bluuebunny/crossref_metadata_2025_split huggingface dataset:
Allergic patients during the COVID‐19 pandemic—Clinical practical considerations: An European Academy of Allergy and Clinical Immunology survey
Authors: Alvaro‐Lozano Montserrat , Sandoval‐Ruballos Mónica , Giovannini Mattia , Jensen‐Jarolim Erika , Sahiner Umit , Tomic Spiric Vesna , Quecchia Cristina , Chaker Adam , Heffler Enrico , Klimek Ludger , Brough Helen , Sturm Gunter , Untersmayr Eva , Bonini Mateo , Pfaar Oliver 
Published: January 2022

AbstractBackgroundThe COVID‐19 pandemic has affected health care systems unexpectedly. However, data focusing on practical considerations experienced by health care professionals (HCPs) providing care to allergic patients is scarce.MethodsUnder the framework of the European Academy of Allergy and Clinical Immunology (EAACI), a panel of experts in the field of immunotherapy developed a 42‐question online survey, to evaluate real‐life consequences of the COVID‐19 pandemic in allergy practice.ResultsThe respondents in the survey were 618. About 80% of HCPs indicated being significantly affected in their allergy practice. A face‐to‐face visit reduction was reported by 93% of HCPs and about a quarter completely interrupted diagnostic challenges. Patients with severe uncontrolled asthma (59%) and anaphylaxis (47%) were prioritized for in‐person care. About 81% maintained an unaltered prescription of inhaled corticosteroids (ICS) in asthmatics. About 90% did not modify intranasal corticosteroids (INCS) in patients with allergic rhinitis. Nearly half of respondents kept biological prescriptions unmodified for asthma. About 50% of respondents kept their allergen immunotherapy (AIT) prescription patterns unchanged for respiratory allergies; 60% for insect venom allergies. Oral immunotherapy (OIT) for food allergies was initiated by 27%. About 20% kept carrying out up‐dosing without modifications and 14% changed to more prolonged intervals. Telemedicine practice was increased.ConclusionsHCPs providing care to allergic patients were affected during the pandemic in diagnostic, management, and therapeutic approaches, including AIT for respiratory, insect‐venom, and food allergies. Most HCPs maintained controller treatments for both asthma, and allergic rhinitis consistent with international recommendations, as well as biological agents in asthma. Remote tools are valuable in delivering allergy care.
Single‐stage photovoltaic system design based on energy recovery and fuzzy logic control for partial shading condition
Authors: Kandemir Ekrem , Cetin Numan Sabit , Borekci Selim 
Published: January 2022

AbstractMultiple local maximum power points occur in the power–voltage characteristic curve of the photovoltaic (PV) systems due to use of bypass diodes under partial shading conditions, and this also leads to decrease the maximum power level of the PV system. This paper proposes an energy recovery‐based PV system to enhance maximum power level and working efficiency under partial shading conditions. In this study, a 350‐W PV system design and application, which can operate at maximum power point under partial shading condition, is made using two 175‐W PV panels. The main purpose of the system is to maintain power generation from the shaded PV panel by energy recovery circuit without any damage on the PV panels and also connect PV panels to the grid by single power circuit. To perform the maximum power point tracking (MPPT) task for the PV system, a single input variable used fuzzy logic control (FLC)‐based MPPT method is developed. Therefore, this study investigates and analyzes energy recovery connected and fuzzy logic control‐based MPPT controlled PV system under partial shading conditions. Effectiveness of the proposed system has been verified through simulation and experimental results.
Pollen–insect interaction meta‐networks identify key relationships for conservation in mosaic agricultural landscapes
Authors: Hall Mark A. , Stavert Jamie R. , Saunders Manu E. , Barr Shannon , Haberle Simon G. , Rader Romina 
Published: January 2022

