Miracle-dz/UniFAR-FTUs huggingface dataset:
Preparation and characterization of temperature- and pH-sensitive hemicellulose-containing hydrogels

ABSTRACT In this work, a hemicellulose-containing hydrogel was synthesized. As the first step, a temperature- and pH-sensitive copolymer was synthesized from itaconic acid and N-isopropylacrylamide (NIPAAm). Then the hydrogel was prepared by reacting the copolymer with acylated hemicellulose and polyvinyl alcohol. The morphology, compressive strength, thermal stability, swelling/deswelling behavior, drug-release behavior performances of the hydrogels were investigated. The lower critical solution temperature of the hydrogels varied in 34–44°C when the NIPAAm and itaconic acid mass ratios ranged in 100/0–90/10. Both temperature and pH had a significant influence on equilibrium swelling ratio of hydrogels. The equilibrium swelling ratio increased with pH, but decreased with temperature. Cytocompatibility assay demonstrated that this hemicellulose-containing hydrogel was biocompatible. The release process of salicylic acid suggested that this hydrogel had a potential use in controlled drug release.
Integrasi AHP dan SAW untuk Penyelesaian Green Supplier Selection

Dalam rantai pasok, kinerja supplier mampu mempengaruhi kinerja perusahaan. Untuk mengurangi dampak lingkungan dari aktivitas produksi, perusahaan perlu mempertimbangkan aspek lingkungan dalam pemilihan supplier. Permasalahan ini disebut sebagai green supplier selection. Penelitian ini bertujuan untuk integrasi metode AHP dan SAW untuk permasalahan green supplier selection. Sebuah studi kasus dilakukan pada Plastic Manufacturing Industry. Hasil penelitian menunjukan bahwa Harga produk (C1) memiliki bobot tertinggi diikuti sub-kriteria Kesesuaian material dengan spesifikasi (Q1), Ketepatan jumlah pesanan (D1), dan Ketepatan waktu pengiriman (D2). Environment-related certificates (ERC) menempati posisi paling akhir pada green supplier selection
Packaged Ga2O3 Schottky Rectifiers With Over 60-A Surge Current Capability

Ultrawide-bandgap gallium oxide (Ga<sub>2</sub>O<sub>3</sub>) devices have recently emerged as promising candidates for power electronics; however, the low thermal conductivity (<italic>k</italic><sub>T</sub>) of Ga<sub>2</sub>O<sub>3</sub> causes serious concerns about their electrothermal ruggedness. This letter presents the first experimental demonstrations of large-area Ga<sub>2</sub>O<sub>3</sub> Schottky barrier diodes (SBDs) packaged in the bottom-side-cooling and double-side-cooling configurations, and for the first time, characterizes the surge current capabilities of these packaged Ga<sub>2</sub>O<sub>3</sub> SBDs. Contrary to popular belief, Ga<sub>2</sub>O<sub>3</sub> SBDs with proper packaging show high surge current capabilities. The double-side-cooled Ga<sub>2</sub>O<sub>3</sub> SBDs with a 3 × 3-mm<sup>2</sup> Schottky contact area can sustain a peak surge current over 60 A, with a ratio between the peak surge current and the rated current superior to that of similarly-rated commercial SiC SBDs. The key enabling mechanisms for this high surge current are the small temperature dependence of <sc>on</sc>-resistance, which strongly reduces the thermal runaway, and the double-side-cooled packaging, in which the heat is extracted directly from the Schottky junction and does not need to go through the low-<italic>k</italic><sub>T</sub> bulk Ga<sub>2</sub>O<sub>3</sub> chip. These results remove some crucial concerns regarding the electrothermal ruggedness of Ga<sub>2</sub>O<sub>3</sub> power devices and manifest the significance of their die-level thermal management.
Correlation between Interleukin-6 Levels and Total PANSS Scores in Batak People with Schizophrenia

