bluuebunny/crossref_metadata_2025_split huggingface dataset:
CUR(E)ating a new approach to study fungal effectors and enhance undergraduate education through authentic research
Authors: Li Gengtan , McWilliams Mai , Rodrigues Matheus , Mearkle Benjamin , Jaafar Nader , Golla Vivek , Yu Houlin , Yang He , Ayhan Dilay Hazal , Allen Kelly , Martínez‐Soto Domingo , Springer Amy , Ma Li‐Jun 
Published: September 2023

AbstractCourse‐based Undergraduate Research Experiences (CUREs) integrate active, discovery‐based learning into undergraduate curricula, adding tremendous value to Biochemistry and Molecular Biology (BMB) education. There are multiple challenges in transforming a research project into a CURE, such as the readiness of students, the time commitment of the instructor, and the productivity of the research. In this article, we report a CURE course developed and offered in the University of Massachusetts Amherst BMB Department since 2018 that addresses these challenges. Our CURE focuses on fungal effectors which are proteins secreted by a destructive pathogenic fungus Fusarium oxysporum, one of the top five most devastating plant pathogens. By studying this group of proteins, students are connected to real‐world problems and participate in the search for potential solutions. A 3‐week “standard Boot Camp” is implemented to help students familiarize themselves with all basic techniques and boost their confidence. Next, molecular cloning, a versatile technique with modularity and repeatability, is used as the bedrock of the course. Our past 5 years of experience have confirmed that we have developed a novel and feasible CURE protocol. Measurable progress documented by students who took this course includes stimulated active learning and increased career trajectory to pursue hypothesis‐based research to address societal needs. In addition, data generated through the course advance ongoing lab research. Collectively, we encourage the implementation of CURE among research‐intensive faculty to provide a more inclusive research experience to undergraduate students, an important element in predicting career success.
Residue levels and risk assessment of acetamiprid–pyridaben mixtures in cabbage under various open field conditions
Authors: Dong Bizhang , Hu Jiye 
Published: September 2023

AbstractAcetamiprid and pyridaben are highly efficient insecticides widely used to protect leafy vegetables against various pests, such as Phyllotreta striolata, but analyses of their residual behaviors applied in mixtures in cabbage fields are primarily lacking. Herein, field trials were performed by spraying 50% acetamiprid–pyridaben wettable powder (50% WP) once at a dose of 150 g of active ingredient per hectare in 12 representative provinces of China under Good Agricultural Practices. The residues of acetamiprid and pyridaben were detected using modified Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) and liquid chromatography–tandem mass spectrometry, together with an assessment of their dietary risks. The average recoveries of the two insecticides were 84.6–104%, and the relative standard deviations were 0.898–10.1%. The residual concentrations of acetamiprid and pyridaben at the preharvest interval of 7 days were <0.364 and 0.972 mg/kg, respectively, and less than their maximum residue limits in cabbage (0.5 mg/kg for acetamiprid and 2 mg/kg for pyridaben) in China. The chronic and acute risk values of acetamiprid and pyridaben were 0.0787–33.3%, implying acceptable health hazards to Chinese consumers. In conclusion, applying 50% WP in cabbage fields under Good Agricultural Practices is acceptable. These results provide essential data for using mixtures of acetamiprid and pyridaben in cabbage fields.
rTMS targeted to the secondary somatosensory cortex influences sleep in CRPS patients, as measured with the OURA ring
Authors: Vanhanen Jukka , Kujala Jan , Liljeström Mia , Kalso Eija , Virkkala Jussi , Harno Hanna 
Published: September 2023

