Miracle-dz/UniFAR-FTUs huggingface dataset:
A Hierarchical Scheduling Policy for Large-Scale Rendering

With the development of high performance computing, especially after the emergence of petaflop system, people pay more attentions on how to use these resources in an effective way and what application could be deployed on them except for scientific computing. Given the properties of high performance computing, rendering is one kind of application which is very suitable for distributed computing due to intensive computation and massive data access. A rendering task could be decomposed into multiple independent subtasks and submitted for parallel execution. But because of the heterogeneity and unbalanced load in the computing environment, there often appear such circumstances where there are severe load unbalances. Moreover, the high performance platform is not exclusively used for rendering on account of the sharing of computing resources. For rendering there are some new available resources at a given time and at another point those resources will possibly become unavailable likewise. In this paper, we propose a hierarchical scheduling policy for large-scale rendering to resolve above problems. And afterwards we focus on load balance layer which is the key part in our policy. In order to make use of the resources in a more effective style, the load balancing for rendering based on feedback of the runtime information is proposed. We evaluate the proposed approach comparing with non-strategy approach. The results show our approach can be competitive choice for rendering schedule and outperforms non-strategy by 10.2%-23% in terms of completion time.
Review Article: Synthesis, properties, and applications of fluorescent diamond particles

Diamond particles containing color centers—fluorescent crystallographic defects embedded within the diamond lattice—outperform other classes of fluorophores by providing a combination of unmatched photostability, intriguing coupled magneto-optical properties, intrinsic biocompatibility, and outstanding mechanical and chemical robustness. This exceptional combination of properties positions fluorescent diamond particles as unique fluorophores with emerging applications in a variety of fields, including bioimaging, ultrasensitive metrology at the nanoscale, fluorescent tags in industrial applications, and even potentially as magnetic resonance imaging contrast agents. However, production of fluorescent nanodiamond (FND) is nontrivial, since it requires irradiation with high-energy particles to displace carbon atoms and create vacancies—a primary constituent in the majority color centers. In this review, centrally focused on material developments, major steps of FND production are discussed with emphasis on current challenges in the field and possible solutions. The authors demonstrate how the combination of fluorescent spectroscopy and electron paramagnetic resonance provides valuable insight into the types of radiation-induced defects formed and their evolution upon thermal annealing, thereby guiding FND performance optimization. A recent breakthrough process allowing for production of fluorescent diamond particles with vibrant blue, green, and red fluorescence is also discussed. Finally, the authors conclude with demonstrations of a few FND applications in the life science arena and in industry.
A Synergistic Approach towards Autonomic Event Management in Supply Chains

Supply Chains (SCs), due to their very nature and intent (e.g., embracing change in markets, products, manufacturing, partners, globalization) in conjunction with market pressures, will face ongoing challenges that are necessarily reflected on the Information Technology (IT) infrastructure used to manage and optimise their operations. Supply Chain Management Software (SCMS) typically covers the various functional aspects of SCs, including integration technology. The result of the IT integrations is a form of an information supply chain, including computational representation s of physical SC entities. For purposes of this chapter SCMS will be considered to incorporate any ERP solutions and/or IT infrastructure utilized to enable the information integration required to support the SCs. Current SC IT challenges include decision making, collaboration, and attaining qualities such as scalability, performance, integratability, correctness, and reliability in the face of the perpetual dynamics and increasing complexity of SCs. To avoid disruptions to SCs, Supply Chain Event Management (SCEM) considers the set of possible event scenarios and plans solutions. Events can be either representations of realworld events or can be introduced as a side-effect of the Information Systems (IS) supporting the SC (IT events). SCs can achieve their goals for optimal management of operations only to the extent and degree that they manage and automate the necessary information flow, especially with regard to managing unexpected events. The effective handling of potentially disruptive events is vital to achieving the aforementioned qualities, yet the ongoing change (mirrored in the IT sy stems) in entities and the properties and relations thereof, necessarily limits the sufficiency and totality of pr edefined solutions. A synergistic approach that leverages various computing paradigms can provide improved SCEM solutions. In the face of potentially disruptive SC and IT events (referred to as SCEs in this chapter), autonomic computing (AC), inspired by the human autonomic nervous system, with its stated goals of self-configur ation, self-optimization, self-healing, and self-protection (also known as self-X), would appear to be a synergistic candidate for improving SCEM. While some properties defined for autonomic systems1 may not be applicable to SCEM, others will be beneficial. A partial application of AC techniques to achieve improved reactive event
Psychological Factors and Alcohol Use in Problematic Mobile Phone Use in the Spanish Population

