Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of an all-optical three-input universal logic gate with an enhanced contrast ratio by exploiting a T-shaped photonic crystal waveguide.

Universal gates (NAND and NOR) are used for any electronic circuit that is affordable and straightforward to build all logic gates (LoG). In this work, the T-shaped 2D photonic crystal (PhC) is exploited to design a three-input universal LoG premised on the beam-interference principle. The design criteria of pitch (a), rod radius (r), and refractive index (n) are employed to obtain a high impact output. The methodologies of plane wave expansion and finite-difference time-domain are employed for examining the framework of universal LoG at 1550 nm wavelengths (λ). The suggested universal LoG design has a compact size of 8. 4µm×4. 8µm. Additionally, the structure yields a high contrast ratio (CR) of 20.37 dB for the NAND LoG and 28.45 dB for the NOR LoG, and maximum transmission efficiency of 50.6% and 70% for the NAND and NOR gates; correspondingly, the best and worst three-input NAND gate response times are 19.5 ps and 21.4 ps. Similarly, the response time of the three-input NOR gate is 26 ps. The proposed universal gate's primary goal is to offer a high CR and a compact structure while being compatible with any other logic gate.
Investigation of façade coatings containing algae-prone fillers

Algae are an evolutionary model of success and colonize all suitable ecological niches including building material surfaces that have favorable characteristics. In the last 25 years, building physics measures were developed to reduce water availability, especially on external thermal insulation composite systems. Investigations into the influence of coating formulations have so far primarily focused on binder systems, biocides and hygrothermal properties. Research on the algal susceptibility due to the fillers is not to be found, but these regularly constitute a large proportion of final coatings. The present work investigates the influence of magnesium-containing fillers in the process of algal colonization of free-weathered façade coatings and a defense-strategy by water-activated pigment composition.
Robust Graph Regularized Nonnegative Matrix Factorization

Nonnegative Matrix Factorization (NMF) has become a popular technique for dimensionality reduction, and been widely used in machine learning, computer vision, and data mining. Existing unsupervised NMF methods impose the intrinsic geometric constraint on the encoding matrix, which only indirectly affects the base matrix. Moreover, they ignore the global structure of the data space. To address these issues, in this paper we propose a novel unsupervised NMF learning framework, called Robust Graph regularized Nonnegative Matrix Factorization (RGNMF). RGNMF constructs a sparse graph imposed on the basis matrix to catch the global structure and preserve the discriminative information. And it models the local structure by building a k-NN graph constrained on the encoding matrix, which gains the compact representation. Consequently, RGNMF not only respects the global structure, but also depicts the local structure. In addition, it employs such a <inline-formula> <tex-math notation="LaTeX">$\text{L}_{2,1}$ </tex-math></inline-formula>-norm cost function to decompose the basis matrix and encoding matrix that its robustness can be improved. Further, it imposes the <inline-formula> <tex-math notation="LaTeX">$\text{L}_{2,1}$ </tex-math></inline-formula>-norm constraint on the basis matrix to choose the discriminative feature. Hence, RGNMF can gain the robust discriminative representation by combining structure learning and <inline-formula> <tex-math notation="LaTeX">$\text{L}_{2,1}$ </tex-math></inline-formula>-norm constraints imposed on the basis matrix and encoding matrix. Extensive experiments on real-world problems demonstrate that RGNMF achieves better clustering results than the state-of-the-art approaches.
Design and Implementation of a Uniform Power and Stable Efficiency Wireless Charging System for Autonomous Underwater Vehicles

