Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship among Green Production Benefits: A Causal Model

Green production processes are becoming increasingly important, as consumers not only demand quality, economical and durable products, but also products that are environmentally friendly. Manufacturers are therefore wondering how feasible it is to transform their traditional production process into a green production process, since such transformation involves economic investment and the relationship between these two dimensions is unknown. This article presents a model of structural equations where four different types of benefits are associated: process benefits, quality benefits, market benefits, and green benefits that can be obtained by implementing a green production process and facilitating manufacturers' decision making. The model is validated with information from 559 responses from managers who have applied the concepts of green production processes in the Mexican manufacturing industry. The partial least squares technique is used to validate the models and the results indicate that the four benefits have a direct and positive effect on each other and the most significant is that there are process benefits and quality benefits.
Nucleating effect of multi-walled carbon nanotubes and graphene on the crystallization kinetics and melting behavior of olefin block copolymers

Crystallization is of primary importance to the properties of olefin block copolymers (OBCs). In the present work, multi-walled carbon nanotubes (MWCNTs) and graphene are used as nucleating agents for the crystallization of OBC. Thus nanocomposites of OBC filled with MWCNTs and graphene were prepared by solution blending. Differential scanning calorimetry (DSC) tests were carried out to study the effect of CNTs and graphene on isothermal crystallization of OBC; polarizing optical microscopy (POM), and wide-angle X-ray diffraction (WAXD) were used to study the morphology and crystal structure of OBC and its nanocomposites. It is found that both MWCNTs and graphene act as effective nucleating agents that significantly shorten the induction period of crystallization and increase the crystallization rate of OBC, exhibiting a remarkable decrease in the Avrami exponent n, surface folding energy σe and crystallization activation energy ΔE. These two carbon-based fillers both act as templates for hard block chains of OBC to form an ordered structure on the surface of nanoparticles during the induction period, bringing about some increase in equilibrium temperature. With the decrease in n, σe and ΔE not as remarkable as those of MWCNTs, graphene exhibited weaker nucleating ability than MWCNTs which might be due to strict lattice matching. The melting process of OBC and its nanocomposites are also studied; the nanocomposites exhibit two melting peaks at higher crystallization temperature which mainly refer to the melting of the crystals with different crystal sizes and perfection during heating, which is not observed for neat OBC.
Bactericidal Textile Productions from Cellulose with Silver Nanoparticles

Stabilized silver nanoparticles, in solutions sodium-carboxymethyl cellulose (Na-CMC), were synthesized and their structure and physico-chemical properties were studied. The forms and sizes of silver nanoparticles were studied by atomic force microscopy and transmission electron microscopy methods, which silver nanoparticles are loaded in solutions CMC and grafted cotton fabrics. Investigations show that spherical silver nanoparticles with size 5-35 nm and with content of 0.0085% mass. in cotton fabrics has a high bactericidal activity. Stabilization of silver nanoparticles helps to save the bactericidal and bacteriostatic activity during washing the cotton fabrics and textiles on their basis.
Genome-wide association of rice response to blast fungus identifies loci for robust resistance under high nitrogen

Background Nitrogen fertilization is known to increase disease susceptibility, a phenomenon called Nitrogen-Induced Susceptibility (NIS). In rice, this phenomenon has been observed in infections with the blast fungus Magnaporthe oryzae . A previous classical genetic study revealed a locus ( NIS1 ) that enhances susceptibility to rice blast under high nitrogen fertilization. In order to further address the underlying genetics of plasticity in susceptibility to rice blast after fertilization, we analyzed NIS under greenhouse-controlled conditions in a panel of 139 temperate japonica rice strains. A genome-wide association analysis was conducted to identify loci potentially involved in NIS by comparing susceptibility loci identified under high and low nitrogen conditions, an approach allowing for the identification of loci validated across different nitrogen environments. We also used a novel NIS Index to identify loci potentially contributing to plasticity in susceptibility under different nitrogen fertilization regimes. Results A global NIS effect was observed in the population, with the density of lesions increasing by 8%, on average, under high nitrogen fertilization. Three new QTL, other than NIS1, were identified. A rare allele of the RRobN1 locus on chromosome 6 provides robust resistance in high and low nitrogen environments. A frequent allele of the NIS2 locus, on chromosome 5, exacerbates blast susceptibility under the high nitrogen condition. Finally, an allele of NIS3 , on chromosome 10, buffers the increase of susceptibility arising from nitrogen fertilization but increases global levels of susceptibility. This allele is almost fixed in temperate japonicas, as a probable consequence of genetic hitchhiking with a locus involved in cold stress adaptation. Conclusions Our results extend to an entire rice subspecies the initial finding that nitrogen increases rice blast susceptibility. We demonstrate the usefulness of estimating plasticity for the identification of novel loci involved in the response of rice to the blast fungus under different nitrogen regimes.
A Review of Open Research Data Policies and Practices in China

