bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the potential of SMEs to build individual, organizational, and community resilience through sustainability‐oriented business practices
Authors: DiBella Jose , Forrest Nigel , Burch Sarah , Rao‐Williams Jennifer , Ninomiya Scott Morton , Hermelingmeier Verena , Chisholm Kyra 
Published: June 2022

AbstractSmall‐ and medium‐sized enterprises (SMEs) can have significant resources, capacities, and influence in their communities, suggesting they have the potential to be agents for transformative sustainability. However, SMEs will need to move beyond firm‐centered sustainable business practices towards strategic approaches that encompass and contribute to resilience‐building processes. Amid the unfolding COVID‐19 pandemic, we explored what types of sustainable business practices of SMEs can contribute to individual, organizational, and community resilience. We identified six clusters of practice that are important in this regard. The clusters are not solely technical or “environmental” but rather illustrative of deeper sustainable values shaped by organizational structure, culture, and behavior. This paper suggests that SMEs can pursue transformative approaches to sustainability that are more environmentally, socially, and economically sustainable and better able to withstand shocks like the COVID‐19 pandemic and can be significant contributors to community resilience. We conclude with a series of future research priorities critical to examine a largely unexplored nexus in the private sector, the linkages and dynamics between sustainability practice, resilience building, and broader community pathways.
Human fetal mesenchymal stem cells secretome promotes scarless diabetic wound healing through heat‐shock protein family
Authors: Wang Bin , Pang Mengru , Song Yancheng , Wang Haixing , Qi Pan , Bai Shanshan , Lei Xiaoxuan , Wei Shikun , Zong Zhixian , Lin Sien , Zhang Xiaoting , Cen Xiaotong , Wang Xia , Yang Yongkang , Li Yuan , Wang Yan , Xu Hongjie , Huang Lin , Tortorella Micky , Cheng Biao , Lee Yukwai , Qin Dajiang , Li Gang 
Published: June 2022

AbstractThe high mortality rate of patients with diabetic foot ulcers is urging the appearance of an effective biomedical drug. Senescence is one of the major reasons of aging‐induced decline in the diabetic wound. Our previous studies have demonstrated the anti‐senescence effect of secretomes derived from human fetal mesenchymal stem cells (hfMSC). The present study tends to explore the potential role of hfMSC secretome (HFS) in wound healing through anti‐aging. Meanwhile, we try to overcome several obstacles in the clinical application of stem cell secretome. A verticle bioreactor and microcarriers are employed to expand hfMSC and produce the HFS on a large scale. The HFS was then subjected to lyophilization (L‐HFS). The PLGA (poly lactic‐co‐glycolic acid) particles were used to encapsulate and protect L‐HFS from degradation in the streptozotocin (STZ)‐induced diabetic rat model. Results showed that HFS‐PLGA significantly enhanced wound healing by promoting vascularization and inhibiting inflammation in the skin wound bed. We further analyzed the contents of HFS. Isobaric tag for relative and absolute quantitation (ITRAQ) and label‐free methods were used to identify peptides in the secretome. Bioinformatics analysis indicated that exosome production‐related singling pathways and heat‐shock protein family could be used as bio‐functional markers and quality control for stem cell secretome production.
Understanding general concepts of requirements engineering through design thinking: An experimental study with students
Authors: Tiwari Saurabh , Rathore Santosh S. 
Published: June 2022

AbstractTeaching requirements engineering (RE) is one of the challenging parts of any software engineering (SE) education curriculum because it deals with understanding the problem from multiple perspectives and acquiring a holistic view of the system. Academicians have adopted several innovative approaches to teaching RE concepts to students, and design thinking (DT) is one of them. DT integrates the needs of people, technology, and requirements and can help learn and apply human‐centered techniques to solve problems. An experimental study is conducted with 315 undergraduate students to realize how they can learn the RE process effectively by combining DT methods with the RE concepts for an effective RE education. This study intends to identify how this integration help students in using multiple elicitation methods, better visualization and understanding of the system requirements, and achieving various teaching objectives. An experimental study was planned and executed with students by integrating DT methods for RE activities from the beginning of problem definition to the final solution. The evaluation was done by collecting students' responses to pre‐survey and post‐survey questions capturing the students' perspectives on the RE and DT techniques. The students' responses suggested that the DT drive RE activities to improve their learning, thinking abilities, engagement with the team, and teamwork. Additionally, the students' artifacts during the DT process have also been evaluated. The use of DT methods helped in understanding the elicitation process and, consequently, helped reach the solution.
Diagnostic dilemma in diagnosing rare cause of protein losing enteropathy: Waldmann's disease
Authors: Prajapati Sarita , Bohara Sujan , Mainali Gaurab , Karki Samikshya , Thapa Sharan , Aryal Nirjala 
Published: June 2022

