bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparing Allied Health Students for the Nuances of Collaborative Practice
Authors: Paton Isabel , Patton Narelle , Croker Anne 
Published: September 2023

Abstract
The importance of preparing allied health students for collaboration is widely acknowledged. As a social phenomenon, the practice of healthcare collaboration is inherently situated, including in relation to particular subjective understandings, locations and circumstances. To focus on collaboration as a situated allied health practice this research used the term collaborative practice. The aim of this research was to develop a rich understanding of the nature of allied health collaborative practice, to inform preparation of pre-registration allied health students. Allied health professions have their own philosophies, values and contributions and are part of non-hierarchical networks, that contrast the intra-professional hierarchical complexities often found in medicine and nursing. Thus, there is significant value in explicitly exploring this unique grouping of health professionals.
Informed by philosophical hermeneutics, this research involved two interpretive studies. One study was drawn from literature and the other was based on 24 participants’ experiences from five allied health professions, accessed through semi-structured interviews and focus groups. This research revealed key shapers of allied health collaborative practice. These shapers act in dynamic and unequal ways within and across contextual, social and individual domains: in-situ standards and physical environments (contextual); interpersonal transactions and reciprocal exchanges (social); individual contributions and engagement activities (individual). When underpinned with practice theory these shapers provide a rich source of reflection for educators preparing allied health students for the nuances of collaborative practice. Educators are invited to reflect on how to: enable visibility of shapers; engage with their dynamic interplay and navigate tensions arising from such interplays.
Divergent bacterial landscapes: Unraveling geographically driven dual microbiomes in Atlantic cod (Gadus morhua) from the southern Gulf of St. Lawrence
Authors: Fronton Fanny , Villemur Richard , Robert Dominique , St-Pierre Yves 
Published: September 2023

Abstract
Background
Establishing microbiome signatures is now recognized as a critical step toward identifying genetic and environmental factors shaping animal-associated microbiomes and informing the health status of a given host. In the present work, we prospectively collected blood samples of the Atlantic cod population of the Southern Gulf of Saint Lawrence (GSL) and characterized their 16S rRNA circulating microbiome signature.
Results
Our results revealed that the blood microbiome signature was dominated at the phylum level by Proteobacteria, Bacteroidetes, Acidobacteria and Actinobacteria, a typical signature for fish populations inhabiting the GSL and other marine ecosystems. At the genus level, however, we identified two distinct cod groups. While the microbiome signature of the first group was dominated by Pseudoalteromonas, a genus we previously found in the microbiome signature of Greenland and Atlantic halibut populations of the GSL, the second group had a microbiome signature dominated by Nitrobacter and Sediminibacterium. Cods harboring a Nitrobacter/Sediminibacterium-rich microbiome signature were localized in the most southern part of the GSL, just along the northern coast of Cape Breton Island. Atlantic cod microbiome signatures did not correlate with the weight, length, relative condition, depth, temperature, sex, and salinity, as previously observed in the halibut populations.
Conclusions
Our study provides, for the first time, a unique snapshot of the circulating microbiome signature of Atlantic cod populations and the existence of dysbiotic signatures associated with the geographical distribution of the population, probably linked with the presence of nitrite in the environment.
Hygiene and Sanitation Monitoring of Refillable Drinking Water Depots in Jembrana District, Indonesia
Authors: Adnyana I Made Dwi Mertha , Utomo Budi , Dewanti Linda , Sulistiawati  , Eljatin Dwinka Syafira , Setyawan Muhamad Frendy , Sudaryati Ni Luh Gede , Darmawan Kadek 
Published: September 2023