This paper initially conducts a literature review and content analysis of the open research data policies in China. Next, a series of exemplars describe data practices to promote and enable the use of open research data, including open data practices in research programs, data repositories, data journals, and citizen science. Moreover, the top four driving forces are identified and analyzed along with their responsible guiding work. In addition, the “landscape of open research data ecology in China” is derived from the literature review and from observations of actual cases, where the interaction and mutual development of data policies, data programs, and data practices are recognized. Finally, future trends of research data practices within China and internationally are discussed. We hope the analysis provides perspective on current open data practices in China along with insight into the need for additional research on scientific data sharing and management.
Convolutional Neural Network in a Pseudo-Distributed Environment for Classification of Chest X-Ray Images of Patients with Pneumonia

In recent years, there has been an increase in the volume of medical data, generating hundreds of terabytes (TB)/petabytes (PB) of data from different sources. This has led to the emergence of innovative technologies such as Apache Spark, which is a framework that allows the analysis of data in memory based on distributed processing. However, since it is a relatively new technology, both Spark and the other tools that have been developed as a complement, do not have orderly and updated documentation. In this project, a convolutional neural network was implemented in a pseudo-distributed environment for the automatic classification of chest X-Ray images of patients with pneumonia using the Dist-Keras library. Thus, it was possible to explore how the convolutional neural network behaves in Spark as the size of the database increases. While the time was showing an increase as the database grew, the accuracy, precision and sensitivity metrics showed a non-stable behavior.
A Sentiment Analysis Approach for Drug Reviews in Spanish

The analysis of opinions in the medical context is of great relevance for health care since it allows us to gain insight from the experiences and opinions of patients and health professionals regarding nutrition, exercise, and other health related issues. The rise in the application of opinion mining in recent years is a direct consequence of the growth of social networks and blogs that generate a large volume of unstructured data, however, the manual review of such data is not feasible due to the amount that is generated in real time. Thus, opinion summarization systems that use Web Scraping techniques and opinion mining are needed. In this sense, this work presents a solution proposal under a hybrid approach based on both semantic approach and machine learning approach for the development of an opinion mining analysis system applying Web Scraping and Natural Language Processing (NLP) techniques to know the users’ experiences about drugs for chronic-degenerative diseases available in blogs, video blogs and specialized websites in Spanish language.
The Fuzzy Relations between Intervals in a Convolution-based Depiction

This paper is aimed at the proposing a new convolution-based approach to the representation of fuzzy Allen’s relations between fuzzy intervals. It refers to the earlier attempt of H-J. Ohlbach to represent these relations is terms of integrals. The next a framework of a theory for the convolution fuzzy Allen’s relations is put forward.
How Objects Categorize the Human Brain: EEG and fMRI as Analysis Point

This paper aims to study the state of the art of research based on the reading and processing of brain signals, which allow categorization of different concepts, in multiple aspects, such as images or texts. An analysis of works that perform semantic classifications of objects such as houses, faces, tools, buildings is presented. Existing methodologies of the general process of reading and adaptation of brain waves, the types of filters implemented for the elimination of noise in the signals, and types of signal classifiers are exhibited. The study is oriented to non-invasive methods of brain wave reading, such as electroencephalography (
Thermally rearranged (TR) polybenzoxazole: Effects of diverse imidization routes on physical properties and gas transport behaviors

Conversion of hydroxyl-containing polyimides into polybenzoxazole can be achieved by thermal rearrangement of the aromatic polymer chain with decarboxylation at elevated temperature. Synthetic methods to prepare polyimide precursors are important for the resulting thermally rearranged (TR) polymer membranes. Here, we report on the effect of several imidization methods on the properties of TR polymer membranes. Thermal and chemical imidizations are the most common routes to prepare polyimides, and solution thermal imidization using an azeotrope is also widely used, especially to obtain soluble polyimide-containing functional groups. We report here on the syntheses of ortho-functional polyimides from 4,4′-hexafluoroisopropylidene diphthalic anhydrides and 2,2′-bis(3-amino-4-hydroxyphenyl)hexafluoropropane by three different imidization methods. Acetate-containing polyimides by chemical imidization and further silylation treatment as well as hydroxyl-containing polyimides by thermal and azeotropic imidizatio.
Selective electrochemical removal of monovalent and divalent ions from seawater

