Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation the Effectiveness of Family Intervention Targeted at People Diagnosed with Schizophrenia versus People Diagnosed with Schizophrenia and Family Caregivers: Findings from Integrated Systematic Review

Aims: This literature review examines the effectiveness of the family interventions (FIs) targeted at people diagnosed with schizophrenia and/or family caregivers on improving knowledge level of schizophrenia and health related outcomes. Methods: A total of 18 studies were reviewed from December 1999 to May 2015. The methods described by Centre for Reviews and Dissemination were used to guide this review. Results: The FIs showed consistently improvement in the knowledge level of schizophrenia among participants for various follow-up intervals. In addition, FIs were found to be superior to treatment as usual in influencing health related outcomes. Conclusions: Implications of the findings for mental health care practice to include primary caregivers with patient in treatment process.
Identification and Characterization of Sclerotinia sclerotiorum (Lib.) de Bary Associated with Rhynchosia bracteata Benth. Ex Bak. of Wild Derivatives of Pigeonpea from India

Background: Pigeonpea [Cajanus cajan (L.) Millsp. ], an important grain legume crop that is predominantly cultivated in tropical and sub-tropical regions of the world (Nene and Sheila, 1990). Crop wild relatives (CWR) are valuable source of novel alleles for economic traits which when transferred to cultivated species adapt well to changing biotic stresses, farming practices, market demands and climatic conditions. Under proposed study the detailed symptomatology, cultural, morphological and pathogenic characteristics of the causal agent and molecular identification of the pathogen were identified. Methods: Of the total 79 accession of wild relatives of pigeonpea (Cjanus cajan) planted in the experimental fields of ICAR- Indian Institute of Pulses Research (IIPR), Kanpur during 2017-18, one accession (ICP-817) of Rhynchosia bracteata was found to be affected by a disease characterized by leaf and stem blight symptoms. Disease symptoms appeared in January–February, 2017 and 2018. Presence of water soaked lesions on the leaves and stem which later turned chalky in appearance, cottony white mycelium on the affected plant parts along with black coloured irregularly circular sclerotia resembled those of white mold fungus Sclerotinia sclerotiorum (Lib) de Bary were observed. Result: Pathogenicity of the fungus was proved using detached leaf/twig inoculation techniques. Morphological characters and the sequences of internal transcribed spacer (ITS) region of the fungus confirmed the causal agent of the disease to be Sclerotinia sclerotiorum (Lib) de Bary. This is the first report of the Sclerotinia sclerotiorum on Rhynchosia bracteata not only in India but also in the world.
Laser‐induced air breakdown for 1.06‐μm radiation

The effects of dust on 1.06‐μm laser‐induced air breakdown for 100‐nsec pulses are reported. The thresholds in clean air were measured as a function of spot size and were found to scale as λ−2 compared to the 10.6‐μm results. A single 50‐μm carbon particle present in the beam lowered the threshold to ≃5×109 W/cm2 —a factor of approximately 0.02 that of clean air. The fractional reduction in threshold due to dust particles was comparable to that reported for 10.6‐μm breakdown.
Nitrous oxide emissions under a four-year crop rotation system in northern Japan: impacts of reduced tillage, composted cattle manure application and increased plant residue input

In the context of their role in global warming, nitrous oxide (N2O) emissions from agricultural soil under different management practices were studied in Hokkaido, northern Japan. To assess the impacts of reduced tillage, composted cattle manure-based fertilization and amendments with crop residues and green manure on N2O emissions from soil, a field experiment was conducted under a four-year crop rotation on a well-drained Andisol. The crop rotation included potato (Solanum tuberosum L.) or sweet corn (Zea mays L.), winter wheat (Triticum aestivum L.), sugar beet (Beta vulgaris L. subsp. vulgaris) and soybean (Glycine max (L.) Merr. ). The cumulative N2O emissions for the four-year study period differed widely (0.33 to 4.90 kg N ha−1), depending on the treatments imposed, being the greatest for a combination of conventional moldboard plow tillage, composted cattle manure-based fertilization and increased plant residue input, and the lowest for a combination of conventional tillage, chemical fertilizer-based fertilization and normal plant residue input treatments. The cumulative N2O emissions under reduced tillage were all small, irrespective of fertilization and plant residue input treatments. Composted cattle manure-based fertilization (P ≤ 0.01) and increased plant residue input (P ≤ 0.01) significantly increased cumulative N2O emissions. Tillage showed a significant interaction with fertilization and plant residue input, indicating that N2O emissions were enhanced when composted cattle manure, crop residues and green manure were incorporated by conventional tillage. In the present study, the N2O emission factors for chemical fertilizer, composted cattle manure and crop residues were 0.26 ± 0.44, 0.11 ± 0.16 and −0.03 ± 0.52%, respectively, all much lower than the country-specific emission factor for Japan's well-drained soils (0.62%) and the default emission factor used in the IPCC guideline (1%).
Zero-Shot Singing Voice Conversion

