bluuebunny/crossref_metadata_2025 huggingface dataset:
Actualidad del contexto constitucional del derecho disciplinario colombiano
Authors: Gómez Pavajeau Carlos Arturo
Published: March 2022

Se hace una evaluación histórica de la evolución del derecho sancionador en Colombia y de su naturaleza de supervisión estatal-final/privada, de la línea jurisprudencial maestra de la jurisprudencia constitucional sobre las especies de aquel, de las propuestas sobre una concepción sui generis del derecho disciplinario, sus expresiones como subespecies, sus líneas constitucionales de configuración como público, mixto o delegado y privado en un marco de la paradoja público/privado derecho nacional/derecho internacional, como respuestas a las críticas de un muy importante sector de la doctrina administrativista.
Synthesis and Prototyping of a 6-dof Parallel Robot for the Automatic Performance of Assembly Tasks
Authors: Landuré Jérôme , Gosselin Clément , Laliberté Thierry , Abdallah Muhammad E. ,   Laboratoire de Robotique, Department of Mechanical Engineering, Université Laval 1065 Avenue de la médecine, Québec, Qc G1V0A6, Canada,   Manufacturing Systems Research Lab., General Motors Research and Development GM Technical Center, Warren, MI 48092, USA
Published: March 2022

This paper presents the development of a 6-dof parallel robot for the performance of assembly tasks in a human-robot collaborative environment. The architecture and design of the robot are selected such that the robot is mechanically backdrivable. Thereby, the robot can physically interact with an environment or with humans without requiring the use of a force/torque sensor, which is the main objective of this work. The architecture of the robot is first described and its kinematic model is established. The Jacobian matrices are derived and an algorithm is presented for the determination of its workspace. The force capabilities of the robot are then established based on a proposed formulation. A prototype of the robot is presented and control schemes are developed, including a controller based on a vision system. Finally, a video demonstrating the experimental validation of the robot accompanies this paper. The video qualitatively demonstrates the interaction capabilities of the robot.
Data Augmentation Using Generative Adversarial Networks for Multi-Class Segmentation of Lung Confocal IF Images
Authors: Katsuma Daiki , Kawanaka Hiroharu , Prasath V. B. Surya , Aronow Bruce J. ,   Graduate School of Engineering, Mie University 1577 Kurima-machiya, Tsu, Mie 514-8507, Japan,   Division of Biomedical Informatics, Cincinnati Childrens Hospital Medical Center 3333 Burnet Aveue, Cincinnati, OH 45229, USA,   Department of Pediatrics, University of Cincinnati College of Medicine Cincinnati, OH 45257, USA
Published: March 2022

The human lung is a complex organ with high cellular heterogeneity, and its development and maintenance require interactive gene networks and dynamic cross-talk among multiple cell types. We focus on the confocal immunofluorescent (IF) images of lung tissues from the LungMAP database to reveal lung development. Using the current state-of-the-art deep learning-based model, the authors consider obtaining accurate multi-class segmentation of lung confocal IF images. One of the primary bottlenecks in using deep Convolutional Neural Network (CNN) models is the lack of availability of large-scale training or ground-truth segmentation labels. Then, we implement the multi-class segmentation with Generative Adversarial Network (GAN) models to expand the training dataset, improve overall segmentation accuracy, and discuss the effectiveness of created synthetic images in the segmentation of IF images. Consequently, experimental results indicated that 15.1% increased the accuracy of six-class segmentation using Mask R-CNN. In particular, the accuracy of our few data was mainly improved by using our proposed method. Therefore, the synthetic dataset can moderate the imbalanced data and be used for expanding the dataset.
Research on Delivery Network Optimization Based on Crowdsourcing Theory
Authors: Li Jiacheng , Noto Masato , Zhang Yang ,   Department of Electrical, Electronics and Information Engineering, Kanagawa University 3-27-1 Rokkakubashi, Kanagawa-ku, Yokohama, Kanagawa 221-8686, Japan,   Graduate School of Science and Engineering, Hosei University 3-7-2 Kajino-cho, Koganei, Tokyo 184-8584, Japan
Published: March 2022

Under a new wave of technological revolution and industrial change, Internet plus has penetrated into every aspect of production and life. For the traditional takeout industry, the new crowdsourcing distribution mode based on o2o (online to offline) provides new ideas for distribution but also leads to great challenges. In view of the existing development problems and transformation needs of the delivery network, this paper explores the delivery mechanism of delivery orders in crowdsourcing mode, focusing on the delivery path and work efficiency. To optimize the delivery network, taking the shortest delivery path and the least time delay as objectives, this paper establishes a crowdsourcing delivery path optimization model with a time window and includes an example application model. The results show that the model can solve the delivery problem in crowdsourcing mode.
Automatic Neonatal Alertness State Classification Based on Facial Expression Recognition
Authors: Morita Kento , Shirai Nobu C. , Shinkoda Harumi , Matsumoto Asami , Noguchi Yukari , Shiramizu Masako , Wakabayashi Tetsushi ,   Graduate School of Engineering, Mie University 1577 Kurimamachiya-cho, Tsu, Mie 514-8507, Japan,   Center for Information Technologies and Networks, Mie University 1577 Kurimamachiya-cho, Tsu, Mie 514-8507, Japan,   Kagoshima Immaculate Heart University 2365 Amatatsu-cho, Satsumasendai, Kagoshima 895-0011, Japan,   Suzuka University of Medical Science 3500-3 Minamitamagaki, Suzuka, Mie 513-8670, Japan,   St. Mary College 422 Tubuku-Honmachi, Kurume, Fukuoka 830-8558, Japan,   Kyushu University Hospital 3-5-25 Maidashi, Higashi-ku, Fukuoka, Fukuoka 812-8582, Japan
Published: March 2022

