Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Lanthanum and Zeolite Structure on Hydrocarbon Storage

Hydrocarbon traps can be used to bridge the temperature gap from the cold start of a vehicle until the exhaust after-treatment catalyst has reached its operating temperature. In this work, we investigate the effect of zeolite structure (ZSM-5, BEA, SSZ-13) and the effect of La addition to H-BEA and H-ZSM-5 on the hydrocarbon storage capacity by temperature-programmed desorption and DRIFT spectroscopy. The results show that the presence of La has a significant effect on the adsorption characteristics of toluene on the BEA-supported La materials. A low loading of La onto zeolite BEA (2% La-BEA) improves not only the toluene adsorption capacity but also the retention of toluene. However, a higher loading of La results in a decrease in the adsorbed amount of toluene, which likely is due to partial blocking of the pore of the support. High loadings of La in BEA result in a contraction of the unit cell of the zeolite as evidenced by XRD. A synergetic effect of having simultaneously different types of hydrocarbons (toluene, propene, and propane) in the feed is found for samples containing ZSM-5, where the desorption temperature of propane increases, and the quantity that desorbed increases by a factor of four. This is found to be due to the interaction between toluene and propane inside the structure of the zeolite.
COMPUTER AIDED DETECTION OF LUNG CYSTS USING CONVOLUTIONAL NEURAL NETWORK (CNN)

Lung cancer is one of the baleful diseases. The survival rate will be low if the diagonisation and treatment of lung tumour gets delayed. But the survival rate and saving lives can be enhanced with opportune diagnosis and prompt treatment. The seriousness of the disease calls for a highly efficient system that can identify cancerous growth with high accuracy level. Computer Tomography (CT) scan is used to obtain detailed picture of different body parts. However it is difficult to scrutinize the presence and coverage of cancerous cells in the lungs using this scan; even for professionals. So a new model based on the Mumford and Shah Model using convolutional neural network (CNN) classification is proposed in this paper. The proposed model will provide an output with higher efficiency and accuracy in lesser amount of time. This system uses seven metrics for assessment used in this system are Classification Accuracy, sensitivity, AUC, F Measure, Specificity, precision, Brier Score and MCC. And finally the results obtained using SVM are then compared in terms of these seven metrics with the results obtained using Decision-Tree, KNN, CNN and Adaptive Boosting algorithms, and this clearly shows the higher accuracy of the proposed system over the existing system.
Antiproliferative Activity of Bombax ceiba Flower Extract against Mammary Gland Carcinoma in Rats

Breast cancer is the leading cause of cancer-related deaths among women. The present study evaluates the potential therapeutic effects of a methanol extract of Bombax ceiba flowers on cancerous changes in the mammary glands of rats. Mammary gland tumors were induced in female rats with 7,12 dimethylbenz (a) anthracene, with phorbol used as a promotor. PI3K/AKT, Ki-67, TGFβ, and Bcl2 as markers for tumor-cell proliferation and progression were assessed by an enzymelinked immunosorbent assay in serum and tissues. Mammary gland tissue samples were collected for histopathology and immune staining for Ki-67. All markers increased significantly in the rat-breast cancer model. The extract minimized cancer-cell proliferation, as evidenced by a substantial reduction in the levels of all markers in both serum and tissues and supported by histopathological findings and immunexpression of Ki-67.B. Ceiba. The flower extract ameliorate the action against exaggerated cell proliferation associated with mammary gland tumors, suggesting a possible use of it as a complementary anticancer therapy.
Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park

With the general objective of producing a 2018–2020 Land Use/Land Cover (LULC) map of the Maiella National Park (central Italy), useful for a future long-term LULC change analysis, this research aimed to develop a Landsat 8 (L8) data composition and classification process using Google Earth Engine (GEE). In this process, we compared two pixel-based (PB) and two object-based (OB) approaches, assessing the advantages of integrating the textural information in the PB approach. Moreover, we tested the possibility of using the L8 panchromatic band to improve the segmentation step and the object’s textural analysis of the OB approach and produce a 15-m resolution LULC map. After selecting the best time window of the year to compose the base data cube, we applied a cloud-filtering and a topography-correction process on the 32 available L8 surface reflectance images. On this basis, we calculated five spectral indices, some of them on an interannual basis, to account for vegetation seasonality. We added an elevation, an aspect, a slope layer, and the 2018 CORINE Land Cover classification layer to improve the available information. We applied the Gray-Level Co-Occurrence Matrix (GLCM) algorithm to calculate the image’s textural information and, in the OB approaches, the Simple Non-Iterative Clustering (SNIC) algorithm for the image segmentation step. We performed an initial RF optimization process finding the optimal number of decision trees through out-of-bag error analysis. We randomly distributed 1200 ground truth points and used 70% to train the RF classifier and 30% for the validation phase. This subdivision was randomly and recursively redefined to evaluate the performance of the tested approaches more robustly. The OB approaches performed better than the PB ones when using the 15 m L8 panchromatic band, while the addition of textural information did not improve the PB approach. Using the panchromatic band within an OB approach, we produced a detailed, 15-m resolution LULC map of the study area.
Unsupervised changes in core object recognition behavioral performance are accurately predicted by unsupervised neural plasticity in inferior temporal cortex

