bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synergistic inhibitory effect of honey and Lactobacillus plantarum on pathogenic bacteria and their promotion of healing in infected wounds
Authors: Li Mei , Xiao Hong , Su Yongmei , Cheng Danlin , Jia Yan , Li Yingli , Yin Qi , Gao Jieying , Tang Yong , Bai Qunhua 
Published: December 2022

Abstract
Prevention and control of infections have become a formidable challenge due to the increasing resistance of pathogens to antibiotics. Probiotics have been discovered to have positive effects on the host, and it is well-known that some Lactobacilli are effective in treating and preventing inflammatory and infectious diseases. In this study, we developed an antibacterial formulation consisting of honey and Lactobacillus plantarum (honey-L. plantarum). The optimal formulation of honey (10%) and L. plantarum (1×109 CFU/mL) was used to investigate its antimicrobial effect and mechanism in vitro, and its healing effect on wound healing of whole skin infections in rats. Biofilm crystalline violet staining and fluorescent staining results indicated that the honey-L. plantarum formulation prevented the biofilm formation in Staphylococcus aureus (S. aureus) and Pseudomonas aeruginosa (P. aeruginosa) and increased the number of dead bacteria in the biofilms. Further mechanism studies revealed that the honey-L. plantarum formulation may inhibit biofilm formation by upregulating biofilm-related genes (icaA, icaR, sigB, sarA, and agrA) and downregulating quorum sensing (QS) associated genes (lasI, lasR, rhlI, rhlR, and pqsR). The growth curve implied that L. plantarum may have used honey to produce active antibacterial substances. Furthermore, the honey-L. plantarum formulation decreased the number of bacteria in the infected wounds of rats and accelerated the formation of new connective tissue to promote wound healing. Our study suggests that the honey-L. plantarum formulation provides a promising option for the treatment of pathogenic infections and wound healing.
Transaortic shallow septal myectomy with mitral valve repair in treatment of hypertrophic obstructive cardiomyopathy with severe interstitial fibrosis ： compared to extended Morrow procedure
Authors: Guo Yi , Li Huangjie , Wu Zhongcheng , Duan Yuyin , Meng Yanhai , An Yuling , Yan Lei 
Published: December 2022

Abstract
BACKGROUND: There is lack of outcomes of transaortic shallow septal myectomy with mitral valve(MV) repair comparing with extended Morrow procedure in treatment of hypertrophic obstructive cardiomyopathy (HOCM) with severe interstitial fibrosis.
OBJECTIVES: We report a 4-year single-center experience with transaortic shallow septal myectomy in combination with MV repair and compare it with extended Morrow surgery in a cohort of HOCM patients with severe interstitial fibrosis.
METHODS: 36 patients who received surgery have been enrolled in current study. Their perioperative characteristics with echocardiographic results, myocardial histopathology and follow up outcomes had been graded and analyzed. We included two groups:13 patients who received shallow septal myectomy concomitant with mitral valvuloplasty (MVP) due to the intrinsic abnormalities of MV apparatus (Shallow septal myectomy + MVP group), and 23 patients who only received extended Morrow procedure without any intrinsic MV abnormalities (Extended Morrow group).
RESULTS: Preoperative results revealed that left ventricular end-diastolic dimension (LVEDD) (46.9±1.41mm vs. 11.4±2.17mm, p＜0.05), posterior wall thickness (PWT) (13.3±2.66mm vs. 11.4±2.17mm, p＜0.05), left ventricular mass (LVM) (440.2±78.9g Vs. 310.9±127.6g, p＜0.05), left ventricular mass index (LVMI) (231.7±75.39g/m2 Vs. 180.2±65.07g/m2, p＜0.05 ) and late gadolinium enhancement (LGE) (72.73% Vs. 27.27%, p＜0.01 ) had showed the significant difference between the two group. In the myocardial histopathological evaluation, more severe interstitial fibrosis of the resected myocardium in Shallow septal myectomy + MVP group had showed statistical significant difference compared with Extended Morrow group (p＜0.05). Shallow septal myectomy + MVP procedure sufficiently release left ventricular outflow tract obstruction(LVOTO) and decrease mitral regurgitation (MR) with no increase of postoperative arrhythmia compared with Extended Morrow surgery.
CONCLUSIONS: Shallow septal myectomy associated with concomitant MVP provided excellent results offering adequate treatment of LVOTO with no increase of postoperative arrhythmia complication for HOCM patients with severe interstitial fibrosis.
Bridging medical doctors' education and population health needs to address health disparities in Indonesia
Authors: Sebong Perigrinus Hermin , Pardosi Jerico , Goldman Roberta E , Suryo Anindyo Pradipta , Meliala Andreasta 
Published: December 2022