AbstractFlower visitors use different parts of the landscape through the plants they visit, however these connections vary within and among land uses. Identifying which flower‐visiting insects are carrying pollen, and from where in the landscape, can elucidate key pollen–insect interactions and identify the most important sites for maintaining community‐level interactions across land uses. We developed a bipartite meta‐network, linking pollen–insect interactions with the sites they occur in. We used this to identify which land‐use types at the site‐ and landscape‐scale (within 500 m of a site) are most important for conserving pollen–insect interactions. We compared pollen–insect interactions across four different land uses (remnant native forest, avocado orchard, dairy farm, rotational potato crop) within a mosaic agricultural landscape. We sampled insects using flight intercept traps, identified pollen carried on their bodies and quantified distinct pollen–insect interactions that were highly specialized to both natural and modified land uses. We found that sites in crops and dairy farms had higher richness of pollen–insect interactions and higher interaction strength than small forest patches and orchards. Further, many interactions involved pollinator groups such as flies, wasps, and beetles that are often under‐represented in pollen–insect network studies, but were often connector species in our networks. These insect groups require greater attention to enable wholistic pollinator community conservation. Pollen samples were dominated by grass (Poaceae) pollen, indicating anemophilous plant species may provide important food resources for pollinators, particularly in modified land uses. Field‐scale land use (within 100 m of a site) better predicted pollen–insect interaction richness, uniqueness, and strength than landscape‐scale. Thus, management focused at smaller scales may provide more tractable outcomes for conserving or restoring pollen–insect interactions in modified landscapes. For instance, actions aimed at linking high‐richness sites with those containing unique (i.e., rare) interactions by enhancing floral corridors along field boundaries and between different land uses may best aid interaction diversity and connectance. The ability to map interactions across sites using a meta‐network approach is practical and can inform land‐use planning, whereby conservation efforts can be targeted toward areas that host key interactions between plant and pollinator species.
Reducing eating disorder risk among male athletes: A randomized controlled trial investigating the male athlete body project
Authors: Perelman Hayley , Schwartz Natalie , Yeoward‐Dodson Jennifer , Quiñones Isabel C. , Murray Matthew F. , Dougherty Elizabeth N. , Townsel Raven , Arthur‐Cameselle Jessyca , Haedt‐Matt Alissa A. 
Published: January 2022

AbstractObjectiveNo study to date has investigated an intervention program for male athletes that targets eating disorder risk factors. The purpose of this study was to measure the effects of the Male Athlete Body Project (MABP), an adaptation of the Female Athlete Body Project on body dissatisfaction, drive for muscularity, body‐ideal internalization, and muscle dysmorphia.MethodParticipants were 79 male collegiate athletes who were randomized to the MABP (n = 39) or an assessment‐only control condition (n = 40). All participants completed psychometrically validated measures at three time points: baseline, post‐treatment (3 weeks after baseline for the control condition), and 1‐month follow‐up.ResultsHierarchical Linear Modeling assessed differences between conditions across time. Interaction effects revealed that participation in the MABP improved satisfaction with specific body parts and reduced drive for muscularity and body‐ideal internalization at post‐treatment compared to a control group. Athletes in the MABP also reported increased body areas satisfaction and reductions in drive for muscularity at 1‐month follow‐up. Reductions in supplement use were observed at 1‐month follow‐up only.DiscussionThis study provides preliminary evidence of the efficacy of the MABP in reducing some eating disorder risk factors up to 1 month after the intervention; follow‐up study considerations are discussed.Clinical Trial Registration Number: NCT04077177Public SignificanceThis study highlights the importance of eating disorder and body image intervention efforts for male athletes. Findings suggest that male college athletes who attended a 3‐session group intervention based on a well‐established program for college women experienced an increase in satisfaction with specific body areas and a reduction in some eating disorder risk factors (e.g., drive for muscularity, supplement use, and body‐ideal internalization) compared to a control group.
The association between episodes of night eating and levels of depression in the general population
Authors: Kim Woorim , Ju Yeong Jun , Lee Soon Young 
Published: January 2022