Abstract
Refillable drinking water has become an option to meet the hydration needs of the community, especially in Jembrana District, Bali. However, comprehensive monitoring of hygiene and sanitation has yet to be reported. This study aims to identify, evaluate, and describe the quality of hygiene and sanitation at the refillable drinking water depot in Jembrana District. The mixed-methods research design was used to monitor the hygiene and sanitation of 46 DAMIU in Jembrana District. Environmental inspections are conducted in the field, and water samples are taken for bacteriological analysis. All results are presented descriptively. The results showed that 82.60% had met the requirements to be free from coliform contamination, and 86.96% had met the requirements to be free of E. coli in the resulting refill water. A total of 17.40% coliformswere contaminated, and 13.04% E. coli were contaminated. Overall, improved monitoring of the hygienic characteristics of handlers, sanitary characteristics, and completeness of equipment should be applied, especially in replacing microfilter tubes, disinfecting equipment in the service life, and using tiered microfilters. A letter of guarantee for raw water management and water supply must be available. Hence, the hygiene and sanitation of refillable drinking water in Jembrana must be monitored according to established standards.
Outcomes of Scleral Buckling Surgery in Rhegmatogenous Retinal Detachment: An Iranian Experience
Authors: Karimi Saeed , Azar Sahar Mahmoudi Nejad , Ansari Iman , Nikkhah Homayoun , Esmailzadeh Zahra , Nouri Hosein , Abtahi Seyed-Hossein 
Published: September 2023

Abstract
Purpose: To evaluate the anatomical and visual outcomes of SB surgery in patients with rhegmatogenous retinal detachment (RRD) and investigate the impact of pre- and intraoperative factors on final surgical and functional success rates
Methods: In this retrospective study, medical records from all patients with RRD for whom SB surgery was performed between March 2015 and October 2019 in Torfe Eye Hospital in Tehran, Iran, were included.
Results: A total of 80 patients (54 males and 27 females) with a mean (±SD) age of 45 (±15; ranging from 19 to 80) underwent SB surgery. Primary and final retinal reattachment rates were 73.3% and 91.3%, respectively. The mean (±SD) pre- and postoperative best-corrected visual acuities were 1.04 (±0.8) and 0.73 (±0.58) LogMAR, respectively (P-value<0.001). Eyes with inferior RRDs had less favorable success rates than those with non-inferior RRDs (80.0% vs. 93.8%, respectively, p=0.003). The preoperative macula situation status (i.e., off vs. on) was another factor of influence on the surgical success rate (86.1% and 95.4% in macula-off and -on groups, respectively, p=0.023)
Conclusion: SB is an effective treatment option for rhegmatogenous retinal detachment. Our results clearly showed that the prognosis of patients with an intact macula is better than the others.
Facilitating In-House Mobile App Development Within Psychiatric Outpatient Services for Patients Diagnosed With Borderline Personality Disorder: Rapid Application Development Approach
Authors: Shaker Ali Abbas , Austin Stephen F , Jørgensen Mie Sedoc , Sørensen John Aasted , Bechmann Henrik , Kinnerup Henriette E , Petersen Charlotte Juul , Olsen Ragnar Klein , Simonsen Erik 
Published: September 2023

Background
Mobile app development within mental health is often time- and resource-consuming, challenging the development of mobile apps for psychiatry. There is a continuum of software development methods ranging from linear (waterfall model) to continuous adaption (Scrum). Rapid application development (RAD) is a model that so far has not been applied to psychiatric settings and may have some advantages over other models.

Objective
This study aims to explore the utility of the RAD model in developing a mobile app for patients with borderline personality disorder (BPD) in a psychiatric outpatient setting.

Methods
The 4 phases of the RAD model: (1) requirements planning, (2) user design, (3) construction, and (4) cutover, were applied to develop a mobile app within psychiatric outpatient services for patients diagnosed with BPD.

Results
For the requirements planning phase, a short time frame was selected to minimize the time between product conceptualization and access within a clinical setting. Evidenced-based interactive content already developed was provided by current staff to enhance usability and trustworthiness. For the user design phase, activity with video themes and a discrete number of functions were used to improve the app functionality and graphical user interface. For the construction phase, close collaboration between clinicians, researchers, and software developers yielded a fully functional, in-house–developed app ready to be tested in clinical practice. For the cutover phase, the mobile app was tested successfully with a small number (n=5) of patients with a BPD.