AbstractIntroductionChronic pain associates with various sleep problems. Patients with complex regional pain syndrome (CRPS) often report impaired sleep, but objective measurements of sleep in CRPS patients are scarce. Neuromodulation with repetitive transcranial magnetic stimulation (rTMS) can alleviate pain and improve sleep. Secondary somatosensory cortex (S2) is a possible rTMS target for the treatment of chronic pain, but the effect of S2‐targeted rTMS on sleep is unknown.MethodsThis randomized, sham‐controlled trial assessed the effect of S2‐targeted rTMS on sleep in patients with CRPS. Patients (n = 31) received either S2‐targeted rTMS (10 Hz) or sham stimulation for 3 weeks. The effect of treatment on sleep was assessed with validated questionnaires, with a sleep and pain diary, and with a consumer‐grade sleep tracker, the Oura ring. In addition to an ordinary univariate analysis of the results, we conducted multivariate testing of the Oura data using linear discriminant analysis (LDA).ResultsS2‐targeted rTMS decreased sleep restlessness that significantly differed between the rTMS and sham stimulation patient groups (p = .028). In the multivariate analysis of the Oura data, LDA classification accuracy to separate the rTMS and sham groups exceeded 95% confidence level in four out of the seven tested models. In the subjective evaluation of sleep, the effect of rTMS and sham did not differ.ConclusionS2‐targeted rTMS influenced sleep in patients with CRPS. Improved sleep may enhance CRPS symptom alleviation and be of clinical importance. A univariate analysis could separate the rTMS and sham treatments. The multivariate analysis revealed that including multiple sleep‐related parameters can be beneficial when analyzing rTMS effects on sleep. As sleep is related both to pain and quality of life, and sleep rTMS can be directly affected by rTMS, objective monitoring of sleep in various future rTMS trials could be fruitful.
Analyzing drivers of sustainable project‐driven supply chains: A fuzzy Delphi methodology–grey relational analysis approach
Authors: Shishodia Anjali , Sharma Rohit , M.R. Pavithra , Mathiyazhagan K. 
Published: September 2023

AbstractA sustainable project‐driven supply chain (SPDSC) refers to integrating sustainability into project management to improve the sustainability performance of projects. Integrating sustainability and supply chain management is any project‐based organization's most significant performance‐related challenge. Therefore, the present study explores the drivers that can effectively tackle supply chain issues in managing projects undertaken in construction contracting firms for long‐term sustainability. Sixteen critical drivers were considered through a rigorous literature review and fuzzy Delphi method (FDM) for construction contracting firms. Then, selected drivers were used to analyze established construction contracting firms using a grey relational analysis (GRA) technique. The results highlight that construction contracting firms (CCFs) considered the drivers of sustainable use of resources, energy and eco‐efficiency, and environmental impact assessment; stakeholder engagement and social impact; and supply chain collaboration dimensions need to be improved for enhancing the sustainability of PDSCs. This study's contribution is twofold: It quantifies the identified set of critical drivers relevant to SPDSCs; it offers the CCFs a practical toolkit for sustainable project deliverables.
Ping‐pong snaring of a totally dislodged stent across left main ostium: “All is not lost”
Authors: Restivo Attilio , Stanzione Alessio , Maffeo Diego , Buono Andrea 
Published: September 2023

AbstractUndeployed stent loss is a rare but potentially serious complication of percutaneous coronary intervention. Its management is not assisted by well‐defined guidelines, and it is made even more difficult when the dislodged stent is not protected by in situ guidewire. In this work, we present the case of a total stent loss with a crushed device protruding out of the left main. In this hopeless circumstance, an innovative ping‐pong technique was used to contralaterally perform a successful stent retrieval.
Bioinspired Hydrophobicity for Enhancing Electrochemical CO2 Reduction
Authors: Bai Jingwen , Wang Wenshuo , Liu Jian 
Published: September 2023

