bluuebunny/crossref_metadata_2025_split huggingface dataset:
A remote attestation model and protocol for multimedia mobile edge computing security
Authors: Zhang Zhiyong , Shao Dongxia , Zhang Lili , Gupta Brij B. 
Published: May 2022

Abstract
At the present, participants in the multimedia mobile edge computing (MMEC) environment encrypt multimedia data when the Terminal communicates with mobile edge computing cloud or central cloud, ensuring data confidentiality and transmission security. However, there is no authentication of the platform identities' authenticity for participants and verification of the devices' integrity; this is a challenging problem. Therefore, this paper proposes a novel remote attestation model and protocol for the security of MMEC, namely MMECRA model and protocol. Firstly, participants from the MMECRA model and protocol execute some operations to comprehensively guarantee data security, platform identity security, and integrity state-maintained, such as mutual identity anonymous authentication, mutual integrity measurement, and mutual integrity verification operations. Then, the formal analysis with Burrows-Abadi-Needham (BAN) logic and the analysis of important security performance show that the protocol is superior to the existing security schemes in terms of privacy protection ability and anti-attack ability. Moreover, the simulation results demonstrate that the MMECRA protocol in the state of non-intensive multimedia resource requests can effectively reduce the computational cost.
WITHDRAWN: Cognitive Behavior Therapy (CBT), Islam-Based Interventions (IBIs) and Pharmacotherapy (PTh) for Patients with Major Depressive Disorder-Mild (MDD-m): A Randomized Control Trial
Authors: Abbas Qasir , Shahbaz Nudrat , Rauf Umara , Anwar Nida , Baig Khawar Bilal ,   6.	Zoobia Ramzan, Shahzadi Mafia 
Published: May 2022

Abstract

Background
Major depressive disorders (MDD) is common worldwide, and it causes significant functional impairment. Evidence-based therapies significantly address MDD symptoms severity; therefore, we aimed to investigate the effectiveness of pharmacotherapy (PTh), cognitive behaviour therapy (CBT), and Islam-based interventions (IBIs) to treat symptoms severity of patients MDD-m.
Methods
This RCT was conducted by the Department of Applied Psychology, Government College University Faisalabad, from December 20, 2020, to October 31, 2021, at different hospitals in Faisalabad, Pakistan. Patients with MDD-m were allocated to three different evidence-based treatment approaches (i.e. PTh, CBT, & IBIs). Patients Health Questionnaire; Positive & Negative Affect Scale, Digit Span Scale, Standard Progressive Matrices, Self-Esteem Scale and Decision-Making Questionnaire were administered. SPSS version 27 was used to analyze the data.
Results
A total of 210 were approached, 159 were assessed for eligibility, and 118 met the inclusion criteria, including males 66(55.94%) and females 52(44.06%) with the age range of 22 to 46 years. Findings reported all the treatment interventions produced significant treatment outcomes to reduce the depressive symptoms and improve memory, reasoning ability, decision-making skills, self-esteem, and wellbeing. PTh was an effective supportive intervention, while CBT and IBIs played an effective role as reeducative constructive therapies.
Conclusion
All three interventions seem to be effective for major depressive disorder with mild severity, and CBT and IBIs emerged as more efficient and constructive therapies for MDD-m.
Global warming impairs the chemical attractiveness to pollinators
Authors: Cordeiro Guaraci , Dötterl Stefan 
Published: May 2022

Abstract
Global warming is expected to impact the chemical communication between flowering plants and their pollinators. Here, we aimed to test by chemical analytical, electrophysiological, and behavioral approaches whether temperature-induced shifts in floral scent of strawberry (Fragaria x ananassa) affect chemical communication with its main bee pollinators (Apis mellifera, Bombus terrestris, Osmia bicornis). While strawberry flowers in the optimum scenario released 10.4 ng/flower/hour, mainly p-anisaldehyde (81%) and seven other scent compounds, in the warmer scenario, the flowers did not emit any detectable scent. In the behavioral experiments, the pollinators were attracted by the scents of the optimum scenario. We predict that the absence of detectable scent emissions from strawberry plants grown under heat stress will drastically reduce the attractiveness of the flowers to the pollinators. Our study raises important ecological and agricultural questions, as decreased attractiveness of flowers to pollinators might result in insufficient pollination with negative consequences for ecosystem functioning and crop yields.
The top 50 cited classic publications on clubfoot research: A bibliometric analysis
Authors: Shu Boshen , Ou Xuehai , Geng Peishuo , Hu Leiming 
Published: May 2022

