bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adverse analytical finding due to red blood cells transfusion: A rare case involving the diuretic dorzolamide
Authors: Kintz Pascal , Gheddar Laurie , Raul Jean‐Sébastien 
Published: July 2022

AbstractEarly November 2020 an Olympic gold medal winner returned during an out‐competition control an adverse analytical finding for dorzolamide, a diuretic mostly used to treat glaucoma. Estimated urine concentrations were 2.2 and 1.6 ng/ml in the A and B specimens, respectively. As the athlete denied any use of dorzolamide, a complex forensic investigation was suggested. It revealed that the athlete was severely injured during a car crash 6 months before where he received 2× 500 ml of red blood cells transfusion. One of the blood donors declared using dorzolamide. A plasma aliquot, stored for legal purposes, was tested by LC‐MS/MS several months later and contained 4.3 ng/ml of dorzolamide. Given the very long half‐life of the drug, up to 150 days and its reported incorporation into erythrocyte, it was accepted by the French antidoping administration (AFLD) that the source of contamination was this blood transfusion and that the antidoping rule violation was unintended.
Simulation of the potential distribution of rare and endangered Satyrium species in China under climate change
Authors: Ouyang Xianheng , Bai Shihao , Strachan Garry Brien , Chen Anliang 
Published: July 2022

AbstractSatyrium is an endangered and rare genus of plant that has various pharmacodynamic functions. In this study, optimized MaxEnt models were used in analyzing potential geographical distributions under current and future climatic conditions (the 2050s and 2070s) and dominant environmental variables influencing their geographic distribution. The results provided reference for implementation of long‐term conservation and management approaches for the species. The results showed that the area of the total suitable habitat for Satyrium ciliatum (S. ciliatum) in China is 32.51 × 104 km2, the total suitable habitat area for Satyrium nepalense (S. nepalense) in China is 61.76 × 104 km2, and the area of the total suitable habitat for Satyrium yunnanense (S. yunnanense) in China is 89.73 × 104 km2 under current climatic conditions. The potential suitable habitat of Satyrium is mainly distributed in Southwest China. The major environmental variables influencing the geographical distribution of S. ciliatum were isothermality (bio3), temperature seasonality (bio4), and mean temperature of coldest quarter (bio11). Environmental variables such as isothermality (bio3), temperature seasonality (bio4), and precipitation of coldest quarter (bio19) affected the geographical distribution of S. nepalense; and environmental variables such as isothermality (bio3), temperature seasonality (bio4), and lower temperature of coldest month (bio6) affected the geographical distribution of S. yunnanense. The distribution range of Satyrium was extended as global warming increased, showing emissions of greenhouse gases with lower concentration (SSP1‐2.6) and higher concentration (SSP5‐8.5). According to the study, the distribution of suitable habitat will shift with a change to higher elevation areas and higher latitude areas in the future.
Revascularization for controlling hypertension and improving cardiorenal failure in Leriche syndrome
Authors: Takagi Sho , Hirano Keisuke , Nakasu Akio , Yanagisawa Junji , Goto Yoshihiro , Okawa Yasuhide 
Published: July 2022

AbstractLeriche syndrome usually occurs when atherosclerotic obstructions result in luminal narrowing of the abdominal aorta or iliac arteries and leads to thrombosis; it rarely causes heart or renal failure. We report the case of a 58‐year‐old Asian man with heart and renal failure as the dominant clinical manifestations of renovascular hypertension caused by Leriche syndrome. We performed an aorto‐bifemoral bypass and unilateral renal artery stenting. Post‐operative echocardiography showed improved cardiac function, with the left ventricular ejection fraction increasing from 30% before surgery to 54.2% after surgery. Moreover, his heart rate and blood pressure became stable, and his serum creatinine and brain natriuretic peptide levels decreased from 3.46 to 1.08 mg/dL and 685 to 4 pg/mL, respectively. Our case report shows that aorto‐bifemoral bypass and unilateral renal artery stenting can effectively treat heart and renal failure resulting from renovascular hypertension caused by Leriche syndrome.
Optimization on information freshness for multi‐access users with energy harvesting cognitive radio networks
Authors: Wang Junyan , Jia Xiangdong , Chen Zhi , Zhang Xin 
Published: July 2022