AbstractElectrochemical carbon dioxide reduction (CO2R) is a promising pathway for converting greenhouse gasses into valuable fuels and chemicals using intermittent renewable energy. Enormous efforts have been invested in developing and designing CO2R electrocatalysts suitable for industrial applications at accelerated reaction rates. The microenvironment, specifically the local CO2 concentration (local [CO2]) as well as the water and ion transport at the CO2–electrolyte–catalyst interface, also significantly impacts the current density, Faradaic efficiency (FE), and operation stability. In nature, hydrophobic surfaces of aquatic arachnids trap appreciable amounts of gases due to the “plastron effect”, which could inspire the reliable design of CO2R catalysts and devices to enrich gaseous CO2. In this review, starting from the wettability modulation, we summarize CO2 enrichment strategies to enhance CO2R. To begin, superwettability systems in nature and their inspiration for concentrating CO2 in CO2R are described and discussed. Moreover, other CO2 enrichment strategies, compatible with the hydrophobicity modulation, are explored from the perspectives of catalysts, electrolytes, and electrolyzers, respectively. Finally, a perspective on the future development of CO2 enrichment strategies is provided. We envision that this review could provide new guidance for further developments of CO2R toward practical applications.
Chiral recognition mechanism studies of Tyr‐Arg‐Phe‐Lys‐NH2 tetrapeptide on crown ether‐based chiral stationary phase
Authors: Upmanis Toms , Sevostjanovs Eduards , Kažoka Helena 
Published: September 2023

AbstractEven though chiral recognition for crown‐ether CSPs is generally understood, on a molecular level, exact mechanisms for the resolution are still unclear. Furthermore, short peptide analytes often contain multiple amino moieties capable of binding to the crown ether selector. In order to extend the understanding in chiral recognition mechanisms, polar organic mode separation of Tyr‐Arg‐Phe‐Lys‐NH2 tetrapeptide llll/dddd enantiomers on S‐ and R‐(3,3′‐diphenyl‐1,1′‐binaphthyl)‐20‐crown‐6 stationary phases was studied with 50‐mM perchloric acid in methanol as mobile phase. Deviation from the generally acceptable 1:1 stoichiometry was supported by mass spectroscopy analysis of the formed complexes between tetrapeptide enantiomer and crown ether selectors, which revealed adducts possessing 1:1, 1:2, and 1:3 stoichiometry. Further investigation of complexation induced shifts by NMR indicated on different binding mechanisms between llll/dddd enantiomers of Tyr‐Arg‐Phe‐Lys‐NH2 and crown ether selectors. Enantioselective proton shifts were observed in studied tetrapeptide tyrosine and phenylalanine residues exclusively for llll enantiomer upon binding with S‐(3,3′‐diphenyl‐1,1′‐binaphthyl)‐20‐crown‐6 selector (and dddd enantiomer with R‐(3,3′‐diphenyl‐1,1′‐binaphthyl)‐20‐crown‐6 selector), indicating that these two amino acid residues contribute to chiral recognition. The obtained results were in agreement with the LC data.
The rationale for the development and publication of the World Health Organization reporting systems for cytopathology and a brief overview of the first editions of the lung and pancreaticobiliary systems
Authors: Field Andrew S. , Pitman Martha , Cree Ian A. , Canberk Sule , Bubendorf Lukas , Mahrotra Ravi , Schmitt Fernando 
Published: September 2023

AbstractThe International Academy of Cytology has joined with the International Agency for Research on Cancer and the World Health Organization (WHO) to develop international systems for reporting the cytopathology of lung, pancreas and biliary tract, lymph nodes, soft tissue, liver, breast, and kidney and adrenal gland. The WHO recently published the reporting systems for lung and pancreaticobiliary cytopathology. The objectives of this collaboration are to standardize the reporting of cytopathology; improve the quality of reporting by establishing the key diagnostic cytopathological features of entities and neoplasms; provide detailed best‐practice guidelines in sampling techniques, specimen handling and processing, and the use of ancillary techniques; and facilitate communication between cytopathologists and clinicians to improve patient care. Each WHO system has defined specific categories and terminology for reporting cytopathology, and each category has an estimated risk of malignancy as far as the current literature allows and a suggested diagnostic management algorithm to assist clinicians. The WHO systems recognize that local medical and pathology infrastructure will vary, particularly in low‐income and middle‐income countries, and the WHO systems and their diagnostic management recommendations have been developed to allow them to be applied worldwide in all resource settings. The process of the selection of editors and authors and the writing and editing responsibilities has used the same model as that used for the fifth edition WHO Classification of Tumours, to which the WHO cytopathology systems are directly linked. This review provides the rationale and history of this joint International Academy of Cytology, International Agency for Research on Cancer, and WHO cytopathology project and a brief overview of the WHO reporting systems for lung and pancreaticobiliary cytopathology.
Don't SUMP it! Utility of PLAG1 immunocytochemistry in basaloid SUMP subcategory
Authors: Sanchez‐Avila Monica , Tjendra Youley , Zuo Yiqin , Ruiz‐Cordero Roberto , Garcia‐Buitrago Monica , Jorda Merce , Gomez‐Fernandez Carmen , Velez Torres Jaylou M. 
Published: September 2023