Abstract
Background: The publication citation number incarnates the impact of the article in a special research field. Bibliometric analysis regarding the top cited publications has been extensively used in orthopedics and its subspecialties. Whereas， to our knowledge, no bibliometric analysis in clubfoot research area has been made. We aimed to identify and analyze the characteristics of the top 50 cited publications on clubfoot. Methods: Publications on clubfoot from 1945 to 2022 were retrieved from the Web of Science (WoS) core collection database. Different aspects of top 50 cited articles, including titles, journals, authors, decades, citation number, institutions, countries, topics, study types, evidence levels, impact factor, impact index were recorded and analyzed.Results: The top 50 cited papers were published from 1962 to 2011 with total citation number ranged from 380 to 63. The 2000s was the most productive decade. Fifteen journals constituted of top 50 publications. United States hold the majority of originated countries, followed by United Kingdom and France. Outcome was the most popular topic discussed. Level III was the most common evidence level in top 50 cited articles. Clinical studies constituted the most of publications.Conclusions: This study may present valuable insights into the development of clubfoot research and provide help for researchers who want to obtain the important information on the classic publications.
Assessment of the Performance of selected Special Care Newborn Units (SCANUs) in Bangladesh
Authors: Sharmin Shamina , Matin Md Ziaul , Kim Minjoon , Sayem Abu Sadat Mohammad , Rahman Fazlur , Abdu Abu Sayeed Md. , Chaudhury Mowla Baksh , Halim Abdul 
Published: May 2022

Abstract
Background: Government of Bangladesh initiated the Special Care Newborn Units (SCANU) in 2011 at selected district hospitals followed by its scale up in other districts with support from UNICEF and other partners. The objective of the study was to assess the performance of those SCANUs in Bangladesh.Methods: A cross-sectional study approach was applied for assessment of the performance of SCANU facilities compared to facilities without SCANU. Fifteen facilities with SCANUs and 5 facilities without SCANUs were selected from eight divisions of the country for the study. The selected SCANU and Non-SCANU facilities were of secondary level hospital with similar patient flow and workload. Quantitative data were collected from direct observation of the 20 facilities and interviews with 678 caregivers using a field-tested questionnaire. Caregivers were mothers of the infants (≤ 59 days old) who were admitted and stayed for at least one day in those hospitals. Analysis was done using Stata version 15.1 and presented in tabular, graphical and numerical measures of central tendency and dispersion.Result: The results of the assessment found that 60% of SCANU facilities had KMC care services and 27% of SCANU facilities had rooming in services and special sick baby ward services but no such services was available in non-SCANU facilities. Equipment in the SCANUs such as resuscitation bag and mask, radiant warmers, phototherapy machines and to a large extent CPAP machines and Oxygen blenders were mostly available and functioning optimally. More than half of the SCANUs still need to have oxygen blenders, CPAP machines and transcutaneous bilirubinometers since they were not found/functional during the assessment. Majority of SCANU facilities 60%-80% reported no stock-outs of critical medications like dexamethasone, ceftriaxone and gentamicin which are critical for management of preterm and sick babies. A web-based online ‘Individual Case Tracking’ system has been developed for online reporting from all SCANUs by the Health Management Information System (HMIS) of the DGHS. UNICEF is supporting its linkage to the district health information system (DHIS-2). There was a statistically significant difference between SCANUs and non-SCANUs with respect to the proportions of admissions. SCANUs are acting as referral destination for sick and small newborns as 41%-45% of the admitted newborns were either were born at home or in other facilities.Conclusions: The assessment findings will be helpful for country strategy for improving newborn care through expansion of SCANU expansion throughout the country.Trial registration: Not applicable in this study
CT-Based Radiomics Analysis of Consolidation Characteristics in Differentiating Pulmonary Disease of Nontuberculous Mycobacterium from Tuberculosis
Authors: Yan Qinghu , Feng Binbin , Wei Zhichao , Xue Feng , Wang Wuzhang , Chi Jingyu , Cui Jia , Zhang Ran , Yu Dinxin , Kong Hai Li 
Published: May 2022

