Miracle-dz/UniFAR-FTUs huggingface dataset:
A Forecasting Approach for IoT-Based Energy and Power Quality Monitoring in Buildings

This paper proposes a novel energy consumption and power quality forecasting technique based on the combination of poly-exponential (PE) and random forest (RF). This technique paves away seamlessly integrating the forecast to the Internet-of-things (IoT)-based monitoring system due to its capability of improving computational efficiency. For the experimental setup, the monitoring system in a building supplied the data for forecasting consisting of daily energy consumption and power quality parameters. The developed algorithm for efficient computational forecasting has already considered the space limitation in online real-time monitoring with a minor effect on the model prediction error (less than 0.3% in our experimental setup). The algorithm can alert the user once an indication of energy waste (more than the determined boundary) or the actual voltage violated the tolerance might occur. An experimental dataset taken from the Bappeda Pontianak building in West Kalimantan, Indonesia, shows that the proposed algorithm required fewer samples than the RF yet could predict the daily energy consumption and voltage inside a building accurately up to 96%. Note to Practitioners—As the energy and power quality monitoring using IoT is applied for buildings nowadays, how to handle the big data and forecast the energy and power for evaluation and strategy in buildings is significant. A standard solution is to apply sophisticated technology with a high computational resource. However, this will increase the cost either in the investment or maintenance. The algorithm in this paper is a new approach for IoT-based monitoring and forecasting of energy consumption and power quality by combining PE and RT models, which is relatively cheap in computational complexity yet does not require much space to store in an online setup. The proposed algorithm first creates the model with the RT algorithm and then tracks the residual generated by this algorithm with the PE model and extended Kalman filter. We then show that this model can predict the daily energy consumption accurately. The algorithm based on this model can be integrated into the monitoring system and advise the user when the current energy consumption has passed the “normal” energy consumption concerning the information from previous days. Experiments on a building located in Pontianak show that this algorithm is applicable and can precisely predict daily energy consumption and power quality with a limited amount of data. In future research, we plan to expand this technique further, such that it is not only for monitoring purposes but also for control.
A prospective randomized comparative study of Glidescope versus Macintosh laryngoscope in adult hypertensive patients

ABSTRACT Background Endotracheal intubation with the Macintosh has been associated with difficult visualization of the glottis, difficult intubation, high force,extensive manipulation with significant hemodynamic changes, which may be life threatening in vulnerable patients. We assume that Glidescope has less hemodynamic effects and less postoperative complication. Methods Ninety eligible patients with controlled hypertension were randomly allocated into two groups with 45 patient in each group, G group for the Glidescope and M group for the Macintosh. Both groups were compared for hemodynamic changes including systolic, diastolic, mean blood pressure, heart rate as primary outcome while first attempt success rate, number of attempts, Cormack Lehane score, postoperative sore throat, hoarseness of voice and airway injury as secondary outcome. Results Analysis of hemodynamic changes showed that the Glidescope decreased hemodynamic response to endotracheal intubation in controlled hypertensive patients with better intubation condition using Cormack Lehane score, first attempts success rate and number of needed trials compared to Macintosh laryngoscope. Also, Glidescope showed less post operative complications as sore throat and hoarseness of the voice; meanwhile, no airway injury happened in both groups. However, Glidescope needed more time for completion of intubation. Conclusions It could be concluded that using the Glidescope for endotracheal intubation in controlled hypertensive patients in comparison to Macintosh was associated with significant decrease in hemodynamic stress responses, decreased incidence of postoperative sore throat and hoarseness of voice and it improved the endotracheal intubation process.
Beyond Treatment Exposure–The Impact of the Timing of Early Interventions on Child and Maternal Health

