Miracle-dz/UniFAR-FTUs huggingface dataset:
Reviewing tourism and natural resource research in the Arctic: towards a local understanding of sustainable tourism in the case of South Greenland

ABSTRACT Tourism and natural resources are rapidly changing in the Arctic. Human activities and climate change are transforming natural landscapes and affecting populations of wildlife, while remote Arctic destinations that were previously regarded as inaccessible and unattractive are being engulfed by the global increase in tourism. In parallel with these developments, the concept and practice of “sustainable tourism” is gaining weight. Connecting these two trends raises multiple questions, including how tourism affects natural resources in the Arctic and whether sustainable Arctic tourism is possible. We conduct a systematic review of scientific publications connecting tourism and natural resources in the Arctic in order to shed light on the environmental dimensions of sustainable tourism. Based on our review, we highlight the multidirectional relationship between tourism and natural resources, and we use southern Greenland as a concrete example of an Arctic destination to which we tie our discussion of “sustainable tourism” in both theory and practice. We conclude that framing sustainable tourism as a relative and comparative concept specific to the time, place and type of tourism activity, rather than as a set of general and ideal criteria, might be more applicable and meaningful in research and as a development strategy for tourism destinations.
3D Baskılı Termoplastik Poliüretan Esnek Dönme Mafsalının Direngenlik Karakterizasyonu

The aim of this study is to determine and compare the torsional stiffnesses of the revolute compliant joints that are made of thermoplastic polyurethane (TPU) material. By setting up a sensitive measurement system, tilt angles were measured at different loading values for four samples and the reaction moments are determined to calculate experimental torsional stiffness. The results of the theoretical model based on a cantilever plate model is in general compatible with the experimental results. The effect of the compliant hinge geometric parameters on the results are discussed. It is concluded that the proposed experimental setup can be used effectively in the measurement of the torsional stiffness of revolute compliant joints.
Bioelectricity production by using goat (Capra hircus) rumen fluid from slaughterhouse waste in mediator-less microbial fuel cells

ABSTRACT Microbial fuel cells (MFCs) grasped an outlook for bioelectricity production under global scenario. Many studies have highlighted the utilization of various wastes for electricity generation by this advantageous technology. In the present investigation, an H-type, two-chambered MFC was designed for bioelectricity production using Capra hircus rumen fluid collected from slaughterhouse, paddy straw as substrate, copper as anode, and zinc as cathode. The power output of single MFC was recorded to a maximum of 5.76 W and 8.49 W/m2. Effect of acetic acid as catholyte with concentration range (0.0–2.0%) was compared with air cathode. Acetic acid was found to enhance the power output at 2% concentration. Assessment for increased power output was carried out by connecting the four MFCs in series. MFC series performed well with a maximum power output of 67.24 W at 192 h with acetate as catholyte whereas 54.76 W for air cathode. The maximum power density achieved was 42.11 W/m2 for acetate in cathode and 34.39 W/m2 for air cathode. The MFCs developed with rumen consortia, hay as substrate, and Cu–Zn electrodes were found to be effective in bioelectricity production.
Integration of yoga in clinical psychiatric practice

The time has come to move towards a multi-disciplinary approach to mental health care. The department of Psychiatry, National Institute of Mental health and Neurosciences (NIMHANS), Bengaluru, India, has initiated such a multi-disciplinary approach to patient care. As a general norm, psychologists, social workers, psychiatric nurses and psychiatrists work together for the overall care of the patient. In addition to this, the role of Yoga is now being increasingly recognized and applied in mental health. Our honourable prime minister alluded to yoga in his speech at the United Nations in 2014 that made a significant impact. Moreover, the UN accorded recognition to Yoga and the world celebrates the International Day of Yoga on June 21 every year. This event has created a unifying effect on the world community and Yoga has gained popularity even among research scientists. In the last 10 years, the number of research articles on yoga have increased exponentially. A good number of scientific journals encourage publications on yoga. NIMHANS has set up a Department of Integrative Medicine. Yoga, Ayurveda and modern medicine services are available under the same roof. Illustrated below are some applications of integrating yoga in clinical psychiatry.
Is iron nitride or carbide highly active for oxygen reduction reaction in acidic medium

