bluuebunny/crossref_metadata_2025 huggingface dataset:
Liberal Education, Entrepreneurship, and the Law
Authors: Scott Shelley
Published: January 2021

As our Calendar states, “Liberal Education has been a community tradition at the University of Lethbridge since its founding.” But as the institution has moved to incorporate professional faculties (such as Health Sciences and Management); grow its graduate program, particularly in the sciences; and build its research profile, the understanding of liberal education has devolved into a requirement that students take a “breadth” of courses and tends to be perceived as an onerous burden. All undergrads are expected to take four courses from three liberal education lists. This may be particularly resisted by Fine Arts students, who already have some of the most intensive major requirements of any students across the University, but who still balk at having to take courses outside their Faculty or even department because such courses are not seen as contributing to their “training.” I see this as a tension between conservatory expectations within a liberal education model.
Hearing Women’s Stories
Authors: Solga Kim
Published: January 2021

As I sit down to write this, it’s been exactly one year since the New York Times broke the story of decades of sexual assault allegations by Hollywood mogul Harvey Weinstein. I know, because I’ve been glued to the Times website, like many women in North America and around the world, waiting to hear if the Senate will vote to confirm Republican Supreme Court nominee Brett Kavanaugh. Kavanaugh gave an extraordinary performance of White male self-entitlement before the Senate judiciary committee convened to grill him about accusations of sexual misconduct; this came hot on the heels of Dr. Christine Blasey Ford’s historic own testimony, in which she detailed her painful memories of his assault on her, and patiently taught the assembled Senate panelists how human psychology works, and how trauma is retained in the brain.
Écouter les histoires des femmes
Authors: Solga Kim
Published: January 2021

Au moment où je m’installe pour vous adresser ces quelques lignes, une pleine année s’est écoulée depuis que le New York Times a révélé que des allégations d’agression sexuelle s’échelonnant sur plusieurs décennies avaient été portées contre Harvey Weinstein, grand magnat hollywoodien. Je sais exactement combien de temps s’est écoulé parce que comme bien des femmes en Amérique du Nord et ailleurs dans le monde, je suis collée au site du Times en attendant de savoir si le Sénat donnera le feu vert au candidat républicain Brett Kavanaugh pour rejoindre la Cour suprême. Kavanaugh a livré une interprétation magistrale du « Je suis un homme blanc et tout m’est dû » devant un comité judiciaire du Sénat qui s’était réuni pour l’interroger sur les accusations d’inconduite sexuelle portées contre lui ; sa performance est venue tout juste après le témoignage historique de Christine Blasey Ford lors duquel cette dernière a relaté le souvenir douloureux qu’elle a gardé de son agression aux mains de Kavanaugh pour ensuite expliquer patiemment le fonctionnement de la psychologie humaine et la façon dont le cerveau retient un traumatisme.
“That Felt Real to Me”: When Reality Theatre and Reality Television Collide
Authors: Mcleod Kimberley
Published: January 2021

In an episode of his satirical television show Nathan for You, comedian Nathan Fielder creates an original theatre production in order to exploit a legal loophole that allows smoking in bars if it is part of a performance. The project begins as a one-off invisible theatre performance but quickly morphs into an experiment in the possibilities and limits of theatre of the real when Fielder re-stages the initial event with actors so the production can be repeatable, and thus marketable as a consistent product. In the “Smokers Allowed” episode, Fielder’s comedic attempts to painstakingly recreate events highlight the inherent ridiculousness of reality-based performances.
“It’s About Becoming”: Indigenating Research Practice at the CDTPS
Authors: Carter Jill
Published: January 2021

