bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship Between Peripheral Transport Proteins and Plasma Amyloid-β in Patients with Alzheimer’s Disease Were Different from Cognitively Normal Controls: A Propensity Score Matching Analysis
Authors: Gao Ling , Wang Jin , Jiang Yu , Wei Shan , Shang Suhang , Chen Chen , Dang Liangjun , Huo Kang , Deng Meiying , Wang Jingyi , Qu Qiumin
Published: October 2020

Background: Transport proteins, soluble LRP1 (sLRP1) and soluble RAGE (sRAGE), play a pivotal role in the peripheral clearance of plasma amyloid-β (Aβ). However, their relationship is seldom discussed, especially in Alzheimer’s disease (AD). Objective: To explore whether their relationship in patients with AD varied from those in cognitively normal (CN) controls. Methods: We initially recruited 70 patients with AD and 725 CN controls, then applied propensity score matching (PSM) analysis to balance the differences between two groups. Plasma levels of sLRP1, sRAGE, and Aβ were measured using commercial ELISA kits and log transformed when skewed distributed. The relationship between sLRP1/sRAGE and plasma Aβ were analyzed using Pearson’s correlation analysis followed by multiple linear regression separately in the original population and matched participants. Results: After PSM, 70 patients with AD and 140 matched controls were included for further analysis. Log sLRP1 was positively correlated with plasma Aβ40 in matched CN controls (r = 0.222, p = 0.008) but not in patients with AD (r = 0.137, p = 0.260). After multivariable adjustment, Log sLRP1 remained significantly associated with plasma Aβ40 in the CN group (β= 7.347, p = 0.014) but not in the AD group (β= 10.409, p = 0.105). In contrast, Log sLRP1 was not correlated with plasma Aβ42 in patients with AD or CN controls, and Log sRAGE was consistently not associated with plasma Aβ40 or Aβ42 in either group. Conclusion: The significant correlation between sLRP1 and plasma Aβ40 present in CN controls was not found in patients with AD, suggesting that their relationship was different in AD. However, the specific mechanisms and its influence on cerebral amyloid burden require further validation.
Cortical Alterations Are Associated with Depression in Subcortical Vascular Mild Cognitive Impairment Revealed by Surface-Based Morphometry
Authors: Wang Jianjun , Lyu Hanqing , Chen Jianxiang , Lin Songjun , Zheng Haotao , Li Jinfang , Kong Fanxin , Gao Jinyun , Yu Haibo , Hu Yuanming , Guo Zhouke
Published: October 2020

Background: Late-life depression often coexists with vascular cognitive impairment and affects the quality of life for elders. However, little is known about cortical morphometric interactions between subcortical vascular mild cognitive impairment (svMCI) and concomitant mild depressive symptoms at the early stage. Objective: We aimed to investigate cortical alterations of svMCI with and without depressive symptoms and determine whether these parameters are associated with depression symptoms and/or cognitive impairments. Methods: Surface based morphometry was performed on 18 svMCI patients with depressive symptoms (svMCI + D), 16 svMCI patients without depressive symptoms (svMCI–D), and 23 normal controls (NC). Results: Compared to NC, both svMCI + D and svMCI–D patients exhibited significantly decreased surface area (SA) in many cortical areas. Interestingly, svMCI + D patients showed significantly increased rather than decreased SA in right lateral occipital gyrus (LOG.R), and a consistent trend of increased SA in these areas compared to svMCI–D. In addition, the svMCI + D showed increased gray matter volume of left pericalcarine (periCAL.L) than svMCI–D, whereas svMCI–D showed decreased gray matter volume of periCAL.L than NC. Further correlation analyses revealed that the SA of left superior temporal gyrus (STG.L) and right lateral orbital part of frontal gyrus (lorbFG.R) were significantly correlated with Hamilton depression rating scale of svMCI + D. Conclusion: In conclusion, these results extend our insight into svMCI and add weight to reevaluation of concomitant early stage depressive symptoms. Moreover, we suggest that LOG.R∖periCAL.L∖STG.L∖lorbFG.R might serve as sensitive and trait-dependent biomarkers to detect concomitant depressive symptoms in svMCI patients.
Long-Term Exposure to PM10 and in vivo Alzheimer’s Disease Pathologies
Authors: Lee Jun Ho ,   for the KBASE Research Group, Byun Min Soo , Yi Dahyun , Ko Kang , Jeon So Yeon , Sohn Bo Kyung , Lee Jun-Young , Lee Younghwa , Joung Haejung , Lee Dong Young
Published: October 2020