Currently, iron nitride (Fe2N) and iron carbide (Fe3C), which are regarded as the new non-precious metal electrocatalysts for the oxygen reduction reaction (ORR) with high activity and stability in acidic medium, are attracting increasing attention. Herein, by systematic comparison of the ORR activities for Fe2N- and Fe3C-based catalysts designed with or without a solid nitrogen source, we found that only the former is highly active for ORR while the latter is quite poorly active despite their similar crystalline phases. This result indicates that the Fe–N related species are responsible for the high ORR activities of the Fe-based catalysts, similar to the case of Fe/N/C catalysts. Density functional theory calculations demonstrate that the Fe–N4/C moiety has a far superior ORR activity to that of Fe2N and Fe3C. The experimental and theoretical results mutually support that the high activities of the Fe-based catalysts originate from Fe–Nx/C moieties (x ≥ 4) rather than Fe2N or Fe3C phases, which is significant for exploring advanced Fe-based electrocatalysts.
Climatic Controls on Mean and Extreme Streamflow Changes Across the Permafrost Region of Canada

Climatic change is affecting streamflow regimes of the permafrost region, altering mean and extreme streamflow conditions. In this study, we analyzed historical trends in annual mean flow (Qmean), minimum flow (Qmin), maximum flow (Qmax) and Qmax timing across 84 hydrometric stations in the permafrost region of Canada. Furthermore, we related streamflow trends with temperature and precipitation trends, and used a multiple linear regression (MLR) framework to evaluate climatic controls on streamflow components. The results revealed spatially varied trends across the region, with significantly increasing (at 10% level) Qmin for 43% of stations as the most prominent trend, and a relatively smaller number of stations with significant Qmean, Qmax and Qmax timing trends. Temperatures over both the cold and warm seasons showed significant warming for >70% of basin areas upstream of the hydrometric stations, while precipitation exhibited increases for >15% of the basins. Comparisons of the 1976 to 2005 basin-averaged climatological means of streamflow variables with precipitation and temperature revealed a positive correlation between Qmean and seasonal precipitation, and a negative correlation between Qmean and seasonal temperature. The basin-averaged streamflow, precipitation and temperature trends showed weak correlations that included a positive correlation between Qmin and October to March precipitation trends, and negative correlations of Qmax timing with October to March and April to September temperature trends. The MLR-based variable importance analysis revealed the dominant controls of precipitation on Qmean and Qmax, and temperature on Qmin. Overall, this study contributes towards an enhanced understanding of ongoing changes in streamflow regimes and their climatic controls across the Canadian permafrost region, which could be generalized for the broader pan-Arctic regions.
THE MODELING OF "MUSTAHIQ" DATA USING K-MEANS CLUSTERING ALGORITHM AND BIG DATA ANALYSIS (CASE STUDY: LAZ)

There are a lot of Mustahiq data in LAZ ( Lembaga Amil Zakat ) which is spread in many locations today. Each LAZ has Mustahiq data that is different in type from other LAZ. There are differences in Mustahiq data types so that data that is so large cannot be used together even though the purpose of the data is the same to determine Mustahiq data. And to find out whether the Mustahiq data is still up to date (renewable), of course it will be very difficult due to the types of data types that are not uniform or different, long time span, and the large amount of data. To give zakat to Mustahiq certainly requires speed of information. So, in giving zakat to Mustahiq , LAZ will find it difficult to monitor the progress of the Mustahiq . It is possible that a Mustahiq will change his condition to become a Muzaki . This is the reason for the researcher to take this theme in order to help the existing LAZ to make it easier to cluster Mustahiq data. Furthermore, the data already in the cluster can be used by LAZ managers to develop the organization. This can also be a reference for determining the zakat recipient cluster to those who are entitled later. The research is "Modeling using K-Means Algorithm and Big Data analysis in determine Mustahiq data ". We got data Mustahiq with random sample from online and offline survey. Online data survey with Google form and Offline Data survey we got from BAZNAS (National Amil Zakat Agency) in Indonesia and another zakat agency (LAZ) in Jakarta. We conducted by combining data to analyzed using Big Data and K-Means Algorithm. K-Means algorithm is an algorithm for cluster n objects based on attributes into k partitions according to criteria that will be determined from large and diverse Mustahiq data. This research focuses on modeling that applies K-Means Algorithms and Big Data Analysis. The first we made tools for grouping simulation test data. We do several experimental and simulation scenarios to find a model in mapping Mustahiq data to developed best model for processing the data. The results of this study are displayed in tabular and graphical form, namely the proposed Mustahiq data processing model at Zakat Agency (LAZ). The simulation result from a total of 1109 correspondents, 300 correspondents are included in the Mustahiq cluster and 809 correspondents are included in the Non- Mustahiq cluster and have an accuracy rate of 83.40%. That means accuracy of the system modeling able to determine data Mustahiq . Result filtering based on Gender is “Male” accuracy 83.93%, based on Age is ”30-39” accuracy 71,03%, based on Job is “PNS” accuracy 83.39%, based on Education is “S1” accuracy 83.79%. The advantaged of research expected to be able to determine quickly whether the person meets the criteria as a mustahik or Muzaki for LAZ ( Amil Zakat Agency). The result of modeling is K-Means clustering algorithm application program can be used if UIN Syarif Hidayatullah Jakarta want to develop LAZ ( Amil Zakat Agency) too.
Synthesis and evaluation of β-cyclodextrin-functionalized hydrophobically associating polyacrylamide