Premature babies are admitted to the neonatal intensive care unit (NICU) for several weeks and are generally placed under high medical supervision. The NICU environment is considered to have a bad influence on the formation of the sleep-wake cycle of the neonate, known as the circadian rhythm, because patient monitoring and treatment equipment emit light and noise throughout the day. In order to improve the neonatal environment, researchers have investigated the effect of light and noise on neonates. There are some methods and devices to measure neonatal alertness, but they place on additional burden on neonatal patients or nurses. Therefore, this study proposes an automatic non-contact neonatal alertness state classification method using video images. The proposed method consists of a face region of interest (ROI) location normalization method, histogram of oriented gradients (HOG) and gradient feature-based feature extraction methods, and a neonatal alertness state classification method using machine learning. Comparison experiments using 14 video images of 7 neonatal subjects showed that the weighted support vector machine (w-SVM) using the HOG feature and averaging merge achieved the highest classification performance (micro-F1 of 0.732). In clinical situations, body movement is evaluated primarily to classify waking states. The additional 4 class classification experiments are conducted by combining waking states into a single class, with results that suggest that the proposed facial expression based classification is suitable for the detailed classification of sleeping states.
Torque Control for Electric Drive System Used in Electric Vehicle in the Presence of Permanent Magnet Demagnetization Faults
Authors: Huang Gang , Li Jiajun , Huang Wei , Yang Yao , Zhao Kaihui ,   College of Railway Transportation, Hunan University of Technology No.88 Taishan Xi Road, Tianyuan District, Zhuzhou, Hunan 412007, China,   Hunan Traditional Chinese Medical College No.136 Lusong Road, Lusong District, Zhuzhou, Hunan 412012, China,   College of Electrical and Information Engineering, Hunan University of Technology No.88 Taishan Xi Road, Tianyuan District, Zhuzhou, Hunan 412007, China
Published: March 2022

The performance of conventional torque control for PMSM drive used in electric vehicles (EVs) from the viewpoint of permanent magnet (PM) demagnetization faults has not been satisfactory. Therefore, a combination method based on sliding-mode observer and active disturbance rejection control is presented. First, the model of the PMSM system with PM demagnetization faults is constructed. Then, a sliding-mode observer is designed based on a minimum extended flux linkage to estimate the torque and the PM flux linkages of the system. A current controller is presented based on active disturbance rejection control approach to reject the PM demagnetization faults. The method is useful to improve the control performance of the PMSM drive system. And the system is robust to system parameters variations. Finally, an RT-LAB real-time simulation is used to build a simulation model of hardware-in-the-loop based on the experimentally validated model that is derived from the actual development process for an electric bus. The simulation and experimental results demonstrate the effectiveness of the method.
Embedding-Based Potential Sales Forecasting of Bread Product
Authors: Takahashi Kohei , Goto Yusuke ,   Graduate School of Software and Information Science, Iwate Prefectural University 152-52 Sugo, Takizawa, Iwate 020-0693, Japan,   College of Systems Engineering and Science, Shibaura Institute of Technology 307 Fukasaku, Minuma-ku, Saitama, Saitama 337-8570, Japan
Published: March 2022

In this study, we investigate the potential sales forecasts of unhandled bread products in retail stores based on factory shipment data. An embedding-based forecasting method that uses large-scale information network embedding (LINE) and simultaneously considers first- and second-order proximities is developed to define similar neighboring stores using their product–store relationship and to predict their potential sales volume. LINE is a network-embedding method that transforms network data into a low-dimensional distributed representation and requires a low computation time, even when applied to large networks. The results show that our proposed method outperforms a simple prediction method (Baseline) and t-SNE, a well-known dimensionality reduction method for high-dimensional data, in terms of accurate product sales prediction via simulation experiments. Furthermore, we conduct a sensitivity analysis to verify the applicability of our proposed method when the forecasting target is expanded to products sold in fewer stores and in stores with less product variety.
Simultaneous Detection of Loop-Closures and Changed Objects
Authors: Tanaka Kanji ,   Graduate School of Engineering, University of Fukui 3-9-1 Bunkyo, Fukui, Fukui 910-8507, Japan, Yamaguchi Kousuke , Sugimoto Takuma
Published: March 2022

Loop-closure detection (LCD) in large non-stationary environments remains an important challenge in robotic visual simultaneous localization and mapping (vSLAM). To reduce computational and perceptual complexity, it is helpful if a vSLAM system has the ability to perform image change detection (ICD). Unlike previous applications of ICD, time-critical vSLAM applications cannot assume an offline background modeling stage, or rely on maintenance-intensive background models. To address this issue, we introduce a novel maintenance-free ICD framework that requires no background modeling. We demonstrate that LCD can be reused as the main process for ICD with minimal extra cost. Based on these concepts, we develop a novel vSLAM component that enables simultaneous LCD and ICD. ICD experiments based on challenging cross-season LCD scenarios validate the efficacy of the proposed method.
The Effect of Combination Ovariectomy and D-galactose Administration on Alzheimer's Animal Model
Authors: F. Faradila , S. Yuliarni , S. Rika , Liputo Nur I.
Published: March 2022

