Miracle-dz/UniFAR-FTUs huggingface dataset:
What is it about coral reefs? Translation of ecosystem goods and services relevant to people and their well-being

There is an astonishing diversity of ways in which people benefit from coral reefs. They provide recreation, resource extraction, inspirational, and educational opportunities, among many others as well as being valued just for their existence. As the condition of coral reef ecosystems decline, so do their ability to provide these benefits. Prudent management of coral reefs and the benefits they provide are important as some predict most coral reefs globally will be lost by the mid-21st century. Meanwhile, coral reef managers have limited tools and relevant data to design and implement effective environmental management practices that will enable coral reefs to provide benefits demanded by society. We demonstrate an approach to identify and measure environmental components of coral reefs that directly benefit human well-being. The approach views ecosystems through the lens of a specific set of beneficiaries and the biophysical features directly relevant to each. We call these biophysical features Final Ecosystem Goods and Services (FEGS). In our demonstration, we (1) identify a range of beneficiaries of coral reefs; (2) identify metrics of FEGS for those beneficiaries; and (3) describe how data quantifying those biophysical metrics might be used to facilitate greater economic and social understanding.
Magnetic Refrigeration Design Technologies: State of the Art and General Perspectives

Magnetic refrigeration is a fascinating superior choice technology as compared with traditional refrigeration that relies on a unique property of particular materials, known as the magnetocaloric effect (MCE). This paper provides a thorough understanding of different magnetic refrigeration technologies using a variety of models to evaluate the coefficient of performance (COP) and specific cooling capacity outputs. Accordingly, magnetic refrigeration models are divided into four categories: rotating, reciprocating, C-shaped magnetic refrigeration, and active magnetic regenerator. The working principles of these models were described, and their outputs were extracted and compared. Furthermore, the influence of the magnetocaloric effect, the magnetization area, and the thermodynamic processes and cycles on the efficiency of magnetic refrigeration was investigated and discussed to achieve a maximum cooling capacity. The classes of magnetocaloric magnetic materials were summarized from previous studies and their potential magnetic characteristics are emphasized. The essential characteristics of magnetic refrigeration systems are highlighted to determine the significant advantages, difficulties, drawbacks, and feasibility analyses of these systems. Moreover, a cost analysis was provided in order to judge the feasibility of these systems for commercial use.
Fertilization modifies forest stand growth but not stand density: consequences for modelling stand dynamics in a changing climate

Knowledge of the maximum forest stand density and the self-thinning process is important for understanding, modelling and scheduling thinnings in silviculture. The upper trajectories of stem number, N, vs mean diameter, dq or mean tree volume vs stem number are often used for quantifying maximum stand density. The long debate about how site conditions modify these relationships is presently revived due to global change. A crucial question is whether environmental conditions alter the trajectories themselves or just the velocity at which stands move along them. Our contribution is based on fully stocked plots from long-term Scots pine (Pinus sylvestris L.) fertilization experiments along an ecological gradient in South Germany. This allows us to compare the self-thinning trajectories of fertilized and unfertilized plots under different environmental conditions. We can show that repeated fertilization with nitrogen did not change the N ~ dq trajectories. Assuming that fertilization affects forests in a similar way as an ongoing atmospheric N-deposition, this means that presently growth, mortality, and volume accumulation in forest stands proceed faster in time but still follow the same N ~ dq allometric trajectories. Furthermore, we found that the level of the self-thinning line generally increases with the annual precipitation. The allometric self-thinning exponent, however, did not respond to environmental conditions. Finally, we quantitatively demonstrate and discuss the implications and consequences of the results regarding understanding and modelling forest stand dynamics, carbon sequestration and the development and adaptation of silvicultural guidelines in view of climate change.
Optical distortion calibration using machine-learning for exoplanet detection

Detecting exoplanets and measuring their masses is a priority for astrophysics. Stellar astrometry is capable of detecting and unequivocally measure exoplanet masses, solving the system inclination ambiguity that constrains the accuracy of radial velocity techniques. The astrometric signal of an Earth-like planet around nearby stars is around ∼ 1 micro-arcsecond (μas), while current instrumentation (Hubble, GAIA) reaches 25 μas at best. After photon noise, the main limiting factor to measure such astrometric signals is related to the optical distortions that arise from small deformations of the optical system. A novel technique, called diffractive pupil, allows to obtain distortion-calibrated astrometry vectors from the image. Currently, analytical methods are being used to extract the distortion map from the diffractive features. However, different sources of noise limit the accuracy of the algorithm. In this paper, we test the ability of machine learning to detect telescope pointing errors and astrometry signals injected in simulated images, as a first step towards distortion calibration correction using machine learning. Our image simulator generates a star field modified by telescope pointing errors, optical distortion, and common noise sources such as photon noise, flat field, read out, and dark current. We evaluate the performance of legacy analytical algorithms for astrometry and compare it with the results of machine learning runs. We find that this type of algorithms show better results than the analytical approach by two orders of magnitude when detecting astrometric signals in images with telescope pointing error perturbations, achieving a Mean Absolute Error (MAE) of ∼ 1.7 × 10−6 px for the predicted target star translations in comparison with the ∼ 5 × 10−4 px MAE obtained by the traditional approach.
Developing Blended Learning Teaching Model through Online Social Media Platform as Learning’s Support

