bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual species sphingosine-1-phosphate lyase inhibitors to combine antifungal and anti-inflammatory activities in cystic fibrosis: a feasibility study
Authors: Cellini Barbara , Pampalone Gioena , Camaioni Emidio , Pariano Marilena , Catalano Flavia , Zelante Teresa , Dindo Mirco , Macchioni Lara , Di Veroli Alessandra , Galarini Roberta , Paoletti Fabiola , Davidescu Magdalena , Stincardini Claudia , Vascelli Gianluca , Bellet Marina Maria , Saba Julie , Giovagnoli Stefano , Giardina Giorgio , Romani Luigina , Costantini Claudio 
Published: December 2023

AbstractCystic fibrosis (CF) is an autosomal recessive disorder characterized by respiratory failure due to a vicious cycle of defective Cystic Fibrosis Transmembrane conductance Regulator (CFTR) function, chronic inflammation and recurrent bacterial and fungal infections. Although the recent introduction of CFTR correctors/potentiators has revolutionized the clinical management of CF patients, resurgence of inflammation and persistence of pathogens still posit a major concern and should be targeted contextually. On the background of a network-based selectivity that allows to target the same enzyme in the host and microbes with different outcomes, we focused on sphingosine-1-phosphate (S1P) lyase (SPL) of the sphingolipid metabolism as a potential candidate to uniquely induce anti-inflammatory and antifungal activities in CF. As a feasibility study, herein we show that interfering with S1P metabolism improved the immune response in a murine model of CF with aspergillosis while preventing germination ofAspergillus fumigatusconidia. In addition, in an early drug discovery process, we purified human andA. fumigatusSPL, characterized their biochemical and structural properties, and performed an in silico screening to identify potential dual species SPL inhibitors. We identified two hits behaving as competitive inhibitors of pathogen and host SPL, thus paving the way for hit-to-lead and translational studies for the development of drug candidates capable of restraining fungal growth and increasing antifungal resistance.
An artificial neural network approach for the language learning model
Authors: Sabir Zulqurnain , Ben Said Salem , Al-Mdallal Qasem 
Published: December 2023

AbstractThe current study provides the numerical solutions of the language-based model through the artificial intelligence (AI) procedure based on the scale conjugate gradient neural network (SCJGNN). The mathematical learning language differential model is characterized into three classes, named as unknown, familiar, and mastered. A dataset is generalized by using the performance of the Adam scheme, which is used to reduce to mean square error. The AI based SCJGNN procedure works by taking the data with the ratio of testing (12%), validation (13%), and training (75%). An activation log-sigmoid function, twelve numbers of neurons, SCJG optimization, hidden and output layers are presented in this stochastic computing work for solving the learning language model. The correctness of AI based SCJGNN is noted through the overlapping of the results along with the small calculated absolute error that are around 10–06 to 10–08 for each class of the model. Moreover, the regression performances for each case of the model is performed as one that shows the perfect model. Additionally, the dependability of AI based SCJGNN is approved using the histogram, and function fitness.
Integrating immersive experience into hybrid education: a case study in fintech experimental education
Authors: Xie Tiande , Wang Xiaoyan , Cifuentes-Faura Javier , Xing Yongkang 
Published: December 2023

AbstractThe fintech (financial technology) employment market presents significant barriers to entry, including rigorous selection criteria based on factors such as profitability, risk, security, and confidentiality, which limit students’ opportunities to enter the industry. The negative impact of the COVID-19 pandemic has further exacerbated the challenges faced by the fintech employment market in China. Consequently, it is crucial to assist fintech students in enhancing their professional abilities to navigate the job market successfully. Virtual reality is gaining increasing importance in educational fields due to its immersive virtual simulation capabilities. In this study, a hybrid fintech course was designed based on the principles of outcome-based education theory and the flipped classroom model. The project objective was to provide students with virtual training and project-based assessments that facilitate a seamless transition from theoretical knowledge to practical application in the industry. To evaluate the effectiveness of hybrid education, a comparative user experiment was conducted involving 60 participants (students) from Guangdong University of Finance. The study used median data, average data, and the entropy weight method for analysis. The results indicated that hybrid education has a positive impact on individual-level critical thinking, communication, and teamwork skills. We believe that our study can provide critical data references for global online/hybrid education researchers and contribute to the education field.
Molecular insights into the mechanisms of a leaf color mutant in Anoectochilus roxburghii by gene mapping and transcriptome profiling based on PacBio Sequel II
Authors: Huang Huiming , Zou Hui , Lin Hongting , Dai Yimin , Lin Jiangbo 
Published: December 2023

