bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Kualitas Layanan terhadap Loyalitas Penumpang Lion Air di Bandar Udara Internasional El Tari Kupang
Authors: Marselina Gerda 
Published: August 2022

Lion Air is one of many other airlines operating at El Tari International Airport in Kupang. This airline is in great demand by people in the city of Kupang because the fares are quite low and affordable for people from the middle class. This research aims to determine how much influence the quality of service (tangibles, reliability, responsiveness, assurance, empathy) has on customer loyalty. This study uses a quantitative approach with data collection carried out on 5 – 30 October 2021 by distributing questionnaires to Lion Air customers. Analysis of the data method used using Multiple Linear Regression Analysis with the aim of knowing the effect of one or more independent variables on the dependent variable. This research was conducted by distributing a survey to 100 customers who have used the services of Lion Air at El Tari Kupang International Airport. The results of the study show that (1) the tangibles variable is not significantly related to customer loyalty, (2) reliability is significantly related to customer loyalty, (3) responsiveness is not significantly related to customer loyalty, (4) assurance is not significantly related on customer loyalty, (5) empathy has a significant effect on customer loyalty, (6) simultaneously significant values ​​of tangibles (X1), reliability (X2), responsiveness (X3), assurance (X4) empathy (X5) variables affect customer satisfaction (Y) is 0.00 < 0.05 and the calculated F value is 19.625 > F table 2.31, so together or simultaneously have a significant effect on customer loyalty.
Keywords: Service Quality, Customer Loyalty
Testing the Relationship between Trading Noise and the Performance of Financial Markets: A Case Study on the Iraqi Stock Exchange
Authors: Alsaygh Nameer Ameer Jasim , Alhusseini Doaa Noman Mohammed 
Published: August 2022

The objective of this study is to examine the greatest number of behavioral variables for the financial markets, whether they are independent or intertwined. Additionally, the most significant effects that these behaviors are likely to have on the performance indicators of the Iraqi Stock Exchange are highlighted. To reach this goal, the study posed the following question: "Can models of financial behavior and its variables, including noise trading, explain the changes in the behavior of capital markets, specifically the Iraq Stock Exchange?". The Iraqi Stock Exchange market took an intentional sample to study the phenomenon of noise trading for the duration (2010-2020) which was observed on a monthly basis and for two separated time periods. To analyze the data, the study adopted (ARDL) and the program Eviews version 10 was used. The research concluded that the first period proved the existence of a long-term equilibrium relationship between noise indicators and recorded price indicators. While it became apparent in the second period that the noise indicators were more precise than in the first, the number of shares traded and the turnover rate were among the most influential noise indicators. The research emphasized the need of monitoring all performance indicators and trading for the market as a whole, as opposed to depending on a subset of indicators and for brief intervals.
Interspecific competition in perennial sedentary organisms: An individual‐based model
Authors: Uchmański Janusz , Niewolski Michał , Janiszewski Julian 
Published: August 2022

AbstractWe investigated a mathematical model of the dynamics of the ecological system consisting of two competing perennial species, each of which leads a sedentary life. It is an individual‐based model, in which the growth of each individual is described. The rate of this growth is weakened by competition from neighboring individuals. The strength of the competitors' influence depends on their size and distance to them. The conditions, in which the competitive exclusion of one of the competitors and the coexistence of both competitors take place are provided. The influence of the parameters responsible for the strength of competition, the degree of competitive asymmetry, and consideration of the importance of specific elements of the spatial structure of this ecological system on the results of the competition were analyzed. Both species co‐exist when they are equal competitors. Permanent coexistence is possible only when interspecific competition is weaker than intraspecific. When interspecific competition is stronger, the coexistence of equal interspecific competitors is random. Both species have equal probability of extinction. If species are not equal competitors, the stronger one wins. This result can be modified by different strengths of intraspecific competition. The weaker interspecific competitor can permanently coexist with stronger one, when its individuals suffer stronger intraspecific competition.
Diagnoser design strategy for discrete event system: Case study of neutralization system
Authors: Seth Abhay Deep , Biswas Santosh , Dhar Amit Kumar 
Published: August 2022