BACKGROUND: Schizophrenia is an illness characterized by distorted thoughts, hallucinations, and reduced ability to feel normal emotions, and this has been linked to immunity, environment, and heredity factors. The particular interest in this context is the stimulating effects of pro-inflammatory cytokines on dopamine, noradrenaline synthesis, and release. AIM: The aim of the study was to investigate the correlation between interleukin (IL)-6 levels and total PANSS scores in people with schizophrenia from the Batak tribe. METHODS: This study was a numeric-numeric correlation analytic study. The research subjects were 47 inpatients (n = 47) at Prof. M. Ildrem Mental Hospital Medan, Indonesia, who were diagnosed based on the criteria of the international classification of disease-10 in the acute phase of treatment aged 15–45 years. IL-6 levels were obtained from blood serum enzyme-linked immunosorbent assay. Statistical analysis used the statistical package for the social science software. RESULTS: The study found that there was a positive correlation between IL-6 levels and total PANSS scores in Batak people with schizophrenia (p = 0.001; r = 0.657); IL-6 levels and positive symptom (p = 0.001; r = 0.696); and IL-6 levels and negative symptom (p = 0.001; r = 0.532). However, there was no correlation between IL-6 levels and general psychopathological scores in Batak people with schizophrenia. CONCLUSION: There was a correlation between IL-6 levels and the total PANSS score, positive symptom scores, and negative symptom scores in people with schizophrenia from the Batak tribe.
Representativeness Heuristic in Stock Market: Measurement and Its Predictive Ability

ABSTRACT This paper measures representativeness heuristic by the irrational part of time-varying Hurst exponent, and empirically tests the validity of measurement including its predictive ability for one-month-ahead excess return in the Chinese stock market. Our preliminary analyses suggest that the representativeness heuristic is a “new” firm-specific characteristic and is possibly related (not consistent) with momentum. It confirms that the measurement of representativeness heuristic is valid. Further researches show that the representativeness heuristic has the predictive ability for one-month-ahead excess return. Meanwhile, multiple robustness tests are constructed to prove these results.
Irrigation Water, Deep Tillage and Gypsum Application Influences Soil Moisture regime, WUE and Sunflower Yield in Coastal Saline Soil of West Bengal

Availability of fresh water is one of the most important criteria for sustainable agriculture. A large proportion of available freshwater (as much as 80%) is used by humans for crop production and allied services (Morison et al., 2008). However fresh water supply is becoming scarce and decreasing day by day. Non availability of fresh water is severe under International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 10 Number 01 (2021) Journal homepage: http://www.ijcmas. com
Assessing Pain Behavioral Responses and Neurotrophic Factors in the Dorsal Root Ganglion, Serum and Peritoneal Fluid in Rat Models of Endometriosis

Objective: Pain is the most frequently reported symptom involving in endometriosis. The alterations of neurotrophic factors and certain neuropeptides in the dorsal root ganglion (DRG), as well as serum and peritoneal fluid (PF), were evaluated in rat models of endometriosis. Materials and methods: Twenty-four Sprague Dawley female rats were selected and maintained in a standard condition with 12 hours’ dark-light cycles. All the rats were randomly assigned to 3 groups: Control (intact rats); Sham (the operation was conducted without endometriosis induction); and Endometriosis (endometriosis induction was performed). The formalin test was performed for all groups on the first and the 21st day of the study. The assessments of Brain-Derived Neurotrophic Factor (BDNF), Nerve Growth Factor (NGF), Calcitonin Gene-Related Peptide (CGRP), and Substance P levels were carried out by enzyme-linked immunosorbent assay (Elisa). The data were analyzed by One-Way ANOVA. The Tukey’s test was used as post-hoc. Results: Endometriosis induction significantly increased the mean pain scores in the endometriosis group in all three phases of the formalin test. The concentrations of DRG-CGRP (p=0.035), BDNF (p<0.001), and NGF (p=0.006) in the endometriosis group were significantly higher than that of the other groups while serum-BDNF (p<0.001), Substance P (p=0.009), and NGF (p=0.015) were significantly lower in endometriosis group compared to other groups. The concentrations of PF-BDNF (p=0.025) and Substance P (p=0.009) were significantly lower than those of other groups. Conclusion: The present results delineate that endometriosis induction could lead to hyperalgesia. This may be related to the significant increases in the BDNF, NGF, and CGRP in DRG.
Self-Signaling in Moral Voting