AbstractPlants with partial or complete loss of chlorophylls and other pigments are frequently occurring in nature but not commonly found. In the present study, we characterize a leaf color mutant ‘arly01’ with an albino stripe in the middle of the leaf, which is an uncommon ornamental trait in Anoectochilus roxburghii. The albino “mutant” middle portion and green “normal” leaf parts were observed by transmission electron microscopy (TEM), and their pigment contents were determined. The mutant portion exhibited underdevelopment of plastids and had reduced chlorophyll and other pigment (carotenoid, anthocyanin, and flavonoid) content compared to the normal portion. Meanwhile, comparative transcript analysis and metabolic pathways mapping showed that a total of 599 differentially expressed genes were mapped to 78 KEGG pathways, most of which were down-regulated in the mutant portion. The five most affected metabolic pathways were determined to be oxidative phosphorylation, photosynthesis system, carbon fixation & starch and sucrose metabolism, porphyrin and chlorophyll metabolism, and flavonoid biosynthesis. Our findings suggested that the mutant ‘arly01’ was a partial albinism of A. roxburghii, characterized by the underdevelopment of chloroplasts, low contents of photosynthetic and other color pigments, and a number of down-regulated genes and metabolites. With the emergence of ornamental A. roxburghii in southern China, ‘arly01’ could become a popular cultivar due to its unique aesthetics.
The impact of urban population on housing cost: the case of Australia
Authors: Leishman Chris , Liang Weidong , Sim Nicholas 
Published: December 2023

AbstractRapid population expansions in urban areas have significant implications for housing costs, creating challenges for housing affordability. However, estimating the causal effect of population on housing costs is challenging due to various confounding issues, such as unobserved location-specific attributes, measurement error, and the potential bi-directional relationship between population and housing costs. To address them, we adopt a city-level analysis and introduce a novel instrumental variable (IV) that enables us to employ fixed effects IV estimation. Our findings indicate that housing costs tend to increase at a faster rate than population growth. As individuals and households with lower incomes tend to allocate a larger proportion of their earnings to housing expenses, an upward trajectory of housing costs may dramatically widen the inequality in income after housing expenditure.
A day in the life of a senior animal technician and technical trainer
Authors: Lane Kelly 
Published: December 2023

Kelly Lane is a Senior Animal Technician and Technical Trainer at the Walter and Eliza Hall Institute of Medical Research (WEHI) in Melbourne, Australia. Kelly is part of the WEHI Bioservices Team which won the inaugural Research Support Award from the Biochemical Society. Kelly and the team of technicians are trained to provide highly regulated animal welfare, to identify a range of phenotypes and illnesses in mice and to perform complex experimental procedures while ensuring animals are treated with compassion and respect. The team works collaboratively with researchers in over 50 laboratories!
Kelly gives us an insight into life as an animal technician and trainer within the WEHI.
Dimensionality of Speech-Language Pathologists' Child-Directed Talk During School-Based Therapy With Primary-Grade Students
Authors: Sun Jing , Justice Laura M. , Shen Ye , Jiang Hui , Villasanti Hugo Gonzalez , Schmitt Mary Beth 
Published: December 2023