AbstractIn fault diagnosis, we study model‐based approaches to diagnose the discrete event system that efficiently represents the determined ambiguity, unpredictability, and the observation and judgment of several real‐life problems. Diagnosability is a crucial task for system reliability. This article presents a strategy for verifying the diagnosability of discrete event systems (DESs) using conjunctive normal form (CNF). This strategy introduces CNF‐based finite state machine (FSM). First, the scheme considers the model of the system for diagnosis, and CNF represents all transitions of the DES. CNF‐based FSM constructs a diagnoser known as CNF‐based diagnoser. Diagnoser tests whether faulty events can be detected or not in a given system model, that is, DES. The diagnoser verifies the diagnosability of the given DES‐based FSM using the resolve rule. The construction of diagnoser and diagnosability verification with respect to a real‐world industrial system is illustrated. The complexity of the diagnoser construction and diagnosability verification are shown to be efficient.
Cationic Polysaccharide Conjugates as Antibiotic Adjuvants Resensitize Multidrug‐Resistant Bacteria and Prevent Resistance
Authors: Mu Shaowei , Zhu Yiwen , Wang Yu , Qu Shuang , Huang Yichun , Zheng Liang , Duan Shun , Yu Bingran , Qin Meng , Xu Fu‐Jian 
Published: August 2022

AbstractIn recent years, traditional antibiotic efficacy has rapidly diminished due to the advent of multidrug‐resistant (MDR) bacteria, which poses severe threat to human life and globalized healthcare. Currently, the development cycle of new antibiotics cannot match the ongoing MDR infection crisis. Therefore, novel strategies are required to resensitize MDR bacteria to existing antibiotics. In this study, novel cationic polysaccharide conjugates Dextran‐graft‐poly(5‐(1,2‐dithiolan‐3‐yl)‐N‐(2‐guanidinoethyl)pentanamide) (Dex‐g‐PSSn) is synthesized using disulfide exchange polymerization. Critically, bacterial membranes and efflux pumps are disrupted by a sub‐inhibitory concentration of Dex‐g‐PSS30, which enhances rifampicin (RIF) accumulation inside bacteria and restores its efficacy. Combined Dex‐g‐PSS30 and RIF prevents bacterial resistance in bacteria cultured over 30 generations. Furthermore, Dex‐g‐PSS30 restores RIF effectiveness, reduces inflammatory reactions in a pneumonia‐induced mouse model, and exhibits excellent in vivo biological absorption and degradation capabilities. As an antibiotic adjuvant, Dex‐g‐PSS30 provides a novel resensitizing strategy for RIF against MDR bacteria and bacterial resistance. This Dex‐g‐PSS30 research provides a solid platform for future MDR applications.
Oxy‐/Amino‐Difluoromethylthiolation of Alkenes: Synthesis of HCF2S‐Containing Isoxazolines and Pyrazolines
Authors: Chen Xin , Shen Yun‐Tao , Zhao Zhi‐Wei , Hou Yu‐Jian , Sun Bo‐Xun , Fan Tai‐Gang , Li Ya‐Min 
Published: August 2022

AbstractOxy‐/amino‐difluoromethylthiolation of β,γ‐unsaturated oximes/hydrazones have been developed for construction of HCF2S‐containing isoxazolines and pyrazolines by employing PhSO2SCF2H as difluoromethylthiolation reagent under mild conditions. Such transformations exhibit good functional group tolerance and scalability. Possible mechanisms are proposed.magnified image
The development, implementation, and evaluation of a medical student peer teaching training curriculum during a high‐fidelity prehospital trauma simulation
Authors: Rudinsky Sherri L. , Spalding Carmen , Conley Sean P. , Everett Lauren , Cole Rebekah 
Published: August 2022