Temporal continuity of object identity is a natural feature of visual input statistics, and it is potentially exploited -in an unsupervised manner -by the ventral visual stream to build and re-shape the neural representation in inferior temporal (IT) cortex and ITdependent core object recognition behavior. Prior psychophysical studies in humans and electrophysiological studies in monkey IT are individually supportive of this hypothesis. However, due to differences in tasks and experience manipulations, it is not yet known if the reported plasticity of individual IT neurons and the reported human behavioral changes are quantitatively consistent. Here we tested that consistency by building an unsupervised plasticity model that captures the previously-reported IT neural plasticity and combined that model with a previously established IT-to-recognition-behavior linking model. We compared the predictions of the overall model with the results of three new human behavioral experiments: in each we delivered a different type of unsupervised temporal contiguity experience and longitudinally measured its effect on performance of targeted object discrimination tasks. We found that, without any parameter tuning, the overall model accurately predicted the mean direction, magnitude and time course of performance changes in all three of these experiments. We also found a previously unreported dependency of the observed human performance change on the initial difficulty of the targeted object discrimination task, which was also largely predicted by the overall model. This result demonstrates the interlocking consistency of a range of prior neural and behavioral work, and thus adds support to the hypothesis that tolerant core object recognition in human and non-human primates is instructed -at least in part -by naturally occurring unsupervised temporal contiguity experience.
TOWARD UNDERSTANDING THE KNOWLEDGE ON THE CONCEPTS AND ARABIC TERMS IN TAKAFUL

The word takaful is derived from the Arabic word kafala which means to guarantee, looking after or trust. The noun takaful is derived from the adverb takafala which literally translates to “looking after one another”. The market share of takaful in the insurance industry is only 5.1 percent. It is extremely low compared to 31 percent for the conventional insurance market despite the existence of takaful in Malaysia since 1984. This article investigates this issue by discussing the results of a study on the level of knowledge and understanding among Muslims in Malaysia towards the concepts of Arabic and shariah terms in takaful. A sample of 500 Muslim banking customers in Kuala Lumpur was surveyed. Surprisingly, the majority of respondents did not know and understand about tabarru’ which is the main and core feature of takaful which distinguishes it from conventional insurance. Most of the respondents did not know about the newly practiced in takaful i.e. al-ujrah (commission) and al-wakalah (agent). A majority of respondents did not know and understand about the elements of gharar and maysir which make conventional insurance go against the principles of shariah. The majority of respondents agreed with the use of Arabic terms in takaful. The most quoted reasons by the respondents are to differentiate the concept of takaful from conventional insurance and to show that takaful promotes Islamic finance products. Some of the findings in this study may be useful to the takaful companies in their effort to enhance their marketing and promotion activities.
Ferroptosis in Different Pathological Contexts Seen through the Eyes of Mitochondria

Ferroptosis is a recently described form of regulated cell death characterized by intracellular iron accumulation and severe lipid peroxidation due to an impaired cysteine-glutathione-glutathione peroxidase 4 antioxidant defence axis. One of the hallmarks of ferroptosis is a specific morphological phenotype characterized by extensive ultrastructural changes of mitochondria. Increasing evidence suggests that mitochondria play a significant role in the induction and execution of ferroptosis. The present review summarizes existing knowledge about the mitochondrial impact on ferroptosis in different pathological states, primarily cancer, cardiovascular diseases, and neurodegenerative diseases. Additionally, we highlight pathologies in which the ferroptosis/mitochondria relation remains to be investigated, where the process of ferroptosis has been confirmed (such as liver- and kidney-related pathologies) and those in which ferroptosis has not been studied yet, such as diabetes. We will bring attention to avenues that could be followed in future research, based on the use of mitochondria-targeted approaches as anti- and proferroptotic strategies and directed to the improvement of existing and the development of novel therapeutic strategies.
DETERMINANT RISK FACTORS OF WMSDS AMONG NURSES AT PUBLIC HOSPITAL IN BANDAR LAMPUNG, INDONESIA

