Miracle-dz/UniFAR-FTUs huggingface dataset:
Associations between Sleep and Mental Health in Adolescents: Results from the UK Millennium Cohort Study

(1) Background: There is a growing interest in investigating the relationship between sleep and mental health development in adolescents. This study aims to further investigate this relationship by identifying the specific associations between several sleep problems in adolescents and several mental health areas, and the role of gender in these associations. (2) Methods: Data from the Millennium cohort survey containing 11,553 individuals at 13–14 years old was included. Nighttime sleep duration and bedtime during weekdays and weekends, night awakening frequency, and sleep onset latency were assessed using self-reported questionnaires. Affective symptom and emotional and behavioural problems were examined with self-reported questionnaires. (3) Results: Regression analyses and path analysis models suggested that frequent night awakening was associated with all the outcomes, and hyperactivity/inattention was the outcome that presented a higher number of significant associations with sleep patterns. Long sleep onset latency and late bedtime at school days were associated with higher risk of emotional and behavioural difficulties. Further, poor sleep seems to manifest more externally in males, while more internally in females. (4) Conclusions: Specific sleep problems should be considered when assessing mental health in adolescence, which would allow more targeted prevention and intervention strategies. Further, special attention should be given to gender differences when addressing sleep and mental health.
Assessing the use of pseudo-panels to estimate the value of statistical life

ABSTRACT In this paper, we estimate the Value of Statistical Life (VSL) for Chile, Colombia, and the United States using a hedonic wage model and a pseudo-panel approach. The VSL is a major component of the cost-benefit analysis of many policies, including public health, transportation safety, and environmental regulation. Using pseudo-panels, also known as synthetic cohort data, to estimate the VSL is relevant for low- and middle-income countries because many do not have panel data but do have repeated cross-sectional information. We conclude that the pseudo-panel approach is a suitable alternative for estimating the VSL when panel data is unavailable.
Improved Third-Harmonic Injection Two-Stage Matrix Converter Topology Based on Decomposition Control of Injection Current

In this article, an improved topology of the third-harmonic injection two-stage matrix converter (3TSMC) is proposed, which not only ensures that the input reactive power control capability is independent of the voltage transfer ratio (VTR) and the load conditions but also achieves high-quality mains current waveforms. To solve the problem of injection current control error in nonunit input power factor operation of 3TSMC, the third-harmonic injection current is decomposed into the active and reactive components, which are, respectively, controlled by the original injection current control bridge arm and an additional bridge arm named reactive power control bridge arm (RB). The maximum current of the inductor of RB is equal to the absolute value of the required input reactive current amplitude and will not increase with the increase of the VTR. The design criteria of the inductor of RB are discussed. To ensure the closed-loop stability under two injection directions, the controller of the injection current reactive component is designed. The effectiveness of the proposed topology and control strategy is verified by the experimental results.
Who Is Credible? Government Popularity and the Catalytic Effect of IMF Lending

In this paper, I explain variations in international investors’ reactions to International Monetary Fund (IMF) programs. Investors react favorably if a borrowing government is credibly committed to implementing essential IMF conditionality. Instead of engaging complex information processing about economic reform, however, investors rely on a heuristic device to assess the borrower’s domestic political conditions. I argue that a borrowing government’s popularity is an important cue for investors to assess the prospect of an IMF program. Investors associate higher government popularity with better implementation of the program and react more favorably to more popular borrowers. Using annual data from up to 52 emerging market economies from 1998 to 2017, I find robust statistical evidence supporting these claims: an IMF program alone does not restore investor confidence. Rather, an IMF program carried out by a strong government does. My findings have important implications for the study of global financial governance and credible commitment.
Specific Peptides Predict Protein Classification

The methodology of Specific Peptides (SP) has been introduced within the context of enzymes. It is based on an unsupervised machine leaning (ML) tool for motif extraction, followed by supervised annotation of the motifs. In the case of enzymes, the classifier is the Enzyme Classification (EC) number. Here we demonstrate that this method reaches precision of 96.5% and recall of 89.1% on presently available protein sequences. We also apply this method to two other protein families, GPCR and ZF, find their corresponding SPs, and provide the code for searching any protein sequence for its classification under any such family.
RESEARCH ON MODEL CONSTRUCTION OF SUPPORT VECTOR MACHINE AND PRECISION-INFLUEUCING FACTORS OF SLOPE ANGLE DESIGN

