bluuebunny/crossref_metadata_2025_split huggingface dataset:
Co-designing new tools for collecting, analysing and presenting patient experience data in NHS services: working in partnership with patients and carers
Authors: Small Nicola , Ong Bie Nio , Lewis Annmarie , Allen Dawn , Bagshaw Nigel , Nahar Papreen , Sanders Caroline ,   the DEPEND team, Hodgson Damian , Dehghan Azad , Sharp Charlotte , Dixon Will , Lewis Shôn , Kontopantelis Evan , Daker-White Gavin , Bower Peter , Davies Linda , Kayesh Humayun , Spencer Rebecca , McAvoy Aneela , Boaden Ruth , Lovell Karina , Ainsworth John , Nowakowska Magdalena , Shepherd Andrew , Cahoon Patrick , Hopkins Richard , Nenadic Goran 
Published: November 2021

Abstract
Background
The way we collect and use patient experience data is vital to optimise the quality and safety of health services. Yet, some patients and carers do not give feedback because of the limited ways data is collected, analysed and presented. In this study, we worked together with researchers, staff, patient and carer participants, and patient and public involvement and engagement (PPIE) contributors, to co-design new tools for the collection and use of patient experience data in multiple health settings. This paper outlines how the range of PPIE and research activities enabled the co-design of new tools to collect patient experience data.

Methods
Eight public contributors represented a range of relevant patient and carer experiences in specialist services with varied levels of PPIE experience, and eleven members of Patient and Participation Groups (PPGs) from two general practices formed our PPIE group at the start of the study. Slide sets were used to trigger co-design discussions with staff, patient and carer research participants, and PPIE contributors. Feedback from PPIE contributors alongside verbatim quotes from staff, patient and carer research participants is presented in relation to the themes from the research data.

Results
PPIE insights from four themes: capturing experience data; adopting digital or non-digital tools; ensuring privacy and confidentiality; and co-design of a suite of new tools with guidance, informed joint decisions on the shaping of the tools and how these were implemented. Our PPIE contributors took different roles during co-design and testing of the new tools, which supported co-production of the study.

Conclusions
Our experiences of developing multiple components of PPIE work for this complex study demonstrates the importance of tailoring PPIE to suit different settings, and to maximise individual strengths and capacity. Our study shows the value of bringing diverse experiences together, putting patients and carers at the heart of improving NHS services, and a shared approach to managing involvement in co-design, with the effects shown through the research process, outcomes and the partnership. We reflect on how we worked together to create a supportive environment when unforeseen challenges emerged (such as, sudden bereavement).
Ear morphology and morphometry as potential forensic tools for identification of the Hausa, Igbo and Yoruba populations of Nigeria
Authors: Fakorede Samson Taiwo , Adekoya Khalid Olajide , Fasakin Taiwo Peter , Odufisan Joshua Odubambo , Oboh Bola 
Published: November 2021

Abstract
Background
The human external ear is unique in every individual in terms of shape, size and dimension making it suitable in forensic anthropology for sex estimation and personal identification purposes. The study aimed to evaluate sexual dimorphism and ethnic specificity of the external ear in major Nigerian ethnic populations.

Results
There was variation in the morphological features of the external ear of the sampled subjects. The external ear features vary in the right and left ears in both sexes of the ethnic groups. All variables were statistically significant (p < 0.05) except ear width. Univariate discriminant function gave sex prediction accuracies between 56.4 and 57.3% for left and right ears, respectively. Population-specific sex prediction accuracy using stepwise discriminant analysis of left ear variables ranged 58–69.7% and 57.5–74.2% for right ear.

