bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhanced glycerol assimilation and lipid production in Rhodotorula toruloides CBS14 upon addition of hemicellulose primarily correlates with early transcription of energy-metabolism related genes
Authors: Martín-Hernández Giselle C. , Chmielarz Mikołaj , Müller Bettina , Brandt Christian , Viehweger Adrian , Hölzer Martin , Passoth Volkmar 
Published: December 2022

Abstract
Background
Lipid formation from glycerol was previously found to be activated in Rhodotorula toruloides when the yeast was cultivated in a mixture of crude glycerol (CG) and hemicellulose hydrolysate (CGHH) compared to CG as the only carbon source. RNA samples from R. toruloides CBS14 cell cultures grown on either CG or CGHH were collected at different time points of cultivation, and a differential gene expression analysis was performed between cells grown at a similar physiological situation.
Results
We observed enhanced transcription of genes involved in oxidative phosphorylation and enzymes localized in mitochondria in CGHH compared to CG. Genes involved in protein turnover, including those encoding ribosomal proteins, translation elongation factors, and genes involved in building the proteasome also showed an enhanced transcription in CGHH compared to CG. At 10 h cultivation, another group of activated genes in CGHH was involved in β-oxidation, handling oxidative stress and degradation of xylose and aromatic compounds. Potential bypasses of the standard GUT1 and GUT2- glycerol assimilation pathway were also expressed and upregulated in CGHH 10 h. When the additional carbon sources from HH were completely consumed, at CGHH 36 h, their transcription decreased and NAD+-dependent glycerol-3-phosphate dehydrogenase was upregulated compared to CG 60 h, generating NADH instead of NADPH with glycerol catabolism. TPI1 was upregulated in CGHH compared to cells grown on CG in all physiological situations, potentially channeling the DHAP formed through glycerol catabolism into glycolysis. The highest number of upregulated genes encoding glycolytic enzymes was found after 36 h in CGHH, when all additional carbon sources were already consumed.
Conclusions
We suspect that the physiological reason for the activation of metabolism, which was the basis for the accelerated glycerol assimilation and faster lipid production, was primarily the activation of enzymes that provide energy.
Analyzing the Barriers Affecting the Adoption of Green Computing: A Hybrid Method Approach
Authors: Dalvi-Esfahani Mohammad , Nilashi Mehrbakhsh 
Published: December 2022

Abstract
While there is a plethora of research on the firms’ efforts toward environmental sustainability, it has been found that green computing has not been so prominent due to some burdens that are hindering their development and rapid deployment. Accordingly, upon identification of twelve barriers from the literature and clustering them into three groups of adoption costs, technological barriers, and internal barriers, the mutual influences and the importance level of barriers were investigated using the data collected from fifteen experts in the field. The Interpretive Structural Modeling (ISM) together with the Matrice d'Impacts Croises Multipication Applique´ an Classment (MICMAC) analyses methods were used to investigate the mutual influences amongst the barriers. The results of the ISM and MICMAC revealed that firm size and legal barriers are the most fundamental and independent ones which have the greatest impact on the system. Moreover, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to reveal the importance level of barriers and further depict cause and effect relationships among them. The DEMATEL results revealed that, from the perspective of the experts, adoption cost barriers are more important than the other dimensions (Ri+Ci = 32.888). Furthermore, transactional risk (Ri+Ci = 24.160), technological complexity (Ri+Ci = 12.647), and switching cost (Ri+Ci = 14.483) were identified as the most important barriers related to each dimension. This study's developed decision-making framework would assist managers and practitioners in comprehending the relationships between the barriers that have been identified and how they interact when trying to practice green computing initiatives.
Classification of Indian Classical Music (Hindustani Music) Genres through MFCCs Features using RNN-LSTM Model
Authors: Bisht Abhay Singh , Negi C M S , Singh Rajiv 
Published: December 2022

