Miracle-dz/UniFAR-FTUs huggingface dataset:
Art and Philosophy: Harmony of Giring-Giring Dance, Manganjan Dance, Tambun Bungai Dance of Kalimantan Tengah

The possibility of tradition collaborating with dance, music and performance art is an amazing art. However, it becomes problematic if the space to perform one of the parts of tradition, namely dance as an art or work in certain regions or localities, is still minimal. Either from the history of dances from certain regions, for example Central Kalimantan, especially the Ma'anyan Dayak community, or the method of usage or meaningful values in the form of ribut rukun, togetherness, care and exploration space. This research method uses a literature review that examines the results of previous studies as secondary sources, online media, and accompanying photos of dances originating from Central Kalimantan. The findings show that the Dayak Giring-Giring dance, Manganjan Dance and Tambun Bungai Dance have a variety of cultural richness, the meaning of friendship, as well as a rich history that must get space from generation to generation to the global community as a cultured, dignified, valuable and communal dance.
Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion

Potential drug-drug interactions (DDI) can lead to adverse drug reactions (ADR), and DDI prediction can help pharmacy researchers detect harmful DDI early. However, existing DDI prediction methods fall short in fully capturing drug information. They typically employ a single-view input, focusing solely on drug features or drug networks. Moreover, they rely exclusively on the final model layer for predictions, overlooking the nuanced information present across various network layers. To address these limitations, we propose a multi-scale dual-view fusion (MSDF) method for DDI prediction. More specifically, MSDF first constructs two views, topological and feature views of drugs, as model inputs. Then a graph convolutional neural network is used to extract the feature representations from each view. On top of that, a multi-scale fusion module integrates information across different graph convolutional layers to create comprehensive drug embeddings. The embeddings from the two views are summed as the final representation for classification. Experiments on two real-world datasets demonstrate that MSDF achieves higher accuracy than state-of-the-art methods, as the dual-view, multi-scale approach better captures drug characteristics.
Bi-Modal Oil Temperature Forecasting in Electrical Transformers using a Hybrid of Transformer, CNN and Bi-LSTM

-P ower consumption prediction is a tough task because of its fluctuating nature. If the expected demand is excessively high in comparison to the existing demand, the transformer may damage. Predicting the temperature of transformer oil is an efficient approach to verify the transformer's safety status. As a result, in this study, we offer a bimodal architecture for predicting oil temperature given a sequence of prior temperatures. Our model was tested using the Ettm1, Ettm2, and Etth1 datasets and achieved an RMSE of 0.41375, MAE of 0.3031 and MAPE of 8.292% on Ettm1 test dataset, an RMSE of 0.4105, MAE 0.3090 and MAPE of 6.678% on Ettm2 test dataset and an RMSE of 0.6762, MAE 0.4690 and MAPE of 11.23% on Etth1 test dataset.
Ultrasound-guided botulinum toxin injections of salivary glands in cerebral palsy children with sialorrhea

Objective: Excessive salivation and drooling are distressing problems that affect both children and their families. Salivary gland botulinum toxin injection is a widely studied therapeutic method for treating sialorrhea. The proper protocol for such treatment modality is an area of interest for researchers. This study set out to assess the success of ultrasound-guided botulinum toxin injections in either the submandibular or combined with parotid salivary glands for children with cerebral palsy suffering from sialorrhea, while also identifying factors that predict a positive treatment outcome. Method: This cross-sectional study included 30 children with cerebral palsy who have Sialorrhea. Ultrasound-guided botulinum toxin injections of submandibular salivary glands alone or combined with parotid glands were done. Drooling was evaluated using Drooling Rating Scale, Drooling Impact Scale, and 5-minute Drooling Quotient. Children were followed up weekly for 12 weeks after botulinum toxin injections. Result: All children showed a significant decline in drooling and sufficient caregivers’ satisfaction for the first 8 weeks after botulinum toxin injections, with gradual worsening of drooling later in 60% of children. Assessment scores were significantly lower in those who received combined parotid and submandibular injections than those who received submandibular gland injections alone. Changes in drooling scores have a significant negative correlation with the severity of motor disabilities. Conclusion: Submandibular salivary gland injection alone has a satisfactory response in decreasing drooling in children with cerebral palsy. However, a combined injection of both parotid and submandibular salivary glands gives a better response for at least 8 weeks without complications. This study not only addresses the clinical effectiveness of botulinum toxin injections in managing sialorrhea in children with cerebral palsy but also opens avenues for improved dietary strategies. Keywords: botulinum toxin; salivary gland; sialorrhea; cerebral palsy
Thermal Modeling and Electric Space Heating of a University Building in Newfoundland

