bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of 2,4-Dinitrophenol Against Multidrug-Resistant Bacteria
Authors: Víctor Hugo Pérez Carrillo , Ángel Alfredo Nuñez Vázquez , Raquel Ortega Muñoz , Juan Carlos Jiménez-Castellanos , Jesús Fernando Montiel Aguirre 
Published: May 2024

AbstractMultidrug-resistant bacteria have become very important in recent decades due to the health problems they cause. Different mechanisms of resistance in bacteria have been identified among which are efflux pumps. It is believed that chemical compounds such as 2,4-dinitrophenol (2,4-DNP) can inhibit efflux pumps which normally participate in detoxifying cells. In the present work antibiotic multiresistant cells were isolated. Resistance of these bacteria to different antibiotics was tested by the Kirby-Bauer method and ethidium bromide tolerance. It was assumed that they showed overexpression of efflux pumps. The effect of 2,4-DNP was tested and the antibiotic resistance and growth of the cells were measured. Although a strong inhibition effect by 2,4-DNP was observed, an unexpected variation in MICs among the samples suggests that 2,4DNP has a more complex effect on bacteria than originally assumed.
Analysis and design of wireless power transfer system with anti-misalignment constant voltage output characteristics
Authors: Wang Dangshu , Guan Zhimin , Wang Jing , Chang Menghu , Zhao Licong , Wang Xinxia 
Published: May 2024

Purpose
This study aims to solve the problem of high output voltage fluctuation and low efficiency caused by the misalignment of the magnetic coupling structure in the wireless charging system for electric vehicles. To address these issues, this paper proposes a dual LCC-S wireless power transfer (WPT) system based on the double-D double-layer quadrature (DDDQ) coil, which can realize the anti-misalignment constant voltage output of the system.

Design/methodology/approach
First, this paper establishes the equivalent circuit of a WPT system based on dual LCC-S compensation topology and analyzes its constant-voltage output characteristics and the relationship between system transmission efficiency and coupling coefficient. 1. Quadruple D (Ahmad et al., 2019) and double-D quadrature pad (DDQP) (Chen et al., 2019) coils have good anti-misalignment in the transverse and longitudinal directions, but the magnetic induction intensity in the center of the coils is weak, making it difficult for the receiving coil to effectively couple to the magnetic field energy. 2. Based on the double-D quadrature (DDQ) structure coil that can eliminate the mutual inductance between coupling coils and cross-coupling, Gong et al. (2022a) proposed a parameter optimized LCC-LC series-parallel hybrid topology circuit, which ensures that the output current fluctuation is controlled within 5% only when the system is misaligned within the 50% range along the X direction, achieving constant current output with anti-misalignment. The magnetic coupling structure’s finite element simulation model is established to analyze the change in magnetic induction intensity and the system’s anti-misalignment characteristics when the coil offsets along the x and y axes. Finally, an experimental prototype is developed to verify the constant voltage output performance and anti-misalignment performance of the system, and the proposed anti-misalignment system is compared with the systems in existing literature, highlighting the advantages of this design.

Findings
The experimental results show that the system can achieve a constant voltage output of 48V under a time-varying load, and the output voltage fluctuates within ±5% of the set value within the range of ±60 mm lateral misalignment and ±72 mm longitudinal misalignment.

Originality/value
Based on the dual LCC-S WPT system, the mutual inductance between the same side coils is reduced by adding decoupling coils, and the anti-misalignment characteristics and output power of the system are improved in a certain range. It is aimed at improving the stability of the system output and transmission efficiency.
Research on improved active disturbance rejection control strategy for hydraulic-driven Stewart stabilization platform
Authors: Qu Xingyu , Li Zhenyang , Chen Qilong , Peng Chengkun , Wang Qinghe 
Published: May 2024

Purpose
In response to the severe lag in tracking the response of the Stewart stability platform after adding overload, as well as the impact of nonlinear factors such as load and friction on stability accuracy, a new error attenuation function and a parallel stable platform active disturbance rejection control (ADRC) strategy combining cascade extended state observer (ESO) are proposed.

