bluuebunny/crossref_metadata_2025_split huggingface dataset:
Colloid Electrolyte with Changed Li+ Solvation Structure for High‐Power, Low‐Temperature Lithium‐Ion Batteries
Authors: Wang Xiaoyan , Yang Le , Ahmad Niaz , Ran Leguan , Shao Ruiwen , Yang Wen 
Published: January 2023

AbstractLithium‐ion batteries currently suffer from low capacity and fast degradation under fast charging and/or low temperatures. In this work, a colloid liquid electrolyte (CLE) is designed, where the trace amount of lithium thiocarbonate (LTC) colloids in commercial carbonate electrolyte (1 m LiPF6 in ethylene carbonate/dimethyl carbonate) not only boosts up σLi+ but also improves the Li+ transfer kinetics at LiNi0.8Co0.15Al0.05O2 (NCA) cathode/electrolyte interface. The competitive coordination of LTCs with anions and solvents facilitates the dissociation of lithium salts and Li+ decoupling, dramatically enhancing the σLi+ (15 to 4.5 mS cm−1 at 30 and −20 °C, respectively); meanwhile, the desolvation process is accelerated. It demonstrates that LTC colloids induce an ≈5 nm ultrathin Li2CO3‐rich cathode electrolyte interface and infuse the grain boundary of NCA particles, enhancing interfacial Li+ transfer and inhibiting the particle cracks during cycling. Consequently, the Li||CLE||NCA battery delivers a maximum capacity of 135 mAh g−1 at a 10 C rate with 80% retention after 2000 cycles. Moreover, the fast‐charging capability under a sub‐zero environment is proved (122 mAh g−1 with 90% retention after 400 cycles at 2 C and −10 °C). This strategy for tailoring the interfacial charge transfer appears generalizable and can practically be extended to next‐generation energy‐storage systems.
Stabilizing Single‐Atomic Pt by Forming PtFe Bonds for Efficient Diboration of Alkynes
Authors: Miao Xiang , Chen Wenxing , Lv Shuning , Li Anran , Li Yanhong , Zhang Qinghua , Yue Yonghai , Zhao Hewei , Liu Limin , Guo Shaojun , Guo Lin 
Published: January 2023

AbstractPrecisely tailoring the oxidation state of single‐atomic metal in heterogeneous catalysis is an efficient way to stabilize the single‐atomic site and promote their activity, but realizing this approach remains a grand challenge to date. Herein, a class of stable single‐atomic catalysts with well‐tuned oxidation state of Pt by forming PtFe atomic bonds is reported, which are supported by defective Fe2O3 nanosheets on reduced graphene oxide (PFARFNs). These as‐synthesized materials can greatly enhance the catalytic activity, stability, and selectivity for the diboration of alkynes. The PFARFNs exhibit high conversion of 99% at 100 °C with an outstanding turnover frequency (TOF) of 545 h−1, and a relatively high conversion of 58% at room temperature (25 °C) with a TOF of 310 h−1, which has been hardly achieved previously. Through both experimental and theoretical investigation, it is demonstrated that the fast electron transfer from Fe to Pt in Fe–Pt–O atomic sites in PFARFNs can not only stabilize the single‐atomic Pt, but also significantly improve their catalytic activity.
Bone health in ambulatory male patients with chronic obstructive airway disease – A case control study from India
Authors: Jeeyavudeen Mohammad Sadiq , Hansdek Samuel George , Thomas Nihal , Balamugesh Thangakunam , Gowri Mahasampath , Paul Thomas V. 
Published: January 2023