Abstract
Background: Nontuberculous mycobacteria (NTM) grows slowly, the course of disease is longer than that of tuberculosis (TB), and the resistance rate to first-line anti tuberculosis drugs is high, so the overall cure rate is low. Radiomics is a new image processing technology developed in recent years. In this study, CT-based radiomics features are evaluated to differentiatenon NTM pulmonary disease with consolidation characteristics from PTB with similar consolidation characteristics. Methods: A total of 156 patients (75 NTM pulmonary disease and 81 PTB) with the Consolidation were evaluated. 305 regions of interest of CT consolidation were outlined. 80% of consolidations were allocated to the training set and 20% to the validation set using a random number generated by a computer. Three supervised learning classifiers (KNN, SVM and LR models) were used to analyze the features. Results: 63 optimal features were selected by these three methods. The AUC (sensitivity, specificity) for the training and validation cohorts were 0.98 (0.90, 0.94) and 0.97 (0.87, 0.97) for KNN, respectively; 0.99 (0.94, 0.93) and 0.96 (0.80, 0.97) for SVM, respectively; and 0.98 (0.96, 0.97) and 0.95 (0.88, 0.87) for LR, respectively. Precision, Recall and F1-scores determined that KNN performed better at diagnosing early NTM pulmonary disease, with the values of the above three indexes being 0.89 and 0.97 and 0.93, respectively.Conclusion: CT-based radiomics analysis consolidation features can provide effective proof in distinguishing the NTM pulmonary disease from PTB.Among the three classifiers, KNN classifier has the best performance in identifying two diseases.
Almost sure stability of Caputo Fractional-order Markovian switching nonlinear systems
Authors: Wang Qixiang , Long Fei , Mo Lipo , Yang Jing 
Published: May 2022

Abstract
In this paper, we address the almost sure stability problem of Caputo fractional-order Markovian switching nonlinear systems. Firstly, for the globally asymptotic stability almost surely (GAS a.s.) and exponential stability almost surely (ES a.s.) of Caputo fractional-order Markovian switching nonlinear systems (CFMNSs) with the constant lower bound initial time, some sufficient conditions are given by the stochastic Multi-Lyapunov function and probability analysis method. Then, for CFMNSs with the variable lower bound initial time, a resetting CFMNSs model is constructed to update synchronously the lower bound initial time and the corresponding initial state value of the above-mentioned system with the change of switching. After that, for CFMNSs with the variable lower bound initial time under the resetting means, the sufficient conditions of GAS a.s. and ES a.s. are given using the probability analysis method and stochastic Multi-Lyapunov function, respectively. Finally, numerical examples show that our results are effective.
Women’s perspectives on the acceptability and feasibility of an HPV screen-and- treat approach to cervical cancer prevention in Iquitos, Peru: a qualitative study
Authors: Morse Rachel , Brown Joanna , Noble Helen E. , López Jennifer Ríos , Kohler-Smith Anna , Soto Sandra , Hidalgo Daniel Lenin Cuadro , Díaz Karina Gonzales , Escudero Magaly Figueredo , Aguila Gladys Giannina Vasquez , Carrillo Lita , Palacios Victor A. , Ortiz Carlos Santos , Delgado Hermann Federico Silva , Gravitt Patti E. , Paz-Soldan Valerie A. 
Published: May 2022

Abstract
Background: The objective of this study was to explore women’s experiences of a screen-and-treat approach with ablative therapy (referred to by the Spanish acronym TVT-TA) as a method of treatment following a positive HPV test in Iquitos, Peru. Methods: A total of 111 in-depth interviews were conducted with 47 HPV positive women who attended the TVT-TA procedure at a primary-level healthcare facility. Interviews were conducted immediately before, immediately after, and six-weeks after TVT-TA. Results: Most interviewed women reported experiencing moderate pain during ablative therapy and minimal pain immediately after and six weeks after ablative therapy. Women also stated that the pain was less intense than they had expected. The most common physical aftereffects of treatment were bleeding and vaginal odor. Women experienced oscillating emotions with fear upon receiving a positive HPV result, calming after hearing about ablative therapy treatment, worry about pain from the treatment itself, relaxation with counseling about the procedure, and relief following treatment. Conclusions: Nearly all participants emphasized that any pain experienced during TVT-TA was worth it, recommended that TVT-TA be expanded and available to more women, and stated that TVT-TA was faster and easier than expected. This study found that TVT-TA is a feasible and acceptable means of treating HPV according to the women receiving the treatment.
Bone wax reduces blood loss in unicompartmental knee arthroplasty for osteoarthritis
Authors: Shi Sifeng , Lu Wenhai , Zha Guochun , Lin Qiang 
Published: May 2022