When we are young, birthdays are a time of gratitude and celebration—gratitude for the gifts we have been given in our lives and for our lives themselves. As we age, we begin to season these rites of celebration with remembrance and reflection. And when we hit particular milestones, we (with our communities) are called upon to reflect—to take stock of the resonance of one life and its reverberations in the greater context of creation. In 2017, as Canada celebrated 150 years since Confederation, the Centre for Drama, Theatre, and Performance Studies (CDTPS) at the University of Toronto celebrated its own milestone and reflected upon fifty years of a life well lived. For both celebrants, this became a time to remember and celebrate great achievements and laudable moments. The months that follow these celebrations have afforded us time to acknowledge and own missteps and time to develop a plan of action for the coming years.
Amfiteatar u Puli
Authors: Krizmanić Attilio
Published: January 2021

O velariju i njegovu sustavu pisao sam 2016. godine. Tada sam tvrdio da su na pulskom Amfiteatru, na njegovoj četvrtoj etaži, očuvani jedinstveni detalji u kamenu koji omogućuju proučavanje konstrukcije rimskoga velarija kao ni na jednome drugom amfiteatru na svijetu. U sklopu velarija tada se konačno riješila konstrukcija zagonetne summae cavee in ligneis s pripadajućim palubama na četvrtoj etaži. Naglašen je najprije velarij jer je njegova osobita konstrukcija svojevrsna zaključnica Amfiteatra, koja ne završava samim isticanjem 84 drvena jarbola, i to u pravilu bez zatege (štraja), umjesto s isprepletenim konopima velarija duž kojih se sekcija razvlače i namještaju jedra u odnosu na momentalni položaj Sunca ili na smjer, intenzitet i učestalost kiše nošene vjetrom, ili pak smirena bonacom. Glavnih je nosača velarija ukupno bilo 84 jarbola (68: 30´30 cm i 16: 18´20 cm), a ne 72 kako se redovito navodi.
Arhitektonski opus Milana Zlokovića u Hrvatskoj između dva svjetska rata
Authors: Kadijević Aleksandar
Published: January 2021

U radu se analizira djelatnost znamenitoga jugoslavenskog arhitekta Milana Zlokovića (1898.-1965.) na prostoru Hrvatske u razdoblju između svjetskih ratova (1918.-1941.). Inspiriran mediteranstvom i modernizmom, ostavio je nekoliko natječajnih i nerealiziranih projekata, kao i dvije izvedbe u Orebiću, od kojih svi zaslužuju podrobniji historiografski osvrt. Dokumentacija koja svjedoči o Zlokovićevu radu, odnedavno dostupna u digitaliziranom obliku, pomoći će u valorizaciji njegova djela i u drugim dijelovima bivše Jugoslavije.
Mastite bovina: Revisão
Authors: Da Fonseca Maria Eduarda
Published: January 2021

Mastitis is inflammation of the mammary gland, which generates countless losses within a productive chain, reaching from the base, which is the health of the herd, generating a drop in production, even in the final quality of milk and its derivatives. The efficiency of an early diagnosis dictates success in the treatment of dairy cows, together with the preventive measures established within the properties. Several methods are used to detect mastitis, since this disease is considered the disease of greatest damage in dairy herds both in Brazil and worldwide, causing damage to animals and public health. Thinking about the standardization of milk quality, the Ministry of Agriculture, Livestock and Food Supply (MAPA) regulate standards that must be followed through consultations in the Regulation of Industrial and Sanitary Inspection of Products of Animal Origin (RIISPOA) and Normative Instructions, such as INs 76 and 77, mentioned in this work. The purpose of this literature review is to present the main causes of mastitis within the dairy properties, together with the main means of diagnosis, like the California Mastitis Test and infrared thermography, an innovative methodology, along with the most used tools for disease prevention. In addition to surveying updated data on the economic losses generated by the disease within the milk production chain.
Peningkatan Sifat Mekanis Permukaan Master Link Doozerr Komatsu Dengan IQT (Induction Quenching Tempering)
Authors: Gunawan Gian Oktaputra , Suastiyanti Dwita , Rupajati Pathya
Published: January 2021