Buildings play a substantial role in global energy consumption, constituting a considerable share of the overall energy use. In Canada, they contribute to around 25% of the total final energy consumption. Notably, space heating emerges as the primary energy consumer, accounting for approximately 57% of energy utilization in institutional and commercial buildings. This paper presents a feasibility analysis of converting the space heating system of the Core Science Facility (CSF) building of Memorial University of Newfoundland (MUN). Analysis is done using RETScreen Clean Energy Management Software, known as RETScreen Expert, a software package developed by the Government of Canada, and the thermal modeling of the building using Energy3D, developed by the National Renewable Energy Laboratory (NREL). The feasibility study indicates that significant savings can be achieved if space heating is switched to electric resistive heating. The results indicate a 24.2% savings in annual energy costs, with a simple payback period of 10.5 years. The simulation results from Energy3D are compared with the measured building energy consumption data provided by the MUN Facilities Management Department. The thermal model indicates less energy consumption than the actual measured values, which is a result of transmission losses, the interconnection between the CSF building and the University Center, building occupancy, the ventilation system, and degradation of equipment that are not considered in the model.
‘To Adopt or not to Adopt?’ Legume Adoption in Maize‐Based Systems of Northern Thailand: Constraints and Potentials

A considerable growth in the maize (Zea mays L.) sector in Southeast Asia has resulted in a rapid expansion and intensification of maize monoculture on sloping uplands. This practice entailed the heavy use of fertilisers, leading to environmental degradation and farmers' indebtedness. Intercropping of legumes with maize could complement or replace fertiliser inputs; however legume adoption by smallholder maize farmers remains low. This study investigates the constraints and potentials to integrate legumes in maize‐based cropping systems in such environments. A comparative study between maize monocropping and maize/legume relay cropping was carried out in two villages of Thailand, using surveys, participatory rural appraisal (PRA) tools and interviews. The results demonstrated that both cropping systems were equally profitable, although the maize yield in maize/legume relay cropping was lower than that in monocropping. Low selling price was the most cited reason by the non‐adopters for not introducing legumes. Selling price of legume grains, ease of harvesting, marketability and ease of growing were the four main criteria that determined the adopters' choice of legume species. Among the cultivated legumes, ricebean (Vigna umbellata L.) best fulfilled the criteria for the choice of legume species. Establishing maize/legume relay cropping as an alternative to maize monocropping under rainfed conditions can decrease risks, due to reduced expenses for farm inputs and similar economic returns. This study generated useful information for agricultural policy makers and development practitioners in identifying the barriers and facilitating factors that influence farmers' decision to adopt legumes and the conditions that shape the farmers' decision‐making environment. Copyright © 2016 John Wiley & Sons, Ltd.
Multifunctional Exosomes Derived from M2 Macrophages with Enhanced Odontogenesis, Neurogenesis and Angiogenesis for Regenerative Endodontic Therapy: An In Vitro and In Vivo Investigation