AbstractWaldmann's disease, or primary intestinal lymphangiectasia, is an unusual cause of protein‐losing enteropathy primarily characterized by lymphopenia, hypoalbuminemia, and hypogammaglobulinemia. However, variable clinical presentations result dilemmas in diagnosis and effective management. We present a toddler diagnosed with Waldmann's disease managed with a high‐protein diet and medium‐chain triglyceride supplementation.
A validated chiral chromatographic method for the enantiomeric separation of acalabrutinib
Authors: Rayala V. V. S. Prasanna Kumari , Trivedi Kashyap Ajaybhai , Upadhyayula Suryanarayana Murthy , Gunnam Srinivasu , Borkar Roshan M. , P Radhakrishnanand 
Published: June 2022

AbstractAcalabrutinib is aided in the treatment of various cancers, which acts by inhibiting Bruton tyrosine kinase. Acalabrutinib belongs to the imidazopyrazine class consisting of a chiral carbon, resulting in two enantiomers. Currently, no methods exist for the separation and quantification of these enantiomers. A novel and selective enantiomeric chromatographic technique has been established to estimate the enantiomeric purity of acalabrutinib. Chiral separation was carried out on an immobilized amylose‐based chiral stationary phase with methyl tert‐butyl ether/ethanol/ethylenediamine (60:40:0.1% v/v) mixture as a mobile phase. The total runtime is 20 min, and the resolution (Rs) between the enantiomers was more than 2.5. The detection and quantification thresholds for the R‐enantiomer were 0.06 and 0.2 μg mL−1, respectively, for a test concentration of acalabrutinib (1000 μg mL−1). The linearity of the technique for the R‐enantiomer was excellent (R2 > 0.999) over the range from the limit of quantification to 0.3%. Recovery of the R‐enantiomer was ranged from 95% to 102%, indicating the greater accuracy of the technique. For a 48‐h research period, the drug was shown to be stable.
Nachhaltigkeit in der Bioverfahrenstechnik
Authors: Strieth Dorina 
Published: June 2022

AbstractIn diesem Beitrag stellt sich die Nachwuchswissenschaftlerin Dr.‐Ing. Dorina Strieth vom Lehrgebiet Bioverfahrenstechnik der TU Kaiserslautern vor. Neben aktuellen Forschungsarbeiten und Lehraktivität berichtet sie über die Notwendigkeit des Wissenstransfers in die Zivilgesellschaft. Fachlich berichtet sie von aktuellen Ergebnissen der intelligenten Nutzung phototropher Biofilme sowie dem Potenzial zur biotechnologischen Herstellung nachhaltiger Baumaterialien.
Distributed estimation with empirical likelihood
Authors: Liu Qianqian , Li Zhouping 
Published: June 2022

AbstractWith the development of science and technology, massive datasets stored in multiple machines are increasingly prevalent. It is known that traditional statistical methods may be infeasible for analyzing large datasets owing to excessive computing time, memory limitations, communication costs, and privacy concerns. This article develops divide‐and‐conquer empirical likelihood (DEL) and divide‐and‐conquer exponentially tilted empirical likelihood (DETEL) methods for the distributed computing setting. We investigate the theoretical properties of the DEL and DETEL estimators. In particular, we derive upper bounds for the mean squared errors of the DEL and DETEL estimators, and, under some mild conditions, we prove the consistency and the asymptotic normality of the proposed estimators. Simulation studies and a real data analysis are carried out to demonstrate the finite‐sample performance of the proposed methods.
Performance of Ir(III)‐Based Anticancer Agents in the Treatment of Cisplatin‐Resistant Cancer Cells
Authors: Wang Meng‐Meng , Li Hao‐Ming , Deng Dong‐Ping , Su Yan , Su Zhi 
Published: June 2022