Background and purpose: Animal model helps researchers to evaluate new treatment plan for human and understand pathological mechanism involved in a development of disease. The use of rats as an animal model for Alzheimer's research has become a favorite among researchers. Rats are capable in mimicking Alzheimer disease due to their intelligence and quick adaptation to nature. At present there are several methods that can be used to induce Alzheimer's animals, but each method has advantages and disadvantages. We need to learn other methods that can provide many advantages and few disadvantages. The Amyloid-beta 42 (Aβ-42) and Reactive Oxygen Species (ROS) are thought to play an important role in the pathology of Alzheimer’s disease. This study aims to investigate whether ovariectomy and D-galactose can be an effective method for inducing Alzheimer's animal models.
This was an experimental study with control group design. Twelve female Sprague Dawley rats were involved and grouped into two groups. Control group who did not undergo ovariectomy and the experiment group underwent ovariectomy and was given intraperitoneal D-galactose 500 mg/kg.bw. Amyloid beta-42 plasma and Y-Maze test were conducted after 6 weeks. The results showed that the experiment group has lower mean Y-Maze score (42,79 ± 6,97) compared with control group (74,27 ± 4,01) and the Amyloid-beta 42 plasma was higher in the control group. In conclusion ovariectomy and D-galactose are proven to induce cognitive decline and higher plasma Amyloid-beta 42 in the Alzheimer’s animal model.
On Finitely Null-additive and Finitely Weakly Null-additive Relative to the σ–ring
Authors: Asaad Samah H. , Ahmed Ibrahim S. , Ebrahim Hassan H.
Published: March 2022

This article introduces the concept of finitely null-additive set function relative to the σ– ring and many properties of this concept have been discussed. Furthermore, to introduce and study the notion of finitely weakly null-additive set function relative to the σ– ring as a generalization of some concepts such as measure, countably additive, finitely additive, countably null-additive, countably weakly null-additive and finitely null-additive. As the first result, it has been proved that every finitely null-additive is a finitely weakly null-additive. Finally, the paper introduces a study of the concept of outer measure as a stronger form of finitely weakly null-additive.
Assessment of Obesity, Dyslipidemia, Hyperglycemia, and Pro-Inflammatory Cytokines as Cardiovascular Disease Risk Factors in Acromegaly Patients
Authors: Tahir Noor Thair. , Abdulsattar Sura A. , Alkazzaz Fatin F.
Published: March 2022

Cardiovascular disease is one of the most common comorbidities associated with enlarged extremities, occurring in 60 % of patients with acromegaly. The aim of this study is to evaluate the relationship of growth hormone and insulin such as growth factor-1 with obesity, dyslipidemia, hyperglycemia, and pro-inflammatory cytokines (IL-2, IL-6, IL-10), as risk factors for cardiovascular disorder in acromegaly patients. Eighty subjects were included and categorized into two groups: 40 acromegaly patients and 40 of the control group. The results indicated weight excess, hyperglycemia, hypertension, lipid disorder, and elevated levels of interleukins (2, 6, and 10). The correlation of both GH and IGF-1 with each of weight, BMI, systolic blood pressure, diastolic blood pressure, FBS, HbA1c, cholesterol, triglyceride, LDL, IL6, IL2, and the atherogenic index was found to be positive and significant. Meanwhile, only IGF-1 was significantly correlated with IL10. We conclude that elevated levels of IL2, IL6, IL 10 and their association with both GH and IGF-1 as well as to lipid disorder, hyperglycemia, and hypertension criteria of acromegaly patients are all risk factors for cardiovascular disease, suggesting the necessary clinical examination for cardiovascular disorder in patients with acromegaly patients.
Offline Signature Biometric Verification with Length Normalization using Convolution Neural Network
Authors: Alkattan Zahraa Mazin , Aldabagh Ghada Mohammad Tahir
Published: March 2022

Offline handwritten signature is a type of behavioral biometric-based on an image. Its problem is the accuracy of the verification because once an individual signs, he/she seldom signs the same signature. This is referred to as intra-user variability. This research aims to improve the recognition accuracy of the offline signature. The proposed method is presented by using both signature length normalization and histogram orientation gradient (HOG) for the reason of accuracy improving. In terms of verification, a deep-learning technique using a convolution neural network (CNN) is exploited for building the reference model for a future prediction. Experiments are conducted by utilizing 4,000 genuine as well as 2,000 skilled forged signature samples collected from 200 individuals. This database is publicly distributed under the name of SIGMA for Malaysian individuals. The experimental results are reported as both error forms, namely False Accept Rate (FAR) and False Reject Rate (FRR), which achieved up to 4.15% and 1.65% respectively. The overall successful accuracy is up to 97.1%. A comparison is also made that the proposed methodology outperforms the state-of-the-art works that are using the same SIGMA database.
Human Face Recognition Based on Local Ternary Pattern and Singular Value Decomposition
Authors: Razzaq Ali Nadhim , Ghazali Rozaida , El Abbadi Nidhal Khdhair , Al Naffakh Hussein Ali Hussein
Published: March 2022