Abstract
Background: Unicompartmental knee arthroplasty (UKA) offer less trauma, faster recovery in the treatment of osteoarthritis of knee. Bone oozing in UKA may result in hematoma and complications after operation.Methods: Visible blood loss and total blood loss were evaluated. Hb level of the patient postoperation was recorded. Circumference of knee was measured after operation.Visual analog scale (VAS) score were used and severe pain rate was caculated. Other complication such as wound healing, hemoarthrosis, infection, deep vein thrombosis (DVT), and transfusion were recorded.Results: Bone wax group had less total blood loss(215.55.3±50.6 ml in group A, 236.74±48.5ml in group B; P = 0.023) The mean circumference of knee increased 2.73cm(range 1.5-4.1cm) in group B and 1.65cm (range 1.2-3.4cm)in group A at 3 days postoperation and the difference was significant(p<0.001). The rate of severe pain occured was significantly lower in group A than in group B (8.6%vs 22.4% p=0.040). Patients in bone wax group were more satisfied with UKA (89.7% in groupA, 74.1% in group B p=0.030). There was no infection occurred and blood transfusion was not performed in any patient. 2 patients in group A and 7 patients in group B underwent knee cavity aspiration due to hemoarthrosis.There was 1patient experienced delayed wound healingin both groups and 1 DVT in group B.Conclusion: Use of bone wax can reduce blood loss in UKA, and it do not increase the rate complications at short-term follow-up. More degradable bone waxes with good biocompatibility should be further investigated.
Smoke-weather interaction feeds extreme wildfires in Mediterranean and monsoon climate regimes
Authors: Ding Aijun , Huang Xin , Ding Ke , Liu Jingyi , Wang Zilin , Tang Rong , Xue Lian , Wang Haikun , Zhang Qiang , Tan Zhe-Min , Fu Congbin , Davis Steven , Andreae Meinrat 
Published: May 2022

Abstract
Extreme wildfires increasingly threaten human lives, infrastructure, air quality, and ecosystem services. Meteorology plays a vital role in wildfire activities, and thus the relationship between wildfire intensity and climate change has been widely studied. However, it remains unclear how fire-weather interactions affect short-term fire variability (e.g., 1–2 weeks), which in turn undermines our ability to mitigate fire disasters despite substantial progress in weather forecasting. Here we show the primacy of synoptic-scale feedbacks in driving extreme fires in both Mediterranean and monsoon climate regimes in United States West Coast and Southeastern Asia. In our modeling, radiative ef-fects of smoke aerosols tend to modify wind speed, air dryness, and rainfall, and hence substantially amplify severe air pollution by enhancing fire emissions and weakening smoke dispersion. Such fire-weather interactions form a positive feedback loop that may contribute to large increases in air-pollution mortality during extreme wildfires. Our study underscores the urgency of fundamental understanding of fire-weather interaction and points to a key opportunity for reducing extreme wildfires in populated coastal regions.
Good Practices and Recommendations for Using and Benchmarking Computational Metabolomics Metabolite Annotation Tools
Authors: de Jonge Niek F. , Mildau Kevin , Meijer David , Louwen Joris R. , Bueschl Christoph , Huber Florian , Hooft Justin J.J. van der 
Published: May 2022