Baja SMnB3H-1 merupakan baja paduan rendah yang banyak digunakan sebagai material komponen mesin seperti master link pada undercarriage yang pada penggunaannya banyak mengalami gesekan atau aus. Master Link adalah salah satu komponen undercarriage bulldozer berfungsi untuk menghubungkan dan memutuskan proses assembly dan diassembly pada track link undercarriage. Untuk meningkatkan ketahanan aus pada master link, diperlukan perlakuan pengerasan permukaan salah satunya yaitu Induction Quenching Tempering (IQT). IQT adalah proses pengerasan baja menggunakan induksi dan dilanjut dengan pendinginan cepat (quenching) menggunakan soluble/polymer. Dalam penelitian ini dilakukan proses IQT dengan variasi holding time 45 detik, 60 detik dan 75 detik pada suhu austenite (850°). Tujuan penelitian ini adalah untuk mengetahui pengaruh holding time IQT terhadap kekerasan dan kekerasan kedalaman (Case Depth). Hasil dari uji kekerasan dan pengukuran case depth didapat nilai tertinggi yaitu pada holding time 75 detik, untuk nilai kekerasan 58,5 HRC sedangkan case depth posisi H1, H2 dan T adalah 31,62 mm, 30,12 mm dan 19,8 mm.
ersonal qualities of a social worker in assistance to victims in emergency situation
Authors:   National University of Life and Environmental Scienсes of Ukraine, Drachuk O. V.
Published: January 2021

The article reveals the personal qualities of a social worker to provide assistance to victims in extreme situations. The factors influencing the formation are revealed; formation of certain professional and personal qualities of a social worker. The concept of "emergency" is generalized, the boundary between extreme situations and current life events is drawn, as well as the differentiation of extreme situations. Four successive phases (stages) in the dynamics of the state of victims of extreme factors are characterized. Factors that cause differentiation of post-traumatic stress disorders have been identified. Signs of maladaptation are highlighted; groups of people affected by the Chernobyl accident.
Elements of eristics in social communication
Authors:   National University of Life and Environmental Scienсes of Ukraine, Matviienko I. S.
Published: January 2021

The article is devoted to the consideration of the issue of communication and the use of elements of eristics in it, the methods that are used for successful argumentation, as the basis for interpersonal, group and mass dialogue of the modern world. Eristics, as a direction of research in the theory of argumentation, aimed at the use of successful arguments for successful communication. Consideration of the content and meaning of eristics helps to reveal its meaning in the system of modern interpersonal and intercultural communication.
The problem of reflection in German philosophy of the XVIII - XIX centuries
Authors:   National University of Life and Environmental Scienсes of Ukraine, Checal L. A.
Published: January 2021

This study focuses on a conceptual representation of the metaphysical and non-classical context of reflection in its subjective dichotomous understanding. The author successively reviews the specifics of reflection, as well as the features of methodology of cognition and self-knowledge in the context of determining the values and priorities of human development and consciousness. The article also includes an overview of the main categories of reflection through a breakdown of theoretical relationships and the most important conceptual discourses. The theoretical significance of the problem of cognition and self-knowledge is determined by the central role of man in society and history. The analysis shows that the methodology of cognition and self-knowledge should be based on the principles of axiological disengagement, a combination of logical and historical aspect, as well as on the coherence of theory and practice.
The Level of Social and Academic Adjustment among Syrian Refugee Students in Jordan and its Relation with Underachievement students
Authors: Imhammad Meqbel Al-Mseidin Kholoud
Published: January 2021