There is various human biometrics used nowadays, one of the most important of these biometrics is the face. Many techniques have been suggested for face recognition, but they still face a variety of challenges for recognizing faces in images captured in the uncontrolled environment, and for real-life applications. Some of these challenges are pose variation, occlusion, facial expression, illumination, bad lighting, and image quality. New techniques are updating continuously. In this paper, the singular value decomposition is used to extract the features matrix for face recognition and classification. The input color image is converted into a grayscale image and then transformed into a local ternary pattern before splitting the image into the main sixteen blocks.  Each block of these sixteen blocks is divided into more to thirty sub-blocks. For each sub-block, the SVD transformation is applied, and the norm of the diagonal matrix is calculated, which is used to create the 16x30 feature matrix. The sub-blocks of two images, (thirty elements in the main block) are compared with others using the Euclidean distance.  The minimum value for each main block is selected to be one feature input to the neural network. Classification is implemented by a backpropagation neural network, where a 16-feature matrix is used as input to the neural network. The performance of the current proposal was up to 97% when using the FEI (Brazilian) database. Moreover, the performance of this study is promised when compared with recent state-of-the-art approaches and it solves some of the challenges such as illumination and facial expression.
Evaluation of atmospheric cold plasma technique activity on phenylpropanoids gene expression and essential oil contents and different traits of Ocimum basilicum L.
Authors: Jasim Shaimaa Fakhri , Abdulbaqi Nemat   J. , Al-zubaidi Labeeb Ahmed
Published: March 2022

The current study was conducted for studying the impact of cold plasma on the expression level of three genes that participate in the biosynthesis of the phenylpropanoid pathway in Ocimum basilicum. These studied genes were cinnamate 4-hydroxylase (c4h), 4-coumarate CoA ligase (4cl), and eugenol O-methyl transferase (eomt). Also, the cold plasma impact was studied on the essential oil components and their relation with the gene expression level. The results demonstrated that cold plasma seeds germination of the treated groups 2 (initially for 3 minutes and 3 minutes after 7 days) ,and group 3(initially for 5 minutes and 3 minutes after 7 days)  were faster than the control group. Also, the height average of the mature plants of groups 2and 3 was between (50 to73), (50 to 100) cm, respectively compared to the control group which was (40 to 70cm). Moreover, the results indicated significant differences (P-value ≤0.01) in the level of gene expression, which increased for the c4h, 4cl, and eomt genes in group 2 about (5.63 ±0.39), (3.42 ±040) ,and (5.41±0.23) folds respectively compared with untreated control. Additionally, the level of gene expression increased for the c4h, 4cl, and eomt genes in group 3 about (42.34 ±049), (4.13 ±0.38), and (6.29 ±0.71) folds compared with untreated control(1.00 ±0.00) folds.Concerning the contents of essential oil for the control group, group 2, and group 3 were 0.434%, 0.713, and 0.792% (v/w) respectively. Moreover,  the general composition of the essential oil in the examined sweet basil,  phenylpropanoids was the eugenol compound and its derivatives for the control group, group 2, and group 3 which were  2.76%, 8%, and 11% (v/w) respectively. We concluded that the atmospheric cold plasma has shown an effect on gene expression and essential oil content of phenylpropanoid compounds in Ocimum basilicum L. cultivated in Iraq, as the essential oil contents have important therapeutic properties.
Absorption and Fluorescence Properties of 3,6-bis(5-bromothiophen-2-yl)-2,5-bis(2-ethylhexyl)-2,5-dihydropyrrolo[3,4-c]pyrrole-1,4-dione. A Covalent Fluorescence in Solution and in the Solid State
Authors: Al-Aqar Roza
Published: March 2022

In the cuurent article, the photophysical properties of 3,6-bis(5-bromothiophen-2-yl)-2,5-bis(2-ethylhexyl)-2,5-dihydropyrrolo[3,4-c]pyrrole-1,4-dione were investigated. The visible absorption bands at 527, 558 and 362 nm in propylene carbonate and the compound was found to be fluorescent in solution and in the plastic film with emission wavelengths between 550- 750 nm. The Stokes Shift of P.C., acetonitrile, diethyl ether, Tetrahydrofuran THF, cyclohexane, dibutyl ether, and dichloromethane DCM  are 734, 836, 668, 601, 601, 719, and 804 cm-1 in respectively. The Stokes Shift Δ was less in THF and cyclohexane, than the solvents, which indicates that the energy loss is less between the excitation and fluorescence states. The photophysical characterizations were carried out on the compound in different solvents, the compound displays 12 nm red-shift in the absorption maximum in toluene compared with in propylene carbonate P.C, which the λmax was 558 nm in P.C. The compound displays 5 and 10 red-shifts in the absorption maximum in diethyl ether and dibutyl ether respectively. The absorption band is almost insensitive to the polarity of the solvent, showing only a slight red shift from 563 nm in diethyl ether to 569 nm in cyclohexane  and also red shift from 558 nm in acetonitrile to 570 nm in toluene , which appreciably red-shifted depending on the polarity of the solvent. The emission maxima of the dye slightly shift more red region, such as DCM and toluene when compared this compound in other solvents. The dye showed a slight red shift ca. 5 nm on moving from the acetonitrile to the less polar solvent, such as dichloromethane DCM.
Violation of the Hormonal Spectrum in Polycystic Ovaries in Combination with Insulin Resistance. What is the Trigger: Insulin Resistance or Polycystic Ovary Disease?
Authors: V Lomteva S , P Shkurat T , S Bugrimova E , S Zolotykh O , A Alexandrova A , V Karantysh G
Published: March 2022