Abstract
Music has been considered an inseparable part of our culture and tradition. In this work, we created a dataset with six Hindustani music genres: Abhang, Bhajan, Thumri, Tappa, Ghazal, and Kajri, each of which contains 100 songs in wave(.wav) format. To classify the Hindustani music genres, we employ the mel frequency ceptral coefficients features, which contain timbral information, and the Recurrent Neural Network-Long Short Term Memory. Our best three models achieved an average accuracy of 86% when trained on various feature sets with MFCC values of 18, 26, and 39. Furthermore, we use uniform manifold approximation and projection to transform and visualise higher-dimensional feature set data into two-dimensional space. Based on the results, we can infer that Hindustani music has more intricate melodies than western music, and feeding 18 MFCC features to the deep neural network is the optimum strategy to obtain better accuracy. Increasing the hop length from 512 to 1024 reduces the input dimension size, which facilitates the RNN-LSTM model. As a result, the performance of the RNN-LSTM models has been slightly improved. Our RNN-LSTM models’ test set accuracy decreased by 5% when we took 5 segments. Additionally, we evaluated and compared our model to six genres of the GTZAN dataset and achieved 90% accuracy.
The prevalence of various menstrual disorders and its association with psychological stress in medical faculties students. A Cross-sectional study.
Authors: Alshayeb Sarah , Sakka Kanaan 
Published: December 2022

Abstract
Background: Menstrual disorders are of the most prevalent health issues in young female students studying in health science faculties. The purpose of this study was to provide an insight on the menstrual patterns among medical faculties students, and to determine whether stress can be an identified factor for its various disorders.
Methods: This was a cross-sectional study conducted in the Faculties of Medicine, Dentistry and pharmacy in the Syrian Private University, Damascus, Syria, between October and November of 2022. Nine hundred and eighty female students anonymously completed the identification of menstrual problems and Perceived Stress Scale (PSS) questionnaire. The date was analyzed with Social Science Statistics Package.
Results: The mean age of the students was 21.52 ± 2.06 years. The most common menstrual disorders in this study were dysmenorrhea (88%), premenstrual syndrome (87%), and irregular menstrual cycle (21%). We found a statistically significant relationship between the occurrence of irregular menstrual cycle and amenorrhea, polymenorrhea, and oligomenorrhea. 82% had mild to moderate stress, 10% had high stress, while 8% had low stress. There was a statistically significant relationship between stress and abnormal vaginal bleeding, oligomenorrhea, and menstrual irregularity.
Conclusion: There was a really high prevalence of stress among these students, which was also associated with the occurrence of various menstrual disorders, both of which can not only have an impact on a student's ability to function academically, but also may potentially have detrimental impacts on their reproductive and mental health. It is for that reason we advise that all students of medical faculties get brief courses on stress management strategies as part of their curriculum. Additionally, all medical faculties universities should set up procedures for the early detection of individuals with stress and menstruation disorders. The identified students with high stress levels should also get prompt gynaecological and psychiatric counselling.
Psychological benefits of hobby engagement in older age: a longitudinal cross-country analysis of 93,263 older adults in 16 countries
Authors: Fancourt Daisy , Mak Hei Wan , Noguchi Taiji , Bone Jessica , Wels Jacques , Gao Qian , Kondo Katsunori , Saito Tami 
Published: December 2022

Abstract
The growing ageing population has begun to pose a threat to global health due to social and psychological challenges experienced by older adults. To mitigate this, many countries promote hobby engagement to support and improve mental health. Yet, it remains unclear whether there is consistency in benefits across different cultural settings. We harmonised measures of hobby engagement and multiple aspects of mental health across 16 nations represented in five cohort studies. Fixed effects models and multi-national meta-analyses were applied to compare the longitudinal associations between hobbies and mental health internationally. Independent of confounders, having a hobby was associated with fewer depressive symptoms, and higher levels of self-reported health, happiness and life satisfaction. But prevalence of engagement and benefits correlated with macro-level factors such as life expectancy and national happiness levels. Consequently, ensuring equality in hobby engagement within and between countries should be the priority.
Exploring Breastfeeding Mothers’ and Lactation Consultants’ Experiences of Lactation Consultancy Throughout the Restrictions Put in Place Due to the COVID-19 Pandemic.
Authors: Connolly Anna , Matthews Anne 
Published: December 2022