AbstractThe resistance of cancer cells to cisplatin has dramatically blocked the further application of this drug in practical treatment settings. The generation of cisplatin resistance is a complex physiological process, and several mechanisms have been reported for this. New metal‐based agents with distinct anticancer mechanisms are still highly desired. In this concept article, we describe Ir(III)‐based anticancer agents and their underlying anticancer mechanisms, which could inhibit the proliferation of cisplatin‐resistant tumors. This work could be beneficial in developing more effective Ir(III)‐based agents to combat cisplatin resistance.
When Virtual Screening Yields Inactive Drugs: Dealing with False Theoretical Friends
Authors: Cerón‐Carrasco José P. 
Published: June 2022

AbstractThe search of antivirals against SARS‐CoV‐2 in available libraries of compounds was initiated as soon as WHO announced that the coronavirus outbreak became a pandemic. That pivotal task has been conducted by both experimental groups in wet‐labs as well as by theoretical chemists in supercomputing centers. The combination of biochemical and clinical intuitions yields first to remdesivir, a broad‐spectrum antiviral that remains as the standard solution for the treatment of severe cases, while paxlovid, molnupiravir and fluvoxamine have been recently proposed as oral alternatives. Unfortunately, the intensive publication of standard virtual screening (VS) simulations might be not the best strategy to increase that short list of antivirals. This contribution joins theory and biological assays to rescore massive VS. Our goal is to critically assess pros and cons of using molecular models for drug repurposing.
Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study
Authors: Ou Yen‐Chuan , Tsao Tang‐Yi , Chang Ming‐Chen , Lin Yi‐Sheng , Yang Wei‐Lei , Hang Jen‐Fan , Li Chi‐Bin , Lee Ching‐Ming , Yeh Cheng‐Hung , Liu Tien‐Jen 
Published: June 2022

BackgroundThe Paris System for Reporting Urinary Cytology (TPS) has been shown to improve bladder cancer diagnosis. Advances in artificial intelligence (AI) may assist and improve the clinical workflow by applying TPS in routine diagnostic services.MethodsA deep‐learning–based algorithm was developed to identify urothelial cancer candidate cells using whole‐slide images (WSIs). In the testing cohort, 131 urine cytology slides were retrospectively retrieved and analyzed using this AI algorithm. The authors compared the performance of one cytopathologist and two cytotechnologists using AI‐assisted digital urine cytology. Then, the AI‐assisted WSIs were evaluated in the clinical workflow. The cytopathologist first made a diagnosis by reviewing the AI‐inferred WSIs and quantitative data (nuclear‐to‐cytoplasmic ratio and nuclear size) for each sample. After a washout period, the same cytopathologist made a diagnosis for the same samples using direct microscopy. All diagnosis results were compared with the expert panel consensus.ResultsThe AI‐assisted diagnosis by the two cytotechnologists and the one cytopathologist demonstrated performance results that were comparable to the expert panel consensus (sensitivity, 79.5% and 82.1% vs. 92.3%, respectively; specificity, 100% and 98.9% vs. 100%, respectively). Furthermore, the performance of the AI‐assisted WSIs compared with the microscopic diagnosis by the cytopathologist demonstrated superior sensitivity (92.3% vs. 87.2%) and negative predictive value (96.8% vs. 94.8%). In addition, the AI‐assisted reporting demonstrated near perfect agreement with the expert panel consensus (κ = 0.944) and the microscopic diagnosis (κ = 0.862).ConclusionsThe AI algorithm developed by the authors effectively assisted TPS‐based reporting by providing AI‐inferred WSIs and quantitative data.
Mindfulness as taught in Dialectical Behaviour Therapy: A scoping review
Authors: Eeles Jennifer , Walker Dawn‐Marie 
Published: June 2022