Introduction: Exosomes derived from M2 macrophages (M2-Exos) exhibit tremendous potential for inducing tissue repair and regeneration. Herein, this study was designed to elucidate the biological roles of M2-Exos in regenerative endodontic therapy (RET) compared with exosomes from M1 macrophages (M1-Exos). Methods: The internalization of M1-Exos and M2-Exos by dental pulp stem cells (DPSCs) and human umbilical vein endothelial cells (HUVECs) was detected by uptake assay. The effects of M1-Exos and M2-Exos on DPSC and HUVEC behaviors, including migration, proliferation, odonto/osteogenesis, neurogenesis, and angiogenesis were determined in vitro. Then, Matrigel plugs incorporating M2-Exos were transplanted subcutaneously into nude mice. Immunostaining for vascular endothelial growth factor (VEGF) and CD31 was performed to validate capillary-like networks. Results: M1-Exos and M2-Exos were effectively absorbed by DPSCs and HUVECs. Compared with M1-Exos, M2-Exos considerably facilitated the proliferation and migration of DPSCs and HUVECs. Furthermore, M2-Exos robustly promoted ALP activity, mineral nodule deposition, and the odonto/osteogenic marker expression of DPSCs, indicating the powerful odonto/osteogenic potential of M2-Exos. In sharp contrast with M1-Exos, which inhibited the neurogenic capacity of DPSCs, M2-Exos contributed to a significantly augmented expression of neurogenic genes and the stronger immunostaining of Nestin. Consistent with remarkably enhanced angiogenic markers and tubular structure formation in DPSCs and HUVECs in vitro, the employment of M2-Exos gave rise to more abundant vascular networks, dramatically higher VEGF expression, and widely spread CD31+ tubular lumens in vivo, supporting the enormous pro-angiogenic capability of M2-Exos. Conclusions: The multifaceted roles of M2-Exos in ameliorating DPSC and HUVEC functions potentially contribute to complete functional pulp–dentin complex regeneration.
Microbial Precipitation of Calcium Carbonate for Crack Healing and Stabilization of Sandy Soils

Microbially induced calcium carbonate (CaCO3) precipitation (MICP) can improve the shear strength of soil via biocementation while reducing its porosity and hydraulic conductivity. The purpose of this study was to evaluate the effect of the addition of bacterial metabolites and montmorillonite on the crack healing and biocementation of sandy soil during the MICP process. Cracks were generated by drying wet soil samples in Petri dishes, after which they were sprayed with one of four treatments: deionized water, a cementation solution, bacteria mixed with the cementation solution, and bacterial metabolites mixed with the cementation solution. After five cycles of this spray treatment, the surface crack ratio was observed to decrease by about 71% when living cells were used and by about 80% when microbial metabolites were added. However, the crack reduction ratio was relatively low when treated with water (28%) and the cementation solution alone (48%). To investigate the effect of adding a phyllosilicate to improve the strength of sandy soil, MICP was induced in sand mixed with 0–30% montmorillonite (MMT). As a result, the soil strength increased with higher levels of MMT, indicating that MMT contributed to soil stabilization as a colloid for CaCO3 precipitation and via adhesion between sand grains. Therefore, for the crack healing and stabilization of sandy soil, the addition of bacterial metabolites and montmorillonite may enhance the effectiveness of the MICP process.
Crowdsourcing Arctic Navigation Using Multispectral Ice Classification & GNSS

Safe marine navigation in the Arctic is becoming more important with a growing interest in the region in recent years. With the summer Arctic sea ice extent having decreased by 50% since 1980, this now opening waterway has given rise to serious interest in commercial activities in the Arctic. There are several navigational challenges that face ships operating in Arctic waters. Sea charts are known to be untrustworthy, navigational equipment can be problematic, and there is the constant danger of multi-year and glacial ice collisions. Here we focus on the threat of ice. Knowledge of its whereabouts is crucial to the safe planning of routes and in the avoidance of sometimes-fatal collisions. With increased traffic and without proper detection systems in place, there is a danger of accidents in the Arctic that may result in loss of life or have severe environmental ramifications. Here we propose a modernized system which offers improvements in the two major components of the current ice mitigation strategy, namely, on the ship-based monitoring side and on the ship-to-ship aiding side. Ship-based monitoring today is a largely manual process which requires a skilled and experienced crew to interpret radar data and scan the area visually to correctly identify dangerous ice. This relies heavily on the use of expert lookouts, as radar is known to fall short of the requirements needed to reliably detect all forms of hazardous ice. Ship-to-ship aiding exists today in the form of organizations such as the North American Ice Service (NAIS) where icebergs and ice conditions are reported in part by passing ships. However, most ice reports are based on visual sightings whose accuracy is likely not high. Here, we propose crowdsourcing ice navigation based on a GNSS data registration system. In this scenario, ice detection and classification is done robustly and automatically based on a redundant multispectral system. This data is then geo-referenced using GNSS, enabling reliable ship-to-ship aiding in systematic way. The high integrity sharing of ice data offers a framework in which to perform path planning in a reliable and automated way, finding the safest route with the available information and relying less on the expertise of the crew.
Design and implementation of a digital twin application for a connected micro smart factory