Polycystic ovary syndrome (PCOS) is the main cause of female infertility. The role of insulin resistance in the development of polycystic ovary is actively discussed here. The study included patients with PCOS without insulin resistance (n = 48) and with insulin resistance (n = 39). The comparison groups were patients with no history of PCOS: a control group without insulin resistance (n = 46) and a group of patients with insulin resistance (n = 45). The following parameters were determined in patients: FSH, LH, TSH, T3f, T4f, PRL, E2, 17-OHd, Pr, AMH, Test total, Testf, DHEAS, DHEASs, SHBG, ACTH, cortisol, IRI, IGF-1, C-peptide, and glucose level. The HOMA-IR index and the LH / FSH ratio and the total / SHBG test were calculated. Correlation analysis was also performed between HOMA IR and indicators of the hormonal profile, IGF-1, and C-peptide.Unidirectional changes in the levels of the following hormones were found in insulin resistance, PCOS and / or insulin resistance relative to control values: estradiol, total testosterone, cortisol, prolactin, AMG, and SHBG. As a result of the correlation analysis, negative relationships were established between the HOMA IR Index and the levels of E2, cortisol and AMH in patients (except for the control group).We assume that the formation of the phenotype of polycystic ovary with a combination of insulin resistance can be formed in patients with insulin resistance as a result of a decrease in the level of estradiol, SHBG and an increase in the content of total testosterone and AMH.
Reparación de los cajeros automáticos (APS) y mejora del sistema de pago de estacionamiento en el Centro Comercial Minka, Callao, Perú 2021
Authors:   , Zevallos Baldeon Manuel Junior , Vidal Alvarez Rossio del Pilar , Tapia Quispe Mario Fernando , Orihuela Espinoza Keshia Ruth
Published: March 2022

Los Portales es una empresa dedicada a cuatro rubros de negocios (hotel, vivienda, estacionamiento y renta). Nosotros hablaremos del rubro de estacionamiento, el cual brinda el servicio de administración y operación de estacionamientos a nivel nacional, ofreciendo a las empresas la optimización y rentabilidad de su servicio de estacionamiento, poniendo en manos de profesionales. El presente trabajo propone mejorar el servicio de pago en los cajeros automáticos (APS), en el estacionamiento del centro comercial Minka en el Callao. De esta manera el centro comercial tendrá un sistema de pago más eficiente, con las mismas características de un cajero automático de última generación y con un menor costo en la inversión. Los Portales planteo en un inicio al cliente comercial el cambio de los cajeros automáticos, por uno moderno con tecnología de punta, pero debido al alto precio que implica el cambio no se llegó a un acuerdo. Preocupado por los constantes reclamos y la insatisfacción de los clientes. Se iniciará una reparación de los cajeros automáticos (APS), implementando nuevos aditamentos y cambiando piezas por unas modernas que permitan un funcionamiento óptimo. De esta manera se evitarán largas colas en los días con flujo vehicular alto, reportes de averías de los cajeros automáticos (APS) por parte del centro comercial, reduciendo el tiempo que toma un cliente en cancelar su ticket de estacionamiento. Finalmente analizaremos los resultados obtenidos por la reparación de los cajeros automáticos, la inversión que se realizó, la reducción de quejas y tiempo que toma el cliente en cancelar su ticket de estacionamiento.
ORTHODONTIC INTRUSION OF SINGLE MOLAR USING MINI IMPLANT- PRE-PROSTHETIC ORTHODONTICS-A CASE REPORT!
Authors: Baby Belwin , Ponnamma A.R Sanshavi , Paily Blessent Bibin , B. Reddy Goutham , Somaiah Sanju
Published: March 2022

Aim: To demonstrate a case using mini-implant-supported orthodontic molar intrusion to regain ideal crown height space (CHS) for a prosthetic crown. Background: Supraerupted maxillary molars are a common clinical finding either due to tooth loss or due to loss of structure of mandibular molar. Hence, it is necessary to regain the lost vertical dimension before the prosthesis, either conventionally by endodontic and prosthetic intervention or by orthodontic intrusion with the aid of temporary anchorage devices (TADs). Conclusion: The present case report demonstrated the successful role of mini-implants in orthodontic molar intrusion for establishing an ideal CHS for a prosthetic crown.
Japanese Netizens’ Expressive Speech Acts’ Expression Realm towards Prime Minister Shinzo Abe's Resignation
Authors: Astami Timur
Published: March 2022

The aim of the research was to find out the respondent’s form, approach, and purpose in expressing speech acts in online media. As a public space, the media is a place where its readers are allowed to freely express their expression, and the comment section is one of the public spaces of the media. The research applied a library research method of collecting data from several online media sources. There were 10 data collected to know the netizen’s opinion about Prime Minister Abe’s resignation. With the SBLC technique, where the research observed without engaging in the conversations, the data would be collected, categorized, and chosen based on the purpose of the expressive speech. The data result in the respondents’ negative and positive expressive speeches on Prime Minister Abe’s resignation. Meanwhile, the respondents take direct approaches to express thanks, satire, suspicion, criticism, insult, disappointment, and censure.
The Reflection of Wabi Sabi in the Novel Joseito by Dazai Osamu
Authors: Devi Rima , Hasibuan Aminah , Ferdinal Ferdinal
Published: March 2022