Technology develops rapidly and it affects the technology development at physical, health, and recreation education study program of IKIP Budi Utomo as this year they uses combination learning approach. Students can study anywhere, anytime, and with whomever. To support the current availability of the facilities, the lecturers are required to develop various learning plan models which are easy and comprehensive; one of them is Blended Learning Model. The objective of this research is to develop blended learning model teaching scenario plan and develop blended learning application using social media as the media to ease the teaching and learning process. Online social media were chosen as the basic platform to distribute learning materials and communicate online because of the determinations of usage affordability, effectiveness, and familiarity. The development of blended learning scenario and application used ADDIE Model because it was a general/common learning system model and one of product development models. There is evaluation in each step of ADDIE model. Evaluation is done through validation process and the collected data were analyzed using percentage technique, they are: per item data tabulation and whole data tabulation. Based on the research result, it could be concluded that the percentage of Blended Learning Teaching Scenario developed was considered as appropriate and able to improve the students’ comprehension significantly.
Matrix Factorization Based Recommendation Algorithm for Sharing Patent Resource

SUMMARY As scientiﬁc and technological resources are experiencing information overload, it is quite expensive to ﬁnd resources that users are interested in exactly. The personalized recommendation system is a good candidate to solve this problem, but data sparseness and the cold starting problem still prevent the application of the recommendation system. Sparse data a ﬀ ects the quality of the similarity measurement and consequently the quality of the recommender system. In this paper, we propose a matrix factorization recommendation algorithm based on similarity calculation(SCMF), which introduces potential similarity relationships to solve the problem of data sparseness. A penalty factor is adopted in the latent item similarity matrix calculation to capture more real relationships furthermore. We compared our approach with other 6 recommendation algorithms and conducted experiments on 5 public data sets. According to the experimental results, the recommendation precision can improve by 2% to 9% versus the traditional best algorithm. As for sparse data sets, the prediction accuracy can also improve by 0.17% to 18%. Besides, our approach was applied to patent resource exploitation provided by the wanfang patents retrieval system. Experimental results show that our method performs better than commonly used algorithms, especially under the cold starting condition.
Design of a Thermal Hotel Based on AHP-QFD Methodology

The aim of this investigation was to help select design criteria that highlight customer satisfaction, and thus improve the design quality in buildings, specifically in a building of a thermal hotel. The methodology is based on applying the Quality Function Deployment (QFD) technique to listen to the voice of the customer, in addition to the Analytic Hierarchy Process (AHP), which allows selection of the best design alternative. The literature shows that QFD–AHP methods have been tried in different areas of the building industry, but there are few examples of combining building design processes. In the study process, collaboration environments between stakeholders were established and the operability of the method used was tested with real actors. The matrix solutions realised in the horizontal and vertical sections of the framework of the model can be reused in different projects with different user demands. This added a modular and developable feature to the model. This study revealed that the most important customer needs, in order of importance, are “health”, “service”, “comfort”, and “functionality”. These are followed by “accessibility”, “aesthetics”, and “energy conservation”. According to the findings, QFD was shown to be an appropriate method for transferring customer (occupant) requirements to designs in the most accurate manner, given the complex structure of thermal hotel buildings.
Quality of life of the youth: assessment methodology development and empirical study in human capital management

Abstract Based on existing approaches to assessing the quality of life and similar concepts in human capital management, a quality of life index for young people is proposed. It takes into account the factors of four groups that determine the subjective satisfaction with the quality of life: Economic environment; Socio-political environment; Social environment; Natural environment. Partial factors and their corresponding quality of life indicators are adapted to the assessments of young people, whose needs and interests differ significantly from other age groups due to differences in the values of generations and features of economic activity at a young age. The methodology developed by the authors is based on taking into account subjective assessments of the level of satisfaction with quality of life factors, as well as their importance based on the determination of weights. As a result of testing the methodology, it was found that the most important factors for a positive perception of quality of life are the social environment, in particular, family relationships and health. Economic and environmental factors have approximately the same effect. Socio-political environment factors have the least influence. Due to material well-being and the quality of socio-political life, satisfaction with the life of employed youth is slightly higher (by 3%). Instead, respondents who do not work are more satisfied with social comfort. The integrated index of quality of life of the interviewed youth is 3,438 points out of 5 maximum. The methodology and results of the assessment are useful for the development of national and regional programs and strategies of human capital development due to increase the level of satisfaction of material, spiritual and cultural needs of young people.
The effect of probiotics on depressive symptoms: A meta-analysis of randomized controlled trails