Design/methodology/approach
First, through kinematic modeling of the Stewart platform, the relationship between the desired pose and the control quantities of the six hydraulic cylinders is obtained. Then, a linear nonlinear disturbance observer was established to observe noise and load, to enhance the system’s anti-interference ability. Finally, verification was conducted through simulation.

Findings
Finally, stability analysis was conducted on the cascaded observer. Experiments were carried out on a parallel stable platform with six degrees of freedom involving rotation and translation. In comparison to traditional PID and ADRC control methods, the proposed control strategy not only endows the stable platform with strong antiload disturbance capability but also exhibits faster response speed and higher stability accuracy.

Originality/value
A new error attenuation function is designed to address the lack of smoothness at d in the error attenuation function of the ADRC controller, reducing the system ripple caused by it. Finally, a combination of linear and nonlinear ESOs is introduced to enhance the system's response speed and its ability to observe noise and load disturbances. Stability analysis of the cascade observer is carried out, and experiments are conducted on a six-degree-of-freedom parallel stable platform with both rotational and translational motion.
Evaluating strategies to persist for digital platform firms in a post-digitalization era: an empirical evidence from Indian platform firms
Authors: Bourai Shatakshi , Arora Rahul , Yadav Neetu 
Published: May 2024

PurposeThe dynamic and evolving nature of the market calls for attention to digital platform firms' survival strategies, building agility for persistence in a continuously changing business environment. In India, the government’s adoption of the Digital Policy is one such change in the business environment for the firms that impact almost all sectors. Such policies cause a disruption wherein digital platform firms must be agile and create a strategic response that will endure any changes. The present study attempts to gain insight into the competitive strategies adopted by the digital platform firms of the consumer durables industry in India, which are implemented to facilitate their growth.Design/methodology/approachThe entire study is conducted in two phases. Phase one includes identifying strategies sampled digital platform firms adopted in response to the digitalization policy, and the second phase evaluates the significance of the adopted plans to persist.FindingsWhile clubbing the 42 strategic responses to a few aggregate dimensions, the study found four types of responses adopted by the digital platform firms in the consumer durable industry to persist in the market. Using a two-step system, the Generalized Method of Moments (GMM) approach, the study found that all four dimensions are statistically significant, positively impacting these firms' profitability.Practical implicationsThe study contributes to the knowledge base of strategic responses to persist for the incumbent platform firms in a dynamic business environment.Originality/valueThe study answers the pertinent research question of how such strategic decisions may be informed in favor of profitability.
Institutional pressure and responsible innovation: how big data analytics adoption drives manufacturing SMEs toward competitiveness
Authors: Riaz Adil , Ali Fouzia Hadi 
Published: May 2024

Purpose
This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.

Design/methodology/approach
The study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.

Findings
The results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.

Research limitations/implications
For manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.

Originality/value
The majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.
When employees become streamers: the mediating power of friendship and self-congruity
Authors: Zhang Tingting , Li Bin , Hua Nan , Zhang Pei 
Published: May 2024

Purpose
The purpose of this study is to investigate the effects of employee live streamers on consumers' purchase behaviors and brand image, as well as to understand the mediating roles of friendship and self-congruity.

Design/methodology/approach
A framework was proposed to explain the influence of employee live streamers' qualities on consumers' behaviors and brand image through the mediators of friendship and self-congruity. Primary data was collected from 225 valid survey responses in China, and the PLS-SEM analysis was employed to test the statistical significance of the hypothesized relationships.

Findings
The study found that four qualities of employee live streamers – trustworthiness, attractiveness, responsiveness and expertise – had significant effects on consumers' purchase behaviors and brand image through the mediators of self-congruity and friendship.