The research examined the life’s perspective of the author that was reflected in wabi sabi in the novel ‘Joseito’ by Dazai Osamu. The life of the Joseito character described by Dazai Osamu in the Joseito novel had individual values (honne), and Joseito desired to equate it with collective values (tatemae). However, Joseito could not unite the two contradictory values and accepted the contradiction. The method used was descriptive qualitative, with the sociology of literature approach and focused on the sociology of the author using the concept of wabi sabi. Data on wabi sabi were collected from reading Joseito’s novels. The research results find that Dazai Osamu sincerely accepts the contradictions in Japanese society because Dazai can place himself where he is. Dazai is willing to accept contradictions in Japanese society by understanding the meaning of wabi sabi. He learns to appreciate, accept what it is, and be grateful for the contradictions in society because these contradictions can establish harmony in a beautifully ordered life through wabi sabi.
Learning L2 by Utilizing Dictionary Strategies: Learner Autonomy and Learning Strategies
Authors: Rahmat Yurike Nadiya , Saputra Andri , Hakim M. Arif Rahman , Saputra Eko , Serasi Reko
Published: March 2022

The research aimed to discover what strategies learners employed in using dictionaries and examine the EFL learners’ perspectives in using dictionaries to learn English. Dictionaries were considered meaningful by EFL learners as they were central devices that assisted learning second-language vocabulary. However, not many researchers have investigated the use of these three dictionary strategies in the English for Foreign Language (EFL) context, especially in Indonesia. The data were collected using dictionary strategy questionnaires and semi-structured interviews. One hundred forty-eight students from an Indonesian higher education institution completed a questionnaire survey voluntarily, and then they were selected as samples regarding purposive sampling that typically represented the population. The questionnaire was divided into two parts. The first asked for participants’ personal information and provided several statements from Gu and Johnson about dictionary strategies. The second solicited their opinion about using a dictionary, translated in the Indonesian language. The results show that Indonesian students are aware of how to use dictionaries for comprehension, extended, looking-up strategies, and exploring their beliefs about applying dictionary strategies. These results can help language teachers have a deeper perspective on students’ dictionary strategies in learning so that educators can use those three main dictionary strategies. One such strategy is that teachers can introduce the approaches to their students either implicitly or explicitly by designing meaningful assignments and providing relevant activities and tasks for the students. Therefore, deciding to use a dictionary to overcome the issue is one of the best ways to deal with vocabulary acquisition as it offers more benefits.
An Ecolinguistic Study on Ecospiritual Tourism of Rebo Buntung Commoddification
Authors: Supatmiwati Diah , Suktiningsih Wiya , Sutarman Sutarman , Abdussamad Zainudin , Muhid Abdul
Published: March 2022

The research examined the relationship between cultural ritual, linguistic, and ecology in the context of ecotourism. It aimed to encourage, stimulate, and integrate the use of religious tradition’s terms in understanding and reinterpreting the environment and human relations and its roles. Cultural forms and elements basically had the potential to be used as a tourism commodity, meaning that they could be commodified. The research also related to ecolinguistics, a study that discussed language associated with the environment in which the language grew and developed and how it was used by the community. Cultural rituals as a tourism commodity could be a means of maintaining culture and language even though they were commodified for tourism purposes. Thus, the religious-cultural structure of Rebo Buntung and Tetulaq Tamperan should be packaged following its original structure as a medium for cultural and language preservation but also packaged as attractively as possible with a contextual structure that adapted to tourism sites so that could attract tourists. This ecospiritual commodification was expected to be able to budge the economy of the surrounding community. The research was conducted at Ketapang Beach, Tanjung Menangis, Pringgabaya district, and East Lombok where Rebo Buntung ritual was carried out. The research applied a qualitative descriptive method. For this reason, the data obtained were analyzed using qualitative descriptive analysis by describing the data obtained from an informant. On that basis, it can be concluded that the practice of ecospriritual commodification can have multiple effects, not only to preserve culture and language but also to maintain community harmony with nature, as well as improve the economy of the local community.
Representation of Pakistani Culture through Code-Mixing: A Critical Analysis of the Novel Holy Woman by Qaisra Shahraz
Authors: Muhammad zawar Khan , Sana Sardar , Muhammad Nazir
Published: March 2022

The research aimed to analyze the characteristics of code-mixing in the novel The Holy Woman by Qaisra Shahraz and the repetition of Urdu words. Code-mixing was an unconscious process that established communication in a multilingual community. It would describe research design, data collection, reasons for accumulating data from the novel, models of linguistic features, and the contextual areas of South Asian English and data analysis. The research applied a qualitative method of analysis that probed the enormous data and detailed analysis of the novel to find out features of code-mixing, the native socio-cultural realities to show the lexical gap. The research depicted the ideologies related to a different culture in Pakistan through code-mixing and language use in the novel. The data had been analyzed through Baumgartner, Kennedy, and Shamim’s (1993) and Kachru’s (1983) model of code-mixing. The research finds that the writer spots the light on the regional varieties that sound more familiar to the readers and Pakistani English to fill the lexical gap because they sometimes do not find proper words in standard English. The writer has used the words frequently in the novel to actualize the inherent culture of society and describe socio-cultural realities. The research has found 400 words (English-Urdu words) in the thirty-two semantic contexts. The writer has mixed Urdu words with the English language where it is needed because of the contextual, cultural differences, social norms, values, beliefs, ideas, customs, and traditions of the society; and stress the importance of Pakistani English with distinct linguistic features.
English Lecturers’ Digital Literacy and Their Scientific Publication: Seeking the Correlation
Authors: Roza Veni
Published: March 2022