AbstractObjectiveChronic obstructive airway disease (COPD) is characterized by airflow limitation due to airway and/or alveolar abnormalities with significant extra‐pulmonary manifestations. Bone health impairment is an extra‐pulmonary complication of COPD which is less well studied in India. Moreover, it can contribute to significant morbidity and mortality. Hence, we aim to estimate the prevalence of osteoporosis and metabolic parameters of adverse bone health in patients with COPD.MethodsIn this case control study, male subjects aged 40–70 years with COPD attending the respiratory outpatient clinic in a tertiary care hospital were recruited over a period of 2 years and the control population were derived from the historical cohort who were apparently healthy with no obvious diseases. Metabolic parameters of bone health measured from fasting blood samples were calcium, albumin, alkaline phosphatase, phosphorous, parathormone, creatinine, 25‐hydroxy vitamin D, and testosterone. Bone mineral density (BMD) was estimated using DXA scan and the World Health Organization (WHO) criteria was used to categorize into osteoporosis, osteopenia, and normal BMD based on the T‐score at femoral neck, lumbar spine and distal forearm. Pulmonary function tests and 6 minute walk test were performed if they had not been done in the previous 3 months. The associations of COPD with osteoporosis were analyzed using linear regression analysis and effect size are presented as beta with 95% confidence interval.ResultsOf the 67 participants with COPD enrolled in the study, osteoporosis was present in 61% (41/67) and osteopenia in an additional 33% (22/67) of the cases, which was higher when compared to the control population (osteoporosis 20% [50/252] and osteopenia 58% [146/252]). In regression modeling, there was a trend toward adverse bone health with advanced age, low body mass index, low forced expiratory volume in 1 second and testosterone deficiency in COPD.ConclusionIndividuals with COPD have a substantially higher prevalence of osteoporosis and osteopenia, up to almost twice that of the general population, with a significant number demonstrating at least one parameter of adverse metabolic bone health on assessment. Hence, bone health assessment should be a part of comprehensive COPD care to prevent adverse consequences due to poor bone health.
Synthesis and evaluation of cardamonin derivatives as antiproliferative agents to human cancer cells
Authors: Selvaraj Baskar , Lee Sang Hyuk , Sang Nguyen Qui Ngoc , Lee Heesu , Lee Jae Wook 
Published: January 2023

AbstractTwenty novel cardamonin derivatives were synthesized and evaluated for antiproliferative activity against four cancer cell lines (HT‐29, DLD‐1, MDA‐MB‐231, and HepG2). Among the derivatives, SWA2 showed the most potent effects with an IC50 value of 4.43–11.0 μM against three cancer cell lines except for HepG2. Further investigation showed that SWA2 induced cancer cell death by apoptosis. Flow cytometry analysis showed that SWA2 treatment increased the ratio of apoptotic and dead cells. Further western blot analysis revealed that SWA2 treatment increased cleaved PARP. In summary, SWA2 can be utilized as a lead structure for anticancer therapy.
A case report of biallelic CHEK2 heterozygous variant presenting with breast cancer
Authors: Soleimani Tahereh , Bourdon Corrie , Davis Jacquelyn , Fortes Thais 
Published: January 2023

AbstractPathogenic germline variants in the CHEK2 gene have been shown to cause a moderate increased risk of breast cancer. Here, we present a striking CHEK2 family with a biallelic carrier of two frameshift pathogenic variants, to draw attention and to encourage a comprehensive genetic and cancer risk education for biallelic carriers of CHEK2 pathogenic variants.
Goblet cell adenocarcinoma of the ascending colon: An underrecognized diagnostic pitfall
Authors: Limaiem Faten , Omrani Sahir , Hajri Mohamed 
Published: January 2023

AbstractGoblet cell adenocarcinomas (GCA) are infrequent neoplasms of the digestive system that exhibit both mucinous and neuroendocrine differentiation. They predominate in the appendix and rarely involve the colon. Herein, the authors report a case of GCA involving the ascending colon in a 60‐year‐old woman who presented with severe anemia.
Ligand Effect on Physicochemical Properties of Ionic Liquid
Authors: Rout Alok , Mishra Satyabrata 
Published: January 2023