ABSTRACT Recently, manufacturing concepts, such as personalized production and distributed manufacturing, have attracted attention owing to the ongoing revolution in industrial technology. Connected micro smart factories in factory-as-a-service system with these new manufacturing paradigms and Industrial Internet of Things (IIoT) are inefficient in terms of cost and production. To solve these problems, a digital twin, which uses a digital representation of a process, with the same configuration of manufacturing elements, synchronized information, and functional units, was designed and implemented. The digital twin utilizes the latest information from the Internet to gather data from IIoT devices and interoperates in a variety of applications. In addition, it derives the components of a detailed design of the digital twin application, to which it performs procedure definition. This research differs from other digital twin studies that concentrate on the prognostic health management of only a single machine. This study could help managers organize the benefits of utilization through a digital twin based on a hierarchy as they could receive real-time monitoring of the present, tracking information from the past, and operational decision-making support for the future. In addition, the proposed application reduces the cost and production inefficiencies, ultimately resulting in the efficient operation of a manufacturing system.
Personalized Therapy in Oncology: Melanoma as a Paradigm for Molecular-Targeted Treatment Approaches

Over recent decades, systemic cancer therapy has undergone significant transformations due to breakthroughs in understanding cancer biology, immunology, and genetics. Consequently, patients with advanced-stage cancers are experiencing unprecedented survival rates. Personalized cancer therapy aims to optimize clinical outcomes by tailoring drug therapies to individual patients based on their tumor genetics and/or epigenetics, thereby minimizing the toxicity associated with ineffective treatments. Progress in genetic sequencing and molecular cytogenetics has revealed oncogenic driver mutations and epigenetic anomalies, paving the way for the development of targeted molecular therapies. This review article elucidates the successful advancement of molecular targeted therapies in malignant melanoma, showcasing the paradigm of personalized cancer therapy.
Using the K-Nearest Neighbour and Moth Blade Optimization Algorithm to Identify Malicious Sessions in IoT Network

-There are many ways in which the convenience of an IOT network might improve people's daily lives. Due to the increasing number of potential targets, the security of IoT devices is a pressing issue of the present. In this study, we offer a method for detecting intrusions into IoT networks, which classifies sessions into either attack or regular categories. Work for slection of characteristics for determining the class representative sessions employed a moth flame optimization genetic method. K-Nearest Neighbor was used to determine which class meeting it was. The experimental results, which were obtained using a real dataset, demonstrate that the suggested model, Moth Flame based IOT Network Security (MFIOTNS), is able to optimise different values of the evaluation parameters to provide greater gains in productivity
Toxoplasma gondii infection in people with schizophrenia is related to higher hair glucocorticoid levels

Introduction Toxoplasma gondii (TG) is a common protozoan parasite infecting approximately one third of the human population. Animal studies have shown that this parasite can manipulate its host behavior. Based on this, human studies have assessed if TG can be involved in mental health disorders associated with important behavioral modifications such as schizophrenia. However, results have been discrepant. Given that TG has a strong impact on fear and risk-taking processes in animal studies and that fear and risk-taking behaviors are associated with the human stress response, we tested whether glucocorticoid biomarkers (salivary and hair) differ in people with schizophrenia and controls as a function of TG status. Methods We measured TG antibodies in blood samples, as well as salivary and hair glucocorticoid levels in 226 people with schizophrenia (19.9% women, mean age = 39 years old) and 129 healthy individuals (controls) (45.7% women, mean age = 41 years old). Results The results showed that people with schizophrenia infected with TG presented significantly higher hair glucocorticoid concentrations than non-infected people with schizophrenia. This effect was not found in control participants. No effect was observed for salivary glucocorticoid levels. Additionally, there were no associations between TG infection and positive psychotic symptoms nor impulsivity. Discussion These results show that people with schizophrenia present high levels of hair glucocorticoid levels only when they are infected with TG. Further studies performed in populations suffering from other mental health disorders are needed to determine if this effect is specific to schizophrenia, or whether it is generalized across mental health disorders.
Dissolved organic carbon and nitrogen in coastal waters

