Volume 33, Issue 2

The use of text mining in understanding the documents, and the novels can provide insights in supporting or making decisions. The purpose of this paper is to analyze an epic high fantasy novel “The Lord of the Rings”, one of the famous novels written by the writer J.R.R. Tolkien in search for how the novel is delivered to the audiences such as the way the author expressed and portrayed the characters, tone, style, and the choice of words in artistic ways that it has reached up 100 million copies of books being sold, and impact to them. This paper will explain the different analyses performed on the Lord of the Rings novel using text mining and explain the results of it. Frequent words analyses show the words most commonly used by the authors in delivering the novel. In other word, this shows the tone, type, and the choices of words. The sentiments analyses describe how each book in the novel gives different sentiments and what are the overall sentiments the author delivered. With different types of sentiment analyses and different lexicons, sentiments other than dualism (positive or negative) such as trust, anticipation, and disgust can be discovered in analyzing the novel. Therefore, sentiment analyses result not only the sentiments the audience will perceive but also depict the tone and style used in the novel. The bigram analysis presents word relationships, and the use of the tf-idf method finds the important words by weighting words. Overall, this paper explains text mining with NLP techniques on the Lord of the Rings novel, and the results of it.

Patient outcome expectancy – the belief that treatment will lead to an improvement in symptoms – is linked to favourable therapeutic outcomes in major depressive disorder (MDD). The present study extends this literature by investigating the temporal dynamics of expectancy, and by exploring whether expectancy during treatment is linked to differential outcomes across treatment modalities, for both optimistic versus pessimistic expectancy. Methods: A total of 104 patients with MDD were randomized to receive either cognitive behavioral therapy (CBT) or pharmacotherapy for 16 weeks. Outcome expectancy was measured throughout treatment using the Depression Change Expectancy Scale (DCES). Depression severity was measured using both the Hamilton Depression Rating Scale and Beck Depression Inventory-II. Results: Latent growth curve models supported improvement in expectancy across both treatments. Cross-lagged panel models revealed that both higher optimistic and lower pessimistic expectancy at mid[1]treatment predicted greater treatment response in pharmacotherapy. For CBT, the associative patterns between expectancy and depression differed as a function of expectancy type; higher optimistic expectancy at pre-treatment and lower pessimistic expectancy at mid-treatment predicted greater treatment response. Limitations: The sample size limited statistical power and the complexity of models that could be explored. Conclusions: Results suggest that outcome expectancy improved during treatment for depression. Whether outcome expectancy represents a specific mechanism for the reduction of depression warrants further investigation.

In this work, a virtual model for the simulation of Controller Area Network (CAN) transmission protocol is proposed. The proposed model is named as the Can Bus Simulation Model (CBSM). Underlying hardware of the CAN protocol is ignored as the objective is to lay down a base model for the grand process which is to be simulated under the windows operating system. The model is composed of virtual nodes, virtual bus and virtual container objects. The node objects interchange CAN message over the bus object. The bus object acts as if it were a CAN controller. The container object is the place holder for the bus and nodes objects. The model is based on the COM (Component Object Model) technology. A dynamic link library, CanServer.dll, implementing the proposed model is developed in C++. The library is made available by the author if requested

Hard turning is a turning process done on materials with a Rockwell C hardness greater than 45. It is typically performed after the work piece is heat treated. The process is intended to replace or limit traditional grinding operations. Hard turning can be applied for purely stock removal purpose or finishing purpose. Hard turning when applied for surface finish purpose can competes favorably with rough grinding (Ra = 0.5-0.8 µm). In Hard turning cutting velocity (Vc) is high i.e. machining time (Tm) is low due to which high amount of heat is generated at the chip-tool interface which not only increase the tool wear but also deteriorates the job quality in terms of surface finish. Therefore large amount of cutting fluid is used to increase the performance of hard turning operation due to which it becomes easier to keep tight tolerances but on the other hand use of cutting fluid has become more problematic in terms of cost, disposal, wastage and environmental pollution. Minimum quantity lubrication (MQL) is a good alternative to this flooded lubrication. This study investigates the performance of MQL with flooded lubrication in turning EN-31 by using Response Surface Methodology (RSM). ANOVA was used to find out the significant parameters. The results indicated that when range of cutting parameters (cutting velocity, feed & D.O.C) was low to medium turning with MQL provides some favorable results in terms of surface finish but with increase in the level of cutting parameters specially Vc and feed the surface finish obtained under MQL was less as compared to flooded lubrication, it means that MQL fails to reduce friction at the work–tool interface there by restricting the use of MQL to low range of cutting parameter only.

Stroke is a common condition that causes a complete or incomplete motor deficit, associated or not with other neurological disorders. Management is multidisciplinary, requiring regular follow-up where rehabilitation plays a major role, especially the re-education of the motor function which must be started as soon as possible. The means of rehabilitation available are numerous to make a choice of program adapted on a case by case basis. The main goal is to restore motor abilities, supplement the deficit functions and improve the quality of life of the hemiplegic patient for better autonomy.