This paper presents a two-wave survey experiment on self-image concerns in moral voting. We elicit votes on the so-called Horncow Initiative. This initiative required subsidization of farmers who refrain from dehorning. We investigate how non-consequentialist and non-deontological messages changing the moral self-signaling value of a Yes vote affect selection and processing of consequentialist information, and reported voting behavior. We find that a message enhancing the self-signaling value of a Yes vote is effective: voters agree more with arguments in favor of the initiative, anticipate more frequently voting in favor, and report more frequently having voted in favor of the initiative.
Ionization of Helium in a Non Coplanar Geometry

The purpose of this work is to calculate the scattering behavior of a non-coplanar ionization collision of an electron with a helium atom. Relativistic distorted waves were used to describe the wave functions of the incident and scattered electron, and at large distances from the ionized atom the distorted waves for the outgoing electrons are a linear combination of relativistic coulomb waves. The T-matrix and scattering cross section were calculated with the assumptions that the incident electron impacted the atom perpendicularly to the scattering plane, defined by the trajectories of the two outgoing electrons which were assumed to have equal energies.
Understanding the influence of context in technology integration from teacher educators’ perspective

ABSTRACT The perspective of teachers is important for advancing the use of technology in classrooms. A considerable number of research studies have explained context in ways that have narrowed the understanding of its impact on successful technology integration. This study employs the Technological Pedagogical and Content Knowledge (TPACK) model as a lens in understanding factors influencing teachers’ integration of technology in classrooms. Data were collected using focused interviews of 19 teacher educators of three colleges of education from the southern part of Nigeria. The results reveal that among the level contexts, the meso level presented the most challenges to teachers’ efforts at integrating Information Communication Technology (ICT) in their classrooms. In addition, the benefits of technology integration were expressed more in terms of the significance, practical use and the opportunities that ICT offers.
Late pulmonary embolism in a patient with non-severe COVID-19: case report, value of antithrombotic prophylaxis and literature review

Since the onset of the COVID-19 pandemic, several small cohorts have reported the recurrent occurrence of venous thromboembolic disease (VTE), particulary pulmonary embolism, in serious patients hospitalized in intensive care units. We report the case of a patient who presented a minor COVID-19 infection treated on an outpatient basis with good clinical resolution. She developed a pulmonary embolism three weeks after the onset of symptoms. When she was admitted to the emergency room, the two real time reverse transcription polymerase chain reactions (RT-PCRs) performed were negative, moreover the anti-SARS-CoV-2 Immunoglobulin Gs (IgGs) serological test was positive and the chest scanner without and with injection of contrast product showed specific images of COVID-19 with intermediate pulmonary embolism according to the classification of the European society of cardiology (ESC). This observation is interesting since there are not many studies which address the question of the occurrence of late pulmonary embolism in patients with non-severe COVID-19 and raises the discussion on the criteria for the initiation of thromboembolic prophylaxis treatment at the first diagnosis of the disease and duration of that treatment.
A Fault Diagnosis Algorithm for Wind Turbine Blades Based on BP Neural Network

As one of the most critical wind power generation components, wind turbine blades play a key role in generating wind power. Aiming at the problem that the wind turbine blades are subjected to multiple loads in combination, the crack problem is easy to occur. Through the analysis of the macroscopic expansion mechanism and microscopic damage mechanism of short cracks and main cracks, the hidden relationship between crack appearance and damage nature is deeply explored. A fault diagnosis algorithm for wind turbine blades established on the basis of the BP neural network is raised. On the multi-discriminator fusion network structure, BP neural network algorithm is used to train the multi-feature sample data including wind turbine blades, so that the network parameters tend to convergence and gradually approach the real tag. The experimental analysis shows that the algorithm effectively diagnoses and evaluates the damage degree of the blade structure, and has a high recall rate and accuracy, which proves the effectiveness and robustness of the algorithm.
The Impact of Assessment Training on EFL Writing Classroom Assessment: Voices of Mexican University Teachers