Research on the level of social and academic adjustment and the ties between both Syrian refugee students in Jordan is still insufficient due to the lack of research and interest among academics and researchers. This is happening even though the rise of refugees has impacted students from the Syrian Refugee Education Center SREC in Jordan in the last five years. Therefore, the current study examines the connection between social adjustment and academic adjustment among Syrian refugee students in SREC in Jordan. A total of 108 SREC-contained students from one school were studied. The results of the study showed that social adjustment is poor (52%) and academic adjustment is small (67 %). Furthermore, there is a statistically important negative association (-0.522) between the overall social adaptation and the total academic transition. In this report, the findings, shortcomings, and recommendations were also addressed.
BIOMARKERS OF OSTEO-DEFFICIENCY IN THE COURSE OF SECONDARY OSTEOPOROSIS IN PATIENTS WITH COMORBID CHRONIC PANCREATITIS AND ARTERIAL HYPERTENSION
Authors: Viun T.I. , Pasieshvili L.M. , Viun S.V. , Marchenko A.S. , Karaya O.V.
Published: January 2021

The prevalence of comorbidities has been growing for the last decades. Therefore, the detection of biomarkers for diagnostic and prognostic purposes is of great practical importance. The aim of this study was to assess the biomarkers of osteo-defficiency in the course of secondary osteoporosis in patients with comorbid chronic pancreatitis and arterial hypertension. We examined 110 patients with chronic pancreatitis: 70 of them had comorbid hypertension, and 40 patients were found as having no comorbidities. The age of patients ranged from 33.2 ± 2.1 (main group) and 32.9 ± 3.1 years (comparison group); women predominated (72.9% and 70%, respectively). The control group includes 78 healthy individuals of the same age and sex. Diagnostic investigation included studying clinical and anamnestic characteristics of patients (duration of the disease, manifestations of the course, frequency of recrudescence, fractures) and biochemical parameters of bone metabolism: osteocalcin, total bone phosphatase and tartrate-resistant acid phosphatase and the establishment of correlations between these parameters and incidence of complications. It was found that in the isolated course of chronic pancreatitis there is a high (R = 0.60) statistically significant (p <0.01) correlation between the levels of osteocalcin and pancreatic elastase-1. A negative statistically significant (p <0.01) mean correlation (R = -0.49) was found between the content of tartrate-resistant acid phosphatase and age of the patients having comorbidity of chronic pancreatitis and hypertension, as well as there is a moderate correlation between the content of tartrate-resistant acid phosphatase and the duration of hypertension, which is statistically significant (R = 0.36, p <0.01). The levels of total bone phosphatase and tartrate-resistant acid phosphatase in the main group exceeded the reference values in 2.5 and 1.9 times respectively (CMU; U = 866.0; p <0.01), while in the comparison group were 2 times (total bone phosphatase) and 1.3 times higher (tartrate-resistant acid phosphatase) times, respectively (CMU; U = 821.0; p <0.01) that enables to diagnose the development of osteopenic conditions. That is, the combined course of chronic pancreatitis and hypertension should be considered as unfavourable tandem in the development of secondary osteoporosis and requires early osteoporotic screening.
ASSESSMENT OF THERAPY EFFICACY BY SYNOVIAL ELASTOMETRY DATA IN PATIENTS WITH RHEUMATOID ARTHRITIS
Authors: Zhdan V.M. , Lebid V.G. , Ivanytckyi I.V. , Tkachenko M.V. , Ischeykina Yu.O.
Published: January 2021