Purpose:The purpose of this study was to examine the measurement structure of the linguistic features of speech-language pathologists' (SLPs) talk during business-as-usual therapy sessions in the public schools and to test the longitudinal stability of a theorized dimensional structure consisting of quantity, grammatical complexity, and lexical complexity.Method:Seventy-five SLPs' talk during therapy sessions with primary-grade students was automatically transcribed and coded for linguistic features from a corpus of 579 videotaped therapy session videos collected at the beginning, middle, and end of one school year with an approximately 12-week interval. We explored video characteristics and conducted descriptive statistics on eight linguistic indices of SLP talk to examine the variability in SLP talk between therapy sessions. Confirmatory factor analyses were used to explore the dimensional structure of SLP talk at each time point separately for the theorized three dimensions, and we conducted longitudinal measurement invariance analyses to test the stability of the three-factor structural model across the academic year.Results:There were considerable variabilities among SLPs in the characteristics of SLP talk during therapy sessions. The proposed three-factor structure of SLP talk consisting of quantity, grammatical complexity, and lexical complexity had good model fit at all three time points. The linguistic measurement properties representing the three factors were invariant over time.Conclusions:Results provided robust evidence of between-SLP variability in their child-directed talk, established a three-dimensional structure of the linguistic features in SLP talk, and identified that the linguistic features in SLP talk stably measured the same constructs across one school year, based on measurement invariance. The dimensions of SLP talk during therapy with students may represent important, malleable features of therapy that influence child language gains.
Power and signal dual modulation‐based bidirectional communication between intrinsically safe converters
Authors: Wang Tan , Yu Dongsheng , Tang Xudong , Yu Samson S. , Hu Yihua 
Published: December 2023

AbstractIn harsh operating environments such as mines and gas stations, intrinsically safe power converters are required for electronics devices. Reliable communication is the key ensuring good performance of monitoring and coordinated control for intrinsically safe converters. This paper proposes a power and signal dual modulation (PSDM)‐based communication method for intrinsically safe parallel‐connected Buck converters. The bidirectional communication between two parallel Buck converters is realized by combining the frequency shift keying (FSK) and phase shift keying (PSK) methods. In addition, switching frequencies are employed to identify the signals received from the power converters interfacing different sources. According to the intrinsic safety requirement, inductors and capacitors are redesigned based on the modulated voltage ripples during communication. Simulations and prototype experiments are performed to verify the feasibility of the proposed bidirectional communication for intrinsically safe converters. The amplitude of voltage ripples modulated for carrying data is restricted to less than 1.5% of the bus voltage. The transmission speed can be achieved from 0.5 to 2kbps depending on the adopted switching frequencies. The demodulation delay is less than 5% duration of one bit of transmitted data.
Éduquer, soigner, gouverner, analyser. Le pari de l’impossible
Authors: Martins Luiz Paulo Leitão 
Published: December 2023

À deux reprises, Freud se saisit du « bon mot » à propos de trois métiers impossibles, éduquer, soigner et gouverner : en 1925 dans sa préface à Jeunes en souffrance d’August Aichhorn, et dans son célèbre article L’analyse avec fin et sans fin, de 1937. En se reconnaissant convoqué à la tâche de soigner, puis en s’interrogeant sur les finalités de l’analyse, son propos était de montrer dans quelles conditions l’expérience analytique éclaire la compréhension de ce qui lie ces pratiques sociales au signe de l’impossibilité. Jusqu’à quel point le roc de la castration dont parlait Freud et l’assomption de la féminité peuvent se manifester d’une autre façon que celle de la jouissance phallique était l’une des questions posées par Lacan lorsqu’il développait les possibilités d’affirmation d’une jouissance autre et de ce qui dans le sujet en tant que symptôme résiste à son assimilation à l’Autre. Le pari de l’impossible correspondrait à une ouverture à ce qui, dans chacune de ces pratiques sociales, reste du sujet comme ingouvernable et, en même temps, à une affirmation du singulier face à la primauté de l’universel.
Adolescent généralisé ? Considérations sur la ségrégation chez Jacques Lacan
Authors: Marinho Raquel , Guerra Andréa M. C. 
Published: December 2023

Dans cet article, nous expliquons la formulation de Lacan (1967a) à propos de la généralisation de l’enfant et nous effectuons un transfert vers la question de l’adolescence. En utilisant la Psychanalyse comme méthode d’investigation, au sein d’un cas clinique en contexte institutionnel, nous avons identifié la question quant aux difficultés du lien social pour les adolescents et leur entourage. Nous avons ensuite justifié les lacunes lacaniennes d’une ségrégation à échelle mondiale en association avec l’inexistence de « grandes personnes ». Les résultats ont montré l’avènement de l’idée de l’individu et l’absence d’une symbolisation de la castration, ce qui nous a permis de conclure que la généralisation de l’adolescent est une subjectivité qui ne peut s’instaurer socialement.
Retour du pouvoir personnel Résonances psychiques et figures du trauma
Authors: Ben Smaïl Nédra 
Published: December 2023