Selective removal of monovalent and divalent ions from ternary solution, synthetic seawater, and real seawater is studied in an electrodialysis cell with iridium oxide as anode and cathode. The experiments were performed at two different current densities, 10 A m and 100 A m. Sulphate was found to be difficult to remove at the lower current density (10 A m) while the cations were removed more efficiently at both current densities. The size, charge, and concentration of ions were found to be the main factors influencing the selective removal of monovalent or divalent ions. Scale formed in the recirculated electrolyte in the concentrate chamber could be removed upon treatment with 0.1 M citric acid. Copyright © 2018 International Energy and Environment Foundation All rights reserved.
Ultrasound-Guided Sialendoscopy with Holmium: Yttrium Aluminum Garnet (YAG) Laser Treatment of Parotid Sialolithiasis

Patient: Male, 38-year-old Final Diagnosis: Parotid sialolithiasis Symptoms: Painful • swelling Medication: — Clinical Procedure: — Specialty: Surgery Objective: Unusual setting of medical care Background: At present, promptly diagnosing sialolithiasis is easy with the assistance of various noninvasive diagnostic procedures. However, the treatment of parotid sialolithiasis remains inadequate. An immense challenge for oral maxillofacial practitioners is the treatment of large radiolucent stones, especially of those that are located in a hard-to-approach positions in the salivary ducts. This case report aims to propose the protocol of a new technique to improve the management of parotid salivary stones. In 2017, our hospital was the first medical center in Vietnam to implement this technique in the treatment of parotid sialolithiasis. Case Report: A 38-year-old man was diagnosed with parotid sialolithiasis based on ultrasound and computed tomography (CT) scanning results. He underwent ultrasound-guided sialendoscopy with holmium: yttrium aluminum garnet (YAG) laser lithotripsy. The stone was large (22×12 mm) and in an unfavorable position. A narrow strip of fibrous tissue in front of the stone was also noted. However, 1 week after surgery the patient had local swelling of the parotid gland and no manifestation of inflammation, facial paralysis, or obstructed saliva through the drainage ducts. The patient was examined for clinical symptoms and glandular ultrasound at 3 months and 6 months after the procedure. The follow-up examination results showed normal parotid gland function, no complications or recurrence of stones, and no narrowing of the gland duct. Conclusions: Ultrasound-guided sialendoscopy with holmium: YAG laser is safe and effective for treating parotid salivary gland stones.
SAED: Edge-Based Intelligence for Privacy-Preserving Enterprise Search on the Cloud

Cloud-based enterprise search services (e.g., AWS Kendra) have been entrancing big data owners by offering convenient and real-time search solutions to them. However, the problem is that individuals and organizations possessing confidential big data are hesitant to embrace such services due to valid data privacy concerns. In addition, to offer an intelligent search, these services access the user’s search history that further jeopardizes his/her privacy. To overcome the privacy problem, the main idea of this research is to separate the intelligence aspect of the search from its pattern matching aspect. According to this idea, the search intelligence is provided by an on-premises edge tier and the shared cloud tier only serves as an exhaustive pattern matching search utility. We propose Smartness at Edge (SAED mechanism that offers intelligence in the form of semantic and personalized search at the edge tier while maintaining privacy of the search on the cloud tier. At the edge tier, SAED uses a knowledge-based lexical database to expand the query and cover its semantics. SAED personalizes the search via an RNN model that can learn the user’s interest. A word embedding model is used to retrieve documents based on their semantic relevance to the search query. SAED is generic and can be plugged into existing enterprise search systems and enable them to offer intelligent and privacy-preserving search without enforcing any change on them. Evaluation results on two enterprise search systems under real settings and verified by human users demonstrate that SAED can improve the relevancy of the retrieved results by on average ≈24% for plain-text and ≈75% for encrypted generic datasets.
Electrochemical Kinetics and Performance of Layered Composite Cathode Material Li(Li0.2Ni0.2Mn0.6)O2

Lithium-rich, manganese-rich (LMR) layered composite cathode material Li[Li0.2Ni0. 2Mn0.6]O2 has been successfully prepared by a co-precipitation method and its structure is confirmed by XRD characterization. The material delivers a high discharge capacity of 281 mAh g-1, when charged and discharged at a low current density of 10 mA g-1. However, significant increase of cell polarization and decrease of discharge capacity are observed at voltages below 3.5 V with increasing current densities. Galvanostatic intermittent titration technique (GITT) analysis demonstrates that lithium ion intercalation/de-intercalation reactions in this material are kinetically controlled by Li2MnO3 and its activated MnO2 component. The relationship between the electrochemical kinetics and rate performance as well as cycling stability has been systematically investigated. High discharge capacity of 149 mAh g-1 can be achieved at 10 C charge rate and C/10 discharge rate. The result demonstrates that the Li2MnO3 based material could withstand high charge rate (except initial activation process), which is very promising for practical applications. A lower discharge current density is preferred to overcome the kinetic barrier of lithium ion intercalation into MnO2 component, in order to achieve higher discharge capacity even at high charge rates.
Hindustani or Hindi vs. Urdu: A Computational Approach for the Exploration of Similarities Under Phonetic Aspects