Background: Previous studies indicated an association between Alzheimer’s disease (AD) dementia and air particulate matter (PM) with aerodynamic diameter <10μm (PM10), as well as smaller PM. Limited information, however, is available for the neuropathological links underlying such association. Objective: This study aimed to investigate the relationship between long-term PM10 exposure and in vivo pathologies of AD using multimodal neuroimaging. Methods: The study population consisted of 309 older adults without dementia (191 cognitively normal and 118 mild cognitive impairment individuals), who lived in Republic of Korea. Participants underwent comprehensive clinical assessments, 11C-Pittsburg compound B (PiB) positron emission tomography (PET), and magnetic resonance imaging scans. A subset of 78 participants also underwent 18F-AV-1451 tau PET evaluation. The mean concentration of PM with aerodynamic diameter <10μm over the past 5 years (PM10mean) collected from air pollution surveillance stations were matched to each participant’s residence. Results: In this non-demented study population, of which 62% were cognitively normal and 38% were in mild cognitive impairment state, exposure to the highest tertile of PM10mean was associated with increased risk of amyloid-β (Aβ) positivity (odds ratio 2.19, 95% confidence interval 1.13 to 4.26) even after controlling all potential confounders. In contrast, there was no significant associations between PM10mean exposure and tau accumulation. AD signature cortical thickness and white matter hyperintensity volume were also not associated with PM10mean exposure. Conclusion: The findings suggest that long-term exposure to PM10 may contribute to pathological Aβ deposition.
A self-adapting multi-LSTM ensemble regression mode for failure prediction of transmission line network from wireless mesh nodes’ data
Authors: Sun Hongbin , Liu Mingjun , Qing Zhejun , Miller Chandler
Published: October 2020

Transmission lines’ condition monitoring is an important part of smart grid construction. To ensure fast and efficient transmission of data, many mash-based wireless networks devices are adopted to collect status information. Since these nodes are exposed to the natural environment, vulnerable to damage, so it is very necessary to be predicting nodes’ fault. However, these mesh nodes are affected by a variety of complex and time-series factors, and traditional models are difficult to achieve effective failure prediction. To solve this problem, this paper proposes a self-adapting multi-LSTM ensemble regression model for transmission line network’s wireless mesh node failure prediction (MLSTM-FP), through establishes the corresponding relationship between similar time factors and LSTMs, the proposed model can realize multi time series data self-adapting and accurate failure prediction of transmission line network’s wireless mesh nodes, The experimental results show that the proposed method has a good prediction ability than traditional methods.
A mixed approach of statistical weighting method and unsupervised method to improve Uyghur sentiment classification
Authors: Yalkun Erpan , Slamu Wushour , Turhuntay Raxida
Published: October 2020

Considering the scarcity of Uyghur sentiment resources, in this paper proposed a new combined unsupervised sentiment classification method for Uyghur text without any labeled corpora. In the first part, a Uyghur sentiment dictionary, UYSentiDict, was adopted to classify the sentences. For the sentiment vocabulary matching, both the matching of the original word and the stem were considered, and the influence of sentence patterns, negation words, and degree adverbs were further considered as well. Based on different thresholds, the sentences with higher sentiment values were selected from the lexicon-based classification results as a pseudo-labeled dataset. In the second part, different sentiment characteristics were learned from the pseudo-labeled dataset by the machine learning classifier, and the remaining categorical data were further classified. It can be concluded that the method proposed in this paper has good classification efficiency in Uyghur sentiment corpora in four different fields, and some results were performed better than the classification results of machine learning classifier. Moreover, this method is not restricted by the field of data and does not need to be marked in advance with good training corpus, and can solve the resource shortage problem in the field of Uyghur sentiment classification effectively.
Design of SLM automatic leveling powder laying mechanism and variable position powder laying movement strategy
Authors: Zhang Yongdi , Yang Guang , Wang Deming , Wang Haonan
Published: October 2020

Additive Manufacturing technology has aroused widespread attention for free designing and rapid prototyping. Selective Laser Melting technology is one of the metal additive manufacturing technologies, and it has become an important choice for precision manufacturing of metal parts with high performance and complex shape. In the process of selective laser melting, the accuracy and efficiency of laying powders directly affect the quality and time of parts printing. In order to realize laying powder accurately and efficiently in printing process, the mechanical mechanism and movement strategy of the powder laying device are studied in this paper. A powder laying mechanism with automatic leveling function is designed. On the premise of ensuring the powder laying accuracy, a variable position powder laying movement strategy is proposed to improve the powder laying efficiency The case analysis results show that the laying powder efficiency has been increased by 49.2%.
Musical wisdom teaching strategy under the internet + background
Authors: Huang Jieru , Wang Tao
Published: October 2020

The modernization of our country has opened a new era, and the “Internet +” national strategy has gone deep into various areas of people’s livelihood. Faced with many changes in the new situation, a variety of emerging information technologies continue to integrate into the classroom, such as Baidu teaching, Whiteboard, IPAD, flipping classroom, and learning space and so on, which makes the teacher’s teaching method and organization form have very big changes. There is a certain “flip” in the classroom indeed. This study explores the connotation and characteristics of music intelligent teaching and the main factors that affect the formation of music teachers’ intelligent teaching under the background of “Internet +” education. In this paper, the related strategies of the formation of wisdom teaching are applied through the design of the auxiliary system, in order to optimize the traditional teaching mode by making full use of the network technology, improve the teaching efficiency, and train more and more music talents for the country.
An artificial intelligence agent technology based web distance education system
Authors: Li Ruisheng
Published: October 2020