Increasing evidence indicates bidirectional communication occurs between the gut and the brain via the microbiome-gut-brain axis. Accordingly, several studies point to a positive effect of probiotics on depressive symptomatology. Our study aimed to provide an updated meta-analysis on the subject. We conducted a systematic search for randomized clinical trials in multiple databases. Data analysis was performed using the Review Manager 5.4. We reviewed 26 studies, totaling 2,170 participants. The use of probiotics had a significant effect in reducing depressive symptoms (SMD: - 0.22; 95% CI: - 0.30 to - 0.13; p < 0.0001) compared to placebo. Subgroup analyses showed that probiotics influenced outcomes in participants with depression (SMD: - 0.67; 95% CI: - 0.93 to - 0.41; p < 0.00001) and with other clinical diagnoses (SMD: - 0.23; 95% CI: - 0.36 to - 0.09; p = 0.0008) but not healthy participants (SMD: - 0.11; 95% CI: - 0.23 to 0.02; p = 0.100). The use of probiotics can be a promising approach in improving the treatment of depression. It is important to conduct further studies to better assess the efficacy of probiotic as an adjuvant treatment to antidepressant medications, as well as their most effective dosages.
Impact of phenolic compounds on free amino acid contents and electrophoretic patterns of the Nile Tilapia, Oreochromis niloticus

The present research was designed to determine the free amino acids (FAAs) composition and electrophoretic protein patterns by using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) in Oreochromis niloticus exposed to 1/10 LC50-96 hrs of phenol and nonylphenol ethoxylate 9 (NPEO 9) under laboratory condition for 4 weeks, in an attempt to develop sensitive bio-indicators for evaluation of pollution effects. Variations of FAAs were apparent in both treated groups. Significant increases were recorded in all individual amino acids including essential and non-essential ones, except for proline for both treated groups and leucine for phenol exposed fish group where they decreased significantly. The electrophoretic analysis of protein of the skeletal muscle homogenate using SDS-PAGE indicated that the control group yielded 10 fractions of molecular masses between 166 and 23 kDa. A total number of 9 bands were separated from fish of phenol group; they were varied from 168 to 23 kDa. However, 6 bands only were separated from fish of the NPEO 9 group; they were varied from 157 to 28 kDa. The muscle protein extract from fish of the phenol group showed five unique bands (168, 96, 68, 52, and 39 kDa). Moreover, fish that were exposed to NPEO 9 group showed three unique bands (157, 92, and 72 kDa). The highest similarity index "S" value observed between phenol and control groups was 0.37, followed by 0.33 between NPEO 9 group and the control one. This could be an indicator of changes in protein metabolism due to phenol and NPEO 9 pollution.
Clonidine as an adjuvant to 0.25% bupivacaine and 0.25% levobupivacaine in supraclavicular brachial plexus block: Post-operative hemodynamics

Children are not men or women; they are like angels; in many respects, as if they never were to be the one or the other; they are as unlike as buds are unlike as flowers, and almost as blossoms are unlike. (W.S. LANDOR) A variety of skin infection may occur in children in the school age group. As children are inquisitive and mobile, they come into contact with a variety of people and animals. The close proximity in the school setting provides opportunity to be exposed to infectious agents (viruses, bacteria, fungus, insects and animals) in addition; children tend to share personal items. Chickenpox occurs worldwide and is endemic in large cities. Outbreaks occur sporadically, usually in areas with large groups of susceptible children. It affects all races and both sexes equally. It can occur at any age, but it is most common among children between age group 2 to 8. Skin diseases are common in children and about 30% of paediatric OPD attendance is accounted by these conditions. Skin disorders are associated with manifestations of many systemic and hereditary diseases. Chickenpox is a worldwide disease and is no respecter race or class. The incidence increases in spring & winter months in the temperate zones. In the tropics, the peak incidence is during winter and early spring. The disease in fact started spreading from February itself. Lack of knowledge among common people on preventing water contamination is helping the virus to spread rapidly.
Antimicrobial Efficacy of Vitellaria paradoxa fractions and compounds on some wood Fungi and Bacteria