Design and fabrication of a practical wireless charging system, which includes a submerged docking station and an autonomous underwater vehicle (AUV) with power pick-up capability, is proposed to recharge an AUV safely and autonomously. First, a docking design, based on a funnel-type docking station, an acoustic and optical combination guiding method and a position locking mechanism, is presented to smoothly dock the AUV and eliminate the dynamic disturbance during the charging process. Then, a novel magnetic structure with an overlapped direct-quadrature transmitter and a dipole receiver is proposed. The two-layer transmitting windings, decoupling each other, form a constant amplitude traveling wave under the space-time coordination mechanism for suppressing output fluctuation with misalignments. Moreover, a practical wireless charging circuit, based on current doubler, is developed, modeled and analyzed. Finally, an experimental prototype is constructed to verify the proposal. The system can deliver 1.2 kW to the load with a system efficiency of 90%, and especially the proposal achieves stable output in the range of rotational misalignment of [-30°, 30°] and axial misalignment of [-30 mm, 30 mm].
Research on Implicit Intent Recognition Method Based on Prompt Learning

As one of the core modules of the dialogue system, intent recognition plays an important role in human-computer interaction. Most of the existing intent recognition research is limited to simple, direct, and explicit intent recognitions. However, the natural human-computer interactions are ﬂexible and diverse, and the expressions are often the euphemistic implicit intentions. Therefore, the implicit intent recognition brings new research challenges in this ﬁeld. This paper pioneers a Chinese Implicit Intent Dataset CIID, which covers 7 common intents from diﬀerent ﬁelds, and the data is the text containing the user’s implicit intent. Based on this corpus, it is the ﬁrst time prompt learning is employed for implicit intent recognition and by constructing a suitable prompt template, the model can get ”relevant hints” to dig out the true intention of the user. Finally, this paper evaluates a range of classiﬁcation models on CIID dataset. Experimental results show that the recognition rate of the proposed model is 97.6%, and achieves the state-of-the-art recognition accuracy. Furthermore, since it is diﬃcult to collect the user’s implicit intention data, this paper also explores the performance of these classiﬁcation models on the CIID dataset with few-shot settings, and the experimental results show when the training data is reduced to 4.7%, the recognition rate of the proposed model can still keep 92.4%, which is signiﬁcantly higher than other baseline models, the results further prove this proposed method is advanced and robust.
Mixed application of biochar, maize straw, and nitrogen can improve organic carbon fractions and available nutrients of a sandy soil

Abstract Biochar with maize straw and nitrogen application may provide better crop growth conditions with respect to soil C/N, organic carbon fractions, and available nutrients than biochar applied alone. An incubation experiment was conducted in which biochar of maize straw pyrolyzed at 500 °C was applied with maize straw and nitrogen over 150 days. The treatments consisted of three rates of biochar applied at 0 (BC), 30 (BC3), and 60 g kg−1 (BC6), two rates (0 and 2 g kg−1) of maize straw (S), and two rates (0 and 0.1 g kg−1) of nitrogen (N) fertilizer (ammonium bicarbonate). The control (CK) was blank soil unfertilized with BC, N, and S. Sampling was done at 30, 60, and 150 days, respectively. The treatments of BC3 and BC6 significantly increased the content of soil total organic carbon by 840–1735%, oxidizable organic carbon (KMnO4–C) by 151–250%, dissolved organic carbon (DOC) by 221–976%, microbial biomass carbon (MBC) by 113–274%, available phosphorus (AP) by 969–4820%, and available potassium (AK) by 715–2413% in the sandy soil. Biochar reduced the ammonium nitrogen and nitrate nitrogen (NH4 +–N and NO3 −–N) contents, while it increased the carbon-nitrogen ratio (C/N) to 42. Nitrogen addition increased the contents of NH4 +–N by 395% and NO3 −–N by 661% compared with the CK after 30 days. Straw only affected the contents of DOC and MBC. The S + N treatment increased the content of MBC and available nitrogen compared with the CK. The contents of KMnO4–C, DOC, MBC, NH4 +–N, NO3 −–N, AP, and AK in the BC + N and BC + S treatments were higher than those in the BC treatments. The BC + N and BC + S treatments could decrease the high C/N that resulted from biochar alone. The contents of KMnO4–C, DOC, MBC, NH4 +–N, NO3 −–N, AP, and AK in the BC + S + N treatment were higher than those in the BC + S and BC + N treatments. Therefore, we recommend using BC6 + S + N to improve the organic carbon fractions and available nutrients in sandy soil. If straw is lacking in the field, BC6 + N is a suitable alternative.
Phosphate solubilizing microorganisms isolated from medicinal plants improve growth of mint