Based on the analysis of the characteristics of artificial intelligence and agent, this paper discusses the feasibility of introducing Web services and intelligent agent technology into online teaching and learning and proposes a modern distance education system model based on artificial intelligence agent technology web. The architecture integrates the advantages of Agent technology and Web services. Starting from improving the shortcomings of the traditional Web-based distance teaching system, it strives to increase learners’ self-directed learning interest, monitor students’ emotions, and exchange knowledge between teaching agents. To realize students’ on-demand learning according to their aptitude, teachers’ teaching ultimately improve the system’s flexibility, personalization, and artificial intelligence. Under the guidance of learning communities and other theories, construct learner model ontology inference rules. Based on the learner’s relationship characteristics, the knowledge domain that the learner is interested in is inferred, thus constructing an intelligent information retrieval system. Knowledge retrieval is realized quickly and accurately, thereby verifying the application of learner relationship characteristics in digital learning.
Artificial intelligence based tracking model for functional sports training goals in competitive sports
Authors: Zhao Zhe , Liu Xingyu , She Xi
Published: October 2020

As an advanced training concept, functional physical training is gradually recognized by top athletes for its high training effect and low sports injury. Functional physical training should gradually develop from elite athletes to grassroots athletes, so as to lay a solid foundation for the development of competitive sports. Because particle filtering is susceptible to external factors in moving target tracking, this paper designs a method for sparse coding using local image blocks of the target, establishes a static “impression” and dynamic model for the appearance of the target. The tracking problem is regarded as a binary classification problem between the foreground target and the background image. During the tracking process, the dual particle filter is implemented to alleviate the tracking drift, so that the algorithm can adaptively capture the changes in the target appearance At the same time, it can reduce the update caused by wrong positioning. The subjects’ FMS test and Y balance test have improved in varying degrees; the pressure distribution of the forefoot, arch, and heel tends to be rationalized, and the ratio of internal and external splayed feet has decreased. Experiments show that this particle filter moving target tracking scheme can adapt to changes in the environment and overcome the inflexibility of the global template when dealing with local changes in the target.
Hardware implementation of an α - level based binary search and shifting fuzzifier (α - BSSF)
Authors: Barrón-Romero César , Hernández-Zavala Antonio
Published: October 2020

Fuzzy processors are used for control actions in nonlinear mechatronic systems where high processing speed is required. The Field Programmable Gate Arrays (FPGA) are a good option to implement low cost fuzzy hardware in a short development time. A very important block in fuzzy hardware is the fuzzifier, since it affects directly in the accuracy of the result and in the processing time for obtaining a fuzzy number. There have been many design methodologies intended for enhancing the performance of this block. This paper presents a parallel fuzzifier circuit called α-BSSF. Its main design characteristics are the use of α-levels for membership representation, usage of integer numbers, and avoiding time-consuming operations. As result, we obtained a fuzzifier that shows advantages in the reduction of the response time and computational resources against the existing sequential fuzzification methods. This proposal is targeted not only for T1FS, but also for T2FS, since the membership calculation through fuzzifier is applied in the same way but twice.
GAN-based classifier protection against adversarial attacks
Authors: Liu Shuqi , Shao Mingwen , Liu Xinping
Published: October 2020

In recent years, deep neural networks have made significant progress in image classification, object detection and face recognition. However, they still have the problem of misclassification when facing adversarial examples. In order to address security issue and improve the robustness of the neural network, we propose a novel defense network based on generative adversarial network (GAN). The distribution of clean - and adversarial examples are matched to solve the mentioned problem. This guides the network to remove invisible noise accurately, and restore the adversarial example to a clean example to achieve the effect of defense. In addition, in order to maintain the classification accuracy of clean examples and improve the fidelity of neural network, we input clean examples into proposed network for denoising. Our method can effectively remove the noise of the adversarial examples, so that the denoised adversarial examples can be correctly classified. In this paper, extensive experiments are conducted on five benchmark datasets, namely MNIST, Fashion-MNIST, CIFAR10, CIFAR100 and ImageNet. Moreover, six mainstream attack methods are adopted to test the robustness of our defense method including FGSM, PGD, MIM, JSMA, CW and Deep-Fool. Results show that our method has strong defensive capabilities against the tested attack methods, which confirms the effectiveness of the proposed method.
A Dual Centre Study of Pain in Parkinson’s Disease and Its Relationship with Other Non-Motor Symptoms
Authors: Ghosh Pritha , Imbriani Paola , Caputi Nicoletta , Natoli Silvia , Schirinzi Tommaso , Di Lazzaro Giulia , Covington Lindsey , Sparks Andrew D. , Salnikova Yekaterina , Rukavina Katarina , Ray Chaudhuri K. , Pisani Antonio
Published: October 2020