Background: An incompatibility of ergonomic principles in nurses often results in complaint of Workrelated Musculoskeletal Disorders (WMSDs). Marital status, physical fitness, workload and work posture are risk factors of WMSDs. Objective: To determine the risk factors of WMSDs among nurses at Public Hospital in Bandar Lampung. Materials and Methods: Design of this study was cross sectional. Data on marital status, physical fitness, workload, work posture and WMSDs was collected 124 nurses, through a purposive sampling technique. We used self-administered questionnaires for assessing marital status, physical fitness, and workload. Rapid Upper Limb Assessment (RULA) to assessed work posture and Nordic Body Map to assessed WMSDs. Logistic regression analyses were done to find determinant risk factors of WMSDs (CI = 95%). Results: From 124 nurses we found that 33,5% (n=44) single, 64,5% (n=80) got married; 33.9% (n=42) with sufficient physical fitness; 66.1% (n=82) with less physical fitness; 21.0% (26) with underload workload; 45.2% (n=56) with moderate workload; 33.9%(n=42) with overload workload; 34.7% (n=43) with not risky work postures; 65.3% (n=81) with risky work postures; 25% (n=32) without WMSDs complaints; 74.2% (n=92) with WMSDs complaints. Multiple logistic regression analyses showed that physical fitness (OR= 5,9), work posture (OR=8,5) and workload (OR=14) significantly increased the risk of WMSDs. Conclusion: There were significant association between physical fitness, workload, and work posture with risk of WMSDs. Physical activity and ergonomic program may be useful to reduce the risk of WMSDs.
ESTIMATING DYNAMIC LIMITED DEPENDENT VARIABLE MODELS FROM PANEL DATA

We propose a simple two-step within-groups estimator for limited dependent variable models, which may include lags of the dependent variable, other endogenous explanatory variables, and unobservable individual e®ects. The models that we present are extensions of the random e®ects probit model of Chamberlain (1984), and have application in the analysis of binary choice, linear regression subject to censoring, and other models with endogenous selectivity. The estimator is based on reduced form predictions of the latent endogenous variables. We also show how to obtain, in one more step, chisquared test statistics of the overidentifying restrictions, and linear GMM estimators that are asymptotically e±cient. (JEL C23)
Beggar-Thy-Women: Domestic Responses to Foreign Bride Competition, the case of Taiwan

In recent years, one in five marriages in Taiwan was to a foreign bride, mainly from China and Vietnam, fellow East Asian countries but substantially poorer. In this paper we study the impact on the domestic marriage market. We find that an inflow of foreign brides raises fertility and reduces the divorce risk of domestic couples. These results, we argue, are consistent with a model of marriage in which men employ women to produce children but women can shirk – the penalty of which is divorce. From the threat of foreign bride competition, women exert more effort, fertility increase and divorce risk declines. Our dataset consists of the universe of all marriages, divorces and the subsequent birth records between 1998-2006 in Taiwan. To address the endogeneity problem, we exploit a policy change in 2004 which restricts the entry of Chinese brides. We find that every 10 percentage points increase in foreign bride share increases local women’s probability of having a child by 9.9 percentage points and decrease local women’s probability of divorce by 0.79 percentage points. Preliminary Draft. Please do not cite and do not circulate. JEL Classification: : J12, O15, D1
UTILITY OF NEUTROPHIL GELATINASE-ASSOCIATED LIPOCALIN(NGAL) AS A BIOMARKER IN EARLY DETECTION OF NEPHROPATHY IN PATIENTS WITH TYPE 2 DIABETES MELLITUS

Diabetic nephropathy (DN) is one of the most common microvascular consequences of diabetes, affecting up to 20% to 40% of T2DM patients and potentially leading to end-stage renal disease (ESRD), increasing T2DM patients' mortality and morbidity. Early identification of DN, on the other hand, is vital for better clinical treatment, and therapeutic intervention at an early stage of the disease is vital to avoid progression to ESRD and dialysis. The goal of this study was to see if neutrophil gelatinase-associated lipocalin (NGAL) might be used as a biomarker for the early diagnosis of nephropathy in type 2 diabetic patients. The current study was performed on (60) patients with T2DM. These patients were divided into two equal groups according to their urinary albumin to creatinine ratio (ACR), including patients with normoalbuminuria (No.=30)(ACR less than 30 mg/g creatinine) and those with microalbuminuria (No.=30)(ACR= 30 – 299 mg/g creatinine). Thirty healthy persons matching the same age and sociodemographic status with diabetics subjects were selected as a control group. The concentration of glucose, HbA1c, urea, and creatinine by colorimetric methods were measured for all participants, turbidimetric method for the quantitative determination of microalbumin in human urine, and NGAL by ELIZA method. The serum levels of NGAL were significantly elevated in patients with T2DM with microalbuminuria compared to those with normoalbuminuria and control groups with highly statistically significant difference P(<0.001). In addition, Serum NGAL showed a positive correlation with ACR and a negative correlation with eGFR. The receiver operating characteristic curve (ROC) was used to assess the diagnostic value of NGAL in identifying microalbuminuric from normoalbuminuric diabetic patients. The area under the curve (AUC) was 0.886, 95%CI=(0.798 0.975), p< 0.001. The sensitivity and specificity of the test at the cut-off value of NAGL= 167.25 ng/ml were 84% and 80%, respectively. The study concluded that serum NGAL levels may be considered as an independent and reliable biomarker for early detection of DN because its sensitivity and specificity is more than 80% in T2DM with microalbuminuria patients. This suggests that sNGAL may become a useful and practical tool for the evaluation of renal impairment in course of diabetes.
Mutations in ATL Transformations and their Identiﬁcation with Matching Tables –Technical Report–