AbstractObjectiveResearch has suggested that a correlation may exist between depressive mood and episodes of night eating. This study aimed to examine whether having episodes of night eating was associated with increased levels of depression.MethodThis study used data from the 2019 Korea Community Health Survey and the study population consisted of adults aged ≥19 years. Depression levels were measured using the Patient Health Questionnaire‐9. We investigated the patients' general characteristics using t‐tests and analysis of variance. The association between depression levels and episodes of night eating was analyzed using a multivariable linear regression analysis. Subgroup analysis was conducted based on daily sleep duration.ResultsWe analyzed 34,358 individuals and found higher average depression scores (β: 4.99, p < .001) in those with episodes of night eating than those without. Large effect sizes were found for differences in depression scores between participants with and without episodes of night eating. The magnitude of this increase was particularly pronounced in individuals who reported 9 or more hours of sleep per day.DiscussionAn association was found between levels of depression and episodes of night eating as individuals with episodes of night eating were more likely to have higher depression scores. Our findings suggest the potential need to consider night eating when addressing the mental health of the general population.
Molecular and Electronic Structures of a Series of Dinuclear CoII Complexes Varied by Exogeneous Ligands: Influence of π‐Bonding on Redox Potentials
Authors: Depenbrock Felix , Limpke Thomas , Stammler Anja , Oldengott Jan , Bögge Hartmut , Glaser Thorsten 
Published: January 2022

AbstractFour dinuclear CoII complexes have been synthesized and structurally characterized with the dinucleating ligand susan (susan=4,7‐dimethyl‐1,1,10,10‐tetra(2‐pyridylmethyl)‐1,4,7,10‐tetraazadecane) varying in the exogeneous ligands: [(susan){CoII(CH3CN)2}2](PF6)4, [(susan){CoIICl}2](ClO4)2, [(susan){CoIIBr}2](ClO4)2, and [(susan){CoII(μ‐OH)CoII}](ClO4)3. The CoII ions are six‐coordinate with CH3CN ligands and five‐coordinate with anionic ligands. The electronic absorption spectra reflect the differences in the electronic structures, not only between the six‐ and five‐coordinate complexes, but also between the five‐coordinate complexes. These variations are also reflected in the magnetic properties with the highest orbital angular momentum contribution in six‐coordinate [(susan){CoII(CH3CN)2}2](PF6)4. The lower symmetry in the five‐coordinate complexes reduces the orbital angular momentum contribution. The hydroxo‐bridged complex [(susan){CoII(μ‐OH)CoII}](ClO4)3 exhibits an additional antiferromagnetic interaction. The electrochemical characterization reveals that the π‐acceptor ligand CH3CN facilitates not only reduction from CoII to CoI but also oxidation to CoIII, while the π‐donor ligands Br−, Cl−, and μ‐OH− impede both reduction to CoI and oxidation to CoIII. [(susan){CoII(CH3CN)2}2](PF6)4 and [(susan){CoIICl}2](ClO4)2 show electrocatalytic proton reduction at a potential of ≈−1.9 V vs Fc+/Fc that is associated with a ligand‐centered reduction.
Electrochemically Surface‐modified Aluminum Electrode Enabling High Performance and Ultra‐long Cycling Life Al‐ion Batteries
Authors: Go Hyungho , Raj Michael Ruby , Tak Yongsug , Lee Gibaek 
Published: January 2022

AbstractInnovation in electronic devices has created a demand for energy storage systems. Recently, rechargeable Al‐ion batteries (AIBs) have received significant attention owing to their high gravimetric capacity and low cost. In this study, the electrochemical performances of pristine, etched, and electropolished Al negative electrodes via surface modification were investigated to determine their efficiency in AIBs. Herein, pristine, etched, and electropolished Al acted as the negative electrodes (anodes), and pure graphite and aluminum chloride (AlCl3)/1‐ethyl‐3‐methylimidazolium chloride ([EMIm]Cl) were used as the positive electrode (cathode) and ionic liquid electrolyte, respectively. This new type of electropolished Al‐based battery cell shows good cyclability and high performance compared to pristine and etched Al electrodes. The electropolished Al electrode stabilized at an average capacity of 50 mAh g−1 over 10,000 cycles at an ultrafast current rate of 5,000 mA g−1.
Influence of blade number on performance of multistage hydraulic turbine in turbine mode
Authors: Zhang Lihong , Li Yanpin , Zhang Zichao , Chen Jinbao , Chen Dexin 
Published: January 2022