In this paper, we propose the use of speaker embedding networks to perform zero-shot singing voice conversion, and suggest two architectures for its realization. The use of speaker embedding networks not only enables the capability to adapt to new voices on-the-fly, but also allows for model training on unlabeled data. This not only facilitates the collection of suitable singing voice data, but also allows networks to be pretrained on large speech corpora before being refined on singing voice datasets, improving network generalization. We illustrate the effectiveness of the proposed zero-shot singing voice conversion algorithms by both qualitative and quantitative means.
REAL-TIME METHOD FOR ECG R-PEAK DETECTION COMBINING AUTOMATIC THRESHOLD AND DIFFERENTIATION

This paper proposed a novel real-time algorithm for electrocardiogram (ECG) signal analysis using the first derivative and automatic threshold to locate the R-peaks. First, the ECG signals are filtered by Butterworth low pass filter to reduce the high frequency noise. Then, the first 10[Formula: see text]s datasets of the first derivative of ECG signal are analyzed to search the maximum value. Three process thresholds are computed using this maximum value, which is used to avoid the missed and false peak detections. Thus, a threshold is automatically calculated using these searched maximum values, and divide the differentiated ECG to obtain two intersection points. Recording the time of these two intersection points, a time interval is formed for the differentiated ECG. Delaying this time interval for specific sampling periods, a new time interval is acquired for the corresponding ECG cycle. Finally, the local maximum in an ECG cycle is narrowed down in this new time interval such that the R-peak can be located. The MIT-BIH Arrhythmia Database of 48 ECG recordings is used to verify the proposed algorithm. On this dataset, the proposed algorithm yielded mean sensitivity of 99.17%, positive predictivity of 97.37% and average time error of 1.01[Formula: see text]ms.
The Determination of Fatty Acid Methyl Esters in Biodiesel from Rapeseed Oil by Gas Chromatography with a Packed Column

Abstract A method for the determination of fatty acid methyl esters in biodiesel was investigated by gas chromatography using a stainless steel column packed with polydiethylene glycol adipate coated on 102 white support and a flame ionization detector. The linear correlation coefficient was above 0.998, the relative standard deviation was less than 0.46%, and the recovery of standard addition was found to be within 96.8–105.4%. It has good separation efficiency, accuracy, and reproducibility.
Grading evaluation study of atlas based auto-segmentation of organs at risk in thorax

Background: The grading evaluation of atlas based auto-segmentation (ABAS) of organs at risk (OARs) in thorax was studied. Materials and Methods: Forty patients with thoracic cancer were included in this study, and for each thirteen thoracic OARs were delineated by an experienced radiation oncologist. The patients were randomly grouped into the training and the test dataset (20 each). The investigated ABAS strategies included single-atlas (Single), majority voting with 5 atlas matches (MV5) and simultaneous truth and performance level estimation (STAPLE) with 5 atlas matches (ST5). The Dice similarity coefficient (DSC), the difference of the Euclidean distance between centers of mass (ΔCMD), the difference of volume (ΔV), maximum Hausdorff distance (MHD) and average Hausdorff distance (AHD) between auto-segmented and manual contours were calculated. Results: Most of the index values (33/65) of ST5 were optimal. There were differences in the grading results for the five indexes. With DSC, five, four and four OARs were graded into Level 3, Level 2 and Level 1, respectively. The mean DSC values ranged from 0.88 to 0.96, from 0.73 to 0.79, and from 0.53 to 0.62 for the Level 3, Level 2 and Level 1, respectively. Conclusion: Grading evaluation of ABAS of thoracic OARs based on the DSC proved to be feasible and relatively more reliable. The thoracic OARs auto-segmentation was divided into three levels based on the DSC. Level 3 OARs can be auto-segmented, Level 2 OARs delineations need to be manually modified after the auto-segmentation, and Level 1 OARs are not recommended for the auto-segmentation.
Comparing the Nitrogen and Potassium Requirements of Canola and Wheat for Yield and Grain Quality

