bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mental health care for rare disease in the UK – recommendations from a quantitative survey and multi-stakeholder workshop
Authors: Spencer-Tansley Rosa , Meade Nick , Ali Farhana , Simpson Amy , Hunter Amy 
Published: February 2022

Abstract
Background Rare disease patients and carers report significant impacts on mental health but studies have focussed on relatively few, specific conditions. Collectively rare conditions represent a substantial health burden, with an estimated 3.5 million affected individuals in the UK.Method We explored the impact on mental health of living with a rare condition, and experiences of health service support, through an online survey. We offer recommendations, developed through a multi-stakeholder workshop, for policy and practice toward a more person-centred and integrated approach. Results Eligible responses came from 1,231 patients and 564 carers. Due to their rare condition, the majority of respondents had felt worried/anxious (95%); stressed (93%); low/depressed (90%); emotionally exhausted (88%). Thirty-six percent of patients and 19% of carers had had suicidal thoughts.Challenges that are particular to rare conditions and which negatively affect mental health included limited knowledge of the condition amongst healthcare professionals (88%), not being believed or taken seriously by healthcare professionals (80%), and lack of available information about the condition (76%). Only 23% of respondents felt healthcare professionals considered mental and physical health as equally important. Almost half of patients (46%) and carers (48%) reported never having been asked about their mental health, or that of the person they care for, by healthcare professionals. Our findings indicate that access to, and appropriateness of, professional psychological support needs to be improved. Peer group support is important but signposting is inadequate.Following a multi-stakeholder workshop we developed recommendations for healthcare professionals to be supported to effectively and sensitively recognise and address patients’ and carers’ mental health needs; and for service level coordination of care to integrate professional psychological support with rare disease services.Conclusion Living with a rare disease substantially impacts mental health. Many of the drivers of poor mental health reflect issues specific to managing rare conditions. To meet UK government commitments, there should be a focus on empowering healthcare professionals who treat rare disease patients and on integration of mental health support with rare disease services.
Local Environmental Legislation and Employment Growth: Evidence from Chinese Manufacturing Firms
Authors: Wen Lei , Li Hongbing , Bian Xueying 
Published: February 2022

Abstract

Using the data on provincial environmental legislation and Chinese manufacturing firms during 1998-2013, this paper empirically tests the impact of provincial environmental legislation on the firms’ employment growth with a difference-in-difference (DID) model. The results show that after the implementation of environmental legislation, the employment growth of regulated manufacturing firms decreases significantly by 3.07%, and this result is robust to alternative tests. The empirical analysis also indicates that local environmental legislation reduces employment growth mainly via the mediating mechanism of the firm’s entry and exit, export and innovation. Moreover, we find the local environmental legislation has heterogeneous impacts on employment growth in different industries and different regions, and the estimated effect is more obvious in high-pollution industries and areas with strong enforcement. This paper helps assess the impact of Chinese environmental policy on employment and provides important policy implications for improving existing laws and regulations to achieve higher social welfare.
Sources of Primary Bloodstream Infections in Internal Medicine Patients – a Cohort Study
Authors: Ben-Yosef Yonatan , Oster Yonatan , Cohen Matan J , Schwartz Carmela , Benenson Shmuel 
Published: February 2022