This study examined antifungal efficacy of Vitellaria paradoxa fractions and compounds in the control of some wood degrading fungi. Stem bark and heartwood parts of Vitellaria paradoxa were collected, dried, pulverised and macerated sequentially in n- hexane, methanol and ethyl acetate solvents. The mixtures were filtered, evaporated and the dried samples were mixed and run over silica gel in column chromatography with a mixture of n -hexane and ethyl acetate solvents to obtain fractions. The fractions collected were evaporated and those with white needles were subjected to Magnetic Resonance (NMR) spectroscopic analysis. Spinasterol was isolated and characterised from the heartwood fraction while the stem bark fractions were fatty. Vitellaria paradoxa fractions were active against Serpula lacrymans, Sclerotium rolfsii, Aspergillus fumigatus, Fomitopsis pinicoca, Phaeolus schweinitzii, Rhizopus sp. , Coniophora puteana, Gloeophyllum sepiarium, and Fibroporia vaillantii at zones of inhibition (ZOI) of 18 mm - 24 mm. Although the antibiotics were active (25 – 31 mm), they were found inactive against the Fomitopsis pinicoca fungus which was sensitive to all the V. paradoxa fractions at zones of inhibition of 18 - 24 mm. The minimum inhibitory concentrations (MIC) of the V. paradoxa fractions were active at 50 μg/mL against all test fungi. At minimum fungicidal concentration (MFC) of between 50 - 200 μg/mL, all the test fungi were killed. Based on the ZOI, MIC and MFC, the V. paradoxa stem bark heartwood fractions have been proven to be very efficient in inhibiting the growth of test wood rot fungi; hence the species could be explored as a potential source of bioactive fungicides.
Checking Only When It Is Necessary: Enabling Integrity Auditing Based on the Keyword With Sensitive Information Privacy for Encrypted Cloud Data

The public cloud data integrity auditing technique is used to check the integrity of cloud data through the Third Party Auditor (TPA). In order to make it more practical, we propose a new paradigm called integrity auditing based on the keyword with sensitive information privacy for encrypted cloud data. This paradigm is designed for one of the most common scenario, that is, the user concerns the integrity of a portion of encrypted cloud files that contain his/her interested keywords. In our proposed scheme, the TPA who is only provided with the encrypted keyword, can audit the integrity of all encrypted cloud files that contain the user’s interested keyword. Meanwhile, the TPA cannot deduce the sensitive information about which files contain the keyword and how many files contain this keyword. These salient features are realized by leveraging a newly proposed Relation Authentication Label (RAL). The RAL can not only authenticate the relation that files contain the queried keyword, but also be used to generate the auditing proof without sensitive information exposure. We give concrete security analysis showing that the proposed scheme satisfies correctness, auditing soundness and sensitive information privacy. We also conduct the detailed experiments to show the efficiency of our scheme.
Generalized Parametric Exponential Entropy Measure of degree on Fuzzy Set

There exist many well known parametric and non-parametric measures with their properties and application on the basis of literature survey of fuzzy information measure. For characterization and quantification of fuzzy uncertainty and vagueness, fuzzy entropy measure is used very frequently. For this we propose a new parametric exponential entropy measure on fuzzy set. After showing the validity of proposed entropy measure some properties are also given.
Development of black cumin seed oil (Nigella sativa L.) SNEDDS into solid-SNEDDS and its characterization

Black cumin seed oil (MBJH) ( Nigella sativa L .) is a well-known herb with pharmacology activities such as anticancer and anti-thrombocytopenia. The limitation of MBJH has poor absorption when using oral dosage form. The liquid SNEDDS (Self-nanoemulsifying drug delivery system) of MBJH as an alternative formulation. However, the disadvantage of liquid-SNEDDS of MJBH was the interaction between the active ingredients with soft gelatin capsules. Hence, this study proposed to develop solid-SNEDDS as a new formulation of MBJH. Solid-SNEDDS of MBJH was prepared from liquid-SEDDS of MBJH by adsorption to solid carrier method, consisting of aerosil and crospovidone as the adsorbent. The characterization of S-SNEDDS was determined by emulsification time and percent transmittance. Micromeritics properties of S-SNEDDS such as the angle of repose, bulk and tap density parameter, compressibility index, and Hausner ratio were measured before and after stored in stress condition (40 C ± 2 C and relative humidity of 75% ± 5% for 14 days). The result showed S-SNEDDS of MBJH with aerosil absorbent had better S-SNEDDS performance in both characteristics and micromeritics properties under stress conditions than crospovidone absorbent. In conclusion, the s-SNEDDS of black cumin oil by solid aerosil carrier method is promising for future research development of S-SNEDDS dosage form.
Exploring Women’s Experiences and Family Role Shifts Superseding a Breast Cancer Diagnosis

Abstract The purpose of this inquiry is to explore the family members’ experience in a family with a breast cancer survivor. This study examined family role shifts. Our research originated from two focus groups with eight breast cancer survivors in each group. The study findings revealed coping as a core theme, which was represented by the main umbrella theme, “Ambiguous Terror” and 7 subcategories on the individual level and on the relational level by “Struggling Well is Relational” and 8 subcategories. Our findings contributed to filling a gap in the literature related to shifting roles and ways to support family members.