AbstractBackgroundBasaloid salivary gland neoplasm of uncertain malignant potential (B‐SUMP) is an indeterminate diagnostic subcategory, with pleomorphic adenoma (PA) representing the most common benign neoplasm. Pleomorphic adenoma gene 1 (PLAG1) staining is frequently seen in PAs and could aid in distinguishing them from other basaloid neoplasms. The authors evaluated the utility of PLAG1 immunocytochemistry (ICC) in differentiating PAs from other basaloid neoplasms in smears and liquid‐based cytology (LBC) specimens.MethodsIn total, 45 B‐SUMP cytology aspirates and corresponding surgical excision specimens were identified. PLAG1 immunostaining was performed in all aspirates and surgical excision specimens and was scored as positive (strong/diffuse), equivocal (focal/weak), or negative.ResultsPLAG1 ICC was performed directly on 38 smears and seven LBC specimens. PLAG1 was positive in 29 of 45 cases (64%), whereas six of 45 (13%) were equivocal, and 10 of 45 (22%) were negative. PLAG1‐positive aspirates included 26 (90%) PAs, two (7%) basal cell adenomas (BCAs), and one (3%) carcinoma ex‐PA. PLAG1‐equivocal aspirates included four (67%) PAs and two (33%) BCAs, whereas negative aspirates included five (50%) BCAs, four (40%) adenoid cystic carcinomas, and one (10%) metastatic adenosquamous carcinoma. The sensitivity, specificity, positive, and negative predictive values were 87%, 86%, 93%, and 75%, respectively. Diagnostic accuracy was 87%.ConclusionsPLAG1 ICC is useful when positive (strong/diffuse) and can be reliably performed on smears and LBC specimens. PLAG1 was positive in most PAs and in a small subset of BCAs. Therefore, in the absence of atypical cytologic features, PLAG1‐positive tumors could be diagnosed as benign, with a note favoring PA versus BCA. In contrast, PLAG1‐negative/equivocal tumors should remain in the B‐SUMP category.
Relationship between color appearance evaluation and categorical color responses of small stimuli in central and near peripheral visual fields
Authors: Mogi Shuichi , Kamei Masafumi , Sakurai Masato , Ishikawa Tomoharu , Ayama Miyoshi 
Published: September 2023

AbstractThe appearance of color stimuli can be measured psychophysically using two major techniques: (1) elementary color naming and (2) categorical color naming. On the relation between the two naming techniques, a network model (published 20 years ago) autonomously labels colors without retrieving color names from a database and has the flexibility to adapt to individual differences or observing environments. However, this network model has not been recently applied in this context as few works have focused on two types of color naming experiments using the same observers and conditions, mainly because most studies focused either on continuous changes in color appearance or on categorical color perception and did not need to employ both techniques. In our previous study, new datasets of hue and saturation judgments with whiteness and blackness evaluations were obtained. The evaluation of these datasets included elementary color naming and categorical color naming using 11 basic color terms (BCTs) with 0.5°‐diameter stimuli presented at the center and 12 locations along the horizontal and vertical meridians in the visual field for three observers. The feasibility of applying the model to our new datasets in the center and near periphery has to be examined before utilizing the model for various applications. Gain factor values for each categorical color response (CCR) were individually optimized, and the same combination of gain factors were used for all locations for each observer. The results of the chi‐square goodness‐of‐fit test indicated that the response distribution estimated by the model (color names and “undefined”) was not significantly different from the experimental data obtained in 35 out of 39 conditions. The overall average of the correct estimation was 77%. The high estimation obtained from the same gain factor values is indicative of an invariant relationship between the two naming techniques, with up to 20° eccentricity. It also shows the model's plausibility in explaining individual differences among normal observers.
Improving prediction of computational job execution times with machine learning
Authors: Balis Bartosz , Lelek Tomasz , Bodera Jakub , Grabowski Michal , Grigoras Costin 
Published: September 2023