Background: Pain is a disabling and often underestimated non-motor symptom (NMS) detrimentally affecting the quality of life of patients with Parkinson’s disease (PD). Objective: Here, we conducted a cross-sectional, observational international study on 167 patients with idiopathic PD in order to analyze the potential relationship between pain and other NMS. Methods: Subjects were assessed with the Unified Parkinson’s Disease Rating Scale (UPDRS) part III, Hoehn and Yahr (H&Y) stage, King’s Parkinson’s Disease Pain Scale (KPPS), Brief Pain Inventory (BPI), Non-Motor Symptoms Scale (NMSS), and Beck Depression Inventory (BDI). Spearman’s rank correlation coefficient, multiple regression and multiple index-based clustering algorithms were used for data analysis. Results: The prevalence of pain was 88.6%, was not correlated with age, motor severity (UPDRS part III) or disease duration, whereas a weak correlation with female gender and H&Y stage >2.5 was found. Multiple NMS correlated significantly with pain. Specifically, sleep disturbance had the strongest correlation with pain, followed by depression, gastrointestinal and cardiovascular disturbances. Further analyses showed that sleep and cardiovascular disturbance were independently associated with pain, and that these symptoms clustered together in a subset of PD patients. The relationship between pain, sleep and dysautonomia persisted independently from dopamine replacement therapy. Conclusion: Our study suggests that sleep disruption and cardiovascular disturbance are associated with pain in PD, and possibly identifies a specific subtype within PD patients with pain. Our data also indicate that sleep disruption, pain and dysautonomia may have a common pathophysiology, possibly involving non-dopaminergic pathways.
Introducing the Parkinson’s KinetiGraph into Routine Parkinson’s Disease Care: A 3-Year Single Centre Experience
Authors: Dominey Thea , Kehagia Angie A. , Gorst Terry , Pearson Emma , Murphy Fiona , King Emma , Carroll Camille
Published: October 2020

In an effort to provide timely clinical input for people with Parkinson’s disease (PD) in the face of increasing demand and resource limitation in our UK based service, we introduced remote management in place of clinic appointment, including the use of the Parkinson’s KinetiGraph (PKG™), a wrist-worn device that provides a continuous measure of movement. We evaluated our reporting methods and findings, the nature of unmet need we identified, our treatment recommendations and the degree of their implementation in our patients whose feedback guided our service developments. Our evaluation highlighted opportunities and challenges associated with incorporating digital data into care traditionally delivered via in-person contact.
Optimization learning of hidden Markov model using the bacterial foraging optimization algorithm for speech recognition
Authors: Benmachiche A. , Makhlouf A. , Bouhadada T.
Published: October 2020

Nowadays, the speech recognition applications can be found in several activities, and their existence as a field of study and research lasts for a long time. Although, many studies deal with different problems, in security-related areas, biometric identification, access to the Smartphone… Etc. In automatic speech recognition (ASR) systems, hidden Markov models (HMMs) have widely used for modeling the temporal speech signal. In order to optimize HMM parameters (i.e., observation and transition probabilities), iterative algorithms commonly used such as Forward-Backward or Baum-Welch. In this article, we propose to use the bacterial foraging optimization algorithm (BFOA) to enhance HMM with Gaussian mixture densities. As a global optimization algorithm of current interest, BFOA has proven itself for distributed optimization and control. Our experimental results show that the proposed approach yields a significant improvement of the transcription accuracy at signal/noise ratios greater than 15 dB.
Minimum square distance thresholding method applying gray-gradient co-occurrence matrix
Authors: Zhang Hong , Zhi Qiang , Yang Fan
Published: October 2020

In image thresholding segmentation, gray level of pixels is the basic element to describe images. Besides, the gradient information of pixels is also a key feature to represent image space distribution. Therefore, the co-occurrence probability of gray and gradient of pixels is an effective information to describe image. In this paper, gray-gradient asymmetrical co-occurrence matrix is constructed, uniformity probability of image region is produced, and a minimum square distance criterion function based on gray-gradient co-occurrence matrix is proposed to measure the deviation between original and binary images. Comparing with gray-gray asymmetrical co-occurrence matrix and relative entropy-based symmetrical co-occurrence matrix method, the proposed method can obtain more complete segmentation results, especially for small-size object extraction. The peak signal to noise ratio probability also shows the better segmentation performance of our proposed method.
Identification of myocardial infarction from analysis of ECG signal
Authors: Jagannadham D.B.V. , Sai Narayana D.V. , Ganesh P. , Koteswar D.
Published: October 2020

Many heart diseases can be identified and cured at an early stage by studying the changes in the features of electrocardiogram (ECG) signal. Myocardial Infarction (MI) is the serious cause of death worldwide. If MI can be detected early, the death rate will reduce. In this paper, an algorithm to detect MI in an ECG signal using Daubechies wavelet transform technique is developed. The ECG signal-denoising is performed by removing the corresponding wavelet coefficients at higher scale. After denoising, an important step towards identifying an arrhythmia is the feature extraction from the ECG. Feature extraction is carried out to detect the R peaks of the ECG signal. Since as R peak is having the highest amplitude, and therefore it is detected in the first round, subsequently location of other peaks are determined. Having completed the preprocessing and the feature extraction the MI is detected from the ECG based on inverted T wave logic and ST segment elevation. The algorithm was evaluated using MIT-BIH database and European database satisfactorily.
Recognition of human emotion with spectral features using multi layer-perceptron
Authors: Pramod Reddy A. , V Vijayarajan
Published: October 2020