AbstractIn the solvent extraction process, the importance of an extractant (or ligand) and a diluent is inferred from their respective physicochemical properties. We have brought together all the recent results reported on the mixture of different extractants dissolved in a well‐known ionic liquid diluent: 1‐butyl‐3‐methylimidazolium bis(trifluoromethanesulfonyl)imide ([C4mim][NTf2]) in the form of a review and aimed to emphasize the role of ligand polarity and structure on the physicochemical properties of an ionic liquid (IL) diluent. Some of the most important properties such as dynamic viscosity (η), absolute density (
), energy of activation (Ea), coefficient of thermal expansion (α), phase separation time (PST), refractive index (n), etc., have been discussed meticulously in the paper. The effect of ligand structure on the aggregation behaviour of IL phase and the physicochemical properties of gamma irradiated solvent phases containing different ligands and their solution with IL phase also have been deliberated in detail.
Industry Perspective on Therapeutic Peptide Drug–Drug Interaction Assessments During Drug Development: A European Federation of Pharmaceutical Industries and Associations White Paper
Authors: Säll Carolina , Argikar Upendra , Fonseca Kari , Hilgendorf Constanze , Lopes Filipe , Riedel Jens , Schiller Hilmar , Sonesson Anders , Umehara Kenichi , Wang Kai 
Published: January 2023

Drug–drug interaction (DDI) assessments are well defined in health authority guidelines for small molecule drugs, and US Food and Drug Administration (FDA) draft guidance is now available for therapeutic proteins. However, there are currently no regulatory guidelines outlining DDI assessments for therapeutic peptides, which poses significant uncertainty and challenges during drug development for this heterogenous class of molecules. A cross‐industry peptide DDI working group consisting of experts from 10 leading companies was formed under the sponsorship of the European Federation of Pharmaceutical Industries and Associations. We aimed to capture the range of DDI studies undertaken for peptide drugs by (i) anonymously surveying relevant companies involved in peptide drug development to better understand DDI study type/timing currently performed and (ii) compiling a database containing in vitro / clinical DDI data from submission packages for recently approved peptide drugs. Our analyses highlight significant gaps and uncertainty in the field. For example, the reported timing of in vitro peptide DDI studies, if performed, vary substantially across responding companies from early research to phase III. Nearly all in vitro cytochrome P450 / transporter inhibition studies reported in the survey were negative. For the few positive hits reported, no clinical follow‐up studies were performed, questioning the clinical relevance of these findings. Furthermore, available submission packages reveal DDI likelihood is low for peptides >2 kDa, making it reasonable to adopt a risk‐based approach during drug development for larger peptides. By benchmarking the landscape of peptide DDI activities across the industry, we set the stage for future discussions with health authorities on harmonizing peptide DDI approaches.
The Current State of Single‐Cell Proteomics Data Analysis
Authors: Vanderaa Christophe , Gatto Laurent 
Published: January 2023

AbstractSound data analysis is essential to retrieve meaningful biological information from single‐cell proteomics experiments. This analysis is carried out by computational methods that are assembled into workflows, and their implementations influence the conclusions that can be drawn from the data. In this work, we explore and compare the computational workflows that have been used over the last four years and identify a profound lack of consensus on how to analyze single‐cell proteomics data. We highlight the need for benchmarking of computational workflows and standardization of computational tools and data, as well as carefully designed experiments. Finally, we cover the current standardization efforts that aim to fill the gap, list the remaining missing pieces, and conclude with lessons learned from the replication of published single‐cell proteomics analyses. © 2023 Wiley Periodicals LLC.
An emerging era of computational cytology
Authors: Dey Pranab , Bansal Baneet , Saini Tarunpreet 
Published: January 2023

AbstractBackgroundThe significant advancement in digital imaging, data management, advanced computational power, and artificial neural network have an immense impact on the field of cytology. The amalgamation of these areas has generated a newer discipline known as computational cytology.Aims and objectiveIn To discuss the various important aspects of computational cytology.Materials and methodsWe reviewed the different studies published in English during the last few years on computational cytology.ResultComputational cytology is a newer and emerging discipline in pathology that deals with the patient's meta‐data and digital image data to make a mathematical model to produce diagnostic interpretations and predictions. The role of the cytologist is now changing from a simple observational scientist and slide interpreter to a dynamic and integrated multi‐parametric prediction‐based scientist.ConclusionIn the current stage, the cytologist must understand the situation and should have a vision of the complete scenario on computational cytology.
MicroRNA‐155‐5p in serum derived‐exosomes promotes ischaemia–reperfusion injury by reducing CypD ubiquitination by NEDD4
Authors: Hu Chenkai , Liao Junyu , Huang Ruiyan , Su Qiang , He Lei 
Published: January 2023