This paper studies the impact of the timing of early-life investment policies on child and maternal health. We exploit variation induced by a 2008 Danish nurse strike that resulted in a large-scale cancellation of home visits for families with infants. Combining unique nurse records with administrative data, we show that missing the first but not later visits increases child and mother contacts to health professionals and the probability of maternal mental health issues. We show that likely mechanisms for these results include nurses’ focus on timely maternal mental health screening and information provision to new families. ∗We gratefully acknowledge financial support from the Innovation Fund Denmark grant 5155-00001B. Wüst is a member of the Center for Economic Behavior and Inequality (CEBI), which is financed by the Danish National Research Foundation, Grant DNRF134. The Copenhagen City Archives generously provided the data on nurse home visiting in the municipality of Copenhagen. We thank Boel Leth Emanuel (municipality of Copenhagen) for valuable input on the data. We thank Aline Bütikofer, Casper Worm Hansen, Claus Thustrup Kreiner, Søren Leth Pedersen, Maya Rossin-Slater, Jakob Egholt Søgaard, Emma Tominey, Christine Valente, Stephanie Vincent Lyk-Jensen and seminar participants at briq (Bonn), SOFI (Stockholm), CEBI (University of Copenhagen), Copenhagen Business School, the NBER Children’s Program Meeting 2019, the Danish Ministry of Health, CINCH Essen and at the 2019 EALE conference for helpful comments. †The Danish Center for Social Science Research (VIVE). Herluf Trolles Gade 11, 1052 Copenhagen, email: jjh@vive.dk. ‡Department of Economics, University of Bristol and The Danish Center for Social Science Research (VIVE). Priory Road Complex, Priory Road, Bristol BS8 1TU, UK, email: h.h. sievertsen@bristol.ac. uk. §Corresponding author: University of Copenhagen, Center for Economic Behavior and Inequality (CEBI), Department of Economics and The Danish Center for Social Science Research (VIVE). Øster Farismagsgade 5, 1353 Copenhagen, email: miriam.w@econ.ku. dk. , phone: +45 35321365
Curcumin Inhibits the Growth and Metastasis of Melanoma via miR-222-3p/SOX10/Notch Axis

Background The aim of this study was to investigate the effect of curcumin on melanoma and its mechanism. Methods Curcumin (0, 0.125, 0.25, or 0.5 mg/ml) was utilized to treat A375 and HT144 cell lines. The MTT analysis was used to confirm the proliferation ability. Wound healing and transwell analysis showed the migration and invasion ability. Immunofluorescence assay was used to demonstrate the effect of curcumin on SOX10 expression. Multiple bioinformatic analysis to confirm the SOX10 associated miRNA. The correlation of miR-222-3p and SOX10 was detected by Luciferase reporter assays. qRT-PCR showed the miR-222-3p level. Western blot analyzed the expression of SOX10, Notch1, and HES1 in melanoma cell treated with or without miR-222-3p inhibitor. Results Curcumin could inhibit the proliferation, migration, and invasion of melanoma cells. Furthermore, curcumin repress the expression of SOX10, Notch1, and HES-1, and increase the expression of miR-222-3p. And the miR-222-3p could directly target to SOX10 mRNA to inhibit its expression. In addition, inhibition of miR-222-3p expression reversed the inhibitory effect of curcumin the growth of melanoma cells. Conclusion Curcumin enhances the miR-222-3p level to reduce SOX10 expression, and ultimately inactivates the Notch pathway in repressing melanoma proliferation, migration, and invasion.
Effect of copper and molybdenum in nutrient solution on Cu, Mo, Fe, Mg, Ca, Zn, Na, K status in sunflower