AbstractFor the multi‐access channel wireless sensor network scenario with limited channel resources, the transmission of real‐time information needs to consider the channel environment, spectrum utilization and the freshness of information. First, we present a cognitive network model where secondary user (SU) shares the primary user (PU) spectrum through the underlay scheme. The sensor nodes with energy harvesting (EH) capabilities dynamically monitor changes in the surrounding environment and transmit status updates to the common secondary destination node. Considering the stability of the data queue in the SU as well as the working state and stable service interference constraints of PU, an optimization problem of minimizing the average AoI and average peak AoI (PAoI) of the EH node is proposed. Second, two policies are used to solve the above problems, including the decentralized probabilistic‐random‐access (PRA) policy and the drift plus penalty (DPP) policyin. In PRA policy, two SU nodes make independent transmission decisions based on corresponding probability distributions, and in DPP policy, the Lyapunov optimization framework is used to optimize scheduling decisions in the timeslots for optimizing the age of data packets. The simulation results show that the optimization of AoI under the DPP policy is more significant than the PRA policy, which can effectively improve the timeliness and freshness of data packets.
A novel Hypertuned Prophet based power saving approach for IoT enabled smart homes
Authors: Sharma Deepak Kumar , Jain Vidhi , Dhingra Bhavya , Datta Gupta Koyel , Ghosh Uttam , Al‐Numay Waleed 
Published: July 2022

AbstractRecent advances in energy conversion, information technology, the internet, new types of web, and communication technologies have enabled the interconnection of all physical objects, including sensors and actuators. Web‐enabled smart objects have paved the way for smart homes by enabling innovative services. In this work, the idea of using time series analysis based on machine learning and forecasting considering the weather conditions is discussed, to enhance automation and improve intelligence. The proposed Prophet model is used to predict the future net energy consumption and generation for improving energy efficiency and enabling power backup. Energy efficiency is the need of the hour, wherein major utilization of energy is in the residential sector, it is gravely important to analyze current generation and consumption and act accordingly for the future predicted results. Moreover, smart homes are dependent on web technologies and telecommunication for the operation of every action, which makes it crucial to have necessary power backup. The Prophet forecasting model, after parameter tuning and logistic growth pattern with additional regressors, gives only 0.27 mean absolute error and 0.13 mean squared error for predicting future energy consumption as compared to other models.
Preparation, binding behaviours and thermal stability of inclusion complexes between (Z)‐jasmone and acyclic cucurbit[n]urils
Authors: Yin Peipei , Zhang Shuqing , Liu Jing , Liao Xiali , Zhou Guiyuan , Yang Jing , Wang Baoxing , Yang Bo 
Published: July 2022

Abstract(Z)‐jasmone is the most important contribution to the scents of perfumes and cosmetics. However, (Z)‐jasmone is water insoluble and highly volatile, which limits its development and application. Inclusion technology has become a promising strategy to improve the solubility and stability of hydrophobic small molecules. Here, we used saturated aqueous solution and freeze‐drying method to prepare solid inclusion complexes of (Z)‐jasmone and three acyclic cucurbit[n]urils (ACBs, M1‐M3), and studied their binding behaviours by fluorescence spectroscopy, NMR, XRD, FT‐IR, TG and DSC, confirming the formation of the host‐guest inclusion complexes. The stoichiometry of inclusion complexes was 1:1 by Job's plot. The inclusion complexes exhibited better water solubility, higher thermal stability and heat‐controlled release comparing with that of native (Z)‐jasmone. This work uncloses a new strategy to enhance the performance of essential oil and flavours/fragrances and further application in the field of cosmetic and food industry.
Systematic review of head and neck lymphedema assessment
Authors: Fadhil Matthew , Singh Ravjit , Havas Thomas , Jacobson Ian 
Published: July 2022