ABSTRACT Grain yield increases (responses) of canola (oilseed rape, Brassica napus L.) and spring wheat (Triticum aestivum L.) to application of nitrogen (N) and potassium (K) fertilizers were compared in the same experiment at eight field sites over three years (2000–2002) in southwestern Australia. Four rates of N (0–138 kg N/ha as urea) and four rates of K (0–60 kg K ha−1 as potassium chloride) were applied. Significant grain yield responses to applied N and K occurred for both crop species at all sites of the experiment, and the NxK interaction was significant. Canola required an average of 26% more applied N and 32% more applied K than wheat to produce 90% of the maximum grain yield. Applying increasing rates of K increased the rate of N required for 90% of maximum grain yield. Likewise, applying increasing rates of N increased the rate of K required for 90% of the maximum grain yield. Fertilizer K had no significant affect on the concentration of oil in canola grain or concentration of protein in both canola and wheat grain. Application of increasing rates of N decreased the concentration of oil while increasing the concentration of protein in canola grain, and increased concentration of protein in wheat grain. The NxK interaction was not significant for concentration of oil or protein in grain.
Perancangan Visual Aplikasi "info dusun" sebagai Sistem Informasi Masyarakat

SmartCity dapat dimulai dari wilayah tingkat dusun. Perancangan desain visual aplikasi InfoDusun merupakan sebuah inovasi yang berbentuk aplikasi pada smartphone. Keunggulan aplikasi InfoDusun adalah menciptakan sistem informasi berupa proses saling berbagi informasi kegiatan sehingga warga mampu mengambil keputusan yang lebih baik dalam merencanakan acara. Hasil perancangan berupa desain logo ikon, desain halaman login dan desain halaman utama.
Development of ImmunoFET Biosensor for Detection of 3-Nitrotyrosine

3-Nitrotyrosine (3-NT) is one of the important biomarkers for detection of excess of oxidative and nitrosative stress in the body, and derived from the peroxynitrite-induced nitration of free and protein-bound at tyrosine residues. It was increased with oxidative/nitrosative stress-induced apoptosis in various tumor cells and many human diseases. Therefore, the analytical methods to detect 3-NT levels in biological samples are important for in vitro study of the apoptotic mechanism of the compounds and for diagnosis of 3 NT-related diseases. In this study, an accurate, sensitive, and specific assay was developed for 3-NT based on the immunoFET biosensors and the effects of protein-A for orientated immobilization of antibody was investigated on the sensitivity of this biosensors. The comparison of sensor performance among two immobilization methods revealed that the assay sensitivity was appreciably improved and better with the antibody attached covalently to the sensor surface than the immobilization method using protein-A. In addition, with this covalent immobilization technique, the output voltage shifts increased linearly (R2 = 0.9923) across the 3-NT concentrations range from 10 to 1000 ng/mL and the limit of quantification of 10 ng/mL and the limit of detection was 0.15 ng/mL. Thus, the developed immunoFET sensors would be applicable for detection of 3-NT in the biological samples.
3D full wave fast wave modeling with realistic antenna geometry and SOL plasma