AbstractCompared with the traditional reverse multistage pump as hydraulic turbine, hydraulic turbine in turbine mode (T‐type turbine) with low specific speed has higher single‐stage energy head, which can effectively reduce stages and increase the stability when it is used to recycle high residual pressure liquid. Blade number of runner is an important design parameter, which has great influence on the performance of T‐type hydraulic turbine and need to be further studied. Therefore, two‐stage T‐type turbine models with different blade numbers are established through numerical simulation. Then, the accuracy of numerical simulation is verified by test. Finally, the performance and pressure fluctuating characteristics of turbine with different blade numbers are obtained. The results show that: (a) Taking same blade numbers in both stages (traditional design method), the turbine efficiency can be higher with the blade number of primary runner and secondary runner are 14, but resulting the superposition of pulsation in secondary runner; (b) Taking different blade numbers in both stages, respectively, the superposition of pulsation can be effectively avoided, which also leads to the increase in efficiency, and up to 81.169%; (c) The method of using different number of blades in different stages can replace the traditional design method and effectively improve the hydraulic performance of T‐type hydraulic turbine.
Use of gravimetric measurements to calibrate thermal dissipation probes with stem segments
Authors: Zeng Xiangming , Xu Xianli , Zhong Feixia , Xu Tianyue , Luo Wei , Yi Ruzhou , Li Xuezhang 
Published: January 2022

AbstractTree transpiration is an important part of the global water cycle, and it is frequently represented by sap flow measurements at the individual plant scale. The thermal dissipation probes (TDPs) are commonly employed to measure and calculate sap flows, for which Granier equation is generally used. However, the original Granier equation has been found to underestimate sap flow rates. Calibration methods using different materials (i.e., whole trees or stem segments) have been proposed to recalibrate TDPs; however, these methods are often either expensive or complicated. This study proposes a new device that uses the gravimetric measurement method (GMM) to recalibrate TDPs. The GMM is relatively simple and easy to conduct. The proposed device uses a tube and siphon to maintain a constant pressure; an electronic balance is used to measure the actual sap flow. Four plant species with different stem porosity types, Pyrus pyrifolia (diffuse‐porous), Quercus fabri (ring‐porous), Platycarya strobilacea (ring‐porous) and Kalopanax septemlobus (ring‐porous), were selected to examine the performance of the GMM. The results showed that: (1) good correlations were obtained between the actual sap flow (from gravimetric measurements) and sap flow estimates obtained using the original TDP technique; (2) the results of the GMM‐recalibrated TDP measurement equation greatly differed from those of the original Granier calibration equation; and (3) the recalibration equation derived from the GMM outperformed the original Granier equation. This study suggests that the developed GMM can be used to recalibrate TDPs, and that using this method can help to improve sap flow measurements, thereby improving estimates of tree water consumption and transpiration.
Is ovarian recovery after chemotherapy in young patients with early breast cancer influenced by controlled ovarian hyperstimulation for fertility preservation or tumor characteristics? Results of a prospective study in 126 patients
Authors: Mailliez Audrey , Pigny Pascal , Bogart Emilie , Keller Laura , D'Orazio Emmanuelle , Vanseymortier Marie , Le Deley Marie‐Cécile , Decanter Christine 
Published: January 2022