Originality/value
This research provides valuable insights into the varying roles of employee live streamers in consumers' decision-making and brand image formation. It offers a theoretical basis for scholars to understand the factors of PSI (parasocial interaction) between consumers and an employee streamer, contributing to the growing body of literature on live streaming and consumer behavior.
A novel adjusted real-time decision-making for dynamic distribution in the grocery supply chain
Authors: Geraeli Mohaddese , Roghanian Emad 
Published: May 2024

Purpose
The current research has developed a novel method to update the decisions regarding real-time data, named the dynamic adjusted real-time decision-making (DARDEM), for updating the decisions of a grocery supply chain that avoids both frequent modifications of decisions and apathy. The DARDEM method is an integration of unsupervised machine learning and mathematical modeling. This study aims to propose a dynamic proposed a dynamic distribution structure and developed a bi-objective mixed-integer linear program to make distribution decisions along with supplier selection in the supply chain.

Design/methodology/approach
The constantly changing environment of the grocery supply chains shows the necessity for dynamic distribution systems. In addition, new disruptive technologies of Industry 4.0, such as the Internet of Things, provide real-time data availability. Under such conditions, updating decisions has a crucial impact on the continued success of the supply chains. Optimization models have traditionally relied on estimated average input parameters, making it challenging to incorporate real-time data into their framework.

Findings
The proposed dynamic distribution and DARDEM method are studied in an e-grocery supply chain to minimize the total cost and complexity of the supply chain simultaneously. The proposed dynamic structure outperforms traditional distribution structures in a grocery supply chain, particularly when there is higher demand dispersion. The study showed that the DARDEM solution, the online solution, achieved an average difference of 1.54% compared to the offline solution, the optimal solution obtained in the presence of complete information. Moreover, the proposed method reduced the number of changes in downstream and upstream decisions by 30.32% and 40%, respectively, compared to the shortsighted approach.

Originality/value
Introducing a dynamic distribution structure in the supply chain that can effectively manage the challenges posed by real-time demand data, providing a balance between distribution stability and flexibility. The research develops a bi-objective mixed-integer linear program to make distribution decisions and supplier selections in the supply chain simultaneously. This model helps minimize the total cost and complexity of the e-grocery supply chain, providing valuable insights into decision-making processes. Developing a novel method to determine the status of the supply chain and online decision-making in the supply chain based on real-time data, enhancing the adaptability of the system to changing conditions. Implementing and analyzing the proposed MILP model and the developed real-time decision-making method in a case study in a grocery supply chain.
The association of home blood pressure with all‐cause mortality in hemodialysis patients: A prospective observational study
Authors: Kontogiorgos Ioannis , Georgianos Panagiotis I. , Tsikliras Nikolaos C. , Leonidou Kallistheni , Vaios Vasilios , Roumeliotis Stefanos , Karpetas Antonios , Kantartzi Konstantia , Panagoutsos Stylianos , Liakopoulos Vassilios 
Published: May 2024

AbstractIntroductionPrior observational studies conducted in the hemodialysis population have suggested a reverse association between dialysis‐unit blood pressure (BP) and mortality. The present study aimed to investigate the prognostic association of home versus dialysis‐unit BP with all‐cause mortality in hemodialysis patients.MethodsAt baseline, 146 patients receiving maintenance hemodialysis underwent assessment of their BP with the following methods: (i) 2‐week averaged routine predialysis and postdialysis BP measurements; (ii) home BP monitoring for 1 week that included duplicate morning and evening BP measurements with the use of validated devices.ResultsOver a median follow‐up period of 38 months (interquartile range [IQR]: 22–54), 44 patients (31.1%) died. In Kaplan–Meier curves, predialysis and postdialysis systolic BP (SBP) was not associated with all‐cause mortality, while home SBP appeared to be of prognostic significance (log rank p = 0.029). After stratifying patients into quartiles, all‐cause mortality was lowest when home SBP was ranging from 128.1 to 136.8 mmHg (quartile 2). In univariate Cox regression analysis, using quartile 2 as a referent category, the risk of all‐cause mortality was 3.32‐fold higher in quartile 1, 1.53‐fold higher in quartile 3 and 3.25‐fold higher in quartile 4. The risk‐association remained unchanged after adjustment for several confounding factors (adjusted hazard ratio: 4.79, 1.79, 3.63 for quartiles 1, 3, and 4 of home systolic BP, respectively).ConclusionOur findings suggest that among hemodialysis patients, 1‐week averaged home SBP is independently associated with all‐cause mortality. In sharp contrast, SBP recorded either before or after dialysis over 2 weeks is not prognostically informative.
Feasibility and safety of direct percutaneous embolization of lymphopseudoaneurysm for postoperative lymphatic leakage
Authors: Ozawa Mizuki , Sone Miyuki , Sugawara Shunsuke , Itou Chihiro , Kimura Shintaro , Arai Yasuaki , Kusumoto Masahiko 
Published: May 2024