Conclusions
The RAD model could be meaningfully applied in a psychiatric setting to develop an app for BPD within a relatively short time period from conceptualization to implementation in the clinic. Short time frames and identifying a limited number of stakeholders with relevant skills in-house facilitated the use of this model. Despite some limitations, RAD could be a useful model in the development of apps for clinical populations to enable development and access to evidence-based technology.
Association of TLR7 and MyD88 Gene Polymorphism with Trichomoniasis vaginalis Infection
Authors: Kermasha Zainab Waddah , Al-Masoudi Hayam Khalis , Al-Shaikh Suhaila Fadhil 
Published: September 2023

Objective: Toll-like receptor 7 (TLR7) and MyD88 represent important components of the innate immune response which play a crucial role in recognition of T. vaginalis. Single nucleotide polymorphisms (SNPs) in TLRs and MyD88 were manifested as key determinant affecting the susceptibility to trichomoniasis. This study aims to examine the impact of two SNPs, designated rs179008 and rs4988453 in TLR7 and MyD88, respectively, on Iraqi women infected with T. vaginalis.
Methods: Women vaginal swabs as well as blood samples were collected from 186 female patients diagnosed clinically by gynecologists. These pateints were admitting the gynecology clinics in three public hospitals in Babel governorate in Iraq. Clinical samples were obtained for molecular identification of the parasite, sequencing of the TLR7 and MyD88 genes as well as performing the corresponding immunological studies.
Results: The PCR assays showed 40 positive women (95% CI, 15.85 to 28.11) of T. vaginalis β-tubulin gene. Genetic studies of rs179008 SNP in TLR7 showed that the mutant T allele revealed significantly more prevalence in women infected with T. vaginalis in comparison with controls (p<0.001), furthermore, AT and TT genotypes distribution were significantly greater in patients than that in controls (p<0.01). Moreover, genetic analysis of rs4988453 SNP in MyD88 demonstrated that the mutant A allele almost has close frequency between patients and controls, and the heterozygous CA and homozygous AA genotypes were almost normally distributed between controls and patients. Finally, the concentrations of TLR7 and MyD88 were significantly elevated in the majority of women patients aged between 16-40 years.
Conclusion: The mutant allele A of rs4988453 SNP in MyD88 did not show an association with increased risk of trichomonas infection, however, the mutant allele T of rs179008 SNP in TLR7 might make women more sensitive for infection with T. vaginalis. However, more studies are needed to confirm these findings and to understand the underlying involved mechanisms.
Studi Kritis Pemikiran Iskandar Zulkarnain Tentang “Gerakan Ahmadiyah Di Indonesia” Perspektif Fenomenologi Edmund Husserl
Authors: Budiman Arman 
Published: September 2023

Mengkaji gerakan Ahmadiyah di Indonesia melalui karya Iskandar Zulkarnain menurut penulis perlu adanya tinjauan ulang terhadap tokoh (peneliti), apakah ia benar-benar mengulas sejarah tanpa adanya intervensi dari kalangan manapun.Hal ini sangat penting, sebab akan menentukan kebenaran sejarah dan pengungkapan apakah Ahmadiyah memiliki kontribusi dalam perkembangan pengkajian keilmuan Islam khususnya Indonesia. Metode yang digunakan dalam penelitian ini adalah penelitian (library research). Teknik pengumpulan data yang relevan dengan penelitian ini adalah studi dokumentasi, studi dokumentasi mengarah kepada berbagai macam literatur yang berhubungan dengan pemikiran atau konsep tokoh yang dikaji. Hasil dari penelitian ini, ternyata Iskandar Zulkarnain benar-benar menggunakan dua alat yang ditawarkan oleh Edmund Husserl, baik itu epoche dan eiditic, berhasil menanggalkan pengetahuan awalnya demi mendapatkan informasi yang valid dari jemaah Ahmadiyah, terbukti melalui riset Iskandar Zulkarnain, banyak fakta-fakta sejarah yang mendukung Ahmadiyah diminati oleh intelektual muslim tanah air. Melalui karya keislaman yang ditulis oleh tokoh asal Indonesia, dapat dilacak adanya indikasi bahwa ide karya mereka terinspirasi dari literatur milik tokoh Ahmadiyah, terutama dalam narasi perbandingan agama dan kristologi. Cukup dengan bukti ini, bahwa ide Ahmadiyah tervisualisasikan dalam banyak karya intelektual muslim asal Indonesia.
Exploring the online interaction model of college English based on deep learning network
Authors: Bao Shijun 
Published: September 2023