Abstract
Objectives: To describe the sources of bloodstream infections (BSIs) in internal-medicine patients, on admission and during hospitalization, and to determine the proportion of BSIs in which no secondary cause could be defined (i.e. primary-BSI).Methods: We analyzed all BSIs at the internal-medicine wards of the two campuses of the Hadassah Hebrew-University Medical Center, during 2017-2018. We defined the BSI source of each event (secondary, Central-line associated BSI (CLABSI) or primary non-CLABSI) and compared BSIs present on admission (POA) to hospital acquired (HA). Results: There were 595 patient-unique BSI events, 316 (53.1%) POA-BSI and 279 (46.9%) HA-BSI. Overall, 309 (51.9%) were secondary, 194 (32.6%) primary non-CLABSI and 92 (15.5%) CLABSI. Primary non-CLABSI in the POA-BSI group was 20.6% vs. 46.2% in the HA-BSI group (p=0.001). The length of hospital stay (LOS) from culture to discharge of the HA-BSI group was longer than in the POA-BSI group (mean LOS, 19 days vs. 13.6 days, p=0.01) and the mortality rate was higher (48.7% vs. 19%, p=0.001). Staphylococcus aureus was more common in primary non-CLABSI than in CLABSI and secondary BSI (29.5%, 12.8% and 16.2%, respectively).Interpretations: The proportion of primary non-CLABSI among HA-BSI events is very high (46.2%). The absence of any plausible source for these BSIs, and the fact that most patients in Internal-medicine wards have peripheral lines, suggests that the peripheral catheter is a probable source for primary non-CLABSIs. Measures to prevent peripheral line associated BSI (PLABSI), similar to those implemented successfully for the prevention of CLABSI, should be considered.
A study about the role of Wip1 in renal fibrosis by modulating macrophage phenotype
Authors: Jia Lining , Wang Yinhong , Ma Xiaotao , Wang Hao , Fu Rongguo 
Published: February 2022

Abstract
objective: To investigate the effect of wild type p53-induced phosphatase 1 (Wip1) on regulation the phenotype of macrophages and to participate in renal fibrosis.Method: RAW264.7 macrophages were stimulated by lipopolysaccharide (LPS) and IFN-γ for 24h into M1 macrophages with high expression of iNOS and TNF-α. RAW264.7 macrophages were stimulated by interleukin 4(IL-4) for 24 h to induce M2 macrophages with high expression of Arg-1 and CD206. In the meantime, RAW264.7 macrophages were transduced with Wip1 lentivirus by overexpressing it, and transduced with Wip1 RNAi by reducing the Wip1 expression. Furthermore, after coculture the transformed macrophages and mice primary renal tubular epithelial cells, and the expression levels of E-Cadhrin, Vimentin and α-SMA were measured by RT-PCR.Result: it was found that macrophages with Wip1 overexpression had no statistical changes on the expression of iNOS and showed the decreased expression of TNF-α; macrophages with Wip1 siRNA showed the increased expression of iNOS and TNF-α compared to control group. In the meantime, macrophages with Wip1 overexpression had increased expression of Arg-1 and CD206; macrophages with Wip1 siRNA showed decreased expression of Arg-1 and CD206 compared to control group. Macrophage RAW264.7could be transformed into the M2 macrophage after transducing with Wip1 lentivirus by overexpressing it, and the RAW264.7 macrophages could transform into the M1 macrophages by reducing the Wip1 expression via the Wip1 RNAi. Furthermore, after coculture the M2 macrophage and mice primary renal tubular epithelial cells, there was a decreased E-Cadherin expression, increased Vimentin, and α-SMA on the mRNA levels.Conclusion: Wip1 in macrophages may participate in the pathophysiological process in the renal tubulointerstitial fibrosis by transforming them into the M2 macrophage phenotype.
Ruminal kinetics and nutritive value of zuri grass silage harvested at different ages and added with powder molasses
Authors: Ali Omar , Junges Luciana , Gomes Eva Nara Oliveira , Batistoti Juliana Oliveira , Candido Anderson Ramires , Gomes Fernanda de Kássia , Lima Rafael de Oliveira , Silva Amarildo Pedro da , Siqueira Jeniffer da cruz , Ítavo Luis Carlos Vinhas , Coelho Elson Martins , Difante Gelson dos Santos , Dias Alexandre Menezes 
Published: February 2022