Conclusion
The ear parameters showed potential for sex estimation, but cannot be solely relied upon for personal identification.
Influence of time of feeding on dam performance prepartum and postpartum and its impact on its kids
Authors: Adegbeye Moyosore Joseph , Omotoso Oluwatosin Bode , Fajemisin Adebowale Noah , Aro Samuel Olanrewaju , Obadare Damilola Deborah , Adunbi Michael Eyitope , Faniyi Tolulope Oreoluwa 
Published: November 2021

Abstract
Background
This study was conducted to evaluate the impact of time of feeding on the performance of WAD goats during pregnancy, and to assess how the time of feeding of the dam affect the growth of their kids’ postpartum. Twelve (12) pregnant does were used in the pre-partum and in the postpartum, the same 12 lactating does and their 12 kids (1 kid per doe) were used. The dams were randomly distributed into three treatments and were fed once daily either in the morning, noon, or evening at 0600 h, 12:00 h and 18:00 h respectively under the natural light–dark cycle.

Result
Serum creatinine in noon-fed does was higher (P = 0.005) than in morning and evening-fed does. In addition, low density lipoprotein in morning-fed gravid does was the high (P = 0.007) compared to noon-fed does while the evening-fed does had the lowest. During postpartum, morning and noon-fed dams consumed more feed (forage, concentrate, and total daily feed intake) than evening-fed dams (P ≤ 0.006). Kid weight of morning-fed does was numerically higher than noon-fed does, which was higher than kids of evening-fed does.

Conclusion
This study shows that time of feeding did not affect the performance of pregnant WAD goats. However, it has the potential to influence the serum parameters of pregnant animals. It also showed that time of feeding influences maternal feed intake postpartum and can influence the growth of the kids.
Cardiovascular risk assessment using ASCVD risk score in fibromyalgia: a single-centre, retrospective study using “traditional” case control methodology and “novel” machine learning
Authors: Surendran Sandeep , Mithun C. B. , Moni Merlin , Tiwari Arun , Pradeep Manu 
Published: November 2021

Abstract
Background
In autoimmune inflammatory rheumatological diseases, routine cardiovascular risk assessment is becoming more important. As an increased cardiovascular disease (CVD) risk is recognized in patients with fibromyalgia (FM), a combination of traditional CVD risk assessment tool with Machine Learning (ML) predictive model could help to identify non-traditional CVD risk factors.

Methods
This study was a retrospective case–control study conducted at a quaternary care center in India. Female patients diagnosed with FM as per 2016 modified American College of Rheumatology 2010/2011 diagnostic criteria were enrolled; healthy age and gender-matched controls were obtained from Non-communicable disease Initiatives and Research at AMrita (NIRAM) study database. Firstly, FM cases and healthy controls were age-stratified into three categories of 18–39 years, 40–59 years, and ≥ 60 years. A 10 year and lifetime CVD risk was calculated in both cases and controls using the ASCVD calculator. Pearson chi-square test and Fisher's exact were used to compare the ASCVD risk scores of FM patients and controls across the age categories. Secondly, ML predictive models of CVD risk in FM patients were developed. A random forest algorithm was used to develop the predictive models with ASCVD 10 years and lifetime risk as target measures. Model predictive accuracy of the ML models was assessed by accuracy, f1-score, and Area Under 'receiver operating Curve' (AUC). From the final predictive models, we assessed risk factors that had the highest weightage for CVD risk in FM.

Results
A total of 139 FM cases and 1820 controls were enrolled in the study. FM patients in the age group 40–59 years had increased lifetime CVD risk compared to the control group (OR = 1.56, p = 0.043). However, CVD risk was not associated with FM disease severity and disease duration as per the conventional statistical analysis. ML model for 10-year ASCVD risk had an accuracy of 95% with an f1-score of 0.67 and AUC of 0.825. ML model for the lifetime ASCVD risk had an accuracy of 72% with an f1-score of 0.79 and AUC of 0.713. In addition to the traditional risk factors for CVD, FM disease severity parameters were important contributors in the ML predictive models.