For emotion recognition, here the features extracted from prevalent speech samples of Berlin emotional database are pitch, intensity, log energy, formant, mel-frequency ceptral coefficients (MFCC) as base features and power spectral density as an added function of frequency. In these work seven emotions namely anger, neutral, happy, Boredom, disgust, fear and sadness are considered in our study. Temporal and Spectral features are considered for building AER(Automatic Emotion Recognition) model. The extracted features are analyzed using Support Vector Machine (SVM) and with multilayer perceptron (MLP) a class of feed-forward ANN classifiers is/are used to classify different emotional states. We observed 91% accuracy for Angry and Boredom emotional classes by using SVM and more than 96% accuracy using ANN and with an overall accuracy of 87.17% using SVM, 94% for ANN.
A trust management model based on NSGA-II in mobile grid system
Authors: Otari Grantej Vinod , Ghorpade Vijay Ram
Published: October 2020

Mobile Grid network connects large number of mobile devices like smartphones, tablets, PDAs, wireless digital medical equipment’s etc for the purpose of sharing their resources and performing the task collaboratively and cooperatively. The mobile nodes participating in the mobile grid are autonomous and open in nature making them more vulnerable to data and control attacks made by malicious or selfish nodes. Preventing these malicious or selfish nodes and identifying the trusted nodes to participate in the network is an NP-hard problem. To recognize trusted nodes in the mobile grid system a novel trust management model is proposed in this paper by applying an elitist multi objective optimization algorithm Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The proposed trust management model assesses the trust index of each mobile node in the network using various evaluation factors or attributes and then obtains the non-dominated set of trusted nodes in each front. Comparative analysis of the proposed trust model shows that the proposed model can be a potential candidate for implementing trust management in mobile grid network.
UCQ-Rewritings for disjunctive knowledge and queries with negated atoms
Authors: Matos Alfonso Enrique , Chortaras Alexandros , Stamou Giorgos
Published: October 2020

In this paper, we study the problem of query rewriting for disjunctive existential rules. Query rewriting is a well-known approach for query answering on knowledge bases with incomplete data. We propose a rewriting technique that uses negative constraints and conjunctive queries to remove the disjunctive components of disjunctive existential rules. This process eventually generates new non-disjunctive rules, i.e., existential rules. The generated rules can then be used to produce new rewritings using existing rewriting approaches for existential rules. With the proposed technique we are able to provide complete UCQ-rewritings for union of conjunctive queries with universally quantified negation. We implemented the proposed algorithm in the Completo system and performed experiments that evaluate the viability of the proposed solution.
Neurological disorders in Covid-19: clinical involvement and pathophysiological mechanisms
Authors: García-Moncó Juan Carlos
Published: October 2020

The recent COVID-19 pandemic caused by the SARS-CoV-2 virus has conditioned a severe pulmonary disease with multi-system involvement. Recently, a variety of neurological disorders has been associated with this infection, including lack of smell (anosmia), lack of taste (ageusia), headache, myalgias, confusional states (encephalopathies), dizziness, seizures, strokes, and cranial and peripheral nerve palsies.
A direct damage by the virus as well as secondary inflammatory and immune mechanisms triggered by the viral infection may be responsible for the nervous system abnormalities. The virus can gain access to the nervous system from the bloodstream and/or through the peripheral nerves in a retrograde transport.
There is no specific therapy for these problems, thus treatment is symptomatic and supportive. Oftentimes a prothrombotic state is created during the infection; hence, anticoagulation should be considered in those patients.
Theology and the Films of Terrence Malick
Authors: Mayward Joel
Published: October 2020

This is a book review of Christopher B. Barnett and Clark J. Elliston, eds., Theology and the Films of Terrence Malick.
Explorando las conexiones entre sistemas de medidas usados en prácticas cotidianas en el municipio de Baranoa
Authors: Rodríguez Nieto Camilo Andrés
Published: October 2020

El propósito de esta investigación fue explorar las conexiones entre los sistemas de medidas usados en prácticas cotidianas del municipio de Baranoa. La investigación se enmarcó en la etnomatemática y en una metodología cualitativa-etnográfica, se aplicaron entrevistas semiestructuradas para la recolección de la información y un posterior análisis de datos, útil para reconocer los sistemas de medidas. Los resultados reportan siete sistemas de medidas y sus conexiones internas, externas y de significado desde una perspectiva etnomatemática, evidenciados en: la elaboración del bollo de yuca, cometas y cajones voladores, la ebanistería, la soldadura eléctrica, la agricultura y la ganadería. Además estos resultados son útiles para que el profesor de matemáticas haga conexiones cuando enseñe los sistemas de medidas a sus estudiantes, relacionando unidades de medidas convencionales y no convencionales.
Surgical treatment of transmissible venereal tumor (sticker sarcoma)
Authors: Hithem Bougherara , Saïd Boukhechem , Abdelaziz Aguezlane , Khouloud Benelhadj , Adel Aissi
Published: October 2020

Background: Sticker sarcoma, also called venereal sarcoma or venereal lymphosarcomatosis, is a tumor of the external genital organs in females and males. In male animals the penis and foreskin (prepuce) are affected, in the female, it happens in vagina (vagina) and labia (vulva). The diagnosis of sticker sarcoma is based on the chronic discharge, the typical locations and the characteristic appearance of the tumor.
Methods: We have relied on the treatment method on the complete surgical removal of all cancer cells that we can access.
Results: After surgery, we notice recurrent tumors about six months after surgical treatment, indicating the need for other treatments in addition to surgery.
Conclusion: Although spontaneous regressions of sticker sarcoma are documented (with permanent immunity), chemotherapy is the treatment of choice today. Irradiation should also be effective. If the tumor is only removed surgically, there is a high rate of recurrence, and this is what happened with the case that we treated, as the tumor reappeared after less than six months.
Katherine Parr, Translation, and the Dissemination of Erasmus’s Views on War and Peace
Authors: White Micheline
Published: October 2020