Abstract
The diversity in contexts such as population demographics, high burden of diseases, and geographical areas experiences numerous challenges to health care accessibility and adequate health staff skills, particularly for those in the disadvantaged areas, borderlands, and outer islands. This study aims to assess the current understanding and perspectives on public health skills and competencies among doctors in remote areas. A total of 93 participants in six remote districts participated in this study which used a rapid assessment procedures approach and focuses group discussion method. Overall, we found that current medical students should have both the medical skills and the ability to work within the local sociocultural context. The ability to early detect diseases and disaster mitigation is also needed. The findings suggest doctors have adequate health program management capabilities to provide recommendations in the formulation of local health policies. Therefore, educational institutions must develop sustainable strategic human resources according to regional characteristics for health across Indonesia. Keywords Keywords: health disparities, public health competence, rural doctor, Indonesia
FHIR-DHP: A Standardized Clinical Data Harmonisation Pipeline for scalable AI application deployment
Authors: Williams Elena , Kienast Manuel , Medawar Evelyn , Reinelt Janis , Merola Alberto , Klopfenstein Sophie Anne Ines , Flint Anne Rike , Heeren Patrick , Poncette Akira-Sebastian , Balzer Felix , Beimes Julian , von Bünau Paul , Chromik Jonas , Arnrich Bert , Scherf Nico , Niehaus Sebastian 
Published: December 2022

Abstract
Purpose: Increasing digitalisation in the medical domain gives rise to large amounts of healthcare data which has the potential to expand clinical knowledge and transform patient care if leveraged through artificial intelligence (AI). Yet, big data and AI oftentimes cannot unlock their full potential at scale, owing to non-standardised data formats, lack of technical and semantic data interoperability, and limited cooperation between stakeholders in the healthcare system. Despite the existence of standardised data formats for the medical domain, such as Fast Healthcare Interoperability Resources (FHIR), their prevalence and usability for AI remains limited.
Methods: We developed a data harmonisation pipeline (DHP) for clinical data sets relying on the common FHIR data standard. We validated the performance and usability of our FHIR-DHP with data from the MIMIC IV database including > 40,000 patients admitted to an intensive care unit.
Results: We present the FHIR-DHP workflow in respect of transformation of “raw” hospital records into a harmonised, AI-friendly data representation. The pipeline consists of five key preprocessing steps: querying of data from hospital database, FHIR mapping, syntactic validation, transfer of harmonised data into the patient-model database and export of data in an AI-friendly format for further medical applications. A detailed example of FHIR-DHP execution was presented for clinical diagnoses records.
Conclusion: Our approach enables scalable and needs-driven data modelling of large and heterogenous clinical data sets. The FHIR-DHP is a pivotal step towards increasing cooperation, interoperability and quality of patient care in the clinical routine and for medical research.
Impact of COVID-19 on primary care: Addressing health concerns and patient experience of virtual care
Authors: Aghajafari Fariba , Abboud Rida , Claussen Caroline , Santana Maria 
Published: December 2022