AbstractThis scoping review considers 11 studies that have focussed on the effect of teaching the mindfulness element of Dialectical Behaviour Therapy (DBT) on clinical outcomes. These articles utilized either mindfulness skills as embedded into the full DBT‐Skills programme or a stand‐alone mindfulness skills module (DBT‐M), as treatment for clinical populations. The review of the research found that clinical application of mindfulness as taught in DBT leads to increases in self‐reported mindfulness—especially non‐judgemental awareness along with psychological measures that suggests an increase in mindfulness, for example, improved attention. The studies demonstrated that an increase in mindfulness had a positive effect on some clinical symptoms such as symptoms of Borderline Personality Disorder. Not all of the studies controlled for the effect of group, amount of practice or other elements of DBT therapy. The findings suggest that more needs to be done to establish the underlying mechanisms of change when being taught mindfulness in DBT.
Constructing Bimetallic ZIF‐Derived Zn,Co‐Containing N‐Doped Porous Carbon Nanocube as the Lithiophilic Host to Stabilize Li Metal Anodes in Li−O2 Batteries
Authors: Zhao Huimin , Yin Huixiang , Fu Ziqi , Chi Zhenzhen , Li Lin , Zhang Qingwei , Guo Ziyang , Wang Lei 
Published: June 2022

AbstractLi metal, because of its ultrahigh theoretical capacity, has attracted extensive attention. However, uncontrollable dendritic Li formation and infinite electrode dimensional variation hinder application of Li anodes. Herein, Zn,Co bimetallic zeolitic imidazolate frameworks (ZIFs) were synthesized and further pyrolyzed to obtain Zn,Co‐containing N‐doped porous carbon nanocube (Zn/Co−N@PCN), which was further applied as lithiophilic host to construct the lithiated Zn/Co−N@PCN (Li−Zn/Co−N@PCN). Zn vapor produced many pores on the carbon framework during calcination process that could store enough Li and thus inhibit the huge electrode volume change. Additionally, there were abundant lithiophilic groups in Zn/Co−N@PCN, such as N‐ or Co/Zn‐based species, which were beneficial to uniform Li deposition. Moreover, the stable and conductive carbon‐based matrix could ensure superior and reproducible Li plating/stripping behavior in Zn/Co−N@PCN over cycling. As a result, the Li−Zn/Co−N@PCN anode showed a steady and high columbic efficiency of around 99.0 % for 600 cycles at 0.5 mA cm−2. The Li−Zn/Co−N@PCN‐based Li−O2 battery could continuously work beyond 200 cycles, superior to a cell with a Li−Cu anode. These results in this work provide a novel way for construction of the advanced Li‐based anodes and the corresponding high‐performance Li−O2 batteries.
Advances in understanding epigenetic impacts on dendritic cell regulation and function
Authors: Verlander Zachary , Cummings Alisa , Brown Heather M. , Sen Rwik 
Published: June 2022

Abstract
Dendritic cells (DCs) are the only cells empowered with inducing primary immune response among resting naïve T lymphocytes, hence it is crucial to understand the regulation and function of DCs. During an adaptive immune response, DCs acquire antigens from invasive entities and present the antigens on their own cell surface, hence they are also known as professional antigen‐presenting cells. Epigenetic modifications to the genome play an important role in both the development and the function of DCs. In this direction, significant advancements have been made using high‐throughput methods like ATAC‐seq, ChIP‐seq, RNA‐seq, bisulfite‐seq and so forth to uncover chromatin accessibility landscape, genome‐wide transcription factor (TF) binding, complete transcriptomic profiles, and DNA methylation, respectively. DCs lineage specification and function are determined by TF binding, which is dependent on epigenetic modifications. However, major gaps in knowledge still exist regarding how and why aberrant epigenetic modifications result in defective development and function of DCs leading to an impaired immune system. Hence, this review compiles up‐to‐date literature regarding the exquisite regulation of DCs via epigenetic regulation, to emphasize the potential of further epigenetics research on DCs for addressing current gaps of knowledge in the field. The review also briefly highlights recent findings on DC defects in coronavirus disease 2019 revealed by single‐cell RNA‐seq, and the importance of DCs in clinical trials. Overall, the review highlights how epigenetics‐based state‐of‐the‐art high‐throughput technology can help discoveries on DCs which are crucial to the immune system and pathogenesis, and how DCs are currently targeted for therapeutic developments and clinical trials.
Diffuse intestinal ulcerations: Diagnostic challenge in a patient with complicated celiac disease
Authors: Kalauz Mirjana , Cukovic Cavka Silvija , Domislovic Viktor , Pourmodjib Kiarash , Kalauz Matija , Dotlic Snjezana , Grubelic Ravic Katja , Krznaric Zeljko 
Published: June 2022