This article offers new evidence of Katherine Parr’s activities as a translator by demonstrating that she translated two prayers from Erasmus’s Precationes aliquot novæ in 1544. The first, “A Prayer for Men to Say Entering into Battle,” appeared in all the editions of Parr’s Psalms or Prayers; the second, “A Prayer for Forgiveness of Sins,” was included only in sextodecimo editions. These newly recovered translations have important implications for our understanding of Parr’s involvement in Henry VIII’s war effort and for the history of the dissemination of Erasmus’s ideas in England. This study argues that Parr’s translations provide new evidence that she collaborated with Thomas Cranmer and Henry VIII in producing wartime propaganda but also that Parr reframed, edited, and distorted Erasmus’s prayers to promote Henry’s wartime needs. This data has additional repercussions because Parr was also the sponsor of the translation of Erasmus’s Paraphrases on the New Testament, a text that exhorted Henry and other princes to avoid war and embrace peace. Parr, then, was at the heart of two translation projects that were fundamentally at odds with one another, and her translations can be described as important interventions into Erasmus’s legacy in England.
Promoting Behavioral Support for Change: A Conservation of Resources Theory Perspective
Authors: Mehboob Farhan , Othman Noraini
Published: October 2020

Purpose- Individuals' support for change is a critical success factor to implement change effectively. Therefore, identifying the possible antecedent and mechanism, leading to behavioral support towards change, is necessary. The study aims to unfold this avenue of research empirically by examining the role of both person and context factors in promoting behavioral support for change. Design/Methodology- Data was collected from 292 academic staff of six public sector universities located in Pakistan via cross-sectional mean. A self-reported questionnaire was used to collect responses from the desired population. Findings- Results revealed a positive impact of perceived management support on academic staff’s behavioral support for change. Moreover, change-efficacy also provides a statistically significant intervening mechanism to translate the effect of perceived management support on both dimensions of behavioral support to change such as compliance and championing behavior Practical Implications- The research offers useful insights for top university officials to build support for change by providing needed support and resources; make academic staff capable of executing the change-related tasks into viable actions meritoriously.
Aikuiskasvatuksen IV maailmankokous
Authors: Toiviainen Timo
Published: October 2020

Kirjoittaja selostaa tammikuussa 1990 Bangkokissa Thaimaassa pidettyä ICAE:n (The International Council for Adult Education) IV maailmankokousta, sen sisältöä, päätöksiä ja merkitystä.
Työpaikkakoulutuksen kehittäminen
Authors: Jyrkänne Jari-Pekka
Published: October 2020

Työpaikkakoulutustoimikunnan mietinnön herättämiä ajatuksia: Mahdollinen oppisopimusjärjestelmästä luopuminen puhututtaa. Seuraavassa asiaan ottavat kantaa Ammattienedistämislaitoksen rehtori Matti Taanila ja SAK:n työvoima- ja koulutuspoliittinen sihteeri Jari-Pekka Jyrkänne.
Aikuiskoulutuksen ohjaus- ja tukitoimintaa Saksan liittotasavallassa
Authors: Juhela Arto
Published: October 2020

Opinto-ohjaus on tavallisesti ymmärretty potentiaalisiin osallistujiin kohdistuvaksi toiminnaksi, jossa olemassa oleva koulutustarjonta nähdään enemmän tai vähemmän annettuna. Artikkeli perustuu ensisijaisesti kahteen Saksan liittotasavallassa toteutettuun (tai käynnistettyyn) kokeiluprojektiin. Niissä eri kohderyhmille suunnattu ohjaus on liitetty osaksi koulutustarjonnan kehittämiseen tähtäävää laajempaa kokonaisuutta. Kokeilun kohteina ovat olleet koulutuksellisesti huono-osaiset sekä myöhemmässä vaiheessa pienten ja keskisuurten yritysten henkilöstö.
Lisää kansainvälisyyttä ja uutta tekniikkaa aikuiskoulutukseen
Authors: Hirsijärvi-Saari Marjatta
Published: October 2020

Syracusessa Yhdysvalloissa kehitetään aikuiskouluttajien verkkoja ja kokeillaan optisia levyjä tiedon siirrossa.
Laatupiirit oppivina työryhminä
Authors: Sarala Urpo
Published: October 2020

Työelämän nopea muuttuminen korostaa henkilöstön jatkuvan oppimisen tarvetta. Erillisen kouluttamisen sijasta ja rinnalla pohditaan oppimista työyhteisön sisällä kiinteässä yhteydessä työhön ja sen kehittämiseen. Japanissa ja Yhdysvalloissa laatupiiritoiminta on kuulunut monen hyvin menestyvän organisaation päivittäisiin toimintarutiineihin. Artikkelissa tarkastellaan laatupiiritoimintaa työyhteisössä, sen etuja ja aikaansaannoksia, rajoitteita ja ongelmia sekä laatupiiriä oppimisen välineenä suomalaisten kokemusten ja kokeilujen valossa.
Reflexões sobre alguns conceitos da pesquisa qualitativa
Authors: González Fredy Enrique
Published: October 2020