SummaryPredicting resource consumption and run time of computational workloads is crucial for efficient resource allocation, or cost and energy optimization. In this paper, we evaluate various machine learning techniques to predict the execution time of computational jobs. For experiments we use datasets from two application areas: scientific workflow management and data processing in the ALICE experiment at CERN. We apply a two‐stage prediction method and evaluate its performance. Other evaluated aspects include: (1) comparing performance of global (per‐workflow) versus specialized (per‐job) models; (2) impact of prediction granularity in the first stage of the two‐stage method; (3) using various feature sets, feature selection, and feature importance analysis; (4) applying symbolic regression in addition to classical regressors. Our results provide new valuable insights on using machine learning techniques to predict the runtime behavior of computational jobs.
Smart admission control strategy utilizing volunteer‐enabled fog‐cloud computing
Authors: Jangu Nupur , Raza Zahid 
Published: September 2023

AbstractFog computing has become an effective platform for computing delay‐sensitive IoT tasks. However, the increased scalability of IoT devices () makes it difficult for fog nodes to perform better. Volunteer computing (VC) has emerged as a supportive technology in which resource‐capable s, such as computers and laptops, share their idle resources to compute the IoT tasks. However, in VC‐based approaches, improper selection of volunteer nodes (VNs) may result in an increased failure rate and delay. To address these challenges, this work proposes a Smart Admission Control strategy utilizing volunteer‐enabled Fog‐Cloud computing (SAC‐VFC). The VNs are selected based on grey TOPSIS ranking. The incoming tasks are classified based on priority and delay and then scheduled using the Improved Jellyfish Algorithm (IJFA). Smart gateway (SGW) and fog manager (FM) act as mediators for allocating tasks among voluntary, fog, and cloud resources. FM performs a similarity‐based clustering of fog nodes using the enhanced Fuzzy C Means clustering (EFCM) algorithm to manage resources. Simulation study suggests the superior performance of SAC‐VFC over peers under comparison in terms of average delay, average makespan, success rate of tasks and tasks satisfying the deadline metrics.
Role of the tumour microenvironment in bladder cancer pathogenesis and value of the reverse translational approach: a tale of two species
Authors: Ahmed Basant H. , Zdyrski Christopher , Cheville John , Rancilio Nicholas , Abel Alex M. , Wierson Wesley A. , McGill Jodi L. , Mochel Jonathan P. , Allenspach Karin 
Published: September 2023

AbstractBackgroundBladder cancer is a significant malignancy in humans and canines, with high death rates and devastating clinical symptoms. Despite significant advances in therapeutic management over the years, only a small fraction of bladder cancer patients respond to immunotherapies as a second line of treatment. Since immunotherapies act on various cellular and molecular targets in the bladder cancer tumour microenvironment (TME), a greater understanding of the various types of immune cells, immune checkpoint molecules and cytokines involved in antitumour immunity will help to improve the success rate of current and novel immunotherapies, therefore enhancing the patients quality of life. Accumulating evidence shows fundamental similarities between human and canine muscle‐invasive bladder cancer (MIBC) in their clinical, histological and molecular features.AimThis review focuses on comparative aspects of MIBC in both species, highlighting the role that canines can play as a model for studying MIBC. Additionally, we discuss the various types of immune cells within bladder cancer TME that can influence the prognosis and response to immunotherapy and chemotherapy in both species.ConclusionIt remains challenging to recapitulate the heterogeneity and complexity of the bladder cancer tumour microenvironment using in vivo and in vitro models, such as zebrafish and 3D organoids models. Optimization of these techniques to create a more representative translational model has been facilitated through in vitro immune‐oncology cocultures, which are considered promising tools to help select the ideal individualized treatment options and predict disease prognosis.