Dissolved organic matter (DOM) including carbon and nitrogen (DOC and DON) are important but poorly understood components of the marine biogeochemical cycle. In this study, the distribution and cycling of DOC and DON, and particulate organic carbon and nitrogen (POC and PON) were investigated in North Sea surface and bottom water during the stratified summer season in 2011 and 2012, along with other key biogeochemical parameters such as nutrients. The summer DOC, DON, POC and PON ranged from 32.7-134.5, 2.8-13.7, 1.1-43.8 and 0.3-5.9 μM, respectively. The well-mixed water of the southern North Sea was also surveyed in the winter of 2011; measured concentration of DOC and DON were 56.2-224.8 and 3.7-12.3 μM. In summer, DOM and POM generally exhibited high levels in the southern well-mixed water (SM), whereas inorganic nutrient concentrations were higher in the northern bottom water (NB) due to nutrient regeneration and offshore water inflow. DOM in summer and inorganic nutrients in winter were also clearly influenced by riverine inputs. DON was the dominant nitrogen fraction of northern surface water and SM in summer, while in NB, TOxN (nitrate + nitrite) was the dominant fraction. Analysis of SmartBuoy samples show phytoplankton provided a net source of DOM over the spring bloom period with net degradation in autumn and winter. Incubation experiments on water collected from two North Sea sites in autumn, winter 2013 and spring 2014 showed no nutrient (N and P) limitation on DOM degradation. The experiments yield mean bacterial decay rate constants (for three seasons) at the two sites of 4 ± 8 and 2 ± 3 %d-1 kDOC and 3 ± 4 and 4 ± 4 %d-1 kDON, under dark conditions. In comparison to the Redfield ratio, the bulk C:N molar ratio is enriched in carbon relative to nitrogen, while the slope C:N ratio is close to the Redfield ratio, but with a background of high C:N material.
PROVENANCE OF PERMIAN-TRIASSIC AND ORDOVICIAN METAGRAYWACKE TERRANES IN NEW ZEALAND : EVIDENCE FROM 40AR/39AR DATING OF DETRITAL MICAS

Single-crystal 40 Ar/ 39 Ar ages of detrital micas from Greenland Group (Ordovician) low-grade metagraywackes of the West Coast, South Island, New Zealand, indicate a source area having muscovite age patterns of 490–515 Ma. The detrital muscovite ages are characteristic of granitoid and gneiss terranes of the Ross-Adelaide fold belt of Antarctica; therefore, the source area for the Greenland Group sedimentary rocks was the immediately adjacent Pacific margin of Gondwana. Similar age determinations for Rakaia terrane (Permian–Triassic) Torlesse Supergroup metagraywackes of the Wellington and Canterbury regions of New Zealand indicate that their source area included rocks having prominent muscovite cooling ages populations of 210–290 Ma (80%) and 410–460 Ma (15%). The Torlesse detrital muscovite age data thus suggest that the source area of the metagraywackes was not within the Lachlan fold belt of southeast Australia and analogues in Antarctica, nor in the adjacent Ross-Adelaide fold belt. Rather, the Rakaia terrane of the Torlesse metagraywackes is a true suspect terrane derived from a source area within the Hunter-Bowen fold belt of northeast Australia and the immediately adjacent older orogens of eastern Queensland.
Crystal structure of the sodium salt of mesotrione: a triketone herbicide

The crystal structure of the sodium salt of mesotrione [2-(4-methylsulfonyl-2-nitrobenzoyl)cyclohexane-1,3-dione] is described. A one-dimensional polymer is formed by the coordination of all functional groups except the NO2 group. The coordination number of the sodium atom in the compound is 5.