Abstract
The ideal regrowth age of forage plants and the use of fermentation stimulants additives may improve the fermentative characteristics and nutritive value of tropical grass silages. This study aimed to evaluate the effect of regrowth ages and the use of powdered molasses on nutritional characteristics of Zuri grass (Megathyrsus maximus) silages. A completely randomized design was used, in a 3x3 factorial scheme: three regrowth ages (65, 80, and 95 days) and three inclusion levels of powdered molasses of sugarcane (0, 20, and 40 g), with four replications. The chemical composition, fermentation parameters, in vitro digestibility, and in vitro degradation kinetics of the silages were evaluated. Greater DM contents were observed in silages with 95 days with 40 g of molasses. The 65 days of regrowth silages with 40 g of molasses had greater IVDMD compare to others treatments. However, lower pH values, N-NH3, DM losses, gas losses, and density were observed in silages with 95 days of regrowth with 40 g of molasses. It is recommended to cut the Zuri grass in the range of 80 to 95 days of regrowth with the addition of 40g/kg of molasses in powders for the production of silages.
Assessing the drivers of connectivity declines for jaguars in the Atlantic Forest
Authors: Martinez Julia , Saura Santiago , Insaurralde Ariel , Bitetti Mario Di , Paviolo Agustin , De Angelo Carlos 
Published: February 2022

Abstract
Context.Habitat loss is a major factor influencing declines in landscape connectivity for many species, but forest patch configuration and changes in matrix permeability can also represent important drivers. To evaluate which of these factors are predominant is key to guiding landscape planning at a regional scale. Objectives.We aimed to quantify the loss of jaguar (Panthera onca) habitat connectivity throughout 42 years and to analyse the drivers behind this process.Methods.We selected the jaguar as a focal species to 1) analyse trends in connectivity between 1973 and 2015 at the Upper Paraná Atlantic Forest eco-region; 2) compare trends in habitat connectivity considering only forest area, considering forest patch configuration, and also considering matrix permeability; and 3) compare trends in connectivity at the scale of each of the three countries of the eco-region over the same period. Results.The connectivity trend for jaguars was negative throughout the entire period, losing up to 93% of connectivity. The forest patch configuration was the main driver of this trend, and the effect of decreased matrix permeability was also significant. Both effects had a larger impact on jaguar habitat connectivity compared to the effect of habitat area declines itself. Habitat connectivity trends for the three countries were negative, with the highest loss rates found in Paraguay and Brazil compared to Argentina.Conclusions.Analysing landscape dynamics using metrics that go beyond measuring net forest area is key when assessing landscape connectivity. Habitat patch configuration and matrix permeability are important components to evaluate after the habitat loss and fragmentation process.
A Novel Optical Sensor System for the Automatic Classification of Mosquitoes by Genus and Sex with High Levels of Accuracy.
Authors: Gonzalez-Perez María I. , Faulhaber Bastian , Williams Mark , Brosa Josep , Aranda Carles , Pujol Nuria , Verdún Marta , Villalonga Pancraç , Encarnação Joao , Busquets Núria , Talavera Sandra 
Published: February 2022

Abstract
BackgroundEvery year, more than one billion people are infected and almost one million die due to vector borne diseases mainly transmitted by mosquitoes. Vector surveillance plays a major role in the control of these diseases that includes, as a key factor, a suitable and rapid taxonomical identification. New approaches for mosquito surveillance include the use of acoustic and optical sensors in combination with machine learning techniques, to provide an automatic classification of mosquitoes based on their flight characteristics, including wingbeat frequency. The development and application of these methods could enable the remote monitoring of mosquito populations in the field, which could lead to significant improvements in vector surveillance.MethodsA novel optical sensor prototype coupled to a commercial mosquito trap was tested in laboratory conditions for the automatic classification of mosquitoes by genus and sex. Recordings of more than 4300 laboratory-reared mosquitoes of Aedes and Culex genera were made using the sensor. Five features were extracted from each recording in balanced datasets and used for the training and evaluation of five different machine learning algorithms to achieve the best model for mosquito classification.ResultsThe best accuracy results achieved using machine learning were: 94.2% for genus classification; 99.4% for sex classification of Aedes; and 100% for sex classification of Culex. The best algorithms and features were; for genus classification: deep neural network with spectrogram; for sex classification of either genus: gradient boosting with Mel Frequency Cepstrum Coefficients among others.ConclusionsTo our knowledge, this is the first time a sensor coupled to a standard suction trap provides automatic classification of mosquito genus and sex with high accuracy using a large number of unique samples with class balance. This system represents an improvement of the state of the art in mosquito surveillance and encourages future use of the sensor for remote, real-time characterization of mosquito populations.
Effects of Balance and Timing Constraints on Performance During a Pointing Task with Target Uncertainty
Authors: Moya-Jofré Christopher , Mariman Juan José , Torres-Elgueta Julio , Bruna-Melo Trinidad , Aleitte-Leyton Fernanda , Carrasco-Plaza José , Muñoz-Puelman Cristian , Aedo-Muñoz Esteban , Burgos Pablo Ignacio 
Published: February 2022