Abstract Interactions of mineral elements in crops strongly affect their nutritional value and the yield. Within the context of ruminants feeding, ensuring Cu:Mo molar ratio in the range from 2:1 up to 20:1 has been considered. In this work, the impact of different Cu and Mo concentrations applied in nutrient solution of hydroponically grown Helianthus annuus was evaluated in terms of the seedlings growth and the status of Cu, Mo, Fe, Zn, Mg, Ca, K, Na. Nine groups of plants were obtained using concentration range 0.1–10 μmol L−1 for Cu and 0.1–50 μmol L−1 for Mo. Biomass in each treatment was assessed and eight elements were determined in roots and in aerial parts by microwave plasma atomic emission spectrometry (MP-AES). Several synergic and antagonistic interactions of Cu and/or Mo with other six mineral nutrients during uptake and root-to-shoot transport were observed. Regarding the feasibility of tuning Cu and Mo in medium to meet ruminants requirements, each of eight treatments was compared against control plants that were obtained using typical Cu and Mo concentrations in medium (0.44 and 0.70 μmol L−1, respectively). For ten-fold increased Cu concentration in medium (treatment 6), the most favorable Cu:Mo ratio was afforded (8.8:1 in roots and 17:1 in aerial parts) when compared with the control plants (1.8:1 and 20:1, respectively). Further, the concentrations of both elements in aerial parts were within ranges reported for forage; seedlings growth was not affected and concentrations of six other elements were practically unchanged when compared with controls.
Resource Management in Virtualized Data Center

As businesses are increasingly relying on the cloud to host their services, cloud providers are striving to offer guaranteed and highly-available resources. To achieve this goal, recent proposals have advocated to offer both computing and networking resources in the form of Virtual Data Centers (VDCs). However, to offer VDCs, cloud providers have to overcome several technical challenges. In this thesis, we focus on two key challenges: (1) the VDC embedding problem: how to efficiently allocate resources to VDCs such that energy costs and bandwidth consumption are minimized, and (2) the availability-aware VDC embedding and backup provisioning problem which aims at allocating resources to VDCs with hard guarantees on their availability. The first part of this thesis is primarily concerned with the first challenge. The goal of the VDC embedding problem is to allocate resources to VDCs while minimizing the bandwidth usage in the data center and maximizing the cloud provider’s revenue. Existing proposals have focused only on the placement of VMs and ignored mapping of other types of resources like switches. Hence, we propose a new VDC embedding solution that explicitly considers the embedding of virtual switches in addition to virtual machines and communication links. Simulations show that our solution results in high acceptance rate of VDC requests, less bandwidth consumption in the data center network, and increased revenue for the cloud provider. In the second part of this thesis, we study the availability-aware VDC embedding and backup provisioning problem. The goal is to provision virtual backup nodes and links in order to achieve the desired availability for each VDC. Existing solutions addressing this challenge have overlooked the heterogeneity of the data center equipment in terms of failure rates and availability. To address this limitation, we propose a High-availability Virtual Infrastructure (Hi-VI) management framework that jointly allocates resources for VDCs and their backups while minimizing total energy costs. Hi-VI uses a novel technique to compute the availability of a VDC that considers both (1) the heterogeneity of the data center networking and computing equipment, and (2) the number of redundant virtual nodes and links provisioned as backups. Simulations demonstrate the effectiveness of our framework compared to heterogeneity-oblivious solutions in terms of revenue and the number of physical servers used to embed VDCs.
Microchemical provenancing of prey remains in cormorant pellets reveals the use of diverse foraging grounds

Abstract Piscivorous birds in aquatic ecosystems exert predation pressure on fish populations. But the site‐specific impact on fish populations, including stocked and commercially used fish species, remains disputed. One of the key questions for the management of piscivorous birds and fish is determining the origin of prey and thus which fish populations are targeted by the birds. We addressed this question by provenancing otoliths (earstones) of fish obtained from regurgitated pellets of piscivorous birds by otolith microchemistry analysis. We retrieved otoliths from regurgitated pellets of great cormorants (Phalacrocorax carbo sinensis) collected every 2 weeks for 2 years from breeding and roosting colonies at Chiemsee in Bavaria, Germany, and classified them according to family or species. We collected water samples from Chiemsee and potential surrounding foraging grounds. We measured the strontium (Sr) 87Sr/86Sr isotope ratio and Sr mass fraction of water and otoliths using (laser ablation) inductively coupled plasma‐mass spectrometry. We assigned otoliths from regurgitated pellets to habitat clusters of origin by comparing the Sr isotopic and elemental composition of otoliths and waterbodies. In 36% of cormorant pellets collected at Chiemsee, prey was assigned to waterbodies distinct from Chiemsee. Furthermore, cormorants used different foraging sites during 1 day. Microchemical provenancing of prey remains can contribute to identifying foraging sites of piscivorous birds and to what extend the birds switched among foraging sites.
Breast Cancer among Young Women in Douala, Cameroon: Epidemiological, Clinical, Behavioural Characteristics and Risk Factors