AbstractObjectivesWhile peer teaching has been found to be an effective technique during simulation, no peer teaching training curriculum (PTTC) has been developed for simulation‐based learning. The objective of this study, therefore, was to develop, implement, and evaluate a PTTC during a high‐fidelity trauma simulation.MethodsWhen developing the PTTC, we combined several validated learning models for teaching and learning procedural skills. We then implemented it over 6 days in two phases: instructional (learning how to teach) and experiential (practicing teaching). Our research team conducted a qualitative evaluation to evaluate the effectiveness of the PTTC. We analyzed written self‐reflections from 20 second‐year medical students who completed the PTTC. Using an iterative inductive approach to data analysis, our research team first individually coded the reflection papers. We then met to define and categorize the codes into themes. Finally, we compared these themes to the PTTC's objectives to evaluate the curriculum's effectiveness.ResultsThe following themes emerged from the data: 1) learning through teaching; 2) self‐actualization as an educator; and 3) role of physician as leader, advocate, and educator. The students described how the peer teaching experience improved their own procedural knowledge and skills. They also reported an increase in their leadership and communication skills as they effectively provided guidance and feedback to their peers, which led to their self‐actualization as an educator. This self‐actualization inspired the peer teachers' professional identity formation as leaders and educators in medicine.ConclusionsBased on these themes, we found our PTTC to be an effective curricular design. Our results reinforce previously described benefits to both peer teachers and learners in regard to medical knowledge and skills acquisition and furthers the academic emergency medicine community's understanding of how students' involvement as peer teachers in simulation‐based education impacts their professional development.
Automated image analysis as a tool to measure individualised growth and population structure in Chinook salmon (Oncorhynchus tshawytscha)
Authors: Tuckey Nicholas P. L. , Ashton David T. , Li Jiakai , Lin Harris T. , Walker Seumas P. , Symonds Jane E. , Wellenreuther Maren 
Published: August 2022

AbstractSelective breeding programmes depend on high‐quality measurements of phenotype and genotype with repeated individualised phenotype measurements throughout the life cycle being optimal. Recent advances in electronics and computer vision technologies offer opportunities to improve both the quality, quantity and individualisation of repeated phenotypic measurements, but remain underutilised in aquaculture breeding programmes. In this study, we compare manual measurements of phenotypic traits of Chinook salmon (Oncorhynchus tshawytscha) with digital images and an automated software analysis pipeline written in the Python® programming language using the OpenCV machine vision library. Manual measurements of length, girth and weight of passive integrated transponder‐tagged individuals were compared with image‐based measures of 738 individuals over a time span from June–December 2019. Linear regressions showed strong correlations between manual and automated measurements for fork length, girth and weight (R2 = 0.989, R2 = 0.918, R2 = 0.987, respectively). Image‐based software measurements proved powerful for tracking general population changes in growth over the study period while retaining insights about subpopulations deviating from the average (e.g. losing weight). Taken together, our study demonstrates that image‐analysis can be used to estimate fish growth traits with a high degree of precision, requires reduced labour and demonstrates that additional knowledge can be gained through tracking individuals throughout production to harvest.
Classification of spatio‐temporal patterns in charging and discharging of Li‐ion batteries
Authors: Sheintuch Moshe , Nekhamkina Olga 
Published: August 2022

AbstractWe classify the dynamic patterns that emerge in charging or discharging of Li‐ion batteries, under galvanostatic conditions, using simulations of the two‐phase one‐dimensional (1D) porous electrode model. This work examines the effect of the exchange current function, R0(X), which expresses the nature of kinetics. This extends our previous study with R0 = 1 where the same pattern emerges in charging or discharging, whether as a homogeneous or a step‐wise process made of multiple symmetry breaking events. With commonly‐used asymmetric R0(X), the emerging patterns may be one of the two above or as fronts that follow single SB event and the lithiation/delithiation behaviors are different. These effects are clear when parameters are uniform; nonuniformity leads to noise that mask the behavior. The full four‐variable model exhibits SB, even in absence of noise, since the liquid potential gradient () works like a perturbation. This similarity allows us to derive approximations to the full model behavior.
Super tough interpenetrating polymeric network of styrene butadiene rubber‐poly(methyl methacrylate) incorporated with general purpose carbon black (N660)
Authors: James Jose , Thomas George Vazhathara , Sisanth Krishanagegham Sidharathan , Maria Hanna Joseph , Rouxel Didier , Strankowski Michal , Kalarikkal Nandakumar , Laroze David , Oluwafemi Oluwatobi Samuel , Volova Tatiana , Thomas Sabu 
Published: August 2022