Rheumatoid arthritis is a widespread disease in general population, which can progress to the permanent disability as in a short-time as in long-time periods. It was considered that estimated changes of the joints' morphology in patients suffering on rheumatoid arthritis may depend on the basic treatment received and, eventually, on the control over rheumatoid arthritis progression achieved. The aim of our work is to study the accuracy of using elastometry method in evaluating the severity of knee joints' synovitis in patients with rheumatoid arthritis and its dependence on received basic treatment and achieved control over rheumatoid arthritis progression. By using a correlation analysis, we found a close relationship between the stiffness of the synovial membrane of the knee joints and the level of C-reactive protein (r = 0.63, p = 0.022), as well as with the level of erythrocyte sedimentation rate (r = 0.66, p = 0.019) in all groups of patients at the time of inclusion to the study. This relationship was present even after 6 months of therapy (r = 0.61, p = 0.043) and (r = 0.59, p = 0.023), respectively. Performed correlation analysis also showed the dependence of the morning joints' stiffness severity with the synovial membrane stiffness indicators (r = 0.57, p = 0.018), with the severity of pain in the knee joints (calculated by using The Visual Analogue Scale) and with the severity of knee joint synovial membrane stiffness (r = 0.56, p = 0,024) at the time of inclusion. So, it was considered a presence of relationship between synovial stiffness and clinical manifestations of rheumatoid arthritis. This relationship was present even after 6 months of therapy (r = 0.57, p = 0.038) and (r = 0.63, p = 0.024), respectively. The obtained results clearly demonstrate the accuracy of evaluating the knee joints' synovial stiffness by using elastometric indicators in assessing the effectiveness of received basic treatment in patients with rheumatoid arthritis.
EFFECTIVENESS OF FIXED COMBINATION OF FORMULATIONS FOR COUGHING
Authors: Zhdan V. M. , Khaimenova Н. S. , Babanina M. Yu. , Kyrian O.A. , Ivanitskiy I. V.
Published: January 2021

There are many respiratory diseases, which despite the difference in aetiology, pathogenesis, the peculiarities in progression may have some common features, resulting in the localization of the pathological process in the respiratory systems. These common signs include changes in bronchial secretion that ultimately leads to mucostasis and burdens the course of any respiratory disease. There are very few combined formulations capable of impacting several mechanisms of mucostasis at once. One of them is Ascoril possessing a double effect of bronchodilator and expectorant. The aim of this study was to evaluate the clinical efficacy and safety of Ascoril therapy for patients with acute respiratory diseases. The study included 105 patients aged 25 ± 0.5 to 55 ± 1.6 years with mild or moderate acute respiratory disease, who had acute respiratory diseases with cough due to laryngitis, pharyngitis, tracheitis, bronchitis. Patients of the 1st group (75 patients, the main group) received the treatment with Ascoril, the patients of the 2nd group (30 patients, the comparison group) received Bromhexine. The patients in both groups were comparable by age and sex. The patients treated with Ascoril showed the disappearance of cough symptoms 3 – 4 days earlier than the patients in the comparison group (p < 0.05). The total score assessment of clinical symptoms during the treatment demonstrated the administration of Ascoril promoted the effectiveness of therapy, which was found significantly higher than in the 2nd group (p < 0.05). We can conclude Ascoril reduces the duration of the disease, cut down the need in antibiotics, lowers the manifestations of bronchial hyper reactivity, and promotes faster clinical recovery, the last but not the least, it is safe.
CLINICAL AND NEUROLOGICAL PECULIARITIES AND THE LEVEL OF AUTOANTIBODIES TO NEUROSPECIFIC ANTIGENS IN PATIENTS WITH CHRONIC HEMOBLASTOSIS
Authors: Piddubna O. O.
Published: January 2021