Abstract
Background: During the height of the pandemic, primary care clinics were shuttered or only seeing urgent cases. Virtual consultations were adopted to ensure patients had their health concerns met. This study sought to explore the primary care experiences of older adult patients during the COVID-19 pandemic, specifically the impact of COVID-19 on the ability of older patients’ ability to have their non-COVID-19 health needs addressed, and older patients’ specific experiences with virtual care.
Methods: Qualitative interviews were conducted over Zoom or telephone and followed an investigator-designed semi-structured interview guide. Interviews were recorded and transcribed verbatim. Thematic analysis was used to make sense of and interpret the data.
Results: Twenty-nine participants (average age 68 years) participated in the study. Participants indicated that they were able to have their health needs addressed despite COVID-19 impacted how primary care was delivered. Impacts included physicians being more rushed, not taking time with new medical concerns in some cases and creating a sense of fear and doom with the strict protocols in place to mitigate the spread of COVID-19. Virtual care was generally well-received by participants, with some exceptions. Advanced age and difficulties with hearing were two of the main reasons for poor experiences with virtual care.
Conclusions: Overall, patients in this Study were able to have their health needs addressed. Tailoring virtual care to either phone or videoconferencing for those who have cognitive or sensory impairments, language barriers, or poor connections (and who many need to see non-verbal cues or read lips) is important.
Adsorption of ammonia on ZrO x modified graphene nanoribbon: a first-principles investigation
Authors: Ayesh Ahmad I. , Al-Muraikhi Maitha D. 
Published: December 2022

Abstract
Ammonia (NH3) is a main environmental pollutant related to global warming, and reduction of its emission is the subject of multiple international agreements and regulations. Accordingly, the development of highly precise detectors to monitor its content in the environment is essential to track and limit its emission. This work examines the influence of modifying of armchair-graphene nanoribbon (AGNR) by zirconium (Zr) and its oxides on its adsorption for NH3 gas. Density functional theory (DFT) computations are utilized to investigate the band structure, adsorption energy (𝐸𝑑), adsorption length (𝐷), charge transferred (Δ𝑄), and density of states (DOS) of pristine and modified structures with ZrOx (𝑥=0,1,𝑜𝑟 2). ZrOx is presented to AGNR nanostructure by two pathways: substitution of carbon atoms (doping), and introduction on top of the AGNR surface (decoration). The findings of the investigation illustrate great improvement of NH3 adsorption on AGNR due to its modification. Although the adsorption energy is enhanced in general upon modification, AGNR structures where ZrOx substitute carbon atoms exhibit greater adsorption energy as compared with the decoration scheme. The maximum energy of adsorption is for the AGNR structure doped with ZrO2, followed by that doped with Zr. As compared to the pristine structure, the adsorption energy for NH3 on AGNR doped with ZrO2 increases 22.2 times. Therefore, AGNR nanostructure doped with ZrOx can be considered for practical sensors for the applications of detection and control of ammonia emission.
How the biomechanical measures can incorporate climate change adaptation into disaster risk reduction and ecosystem sustainability
Authors: Chelan Bagher Shirmohammadi , Malekian Arash , Varamesh Saeid , Abdolahi Javad , Shahbazikia Saeed , Mohsenzadeh Mohammad 
Published: December 2022

Abstract
Climate change as an eminent driver of global environmental changes has adversely affected the various dimensions of human life, natural resources, and in particular the flow regimes over the last couple of decades. This study explored the pathways to obtain ecosystem stability and regulate natural processes through incorporating climate change adaptation measures into disaster risk reduction. Accordingly, the hydrological behavior of almost two adjacent similar basins (paired catchments) was assessed in terms of implemented biomechanical measures that served as climate adaptation strategies. The available water stage time series recorded by OTT devices were applied to evaluate the effectiveness of the adaptation measures. Results revealed that the constructed check dams along with the intensified vegetation cover majorly regulated the process of surface runoff generation and its transportation to downstream. The peak flow of 53 and 31 cm were shown across the Control and Treatment catchments, without and with the conservation measures, respectively. The difference in peak flow implies the high contribution of the Control catchment (approximately 41.5%) in surface runoff provision service and flood in particular. Also, the time to peak in the Treatment catchment was 3 times higher than the Control catchment where they touched their own peak 35 and 50 minutes after the rain started, respectively. The findings suggest that biomechanical measures successfully regulated the surface runoff generation which in turn increased the stability of soil to erosion. Therefore, the constructed measures would be strongly recommended as climate mitigation strategies to achieve regional low-impact development as well as environmental sustainability.
Multi-step-ahead and interval carbon price forecasting using transformer-based hybrid model
Authors: Yue Wang , Zhong Wang , Xiaoyi Wang , Xinyu Kang 
Published: December 2022