Modified β-cyclodextrin and N-phenethyl-methacrylamide were utilized to react with acrylamide and acrylic acid to synthesize hydrophobically associating polyacrylamide (HMPAM) via photoinitiated free-radical micellar copolymerization. HMPAM was characterized using Fourier transform infrared (FT-IR) spectroscopy, 1H nuclear magnetic resonance (1H NMR), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and viscometry. Compared with partially hydrolyzed polyacrylamide (HPAM), HMPAM demonstrated superior properties on aspects of thickening ability, salt tolerance, temperature resistance and oil displacement efficiency. It was found that the apparent viscosity reached a maximum at 45 °C and the viscosity retention ratio reached 87.56% at 95 °C; at a certain range of salinity, HMPAM exhibited an evident salt-thickening phenomenon; the simulative enhanced oil recovery tests illustrated that HMPAM could remarkably enhance oil recovery by 16.4% while HPAM could enhance oil recovery by 10.8%. Moreover, the viscoelasticity and surfactant compatibility of HMPAM were investigated. The results indicated that HMPAM has potential application for enhanced oil recovery.
The MEK inhibitor U0126 ameliorates diabetic cardiomyopathy by restricting XBP1's phosphorylation dependent SUMOylation

Background: Chronic diabetes accelerates vascular dysfunction often resulting in cardiomyopathy but underlying mechanisms remain unclear. Recent studies have shown that the deregulated unfolded protein response (UPR) dependent on highly conserved IRE1α-spliced X-box- binding protein (XBP1s) and the resulting endoplasmic reticulum stress (ER-Stress) plays a crucial role in the occurrence and development of diabetic cardiomyopathy (DCM). In the present study, we determined whether targeting MAPK/ERK pathway using MEK inhibitor U0126 could ameliorate DCM by regulating IRE1α-XBP1s pathway. Method: Three groups of 8-week-old C57/BL6J mice were studied: one group received saline injection as control (n=8) and two groups were made diabetic by streptozotocin (STZ) (n=10 each). 18 weeks after STZ injection and stable hyperglycemia, one group had saline treatment while the second group was treated with U0126 (1mg/kg/day), 8 weeks later, all groups were sacrificed. Cardiac function/histopathological changes were determined by echocardiogram examination, Millar catheter system, hematoxylin-eosin staining and western blot analysis. H9C2 cardiomyocytes were employed for in vitro studies. Results: Echocardiographic, hemodynamic and histological data showed overt myocardial hypertrophy and worsened cardiac function in diabetic mice. Chronic diabetic milieu enhanced SUMOylation and impaired nuclear translocation of XBP1s. Intriguingly, U0126 treatment significantly ameliorated progression of DCM, and this protective effect was achieved through enriching XBP1s' nuclear accumulation. Mechanistically, U0126 inhibited XBP1s' phosphorylation on S348 and SUMOylation on K276 promoting XBP1s' nuclear translocation. Collectively, these results identify that MEK inhibition restores XBP1s-dependent UPR and protects against diabetes-induced cardiac remodeling. Conclusion: The current study identifies previously unknown function of MEK/ERK pathway in regulation of ER-stress in DCM. U0126 could be a therapeutic target for the treatment of DCM.
Guiding the Students in High School by Using Machine Learning