AbstractA 48‐year‐old female patient presented with longstanding unrecognized celiac disease (CD), a family history of CD, and a short duration of alarming symptoms. The diagnostic evaluation revealed the concomitant presence of small and large bowel ulcers raised a dilemma about differential diagnosis in her case. Pathologic examination of tissue specimens from the jejunal ulcer led to the diagnosis of enteropathy‐associated T‐cell lymphoma. In recent years, the availability of modern cross‐sectional imaging and endoscopy modalities has dramatically improved the detection and characterization of small bowel lesions. Characterization of small bowel ulcers by endoscopy and radiology imaging in a patient with suspected complicated CD (CCD) needs to be made in conjunction with all clinical factors, as there is a wide overlap of the possible etiologic factors. Enteropathy‐associated T‐cell lymphoma is a highly aggressive T‐cell lymphoma with a poor prognosis, since early diagnosis and appropriate treatment may be delayed due to nonspecific clinical and endoscopic presentation. Therefore, it is crucial to timely recognize patients with suspected CCD and properly navigate diagnostic imaging tools, acquire adequate biopsy, and perform immunophenotyping to set early diagnosis in patients with diffuse intestinal ulcers and CD.
Structure and evolution of neuronal wiring receptors and ligands
Authors: Cortés Elena , Pak Joseph S. , Özkan Engin 
Published: June 2022

AbstractOne of the fundamental properties of a neuronal circuit is the map of its connections. The cellular and developmental processes that allow for the growth of axons and dendrites, selection of synaptic targets, and formation of functional synapses use neuronal surface receptors and their interactions with other surface receptors, secreted ligands, and matrix molecules. Spatiotemporal regulation of the expression of these receptors and cues allows for specificity in the developmental pathways that wire stereotyped circuits. The families of molecules controlling axon guidance and synapse formation are generally conserved across animals, with some important exceptions, which have consequences for neuronal connectivity. Here, we summarize the distribution of such molecules across multiple taxa, with a focus on model organisms, evolutionary processes that led to the multitude of such molecules, and functional consequences for the diversification or loss of these receptors.
An occurrence data set for invasive and naturalized alien plants in India
Authors: Prajapati Jyoti , Singh Abhijit , Patil Kshitij , Bhowmick Amiya Ranjan , Mukherjee Abhishek , Huang Yelin , Banerjee Achyut Kumar 
Published: June 2022

AbstractIndia has numerous invasive alien plant species (IAPSs), which seriously impact biodiversity, ecosystem services, and economic development. The availability of reliable occurrence records of IAPSs is of great importance for their successful management, prediction of distribution across time and space, and other research and development efforts. Global databases of occurrence data, like the Global Biodiversity Information Facility (GBIF), are often not exhaustive, especially for India, and poorly represent the actual distribution of IAPSs in the country. Our objective in creating this data set was threefold: (1) to compile occurrence data for the invasive and naturalized alien plant species of India, (2) to collect spatial and temporal information associated with occurrence records, and (3) to share the data in an accessible format so every record is traceable to its sources and allow users to submit data to increase the resolution of the data set. To achieve these objectives, we extracted data from 3137 literature records and 357 herbarium sheets. For each occurrence record, we curated information for 20 variables, which were arranged in a table with the Darwin Core (DwC) terms as column names. All data were subjected to technical validation before being included in the database. A total of 12,347 occurrence records were obtained for 362 species (195 invasive aliens and 167 naturalized aliens). The number of collected occurrence records was much higher for the invasive aliens (73.7%) than for the naturalized alien species (26.3%). Our data set will supplement the GBIF data by 60.39%, and occurrence records will be added for 64 invasive and naturalized alien plant species. The data set, as a part of the larger database of the Indian Alien Flora Information (ILORA) database, is made available without any restrictions on use as long as this data paper is properly cited. We have also made provisions for users to submit occurrence‐related data following a data standard. The users are encouraged to cite the original reference when using a specific data record. The data set is expected to assist a wide range of stakeholders involved in India's scientific research, policy formulation, and decision‐making related to IAPSs.