AbstractYoung individuals, aged <40 years, represent 7% of all patients with early breast cancer (EBC), most of whom receive chemotherapy. Preserving future fertility in these patients has become a major concern. This prospective study assessed ovarian function during and after chemotherapy according to patient and tumor characteristics and evaluated the outcome of controlled ovarian hyperstimulation (COH). Ovarian reserve was evaluated in terms of amenorrhea duration and by longitudinal serum anti‐Müllerian hormone (AMH) level variations measured at study entry, during treatment and until 24 months thereafter. COH has been proposed for patients receiving adjuvant chemotherapy. We studied the association between clinical factors and ovarian function using Cox models and logistic regression. In this young population (age < 38 years, median = 32), 85 of 90 evaluable patients (94%) experienced chemo‐induced amenorrhea, including six persistent amenorrhea and one chemotherapy‐induced definitive ovarian failure. Overall, 33% of patients still had undetectable AMH values 12 months after the end of chemotherapy, although most had recovered spontaneous and regular menstrual function. No specific factor was associated with clinical or biological late ovarian dysfunction, except for age and baseline AMH value. Overall, 58 patients underwent COH. The mean number of total retrieved oocytes and metaphase II oocytes were of 11.7 and 6.9, respectively. Thus, our study confirms the importance of fertility preservation in young patients with EBC. Our findings indicate that sequential chemotherapy is associated with a higher risk of persistent amenorrhea. There was no significant association between tumor characteristics, fertility preservation or recovery of ovarian reserve.
Detection and diagnosis ofCOVID‐19 infection in lungs images using deep learning techniques
Authors: Kumar Arun , Mahapatra Rajendra Prasad 
Published: January 2022

AbstractWorld's science and technologies have been challenged by the COVID‐19 pandemic. Each and every community across the globe are trying to find a real‐time novel method for accurate treatment and cure of COVID‐19 infected patients. The most important lead to take from this pandemic is to detect the infected patients as soon as possible and provide them an accurate treatment. At present, the worldwide methodology to detect COVID‐19 is reverse transcription‐polymerase chain reaction (RT‐PCR). This technique is costly and time taking. For this reason, the implementation of a novel method is required. This paper includes the use of deep learning analysis to develop a system for identifying COVID‐19 patients. Proposed technique is based on convolution neural network (CNN) and deep neural network (DNN). This paper proposes two models, first is designing DNN on the basis of fractal feature of the images and second is designing CNN using lungs x‐ray images. To find the infected area (tissues) of the lungs image using CNN architecture, segmentation process has been used. Developed CNN architecture gave results of classification with accuracy equal to 94.6% and sensitivity equal to 90.5% which is much better than the proposed DNN method, which gave accuracy 84.11% and sensitivity 84.7%. The outcome of the presented model shows 94.6% accuracy in detecting infected regions. Using this method the growth of the infected regions can be monitored and controlled. The designed model can also be used in post‐COVID‐19 analysis.
A deep learning classification of metacarpophalangeal joints synovial proliferation in rheumatoid arthritis by ultrasound images
Authors: Wu Min , Wu Huaiuy , Wu Lili , Cui Chen , Shi Siyuan , Xu Jinfeng , Liu Yan , Dong Fajin 
Published: January 2022

AbstractObjectiveTo evaluate if an automatic classification of rheumatoid arthritis (RA) metacarpophalangeal joint conditions in ultrasound images is feasible by deep learning (DL) method, to provide a more objective, automated, and fast way of RA diagnosis in clinical setting.Materials and MethodsDenseNet‐based DL model was used and both training and testing are implemented in TensorFlow 1.13.1 with Keras DL libraries. The area under curve (AUC), accuracy, sensitivity, and specificity values with 95% CIs were reported. The statistical analysis was performed by using scikit‐learn libraries in Python 3.7.ResultsA total of 1337 RA ultrasound images were acquired from 208 patients, the number of images is 313, 657, 178, and 189 in OESS Grade L0, L1, L2, and L3, respectively. In Classification Scenario 1 SP‐no versus SP‐yes, three experiments with region of interest of size 192 × 448 (Group 1), 96 × 224 (Group 2), and 96 × 224 stacked with pre‐segmented annotated mask of SP area (Group 3) as input achieve an AUC of 0.863 (95% CI: 0.809, 0.917), 0.861 (95% CI: 0.805, 0.916), and 0.886 (95% CI: 0.836, 0.936), respectively. In Classification Scenario 2 Healthy versus Diseased, experiments in Group 1, Group 2 and Group 3 achieve an AUC of 0.848 (95% CI: 0.799, 0.896), 0.864 (95% CI: 0.819, 0.909), and 0.916 (95% CI: 0.883, 0.952), respectively.ConclusionWe combined DenseNet model with ultrasound images for RA condition assessment. The feasibility of using DL to create an automatic RA condition classification system was also demonstrated. The proposed method can be an alternative to the initial screening of RA patients.