Conclusion
FM patients of the 40–59 years age group had increased lifetime CVD risk in our study. Although FM disease severity was not associated with high CVD risk as per the conventional statistical analysis of the data, it was among the highest contributor to ML predictive model for CVD risk in FM patients. This also highlights that ML can potentially help to bridge the gap of non-linear risk factor identification.
Contextualizing communities in an instructional improvement initiative: exploring STEM faculty engagement in teaching-related conversations
Authors: Aster Ellen Marie , Bouwma-Gearhart Jana , Fisher Kathleen Quardokus 
Published: November 2021

AbstractA frequently cited strategy for fostering science, technology, engineering, and mathematics (STEM) instructional improvements is creating communities where faculty can share and learn evidence-based teaching practices. Despite research-documented benefits, little is known about why (and with whom) faculty engage in teaching-related conversations, including those fostered by initiative communities. We explored how STEM faculty engage in teaching-related conversations, via analysis of faculty interviews and discussion networks, to identify factors potentially influencing teaching-related conversations over the life of an initiative. Our results suggest aspects that might inhibit STEM faculty from engaging in teaching-related conversations, including: 1) faculty members’ autonomy with teaching practices; 2) faculty members’ varied interests in teaching improvements; 3) varied degrees of support to engage in teaching-related conversations; and 4) a lack of inclusive and non-judgmental spaces to talk about teaching. We suggest that those fostering STEM faculty communities consider working with others across the institution to map the instructional improvement opportunities faculty may already take part in and attend to areas lacking support. Initiative leaders and designers should also elicit and build off faculty members’ teaching-related knowledge and concerns. We further suggest making conversational spaces inclusive and safe, to help faculty honestly share teaching-related challenges and insights. We recommend creating and fostering spaces that bring faculty together across department boundaries. Our study echoes prior research by drawing attention to administrative support for instructional improvement initiatives, which can foster and sustain opportunities for faculty to talk about teaching and learn instructional improvements.
Chaenomeles speciosa fruit endophytic fungi isolation and characterization of their antimicrobial activity and the secondary metabolites composition
Authors: Lykholat Yurii V. , Khromykh Nina O. , Didur Oleh O. , Drehval Oksana A. , Sklyar Tetyana V. , Anishchenko Andrii O. 
Published: November 2021

Abstract
Background
Endophytes promote the survival of the host plants affected by unfavorable environment. To confirm the endophytes role in Chaenomeles speciosa pathogenic resistance, fungal isolates were derived from both fruit peel and pulp, and presumptively identified using macroscopic and microscopic techniques. Antifungal potential of the isolates was assayed by dual culture method and agar disc method against Alternaria alternata, Fusarium culmorum, and Fusarium oxysporum strains. Two most active fungal isolates were cultured in Czapek's liquid medium to obtain metabolites. The crude ethyl acetate extracts of metabolites were characterized for antibacterial activity against Basillus subtilis and Erwinia dissolvens, and for component composition by GC–MS technique.

Results
Nine fungal endophytic isolates were derived from the peel and pulp of C. speciosa fruits and tentatively attributed to Penicillium spp. (seven isolates), Aspergillus spp. (one isolate), Mucor spp. (one isolate). Two fungal isolates, one each of the fruit peel and pulp, were designated as Penicillium sp. I and Penicillium sp. II respectively, and selected for further research. Both isolates showed similar activity against A. alternata; however, Penicillium sp. I activity against F. culmorum and F. oxysporum exceeded the activity of Penicillium sp. II. Cultural medium ethyl acetate extracts of both endophytes exhibited higher antibacterial activity against Gram-positive B. subtilis, while mycelium extracts were more active against Gram-negative E. dissolvens. In general, Penicillium sp. I antibacterial activity was higher in cultural medium extracts, while activity of Penicillium sp. II dominated in mycelium extracts. GC–MS analysis of the fungal metabolites component composition revealed the identity of 27 and 17 compounds, respectively in the ethyl acetate extracts of Penicillium sp. I and Penicillium sp. II cultural medium. Basic compounds produced by the first isolate, were represented by 3-Furanacetic acid, 4-hexyl-2,5-dihydro-2,5-dioxo, Diisooctyl phthalate, 11-Hexadecyn-1-ol, and Propanedioic acid, dihydroxy. At the same time, Phthalic acid diisooctyl ester and other phthalates constituted the main part of the second isolate metabolites, followed by Hexadecanoic acid, Eicosyl isopropyl ether, and 4-Butoxy-2-butanone at a lower content.