The current research project involves isolation and characterization of PSM (phosphate solubilizing microorganisms) from the rhizospheric soil of certain medicinal plants and to determine their effect on plant growth. Medicinal plants, Aloe vera, Bauhinia variegata, Cannabis sativa, Lantana camara and Mentha viridis were selected for the isolation of PSMs. Soil status of the selected medicinal plants was also checked. Phosphate solubilizing bacteria (PSB) were observed under stereomicroscope for their morphological characteristics and Gram’s staining. Phosphate solubilizing fungi (PSF) were also identified microscopically. Colony diameter, halo zone diameter and solubilization index were determined on PVK agar plates. TLC results indicated that citric acid was the most common acid produced by PSM strains. All strains were found to be non-pathogenic in pathogenicity test. A positive plant growth response to PSM inoculation was observed in all studies. In study 1, individual inoculation of PSM showed a significant increased effect on plant growth parameter i.e., fresh and dry weight, plant height and root and shoot length as compared to control. In study2, composite inoculation of PSM along with different P sources revealed that rock phosphate (RP) with PSM increased growth of plants significantly. The present study suggests that PSM inoculation along with RP amendment can be used as biofertilizer.
X-Band Microwave Properties of a Rectangular Plasma Sheet.

Abstract : Detailed scans of x-band microwave transmission, reflection and noise emission of various Agile Mirror plasma sheets as a function of frequency have been performed. The reflected microwave signal from the plasma sheet is compared to that reflected from an aluminum plate with the same dimensions as the plasma. Estimates of the electron density are made by measuring the transmission through plasma sheets that are then compared to x-band wavelengths. The noise spectrum is mapped, and mechanisms that might produce this noise are discussed.
Sizing of an Island Standalone Hybrid System Considering Economic and Environmental Parameters: A Case Study

Due to the significance of environmental aspects, the modeling of hybrid systems should be performed with the lowest cost and environmental pollution. Therefore, an effective and optimum sizing method can ensure acceptable performance. This paper implements a “technique for order performance by similarity to the ideal solution” (TOPSIS) method combined with the “analytic hierarchy process (AHP)” method to size a standalone system based on techno-economic parameters. For this reason, a survey was conducted to collect local load data on Monpura Island, located in Bhola, Bangladesh. Visible and design faults of the existing PV/diesel mini-grid have also been identified. Five alternative hybrid configurations have been considered as to evaluate the best optimum system. Two economic and one environmental criterion was used to size the system. Two experts specialized in energy systems evaluated the criteria and proposed the suitable system. Battery, wind and PV capital cost multipliers have been considered as to perform sensitivity analysis. According to techno-economic analysis and expert opinion, PV/biogas/wind has been found to be the most appropriate system among these configurations. The system has a cost of electricity (COE) of 0.691 (USD/kWh) and emits only 4.43 kg of CO2 per year. The net present cost of the proposed system is 18% lower than the existing microgrid, and the model has lower emissions due to high renewable penetration. It was also found that integrating wind can significantly reduce battery capacity in the mini-grid. The proposed system consumes 34% less batteries than the existing system. Implementing this optimum system can result in greater benefit to the local people.
Robotic system for off-shore infrastructure monitoring

ABSTRACT In this paper, a novel modular reconfigurable mobile inspection robotic system is presented. The system consists of two underwater robotic platforms, including a tracked mobile robot for moving on rough terrain and a remotely operated vehicle robot for free underwater operation. Applications of the system include structural monitoring of off-shore infrastructure made of steel, concrete or other materials. The system is equipped with a 3D sonar, high-definition cameras and laser sensors to navigate underwater and locate structural defects. Mathematical models of the tracked robot are derived for operation underwater. Operation and verification of the ROV vision system is shown. The system sensing equipment is capable of performing simultaneous localisation and mapping tasks, thus an algorithm for navigation and localisation of defects based on sensor fusion is proposed and discussed.
Up-Cycling Plastic Bags Waste Into Lifestyle Products by Direct Heating Method