AbstractHead and neck lymphedema (HNL) is an increasingly recognized complication of head and neck cancer and its treatment. However, no consensus exists on the “gold‐standard” assessment tool for the purposes of diagnosis, classification, or monitoring of HNL. We conducted a systematic review of the literature regarding HNL assessment to determine the optimal method/s of assessment for patients with HNL. A review of publications between January 2000 and September 2021 was undertaken on four electronic databases. Studies were excluded if no clear assessment method of HNL was documented. Sixty‐seven articles were included in the study. A wide range of assessment methods for HNL have been reported in the literature. For the purposes of diagnosis and classification of physical findings, computed tomography (CT) appears the most promising tool available for both external and internal HNL. In terms of monitoring, ultrasound appears optimal for external HNL, while a clinician‐reported rating scale on laryngoscopy is the gold standard for internal HNL. Patient‐reported assessment must be considered alongside objective methods to classify symptom burden and monitor improvement with treatment.
A social network perspective on workplace inclusion: The role of network closure, network centrality, and need for affiliation
Authors: Grosser Travis J. , Sterling Christopher M. , Piplani Rohit S. , Cullen‐Lester Kristin L. , Floyd Theresa M. 
Published: July 2022

AbstractOrganizations are increasingly recognizing the important role employee inclusion perceptions play in promoting positive employee attitudes and behaviors. Although social networks are frequently cited as being a driver of perceived inclusion, little empirical work has examined the social network conditions that give rise to it. We address this gap by examining how both network position (indegree centrality) and network structure (network closure) relate to perceived workplace inclusion. We test our hypotheses with a sample of 364 professionals in a multinational pharmaceutical firm. We find that both indegree centrality and network closure are positively related to perceived workplace inclusion. The relationship between network centrality and perceived workplace inclusion is strengthened by a high level of network closure. In addition, the relationship between network closure and perceived workplace inclusion is strengthened by a high level of need for affiliation. Our results, therefore, suggest that both network centrality and closure play an important role in employee perceptions of inclusion and demonstrate the importance of considering need for affiliation as a boundary condition. We conclude by discussing the implications of these findings for theory and practice.
Targeting breast cancer with a combination of DNT and LAG3 checkpoint blockage and its mechanism
Authors: Wang Miao , Wei Yuhan , Li Yingrui , Li Hongzhong , Jin Jiangtao , Lu Yuting , Li Qin 
Published: July 2022

AbstractIntroductionThe characteristics of the tumor immune microenvironment (TIME) are closely related to immunotherapy. Breast cancer can benefit from immunotherapy, and its TIME is still unclear.MethodsWe utilized mass cytometry to explore the immune cell heterogeneity in breast cancer. Double‐negative T cells (DNTs) from healthy volunteers (HBs) were enriched in vitro. Flow cytometry was used to detect the cell surface receptors of cancer cells and DNT cells. The correlation between immune checkpoints and the abundance of immune cells or prognosis of breast cancer was analyzed by the TCGA database. The messenger RNA (mRNA) expression of functional genes was performed by quantitative real‐time PCR.ResultsWe found that the frequencies of Granzyme B (GZMB)+CD8+T and GZMB+DNT cells in cancer tissues (CA) of breast cancer were lower than those in blood samples of patients (PB), and the frequencies of programmed cell death protein 1 (PD1)+CD8+T and PD1+DNT cells in CA were higher than those in PB. DNTs from HBs had a cytotoxic effect on MDA‐MB‐231. LAG3Ab could upregulate the mRNA expression of interferon gamma and perforin by increasing T‐BET transcription to enhance the cytotoxicity of DNT cells in vitro.ConclusionOur study revealed the suppressive status of TIME in breast cancer and supported DNT cells had the potential to be applied as a novel adoptive cell therapy for TNBC either alone or combined with LAG3Ab.
Influenza incidence overlapped with COVID‐19 or under COVID‐19 control measures
Authors: Shokri Azad , Moradi Ghobad , Moradpour Farhad , Mohamadi Bolbanabad Amjad , Younesi Fatemeh , Daftarifard Parisa , Ebrazeh Ali 
Published: July 2022

