Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of an Integrated Environmental Impact Assessment Model for Assessing Nitrogen Emissions from Wastewater Treatment Plants

Environmental impact of the WWTP is assessed using LIME2, Japanese Life cycle impact assessment model. Environmental loads shown in Fig. 1 is assessed in this study. Pollutants and substances cause environmental problem (Midpoint) and damage human, ecosystem, and social assets (Endpoint). We newly developed. This study impacts to the endpoints are converted economic value to enable compare total impact on environment. To estimate damage factor (DFNH4-N in equation(2)) data of environmental water in Saitama Pref. , Japan is obtained. The WWTP is operated by the conventional activated sludge process with continuous aeration under two operating conditions (case 1 and case 2) . The wastewater was treated with less aeration in case 1, to save electricity consumption, without nitrification. In case 2 nitrification was accelerated with a large rate of aeration.
Dynamic Shaping Method using SDN And NFV Paradigms

Traffic shaping controls communication traffic flow to prevent a specified communication rate from being exceeded. In conventional networks, the traffic shaping device is implemented at a predetermined location and only a communication flow passing through the device is targeted. If the traffic can be shaped dynamically on any selected communication flows at the optimal point only when necessary, it could use network bandwidths and packet relay processing capacity more efficiently and flexibly. This paper proposes a dynamic shaping method using Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) paradigms, which selects the optimal communication flows to be shaped, and the optimal shaping points dynamically. This paper also presented system configuration and functions for the proposed dynamic shaping, and the method to simplify the process of collecting the traffic data of each communication flow by SDN controller.
Application of Travel Service Recommendation Algorithm Based on Cloud Computing

In the context of big data, traditional collaborative filtering recommendation algorithms cannot provide users with accurate recommendation services, making the sparsity of user data become an important factor affecting the accuracy of recommendation in the complex social network environment. This paper mainly studies the design and application of travel service recommendation algorithm based on cloud computing. In this paper, the data is processed based on MapReduce parallel computing framework to improve the performance and speed of the algorithm. The Linux-equipped cluster is deployed under the Hadoop framework. The cluster feasibility test is carried out to realize the recommendation function of the algorithm, and the function of the algorithm is realized according to the actual problems. On the Hadoop big data platform, the traditional algorithm was improved and the hadoop-based collaborative filtering recommendation algorithm was implemented to further improve the recommendation rate and accuracy of the traditional recommendation filtering algorithm.
Noncognitive skills and gender gap in test scores

ABSTRACT This article studies gender gap patterns in language and math during primary school periods in China, and investigates candidate theories to explain the observed patterns. Using an administrative test dataset, we find that girls on average outperform boys in language and have advantage in math in primary school. The gaps for language in all quantiles widen consistently over time. Female’s advantages in math in most quantiles, except the lowest, shrink over time. Using a survey on students in primary schools, we find that noncognitive skills can effectively reduce the gender gap in both Chinese and math. This effect is most pronounced for students in the bottom quantile group.
RISK FACTORS IN PULMONARY TUBERCULOSIS TREATMENT FAILURE

Pulmonary tuberculosis (TB) is a global health problem and has become the leading cause of death. Tuberculosis eradication is inhibited due to the tendency of patients to not complete the TB treatment. The purpose of this study was to determine the relationship between knowledge, nutritional status, oral medication adherence, and family support as risk factors for pulmonary tuberculosis treatment failure. The design of this study is that of case-control, and this study involved samples of pulmonary TB patients who were declared not cured after treatment (14 people), and control samples of pulmonary TB patients who were declared cured (28 people). The data were obtained through measurements of nutritional status and interviews, while treatment failure was based on data from the TB 01 form. Data was analysed using univariable and bivariable analyses, and the magnitude of risk factors was based on the odds ratio (OR) and 95% confidence interval (CI). The results showed that the factors associated with failure of pulmonary TB treatment are knowledge (p = 0.022; OR = 6.6; 95% CI = 1.48 - 29.36), nutritional status (p = 0.005; OR = 9.16; 95% CI = 2.11 - 39.85), and medication adherence (p = 0.003; OR =11.0; 95% CI = 2.37 - 54.14), whereas the unrelated factor is family support (p = 0.47). It is recommended to provide counselling, nutritional guidance, medication assistance, and family support to patients during the treatment period for pulmonary tuberculosis. Keywords : treatment failure, knowledge, nutritional status, compliance
Graphene‐Based Cementitious Composites: Toward Next‐Generation Construction Technologies