Abstract
In this paper, we apply a deep learning model to discriminate sentiment in an interactive model of online college English education and propose a fusion model that splices convolutional neural networks and bidirectional long- and short-term memory neural networks horizontally. Convolutional neural networks are good at capturing the sentiment feature vectors using multi-channel convolutional kernels but are unable to extract the sentiment information above and below the sentiment sequence. The short and long-term memory neural network is able to extract the sentiment feature vectors by using recurrent neural networks, which can better compensate for the shortcomings of the convolutional neural networks. The online teaching of college English is selected as the object of analysis, and the improved Flanders interaction analysis system is used to study the online interaction process of college English so as to propose suggestions for the interaction of online teaching of college English. Then the performance of the model is analyzed through simulation experiments. Compared with the traditional TextCNN and BiLSTM, the CNN −BiLSTMATT sentiment analysis model has an accuracy of 0.8611, precision of 0.8471, recall of 0.8691, and F1 of 0.8562, so the CNN − BiLSTMATT sentiment analysis model is more suitable for college English online interaction. This study overcomes the disadvantages of online interaction and continuously improves the efficiency of online teaching interaction.
Research on the quality control strategy of marine engineering based on big data technology
Authors: Yuan Jianping , Yu Huafeng , Sun Zhenzhou , Li Yan 
Published: September 2023

Abstract
The research of quality control strategy of marine engineering using big data technology is to better promote the enterprise to reduce cost and increase efficiency. In this paper, starting from the project quality control system, a quality control risk evaluation model is constructed based on hierarchical analysis and fuzzy comprehensive evaluation by means of the fuzzy comprehensive evaluation of affiliation degree. For the model constructed based on AHP-FCR in this paper, experimental analysis of quality control influencing factors and fuzzy comprehensive evaluation examples were conducted by establishing indicators. From the influence factors, the severity of engineering personnel risk and engineering machine risk are 19.289 and 20.216, respectively, both of which are significant levels of influence. From the fuzzy comprehensive evaluation, 49.09% of the experts voted that the level of quality control risk of S Company’s offshore engineering module oilfield construction project is now low and in an acceptable state. It can be concluded that the AHP-FCR model with big data technology can realize the quality control risk assessment of offshore engineering and also provides theoretical support for companies to solve the risk.
A study of interactive furnishing design in the context of digitalization with a view to functional requirements
Authors: Zhu Shuhua 
Published: September 2023

Abstract
Firstly, an optimization algorithm based on planar design constraints is proposed, which can automatically generate interior space furnishings. The main idea of the algorithm is to represent the room units in interior space furnishings with multiple rectangular combinations of polygons and to translate the constraints and rules in furnishing design into relevant rectangular constraints. In order to improve the applicability of the method, this study also proposes a hierarchical algorithm flow based on the above method. Then, the interactive toilet aid design and the new intelligent wheelchair design, and the intelligent and ecological interior furnishing design are used as examples to explore the practice of interactive furnishing design based on multi-functional needs, which meet the emotional, psychological, and physiological needs of users. Based on the data analysis of furnishing design by hierarchical algorithm, the results show that the average score of ordinary users in the comparison results with Humans is 13.37 the average score of designers is 11.72; the MIQP model can be used for interior space furnishing design of residential buildings and can be extended to apply to space furnishing of large-scale scenes, MIQP method is much higher than existing methods in terms of efficiency The MIQP method is much more efficient than existing methods. This study improves the quality and level of furnishing design and promotes innovation in the design industry.
Prediction of mechanical equipment fault diagnosis based on IPSO-GRU deep learning algorithm
Authors: Wang Peng , Tan Hangbo , Ji Chao 
Published: September 2023