This paper reports the significant advancement of our ability to model and to understand how RF waves interact with the SOL plasma, by simulating the full torus 3D SOL plasma together with the antenna and core plasma. We introduce and use a recently developed and open source code, Petra-M, which was constructed on the scalable MFEM C++ finite element library, and performed 3D full wave simulations in the HHFW regime for both NSTX-U and LAPD plasmas. A first full wave simulation for a full 3D torus including a realistic antenna geometry and SOL plasma region for NSTX-U is presented. A scan of the antenna phasing shows a strong interaction between FWs and the SOL plasma for lower antenna phasing, which is consistent with previous NSTX HHFW observations. The effect of the 3D wave field on the fast ion population from NBI beams in NSTX-U is also discussed by using the 3D field obtained from the Petra-M simulations in the full-orbit following particle SPIRAL code. On LAPD, 3D full wave simulations of a new HHFW 4-strap antenna recently installed by TAE Technologies on LAPD are performed showing a qualitative agreement with experimental data.
Outside the (memory) box: how unpredictable objects disrupt the discourse of bereavement in narratives of pregnancy loss

ABSTRACT The memory boxes produced by UK charity and support agencies such as Sands are given to families who experience stillbirth and pregnancy loss. These memory boxes form part of a twenty-year-old practice of bereavement care. In this article, we focus on the aspects of memorialisation present in narratives of pregnancy loss that involve a variety of material objects that women selected and chose to keep either within or outside of a memory box. Drawing on a selection of interviews conducted as part of a larger-scale investigation, we explore how women who have experienced a stillbirth or termination for foetal anomaly ascribe meaning to the objects they select. While some ‘melancholy objects’ bring consolation, others operate as unpredictable objects whose meanings and stories cannot be contained in the memory box nor narrated within the conventional discourses of bereavement that accompany the boxes. Such objects cause productive forms of disruption that, on the one hand, unsettle the discourse of bereavement and, on the other hand, offer a form of expression for women’s agency. Conceptualising objects of mourning as unpredictable helps to puncture the mainstream idea (in western society) that bereavement is a journey towards healing.
Faktor-Faktor Yang Mempengaruhi Nilai Perusahaan Dengan Ukuran Perusahaan Sebagai Variabel Pemoderasi Pada Perusahaan Pertambangan Yang Terdaftar di Bursa Efek Indonesia Tahun 2016-2018

The value of the company is one of the measuring tools for profit because it will bring success to leaders and managers in managing company finances. Shareholders want high company value. High company value reflects high share value, so that it is considered to provide high welfare to shareholders. Bargaining for financial contracts in a company requires company size. The purpose of this study was to examine the effect of Profitability (ROA), Leverage (DER) and the disclosure of Corporate Social Responsibility on firm value with firm size as a moderating variable. The population in this study is mining companies listed on the Indonesian stock exchange for the 2016 - 2018 period. The sample used is 20 companies. The method used in this research is multiple linear regression method using the ex post facto quantitative approach. Hypothesis testing uses the t test. The results show (1) Profitability (ROA), Leverage (DER) and Corporate Social Responsibility have a significant effect on firm value, while Leverage (DER) and Corporate Social Responsibility partially do not have a significant effect on firm value. (2) Company size is able to moderate Profitability (ROA), Leverage (DER) and Corporate Social Responsibility (CSR).
Predictive Skill of Deep Learning Models Trained on Limited Sequence Data.

In this report we investigate the utility of one-dimensional convolutional neural network (CNN) models in epidemiological forecasting. Deep learning models, especially variants of recurrent neural networks (RNNs) have been studied for influenza forecasting, and have achieved higher forecasting skill compared to conventional models such as ARIMA models. In this study, we adapt two neural networks that employ one-dimensional temporal convolutional layers as a primary building block – temporal convolutional networks and simple neural attentive meta-learner – for epidemiological forecasting and test them with influenza data from the US collected over 2010-2019. We find that epidemiological forecasting with CNNs is feasible, and their forecasting skill is comparable to, and at times, superior to, RNNs. Thus CNNs and RNNs bring the power of nonlinear transformations to purely data-driven epidemiological models, a capability that heretofore has been limited to more elaborate mechanistic/compartmental disease models.
Role of food allergy in the development of different levels of asthma severity in childhood