The search for technological solutions to the ever‐increasing demand for ultra‐high‐quality concrete with the simultaneous construction boom represents one of the greatest challenges concrete researchers are facing nowadays. In view of their unique properties, graphene and related materials, when utilized to form graphene‐based cementitious composites, appear to be powerful components to give a boost to today's concrete technology. In this review, the most enlightening recent advancements in the development of fabrication protocols for obtaining the homogenous dispersion of graphene and derivatives thereof within the cement matrix are showcased. The hydration process and basic properties of graphene‐based cementitious materials are also discussed. The integration of graphene‐family materials to concrete technology allows new functions to be imparted to cement composites toward the construction of smart and multifunctional buildings. Therefore, a specific focus is given to the electrical and piezoresistive behavior of graphene‐cement composites, and ultimately their great potential for structural health monitoring applications. The approaches proposed in this review can be also extended to other 2D materials offering the broadest arsenal of physical properties, which can therefore be integrated on‐demand in future smart structures and constructions.
A W‐band preamplified MMIC power detector for passive imaging applications

This article presents a W‐band preamplified power detector (PD) monolithic microwave integrated circuit (MMIC). The chip consists of a pseudomorphic high electron mobility transistor (pHEMT) PD with a six‐stage low noise amplifier (LNA) in a commercial 0.1‐μm GaAs pHEMT technology. In order to reduce the high risk of oscillating in a multistage LNA, a circulator‐based method for LNA interstage stability simulation, along with the concept of loop gain, is introduced and analyzed. The simulated loop gain of each node of the LNA is calculated through the proposed method to ensure the unconditional stability for the six‐stage LNA. By incorporating the high gain LNA over 32 dB in the front‐end of the PD, the measured chip achieves a peak responsivity of 3.4 MV/W and a minimum noise equivalent power (NEP) of 95 fW/Hz1/2 both at 85 GHz. To the best of the authors' knowledge, the proposed PD exhibits the best responsivity and NEP in published W‐band GaAs PD MMICs.
Protection of ZnO Nanoparticles to Beauveria bassiana Conidia from Ultraviolet Radiation and Their Biocompatibility

ZnO nanoparticles modified with oleic acid were prepared by chemical precipitation method,and their ultraviolet absorption properties and protection efficiency to Beauveria bassiana conidia in oil formulation were investigated.The mixture of ZnO nanoparticles and conidia were observed with SEM,and their biocompatibility was evaluated,based on significant difference levels which were analyzed by measuring germination percentage of conidia in formulation after storage.The results show that the obtained ZnO nanoparticles with particles size of 27 nm had a strong absorption in 200—370 nm ultraviolet wavelength range.After 8 h exposure to xenon light,the protection efficiency of ZnO nanoparticles to conidia in oil formulation with 1.0%,2.0% and 5.0%(mass fraction) ZnO nanoparticles were over 60%,while the control group's protection efficiency was 9.7%. ZnO nanoparticles were absorbed on the surface of conidia and a coating layer that provided protection to conidia from UV degradation was formed.After 10 months room storage,there were no significant differences for conidia germination among four oil formulations containing 0,0.5%,1.0% and 2.0% ZnO nanoparticles.As a result,ZnO nanoparticles had a good biocompatibility with Beauveria bassiana.The concentration of ZnO nanoparticles added to conidia oil formulation should be 1.0%—2.0%.
Using the L1 in university-level EMI: attitudes among lecturers in Spain