This research aims to study the existing relationships among the factors of state anxiety, depression, impulsivity, and alcohol consumption regarding problematic mobile phone use, as assessed by the Mobile Phone Problem Use Scale. The study was conducted among 1,126 participants recruited among the general Spanish population, aged 16–65 years, by assessing the predictive value of these variables regarding this problematic use. Initially tobacco use was also considered being subsequently refused because of the low internal consistency of the scale used. In general terms, the results show that this problematic use is mainly related to state anxiety and impulsivity, through the dimensions of Positive and Negative Urgency. Considering its predictive value, multiple regression analysis reveals that state anxiety, positive and negative urgency, and alcohol consumption may predict problematic mobile phone use, ruling out the influence of depression.
Increasing specificity in perceptual development: infants' detection of nested levels of multimodal stimulation.

This research assessed the development of infants' sensitivity to two nested amodal temporal relations in audible and visible events. Their detection of global temporal synchrony between visible and audible impacts and internal temporal structure nested within each impact specifying object composition (single versus compound objects) was assessed. Infants of 4, 7, and 11 weeks of age were habituated to a single and a compound object striking a surface and then received test trials depicting a change in synchrony or object composition. Results indicated an interaction between age and condition where sensitivity to synchrony was present by 4 weeks and remained stable across age, whereas sensitivity to composition emerged later, by 7 weeks, and increased dramatically with age. These findings converge with other recent findings to illustrate a pattern of increasing specificity in the development of perception, where infants first detect global and later detect embedded relations. The early sensitivity to global relations may provide an organizational framework for development by focusing infant attention on unitary events, guiding and constraining further exploration, and buffering infants from learning incongruent relations.
Evidence for nerve growth factor-mediated paracrine effects in human epidermis

Nerve growth factor (NGF) is critical to the development and maintenance of the peripheral nervous system, but its possible roles in other organ systems are less well characterized. We have recently shown that human epidermal melanocytes, pigment cells derived from the neural crest, express the NGF receptor (p75 NGF-R) in vitro (Peacocke, M., M. Yaar, C. P. Mansur, M. V. Chao, and B. A. Gilchrest. 1988. Proc. Natl. Acad. Sci. USA. 85:5282-5286). Using cultured human skin-derived cells we now demonstrate that the melanocyte p75 NGF-R is functional, in that NGF stimulation modulates melanocyte gene expression; that exposure to an NGF gradient is chemotactic for melanocytes and enhances their dendricity; and that keratinocytes, the dominant epidermal cell type, express NGF messenger RNA and hence are a possible local source of NGF for epidermal melanocytes in the skin. These combined data suggest a paracrine role for NGF in human epidermis.
Operational maize yield model development and validation based on remote sensing and agro‐meteorological data in Kenya