The research aimed at seeking the correlation between English lecturers’ digital literacy and their productivity in publishing their research articles. It applied a quantitative research by correlating the variables between the online questionnaire result of English lecturers’ digital literacy and lecturers’ scientific publication data from their Google Scholar accounts and Science and Technology Index Portal or SINTA Portal of the Republic of Indonesia. The research population was all permanent English lecturers at State Islamic Higher Education in West Sumatera. There were 65 respondents in three institutions, but only 85% of participants gave feedback on the online questionnaire. The questionnaire was about the digital literacy of English lecturers in using and finding digital information and technology. The research also accounted online journal publication of each English lecturer in his/her account. To analyze the data, the research used the Pearson correlation formula. The finding reveals a positive correlation between English lecturers’ digital literacy and their research publication, as shown by the Pearson correlational coefficient, 0,48. The score lies between 0,40-0,59, which is under sufficient category. The result implies that English lecturers’ digital literacy has something to do with publication. The more digitally literate they are, the more productive they will be, even though there are other factors that influence someone to carry out the publication.
Thematic Progression in EFL Learners’ Writing: A Literature Review
Authors: Fitriati Sri Wuli , Gayatri Nurjannah Mutiara
Published: March 2022

By examining relevant research articles published in reputable journals or conference proceedings in 2013-2020, the literature review article attempted to shed light on the areas: (1) contributions of thematic progression to the coherence and cohesion quality of EFL (English as a Foreign Language) learners’ writing, (2) EFL learners’ problems regarding thematic progression in their writing, and (3) research on pedagogical implications of thematic progression on teaching writing. While there have been extensive studies on thematic progression, it remained intriguing to investigate the extent to which this topic had been explored by scholars, particularly in the context of English as a foreign language. The previous studies had consistently confirmed the following results: (1) thematic progression contributes to the coherence and cohesion quality of EFL learners’ writing, (2) problematic thematic progression in EFL learners’ writing included the emergence of the brand new theme, double rheme, empty rheme, empty theme, overuse of constant theme pattern, overwhelming selection of textual theme, and (3) some studies evidenced good results of integrating thematic progression in teaching writing. The research suggests that further research develops a more detailed and systematic procedure of teaching thematic progression in a specific EFL teaching-learning context by integrating thematic progression theory with English language teaching materials. Furthermore, the research calls for more experimental research on teaching thematic progression to determine the significance of this method in enhancing students’ writing quality.
Horse anaplasmosis as a cause of CNS infections and the use of computed tomography as a diagnostic imaging tool to present of its cerebral form: literature review supplemented with a clinical case
Authors: NOWICKA BEATA , POLKOWSKA IZABELA , ADASZEK ŁUKASZ , ŁOPUSZYNSKI WOJCIECH , KOMSTA RENATA , KOROLCZUK AGNIESZKA , JACKÓW-NOWICKA JAGODA
Published: March 2022

Anaplasma phagocytophilum is an intracellular bacteria that causes several non-specific symptoms (for instance, horse lying down), posing problems in differential diagnosis. Usually, symptoms appear few days after tick exposure. Less often their neurological forms are observed to be correlated with visible neuroanatomical localization, with computed tomography (CT) or magnetic resonance (MRI). The aim of this paper is to present the review of a neurological form of EGA in a horse as well as localization of hypodense cerebral changes with the use of CT. This work also describes a case of a horse suffering from anaplasmosis confirmed by positive PCR results for Anaplasma phagocytophilum from peripheral blood and cerebrospinal fluid, four months after exposure to ticks. In 30% of such cases blood smear tests showed no evidence of bacteria. Hypodense lesions were observed in the CT scan of the brain and brainstem. As demonstrated by literature in humans, anaplasmosis can be considered in differential diagnosis as a potential cause of non-specific neurological symptoms, particularly in areas endemic for anaplasmosis, where animals are exposed to contact with ticks. Possible neurological complications in horses as a result of anaplasmosis have been reported but there are no reports on the identification and diagnosis of the brain in cerebral anaplasmosis by using CT or MRI imaging tools. So far, such a diagnostic procedure in the case of tick diseases has been identified in case of humans only.
Robotic micromanipulation: b) grippers for biological objects
Authors: Bučinskas Vytautas , Subačiūtė-Žemaitienė Jurga , Dzedzickis Andrius , Šutinys Ernestas , Morkvėnaitė-Vilkončienė Inga
Published: March 2022

Recent progress in the field of microrobotics tightly linked to an ability to grab an object firmly without the damage to the surface and structure. Process of biological object grabbing by microgrippers faces numerous limitations in the mechanical, electric and thermal domains; these limitations varies from case to case with different objects, therefore, analysis in this area was an aim of this review. This paper covers an area of micrometric size biological object manipulation and performs an analysis of used actuators and kinematic chains of the grippers in the sense of their application. Limitations and restriction of microgrippers applications analysed along available publications in numerous recent references as well as their successful implementation history. Paper provides result of analysis as compact big picture, which will be useful for researchers and designers in the area of microrobotics.
Potencial dendroenergético de dos clones de Eucalyptus sp. en Corrientes, Argentina
Authors: Maggio Alejandro Daniel , Caniza Federico Javier , Cellini Juan Manuel , Martinez-Meier Alejandro
Published: March 2022