Machine learning is considered the most significant technique that processes and analyses educational big data. In this research paper, many previous papers related to analysing the educational big data that uses a lot of artificial intelligence techniques were studied. The purpose of the study is to identify weaknesses and gaps in previous researches. The results showed that many researches highlighted early expectations for academic performance. Unfortunately, no one thought of finding an effective way to guide high schooled students to reach their appropriate majors that can be suitable to their abilities. Those students need to be guided to pass this sensitive phase with high efficiency and good results. Thus, this school level is considered as the starting point for students’ academic lives, professional, and future success.
ASSESSMENT OF OLIVE LEAVES EXTRACT – CYTOTOXICITY IN VITRO AND ANGIOGENESIS IN OVO

In this study, it was determined the composition of the olive leaves ethanolic extract by LC-MS, the in vitro cytotoxicity on A375 human melanoma cells was established, by means of the MTT assay (number of viable cells), the Annexin V-FITC assay (number of apoptotic cells) and in vivo irritant and toxic potential by chorioallantoic membrane assay. The extract contains a number of polyphenols, among which luteolin and rutin are the predominant compounds and triterpenic acids with a significant ursolic acid content. At the highest concentration tested, 100 μg/mL, it was noted an important cytotoxic effect on human melanoma cells, it influences the development of growing capillaries, it induces narrowed calibre vessels, but no signs of toxicity on HET-CAM were recorded, while 24 h after treatment, the extract expressed a stronger effect, upon both tumour cell growth and the vascularization of A375 melanoma cells on in vivo test.
Parameterizing the Impact of Seawater Temperature and Irradiance on Dimethylsulfide (DMS) in the Great Barrier Reef and the Contribution of Coral Reefs to the Global Sulfur Cycle

Biogenic emissions of dimethylsulfide (DMS) are an important of to the for and Natural sources constitute the largest in estimates of aerosol radiative and and thus, an improved understanding of DMS sources is needed. Coral reefs are strong point sources of however, this coral of is model simulations. reefs We to the representation of tropical coral reefs in DMS databases by calculating a climatology of seawater DMS concentration (DMS w ) and sea-air flux in the Great Barrier Reef (GBR), Australia. DMS w is calculated from remotely sensed observations of sea surface temperature and photosynthetically active radiation using a multiple linear regression model derived from field observations of DMS w in the GBR. We estimate that coral reefs and lagoon waters in the GBR ( ) release 0.03–0.05 Tg yr of DMS (0.02 Tg yr of sulfur). Based on this estimate, global tropical coral reefs ( 600,000 could emit 0.08 Tg yr of
WOOD ANATOMICAL STUDIES REVEAL TAXONOMIC RELATIONSHIPS, ENVIRONMENTAL INFLUENCE AND PULP POTENTIAL IN FOUR TAXA OF Mussaenda (RUBIACEAE) GROWN IN NIGERIA

Current study was carried out to assess the taxonomic, ecological significance, and paper making potential of four taxa of Mussaenda L. (Rubiaceae) viz., M. elegans, M. erythrophylla, M. philippica var. aurorae, and M. ‘Dona Aurora’ through wood anatomical studies. Each of the taxa was collected from its natural region of provenance in two different ecological zones (Derived Savanna and Tropical Rainforest) of Nigeria. Observations from different planes of sections were made and wood maceration was carried out for fibre morphology. Absent to scanty paratracheal axial parenchyma, septate fibres, pitted vessels, storied heterocellular rays, and simple perforation plates were common features in all taxa. However, multiseriate and wider rays distinguished the exotic species from the indigenous species, and the semi-diffuse porous wood pattern was a unique feature in M. ‘Dona Aurora’. Quantitative data showed considerable variations in case of fibre lengths among the four taxa i.e. M. elegans, M. erythrophylla, M. philippica var. aurorae, and M. ‘Dona Aurora’ and was recorded 0.80 ± 0.02 µm, 0.70 ± 0.05 µm, 0.65 ± 0.03 µm and 0.64 ± 0.04 µm respectively. These observations showed that all species belong to Wood Type II of Rubiaceae and support their inclusion in the Tribe Mussaendeae and Order Ixoroideae. The influence of environmental factors was evident in the significant elongation of wood vessels of samples collected from more humid areas, but with no significant effect on their paper-making potential. More so, M. “Doña Aurora”, had general scores, would be most suitable for pulp and paper making.
End-to-end forecasting of needle trajectory in percutaneous ablation