Based on the structural risk minimization principle,a support vector machine(SVM) algorithm,the best machine learning algorithm in the artificial intelligence field today,is introduced. Two kinds of kernel functions(linear and radial basis function) and two kinds of loss functions (e -insensitive and quadratic) and different penalty parameter C are adopted to program a SVM routine in Matlab. Using the developed SVM model, many influencing factors of slope angle design are analyzed. With continued parameter modification and comparative calculations,a SVM network model with high accuracy of fitting was established. The reliability of this SVM network model is verified by sample testing,where many kinds of accuracy influencing factors of the SVM model are considered. The precision influencing sequence of these parameters is confirmed based on the calculation results,providing reference for similar engineering applications.
Characterization of the bark storage protein gene (JcBSP) family in the perennial woody plant Jatropha curcas and the function of JcBSP1 in Arabidopsis thaliana

Background Bark storage protein (BSP) plays an important role in seasonal nitrogen cycling in perennial deciduous trees. However, there is no report on the function of BSP in the perennial woody oil plant Jatropha curcas. Methods In this study, we identified six members of JcBSP gene family in J. curcas genome. The patterns, seasonal changes, and responses to nitrogen treatment in gene expression of JcBSPs were detected by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Overexpression of JcBSP1 in transgenic Arabidopsis thaliana was driven by a constitutive cauliflower mosaic virus (CaMV) 35S RNA promoter. Results JcBSP members were found to be expressed in various tissues, except seeds. The seasonal changes in the total protein concentration and JcBSP1 expression in the stems of J. curcas were positively correlated, as both increased in autumn and winter and decreased in spring and summer. In addition, the JcBSP1 expression in J. curcas seedlings treated with different concentrations of an NH4NO3 solution was positively correlated with the NH4NO3 concentration and application duration. Furthermore, JcBSP1 overexpression in Arabidopsis resulted in a phenotype of enlarged rosette leaves, flowers, and seeds, and significantly increased the seed weight and yield in transgenic plants.
Comparative analysis of wear behaviour of commercial polymeric pipe materials under different sliding environments

ABSTRACT The friction and wear behaviour of three commonly used commercial polymeric materials, namely, Acrylic, high density polyethylene (HDPE) and unplastisised polyvinyl chloride (uPVC), was studied experimentally under normal ambient conditions. More specifically, the wear rate and coefficient friction of the materials were evaluated against a mild steel counter disc under three different sliding conditions realised by dry, wet (water) and 5% bentonite-clay water environments, which were then analysed as a function of sliding distance as well as the applied load on the sample. Moreover, in order to visualise the results of the present investigation in a comprehensive manner, the associated major physical and mechanical properties of the materials were also investigated. The vertical pin-on-disc method was used to conduct the study. Both the wear and friction characteristics were strongly linked to the structure of the polymers; HDPE samples being fully crystalline show best wear and friction characteristics, whilst the amorphous Acrylic shows the worst. Optical microscopic analysis of the specimens, particles from the worn surfaces (wear debris) and the counter disc also indicated that Acrylic was most affected by wear, whilst HDPE was least affected. SEM and EDX observations showed that uPVC was most affected by oxidation followed by HDPE and Acrylic. The excellent wear and frictional properties of HDPE, especially, in particle-dense fluid transportation, make it ideal for dynamic applications, particularly with mine debris flows and transporting of slurry.
Hypopigmentation and subcutaneous fat atrophy associated with corticosteroid injection: a case report

Corticosteroid injections have been shown to be an effective treatment modality in many of the musculoskeletal and rheumatologic conditions. Yet, the potential adverse effects of corticosteroid injections have not been given much attention. One of the potential adverse effects that should be considered by clinicians is skin hypopigmentation and subcutaneous fat atrophy. Although it is a rare side effect, it may have cosmetically unpleasant effect. The aim of this case report is to highlight the importance of providing adequate information to the patients regarding these dermal adverse effects of corticosteroid injections. We report the case of a 31-year-old female who suffered from skin hypopigmentation and subcutaneous fat atrophy after triamcinolone injection given for de Quervain’s tenosynovitis. Key words: de Quervain’s tenosynovitis; Fat atrophy; Hypopigmentation; Corticosteroid injections; Adverse effects; Pain Citation: Prihatsari F, Hidayati HB, Damayanti D, Budisulistyo T. Hypopigmentation and subcutaneous fat atrophy associated with corticosteroid injection: a case report. Anaesth. pain intensive care 2021;25(6):807–811; DOI: 10.35975/apic.v25i6. 1708
Blurring the distinction between the researcher and the researched: Doing Collective Memory-Work online in Covid times

Collective-Memory Work (CMW) is a method of research and learning that relies on a group working together on a topic of shared interest. It aligns with other qualitative approaches such as participatory and feminist research methods, collaborative auto-ethnography, narrative inquiry, and emancipatory adult learning. In CMW participants write short stories from their own memory on a theme agreed in advance. The stories are subsequently scrutinized by the group via detailed textual analysis and recursive discussion. Due to COVID restrictions in 2020, a planned CMW workshop at an Irish higher education institution had to be delivered online. The purpose of this case study is two-fold: first it provides an overview of the CMW approach and how it is implemented in practice, detailing the concrete activities carried out in the workshop. Second, the case study provides insight into running a workshop of this kind online, and the perceived benefits identified by participants of adopting such an approach. We argue that CMW generates an egalitarian group dynamic, encourages active listening, and enables the co-creation of textual analysis in a spirit of collectivity and mutual respect. We suggest that CMW is a versatile method that can be usefully deployed within and beyond academic settings.
An on-Site Material Handling Calculation Model