AbstractA classic set of polymeric interpenetrating polymeric network (IPN) micro‐composites has been fabricated using an elastomer—styrene butadiene rubber [SBR], a thermoplastic poly(methyl methacrylate)‐PMMA and with carbon black (CB)‐N660 as a filler and reinforcing agent. This synthesized IPN composite can be promisingly employed as a toughened plastic and vibrational damper in a wide service range with excellent thermal stability, optimum storage modulus, and co‐continuous morphological pattern. transmission electron microscopy, scanning electron microscopy, atomic force microscopy, and Raman imaging are successfully employed for the morphological characterization. Mechanical, thermal, viscoelastic, and damping features of IPN composites have been carefully studied in detail and compared with parent polymers, corresponding IPN, and composites. The double network formation of filler CB and plastic component PMMA form an intercalated morphological pattern in the SBR matrix with 20 times enhancement in toughness value compared with neat SBR. The fabrication and characterization adopted in this work can definitely act as a platform for the design of new toughened material with excellent performance and cost‐effectiveness.
Atypical structural connectivity of language networks in autism spectrum disorder: A meta‐analysis of diffusion tensor imaging studies
Authors: Li Min , Wang Yide , Tachibana Masaya , Rahman Shafiur , Kagitani‐Shimono Kuriko 
Published: August 2022

AbstractPatients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta‐analysis aimed to comprehensively elucidate the abnormality in language‐related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta‐regression analysis. Thirty‐three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta‐analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language‐associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under‐connectivity hypothesis and demonstrate the widespread abnormal microstructure of language‐related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere.Lay SummaryThis meta‐analysis explored abnormalities in white matter connectivity in language networks of individuals with ASD. Significantly reduced white matter integrity was found in all language‐associated tracts in subjects with ASD compared with TD controls. In addition, structural disturbances of language networks in the autistic brain exhibit a leftward tendency, and more prominent abnormalities are observed in younger people with ASD than in adults.
A TGF‐α and TGF‐β1 Poloxamer‐based micelle/hydrogel composite: A promising novel candidate for the treatment of anosmia
Authors: Moradi Salah , Alizadeh Rafieh , Yazdian Fatemeh , Farhadi Mohammad , Kamrava Seyed Kamran , Simorgh Sara 
Published: August 2022

AbstractAnosmia is the inability to smell or loss of the sense of smell. It can reduce your ability to detect the smell of smoke, gas leaks, or spoiled food, as well as hinder the quality of life related to social interactions and feelings of well‐being. In the current study, a drug delivery composite was designed to cure anosmia and its efficiency in delivering transforming growth factor alpha (TGF‐α) and transforming growth factor beta 1 (TGF‐β1) to the nasal cavity was evaluated. Bovine serum albumin (BSA) was used as a model protein for encapsulation into Poloxamers 407 micelles. For the optimization of the BSA‐micelle formulation, a two‐parameter five‐level central composite design (CCD) was applied. The BSA‐micelle was optimized with a particle size of 41 nm, drug loading of 8%, and encapsulation efficiency of 74%. Further, the BSA‐micelle was characterized by FESEM, TEM, and FTIR. The analysis of release profile suggested high‐paced free BSA release compared to the gradual and prolonged release of BSA‐micelle/hydrogel and BSA‐micelles. The cytotoxicity assay demonstrated the safety of TGF‐α and TGF‐β1‐micelles/hydrogel. Moreover, it was observed that TGF‐α and TGF‐β1 within the hydrogels promote cellular viability and human olfactory ectomesenchymal stem cell OE‐MSCs proliferation. In conclusion, According to the results of our study, the TGF‐α and TGF‐β1‐micelle/hydrogel‐based delivery system provides a suitable alternative for anosmia treatment.
Pivotal roles of tumor‐draining lymph nodes in the abscopal effects from combined immunotherapy and radiotherapy
Authors: Liu Zhaoyun , Yu Zhiyong , Chen Dawei , Verma Vivek , Yuan Chenxi , Wang Minglei , Wang Fei , Fan Qing , Wang Xingwu , Li Yang , Ma Yuequn , Wu Meng , Yu Jinming 
Published: August 2022