Abstract

Background
Breastfeeding rates in Ireland are among the lowest in the world. Lactation consultancy provides mothers with support and information on how to cope with any challenges they encounter. There is emerging evidence that COVID-19 restrictions impacted access to and the quality of breastfeeding support.
Aim
The aim of this study was to explore breastfeeding mothers’ and lactation consultants’ experiences of breastfeeding support throughout the COVID-19 restrictions in Ireland. It also aimed to explore what adaptations had to be made to the delivery of lactation consultancy and how these changes impacted mothers’ experiences of breastfeeding support.
Methods
A qualitative research design was chosen. Semi-structured interviews were conducted with eight participants, three breastfeeding mothers and five lactation consultants. Interviews were conducted online via Zoom, audio-recorded and transcribed. The data were analysed using thematic analysis.
Results
Five key themes were identified: ‘Lack of Support’, ‘Adapting to COVID-19 Restrictions’, Emotional Response to COVID-19 and Restrictions’, Vaccination as a Barrier to and Facilitator of Support’ and Inconsistency of Lactation Support Across Ireland’. Both lactation consultants and mothers identified similar issues however, slight variations within lactation consultants' perceptions of mothers’ and mothers’ attitudes towards online services were seen. An unanticipated finding was the lack of support in hospitals pre-COVID-19.
Conclusions
Both mothers’ and lactation consultants’ experiences of lactation consultancy were impacted by the COVID-19 restrictions. Although exacerbated by COVID-19, the lack of support in hospitals existed before COVID-19. Provision of better breastfeeding support is required.
Recommendations
Increased availability of lactation consultants and the implementation of breastfeeding rooms within hospitals is required in addition to debrief counselling sessions for lactation consultants. Further research is required to understand the unavailability of lactation consultants in hospital settings and to identify how to manage breastfeeding support in future emergency situations.
Post-dispersal seed removal in an agricultural landscape of semi-arid West Africa
Authors: Boadi Paula Antwiwaah N. , Nboyine Jerry A. , Kusi Francis , Jnr Ibrahim Yussif , Lawer Eric Adjei 
Published: December 2022

Abstract
Post-dispersal seed removal is crucial for maintaining plant diversity by influencing secondary dispersal, recruitment, and mortality of seeds. In this study, we examined the effect of three habitat types (conventional farmland, agroforestry parkland, and woodland) and two seed species (Leucaena leucocephala and Faidherbia albida) on post-dispersal seed removal by invertebrates and vertebrates in an agricultural landscape using selective exclosure treatments. The exclosure treatments, closed and open, were designed to respectively impose restrictions that allow only invertebrates as well as both invertebrates and vertebrates access to seeds. The results showed that habitat type (χ2=65.06, p = <0.0001) and seed species (χ2=6.207, p = 0.013) influenced the rate of seed removal: i.e., the woodland habitat and F. albida seeds recorded the highest removal rates while the parkland habitat recorded the least. However, while not always statistically significant for most habitat pairwise comparisons for the different seed species investigated, our findings suggest that invertebrates likely dominated seed removal events compared to vertebrates. The diversity of fauna often associated with natural or woodland habitats coupled with their differential seed selection habits may have accounted for the observed findings. We further suspect that the presence of bushes and fallow lands near conventional farmlands resulted in its high seed removal rate compared to the parkland habitat. Thus, post-dispersal seed removal benefits from fauna diversity in bushes or fallows near conventional farmlands. Overall, our study has demonstrated that woodland and agricultural habitats can potentially contribute to maintaining plant population dynamics through predation and dispersal events.
Developing Rock Mass Classification Method Using Precise Description of Joints
Authors: Jin Changyu , Liang JUNYU , Cui Jianxin , Wang Qiang 
Published: December 2022