Abstract English medium instruction (EMI) is widespread in European universities. In most such contexts, students and teachers are able to communicate in at least one other language, generally the shared L1. Recent studies in English-speaking countries and postcolonial settings have suggested that attitudes towards L1 use in EMI are changing, and that multilingualism in the classroom is accepted or even positively embraced. However, some studies in expanding circle countries such as Spain and Turkey indicate that this trend is not universal. This paper uses evidence from narrative frames administered to 60 EMI lecturers at 5 universities in northern Spain to investigate their attitudes to L1 use, identify how these intersect with their age, years of experience in EMI, gender and subject area, and shed light on their conceptualisations of EMI and emergent practices. Around half believed that L1 use was not acceptable, while most of the others only allowed the L1 in highly circumscribed conditions (to repair breakdowns in communication, to foster empathy outside the classroom, or to refer to local phenomena). Our evidence reflects the struggle to further the use of English in EMI settings where this language is a relative newcomer.
Hsp60 Quantification in Human Gastric Mucosa Shows Differences between Pathologies with Various Degrees of Proliferation and Malignancy Grade

Background: Stomach diseases are an important sector of gastroenterology, including proliferative benign; premalignant; and malignant pathologies of the gastric mucosa, such as gastritis, hyperplastic polyps, metaplasia, dysplasia, and adenocarcinoma. There are data showing quantitative changes in chaperone system (CS) components in inflammatory pathologies and tumorigenesis, but their roles are poorly understood, and information pertaining to the stomach is scarce. Here, we report our findings on one CS component, the chaperone Hsp60, which we studied first considering its essential functions inside and outside mitochondria. Methods: We performed immunohistochemical experiments for Hsp60 in different samples of gastric mucosa. Results: The data obtained by quantitative analysis showed that the average percentages of Hsp60 were of 32.8 in normal mucosa; 33.5 in mild-to-moderate gastritis; 51.8 in severe gastritis; 58.5 in hyperplastic polyps; 67.0 in intestinal metaplasia; 89.4 in gastric dysplasia; and 92.5 in adenocarcinomas. Noteworthy were: (i) the difference between dysplasia and adenocarcinoma with the other pathologies; (ii) the progressive increase in Hsp60 from gastritis to hyperplastic polyp, gastric dysplasia, and gastric carcinoma; and (iii) the correlation of Hsp60 levels with histological patterns of cell proliferation and, especially, with tissue malignancy grades. Conclusions: This trend likely reflects the mounting need for cells for Hsp60 as they progress toward malignancy and is a useful indicator in differential diagnosis, as well as the call for research on the mechanisms underpinning the increase in Hsp60 and its possible roles in carcinogenesis.
The Effect of Copper, Zinc, Cobalt and Manganese on the Growth of the Marine Diatom Nitzschia closterium

RoSKO, JOHN J., and JOSEPH W. RACHLIN (Dept. Biol. Sciences, Lehman Coll., City Univ. of New York, Bronx, New York 10468). The effect of copper, zinc, cobalt and manganese on the growth of the marine diatom Nitzschia closterium. Bull. Torrey Bot. Club 102: 100-106. 1975. -ATn extension of a previously pnblished algal cell technique (Rachlin and Farran 1974) was used in this study to monitor the effects of copper, zinc, cobalt ancd manganese on the growth of the diatom Nitzschia closterium which had been isolated from the western end of Long Island Sound. The concentration of each metal which depressed the growth rate of this speeies by 50% (EC,0) after a 96 hr exposure was calculated to be 0.0329+0.00005 ppm for Cu, 0.271+0.0003 ppm for Zn, 10.2+0.0164 ppm for Co and 25.7+0.0237 ppm for Mn. The effects of chelation on the toxicity of each metal were also determined. The results of this testing procedure indicate the potential effects of heavy metal stress on primary productivity. This may be of particular concern in waters nearlarge urban centers like New York City, where heavy industrialization may discharge metal toxicants into the aquatic environment.
EFFECT OF VITAMIN D DEFICIENCY ON WOMEN WITH POLYCYSTIC OVARY SYNDROME (PCOS)