Abstract
Introduction: In dynamic tasks, we must make online corrections when the position of the body or objects change, which alters the feedforward and feedback mechanisms. This research aimed to determine the effect of postural stability and correction times on a pointing task with uncertain targets.Methodology: 19 young subjects performed a pointing task toward targets that exhibited a change in position (at 200, 400, or 600 ms after) while remaining in a bipedal-firm, a bipedal-foam, and a unipedal-foam surface. Kinematics parameters were recorded during pointing.Results: What affects the precision and duration of pointing is the target change timing, not the postural condition. The target change timing and the postural condition affect the movement strategy, expressed in kinematic parameters of the center of pressure (CoP), the upper-trunk, and the index finger. However, the CoP control responded to the postural demands, while the finger and trunk control responded to the postural requests and the target change timing.Conclusion: Different postural strategies allow the achievement of a pointing task despite the changes in postural conditions. Moreover, the later the target changes, the more challenging it is to correct the reaching trajectory, achieved by a prioritization of the endpoint control.
EU Framework Programme for Research &amp; Innovation contribution to the Circular Economy components’
Authors: POPA VASILE N. , POPA LUMINITA I. , (BUTNARIU) Anca N. IUGA 
Published: February 2022

Abstract
Background: The European Union governance for sustainability is presented within a Horizon 2020 project called “Science with and for Society (SwafS)”which is built around five strategic orientations. SwafS projects are expected to support a lot of UN Sustainable Development Goals. In order to help the European Union countries in improving their R&D systems, the European Commission's Directorate for R&D established an appropriate mechanism for the Horizon 2020 program policies, designed to increase the level of participation in projects, improving implementation and evaluation of research and development policies (UEFISCDI, Specific Support to Romania, 2017). The main purpose of this paper was focused to apply a multicriterial method to analyze the contribution of EU Framework Programme for Research & Innovation policies to the Circular Economy components, according with European Union policy and regulations.Results: Using a multi-criteria method we were calculating the “Aggregation coefficient” AcHP (Acj) and the Circular Economy Performance Index PICE which represent the complex contributions of Horizon 2020 projects’ parts on circular economy components.Conclusion: The novelty of this study lies in our proposal that the Performance Index of the circular economy PIce to be used as a standard of the European Commission when is evaluating the efficiency of the participation of EU and non-EU states in accessing European Funds. This is an interdisciplinary research on the relevance of policies and regulations on circular economy issues, using EU Framework Programme for Research & Innovation as a model and also the interactions among these issues
The Effect of Long-Haul COVID Towards Domains of The Health Related Quality of Life Among Recovered Hospitalized Patients
Authors: Trihandini Indang , Muhtar Manendra , Sakti Dea Allan Karunia , Erlianti Chintya Putri 
Published: February 2022