The purpose of this study was to determine the level of autoantibodies to neurospecific antigens and their relationship with clinical manifestations of the nervous system lesions in chronic hematological malignancies. Materials and methods. The study included 86 patients with chronic hemoblastosis divided into 3 groups: group 1 consisted of patients with chronic lymphoid leukaemia (n = 30), group 2 involved patients with chronic myeloid leukaemia (n = 30), group 3 included patients with multiple myeloma (n = 26). 21 inpatients of the neurological hospital without immunological and hematological disorders were selected as a control group. We investigated the anamnestic data on the presence of a clinical diagnosis of the nervous system lesions before and after the establishing a cancerous hematological diagnosis, carried out a complete neurological examination of the patients with chronic hematoblastosis to determine main neurological syndromes. The level of peripheral blood autoantibodies to neurospecific antigens was evaluated by the enzyme immunoassay. The level of circulating immune complexes was determined by the method of selective precipitation of antigen-antibody complexes. The findings of the study were statistically processes by using Microsoft Excel 2019 and IBM SPSS Statistics 26.0 software. The data obtained were processed by descriptive statistics methods. The study has demonstrated that encephalopathy (70%) and radiculopathy (40%) develop statistically significantly more often in the patients with chronic lymphoid leukaemia. The patients with chronic myeloid leukaemia are found to have encephalopathy (43%) and polyneuropathy (20%). The development of multiple myeloma is statistically significantly accompanied by the occurrence of radiculopathy (50%) and polyneuropathy (53%). Conclusion. The nervous system lesions are found considerably frequent in the patients with chronic hematological malignancies. The development of secondary encephalopathy in the patients with chronic lymphoid leukaemia may develop as a consequence of paraneoplastic syndrome due to the excessive production of cytokines and plasminogen activators. The predominance of radiculopathy in chronic myeloid leukaemia can be reliably explained by the high severity of the proliferative syndrome with a tendency to the production of localized chlorine, which can compress the corresponding roots of the peripheral nerves. However, peripheral lesions of nervous system are more typical for patients with multiple myeloma that may be due to hyperparaproteinemia combined with the chemotherapy of the underlying disease. Along with this, chronic lymphoid leukaemia and chronic myeloid leukaemia cause an increase in the circulating immune complexes level. Immunological changes indicate significant damage to nerve fibres and considerably rapid destruction of neurons in all forms of chronic hemoblastosis.
Psychiatric Morbidities in Patients with Non-communicable Diseases among Inpatients of Medicine Department in a Tertiary Care Hospital: A Descriptive Cross-sectional Study
Authors: Sharma Kalpana , Dhungana Govinda , Adhikari Shailendra , Pandey Archana Bista , Sharma Muna
Published: January 2021

Introduction: Psychiatric morbidities are common among patients with chronic non-communicable diseases. These diseases have high morbidity, mortality, and higher health costs. However, psychiatric conditions are often underdiagnosed and undertreated in our country. This study aimed to find out the psychiatric morbidities among patients with non-communicable diseases admitted in inpatients units of the medicine department.

Methods: A descriptive cross-sectional study was conducted in the inpatients of the medicine department of a tertiary care hospital among 926 patients with chronic non-communicable diseases. Ethical approval was obtained from the Chitwan Medical College Institutional Review Committee (Ref. No. CMC-IRC: 2074/75: 38). A convenient sampling technique was used. Patients were interviewed using the Patients Health Questionnaire. Data analysis was performed using Statistical Package for Social Sciences version 16.

Results: Among 926 non-communicable disease patients, psychiatric morbidities observed were somatization 612 (66.1%) anxiety 319 (34.4%), and depression 379 (40.9%). Patients with multiple non-communicable diseases had higher psychiatric morbidities compared to patients with a single disease.

Conclusions: Psychiatric morbidities are common among admitted patients suffering from non-communicable diseases in Nepal. Hence, regular screening services are needed in all levels of health care centers to identify and treat the risk groups on time.
General decay results for a viscoelastic wave equation with a variable exponent nonlinearity
Authors: Hassan Jamilu Hashim , Messaoudi Salim A.
Published: January 2021

In this paper we consider a viscoelastic wave equation with a very general relaxation function and nonlinear frictional damping of variable-exponent type. We give explicit and general decay results for the energy of the system depending on the decay rate of the relaxation function and the nature of the variable-exponent nonlinearity. Our results extend the existing results in the literature to the case of nonlinear frictional damping of variable-exponent type.
Metal-induced oxidative stress level in patients with fibromyalgia syndrome and its contribution to the severity of the disease: A correlational study
Authors: Shukla Varsha , Das Siddharth Kumar , Mahdi Abbas Ali , Agarwal Shweta , Alok Ragini , Ansari Jamal Akhtar , Khandpur Sukhanshi
Published: January 2021