AbstractBackgroundCurrently, due to synergy enhancement of anti‐tumor effects and potent stimulation of abscopal effects, combination therapy with irradiation and programmed cell death protein 1/programmed death‐ligand 1 (PD‐1/PD‐L1) immune checkpoint inhibition (immuno‐radiotherapy, iRT) has revolutionized the therapeutic guidelines. It has been demonstrated that tumor‐draining lymph nodes (TDLN) are essential for effective antitumor immunity induced by radiotherapy, immunotherapy, or iRT. Given that the function of TDLN in iRT remains unclear, this study aimed to investigate the function and mechanism of TDLN in iRT‐induced abscopal effects.MethodsThe function of TDLN was evaluated using unilateral or bilateral MC38 and B16F10 subcutaneous tumor models with or without indicated TDLN. The flow cytometry, multiple immunofluorescence analysis, and NanoString analysis were utilized to detect the composition and function of the immune cells in the primary and abscopal tumor microenvironment. Additionally, we tempted to interrogate the possible mechanisms via RNA‐sequencing of tumor‐infiltrating lymphocytes and TDLN.ResultsTDLN deficiency impaired the control of tumor growth by monotherapy. Bilateral TDLN removal rather than unilateral TDLN removal substantially curtailed iRT‐stimulated anti‐tumor and abscopal effects. Furthermore, in the absence of TDLN, the infiltration of CD45+ and CD8+ T cells was substantially reduced in both primary and abscopal tumors, and the anti‐tumor function of CD8+ T cells was attenuated as well. Additionally, the polarization of tumor‐associated macrophages in primary and abscopal tumors were found to be dependent on intact bilateral TDLN. RNA‐sequencing data indicated that impaired infiltration and anti‐tumor effects of immune cells partially attributed to the altered secretion of components from the tumor microenvironment.ConclusionsTDLN play a critical role in iRT by promoting the infiltration of CD8+ T cells and maintaining the M1/M2 macrophage ratio.
Synthesis, Biological Activity and Molecular Docking Studies of Heterocyclic Chalcones
Authors: Kamra Nisha , Rani Suman , Thakral Sumit , Singh Ajeet , Sangwan Payare L. , Singh Shashank K. , Thakral Samridhi , Singh Vikramjeet , Kumar Devinder 
Published: August 2022

AbstractNineteen heterocyclic chalcones were synthesized from 4‐acetyl‐5‐methylquinolylpyrazole and heteroaryl (imidazole, pyrazole, thiophene, indole and triazole) aldehydes and were screened in vitro using four tumor cell lines for their cytotoxic capability and for antimicrobial activity. The chalcone 5b exhibited the highest activity with IC50 values 2.14 μM against colon (HCT‐116) and 5.0 μM, against prostate (PC‐3) cancer cell lines and also displayed good activity against fungal strain (A. niger) with MIC value 9.1 μM. The chalcones 5q and 5p displayed good activity against bacterial strains (S. aureus) having MIC value 2.6 μM and fungal strain (C. albicans) having MIC value 5.4 μM, respectively. The molecular docking outcome revealed that the synthesized heterocyclic chalcones demonstrated hydrogen bond, hydrophobic and electrostatic interactions with their respective biochemical targets.
Ultrathin Pd‐Based Perforated Nanosheets for Fuel Cells Electrocatalysis
Authors: Guo Jingchun , Jiao Shilong , Ya Xiuying , Zheng Huiling , Wang Ran , Yu Jiao , Wang Huanyu , Zhang Zhilin , Liu Wei , He Congxiao , Fu Xucheng 
Published: August 2022

AbstractWith intriguing physiochemical properties and widespread promising applications, ultrathin nanosheets (NSs) with only atomic thickness have drawn increasing attention. The ultrathin Pd, Pd‐based alloy and intermetallic perforated nanosheets (PNSs) have been extensively studied in fuel cells (FCs)‐related reactions, including the cathodic oxygen reduction reaction (ORR) and anodic methanol, ethanol, and formic acid oxidation reactions (MOR, EOR, and FAOR). In this review, we briefly summarize the preparation of ultrathin Pd, Pd‐based alloy and intermetallic PNSs, as well as their advantages in electrocatalytic applications including ORR, MOR, EOR, and FAOR. Finally, the major challenges and perspectives for future development of ultrathin Pd, Pd‐based alloy and intermetallic PNSs electrocatalysts are proposed to accelerate the commercialization of future promising FCs.