Conclusions
The findings showed that the antimicrobial potential of Chaenomeles fruits endophytic fungi is promising and deserves further investigation.
Strategic management accounting and performance implications: a literature review and research agenda
Authors: Ojra Jafar , Opute Abdullah Promise , Alsolmi Mohammad Mobarak 
Published: November 2021

AbstractThe important role that management accounting plays in driving organisational performance has been reiterated in the literature. In line with that importance, the call for more effort to enhance knowledge on strategic management accounting has increased over the years. Responding to that call, this study utilised a qualitative approach that involved a systematic review to synthesise existing literature towards understanding the strategic management accounting foundation, contingency factors, and organisational performance impact. Based on the evidence in reviewed literature, we flag key directions for advancing this theoretical premise towards providing further insights that would enable practitioners strategically align their strategic management accounting practices for optimal organisational performance. The limitations of this study have been acknowledged.
Optimization of osteoporosis and osteopenia management among renal transplant recipients
Authors: Afifi Mohammed K. , Kenawy Ahmed S. , El Demellawy Heba H. , Azouz Amany A. , Al-Otaibi Torki , Gheith Osama , ElMonem Mohamed Abd , AbdElhalim Mohamed S. , Hussein Raghda R. S. 
Published: November 2021

Abstract
Background
Osteoporosis and osteopenia occur frequently in renal transplant recipients due to long-term use of immune-suppressants including corticosteroids. Previous treatment options like bisphosphonates had acceptable but rather unsatisfactory results after transplant. The aim of the current study is to directly compare the efficacy of denosumab and oral ibandronate in late RTR with low bone mineral density.

Results
The study was conducted Iin Hamed Al-Essa Kidney transplant center, Kuwait, in 2020. The data of 52 denosumab and 48 ibandronate patients were collected at the baseline and after one year of treatment. Spine and hip T-score readings, side effects, and other laboratory results were analyzed to evaluate the use of both medications. The mean number of months after transplant was 25 (± 13.9) months. After one year of treatment, denosumab alleviated both spinal osteoporosis and osteopenia T-score values from −3.13 to −2.4 (p = 0.008) and from −1.9 to −1.5 (p = 0.015), respectively. Besides, it reduced hip osteoporosis and osteopenia insignificantly from −3.45 to −3.1 and from −1.5 to −1.3, respectively (p > 0.05). Ibandronate improved spinal osteopenia from −1.6 to −1.55 (p = 0.97) and failed to show any positive impact on other sites; the spinal osteoporosis changed from −2.8 to −3 and hip osteoporosis and osteopenia changed from −3.1 to −3.12 and from −1.4 to −1.45, respectively (p > 0.05). The use of ibandronate was more associated with gastrointestinal tract (GIT) side effects, while hypocalcemia episodes were significantly higher in the denosumab group.

Conclusion
Denosumab improved both spinal and hip T-score values in comparison with ibandronate in RTR. Close monitoring is required for denosumab patients to prevent the associated hypocalcemia.

Graphical Abstract
Hemorrhagic ascites endometriosis could be a cause: a case report
Authors: Abdelkader Nadia Abdelaaty , Sherief Ahmed F. , Soliman Enass Mohamed , Elsamman Mahmoud , Fayed Salah T. , Sakr Mohamed A. 
Published: November 2021

Abstract
Background
Endometriosis is a condition in which tissue similar to the lining inside the uterus (called “the endometrium”) is found outside the uterus, where it induces a chronic inflammatory reaction that may result in scar tissue.
Endometriosis with massive ascites causing abdominal distension and other symptoms simulating malignancy has been described in the literature.

Case presentation
A case of a 27-year-old woman who presented to the Ascites Study Group Tropical Medicine department Ain Shams University in collaboration with the Egyption Club of Ascites (ECA) with increased central abdominal contour, shifting dullness, and hemorrhagic transudate hypocellular ascites with no malignant cells and bilateral ovarian cysts.
A long stepwise approach was conducted to the patient, and after exclusion of other causes of hemorrhagic ascites, the patient was prepared for laparoscopy.
The diagnosis of endometriosis was made.
The patient was discharged on goserelin acetate subcutaneous injection every 28 days with good response, and she regularly follows up with our study group on scheduled visits monthly according to her clinical status.