Aims: This study aimed at determining epidemiological, clinical, behavioural and risk factors for breast cancer (BC) among young women living in Cameroon. Study Design: Cross-sectional case-control study. Place and Duration of Study: The study took place at the Oncology departments of two reference hospitals in Douala (Littoral Region, Cameroon), from July 2020 to July 2021. Methodology: An ad hoc questionnaire form was used to collect data of interest. Anthropometric and bioimpedance parameters were measured. The data were keyed, coded, verified for consistency, and analysed using StatView v5.0 and GraphPad Prism v5.03. Statistical significance was set at P < . 05. Results: Of the 276 women initially approached, 176 (88 cases and 88 controls) were finally recruited. They were mainly aged 41-45 years old with higher proportion in controls (40.9% vs 45.4%, P = .0029). The proportion of women having had their menarche at advanced age was higher in cases compared to controls (40.9% vs 12.5%, P < .0001). Visceral adipose tissue (Kg) was significantly higher in cases (8.72 ± 3.04 vs 7.43 ± 2.64, P = .003). Most of the patients were diagnosed at advanced stage, especially at stage 3 (46.6%), with more than one third of them had metastasis. The risk of BC was reduced by 84% (AOR = 0.16, P = .001) in patients having had their menarche after 14 years of age, and 71% (AOR = 0.29, P = .01) in those always consuming fruits/vegetables. In contrast, BC risk was increased in women with familial history of BC (AOR = 3.19, P = .04). Early and late diagnosed BC women had similar characteristics with the exception of age, stillbirth and body mass index. Conclusion: BC is prevalent and detected among young women at advanced stage, with protective role of fruits/vegetables consumption and late age of menarche.
Broadening the Action Spectrum of TiO2-Based Photocatalysts to Visible Region by Substituting Platinum with Copper

In this study, TiO2-based photocatalysts modified with Pt and Cu/CuOx were synthesized and studied in the photocatalytic reduction of CO2. The morphology and chemical states of synthesized photocatalysts were studied using UV-Vis diffuse reflectance spectroscopy, high-resolution transmission electron microscopy, and X-ray photoelectron spectroscopy. A series of light-emitting diodes (LEDs) with maximum intensity in the range of 365–450 nm was used to determine the action spectrum of photocatalysts. It is shown for, the first time, that the pre-calcination of TiO2 at 700 °C and the use of Cu/CuOx instead of Pt allow one to design a highly efficient photocatalyst for CO2 transformation shifting the working range to the visible light (425 nm). Cu/CuOx/TiO2 (calcined at 700 °C) shows a rate of CH4 formation of 1.2 ± 0.1 µmol h−1 g−1 and an overall CO2 reduction rate of 11 ± 1 µmol h−1 g−1 (at 425 nm).
Analysis Of Supporting Factors On Foreign Direct Investment And Its Impact Toward Indonesian Employment And Export Performance Period: 2005-2015

This research analyzes effects of foreign direct investment and Its Impact toward employment and export performance in Indonesia 20052015. This research with secondary data focuses on the Supporting factors in which attract foreign direct investment into Indonesia. This research focused on the problem; First; the impact of labor, export results, economic growth rate, exchange rate, inflation rate, interest rate, and tax toward foreign direct investment, second; the impact of foreign direct investment on the expansion of employment and export performance in Indonesia during the period 2005-2015. The result of this research explains that variables of human resources(labor) and export performance give positive effect as significantly to attracting foreign direct investment in Indonesia. While foreign direct investment in Indonesia gives positive effect to employment creation and to export performance.
Development of E-Module Guideline on Basic Physics Practicum for Science Process Skills in a Pandemic Period