La Tunisie a connu ces dernières années des bouleversements politiques majeurs : une révolution qui a mis fin à plus de cinquante ans de dictature, suivie d’une décennie démocratique, récemment interrompue.
Quel est l’impact de la dimension politique sur la réalité psychique du patient, et celle de l’analyste ? Comment le politique affecte l’espace de la cure ?
A partir d’exemples cliniques, ce texte interroge les spécificités psychiques conscientes et inconscientes d’un sujet qui « vit sous dictature », notamment le recours au clivage de sa personnalité, et la prise de la dictature dans le corps pulsionnel.
Si la « décennie révolution » a pu constituer un véritable agent de réparation narcissique et produire des déplacements significatifs de l’idéal du moi, quels sont les effets du retour du pouvoir autocratique sur les subjectivités ? Entre sentiment de déprivation et blessure narcissique liée à la perte de l’objet « démocratie », le retour de la dictature semble être vécu par le sujet comme un trauma révélé dans l’après-coup.
Profitable, low-emission nitrogen application strategies in Western Australian dryland cropping
Authors: d’Abbadie C. , Kharel S. , Kingwell R. , Abadi Ghadim A. 
Published: December 2023

Context Australian grain producers may need to report their farm greenhouse emissions. Accordingly, nitrogen fertiliser application strategies will need to include consideration of their environmental as well as economic impacts. Aims We aim to identify the nitrogen application strategies suited to dryland cropping in Western Australia that are highly profitable and that generate lower emissions. Methods Simulation modelling is used to examine the gross margins and emissions associated with four broadly different nitrogen strategies at 14 locations in the grainbelt of Western Australia for different frequencies of cropping. Key results Strategies that generate high gross margins and moderate emissions often focus on maximising the gross margin of crop production, and apply a decile 5 view of unfolding seasonal conditions. A similarly useful strategy applies nitrogen in a fixed ratio where a tonne of expected cereal receives 45 units of nitrogen from various sources, and a tonne of expected canola receives 70 units of nitrogen from various sources. Where a farmer prefers to apply a constant rate of nitrogen, then exceedingly high or low rates of application should mostly be avoided, either for economic or for environmental reasons, with the better option at many locations being to apply 50 or 75 kg N/crop ha. Conclusions A few preferred nitrogen application strategies are suggested to be applicable to dryland cropping in the study region. The strategies achieve high profits and generate moderate or low emissions. Implications Selection of highly profitable and lower emission nitrogen application strategies across the study region can deliver sizeable economic and environmental benefits.
A review of automatic detection of epilepsy based on EEG signals
Authors: Ren Qirui , Sun Xiaofan , Fu Xiangqu , Zhang Shuaidi , Yuan Yiyang , Wu Hao , Li Xiaoran , Wang Xinghua , Zhang Feng 
Published: December 2023

Abstract
Epilepsy is a common neurological disorder that occurs at all ages. Epilepsy not only brings physical pain to patients, but also brings a huge burden to the lives of patients and their families. At present, epilepsy detection is still achieved through the observation of electroencephalography (EEG) by medical staff. However, this process takes a long time and consumes energy, which will create a huge workload to medical staff. Therefore, it is particularly important to realize the automatic detection of epilepsy. This paper introduces, in detail, the overall framework of EEG-based automatic epilepsy identification and the typical methods involved in each step. Aiming at the core modules, that is, signal acquisition analog front end (AFE), feature extraction and classifier selection, method summary and theoretical explanation are carried out. Finally, the future research directions in the field of automatic detection of epilepsy are prospected.
Quantum cascade lasers grown by MOCVD
Authors: Sun Yongqiang , Cui Guangzhou , Guo Kai , Zhang Jinchuan , Zhuo Ning , Wang Lijun , Liu Shuman , Jia Zhiwei , Fei Teng , Li Kun , Liu Junqi , Liu Fengqi , Zhai Shenqiang 
Published: December 2023