Abstract
Rock mass classification is essential for assessing the quality of macroscopic rock mass and is the basis for rock mass stability analysis and geotechnical engineering design. The joint observation technology limits traditional rock mass classification methods in that they only collect joint information from one-dimensional or two-dimensional space and cannot comprehensively obtain the joint occurrence in three-dimensional space. Consequently, empirical formulas are frequently used in studies on joint distribution laws, resulting in less accurate calculations of joint parameters. This study develops a method for classifying rock masses using a precise description of the joints. Initially, it utilizes the borehole camera and the Sirovision joint scanning system to acquire accurate three-dimensional joint occurrence data. The subjective and objective weights of each evaluation index are derived from the analytic hierarchy process (AHP) and the CRITIC technique according to the cloud model theory. The game theory is then employed to determine the combined weight and evaluate the quality of a rock mass method with the cloud model (GA-CM). The proposed classification method is applied to the slope of an open-pit mine. The results indicate that compared to the traditional methods, the proposed method is objective, accurate, and field-applicable and also reduces the influence of subjective factors on rock mass quality evaluation and enhances the classification reliability.
Evaluation of Physical Properties and Image of Polyvinyl Chloride as Breast Tissue Equivalence for Dual-Modality (Mammography and Ultrasound)
Authors: Hariyanto Aditya Prayugo , Budiarti Nurhanifa Tri , Suprijanto Suprijanto , Ng Kwan Hoong , Haryanto Freddy , Endarko Endarko 
Published: December 2022

Abstract
Tissue-mimicking phantom (TMP) is gradually becoming a fundamental element for quality assurance and control in ionizing and non-ionizing radiation imaging modalities as well as in the development of different techniques. This study aims to evaluate polyvinyl chloride (PVC) tissue mimicking material for dual-modality breast phantoms in mammography and ultrasound. Breast tissue equivalence was evaluated based on X-ray attenuation properties, speed of sound, attenuation, and acoustic impedance. There are six samples of PVC-plasticizer material with variations of PVC concentration and additives. The evaluation of X-ray attenuation was carried out using mammography from 23–35 kV, while the acoustic properties were assessed with mode A ultrasound and a transducer frequency of 5 MHz. A breast phantom was created from TMP material with tissue equivalence and was evaluated using mammography as well as ultrasound to analyze its image quality. The results showed that samples A, B, C, E, and F have the closest equivalent to the ACR breast phantom material with a different range of 0.01–1.39 in the 23–35 kV range. Based on the evaluation of the acoustic properties of ultrasound, A had high similarity to fat tissue with difference of 0.03 (dB cm− 1 MHz− 1) and 0.07 (106 kg m− 2 s− 1), while B was close to the glandular tissue with difference of 9.2 m s− 1. Multilayer breast phantom images' results showed gray levels in mammography and ultrasound modalities. This study succeeded in establishing TMP material for mammography and ultrasound. It can also be used for simple quality assurance and control programs.
Triple-Level Relationship Enhanced Transformer for Image Captioning
Authors: Zheng Anqi , Zheng Shiqi , Chen Nan , Bai Cong 
Published: December 2022