Remote‐sensing data acquired by satellite have a wide scope for agricultural applications owing to their synoptic and repetitive coverage. On the one hand, spectral indices deduced from visible and near‐infrared remote‐sensing data have been extensively used for crop characterization, biomass estimation, and crop yield monitoring and forecasting. On the other hand, extensive research has been conducted using agrometerological models to estimate soil moisture to produce indicators of plant‐water stress. This paper reports the development of an operational spectro‐agrometeorological yield model for maize using a spectral index, the Normalized Difference Vegetation Index (NDVI) derived from SPOT‐VEGETATION, meteorological data obtained from the European Centre for Medium‐Range Weather Forecast (ECMWF) model, and crop‐water status indicators estimated by the Crop‐Specific Water Balance model (CSWB). Official figures produced by the Government of Kenya (GoK) on crop yield, area planted, and production were used in the model. The statistical multiple regression linear model has been developed for six large maize‐growing provinces in Kenya. The spectro‐agrometerological yield model was validated by comparing the predicted province‐level yields with those estimated by GoK. The performance of the NDVI and land cover weighted NDVI (CNDVI) on the yield model was tested. Using CNDVI instead of NDVI in the model reduces 26% of the unknown variance. Of the output indicators of the CSWB model, the actual evapotranspiration (ETA) performs best. CNDVI and ETA in the model explain 83% of the maize crop yield variance with a root square mean error (RMSE) of 0.3298 t ha−1. Very encouraging results were obtained when the Jack‐knife re‐sampling technique was applied, thus proving the validity of the forecast capability of the model (r 2 = 0.81 and RMSE = 0.359 t ha−1). The optimal prediction capability of the independent variables is 20 days and 30 days for the short and long maize crop cycles, respectively. The national maize production during the first crop season for the years 1998–2003 was estimated with an RMSE of 185 060 t and coefficient of variation of 9%.
Transition to Parenthood and HIV Infection in Rural Zimbabwe

Background The relationship between the risk of acquiring human immunodeficiency virus (HIV) infection and people’s choices about life course events describing the transition to parenthood–sexual debut, union (in the form of marriage, cohabitation, or long-term relationship), and parenthood–is still unclear. A crucial role in shaping this relationship may be played by the sequence of these events and by their timing. This suggests the opportunity to focus on the life courses in their entirety rather than on the specific events, thus adopting a holistic approach that regards each individual’s life course trajectory as a whole. Methods We summarise the individual life courses describing the transition to parenthood using ordered sequences of the three considered events. We aim to (i) investigate the association between the sequences and HIV infection, and (ii) understand how these sequences interact with known mechanisms for HIV transmission, such as the length of sexual exposure and the experience of non-regular sexual partnerships. For this purpose, we use data from a general population cohort study run in Manicaland (Zimbabwe), a Sub-Saharan African area characterised by high HIV prevalence. Results For both genders, individuals who experienced either premarital or delayed childbearing have higher HIV risk compared to individuals following more standard transitions. This can be explained by the interplay of the sequences with known HIV proximate determinants, e.g., a longer exposure to sexual activity and higher rates of premarital sex. Moreover, we found that people in the younger birth cohorts experience more normative and safer sequences. Conclusions The shift of younger generations towards more normative transitions to parenthood is a sign of behaviour change that might have contributed to the observed reduction in HIV prevalence in the area. On the other hand, for people with less normative transitions, targeted strategies are essential for HIV prevention.
Observing the Materiality of Values in Information Systems Research

Research focused on values in information systems (IS) is conducted using a diversity of approaches, methods and theoretical frameworks. This paper presents a systematic literature review to investigate the relationship between values and materiality -- specifically, how researchers materialize values -- in IS research. Analysis of the literature demonstrates that IS researchers perceive the values of research subjects in their language, attitudes, design, and practices. They also materialize values at different temporal points in the research process. These materialization choices are largely independent of research method, and are an important research design consideration. Conceptualizing the materiality of values can enable values researchers to be explicit about methodological choices regarding the observation of values.
MobileNet Classifier for Detecting Chest X-Ray Images of COVID-19 based on Convolutional Neural Network