In this technical report we explain with detail the experiments realized in the context of tractable fault localization in model transformations with regards to the diﬀerent mutations performed in diﬀerent model transformations. For each mutation realized, we show the computed matching tables as well as how to identify the guilty rule.
The Intervening Effect of Work Motivation Variables on the Relationship between Performance Appraisal Systems and Internal Organizational Communication on Employee Performance

The motivation of this study is to create high-performing employees in accordance with the bureaucratic reform plan with the hope that human resources will be better, more competent, and more productive. This study aims to determine the effect of work motivation as an intervening variable on the relationship between performance appraisal systems and organizational internal communication on employee performance of the National Archives employees of the Republic of Indonesia. The sampling technique used stratified random sampling technique, and the interviewees in this study were 108 people who were interviewed. This research uses SEM-PLS technology. The results of the analysis showed that all the independent variables in this study have an influence on the dependent variable, and the performance evaluation system, work motivation, and internal organizational communication have a significant effect on employee performance. Meanwhile, work appraisal system variables and organizational internal communication that affect performance through work motivation have a mediating relationship or indirect influence.
A study about web accessibility in Portuguese museums: How to overcome the main difficulties

Museums and their websites are an important component in the promotion of accessible tourism. However, some problems related to web accessibility may raise great barriers to the practice of tourism by people with disabilities. This study evaluates the level of website accessibility of museums located in Portugal, as it illustrates the importance of information being presented in an accessible way. A sample of 575 websites was analysed based on Web Content Accessibility Guidelines (WCAG) 2.0, using an automatic web diagnostic tool (AccessMonitor). This analysis was performed considering the A, AA, and AAA conformance levels of WCAG. Currently the state of web accessibility levels is medium, and there are still constraints that make information gathering difficult for visitors with disabilities. After the barriers are identified, proposals to design more accessible websites are presented. These proposals contribute to making museums’ online information accessible to all people, independently of their needs and functional limitations.
Analysis of the European historical and political experience in acknowledging and promoting the values of culture

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Analysis of the European historical and political experience in acknowledging and promoting the values of culture Claire Dedieu, Félix Dupin-Meynard, Eszter György, Emmanuel Négrier, Gábor Oláh, Gábor Sonkoly
Value of electroencephalography for prognosis and treatment of comatose patients after circulatory arrest

All comatose patients after circulatory arrest initially have a severely abnormal disturbed electroencephalogram. The speed of normalisation is a robust contributor to prediction of outcome. Differences between patients with poor and good outcome are largest <24 hours after the arrest. Lasting suppression at ≥12 hours or synchronised patterns with >50% suppression at ≥24 hours are invariably associated with poor outcome. This includes burst suppression with identical bursts and generalised periodic discharges on a suppressed background. Recovery towards continuous patterns within 12 hours is strongly associated with a good outcome. Predictive values are highest at <24 hours despite the use of mild therapeutic hypothermia or sedative medication. Additional value of electroencephalography reactivity for the prediction of poor outcome is negligible. Computer-assisted analysis is equally reliable and may facilitate the use of the electroencephalogram at the bedside on intensive care units. Whether or not treatment of electrographic status epilepticus improves outcome is being studied in the Dutch multicentre randomised TELSTAR trial (NCT02056236).
An FPGA-Based Convolutional Neural Network Coprocessor

In this paper, an FPGA-based convolutional neural network coprocessor is proposed. The coprocessor has a 1D convolutional computation unit PE in row stationary (RS) streaming mode and a 3D convolutional computation unit PE chain in pulsating array structure. The coprocessor can flexibly control the number of PE array openings according to the number of output channels of the convolutional layer. In this paper, we design a storage system with multilevel cache, and the global cache uses multiple broadcasts to distribute data to local caches and propose an image segmentation method that is compatible with the hardware architecture. The proposed coprocessor implements the convolutional and pooling layers of the VGG16 neural network model, in which the activation value, weight value, and bias value are quantized using 16-bit fixed-point quantization, with a peak computational performance of 316.0 GOP/s and an average computational performance of 62.54 GOP/s at a clock frequency of 200 MHz and a power consumption of about 9.25 W.