Abstract
Exploring effective logistics machinery and equipment fault diagnosis and prediction technology to achieve efficient and stable operation of logistics machinery and equipment. In this paper, starting from the logistics machinery and equipment fault diagnosis technology, we optimize the hyperparameters of the recurrent gate unit neural network by using the improved second-order oscillatory particle swarm algorithm and then construct the IPSO-GRU logistics machinery and equipment fault prediction model. The IPSO-GRU model is used to test the prediction effect of the hydraulic lift table and logistics hoist by using the historical data of the hydraulic lift table as training data. The prediction accuracy of the IPSO-GRU model was improved by 6% compared with BP neural network. From the prediction results of the logistic hoist, only 6 out of 250 data samples failed to achieve accurate prediction. This shows that the IPSO-GRU model can effectively achieve the prediction of logistics machinery and equipment fault diagnosis and also provides a proven method for predictive maintenance of logistics equipment.
Challenges and content structure optimization of ideological and political education in universities based on structural equations
Authors: Li Jie 
Published: September 2023

Abstract
Big data is a double-edged sword, which brings opportunities and also risks and challenges to the innovation of ideological and political education in colleges and universities, which has led some people to question and deny the integration of big data innovation in ideological and political education in colleges and universities. This paper takes the influence of college ideological and political education environment on education effect as the research object, analyzes the characteristics of college ideological and political education environment, and summarizes the “advantages”, “disadvantages,” and “opportunities” of college ideologic and politic education environment, The research team analyzed the characteristics of the ideologic and politic education environment in colleges and universities and summarized the “advantages”, “disadvantages”, “opportunities” and “challenges”. Then factor analysis was applied to classify the factors influencing the ideological and political education environment of colleges and universities and establish hypotheses. The structural equation modeling method was used to analyze the relationship between the factors influencing the ideological and political education environment in colleges and universities and the relationship between the factors influencing the education environment. The results show that 44.63% of the respondents think there is influence, 27.97% think there is greater influence, and 23.82% think there is an important influence. Therefore, it can be concluded that the severe employment environment has a significant influence on the effect of ideological and political education. This study enhances ideological and political education by integrating big data innovation, which is important for the development of ideological and political education in colleges and universities.
Exploration of the system of evaluation system of university teachers’ titles based on blockchain technology
Authors: Wang Jingke 
Published: September 2023

Abstract
The purpose of this thesis is to combine blockchain technology with teacher title evaluation, and design a blockchain-based teacher title evaluation system using the characteristics of blockchain and IPFS, and other technologies. The system adopts a three-layer architecture consisting of a data storage layer, an application business layer, and a user presentation layer. Among them, the data storage layer builds a distributed network through Ethernet blockchain nodes. At the same time, each node is also an IPFS network node, responsible for uploading teacher certification materials to the IPFS network through the file encryption module in the application business layer and generating IPFS abstracts, which can be subsequently uploaded to the chain only, i.e., ensuring the privacy of file materials and reducing the overhead of storing data. To verify the effect of the title review system, the analysis was conducted in terms of role perceptions, covering teachers’ perceptions of the fairness and motivation of the title review system. In terms of fairness of the review criteria, 60.83% of teachers think it is fair, and 25.83% think it is unfair. 65.83% of teachers say that the career review is helpful for career development, and only less than 10% think it is not helpful for career development. It shows that this teacher title evaluation platform is efficient, intelligent, secure, and trustworthy.