Abstract
1.1 BackgroundUntargeted metabolomics approaches obtain comprehensive profiles of complex samples. However, on average only 10% of the molecules can be annotated. This low annotation rate hampers biochemical interpretation and effective comparison of metabolomics studies. Furthermore, de novo structural characterization remains a complicated and time intensive process. Recently, the field of computational metabolomics has gained traction and novel methods have started to enable large-scale and reliable metabolite annotation. Molecular networking and machine learning based in-silico annotation tools have been shown to greatly assist metabolite characterization in diverse fields such as clinical metabolomics and natural product discovery.1.2 Aim of reviewWe highlight recent advances in computational metabolite annotation workflows with a special focus on their evaluation and comparison with other tools. Whilst the progress is substantial and promising, we also argue that inconsistencies in benchmarking different tools hamper users in selecting the most appropriate and promising method for their research. We summarize benchmarking strategies of the different tools and outline several recommendations for benchmarking and comparing novel tools.1.3 Key scientific concepts of reviewThis review focuses on recent advances in mass spectral library-based and machine learning-supported metabolite annotation workflows. We discuss large-scale library matching and analogue search, the current bloom of mass spectral similarity scores, and how molecular networking has changed the field. In addition, the potentials and challenges of machine learning-supported metabolite annotation workflows are highlighted. Overall, recent developments in computational metabolomics have started to fundamentally change metabolomic workflows, and we expect that as a community we will be able to overcome current method performance ambiguities and annotation bottlenecks.
The potential use of acylglycerols on the thermal inactivation of lactic acid bacteria for the manufacture of long-life fermented products
Authors: Huerta-González Luis , López-Valdez Fernando , Luna-Suárez Silvia 
Published: May 2022

Abstract
The effect of acylglycerols on the thermal inactivation of lactic acid bacteria was studied because of their importance as starter cultures in the production of fermented products. The starting point was the observation of an increase in thermal sensitivity when an emulsifier based on mono- and diacylglycerols was present in the culture medium. Analysis of the emulsifier showed that monoacylglycerols were the compounds responsible for this effect, with monopalmitin being the major contributor. Monostearin, on the other hand, showed a significantly lower potentiating effect. Interestingly, monoacylglycerols showed a greater bactericidal effect when used individually than when used in combination. On the other hand, the rate of thermal inactivation observed in reconstituted skim milk emulsions was lower than in peptonized water emulsions, showing that the presence of proteins and colloidal particles increased the resistance of bacteria to heat treatment. With respect to pH values, a reduction in pH from 6.6 to 5.5 promoted an increase in the rate of thermal death. However, at pH = 5.5, the enhancing bactericidal effect was only detectable at lower temperatures but not at higher temperatures. This finding is of interest, since it will allow the design of moderate thermal treatments, combining the use of temperature with the addition of acylglycerols, to prolong the shelf life of fermented products with lactic acid bacteria, and minimizing the destruction of desirable compounds that were obtained because of the fermentation process.
Universal Ligand-Assisted Supermolecular Strategy to Synthesize Single-Atom Catalysts for Solar-to-Ethanol Conversion
Authors: Zhang Longshuai , Wu Feiyao , Jiang Xunheng , Meng Fanqi , Liu Haiyan , Sun Qing , Yu Shimin , Wu Meifeng , He Shun , Lu Xin , Cui Yitao , Dai Weili , Ma Tianyi , Li Hui , Zou Jian-Ping , Luo Xubiao 
Published: May 2022

Abstract
Single-atom catalysts (SACs) have attracted significant attention; however, their catalytic properties are not satisfactory due to the sparse and inhomogeneity of the single-atom sites. Herein, we report a novel ligand-assisted supermolecular (LASM) strategy for the preparation of carbon nitride (CN)-supported SACs (M1-CNs) with controllable and high active metal loadings. The ligands in the metal chelates can immobilise the metal and control their type and content, while the formed hydrogen-bonded supermolecules can inhibit the fusion of the CN precursor. Therefore, M1-CN SACs (M: Cr, Mn, Fe, Co, Ni, Cu, Zn, Pd, Ag, and Cd) and multiple-metals SACs (Mα 1/Mβ 1-CNs: Fe/Cu and Cu/Zn/Ag) were successfully prepared. The as-synthesizd Cu1-CN have a record-high loading of 9.75 at.%. Notably, Cu1-CNs with high loadings achieved highly selective solar-driven photoreduction of CO2 to ethanol, a breakthrough result in the field of 100% C2+ product construction using SACs, which stands among the best solar-to-ethanol single-atom photocatalysts up to date. Combining experimental evidence including X-ray absorption analysis and theoretical calculations, revealed that the Cu1-CN with high loading promoted the C–C coupling of *CO intermediate products. This work provides a novel strategy for the controllable preparation of M1-CNs and for the design of SACs with high selectivity and efficiency for the photoreduction of CO2 to C2+ products.