The efficiency of the UK construction industry is estimated to be between 40 and 60%. To improve this situation many new ideas are being investigated. This paper reports on research being conducted to improve the way that materials are delivered to and moved around construction sites. The research uses four different models taken from operational research to produce a materials handling schedule for each commodity required for the construction project. The optimum schedule is the one which best matches the project objectives which will be lowest cost, shortest time or maximising the output from the available resources. The model is being tested on two construction sites at the University of Southampton and reduced cycle times for a number of operations.
The prognostic value of extracranial vascular characteristics on procedural duration and revascularization success in endovascularly treated acute ischemic stroke patients

Introduction Vascular anatomy might affect endovascular treatment success in acute ischemic stroke patients with large vessel occlusion. We investigated the prognostic value of extracranial vascular characteristics on procedural time and revascularization success in patients with large vessel occlusion in the anterior cerebral circulation. Patients and methods We included 828 patients endovascularly treated within 6.5 hours of symptom onset from the Dutch MR CLEAN-Registry. We evaluated aortic arch configuration, stenosis and tortuosity of supra-aortic arteries, and internal carotid arteries (ICAs) on pre-intervention CTA. We constructed logistic prediction models for outcome variables procedural duration (≥60 minutes) and non-successful revascularization (extended thrombolysis in cerebral infarction (eTICI) of 0–2A) using baseline characteristics and assessed the effect of extracranial vascular characteristics on model performance. Results Cervical ICA tortuosity and stenosis ≥99% improved prediction of long procedural duration compared with baseline characteristics from area under the curve of 0.61 (95% CI: 0.57–0.65) to 0.66 (95% CI: 0.62–0.70) (P < 0.001). Cervical ICA tortuosity was significantly associated with non-successful recanalization. Prediction of non-successful revascularization did not improve after including aortic arch elongation, acute take-off angle, aortic variant, origin stenosis of supra-aortic arteries, and cervical ICA tortuosity, with an area under the curve of 0.63 (95% CI: 0.59–0.67) compared with 0.59 (95% CI: 0.55–0.63) (P = 0.11). Conclusion Extracranial vascular characteristics have additional prognostic value for procedural duration, but not for revascularization success, compared with baseline characteristics. Performance of both prediction models is limited in patients treated for large vessel occlusion.
High frame rate CMOS digital camera by semiconductor refrigeration and its imaging noise analysis

For improving the imaging quality of a high-speed CMOS sensor and reducing the dark-current and spatio-temporal noise of imaging sensor,the design of high frame rate CMOS digital camera system cooled by semiconductor refrigerator is introduced.For this camera cooling system,refrigeration quantity can be controlled by designed integrative multilevel semiconductor refrigerator.The difference of sensor cooling temperature and surroundings temperature can reach to at most 40 ℃,and Fixed Pattern Spatial Noise(FPN) of dark current and random spatio-temporal noise can be reduced greatly by reducing the temperatures of CMDS sensors.In addition,Color Filter Array(CFA) conversion and nonuniform correction are implemented by hardware in camera,and the Signal Noise Ratio(SNR) of output image can be increased by 6 dB.Experimental results show that designed cooling camera system has many advantages in high density of integration,compact structure,high resolution,high frame rate,high SNR,wide dynamic range,and high imaging quality.
The Anti-Angiogenic and Anti-Proliferative Activity of Methyl Hydroxychalcone