Abstract
Background

People with long-haul COVID could experience various health problems, from mild to more severe ones. This research aimed to identify the effect of long-haul COVID, specifically on the Quality of Life domains, experienced by COVID 19 survivor. Data collection was carried out online, using data from DKI Jakarta hospitalized patients who have been confirmed with and recovered from SARS-CoV-2 infections. We selected patients who have a minimum of 28 days after being hospitalized for COVID 19 positive. Logistic regression technique was used to analyze the data. The questionnaire used in this research was measured by WHOQOL-BREF. The WHOQOL-BREF is a self-administered questionnaire comprising 26 questions on the individual's perceptions of their health and well-being over the previous two weeks. Prior to the data collection, we tested the questionnaire with 30 recovered patients who were hospitalized outside DKI Jakarta.
Result

In total of 172 recovered inpatients who filled out the questionnaire correctly and aged 18 years and above, were selected by random sampling. Almost one-third (30.2%) of the recovered inpatients had long-haul COVID, with 23.8% experiencing one long-haul symptom and 6.4% experiencing more than one symptom. This research also showed that the long-haul effects of COVID affected almost all domains of Quality of Life except the environmental one. Age, gender, and marital status were covariates for the association between long-haul COVID and The Quality of Life.
Conclusion

Due to the long-haul COVID effect on the decline in Quality of Life, the continuation of health services after discharge from the hospital is an important program to prevent it.
A Method of Sensitivity Analysis and Precision Prediction for Geometric Errors of Five-axis Machine Tools Based on Multi-body System Theory
Authors: Tan Zhou , Yinghua Liao , Jie Jiang , Junchao Zhou 
Published: February 2022

Abstract
In order to ensure the mechanical performance and machining accuracy of the machine tool, the problem of mutual deviations of the machine tool moving parts in the machining process, which cause machining errors and subsequent accuracy prediction difficulties, is solved.Firstly, the structure and motion mechanism of the machine tool are analysed, and a static accuracy model of the machine tool machining posture relationship is established using multi-body system theory and coordinate transformation, and the measured deviation values are fitted and solved according to the formula, and the geometric error law affecting machining accuracy and the distribution of machining point error values in the machine tool motion space are explored. Then the response surface method is used to simplify the solution. Finally, the blade is selected as the machined part and the machining trajectory is extracted for experiments to obtain the error distribution range of the machining surface of the blade.The final experimental results surface, along the Z-directional component and the integrated average compensation rate reached 42.6% and 89.6% respectively, verifying the effectiveness of the method in this paper.
Lysobacter Chinensis sp. nov., a Cellulose-degrading Strain Isolated From Cow Dung Compost
Authors: Liu Yu-Yue , Zhou Liu-Yan , Yang Xin-Ping , Li Peng-bin , Xie Yu-Qing , Feng Lei 
Published: February 2022

Abstract
A novel bacterial strain, TLK-CK17T, was isolated from cow dung compost sample. The strain was Gram-stain-negative, non-spore-forming, short rod-shaped, aerobic, and displayed growth at 15–40°C with an optimum at 35°C, with 0–5.0% (w/v) NaCl (optimum 0.5) and at pH 6.5–8.5 (optimum 7.0–7.5). Cells contained summed iso-C16:0, iso-C15:0, and feature 9 (comprising C17:1 ω9c and / or 10-methyl C16:0), as its major cellular fatty acids (>10.0%) and ubiquinone-8 (Q-8) as the exclusively respiratory quinone. The polar lipid profile of strain TLK-CK17T consisted of phosphatidylethanolamine, phosphatidylglycerol and diphosphatidylglycerol. The DNA G+C content was 68.2 mol%. On the basis 16S rRNA gene sequence comparison, strain TLK-CK17T showed the highest sequence similarity (98.9%) with L. penaei GDMCC 1.1817T, followed by L. maris KCTC 42381T (98.3%). Furthermore, the average nucleotide identity (ANI) and digital DNA–DNA hybridization (dDDH) between strain TLK-CK17T and closely related strains L. penaei GDMCC 1.1817T, and L. maris KCTC 42381T were 79.9–85.6% and 23.9–29.6%, respectively. Based on presented results, we propose a novel species for which the name Lysobacter chinensis sp. nov. is suggested, with the type strain TLK-CK17T (=CCTCC AB2021257T= KCTC 92122T).