The present study was carried out to produce a product in the form of e-module guidelines of basic physics practicum developed using the SIGIL application to practice students' science process skills during the covid-19 pandemic. This research-based paper was conducted through ADDIE model, which consisted of analysis, design, development, implementation, and evaluation stages. In the analysis phase, a needs analysis of questionnaire was conducted to determine the need for e-modules for practitioners and practicum assistants. During the design stage, a preliminary design is made in the form of the structure or content of the e-module, practicum titles, and their layout. Furthermore, in the development stage, the e-module has been developed using the SIGIL application by inserting a practical tutorial video based on a scientific approach and has been assessed with an average score of 3.82 considered Very Good. The implementation was carried out by giving the developed e-module to 20 students who took the basic physics practicum course. After using e-modules for 4 practicum titles, students are given a posttest of science process skills. Based on the posttest results, students received an average score of science process skills of 83.94 considered Skilled category. In addition to data on the score of science process skills, at this stage data on student responses to e-modules were also obtained using responses from questionnaires. The results disclosed that the developed e-module addressed a positive perception with an average response score of 89 considered Very Good. In the last evaluation stage, it was therefore argued that the e-module of basic physics practicum using SIGIL application was concluded appropriate to use on practicing students' science process skills during the Covid-19 pandemic.Keywords: e-module guidelines, basic physics practicum, science process skills.
Effect of Penetration Enhancers and Safety on the Transdermal Delivery of Apremilast in Skin

The poor water solubility of apremilast (APR) is the main impediment to the penetration of the drug through the skin barrier. The objective of this study was to evaluate the permeability of APR in different solutions enriched with penetration promoters in ex vivo samples of human skin, and additionally assess its tolerance in vivo. To this end, APR solutions with 5% promoter were developed, and the drug’s ability to penetrate human abdominal skin samples was evaluated; the coefficients of permeability, cumulated amounts permeated, and flow were some of the parameters evaluated; likewise, the in vitro and in vivo tolerance of the solutions was evaluated. The results obtained showed that the solutions containing squalene as a promoter improved the penetration of APR compared to the other promoters evaluated; in the same way, on an in vitro scale in HaCaT cells, the promoters were not toxic, finding a cell viability greater than 80% at the different dilutions evaluated. In the in vivo tests carried out with the solution that presented the best results (APR-Squalene solution), it was observed that it does not cause irritation or erythema on the skin after its colorimetric and histological evaluation of the dorsal region of rats after its application. Squalene becomes an excellent candidate to improve the permeability of the drug in the case of the development of a topical formulation; in addition, it was confirmed that this penetration enhancer is neither toxic nor irritating when in contact with the skin in in vivo tests.
Multi-frequency ultrasound tomography based on modified matrix regularization method and wavelet fusion

Ultrasound tomography (UT) is a promising sensing technique for industrial processes owing to its advantages non-invasive, low cost, implement flexibility. Traditional UT may lack the distinguishability to resolve the flow with the complicated distribution. We propose a method that exploits the multi-frequency information to improve spatial resolution and resolve different inclusions. Firstly, multi-frequency ultrasound attenuation measurement information was collected and demodulated for tomographic reconstruction. Secondly, a hybrid reconstruction algorithm is proposed consisting of the modified matrix regularization and wavelet fusion methods. The proposed method can effectively reduce the artefact for the inclusion and sharpen the boundary, and detailed information can be reserved from the wavelet fusion. Thirdly, a multi-frequency experimental UT system is established to accomplish the 32 channels ultrasound signal excitation and reception. The performance of the proposed method is validated through numerical simulation and experimental study. The results show that the reconstruction metrics have been improved compared with the linear back projection and Tikhonov algorithms. We believe the proposed method can be used in the flow process prediction and diagnosis for industrial applications.