SummaryThe treatment strategy for refractory postoperative lymphatic leakage is controversial. While the utility of direct percutaneous embolization of lymphopseudoaneurysm has been investigated, only a few reports on this topic exist. The aim of this study was to evaluate the technical and clinical feasibility and safety of direct percutaneous embolization of lymphopseudoaneurysm for refractory postoperative lymphatic leakage. This case series included six consecutive patients who underwent direct percutaneous embolization of lymphopseudoaneurysm for refractory postoperative lymphatic leakage. Technical success (successful percutaneous approach and injection of NBCA glue to the lymphopseudoaneurysm), clinical success (unnecessity of percutaneous drainage tube of the lymphatic leakage), treatment duration (the duration from the treatment to the achievement of clinical success) and procedure‐related complications were mainly evaluated. Direct percutaneous embolization of the lymphopseudoaneurysm using NBCA glue was successfully performed in all cases. Clinical success was achieved in five of the six cases (83%). The mean treatment period was 9 days for the cases with clinical success. No major complications occurred postoperatively. In conclusion, direct percutaneous embolization of lymphopseudoaneurysm may become a feasible and safe treatment option for cases of refractory postoperative lymphatic leakage.
Characteristics of emerging new autoimmune diseases after COVID‐19 vaccination: A sub‐study by the COVAD group
Authors: Shumnalieva Russka , Ravichandran Naveen , Hannah Jennifer , Javaid Mahnoor , Darooka Naitica , Roy Debaditya , Gonzalez Daniel E. , Velikova Tsvetelina , Milchert Marcin , Kuwana Masataka , Joshi Mrudula , Gracia‐Ramos Abraham Edgar , Boyd Peter , Yaadav Praggya , Cheng Karen , Kobert Linda , Cavagna Lorenzo , Sen Parikshit , Day Jessica , Makol Ashima , Gutiérrez Carlos Enrique Toro , Caballero‐Uribe Carlo V. , Saha Sreoshy , Parodis Ioannis , Dey Dzifa , Nikiphorou Elena , Distler Oliver , Kadam Esha , Tan Ai Lyn , Shinjo Samuel Katsuyuki , Ziade Nelly , Knitza Johannes , Chinoy Hector , Aggarwal Rohit , Agarwal Vikas , Gupta Latika ,   COVAD Study Group
Published: May 2024

AbstractBackgroundDespite the overall safety and efficacy of COVID‐19 vaccinations, rare cases of systemic autoimmune diseases (SAIDs) have been reported post‐vaccination. This study used a global survey to analyze SAIDs in susceptible individuals' post‐vaccination.MethodsA cross‐sectional study was conducted among participants with self‐reported new‐onset SAIDs using the COVID‐19 Vaccination in Autoimmune Diseases (COVAD) 2 study dataset—a validated, patient‐reported e‐survey—to analyze the long‐term safety of COVID‐19 vaccines. Baseline characteristics of patients with new‐onset SAIDs and vaccinated healthy controls (HCs) were compared after propensity score matching based on age and sex in a 1:4 ratio.ResultsOf 16 750 individuals, 74 (median age 52 years, 79.9% females, and 76.7% Caucasians) had new‐onset SAID post‐vaccination, mainly idiopathic inflammatory myopathies (IIMs) (n = 23, 31.51%), arthritis (n = 15; 20.53%), and polymyalgia rheumatica (PMR) (n = 12, 16.40%). Higher odds of new‐onset SAIDs were noted among Caucasians (OR = 5.3; 95% CI = 2.9–9.7; p < .001) and Moderna vaccine recipients (OR = 2.7; 95% CI = 1.3–5.3; p = .004). New‐onset SAIDs were associated with AID multimorbidity (OR = 1.4; 95% CI = 1.1–1.7; p < .001), mental health disorders (OR = 1.6; 95% CI = 1.3–1.9; p < .001), and mixed race (OR = 2.2; 95% CI = 1.2–4.2; p = .010), where those aged >60 years (OR = 0.6; 95% CI = 0.4–0.8; p = .007) and from high/medium human development index (HDI) countries (compared to very high HDI) reported fewer events than HCs.ConclusionThis study reports a low occurrence of new‐onset SAIDs following COVID‐19 vaccination, primarily IIMs, PMR, and inflammatory arthritis. Identified risk factors included pre‐existing AID multimorbidity, mental health diseases, and mixed race. Revaccination was well tolerated by most patients; therefore, we recommend continuing COVID‐19 vaccination in the general population. However, long‐term studies are needed to understand the autoimmune phenomena arising post‐vaccination.
Expanding the role of CAR T‐cell therapy: From B‐cell hematological malignancies to autoimmune rheumatic diseases
Authors: Shumnalieva Russka , Velikova Tsvetelina , Monov Simeon 
Published: May 2024