Since the COVID-19 pandemic occurred all over the world, numerous studies were carried out to overcome this problem, including COVID-19 image analysis. An expert analysis based on the Chest X-ray images of COVID-19 determines the progression of the lung condition. Eye visualization and expertise of a radiologist have limitations in handling big cases. This study aims to implement the Convolutional Neural Network (CNN) and MobileNet models as deep learning models to classify chest X-ray images into multiclassification, three categories: COVID-19, normal, and virus. The processes were pre-processing and processing. The pre-processing stage was preparing data, and the processing stage was the implementation model and investigating the best model performance in both convolution and classification in depth-wise convolution and batch normalization. The metrics were accuracy, precision, f1-score, and recall. The CNN results of accuracy, precision, recall, and f1-score respectively were 0.94; 0.99; 0.95; and 0.96. The MobileNet results of the metrics were 0.97; 0.98; 0.99, and 0.99. The MobileNet outperforms the CNN results due to depth-wise convolution and batch normalization. Both models contribute to the faster epoch of the best hyperparameter to achieve loss and accuracy convergence. The models are worth recommending to deployment front-end.
Effects of supplemental oxygen on forearm vasodilation in humans.

Supplemental O2 reduces cardiac output and raises systemic vascular resistance in congestive heart failure. In this study, 100% O2 was given to normal subjects and peak forearm flow was measured. In experiment 1, 100% O2 reduced blood flow and increased resistance after 10 min of forearm ischemia (flow 56.7 +/- 7.9 vs. 47.8 +/- 6.7 ml.min-1.100 ml-1; P < 0.02; vascular resistance 1.7 +/- 0.2 vs. 2.4 +/- 0.4 mmHg.min.100 ml.ml-1; P < 0.03). In experiment 2, lower body negative pressure (LBNP; -30 mmHg) and venous congestion (VC) simulated the high sympathetic tone and edema of congestive heart failure. Postischemic forearm flow and resistance were measured under four conditions: room air breathing (RA); LBNP+RA; RA+LBNP+VC; and 100% O2+LBNP+VC. LBNP and VC did not lower peak flow. However, O2 raised minimal resistance (2.3 +/- 0.4 RA; 2.8 +/- 0.5 O2+LBNP+VC, P < 0.04). When O2 alone (experiment 1) was compared with O2+LBNP+VC (experiment 2), no effect of LBNP+VC on peak flow or minimum resistance was noted, although the return rate of flow and resistance toward baseline was increased. O2 reduces peak forearm flow even in the presence of LBNP and VC.
Zika Virus Disease in Traveler Returning from Vietnam to Israel

To the Editor: On February 1, 2016, the World Health Organization designated the Zika virus disease outbreak in Latin America as a Public Health Emergency of International Concern (1). Genetic and epidemiological data suggest that Zika virus had been present in Southeast Asia since the 1940s (2); however, the disease burden and geographic extent of Zika virus disease in Asia are not clear. Occasional cases in some Asian countries, mostly in returning travelers, have recently been documented (3–5); however, as of February 2016, none were in Vietnam.
The function of the spine and its morphological effect in quadruped robot locomotion

In quadruped animals, spinal movements contribute to locomotion in terms of controlling body posture, providing the foundation to generate leg movement, and integrating limb and trunk actions. Inspired by this biological findings, we develop two quadruped models featuring different numbers of spinal joints to demonstrate the spine-driven locomotion behaviors. To gain a deep understanding of how the locomotion is achieved by axial driven propulsion and how the spinal morphology affects locomotion, we exclusively employ actuated spinal joint(s) to the model with a minimalistic control strategy. We choose three individuals from these two models and analyze their behaviors in terms of gait properties, i.e., angle of attack, ground clearance, and movement of the center of mass. The results show that employing the spinal morphology with two joints can greatly enhance the stability and speed of locomotion. Among several advantageous properties of the two spinal joint model we identify the following. First, it allows the robot to adjust the movement of the center of mass to stabilize itself. Second, by providing more freedom to bend the spine, the robot can pull the rear legs forward, thus increasing the stride length. Finally, locomotion with this model exhibits two flight phases and greater flight proportion during each stride, similar to what it is observed from running cheetahs, which make significant difference in the speed and the gait.
Biotics and Children’s and Adolescents’ Health: A Narrative Review