AbstractAimsRecovery of blood flow is a therapeutic approach for myocardial infarction but paradoxically induces injury to the myocardium. Exosomes (exos) are pivotal mediators for intercellular communication that can be released by different cells and are involved in cardiovascular diseases. This study aimed to explore the possible effects and mechanisms of miR‐155‐5p loaded by serum‐derived exos in myocardial infarction reperfusion injury (MIRI).Methods and resultsExos were isolated from mouse serum after induction of ischaemia reperfusion (I/R) and injected into I/R‐treated mice to assess cardiac function, infarction size, and cardiomyocyte apoptosis. Primary cardiomyocytes were transfected with miR‐155‐5p inhibitor before treatment with oxygen–glucose deprivation and re‐oxygenation (OGD/R) and exos derived from the serum of I/R‐treated mice (I/R‐Exos), in which Bcl‐2, Bax, and cleaved‐caspase‐3 levels were detected. The interactions among miR‐155‐5p, NEDD4, and CypD were evaluated. miR‐155‐5p level was evidently increased in I/R‐Exos than in exos from the serum of sham‐operated mice (P < 0.05). In comparison with the I/R group, the I/R‐Exos + I/R group had increased infarct size, elevated miR‐155‐5p expression, and boosted apoptotic rate in mouse myocardium (P < 0.05). In mice treated with I/R‐Exos and I/R, miR‐155‐5p inhibition reduced cardiac infarct size and apoptosis (P < 0.05). NEDD4 was a target gene of miR‐155‐5p and promoted CypD ubiquitination. Cardiomyocyte apoptosis was markedly increased in the miR‐155‐5p inhibitor + shNEDD4 + OGD/R group versus the miR‐155‐5p inhibitor + OGD/R group (P < 0.05), but decreased in the miR‐155‐5p inhibitor + shNEDD4 + shCypD + OGD/R group than in the miR‐155‐5p inhibitor + shNEDD4 + OGD/R group (P < 0.05).ConclusionsmiR‐155‐5p in I/R‐Exos may facilitate MIRI by inhibiting CypD ubiquitination via targeting NEDD4.
CL‐HPWSR: Cross‐layer‐based energy efficient cluster head selection using hybrid particle swarm wild horse optimizer and stable routing in IoT‐enabled smart farming applications
Authors: Kumar Amandeep , Dhaliwal Balwinder Singh , Singh Damanpreet 
Published: January 2023

AbstractIn the recent days, the Internet of Things (IoT) has assumed a significant role in automized farming applications. The farmers can receive frequent information corresponding to the soil moisture, water used, humidity, temperature, moisture, etc., by utilizing actuators and sensor nodes. Various clustering techniques used in wireless sensor network (WSN) applications have achieved energy‐efficient results. However, IoT‐enabled smart farming (SF) applications require scalable networks and long‐distance communication. The existing clustering techniques cannot provide SF solutions, and work related to communication overhead, end‐to‐end delay, latency etc., has not been taken up exhaustively. Therefore, in this article, a cross‐layer‐based hybrid particle Swarm wild horse optimizer (PSWHO) and stable routing technique (CL‐HPWSR) is designed to minimize energy consumption, communication delay, latency etc. in SF applications. Initially, the network is designed to be Bi‐concentric Hexagons. The cross‐layer‐based optimal cluster head (CH) selection mechanism is designed using the hybrid optimization algorithm‐named PSWHO to mitigate excess energy consumption problems in WSN. While clustering, cross‐layer parameters from different layers such as physical, medium access control, and network are used to compute the probability of each sensor node. Moreover, the deep learning‐based routing algorithm extended deep golden eagle neural network (EDGENN) is introduced to explore the optimal route for transmitting the data. The performance of CL‐HPWSR is implemented in Matlab by focusing energy‐efficiency, computational‐efficiency and QoS‐efficiency factors. Finally, in comparison with state‐of‐the‐art‐based SF approaches such as CL‐IoT, FEEC‐IIR, BiHCLR, PSO‐ECHS, and PSO‐C, the CL‐HPWSR has performed better in terms of energy‐efficiency, QoS‐efficiency and computational‐efficiency.
Moxifloxacin as a contrast agent of two‐photon microscopic imaging for detecting colorectal diseases
Authors: Chen Yingtong , Xu Xiaoyi , Wang Min , Wang Xiang , Wang Yan , Zhang Yong , Zhao Lili , Fan Zhining , Liu Li 
Published: January 2023

