

AbstractInvited for the cover of this issue is Assaf Friedler, Shlomo Yitzchaik and co‐workers at the Hebrew University of Jerusalem and the Academia Sinica. The image depicts a new approach for electrochemical kinase sensing that does not rely on phosphorylation. The kinase binds a peptide layer, which undergoes rearrangement, resulting in the permeation of redox‐active species through the layer and electrochemical sensing. Read the full text of the article at 10.1002/chem.202104227.
The Decisive Role of Spin States and Spin Coupling in Dictating Selective O2 Adsorption in Chromium(II) Metal–Organic Frameworks
Authors: Jose Reshma , Kancharlapalli Srinivasu , Ghanty Tapan K. , Pal Sourav , Rajaraman Gopalan 
Published: March 2022

AbstractInvited for the cover of this issue are Sourav Pal, Gopalan Rajaraman and co‐workers at the Indian Institute of Technology Bombay, the Bhabha Atomic Research Centre and the Indian Institute of Science Education and Research. The image depicts how a mixture of atmospheric gases such as CO2, H2, N2 and O2 can be selectively separated using a Cr metal‐organic framework where spin state and spin coupling play a crucial role. Read the full text of the article at 10.1002/chem.202104526.
Reaction Optimization of a Suzuki‐Miyaura Cross‐Coupling Using Design of Experiments
Authors: Bobers Jens , Hahn Lisa Katharina , Averbeck Tobias , Brunschweiger Andreas , Kockmann Norbert 
Published: March 2022

AbstractThe combination of lab automation and design of experiments for the execution of screening experiments increases productivity and reduces error‐prone manual work. A self‐developed software tool allows for creating fractional‐factorial experimental design (FFED). Application of FFED on the screening of a Suzuki‐Miyaura cross‐coupling leads to a 93 % reduced design compared to full‐factorial design. The resulting regression model qualitatively shows the positive effect of educt concentrations, time, and temperature and reveals the decrease in conversion at high base concentrations.
Available and affordable complementary treatments for COVID‐19: From hypothesis to pilot studies and the need for implementation
Authors: Bousquet Jean , Haahtela Tari , Blain Hubert , Czarlewski Wienczyslawa , Zuberbier Torsten , Bedbrook Anna , Cruz Alvaro A. , Fonseca Joao A. , Klimek Ludger , Kuna Piotr , Samolinski Boleslaw , Valiulis Arunas , Lemaire Antoine , Anto Josep M. 
Published: March 2022

AbstractVaccination is a highly effective preventive measure against COVID‐19. However, complementary treatments are needed to better control the disease. Fermented vegetables and spices, agonists of the antioxidant transcription factor nuclear factor (erythroid‐derived 2)‐like 2 (Nrf2) and TRPA1/V1 channels (Transient Receptor Potential Ankyrin 1 and Vanillin 1), may help in the control of COVID‐19. Some preliminary clinical trials suggest that curcumin (spice) can prevent some of the COVID‐19 symptoms. Before any conclusion can be drawn and these treatments recommended for COVID‐19, the data warrant confirmation. In particular, the benefits of the foods need to be assessed in more patients, through research studies and large trials employing a double‐blind, placebo‐controlled design.
Pharmacokinetics of Subcutaneous Dupilumab Injection With an Autoinjector Device or Prefilled Syringe
Authors: Cohen Yehuda Z. , Zhang Xiaojia , Xia Binfeng , Kosloski Matthew P. , Kamal Mohamed A. , Davis John D. , Kanamaluru Vanaja , Xu Christine 
Published: March 2022

AbstractDupilumab, a human monoclonal antibody against interleukin‐4 receptor alpha, has demonstrated efficacy and an acceptable safety profile in adult and pediatric patients with moderate‐to‐severe atopic dermatitis (AD) and other type 2 inflammatory diseases. Dupilumab is available in 200‐ and 300‐mg strengths as a prefilled syringe with a needle shield (PFS‐S), and more recently as an autoinjector (AI) device. This study was designed to assess the pharmacokinetic (PK) comparability of a single subcutaneous (SC) dose of dupilumab 200 mg, delivered by 2 different devices, AI (test) versus PFS‐S (reference). A total of 130 healthy male and female participants were enrolled in this phase 1 parallel design study, with 128 evaluable for PK. Following dupilumab 200‐mg SC injection, dupilumab exposure in serum was similar for both AI and PFS‐S. The geometric mean ratios of PK parameters with 90% confidence intervals were 1.08 (0.97‐1.21) for maximum serum concentration (Cmax) and 1.11 (0.96‐1.28) for area under the serum concentration–time curve until the last quantifiable concentration (AUClast). Dupilumab administration by both devices was well tolerated, and there were no serious adverse events, or severe treatment‐emergent adverse events experienced during the study. Overall, exposure to dupilumab 200 mg was comparable when administered via the AI or PFS‐S devices in healthy male and female study participants.
Secure lightweight multi‐party key agreement based on hyperelliptic curve Diffie–Hellman for constraint networks
Authors: Naresh Vankamamidi S. , Reddi Sivaranjani 
Published: March 2022