Today plastic waste is one of the largest waste contributors in the world, with approximately 10 percent of the total waste in the world. Most of the plastic waste comes from households, it is plastic bag waste. Already many efforts have been made to reduce the amount of waste and its effects. One of them is the up-cycling method. Up-cycling is a method of reusing waste into products that have more values or new use . Using this method, besides being able to reduce the amount of plastic waste that exists while creating new products with new selling values and functions. The results of this method produce lot of variation of fashion products, furniture, household appliances, etc. The up-cycling method that will be used is the direct heating method of plastic bag waste . This process will change the structure and characterization of plastic waste material. The next process is forming the material with the simple pressing machine into shape of product. The results of plastic bag waste treatment in this study are trendy color ring products. In the future, further development and refinement is still needed in the next research which focuses on finishing techniques and product range variations.
Canonical numbering of seven link Kinematic Chain

† The objective is to know the significance of canonical numbering along with the application. Each kinematic chain with an identification code either a maxcode, or mincode which is also known as canonical numbering is being a unique technique of representing Kinematic chains. In the proposed paper the identification code i.e. maxcode and mincode is explained along with an example of seven links 2 degree of freedom (DOF) kinematic Chain.
Medición inalámbrica de concentración de oxígeno para productos vitivinícolas

This paper presents a wireless system for measuring the oxygen concentration suitable for bottled wine. The architecture system is based on wireless powering and inductive telemetry data communication eases the information about wine quality via an oxygen sensor inside the bottle. A high level of oxygen show salow quality of bottled wine. A bad sealing process and corks defects increase the oxygen concentration. The proposed system was validated using adiscrete component implementation available on local market. The given architecture was designed in to a ASIC future application. The prototype use a commercial Alphasense A2O2 oxygen sensor, the implemented system shows ahigh linea rresponse with a correlation coefficient of 0.999.
Building Model for Crime Pattern Analysis Through Machine Learning Using Predictive Analytics

Crime has a big impact in both the human lives and the society’s growth, which needs to be addressed and controlled. Machine learning algorithms as the fanciest technology to assist decision makers in policy making has proven its reliability in showing unseen patterns in crime. This research aims to examine the capability of trees and ensemble trees in classifying crime through model development. Experiments were done to enhance the capability of the ensembles in both classification and regression. Feature extraction like synthetic minority oversampling technique was applied in order to address the problem in the imbalanced data. Different metrics relevant to classification and regression were considered in evaluating the performance of each model used. With the use of different metrics, Gradient boosted tree was found to have better classification capability in crime dataset after outperforming decision tree and random forest in both classification and regression problem. Furthermore, random forest was also found to have a promising capability in classification by regression. Therefore, it is highly recommended that this ensemble algorithm be further examined and considered in developing model in other datasets
Business Model Design for New Business Development at PTB Dialysis Clinic Chain

— PTB is subsidiary of B Company, a German health care supplier. Division AV of PTBB focuses on dialysis products and services. As Division AV started direct business in 2009, PTB expects it can be growth driver in 2011-2015. The research aims to recognize and create external opportunity in dialysis service provider, to explore internal resources, and to develop new business model of PTB dialysis center. Corporate entrepreneurship framework is applied to provide solution. The research methodology is qualitative approach by semi-structured interview. The discussion points are put business model framework and synthesized into PTBB dialysis service provider business model. The result shows key issues as external opportunity and internal resources. Kidney failure patient in Indonesia has huge potential because limited specialists and dialysis center capacity, expensive cost of treatment, and limited access to reimbursement scheme. Dialysis service is dominated by hospital-based dialysis unit. However, hospital-based dialysis unit capacity cannot fulfill demand of patients. Stand-alone dialysis clinic development is opportunity. However, it has challenges in complicated permit, higher investment, and lack of support in reimbursement. PTB has several internal resources that can be utilized. The proposed business model solution is standardized and interconnected dialysis clinic chain,. The dialysis clinic chain focus on JAMKESMAS/DA patients and untreated patients. To run this model, important activity is building relationship with coordinator, while important resources are standardized operation procedures and centralized IT.
A Historical Research Study of the Factors that Influence the adoption of Medical Decision Support Systems (MDSS)