Recently, there has been an increasing interest in the association of gut microbiota with health conditions and the potentially beneficial role of several types of biotics in several population groups, including children and adolescents. Children and adolescents comprise a unique population group due their rapid growth rates, high nutritional requirements, the immaturity of their immune system in early life, and their susceptibility to infectious diseases. The aim of the present study is to investigate the role and limitations of the administration of biotics in specific conditions affecting children and adolescents. A narrative review of related articles published on PubMed up to October 2023 was conducted. The administration of biotics has been evaluated in several health conditions among children and adolescents, such as the treatment and prevention of infectious diarrhea, the prevention of diarrhea after the use of antibiotics, the prevention of necrotizing enterocolitis, the treatment of functional gastrointestinal diseases, such as infant colic, functional abdominal pain, and irritable bowel syndrome, the eradication of H. pylori, the treatment of ulcerative colitis and pouchitis, and the prevention of atopic dermatitis, and the findings indicate improved symptoms and various beneficial health outcomes. However, some limitations have been identified regarding probiotics’ use. In conclusion, biotics may have a beneficial impact in several health conditions among children and adolescents. There is a need for additional randomized, controlled clinical studies on the effects of the administration of biotics in children and particularly in adolescents and young adults.
EFFECTIVENESS OF HEALTH EDUCATION WITH FLIPCHART MEDIA ON IMPROVING QUALITY OF LIFE AND DIET COMPLIANCE IN HYPERTENSION PATIENTS

Introduction. The problem is, there are still many hypertension sufferers who don't take care of their diet that which can affect the condition and lead to complications that impact on quality of life. The purpose of this study was to determine the effectiveness of health education using flipchart media to improve quality of life and dietary compliance in hypertensive patients. Method. This research is a pre-experimental study with the "One Group Pretest-Posttest design without control" approach. The sample is 18 elderly who suffer from hypertension. Analysis to find out the difference in average hypertension sufferers before and after health education was carried out using the Wilcoxon signed ranks test. Results & Analysis. The Wilcoxon test showed a P value = 0.000 (P<0.05), there was an effect of health education on quality of life and dietary adherence. Discussion. Hypertensive patients can make strides in their quality of life and dietary commitment after being given well-being instruction utilizing flipchart media, usually upheld by the capacity to tune in mindfully and communicate well to encourage decision-making approximately utilizing methodologies to make strides in the quality of life.
Serum Anti-CCNY Autoantibody Is an Independent Prognosis Indicator for Postoperative Patients with Early-Stage Nonsmall-Cell Lung Carcinoma

Cyclin Y (CCNY) is a novel cyclin and almost nothing is known about its role in human cancers. To investigate the clinical significance of serum anti-CCNY autoantibodies in nonsmall-cell lung carcinoma (NSCLC), the serum levels of CCNY protein in 264 patients with NSCLC, 103 patients with tuberculosis, and 89 healthy controls were analyzed by immunohistochemistry. The result shows that, compared with normal lung tissues, the NSCLC tissues contained higher levels of CCNY protein. The levels of anti-CCNY autoantibodies were higher in the sera of the patients with NSCLC than in the sera of the healthy controls (P < 0.001) or the patients with tuberculosis (P = 0.027). Moreover, in a Cox regression analysis, anti-CCNY autoantibody was an independent factor that predicted poor prognosis for postoperative patients with early-stage NSCLC (P = 0.026) as well as for those with distant metastasis (P = 0.012). Our data indicated that Anti-CCNY autoantibody may be useful as a latent tumor marker to facilitate diagnosis and may represent a novel prognostic indicator for patients with early stage NSCLC.