Abstract
Region features and grid features are often used in the field of image captioning. As they are often extracted by different networks, fusing them for image captioning needs connections between them. However, these connections often rely on simple coordinates, which will lead the captions lacks of precise expression of visual relationships. Meanwhile the scene graph features contain object relationship information, through the multi-layer calculation, the extracted object relationship information is of higher level and more complete, which can compensate the shortage of region features and grid features to a certain extent. Therefore, a triple-level relationship enhanced transformer(TRET) is proposed in this paper, which can process three features in parallel. TRET can obtain and combine different levels of object relationship features, achieve complementarity of different features. Specifically, we obtain high-level object-relational information with the help of Graph Based Attention, and achieve the fusion of low-level relational information and high-level object-relational information with the help of Cross Relationship Enhanced Attention, so as to better align the information of both modalities, visual and text. To validate our model, we conducte comprehensive experiments on the MS-COCO dataset. The results indicate that our method achieves better performance compared with the existing state-of-the-art methods and effectively enhances the ability of describing the representation of object relationships in the generated outcomes.
Effects of switching from biomass stoves to electric stoves and subsequent reduction in resultant emissions in the Kenyan energy sector
Authors: Akute Michelle , Cannone Carla 
Published: December 2022

Abstract
Being a major source of fuel for cooking in Kenya, biomass presents various challenges that are both environment and health related in terms of greenhouse gas emissions and indoor air pollution complications respectively. In this regard, it is imperative to encourage a switch to cleaner and safer technologies for cooking. The present paper tries to address the challenge of GHG emissions linked to using biomass fuel in the cooking sector through modelling analysis. The OseMOSYS modelling platform has been used to create three scenarios that have been used to evaluate the effects of switching from biomass stoves to electric stoves within the electricity sector in the country. Results showed that a stepwise switch to electric stoves will lead to a decrease in total emissions and specifically from biomass which contributes the largest emissions in the Kenyan energy sector at 84% for the whole modelling period. There was however an increase in emissions from coal to meet an increased demand in electricity. A scenario to limit the emissions from fossil fuels led to introduction of nuclear power plants in the electricity generation mix that brought about very high investment and operating costs in the power sector. It was recommended that an analysis should be carried out of linkages between different sectors to know effects of fuel switching on demand-side technologies and allow informed decisions by policy makers on policies. The model does not calculate and present emissions from every sub sector. This limited in depth analysis of how emissions from each sector were affected in each scenario. It was therefore recommended that this improvement on emissions presentation be done as part of future work to allow easier tracking and proposed specific actions.
Visual Recovery And Vacular Reperfusion Documented With Multimodal Imaging In A Unilateral Vasoocclusive Retinopathy With Retinal Vasculitis Presenting As The Initial And Only Manifestation Of Systemic Lupus Erythematosus
Authors: Babu Kalpana , Konana Vinaya Kumara , Mehrotra Mansi , Jois Ramesh , Murthy Krishna R 
Published: December 2022

Abstract
Aim: To report a rare case of visual recovery and vascular reperfusion in a unilateral vasoocclusive retinopathy and retinal vasculitis presenting as the initial and only manifestation of systemic lupus erythematosus(SLE) despite elevated serological markers.
Materials & Methods: Retrospective case report
Results: A 33-year-old lady with no systemic complaints, presented with blurred vision in left eye(OS). She was diagnosed to have unilateral vasoocclusive retinopathy with retinal vasculitis and macular edema(OS). Fluorescein angiography and OCTA confirmed areas of multiple arteriolar occlusions(OS). She was diagnosed to have SLE on the basis of strongly positive antinuclear antibody, nRNP/Sm(3+), SS-A(2+) and Rib.Pprotein(2+), leucopenia(3400cells/mm3), increased ESR(68mm/hr) and low complement-3 levels. There were no other clinical signs of SLE. Antiphospholipid antibodies were negative. Treatment included pulse doses of intravenous methyl prednisolone followed by oral steroids, pulse doses of intravenous cyclophosphamide, posterior subtenon steroid injection and sectoral laser photocoagulation. Serial multimodal imaging showed vascular reperfusion and good visual outcome.
Conclusion: This case report highlights the excellent visual outcome and vascular reperfusion documented with multimodal imaging in a rare case of unilateral vasoocclusive retinopathy and retinal vasculitis occurring as an isolated finding in SLE despite elevated serum markers. These findings suggest that the vaso-occlusive disease is reversible if the diagnosis is made promptly and intensive therapy is initiated.