† Implementations of MDSSs have been shown to reduce practice variability and improve outcomes. Over the last few years, the evolution in decision-making systems is proceeding with an extension of knowledge and the decisional processes underlying this knowledge. Best practice must be an organizational and process oriented concept to achieve adoption and consequently outcome improvements. The first step in how decision support systems can be re-examined and improved may be with incorporating new and unambiguous knowledge with a clear scientific reference. Evaluating these improved systems implies evaluating physicia QV¶(cid:3) DGRSWLRQ(cid:15)(cid:3) FRPSOLDQFH(cid:3) ZLWK(cid:3) guidelines, and impact on outcomes. A second important building block is to adopt clear medical concepts and classifications. Because the use of medical data for cooperative care is necessary to improve the quality of care, the patient-centered electronic health care documentation is needed. The study covered over 100 researches conducted in the field of Medical Decision Support system (MDSS). However, the research was not limited to simply MDSS. The field of MDSS has evolved out of Information technology and medical informatics. The key concepts relating to current MDSS systems were developed and presented in the literature prior 1976. But the most monumental research was conducted by Miller (1994) and his study acts as the foundational study for this research.
Trends of Selected Socio-Economic Indicators of Indonesia, November 2010

The data within this edition includes geographical situation, population and labor, social affairs, consumption expenditures, agriculture, manufacturing and construction, foreign trade, tourism and transportation, finance and prices, and national and regional income. Technical notes for each statistics are also included in this publication to provide a better understanding in interpreting data for data users.
Improving Students Motivation in Speaking by Using Agony Column Technique

Most of eleventh grade students SMAKoperasi were less motivated in participating in English learning classroom activity, especially in speaking activity 7KHUHIRUH $JRQ\ &ROXPQ WHFKQLTXH ZDV DSSOLHG WR LPSURYH VWXGHQWV¶ PRWLYDWLRQ LQ VSHDNLQJ LQ WHUPV RI VWXGHQWV¶ HIIRUW DQG SHUVLVWHQFH 7his study was conducted by applying classroom action research on the 27 students of the eleventh grade of SMAKoperasiPontianak. The data were collected by using observational data and questionnaire. Based on the data revealed in observation, there were impURYHPHQWV LQ VWXGHQWV¶ PRWLYDWLRQ IURP WKH ILUVW DQG VHFRQG F\FOH 6WXGHQWV¶ PRWLYDWLRQ LQ ILUVW F\FOH VFRUH ZDV ZKLFK ZDV LQ WKH ORZ motivation and became 52% in second cycle which was in the moderate motivation. Then, based on the data revealed in questionnaire, it was found that VWXGHQWV¶ UHVSRQVHV LQ HIIRUW ZDV LQ SHUVLVWHQFH ZDV DQG WKHLU participating by Agony Column was 71%.
The implementation of public-private partnership scheme of Bangkok Transit System (BTS) – Skytrain

The Implementation of Public-Private Partnership Scheme of Bangkok Transit System | 1 ABSTRACT This paper looks at the implementation of Bangkok Skytrain from the perspective of public-private partnership perspective. It is found that the role of Bangkok Transit System Corporation or the BTSC as the provider of the project shows a shift from the government’s unilateral approach in fulfilling public needs. Through a significant authority and rights granted by the government, the BTSC at first seemed to erode the role of the government. However, deeper inside of the implementation process, the government’s role was not eroded but r ather adjusted to maximize the utilization of available sources to achieve the maximum benefit for society and itself, both politically and economically.