The major an endocrine disorder in female is polycystic ovary syndrome (PCOS), characterized by anovulation, irregular menstruation, amenorrhea, hirsutism, and infertility. Recently, interest has increased in studying the effects of Vit. D in many diseases, including PCOS. The goal of this study was to estimate the link of Vit D and the risk of PCOS by measuring estrogen, progesterone, follicle-stimulating hormone (FSH), ovulation hormone, or called luteinizing hormone (LH), thyrotropin (TSH), total cholesterol, triacylglycerol TG, high-density lipoprotein (HDL), low-density lipoprotein (LDL), very-low-density lipoprotein (VLDL), and vitamin D in serum of 100 infertile with PCOS, 60 infertile with non-PCOS, and 60 control group. The results showed increase significantly in the concentration of estrogen, LH, TSH, cholesterol, triacyclglycerol, VLDL, and LDL compared to healthy women at P=0.01 (82.1±33.1 pg/ml), P=0.01 (5.71±3.34 mlU/ml), P=0.001 (2.48±1.23 μlU/ml), P=0.001 (186.3±39.4 mg/dL), P=0.001 (166.3±86.7 mg/dL), P=0.01 (33.4±17.2 mg/dL), and P=0.01 (112.6±34.5 mg/dL), respectively. Further, there was indeed decrease significantly in the concentration of progesterone, FSH, Vit D, and HDL compared to healthy women at P=0.01(1.295±0.82 ng/ml), P=0.001 (4.83±2.9 mlU/ml), P=0.001(11.94±5.82 mg/dL), and P=0.01 (40.83±8.80 mg/dL), respectively. The study showed that there is a strong correlation between vitamin D and the hormonal and biochemical variables that were measured. Therefore, we conclude that Vit. D is a new indicates the increase of infertility with PCOS. "
Suplementasi Soya Yogurt Untuk Perbaikan Kelimpahan Mikroba Sekum (Bakteri Asam Laktat Dan Escherichia coli) Tikus Diabetes Soya Yogurt

Intestinal microbial dysbiosis will triggers metabolic syndrome. The increase in pathogenic bacteria in dysbiosis triggers the high release of lipopolysaccharides which underlie the incidence of insulin resistance in diabetes mellitus. It is important to modulate the intestinal microbiota towards eubiosis through consumption of probiotics. A potential probiotic product is soy yogurt which contains live bacteria and high protein and isoflavones. The aim of this study was to examine the effect of soy Metamorfosa:Journal of Biological Sciences 8(1): 36-46 (Maret 2021) eISSN: 2655-8122 36 yogurt supplementation on the abundance of cecum microbes (Lactic Acid Bacteria and Escherichia coli) in diabetic rats. The research was conducted at the Laboratory of Stikes Wira Medika Bali. Type of research is experimental with a completely randomized design consit of 6 groups. The conditioning of diabetes mellitus was done by induction of nicotinamide 230 mg / kg BW and streptozotozin 65 mg / kg BW. Abundance of cecum microbes analysis using Total Plate Count. The results showed soya yogurt supplementation in rat with diabetes mellitus influential to improving the abundace of microbial cecum. The total abundance of LAB in diabetic rat was 7.36 ± 0.15 Log10 CFU/mL and was significantly different (p <0.05) compared to diabetic rat treated with soy yogurt supplementation, namely as much as 8.08 ± 0.1 Log10 CFU/ml. Meanwhile, the abundance of E. coli in diabetic rat was 9.42 ± 0.12 Log10 CFU/mL and was significantly different (p <0.05) compared to rats treated with soy yogurt supplementation, namely 8.14 Log10 CFU/ml. In conclution, this study show that soya yogurt supplementation has positive corelation to improve cecum microbial density in diabetic rat.
Effect of Scale-Aware Planetary Boundary Layer Schemes on Tropical Cyclone Intensification and Structural Changes in the Gray Zone