Abstract
Accurate and stable carbon price forecasts provide a reference for the stability of the carbon market and significantly improve investment and operational decisions. However, due to the non-linear and non-stationarity characteristics of carbon price series and its complex fluctuation features, realizing this goal is still a significant challenge, and researchers usually ignore multi-step and interval forecasting. To accurately predict the carbon price, a novel hybrid multi-step and interval carbon price forecasting model is proposed in this study, based on Hampel identifier(HI), time-varying filtering-based empirical mode decomposition (TVFEMD), and Transformer. Firstly, HI identifies and corrects outliers in carbon price. Then, carbon price is decomposed by TVFEMD into several intrinsic mode functions(imfs) to reduce the non-linear and non-stationarity of carbon price, to obtain more regular features in series, and these imfs are reconstructed by sample entropy(SE). Subsequently, the Orthogonal Array Tuning Method(OATM) is used to optimize the Transformer's hyperparameters to obtain the optimal model structure. Finally, The Transformer after hyperparameter optimization and quantile loss function is used to perform multi-step and interval forecasting on each part of the reconstruction, and the final prediction result is obtained by summing them up. Five pilot carbon trading markets in China were selected as experimental objects to verify the proposed model's prediction performance, and a variety of benchmark models and evaluation indicators were selected for comparison and analysis. The experimental results show that the proposed hybrid model is superior to the benchmark model in most aspects, and the interval forecast can well describe the uncertainty of carbon price fluctuations. Therefore, the proposed hybrid model is a reliable carbon price forecasting tool that can provide a reliable reference for policymakers and investors.
Acetylcholinesterase (AchE) receptor-based In-Silico drug discovery for Alzheimer’s Disease
Authors: Sahoo Rajesh Kumar 
Published: December 2022

Abstract
In Alzheimer’s disease acetylcholine esterase is a lead enzyme for increasing the patient health. The current most effective drug was donepezil in this paper the donepezil core which is not participating in receptor-ligand binding was substituted with another core and the library was prepared. Computer-aided drug design (CADD), especially in the field of structure-based plays a significant role in the design and optimization of drug-like molecules, in CADD virtual screening, remains at the top, the virtual screening is used to screen the library generated against the receptor. Molecular docking analysis was used for the analysis of the analyzing the ligand and receptor docking. The docked compounds were then further analyzed to check their drug-likeness properties and the parameters like receptor-ligand binding energy and their modes of interaction distance from the active site of the receptor were done further synthetic and biological assays can be performed for details analysis of drug activity and study of the pharmacokinetics and pharmacodynamic properties of the drug.
Celecoxib decreases traumatic osteitis by decreasing BMP-4 and inflammatory factors
Authors: Liu Mingzhong , Zeng Rongdong , Shi Jianhui , Xie Junjie 
Published: December 2022