The extent to which writing assessment training (WAT) impacts writing scores has been widely explored in L2 testing contexts. However, little is known of the benefits of WAT to classroom assessment of writing. This paper analyzes the impact of two WAT sessions on the classroom assessment of writing of eleven EFL Mexican university teachers. Twenty-two interview transcripts suggested an impact in three main areas: classroom teaching of writing, classroom assessment of writing, and teacher self-awareness. The category of teacher self-awareness displayed the most impact. The paper proposes a categorization of impact on writing assessment.
Socio‐economic groups moving apart: An analysis of recent trends in residential segregation in Australia's main capital cities

We study changes in the spatial distribution and segregation of socioeconomic groups in Australia using a new dataset with harmonised census data for 1991 and 2011. We find a general increase in residential segregation by education and occupation groups across the major capital cities in Australia. Importantly, these trends cannot be explained in general by changes in the demographic structure of groups and areas but rather by the rise in the over and underrepresentation of groups across areas. In particular, our analysis reveals clear diverging trends in the spatial configuration of high and low socioeconomic groups as measured by their occupation and education. While high-skilled groups became more concentrated in the inner parts of cities, the low-educated and those working in low-status occupations became increasingly overrepresented in outer areas. This pattern is observed in all five major capital cities but it is especially marked in Sydney, Melbourne, and Brisbane
Deep Learning in Aircraft Design, Dynamics, and Control: Review and Prospects

In recent decades, deep learning (DL) has become a rapidly growing research direction, redefining the state-of-the-art performances in a wide range of techniques, such as object detection and speech recognition. In the aircraft design, dynamics, and control field, many works hinge on the information-rich data-driven approach, which includes the fusion-based prognostic and health management, the airliner's flight safety monitoring, intelligent sensing, and flight control systems development. While DL provides great potentials to solve these data-driven problems, a systematic review and discussion as to how the DL has been/can be used for these problems are still missing in relation to the rapidly developing and widely used DL techniques. In this article, we aim to address this urgent issue to provide a timely overview of the state-of-the-art for applying DL to the aircraft design, dynamics, and control field. In particular, we briefly introduce five representative DL methods, i.e., deep neural network, deep autoencoder, deep belief network, convolutional neural network, and recurrent neural network. Mathematical definitions for each method are presented, and illustrative applications are also discussed. We then review the existing DL-based works that have appeared in the aircraft design, dynamics, and control field. The review efforts are divided into two major groups, i.e., the own-ship aircraft modeling, wherein the works have been/can be implemented online for the aircraft design/dynamics/control, and other airplanes research works, wherein DL-based schemes provide offline monitoring of the aircraft operation. We then summarize the data sources and DL architectures. Referring to the experiences of DL research works/techniques development in other related fields, future opportunities, challenges, and potential solutions for implementing DL in the aircraft design, dynamics, and control field are also discussed.
Relationship of Malnutrition in Children with Food and Nutrition Insecurity in Fars Province, Iran

Background: Because of the high prevalence and serious complications of malnutrition in children, in this study, we aimed to evaluate the association of malnutrition in children with food and nutrition insecurity in Fars Province, Iran. Methods: In this case-control study, all 6 - 60-month-old children living in Fars Province in 2015, whose weight-for-age curve was below the third percentile, were included as the malnourished group (case group). Also, 1000 sex- and age-matched children without any growth retardations were selected as the well-nourished group (control group). The children’s food and nutrition insecurity was evaluated using a questionnaire consisting of the child's feeding, household sanitation status, and food security, besides maternal knowledge and practice about child nutrition. Finally, the food insecurity status of the two groups was compared. Results: Based on the findings, 943 (47.1%) children lived in food-insecure households, with a higher percentage of malnourished children than well-nourished ones (57.8% vs. 36.5%; P < 0.001). The probability of malnutrition in children with unemployed fathers was twice as high as those with full-time working fathers (OR = 0.56, 95% CI: 0.38 - 0.83). Malnutrition in children was significantly associated with their birth weight (P < 0.001), maternal body mass index (P < 0.001), maternal knowledge and practice about child feeding (P < 0.001 for both), and having sanitary latrines at home as an indicator of household sanitary status (P < 0.001). Conclusions: Malnutrition in children had significant associations with many aspects of food and nutrition insecurity. To decrease the prevalence of malnutrition, health systems, and other organizations should design policies to improve food insecurity, especially those focusing on family education and nutritional support for low socioeconomic families.
Trends in Performance Limits of the HOT Infrared Photodetectors