AbstractIntroductionCOVID‐19 pandemic caused infection when influenza was still prevalent. This study was conducted to examine influenza incidence overlapped with COVID‐19 and the effect of the COVID‐19 measures on influenza incidence as a proxy.MethodsThe routine sentinel surveillance data on COVID‐19 and influenza was obtained from the national integrated care electronic health record system. Data were collected in 28 points from 11 months before the outbreak (from March 2019 to January 2020) and 17 months after the outbreak (February 2020 to June 2021).ResultsIn Iran, the incidence rate of influenza was 51.1 cases per 100,000 populations in November 2019, while it was only 0.1 in November 2020. The average number of influenza cases specifically for the Kurdistan province during the seasonal flu peak in 2019–2020 was 2.5 cases per 100,000 populations, while the average of influenza cases in the preceding 4 years was 0.4 cases per 100,000 populations. In other words, the seasonal peak of influenza in Iran was significantly higher than that of previous and after years.ConclusionIt seems that some of the nonpharmaceutical interventions (NPIs) used to control COVID‐19 are effective against influenza epidemics and the results indicated a marked decline in the number of influenza cases may cause after the implementation of public health measures for COVID‐19. The results showed the seasonal peak of influenza in Iran was significantly higher than that of previous years, so it seems that the influenza winter peak season (November 2019) overlapped with SARS‐CoV‐2 causing observed undetected infection during influenza winter peak.
Inversion of loading‐implicit adsorption isotherms by means of the Lambert W function
Authors: Brião Giani de Vargas , Chu Khim Hoong 
Published: July 2022

AbstractBackgroundSimple isotherm models, such as the Langmuir and Freundlich equations, are frequently used to correlate water contaminant adsorption data. In the conventional data fitting approach, the Langmuir and Freundlich equations are fitted to experimental data by minimizing the difference between the measured and calculated adsorbed phase concentrations. However, some isotherm equations are implicit in adsorbed phase concentration. Such isotherms must be converted to explicit forms to allow the use of standard nonlinear regression methods in data correlation. This paper explores the use of the Lambert W function to invert the loading‐implicit isotherms of Elovich, Volmer, and Jossens to solve for adsorbed phase concentration as a function of liquid phase concentration.ResultsThe inverted Elovich, Volmer, and Jossens isotherms were fitted to literature adsorption data of water contaminants using the standard nonlinear regression procedure in Excel. Data fitting was accomplished by making use of a freely available Excel add‐in and a highly accurate analytical approximation to evaluate the Lambert W function. The inverted isotherms were tested against the experimental isotherms of cobalt, uranium, and cephalosporin C. In all cases studied, satisfactory fits were obtained, validating the practicability of the proposed data fitting approach.ConclusionsThe loading‐implicit Elovich, Volmer, and Jossens isotherms can be formulated as loading‐explicit equations in terms of the Lambert W function, thus allowing the use of conventional least‐squares fitting procedures in data correlation. The practical implementation of the Lambert W function in Excel provides a novel method to fit loading‐implicit isotherms to experimental data of water contaminants. © 2022 Society of Chemical Industry (SCI).
Point of care testing to monitor INR control in patients with antiphospholipid syndrome
Authors: Masucci Michael , Li Kam Wa Annabelle , Shingleton Emilia , Martin Jonathan , Mahir Zahra , Breen Karen 
Published: July 2022

AbstractPatients with antiphospholipid syndrome (APS) typically require lifelong warfarin anticoagulation following a thrombotic event due to a significant risk of recurrent thrombosis. Point of care testing (POCT) to monitor INR is discouraged in patients with APS as interactions between antiphospholipid antibodies and thromboplastin used for INR testing may influence results. Review of INR testing in 36 APS patients showed 87.2% of paired POCT and venous INRs (n = 94) having acceptable variation (≤0.5 difference), and high correlation (r = 0.9) excluding INRs ≥4.8. Six‐month TTR was comparable for APS patients using POCT (57.1% ± 24.8%) to those using venous INR monitoring (59.2% ± 23.2%) (p = 0.66). These results support POCT management of APS but requires further study.
Haematological and biochemical pathology markers for a predictive model for ITU admission and death from COVID‐19: A retrospective study
Authors: Rasarathnam Anuja , Haynes‐Smith Terrence , Wassif Wassif S. , Dodd Michael S. 
Published: July 2022