Neste ensaio são apresentadas algumas reflexões relacionadas com conceitos frequentemente usados nas pesquisas chamadas qualitativas. A primeira questão que é colocada é o conceito mesmo do que é Pesquisa Qualitativa (PQ), fazendo ênfase que essa expressão faz alusão de uma variedade grande de formas de pesquisar assuntos sociais e educacionais. Após são oferecidos dez critérios para identificar variantes e invariantes entre as diversas famílias de PQ. A seguir é descrito o papel do pesquisador na Pesquisa Qualitativa, dando destaque ao Lugar Epistemológico ocupado pelo pesquisador neste tipo de pesquisa e aos compromissos cognitivos que são assumidos pelo pesquisador qualitativo. Logo, são abordados o conceito de triangulação e a Entrevista como técnica privilegiada para obter informações em Pesquisa Qualitativa. O trabalho conclui deixando em aberto a reflexão sobre os assuntos desenvolvidos no ensaio.
Palavras-chave: Variantes e Invariantes; Triangulação; Enquque Pentadimensional; Lugar Epistemológico.
A COMPARATIVE STUDY OF PQRST AND SQ3R STRATEGIES BASED ON THE TEXT TYPES UPON THE EIGHTH GRADE STUDENTS’ READING COMPETENCY AT SMPN 4 SINGARAJA
Authors: Sandiarsa Komang Dedy , Tantra Dewa Komang , Ratminingsih Ni Made
Published: October 2020

This research aimed at investigating whether or not there is a different effect between PQRST and SQ3R strategies based on the text types upon the eighth grade students’ reading competency. This research was an experimental research with 2 X 2 factorial designs. The population was 6 classes (179 students) of grade VIII in SMPN 4 Singaraja in the academic year 2012/2013, in which 4 classes were sample of this research which was assigned into two groups, two classes with 60 students were PQRST strategy group, and two classes with 60 students were SQ3R strategy group determined by using a Multistage Random Sampling. The data were collected through reading comprehension test that were analyzed by using Statistical Two-Way ANOVA. The result shows that, first, FA = 31.533 with the significant value was 0.000 which was less than 0.5, therefore, there is a significance difference between the students who were taught by PQRST strategy than those who were taught by SQ3R strategy. Second, FAB = 2.624 with the significant value was 0.107 which was higher than 0.5, therefore, there is no interactional effect of teaching reading strategies (PQRST and SQ3R) and text types (narrative and recount) on students’ reading competency.
SHIFTING OLD TEACHING BEHAVIOR FOR NEW CURRICULUM
Authors: Sugianto Sugianto
Published: October 2020

Begin with “the annual habit” of Indonesian government in which the curriculum will be changed as the change of educational paradigm. This paper then aimed to explain about the urgency of new policy in teaching-learning realm and how the teacher adapt and apply that new curriculum in real teaching-learning situation in the classroom. As matter of fact, based on many surveys conducted by some institutions proved that many teachers in every corner of Indonesia still enjoy teaching in their old teaching behavior. No matter how many times the curriculum changed, the problem is that the teachers find it difficult to adapt with the new curriculum. The difficulty in understanding the resent curriculum may caused by many factors, such as lack of information and teachers’ education. Therefore, this paper explains how the teachers should change their old teaching behavior to support the aim of Indonesian government in empowering and increasing the quality of human resource.
THE INTERFERENCE OF NATIVE LANGUAGE INTO ENGLISH PRONUNCIATION
Authors: Suadiyatno Taufik
Published: October 2020

This research was aimed at finding out how the native language interfere the English pronunciation and to identify the native language sounds that interfere the English pronunciation of the third semester of English Department students of IKIP Mataram in the academic year 2013/2014. This research was a qualitative research. The subjects of this research were the third semester of English Department students of IKIP Mataram in the academic year 2013/2014 that were selected based on certain category. The data was collected through observation and analyzed through some steps namely (1) transcribing the data, (2) reducing the data, (3) displaying the data that have been reduced and then drawing and verifying conclusion. Based on the result of data analysis it can be concluded that the native language interfere the students’ English pronunciation automatically when the English words sounds that they produced do not exist in their mother tongue. The researcher found some native language sound that interfere their English pronunciation, such as:  vowel sound: /E/ for /Ï/, /a/ for /ɑÉ/, /I/ for /iÉ/, /«/ for /äÉ/, /U/ for /uÉ/, /a/ and /«/, for /ɑ/. Where as in consonant are: /p/ for /f/, /t/ for /T/ and /D/, and /s/ for /ʃ/.
Teachers’ Techniques in Teaching Vocabulary at the First Year Students of MTs. Asholihiyah Lopan Ketak East Lombok
Authors: Kamarudin Kamarudin
Published: October 2020