The cryogenic cooling of infrared (IR) photon detectors optimized for the mid- (MWIR, 3–5 µm) and long wavelength (LWIR, 8–14 µm) range is required to reach high performance. This is a major obstacle for more extensive use of IR technology. Focal plane arrays (FPAs) based on thermal detectors are presently used in staring thermal imagers operating at room temperature. However, their performance is modest; thermal detectors exhibit slow response, and the multispectral detection is difficult to reach. Initial efforts to develop high operating temperature (HOT) photodetectors were focused on HgCdTe photoconductors and photoelectromagnetic detectors. The technological efforts have been lately directed on advanced heterojunction photovoltaic HgCdTe detectors. This paper presents the several approaches to increase the photon-detectors room-temperature performance. Various kinds of materials are considered: HgCdTe, type-II AIIIBV superlattices, two-dimensional materials and colloidal quantum dots.
Perceived Faultlines in Group Dynamics: An Individual-Level Perspective

The authors elaborate a multilevel model of faultline perceptions across individuals in groups. They develop the concept of individual perceived faultlines and build logic about an individual-level antecedent—expectations for relationship conflict held even before a group is formed. They explain how its impact persists over time to influence individual satisfaction with the group, and how individuals update faultline perceptions in response to common contexts and social processes. Findings indicate that expectations for relationship conflict, despite being held before the group forms, influence individuals’ satisfaction with the group. The effect is mediated by initial and later-stage individual perceived faultlines.
Incidents and adverse events notified at hospital level

Objective: to identify the incidents and adverse events notified in a large size hospital. Methods: a retrospective study was carried out based on data extracted from handwritten notifications sheets, made available by the Patient Safety Nucleus of a large size hospital. The following variables were analyzed: type of incident, according to international safety goals; severity of the incidents with damage; and measures proposed to minimize the effects of the notified incident. Results: among the 1167 notifications, 653 (66.8%) of the incidents were related to pharmacovigilance, 563 (48.6%) presented as potential harm, 355 (28.7%) caused harm to the patient and of these, 228 (68.0%) were of mild intensity. Proposed actions were described in 705 (60.4%) of the notifications. Conclusion: the notifications allowed identifying a high number of incidents with potential to cause harm, denoting failures that could be minimized with the implementation of institutional protocols and professional training.
Conservation Agriculture: A Way for Soil Water Conservation

World population is going on increasing, it may be 2.4 billion by 2050, but stabilizing the yield of crop is questionable in Indian agriculture due to improper management of agricultural land. Excess tillage accelerate the organic matter oxidation present on the top soil, soil erosion and creates subsurface hard pan. This makes the field unsuitable for cultivation of crops in future. Climate change is worsening the situation by imposing water scarcity in India. So to evade these problems, conservation agriculture is the only way. Main objectives of conservation agriculture is reducing tillage, year round cropping, crop rotation, mulching may be live or residue. Due to reduced mechanical tillage, activity of micro flora and macro flora get increases that improves biological tillage of soil, that in turn improves soil structure and enhances the plant growth. Most of the studies showed that the cost of wheat production and CO2 emission from the field is reduced when conservation agriculture was fallowed in rice-wheat cropping system. Crop rotation and also mixed cropping improves soil fertility and also it reduces soil erosion. It can be a part of climate smart agriculture. It reduces greenhouse gas emission and also it can improve carbon sequestration. Considerably it can save 20-30% of water.