AbstractWith recent developments in hyperelliptic curve cryptographic system (HECC) processing and the proposed work, the myth that HECC is not suited for practical applications in constrained networks is dispelled. This article proposes dynamic authenticated contributory group key agreement (DACGKA) protocol using HEC‐DH. The DACGKA is less costly and ideally appropriate for resource‐restricted networks such as VANETs, MANETs, and WSNs because of its lesser key sizes and advancements in operational processing. The suggested protocol is implemented across a finite field using an HEC of genus 1 (ECC), genus 2, and genus 3, with promising results, including a significant reduction in key size and exchange overhead, an increase in key safety, and a broader range of applicability. According to a comparison of the proposed approach on different genus curves, HECC over genus 2 with a suitable key length can be applied for memory and power restricted devices to increase data secrecy and system efficiency. Further, HECC can outperform ECC for low‐cost, secure group communication applications. As a part of security analysis, first, we proved that each coordinate of HEC‐DH secret value is as hard as the entire DH value, and then concrete security proofs based on the HEC‐DLP were established.
Energy and cost aware workflow scheduling in clouds with deadline constraint
Authors: Medara Rambabu , Singh Ravi Shankar , Sompalli Mahesh 
Published: March 2022

AbstractCloud computing is a promising platform for executing scientific workflow applications. Commonly, the scientific workflow applications are complex in size and computation intensive. Task scheduling in clouds is a familiar NP‐complete problem. Efficient workflow application scheduling is critical for meeting multi‐objectives in cloud environments. By reason of its pivotal role, this problem has been widely studied, and many approaches have been developed. Most of the algorithms focus on schedule makespan and execution cost. The cloud data centers consume a large amount of energy while running workflow applications due to a lack of efficient scheduling algorithms to perform the task to a virtual machine (VM) mapping. Hence, there is a significant need to address energy utilization in the cloud data center (CDC) for two reasons such as data center operational cost optimization and to improve the environment. This article presents an energy and cost‐aware scheduling (ECWS) approach with the objectives of decreasing energy utilization, execution cost, and maximizing utilization of the resources. The ECWS algorithm is a heterogeneous earliest finish time (HEFT) based energy‐efficient heuristic for cloud scheduler. The ECWS algorithm includes three sub‐algorithms like RE calculation, RE Threshold selection, and slack algorithm. The effectiveness of the proposed algorithm is evaluated on the WorkflowSim tool using distinct workloads from various scientific areas. The experimental outcome exhibit that the proposed algorithm achieved significant energy conservation, maximized resource utilization, and cost‐saving when compared with related well‐known algorithms.
Pregnancy delivery mode prediction using dichotomous radial basis Tanimoto network
Authors: Devaraj Kavitha , Thangavel Balasubramanain 
Published: March 2022

AbstractData mining methods are typically employed in predictive analytics to obtain the valuable information and it has great attention in healthcare. Due to the extensive growth in healthcare communities, physicians detect the patients especially in the mode of delivery prediction during pregnancy. The early prediction of the mode of delivery assists to reduce the concern and pressure associated as well as the women in being emotionally and financially prepared. Recently, many methods have been developed to carry out the pregnancy delivery mode prediction but the accuracy of prediction was not improved with lesser time. Feature selection and classification methods are applied for predicting the delivery mode but, most of the delivery was not predicted with minimal time. Motivated by this fact, the novel machine learning technique is designed for analyzing certain risk factors and complications associated with the delivery. Through the risk factor analysis, the delivery prediction is efficiently performed with maximum accuracy and minimum time.
Securing the access control policies to the Internet of Things resources through permissioned blockchain
Authors: Rizzardi Alessandra , Sicari Sabrina , Miorandi Daniele , Coen‐Porisini Alberto 
Published: March 2022

AbstractSecurity and privacy of information transmitted among the devices involved in an Internet of Things (IoT) network represent relevant issues in IoT contexts. Guaranteeing effective control and supervising access permissions to IoT applications is a complex task, mainly due to resources' heterogeneity and scalability requirements. The design and development of highly customizable access control policies, along with an efficient mechanism for ensuring that the rules applied by the IoT platform are not tampered with or violated, will undoubtedly have a significant impact on the diffusion of IoT‐based solutions. In such a direction, the article proposes the integration of a permissioned blockchain within an honest‐but‐curious (i.e., not trusted) IoT distributed middleware layer, which aims to guarantee the correct management of access to resources by the interested parties. The result is a robust and lightweight system, able to manage the data produced by IoT devices, support relevant security features, such as integrity and confidentiality, and resist different kinds of attacks. The use of blockchain will ensure the tamper‐resistance and synchronization of the distributed system, where various stakeholders own applications and IoT platforms. The methodology and the proposed architecture are validated employing a test‐bed.
Dynamic topology control algorithm for node deployment in mobile underwater wireless sensor networks
Authors: Choudhary Monika , Goyal Nitin 
Published: March 2022

AbstractSensors in underwater wireless sensor networks (UWSNs) can drift up to 3 m/s due to ocean currents, marine organisms, or passing vessels. In existing node deployment and localization techniques, node mobility and network disconnections are not taken into account. This article proposes a dynamic topology control algorithm for node deployment (DTCND) in mobile UWSN. This work aims to monitor the node mobility to predict nodes' location for ensuring coverage and connectivity. The sensor nodes are deployed randomly at different depths. The anchor nodes observe the signal quality index, energy drain rate, and node density at every time interval and detect node disconnections based on the variations in these observed metrics. After receiving the beacon messages from the anchor nodes, the courier nodes incline to move toward the target region for satisfying the coverage and connectivity constraints. Simulation results show that the proposed algorithm attains 5% higher connectivity when compared to energy‐efficient localization algorithm (EELA) and 9% higher connectivity when compared to adaptive triangular deployment algorithm (ATDA). The residual energy is also higher by 3% and 18% when compared to EELA and ATDA, respectively. The deployment cost and delay of DTCND also decrease when compared to EELA and ATDA, which results into efficient data collection.