Percutaneous techniques are becoming more widely adopted for treating solid organ tumours. With many of these techniques using image guidance, accuracy is essential to reduce the risk of complications and tumour recurrence. We propose a novel approach to needle trajectory forecasting using a 3D U-Net trained on interventional computed tomography (iCT) images from renal cryoablation procedures. The U-Net is trained to predict future needle locations from present iCT images, supervised by ground truth labels at future time points. Furthermore, we demonstrate that forecasting needle trajectory may be substantially improved by Monte Carlo dropout (MCDO), in addition to generating uncertainty maps of the predictions. With 122 training iCT volumes, a Dice coefficient of 0.48 on highly elongated needle morphology was achieved based on 41 unseen test cases, significantly outperforming two models not using MCDO at inference with Dice scores of 0.14 and 0.32. MCDO also greatly improved the predicted needle morphology and was able to incorporate directional information into the predictions. Our approach shows promise for improving accuracy and workflow in image-guided procedures, with an interesting research direction to predict uncertain future interventional events by ensemble in supervised approaches.
Macroecological patterns of forest structure and allometric scaling in mangrove forests

Andre S. Rovai1,2 | Robert R. Twilley1 | Edward CastañedaMoya3 | Stephen R. Midway1 | Daniel A. Friess4 | Carl C. Trettin5 | Jacob J. Bukoski6 | Atticus E.L. Stovall7 | Paulo R. Pagliosa2 | Alessandra L. Fonseca2 | Richard A. Mackenzie8 | Aslan Aslan9 | Sigit D. Sasmito10,11 | Mériadec Sillanpää4,12 | Thomas G. Cole13 | Joko Purbopuspito14 | Matthew W. Warren15 | Daniel Murdiyarso11,16 | Wolfram Mofu17 | Sahadev Sharma18 | Pham Hong Tinh19 | Pablo Riul20
Jewish Heritage Tourism in Krakow. Authenticity and Commodification Issues

Tourism destinations located within rich and complex cultural contexts tend to offer a wide range of different experiences to visitors, spanning from standardized to more alternative ones. The quest for authenticity is central in the construction of tourism image and business, but easily raises questions related to appropriation, commercialization and trivialization. This study focuses on Jewish heritage tourism, a niche segment gradually turning into a mass tourism experience, through a qualitative research made in Krakow, Poland. Jewish-themed tourism in the area has gone through intense growth in spite of its dwindling Jewish population. As a consequence, the representation and consumption of the related heritage mostly occurs independently from the Jewish community itself and shows clear signs of commercial exploitation. The study results show that, in spite of the issues related to simplified narratives and staged practices, commodification, with its partial and functional reconstruction of the past, does not interfere with the religious or secular activities of the Jewish community, which is more pragmatically focused on present-day life.
STRUCTURE AND RHEOLOGY OF GELATIN GELS

AbstractThis paper is essentially a review of past work, including structural and rheologicai studies on gelatin gels and progress made in the last decade or so. Now many aspects of gelatin gelation are unchallenged. For example, it seems clear that the helical junction zones do not have a large cross-sectional radius of gyration, and both the gel modulus, and the absolute optical rotation appear to increase slowly, but without limit, even when plotted on a log time axis. The implications of such work are summarized.Other topics of current interest include the nature of gelatin gels at very long times (creep vs. dynamic measurements), large deformation measurements, mixed chemically and physically cross-linked samples, and also the future of bovine gelatin and the development of novel sources following the BSE crisis. These topics are discussed in terms of the author’s view of recent progress in, and future prospects for, gelatin research.