Horizontal grid spacings of numerical weather prediction models are rapidly approaching O (1 km) and have become comparable with the dominant length scales of flows in the boundary layer; within such “gray-zone”, conventional planetary boundary layer (PBL) parameterization schemes start to violate basic design assumptions. Scale-aware PBL schemes have been developed recently to address the gray-zone issue. By performing WRF simulations of Hurricane Earl (2010) at sub-kilometer grid spacings, this study investigates the effect of the scale-aware Shin-Hong (SH) scheme on the tropical cyclone (TC) intensification and structural changes in comparison to the non-scale-aware YSU scheme it is built upon. Results indicate that SH tends to produce a stronger TC with a more compact inner core than YSU. At early stages, the scale-aware coefficients in SH gradually decrease as the diagnosed boundary layer height exceeds the horizontal grid spacing. This scale-aware effect is most prominent for the nonlocal subgrid-scale vertical turbulent fluxes, in the non-precipitation regions radially outside of the convective rainband, and from the early stage through the middle of rapid intensification (RI) phase. Both the scale awareness and different parameterization of the nonlocal turbulent heat flux in SH reduce the parameterized vertical turbulent mixing, which further induces stronger radial inflows and helps retain more water vapor in the boundary layer. The resulting stronger moisture convergence and diabatic heating near the TC center account for the faster inner-core contraction before RI onset and the higher intensification rate during the RI period. Potential issues of applying these two PBL schemes in TC simulations and suggestions for improvements are discussed.
Study on farmers’ Pest management strategy, knowledge on pesticide safety and practice of pesticide use at Bhaktapur district, Nepal

Abstract Nepal being an agricultural country, the majority of the population is involved in agriculture. Pests are one of the major problems in the agriculture sector. Pesticides are being widely used to encounter this problem. This study aims to determine the knowledge level of farmers on pesticides and their use. Specifically, it investigates the pest management strategy, pesticide use, and safety measures used by the farmers. For this study, four municipalities of Bhaktapur district were selected with 100 respondents using a random sample design. Primarily, data collection was done through field observations, interviews, and questionnaires. Various secondary data were also used. Our study showed that farmers in this region were mainly dependent on chemical methods. For technical guidance, several applications, and use rates, farmers preferred the agro vets available in their area. As less care and concern were given to safety measures, it was not given top priority. The study showed that the knowledge of various aspects of pesticides, their use, and safety was inadequate among the farmers.
Training sets based on uncertainty estimates in the cluster-expansion method

Cluster expansion (CE) has gained an increasing level of popularity in recent years, and its applications go far beyond its original root in binary alloys, reaching even complex crystalline systems often used in energy materials research. Similar to other modern machine learning approaches in materials science, many strategies have been proposed for training and fitting the CE models to first-principles calculation results. Here, we propose a new strategy for constructing a training set based on their relevance in Monte Carlo sampling for statistical analysis and reduction of the expected error. The CE model constructed from the proposed approach has lower dependence on the specific details of the training set, thereby increasing the reproducibility of the model. The same method can be applied to other machine learning approaches where it is desirable to sample relevant configurational space with a small set of training data, which is often the case when they consist of first-principles calculations.
A deep analysis on high-resolution dermoscopic image classification

Convolutional neural networks (CNNs) have been broadly employed in dermoscopic image analysis, mainly as a result of the large amount of data gathered by the International Skin Imaging Collaboration (ISIC). As in many other medical imaging domains, state ‐ of ‐ the ‐ art methods take advantage of architectures developed for other tasks, frequently assuming full transferability between enormous sets of natural images (e.g. ImageNet) and dermoscopic images, which is not always the case. A comprehensive analysis on the effectiveness of state ‐ of ‐ the ‐ art deep learning techniques when applied to dermoscopic image analysis is provided. To achieve this goal, the authors consider several CNNs architectures and analyse how their performance is affected by the size of the network, image resolution, data augmentation process, amount of available data, and model calibration. Moreover, taking advantage of the analysis performed, a novel ensemble method to further increase the classification accuracy is designed. The proposed solution achieved the third best result in the 2019 official ISIC challenge, with an accuracy of 0.593.
Proteome of Erythroxylum pungens (Erythroxylaceae): an endemic species of the semiarid Caatinga

Abstract Herein the descriptive label-free mass spectrometry (LC-MS/MS) proteome of Erythroxylum pungens (roots, barks, leaves) harvested from its natural habitat is described. Processes related to defense were most important in roots. Main protective proteins differed among organs, suggesting part-specific strategies of environmental adaptation.