AbstractChimeric antigen receptor (CAR) T‐cell therapy is a form of immunotherapy where the lymphocytes, mostly T‐cells, are redirected to specifically recognize and eliminate a target antigen by coupling them with CARs. The binding of CAR and target cell surface antigens leads to vigorous T cell activation and robust anti‐tumor immune responses. Areas of implication of CAR T‐cell therapies include mainly hematological malignancies (i.e., advanced B‐cell cancers); however, recent studies have proven the unprecedented success of the new immunotherapy also in autoimmune rheumatic diseases. We aim to review the recent advances in CAR T‐cell therapies in rheumatology but also to address the limitations of their use in the real clinical practice based on the data on their efficacy and safety.
Protein kinase C epsilon‐mediated modulation of T‐type calcium channels underlies alcohol withdrawal hyperexcitability in the midline thalamus
Authors: Shan Hong Qu , Smith Thuy , Klorig David C. , Godwin Dwayne W. 
Published: May 2024

AbstractBackgroundMillions of people struggle with alcohol use disorder (AUD). Abrupt abstinence after a period of chronic alcohol use can precipitate the alcohol withdrawal syndrome (AWS), which includes hyperexcitability and, potentially, seizures. We have shown that T‐type Ca2+ channels are novel, sensitive targets of alcohol, an effect that is dependent upon protein kinase C (PKC). The purpose of this study was to (1) understand midline thalamic neuronal hyperexcitability during alcohol withdrawal and its dependence on PKC; (2) characterize T channel functional changes using both current clamp and voltage clamp methods; and (3) determine which PKC isoform may be responsible for alcohol withdrawal (WD) effects.MethodsWhole‐cell patch clamp recordings were performed in midline thalamic neurons in brain slices prepared from C57bl/6 mice that underwent chronic intermittent alcohol exposure in a standard vapor chamber model. The recordings were compared to those from air‐exposed controls. T‐channel inactivation curves and burst responses were acquired through voltage‐clamp and current‐clamp recordings, respectively.ResultsWhole‐cell voltage clamp recordings of native T‐type current exhibited a depolarizing shift in the voltage‐dependency of inactivation during alcohol withdrawal compared to air‐exposed controls. A PKCε translocation inhibitor peptide mitigated this change. Current clamp recordings demonstrated more spikes per burst during alcohol withdrawal. Consistent with voltage clamp findings, the PKCɛ translocation inhibitor peptide reduced the number of spikes per burst after WD.ConclusionWe found that alcohol WD produces T channel‐mediated hyperexcitability in the midline thalamus, produced in part by a shift in the inactivation curve consistent with greater availability of T current. WD effects on T current inactivation were reduced to control levels by blocking PKCε translocation. Our results demonstrate that PKCε translocation plays an important role in the regulation of alcohol withdrawal‐induced hyperexcitability in midline thalamic circuitry.