Abstract
Sharing the advantages of high optical power, high efficiency and design flexibility in a compact size, quantum cascade lasers (QCLs) are excellent mid-to-far infrared laser sources for gas sensing, infrared spectroscopic, medical diagnosis, and defense applications. Metalorganic chemical vapor deposition (MOCVD) is an important technology for growing high quality semiconductor materials, and has achieved great success in the semiconductor industry due to its advantages of high efficiency, short maintenance cycles, and high stability and repeatability. The utilization of MOCVD for the growth of QCL materials holds a significant meaning for promoting the large batch production and industrial application of QCL devices. This review summarizes the recent progress of QCLs grown by MOCVD. Material quality and the structure design together determine the device performance. Research progress on the performance improvement of MOCVD-grown QCLs based on the optimization of material quality and active region structure are mainly reviewed.
Investigation of mechanical characteristics of coir fibre/hexagonal boron nitride reinforced polymer composite
Authors: Venkatachalam Gopalan , Aravindh Sampath , Mark Mebin Paul , Shenbaga Velu Pitchumani , Bharathraj KB , Varghese Aswin K , Subramani Viswanath Perinkulam , Ramakrishnan Ramachandran , Manickam Selvaraj 
Published: December 2023

Abstract
Coir fibre, derived from the husk of coconuts, is a natural resource and they are biodegradable and renewable. By incorporating them, any product can become more lightweight and durable, meeting the global desire for eco-friendly and efficient designs. This study has the potential to significantly alter the design of components such as switches and enclosures and it has an international research impact on engineering applications. Coir fibres and Hexagonal-Boron Nitride (h-BN) possess superior mechanical, thermal and physical qualities when reinforced with polymers. Hence novel study is carried out to examinecoir fibre/h-BN reinforcement in epoxy polymer composites. Response Surface Methodology via Box-Behnken Design (BBD) is utilized to investigate the mechanical properties such as Tensile Strength, Impact Strength and Young’s Modulus of coir fibre/h-BN reinforced epoxy polymer composite. The effect of input parameters onresponse is evaluated through regression equation and analysis of variance by using statistical Minitab software. The response optimization represents the maximum Young’s modulus (1597 MPa) by combining coir fibre (5 wt%), Coir fibre powder size (75 μm) and h-BN (1 wt%). The response optimization portrays the maximum Ultimate Tensile strength(36.83 MPa) by combining coir fibre (1 wt%), coir fibre powder size (220 μm) and h-BN (3.78 wt%). The response optimization reveals the maximum Impact strength (98.35 J m−2) by combining coir fibre (5 wt%), coir fibre powder size (225 μm) and h-BN(1 wt%). This work emphasises the use of composite materials that are environmental friendly in a variety of industries such as automotive, electrical, etc.
Analysis of optical properties of diallyldimethylammonium chloride dielectric-coated gold nanospheres for targeted drug delivery
Authors: Shaukat Saadia , Abbas Ghulam , Afzaal Muhammad , Naz Muhammad Yasin , Qamar Muhammad , Ghuffar Abdul , Khan Yasin , Al-Arainy Abdulrehman Ali , Shoaib Muhammad 
Published: December 2023

Abstract
This study theoretically analyzed the optical properties and electric field enhancement of gold nanospheres. Based on numerical analysis, the gold nanospheres were coated experimentally with diallyldimethylammonium chloride (C8H16ClN) for targeted drug delivery. Numerically, a resonance peak for 10 nm nanospheres was observed at 510 nm. As the radius increased from 10 nm to 100 nm, the resonance peak shifted from 510 nm to 605 nm. The nanosphere radius also affected the extinction cross-section. The resonance peaks showed a red shift as the radius of the nanosphere increased. For experiment analysis, gold nanospheres were synthesized using a seed-mediated technique and then coated with different concentrations of C8H16ClN. The UV absorbance by the nanospheres increased with an increase in the concentration of C8H16ClN from 10 mg ml−1 to 20 mg ml–1. UV–vis spectrum confirmed a rise in resonance peaks with increasing coating concentration. The coated gold nanospheres were used to deliver the doxorubicin-HCl (DOX-HCl) drug. Maximum drug release was observed when the temperature was set at 50 °C. It was concluded that the nanospheres, coated with 20 mg ml–1 of C8H16ClN, are excellent candidates for drug delivery applications. The gold nanospheres with a radius of 50 nm were best for target drug delivery, and the particles above 50 nm were best for thermal therapies for cancer treatment.