AbstractCoronavirus disease (COVID‐19) caused by SARS‐CoV‐2 has affected over 227 countries. Changes in haematological and biochemical characteristics in patients with COVID‐19 are emerging as important features of the disease. This study aims to identify the pathological findings of COVID‐19 patients at Bedford Hospital by analysing laboratory parameters that were identified as significant potential markers of COVID‐19. Patients who were admitted to Bedford Hospital from March–July 2020 and had a positive swab for COVID were selected for this study. Clinical and laboratory data were collected using ICE system. Multiple haematological and biochemistry biomarkers were analysed using univariate and multivariate logistic regression to predict intensive therapy unit (ITU) admission and/or survival based on admission tests. Neutrophil‐to‐lymphocyte ratio (NLR) and C‐reactive protein were elevated in most patients, irrespective of ITU status, representing a common outcome of COVID‐19. This was driven by lymphopenia in 80% and neutrophilia in 42% of all patients. Multivariate logistic regression identified an increase in mortality associated with greater age, elevated NLR, alkaline phosphatase activity and hyperkalaemia. With the area under the receiver operating characteristic (ROC) curve of 0.706 +/− 0.04117, negative predictive value (NPV) 66.7% and positive predictive value (PPV) 64.9%. Analysis also revealed an association between increases in serum albumin and potassium concentrations and decreases in serum calcium, sodium and in prothrombin time, with admission to ITU. The area under the ROC curve of 0.8162 +/− 0.0403, NPV 63.3% and PPV 80.5%. These data suggest that using admission (within 4 days) measurements for haematological and biochemical markers, that we are able to predict outcome, whether that is survival or ITU admission.
Using a mixed‐methods approach to adapt an HIV stigma reduction intervention to address intersectional stigma faced by men who have sex with men in Ghana
Authors: Nyblade Laura , Stockton Melissa A. , Saalim Khalida , Rabiu Abu‐Ba'are Gamji , Clay Sue , Chonta Mutale , Dada Debbie , Mankattah Emmanuel , Vormawor Richard , Appiah Patrick , Boakye Francis , Akrong Ransford , Manu Adom , Gyamerah Emma , Turner DeAnne , Sharma Karan , Torpey Kwasi , Nelson LaRon E. 
Published: July 2022

AbstractIntroductionIn Ghana, men who have sex with men (MSM) are estimated to be 11 times more likely to be living with HIV than the general population. Stigmas at the intersection of HIV, same‐sex and gender non‐conformity are potential key drivers behind this outsized HIV disease burden. Healthcare workers (HCWs) are essential to HIV prevention, care and treatment and can also be sources of stigma for people living with HIV and MSM. This article describes the process and results of adapting an evidence‐based HIV stigma‐reduction HCW training curriculum to address HIV, same‐sex and gender non‐conformity stigma among HCWs in the Greater Accra and Ashanti regions, Ghana.MethodsSix steps were implemented from March 2020 to September 2021: formative research (in‐depth interviews with stigma‐reduction trainers [n = 8] and MSM living with HIV [n = 10], and focus group discussions with HCWs [n = 8] and MSM [n = 8]); rapid data analysis to inform a first‐draft adapted curriculum; a stakeholder adaptation workshop; triangulation of adaptation with HCW baseline survey data (N = 200) and deeper analysis of formative data; iterative discussions with partner organizations for further refinement; external expert review; and final adaptation with the teams of HCWs and MSM being trained to deliver the curriculum.ResultsKey themes emerging under four immediately actionable drivers of health facility intersectional stigma (awareness, fear, attitudes and facility environment) informed the adaptation of the HIV training curriculum. Based on the findings, existing curriculum exercises were placed in one of four categories: (1) Expand—existing exercises that needed modifications to incorporate deeper MSM and gender non‐conformity stigma content; (2) Generate—new exercises to fill gaps; (3) Maintain—exercises to keep with no modifications; and (4) Eliminate—exercises that could be dropped given training time constraints. New exercises were developed to address gender norms, the belief that being MSM is a mental illness and stigmatizing attitudes towards MSM.ConclusionsGetting to the “heart of stigma” requires understanding and responding to both HIV and other intersecting stigma targeting sexual and gender diversity. Findings from this study can inform health facility stigma reduction programming not only for MSM, but also for other populations affected by HIV‐related and intersectional stigma in Ghana and beyond.