Background: Different risk factors including previous history of food allergy may play an important role in predicting the development and also the outcome of asthma in children. This study aims to assess the relationship of previous food allergy in infancy with asthma severity later in childhood. Methods: Infants and children of up to 14 years old referred to the Allergy Clinics of Azad University Hospitals from October 2018 to October 2019 for asthma were enrolled in this cross-sectional study. After confirming the diagnosis by a physician expert in this field and determining the level of severity, the patients’ caregivers were asked to fill out an eight-item questionnaire. The questionnaire focused on family history of allergy, as well as that of the child, specifically a previous history of physician-diagnosed food allergy. Results: A total of 170 asthmatic patients were enrolled in the study with a mean age of 7.1±3 years. A meaningful relationship between food allergy and asthma (p value < 0.001) was found. There was also a significant relationship according to history of food allergy in children with moderate and also severe asthma, compared to those with mild asthma (p<0.001). But a meaningful relationship was not found when comparing moderate and severe asthma (p=0.6). Conclusion: To conclude, food allergy in conjunction with a positive family history is suggested as a risk factor for persistent problematic asthma which places patients at greater risk for morbidities. A history of previous food allergy was significantly associated with moderate to severe asthma compared to mild asthma.
Fabrication of a Praseodymium(III) PVC-Membrane Sensor Based on N′1,N′2-Bis(2-oxo-1,2-diphenylethylidene) ethanedihydrazide

Abstract A polyvinyl chloride membrane sensor for praseodymium(III) ions was prepared based on N′1,N′2-bis(2-oxo-1,2-diphenylethylidene)ethanedihydrazide (BEH) as a membrane carrier. This electrode has a wide linear dynamic range from 1.0 × 10−6 to 1.0 × 10−2 M with a Nernstian slope of 19.6 ± 0.4 mV per decade and a low detection limit of 4.3 × 10−7 M between the pH values of 2.8 and 8.7; additionally, the response time was about 10 s and usage was 2 months without any potential divergence. Moreover, the recommended selective sensor revealed a comparatively satisfactory selectivity regarding most of the alkali and alkaline earths and some transition- and heavy-metal ions. It was employed as an indicator electrode in the potentiometric titration of Pr(III) ions with EDTA. The membrane sensor was also applied to the Pr3+ recovery from different water samples and the determination of fluoride ions in mouthwash samples.
Rheological study of a bicopper tetracarboxylate/decalin Jelly

The rheological properties of jellies of a binuclear copper(II)-tetracarboxylate complex in decalin have been investigated as a function of temperature and concentration. The results are analyzed in the framework of living polymers. It is shown that the theory of living polymers can describe the system under certain conditions, that is below a given transition temperature T trans . Above T trans the theory of living polymers does not apply any longer. Below T trans it is suggested that a low degree of physical gelation takes place. The system is better described as thermoreversible (physical) «living» gel, where physical junctions are liable to play the role of entanglements. The reasons why the theory worked out for «living» polymers can be used below T trans is discussed
A linear programming technique to solve fuzzy multiple criteria decision making problems with an application

Generally, in real world multiple criteria decision making (MCDM) problems, we concern with inaccurate data. This paper transforms a fuzzy multiple criteria decision making (FMCDM) problem into two linear programming models based on simple additive weighting method (SAW). The new linear models calculate two scores for each alternative in optimistic and pessimistic viewpoints. To rank the alternatives, the numerical value of the arithmetic mean of good score and bad score is used as final score of each alternative. Finally, we illustrate the practical applications of the proposed method in selection an industrial zone for construct dairy products factory.
Exploring a Community of Practice to Improve Quality of a Technology Integration Course in a Teacher Education Institution

This research was designed and conducted considering the theoretical and practical suggestions of design-based research (DBR) methodology and aimed to identify and address problems in a one-semester technology integration course at a Midwest university in the US. Community of practice (CoP) was used as the theoretical framework in this research to design and implement interventions, and improve the quality of the course. The researcher observed a community of teacher educators and aimed to make suggestions for building successful strategies for communities of practice in similar contexts. The study results showcased the connection between pedagogy, content and technology as an important theme for preparing future teachers in technology integration courses but also in all the teacher education courses. Furthermore, aligned with the previous literature, pre-service teachers ’ beliefs and confidence were identified as important conditions for effective technology integration. CoP was found as a challenging but helpful model when all the members share ideas in a supportive and balanced environment. An experienced member of the community acting as a moderator and facilitating the discussions was helpful to address the communication issues in a community of teacher educators.