BACKGROUND: Fibromyalgia syndrome (FMS) is an extra-articular rheumatological disease characterised by widespread chronic musculoskeletal pain. Metal-induced oxidative stress contributes to the severity of FMS. AIMS: First, this study evaluated the association between plasma levels of toxic heavy metals and essential metals with oxidative stress (OS) markers. Second, the OS markers and metal contents were correlated with the disease severity by assessing the Fibromyalgia Impact Questioner Revised (FIQR) and tender points (TP). METHOD: A total of 105 FMS patients and 105 healthy controls of similar age and sex were recruited. OS parameter such as lipid peroxidation (LPO), protein carbonyl group (PCG), nitric oxide (NO) and essential metals such as zinc (Zn), magnesium (Mg), manganese (Mn), copper (Cu) and toxic heavy metals such as aluminium (Al), arsenic (As), lead (Pb) were estimated. RESULTS: Levels of LPO, PCG, NO (p< 0.001) and Cu, Mn, and Al (p< 0.001), were significantly higher, and Mg (p< 0.001) and Zn (p< 0.001) were significantly lower in patients compared to controls. A positive association was observed between OS parameters, FIQR and TP with Cu, Al and Mn. A significant negative association was observed between Zn and Mg with FIQR, TP and OS parameters. CONCLUSION: Heavy metals such as Al induce OS parameters and decrease the levels of essential trace elements such as Mg and Zn, which may be responsible for the severity of FMS.
Modeling the Software Prototyping Process in a Research Context
Authors: Saari Mika , Soini Jari , Grönman Jere , Rantanen Petri , Mäkinen Timo , Sillberg Pekka
Published: January 2021

The paper examines the Third Mission of universities from the point of view of company collaboration in the prototype development process. The paper presents an implementation of university-enterprise collaboration in prototype development described by means of process modeling notation. In this article, the focus is on modeling the software prototyping process in a research context. This research paper introduces prototype development in a university environment. The prototypes are made in collaboration with companies, which offered real-world use cases. The prototype development process is introduced by a modeling procedure with four example prototype cases. The research method used is an eight-step process modeling approach. The goal was to find instances of activity, artifact, resource, and role. The results of modeling are presented using textual and graphical notation. This paper describes the data elicitation, where the process knowledge is collected using stickers-on-the-wall technique, and the creation of the model is described. Finally, the shortcomings found in our existing practices and possibilities for improving our prototype development processes and practices are discussed.
Operator- and user-based rebalancing strategy for bike-sharing systems
Authors: You Peng-Sheng , Hsieh Yi-Chih
Published: January 2021

Leveraging their networks, bike rental companies usually provide customers with services for renting and returning bikes at different bike stations. Over time, however, rental networks may encounter problems with unbalanced bike stocks. The potential imbalance between supply and demand at bike stations may result in lost sales for stations with relatively high demand and underutilization for stations with relatively low demand. This paper proposed a constrained mixed-integer programming model that uses operator-based redistribution and user-based price approach to rebalance bikes across bike stations. This paper aims to maximize total profit over a planning horizon by determining operator-based bike transfers and dynamic pricing. The proposed model is a non-deterministic polynomial-time problem, and thus, a heuristic was developed based on linear programming and evolutionary computation to perform model solving. Numerical experiments reveal that the proposed method performed better than Lingo, a well-known commercial software. Sensitivity analyses were also performed to investigate the impact of changes in system parameters on computational results.
Using NSGA-II to solve multi-objective competitive location problem with cooperative coverage for distance-based attractiveness
Authors: Wang Sheng-Chuan , Chen Ta-Cheng
Published: January 2021