Abstract
Background
Bone morphogenetic protein-4 (BMP-4) is one of the important molecules regulating the formation and differentiation of bone tissue. It is the main active medium to induce ectopic ossification, and is mainly involved in bone growth, development and repair of wounds.
Methods
To investigate the expression and significance of BMP-4 in rat model of traumatic myositis ossificans (TMO), 60 SD rats aged 4–6 weeks were randomly divided into control group, model group and celecoxib group, and TMO model was established at the right Achilles tendon. Each rat in the celecoxib group was intragastrically administered with 10 mg of celecoxib per kilogram per day. Each rat in the other group was intragastrically administered with 2 mL of physiological saline per day. At the 5th week and the 10th week after operation, 30 rats were killed. X-ray film was used to examine the formation of new bone, and skin temperature of the affected side was measured before execution. BMP-4 protein and mRNA level, and IL-2 mRNA level in the Achilles tendon tissues were detected by western blotting and RT-qPCR. Before execution, 2 mL of venous blood was taken from rats, and the level of IL-2, IL-6 and TNF-a in serum was detected by ELISA.
Results
The results showed that compared with the model group, in the celecoxib group, the swelling of the affected side was significantly alleviated, the overall formation rate was slower, the osteogenesis time was later, the ossification degree was lighter, the BMP-4 mRNA and protein levels in the Achilles tendon tissues of the affected side were significantly lower, and the IL-2, IL-6 and TNF-a content in the blood and the mRNA of IL-2 in the tissues were significantly lower.
Conclusions
In conclusion, celecoxib can effectively alleviate the occurrence of TMO after Achilles tendon surgery in rats by inhibiting BMP-4 and inflammatory factors expression.
Evaluating effectiveness of a 4-Stage Experimental Training Program combined CBL with ISO 15189 technical requirements in clinical biochemistry teaching
Authors: Xu Guoying , Zhao Chuanxiang , Yan Mengdan , Zhang Xiaoxian , Zhu Ling , Liu Jiaxiu , Zhao Yaping , Zhang Yuling , Cai Weili , Xie Hongxiang , Jiang Yuzhang , Shao Qixiang 
Published: December 2022

Abstract
Background: ISO 15189:2012 is widely recommended for clinical laboratories. However, it has not been paid enough attention in medical laboratory education and experiments in clinical biochemistry courses.
Methods/Approach: The teaching program of clinical biochemistry aims to improve students’ awareness and ability of quality management according to ISO 15189 technical requirements. It is a 4-stage experimental training program to teaching skills: "establish an overall testing process based on the patient's clinical indicator, clarifying principles, improve operational skills, review process and continuous improvement". The program was implemented in our college during the winter semesters of 2019 and 2020. 185 students participate in the program as an experimental group, other 172 students as control group adopt the conventional method. Participants completed an online survey after each class to evaluate the class.
Results/Outcomes: The test group had significantly better examination scores not only in experimental operational skills (89.27±7.16 vs. 77.51±4.72, p<0.05 in 2019 grade, 90.31±5.35 vs. 72.87±8.41 in 2020 grade) but also total examination 83.47±6.16 vs. 68.90±5.86 in 2019 grade, 82.42±5.72 vs. 69.55±7.54 in 2020 grade) than the control group. Questionnaire results survey revealed that the test group achieved the classroom goals better and had more positive impact on learning than traditional methods (all p<0.05).
Conclusions: A 4-stage experimental training program based on ISO 15189 technical requirements combined with CBL in clinical biochemistry is an effective and acceptable teaching strategy for the conventional training program.
Torrefied mustard straw as a potential solid biofuel: A study with physicochemical characterization, thermogrevimetric and emission analysis
Authors: Gajera Bhautik , Datta Arghya , Gakkhar Nikhil , Sarma Anil Kumar 
Published: December 2022

Abstract
Torrefaction enhances the properties of biomass fuels which adds to their suitability as energy sources. Due to abundance availbiluty of mustard straw in the northern region of India and throughout the globe, the raw or torrefied mustard straw were investigated in the present study. The torrefaction experiments were conducted on mustard straw using heating temperatures of 200°C, 250°C, and 300°C for 60 minutes. The biomass characterization were carried out using proximate analysis, ultimate analysis, and High Heating Values (HHV). Afterward, NOx, SO2, CO2, CO, and dust emissions are evaluated from the combustion of raw/torrefied mustard straw. After the experimentation, the results have been compared with the literature. It was observed that during torrefaction, the carbon content of biomass increases with the increase in temperature, while the hydrogen and oxygen contents decreased. Further, the liginin content increases while hemicellulose content decomposes with the increase in temperature. It was seen that energy yield for a torrefied mustard straw at 200°C, 250°C, and 300°C was 76.24%, 88.98%, and 94.75%, respectively. The process of torrefaction, increases the bulk density, decreased the mass yields and improves the ignitability indices of the mustard straw. The outcomes of this research are expected to provide practical insight into how raw mustard straw can be upgraded into densified solid biofuels suitable for industrial and thermal power plant applications.