AbstractSince two‐photon microscopy (TPM) can obtain high‐resolution images at cellular and subcellular level and moxifloxacin has multiphoton fluorescence characteristic, our study aimed to explore the feasibility and diagnostic value of moxifloxacin‐assisted TPM in different human colorectal diseases, including low‐grade intraepithelial neoplasia (LGIN), high‐grade intraepithelial neoplasia (HGIN) and cancer tissues. Excitation power for TPM imaging with and without moxifloxacin was (2.74 ± 0.16) mW and (0.28 ± 0.02) mW, respectively (p < 0.05). Whether labeled with moxifloxacin or not, images of normal, LGIN, HGIN and cancer tissues all reached the strongest signal at 30 μm from the mucosa. Normalized fluorescence intensity of TPM images with moxifloxacin was approximately 10 times stronger than that without moxifloxacin. Fluorescence signal was differed significantly in normal, LGIN, HGIN and cancer tissues with or without moxifloxacin (p < 0.05). Besides, moxifloxacin‐assisted TPM could present variant tissue features with different colorectal diseases, such as the crypt opening, glandular structure, adjacent glandular space and fluorescence distribution.
Excited‐state nonadiabatic dynamics simulations on the heptazine and adenine in a water environment: A mini review
Authors: Ullah Naeem , Chen Shunwei , Zhang Ruiqin 
Published: January 2023

AbstractStudying the excited‐state decay process is crucial for materials research because what happens to the excited states determines how effective the materials are for many applications, such as photoluminescence and photocatalysis. The high computational cost, however, limits the use of high‐accuracy theoretical approaches for analyzing research systems containing a significant number of atoms. Time‐dependent density functional theory is a practical approach to investigate the photorelaxation processes in these systems, as demonstrated in the studies of the excited‐state decays of heptazine‐water clusters and adenine in water described in this review. Here, we highlight the importance of conical intersections in the excited‐state decay processes of these systems using the aforementioned examples. In the heptazine‐water and adenine‐water systems, these intersections are associated with the photocatalytic water splitting reaction, caused by a barrierless reaction called water to adenine electron‐driven proton transfer. We expect the result would be helpful for researching the excited‐state decays of graphitic carbon nitride materials and DNA nucleotides.
Psychological empowerment for the future of work: Evidence from Portugal
Authors: Oliveira Margarida , Andrade José Ricardo , Ratten Vanessa , Santos Eulália 
Published: January 2023

AbstractIn the competitive global marketplace, it is becoming important for organizations to empower employees for productivity reasons. One of the organizational empowerment models with greater support and consistency in the various studies in which it has been used is Spreitzer's Model of Psychological Empowerment in the Workplace, published in 1995. The model is composed of four dimensions that allow the measurement of the components of meaning, competence, self‐determination and the impact of work on individual empowerment. The present study aims to evaluate the psychometric properties, in the Portuguese context, of the referred model. After the translation and adaptation of the psychological empowerment scale, the questionnaire was applied to a sample of 545 workers from Portuguese industrial organizations. The results of the application of structural equation modeling allow identifying the same components defined by the Spreitzer model, so it can be considered a reliable and valid instrument to measure organizational empowerment in the Portuguese context. However, we consider that complementary studies are necessary to analyze the psychometric properties of the scale and to further advance the research. The results obtained allow us to affirm that empowerment will be a basic strategy to improve the organizational transformations that companies constantly face. It is therefore important for Portuguese organizations to analyze the level of psychological empowerment of their employees, in order to find solutions to problems such as turnover, talent attraction, performance, work demotivation and improve human resource management practices. This is particularly important following the COVID‐19 pandemic in which the psychology of employees was tested due to working from home and social distancing requirements.