Objective: Angiogenesis plays a key role in tumor growth, invasion, and metastasis of cancer diseases, and therefore, the inhibition of angiogenesis can provide an important therapeutic approach in cancer diseases. The aim of this study was to investigate the inhibitory effects of methyl hydroxychalcone on ex vivo sprouting of rat aortic micro-vessels and in vivo formation of chorionic plexus in chick chorioallantoic membrane and to investigate the mechanism underlying anti-angiogenic activity. Methods: Rat aortic rings were sectioned by 1 mm. 500μl of 3 mg/ml of fibrinogen in serum free M199 growth medium was added to each well with 5 ug/ml of aprotinin. Methyl hydroxychalcone at varying concentrations ranging from 6.25 µg/ml to 100 µg/ml was added to the complete growth medium. Fertilized chicken eggs were incubated at 37°C. On day 3, a small window was opened in the shell. The window was sealed with adhesive tape and incubated until day 5. One mg of methylhydroxychalcone was applied. Images of each CAM were captured using a digital camera, and the dimensions of the blood vessels were measured digitally. Vascular endothelial growth factor (VEGF)-induced human umbilical vein endothelial cell (HUVEC) proliferation and tube formation assays were examined. Additionally, VEGF-165 levels and expression of membrane VEGF receptor-2 in HUVEC lysates have been assessed. Results: The data showed that methyl hydroxychalcone significantly had antiangiogenic activity in a dose dependent manner in the rat aorta assay and had significant perturbation activity on blood vessels in the CAM assay. Methyl hydroxychalcone significantly inhibited proliferation and capillary-like tube formation in VEGF-induced HUVEC. Moreover, methylhydroxychalcone significantly reduced VEGF-165 levels in HUVECs lysate. Conclusion: This study showed that methyl hydroxychalcone significantly inhibits the angiogenesis process, blocking the VEGF signaling pathway in HUVECs and could be a potential promising angiogenesis inhibitor lead compound.
Do competitiveness and corporate social responsibility affect brand image? A case study of Vietnamese financial leasing companies

Financial leasing companies in Vietnam have been established for more than 20 years. However, little is known about the determinant factors of the brand image of these companies. This study aims to measure the associated factors of the brand image of financial leasing companies in Vietnam by employing a cross-sectional study from March to June 2021. An online survey using Google Forms has been sent via email to 350 people, including directors, deputy directors, relevant heads of departments, and employees of financial leasing companies in Vietnam. A total of 298 participants agreed to participate in the survey (the response rate is 85.1%). The Cronbach’s alpha of every factor is higher than 0.8 (ranges from 0.824 to 0.949). Confirmatory Factor Analysis (CFA) results show that the values of Composite Reliability are all higher than 0.7 and ones of Average Variance Extracted are all higher than 0.5, which assure the reliability and validity of the scale. Structural Equation Model (SEM) has been applied, and model fit indexes have been calculated to test the research hypotheses. The findings show that cooperate social responsibility positively affects the brand image of financial leasing companies in Vietnam. Moreover, the result confirms the mediating role of enterprise strategy and operational efficiency for companies’ competitiveness and brand image. These results indicate that managers at finance leasing companies and stakeholders should have suitable policies to increase competitiveness and corporate social responsibility for the sustainable development of financial leasing companies in Vietnam. AcknowledgmentThis paper is a collaboration between the School of Business and Economics and the Institute of Theoretical and Applied Research of Duy Tan University. The authors thank the leaders of the two institutions for helping to make the research cooperation successful.
Construction and practice of elite course of Error Theory and Fundation of Surveying Adjustment

From the development history of surveying adjustment,and what are required for the course by the development of surveying and mapping science and technology we know the importance of curriculum reform.According to the achievements of teaching and scientific research in the creation process of a national excellent course,some aspects are discussed such as construction of subject system,reform of curriculum contents,innovation of teaching methods,and so on,which is helpful to make better use of research results in the process of the construction of national excellent courses,and also can deepen further reform of teaching.
Arsenic Trioxide Cooperate Cryptotanshinone Exerts Antitumor Effect by Medicating Macrophage Polarization through Glycolysis

Hepatocellular carcinoma (HCC) is an often-fatal malignant tumor with high lethality. Despite advances and significant efficacy in monotherapy, cancer therapy continues to pose several challenges. Novel combination regimens are an emerging strategy for anti-HCC and have demonstrated to be effective. Here, we propose a potential combination for HCC treatment named arsenic trioxide cooperate cryptotanshinone (ACCS). A remarkable synergistic therapeutic effect has been achieved compared with drugs alone in both in vivo and in vitro experiments. Mechanism study indicated that ACCS exerts its therapeutic actions by regulating macrophage-related immunity and glycolysis. ACCS potentiates the polarization of M1 macrophages and elevates the proportion of M1/M2 to remodel tumor immunity. Further molecular mechanism study revealed that ACCS intensifies the glucose utilization and glycolysis in the macrophage by increasing the phosphorylation of AMPK to activating the AMPK singling pathway. In conclusion, ACCS is a highly potential combination regimen for HCC treatment. The therapeutic potential of ACCS as a candidate option for anticancer drugs in restoring the balance of immunity and metabolism deserves further investigation.
SVPWM over-modulation algorithm based on superposition principle

A space vector pulse width modulation (SVPWM) over-modulation algorithm was developed based on the superposition principle to increase the DC bus voltage utilization ratio, raise the output power in regions of flux weakening and expand the operation range of induction machines. The digital method is easier to implement and gives smooth transitions from linear modulation to six-step operation. The over-modulation algorithm is described with simulations and experiments. The results show that the amplitude of fundamental voltage linearly increases with the modulation factor and that the harmonics of the output voltage are markedly reduced.