The use of text mining in understanding the documents, and the novels can provide insights in supporting or making decisions. The purpose of this paper is to analyze an epic high fantasy novel “The Lord of the Rings”, one of the famous novels written by the writer J.R.R. Tolkien in search for how the novel is delivered to the audiences such as the way the author expressed and portrayed the characters, tone, style, and the choice of words in artistic ways that it has reached up 100 million copies of books being sold, and impact to them. This paper will explain the different analyses performed on the Lord of the Rings novel using text mining and explain the results of it. Frequent words analyses show the words most commonly used by the authors in delivering the novel. In other word, this shows the tone, type, and the choices of words. The sentiments analyses describe how each book in the novel gives different sentiments and what are the overall sentiments the author delivered. With different types of sentiment analyses and different lexicons, sentiments other than dualism (positive or negative) such as trust, anticipation, and disgust can be discovered in analyzing the novel. Therefore, sentiment analyses result not only the sentiments the audience will perceive but also depict the tone and style used in the novel. The bigram analysis presents word relationships, and the use of the tf-idf method finds the important words by weighting words. Overall, this paper explains text mining with NLP techniques on the Lord of the Rings novel, and the results of it.

Background: Diabetic neuropathy has peripheral nerve damage which can reduce proprioceptive function. This condition causes functional balance disorders which increases the risk of falls.This study aims to determine assosiation between Diabetic Neuropathy Symptoms (DNS) and Diabetic Neuropathy Examination (DNE) with Berg Balance Scale (BBS) in diabetic neuropathy patients. Method: a cross-sectional design, in diabetic neuropathy outpatient in Adam Malik General Hospital .DNS and DNE were performed to diagnose diabetic neuropathy and BBS examination to assess functional balance. Data analysis using spearman correlation test. Results: Demographic characteristics of 52 subjects were male, age range 51-60 years, history of 5-10 years DM and HbA1c> 6.5%. The median scores of DNS, DNE and BBS are respectively; 3 (2-4), 3 (0-8) and 56 (29-56). As many as 82.7% of subjects had a risk of falling lightly and 17.3% had a risk of moderate fall. DNS has a significant correlation with a decrease BBS (p

Introduction: Plasma antithrombin III associated with fibrinogen might help the risk assessment of acute ischemic stroke, but studies that discuss those levels in hemorrhagic stroke are still limited. Troponin I is a cardiac enzyme that has high sensitivity and specificity in the detection of heart injury after stroke. The purpose of this study is to determine the differences of antithrombin III, fibrinogen, and troponin I levels between acute ischemic stroke and acute hemorrhagic stroke. Method: This study used a descriptive analytic study with a cross sectional design. A total of 52 research subjects, consisting of 26 acute ischemic stroke patients and 26 acute hemorrhagic stroke patients were taken by consecutive non-random sampling method. The blood samples from the subjects that have been diagnosed by history taking, physical examination and head CT scan, were taken for examination of antithrombin III, fibrinogen, and troponin I levels. Data analysis was performed by unpaired T test and Mann-Whitney test. Results: The median antithrombin III level in the acute ischemic stroke group was 93.00%, while in the acute hemorrhagic stroke group was 101.85% (p=0.341). The mean fibrinogen level in the acute ischemic stroke group was 453.46 ± 171.16 mg/dL, while in the acute hemorrhagic stroke group was 399.15 ± 203.02 mg/dL (p=0.302). The median troponin I level in the acute ischemic stroke group was 0.00 ng/mL, while in the acute hemorrhagic stroke group was 0.00 ng/mL (p=0.698). Conclusion: There were no significant differences of antithrombin III, fibrinogen, and troponin I levels between acute ischemic stroke and acute hemorrhagic stroke.

This research aims at obtain a picture of the decision to invest in shariabanking. Acombination of qualitative and quantitative approaches was used. The qualitative approach was used to measure the comparisons between the factors that influenced the decision making and the list of references from the primary data, while the quantitative approach was used to rank the hierarchy and calculate the weight of each criterion by using the AHP method. The quantitative data were financial ratios of Non-Performing Financing, Provisioning Allowance Earning Assets, and Risk Weighted Assets. The results showed that of three sharia banks that were the samples, the priority weight value for BNI Syariah Bank was 0.51, Mandiri Syariah Bank 0.19, and BRI Syariah Bank 0.31. It can be concluded that BNI Syariah Bank had the highest priority weight value (0.51).

Peneliti membahas mengenai metafora dalam lirik lagu Fukai Mori yang dipopulerkan oleh Do As Infinity ditinjau dari segi semantik. Metafora adalah gaya bahasa yang melukiskan dua hal menjadi sama atau sebanding sebab keduanya memiliki sifat yang hampir serupa. Dalam mencari makna metafora dibutuhkan ranah sumber dan ranah sasaran. Teori yang digunakan pada penelitian ini adalah teori Ullman dan Lakoff dan Johnson. Ullman membagi metafora berdasarkan gaya kesusasteraan menjadi empat bagian, yaitu : 1) metafora antropomorfik, 2) metafora kehewanan, 3) metafora abstrak ke konkret dan 4) metafora sinestesia. Makna metafora tersebut dapat dianalisis dengan cara mengetahui arti dari tiap kata yang membentuk metafora.

Cement is the most used production fabric in recent trend cement concrete is update by using admixtures including, slag, fly ash, silica fume to increase the characteristics energy of excessive overall performance of concrete to be able to decrease the shrinkage and creep and to increase tensile power, fibers are added. The scope of gift studies accord with the strength properties of concrete, at the impact of fractionally substitute of cement via silica fume with distinctive possibilities viz 0%, 5%, 7.5 and 10% become used inside the concrete and polypropylene fiber used with percent 0%, 0.5%. Strength Properties research involve compressive energy flexural elasticity tensile elasticity and abrasion. In present research the power houses of excessive power concrete of M40 grade at 7 days 14 days 28 days feature elasticity with one of a kind changing degrees of cement with silica fume are attention.