This research deals with teachers’ techniques in teaching English vocabulary at the first year students of MTs Assholihiyah Lopan Ketak East Lombok. It is expected to serve as an attempt to contribute to more teachers’ techniques in teaching vocabulary at junior high school in especially in Assholihiyah Lopan Ketas East Lombok as well as the reference to the teachers who teach English vocabulary. It applied a qualitative approach. The subject of the research was one of English teacher. The data was collected through questionnaire and interview. The data was analyzed through data reduction, display, and conclusion. The result was the teacher of class 1 (1 and 2) used the identifying picture and categorizing object technique.  And the teacher in class 1 (3) used categorizing objects technique to teach English vocabulary. Those techniques found from the textbook, so the teacher develops this technique by herself. In presenting English especially vocabulary, the teacher should be creative in choosing the material and able to stimulate the students interest.
SOLVING THE STUDENTS’ SPEAKING DIFFICULTIES THROUGH INTERVIEW AND JOKE AT MTS AL-MUSLIMUN NW TEGAL BATULAYAR
Authors: Salim Agus
Published: October 2020

This Action Research has been conducted to see how interview and joke are effective in solving the students’ speaking difficulties at MTs AL-Muslimun NW Tegal. This research is aimed at conducting an enjoy strategy to teach speaking. This research have been conducted since March 2015, it is done in four procedures in giving the treatment; planning, action, observing and reflecting. Then, pre-test and post-test are also the applied in collecting the data.  Meanwhile, the students consists two classes A and B, each class there are 23 students. B class was chosen as the sample. They are chosen because of  a reason: the students do not have motivation to learn English. It is proved with the findings in pre-test, most of them in answering and expressing their ideas got a lot of mistaken and do not know what to do. After the treatment done, the significant change happen. It could be seen from the finding at post-test, most of them in understanding and answering the question they got better. It also proved with their pronunciation, vocabularies, fluent and accuracy getting better and better.  It means that the interview and joke is one of the method teaching and learning good to be applied. This analyzing is temporarily dealing with the findings; it will be completed at the final report.
STRENGTHENING THE NATION VIA- NATIONAL LANGUAGE MAINTENANCE AND SOCIAL IDENTITY REINFORCEMENT
Authors: Aprianto Dedi
Published: October 2020

Conveniently, human language could be taken into consideration as a worth property at outset belonged to the whole man. It has been comprising a proper way for conveying thoughts, expression, and aims as well. A particular language is not only regarded as a national one but as a personal identity of nation. Thus, a language might articulate a given identity belonging to society such as way of speech and way of thinking. The presence of different way of talking is resulted by the different social background. Moreover, it is regarded as part of the groups existing in a community having sameness in terms of synchronic participation to produce a common language. In relevance to language as marvelous identity in which set of each human ought to be maintained through Education, language Policies, and language improvement. A nation might be considered as being progressive while possessing a particular language representing a typical and fervent identity. Having had fervent idealized identity, a nation could have been led to flourishing one in terms of expancement through a national language as well as ethnic language maintenance. In line with social changes passing in capacious social aspects which trigger towards human language as social, economy, politic, and culture. These social aspects of life could have been affected by unawareness of national language maintenance. Thus, the writer puts forward social change in terms of language shift to language death. A national language is considered as a identity symbolizing the existence of it, signifying the unite of folk, and triggering towards progressive traits of nation. In case of indigenous language lies on paramount role in terms of national aims due to the fact that aboriginal language belonging to societies can signifies its identity as well as represents the culture. A common type of language ideology are standard language ideologies, the belief that language homogeneity is beneficial to society to construct interconnection in the hope that they may properly make language live. Thus, the expancement of national language as well as indigenous language would be increasingly wide-spread towards national Advancement.
A STYLISTIC ANALYSIS OF PERSUASIONIN WONDERFUL INDONESIA’S ADVERTISEMENT
Authors: Islam Aang Fatihul , Cahyani Dian Anik
Published: October 2020

Widely language is interconnected, language, for example, as a means of expression in advertising. Wonderful Indonesia conducted with the aim to analyze the linguistic aspects of the narrator's danger style in persuading from the public or the public about the greatness of Indonesia. The main purpose of this research is to remove the kind of language style features including lexical patterns and lexicon-syntax options that can be metaphorical and prosodic features in the movements of audiences or listeners that are implemented in the advertising of Wonderful Indonesia choice. This research uses a content analysis research design with stilistika approach. The findings show the narrator in the advertisement Wonderful Indonesia applies two types of stylistics with lexical patterns that become: repetition, parallelism, and numbers. The second type is the lexico-syntactic option (figurative language) which is: antithesis and personification.
USING CLASSROOM-ENVIRONMENT APPROACH IN DEVELOPING THE STUDENTS’ SPEAKING SKILL AT MTS NW TEGAL
Authors: Salim Agus , Jumadil Jumadil
Published: October 2020

This study is aimed to prove that building students’  (MTs NW Tegal) abilities in English is easy. It can be proved from the analysis results before and after the research conducted. The early observation results show that the subject (students class II b) found any difficulties in expressing their ideas by using English. It is proved when they are demanded to introduce themselves, ask and answer the questions. To solve the problem the researcher applied classroom-environment approach. This research was conducted as long as one semester. The processes were started by doing the early observation and pre-test, then continued with teaching-learning process, and ended post-test. Reording was used to collect the data of the study. The recording was analyzed in three procedures, reduction, display and conclusion. The analysis results prove that the students’ abilities in speaking change significant.