Conclusions
Endometriosis could be a possible cause of massive hemorrhagic obscured ascites.
The unexplained infertility should increase the probability of the endometriosis.
Dynamic guardianship of potato landraces by Andean communities and the genebank of the International Potato Center
Authors: Lüttringhaus Sophia , Pradel Willy , Suarez Víctor , Manrique-Carpintero Norma C. , Anglin Noelle L. , Ellis David , Hareau Guy , Jamora Nelissa , Smale Melinda , Gómez Rene 
Published: November 2021

Abstract
Background
Potato landraces (Solanum spp.) are not only crucial for food security and sustenance in Andean communities but are also deeply rooted in the local culture. The crop originated in the Andes, and while a great diversity of potato persists, some landraces have been lost. Local communities and the genebank of the International Potato Center (CIP) partnered to re-establish some of these landraces in situ by supplying clean seed potatoes to farmers. Over time, the genebank formalized a repatriation program of potato landraces. Repatriation is the process of returning native germplasm back to its place of origin, allowing a dynamic exchange between ex situ and in situ conditions. So far, no comprehensive description of CIP’s repatriation program, the changes it induced, nor its benefits, has been carried out.

Methods
We addressed this research gap by analyzing CIP genebank distribution data for repatriated accessions, conducting structured interviews with experts of the repatriation program, and applying duration and benefit analyses to a survey dataset of 301 households.

Results
Between 1997 and 2020, 14,950 samples, representing 1519 accessions, were distributed to 135 communities in Peru. While most households (56%) abandoned the repatriated material by the fourth year after receiving it, the in situ survival probability of the remaining material stabilized between 36% in year 5 and 18% in year 15. Households where the plot manager was over 60 years old were more likely to grow the repatriated landraces for longer periods of times. While male plot management decreased survival times compared to female plot management, higher levels of education, labor force, wealth, food insecurity, and geographic location in the southern part of Peru were associated with greater survival times. Most farmers reported nutritional and cultural benefits as reasons for maintaining landrace material. Repatriated potatoes enabled farmers to conserve potato diversity, and hence, re-establish and broaden culinary diversity and traditions.

Conclusions
Our study is the first to apply an economic model to analyze the duration of in situ landrace cultivation by custodian farmers. We provide an evidence base that describes the vast scope of the program and its benefits.
Study on optimal conditions of flocculation in deinking wastewater treatment
Authors: Li Ming , Hu Kaitang , Wang Jin 
Published: November 2021

AbstractFlocculation is an important method to treat paper manufacturing wastewater. Coagulants and flocculants added to wastewater facilitate the aggregation and sedimentation of various particles in the wastewater and lead to the formation of floc networks which can be easily removed using physical methods. The goal of this paper is to determine the optimal hydraulic conditions using machine learning in order to enable efficient flocculation and improve performance during the treatment of deinking wastewater. Experiments using polymerized aluminum chloride as flocculant to treat deinking wastewater were carried out. Based on the orthogonal array test, 16 different combinations of hydraulic conditions were chosen to investigate the performance of flocculation, which was indicated by the turbidity of the solution after treatment. To develop a model representing the relationship between the hydraulic conditions and the performance of wastewater treatment, the machine learning methods, support vector regression and Gaussian process regression, were compared, whereby the support vector regression method was chosen. According to the fitness function derived from the support vector regression model, a genetic algorithm was applied to evaluate the optimal hydraulic conditions. Based on the optimal conditions determined by the genetic algorithm and real-life experience, a set of hydraulic conditions were implemented experimentally. After treatment under higher stirring speed at 120 rpm for 1 min and lower stirring speed at 20 rpm for 5 min at a temperature of 20 °C, the turbidity of deinking wastewater was measured as 1 NTU. The turbidity reduction was as high as 99.6%, which indicated good performance of the deinking wastewater treatment.