Las plantaciones forestales con fines energéticos tienen como objetivo la obtención de grandes cantidades de biomasa mediante rotaciones de corta duración. El objetivo de este trabajo fue determinar el potencial dendroenergético de dos clones de Eucalyptus sp. creciendo en las lomas y planicies arenosas de Corrientes, Argentina. Se analizaron las relaciones entre productividad de biomasas y variables silvícolas, climáticas y ambientales. La sobrevivencia y la productividad en volumen fue alta. Se registraron diferencias significativas entre clones para la producción de biomasa en función de sus compartimentos y edad. A los 24 meses la producción de biomasa de fuste para un esquema de manejo de 3333 ha-1 árboles fue de 32,2 Mg ha-1 y 38,5 Mg ha-1 del clon puro e híbrido, respectivamente. En un contexto de falta de limitaciones, desde el punto de vista climático y condiciones de sitio, es posible asociar la productividad anual de biomasa a la densidad de plantación. En suelos poco fértiles, ambos clones registraron alta productividad en altas densidades de plantación. El impulso a la generación de energías renovables a partir de la biomasa forestal es una oportunidad para Corrientes, ya que cuenta con el recurso y las condiciones climáticas favorables, aunque es necesario continuar estudiando el desarrollo de estos sistemas en ambientes frágiles, identificando las prácticas de manejo que disminuyan su impacto y favorezcan un manejo sustentable.
Aerodynamics and Control of Next Generation Electric Rotorcraft
Authors: Hocking Graeme , Sweatman Winston , Maldon Benjamin , Boral Susam , Braun Philipp , Kurihara Hiroaki , Meylan Michael , Ruffer Bjorn , Thamwattana Natalie
Published: March 2022

Innovative design of helicopters promises great benefitsover conventional aircraft but there are a number oftechnical challenges. Hyper Q Aerospace brought a project tothe 2020 Mathematics-in-Industry Study Group to consider ahelicopter design with a counter-rotating, coaxial, doublerotor. Specific considerations were the vibration andharmonic properties of the rotor blades, the noise from theaircraft and the aerodynamic characteristics.Euler--Bernoulli beam theory and classical airfoil theorywere implemented to consider the vibration and aerodynamicfeatures of the aircraft and the rotor system. Thefundamental lengthwise and lateral harmonics of the bladeswere obtained and compared with typical rotational forcingfrequencies. The modification to the lift generated by thecounter-rotating blades and noise mitigation strategies werediscussed. Improved design strategies were presented.
Removal of heavy metals (Nickel and Molybdenum) from wastewater using low cost adsorbents (China clay and Fly ash)
Authors:   Associate Professor Chemistry. Sahu Jain college Najibabad, Distt-Bijnor 246763 (UP) (India), VISHWAKARMA P P
Published: March 2022

The present paper reveals that the potential of China clay and Fly ash were used as adsorbent for the removal of heavy metals such as Ni(II) and Mo(VI) from known concentration of waste water was investigated. Hence the study indicates that the low cost adsorbent of China clay is used for removing 90% and 69% of Ni(II) and Mo(VI) respectively. Fly ash used for removing 84% and 77.6% of Ni(II) and Mo(VI) from wastewater from the initial metal ion concentration of 4.26x105 M and 1.49x105M solution respectively. Batch adsorption studies demonstrated that the adsorbents had significant capacity to adsorb Ni(II) and Mo(VI) from aqueous solution. It was found that the adsorption increased with increase in contact time. Also, percentage adsorption depends on change in pH of N(II) and Mo(VI) solution.
Inquiry Teaching of Chinese Traditional Painting Based on Virtual Reality Technology—Take Han Xizai’s Banquet as An Example
Authors: Liu Pei
Published: March 2022

Due to its immersion, interactivity and other characteristics, virtual reality technology has been tentatively applied as an auxiliary tool in the field of education. It can change the previous education mode of one-way knowledge output to a certain extent and enhance the autonomy and personalization of teaching. The application of virtual reality technology in Chinese traditional painting teaching is not to bring Chinese painting into reality, but to bring students into the aesthetic thinking of Chinese painting. Through virtual simulation experiment teaching, students can better understand the beauty of Chinese painting. In the teaching method of traditional Chinese painting, the teaching idea of using virtual reality technology lies in the stimulation of individual characteristics based on commonness. With the support of virtual reality learning environment, teachers and students interact in the learning environment through virtual reality equipment and platform, which constitutes the process of teaching and learning. Students are naturally immersed in learning. Teachers use the immersion and scene characteristics of virtual reality technology to lead students into the cultural depth behind Chinese painting images, and use its interactive and imaginative characteristics to explore and try modeling, composition and techniques in observation methods and expression methods. Taking the famous Chinese painting “Han Xizai’s banquet picture” as an example, this paper carries out inquiry teaching combined with virtual reality technology to explore new ideas for the teaching method of Chinese traditional painting, in order to be helpful to the reform of Chinese painting teaching.