The semantic coexistence is the reason to adopt the language spoken by other people. In such human habitats, different languages share words typically known as loan words which appears not only as of the principal medium of enriching language vocabulary but also for creating influence upon each other for building stronger relationships and forming multilingualism. In this context, the spoken words are usually common but their writing scripts vary or the language may have become a digraphia. In this paper, we presented the similarities and relatedness between Hindi and Urdu (that are mutually intelligible and major languages of Indian sub-continent). In general, the method modifies edit-distance; and works in the fashion that instead of using alphabets from the words it uses articulatory features from the International Phonetic Alphabets (IPA) to get the phonetic edit distance. This paper also shows the results for the languages consonant under the method which quantifies the evidence that the Urdu and Hindi languages are 67.8% similar on average despite the script differences. Keywords—Lexical Similarity; Urdu; Hindi; Edit Distance; Pho-netics; Natural Language Processing; Computational Linguistics
Water balance of colostomised and non-colostomised hens at different ambient temperatures.

1. The quantities of water gained and lost, and hence the total water balance, were determined in normal and colostomised White Leghorn laying hens at ambient temperatures of 5, 20 and 35 °G. 2. In both groups the water intake and water loss at all temperatures were well balanced. 3. Water to food ratios and water content of excreta of normal hens increased with increasing temperature. 4. The wetter excreta at 35 °C are caused by an increased urine production and not by an increased water passage through the alimentary tract.
Small Bowel Obstruction Caused by Ileal Endometriosis with Appendiceal and Lymph Node Involvement Treated with Single-Incision Laparoscopic Surgery: A Case Report and Review of the Literature

Patient: Female, 40-year-old Final Diagnosis: Intestinal endometriosis Symptoms: Abdominal pain Medication:— Clinical Procedure: — Specialty: Surgery Objective: Challenging differential diagnosis Background: Endometriosis is an ectopic proliferation of endometrial glands and interstitium outside the uterus. It usually affects the organs surrounding the uterus, and less often, involvement of extrapelvic organs, such as the intestines and urinary tract, is observed. Case Report: A 40-year-old woman had been experiencing intermittent right lower abdominal pain for years, which worsened months earlier. The patient was admitted for the worst pain ever accompanying nausea and vomiting. Contrast-enhanced computed tomography revealed a heterogeneously enhanced lesion that measured approximately 50×25×35 mm, and a caliber change of the ileum at the same site with dilated small bowel proximal to the caliber change were observed. Colonoscopy revealed that the ileocecal valve and the lumen of the terminal ileum protruded inward, suggesting an extramural compression by the lesion. Since the patient showed no improvement following conservative therapy, bowel resection through a single-incision laparoscopic surgery was successfully performed. Histopathological exploration showed patchy infiltration of endometrium-like tissues in the muscularis propria and subserosa layers of the ileum and appendix. Moreover, nearby lymph nodes resected for their firmness showed similar findings. Conclusions: We report a case of recurrent intestinal obstruction due to ileal and appendiceal endometriosis with lymph node involvement, which was successfully treated by single-incision laparoscopic surgery. Careful follow-up is important because the prognosis for the intestinal endometriosis with lymph node involvement is still unclear.
Investigation of the treatment of colored water using efficient locally available adsorbent

In this study, the effectiveness of local agricultural waste in removing methylene blue dye from aqueous solution (date stones) was investigated. Both batch kinetics and isotherm experiments were conducted in order to determine the sorption behavior of the examined dye. The effects of initial dye concentration, initial pH, adsorbent particle size, and adsorbent dose were studied. The results indicate that the adsorption process follows pseudo second order kinetic models. The particle sizes of the adsorbent and pH had a significant effect on the adsorption process. In addition, a clear correlation was found between augmentation of the initial dye concentration and a subsequent increase of adsorption capacity. The results obtained are consistent with the Freundlich model. Copyright © 2011 International Energy and Environment Foundation All rights reserved.
Implementing Musical Instrument Recognition using CNN and SVM

---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Recognizing instruments in music tracks is a crucial problem. It helps in search indexing as it will be faster to tag music and also for knowing instruments used in music tracks can be very helpful towards genre detection (e.g., an electric guitar heavily indicates that a track is not classical). This is a classification problem which will be taken care of by using a CNN (Convolutional Neural Network) and SVM (Support Vector Machines). The audio excerpts used for training will be preprocessed into images (visual representation of frequencies in sound). CNN’s have been used to achieve high accuracy in image processing tasks. The goal is to achieve this high accuracy and apply it to music successfully. This will make the organization of abundant digital music that is produced nowadays easier and efficient and helpful in the growing field of Music Information Retrieval (MIR). Using both CNN and SVM to recognize the instrument and taking their weighted averages will result in higher accuracy.