Multi-objective competitive location problem with cooperative coverage for distance-based attractiveness is introduced in this paper. The potential facilities compete to be selected to serve all demand points which are determined by maximizing total collective attractiveness of all demand points from assigned facilities and minimizing the fixed and distance costs between all demand points and selected facilities. Facility attractiveness is represented as a coverage of the facility with full, partial and none coverage corresponding to maximum full and partial coverage radii. Cooperative coverage, which the demand point is covered by at least one facility, is also considered. The problem is formulated as a multi-objective optimization model and solution procedure based on elitist non-dominated sorting genetic algorithms (NSGA-II) is developed. Experimental example demonstrates the best non-dominated solution sets obtained by developed solution procedure. Contributions of this paper include introducing competitive location problem with facility attractiveness as a distance-based coverage of the facility, re-categorizing facility coverage classification and developing solution procedure base upon NSGA-II.
Sentence similarity evaluation using Sent2Vec and siamese neural network with parallel structure
Authors: Heo Tak-Sung , Kim Jong-Dae , Park Chan-Young , Kim Yu-Seop
Published: January 2021

Sentence similarity evaluation is a significant task used in machine translation, classification, and information extraction in the field of natural language processing. When two sentences are given, an accurate judgment should be made whether the meaning of the sentences is equivalent even if the words and contexts of the sentences are different. To this end, existing studies have measured the similarity of sentences by focusing on the analysis of words, morphemes, and letters. To measure sentence similarity, this study uses Sent2Vec, a sentence embedding, as well as morpheme word embedding. Vectors representing words are input to the 1-dimension convolutional neural network (1D-CNN) with various sizes of kernels and bidirectional long short-term memory (Bi-LSTM). Self-attention is applied to the features transformed through Bi-LSTM. Subsequently, vectors undergoing 1D-CNN and self-attention are converted through global max pooling and global average pooling to extract specific values, respectively. The vectors generated through the above process are concatenated to the vector generated through Sent2Vec and are represented as a single vector. The vector is input to softmax layer, and finally, the similarity between the two sentences is determined. The proposed model can improve the accuracy by up to 5.42% point compared with the conventional sentence similarity estimation models.
Hand gesture intention-based identity recognition using various recognition strategies incorporated with VGG convolution neural network-extracted deep learning features
Authors: Ding Ing-Jr , Zheng Nai-Wei , Hsieh Meng-Chuan
Published: January 2021

With fast developments of artificial intelligence, human behaviors can be further acknowledged by means of the biometric information of hand gesture actions made by the person. Such hand gesture information revealing the specific intention of the person will be undoubtedly a critical clue to cognize human behaviors. Furthermore, identity recognition of the hand gesture-making person is one of the most important technique issues in hand gesture recognition applications. This work explores hand gesture intention-based identity recognition where various deep learning recognition strategies are presented. The well-know image sensor of Leap Motion Controller (LMC) is employed in this work for acquisitions of active hand gesture data. This paper presents four different deep learning strategies for hand gesture intention-based identity recognition, all of which are based on the deep learning model of the visual geometry group (VGG)-type convolution neural network (CNN). The presented deep learning strategies to perform hand gesture intention-based identity recognition are typical VGG-16 CNN deep learning, dynamic time warping (DTW) classifications with VGG-16 CNN extracted deep learning features, DTW classifications by VGG-16 CNN extracted deep learning features with principal component analysis (PCA) data reduction, and PCA centroid classifications using VGG-16 CNN extracted deep learning features with PCA. Compared with traditional hand gesture recognition by classifications of only the geometrical space feature of LMC 3D-(x, y, z) data without any deep learning, most of presented VGG-CNN based deep learning approaches have more outstanding performances on recognition accuracy. In the situation of real-time recognition that considers both of recognition accuracy and computation time, PCA centroid classifications by VGG-16 CNN extracted deep learning features with PCA reduction, FC1-PCA and FC2-PCA features that are estimated from the first and the second fully connected (FC) layer of VGG-CNN respectively (i.e. FC1 and FC2 layers) and then significantly reduced the data dimension by PCA, apparently performs best among all presented deep learning strategies.
Design and implementation of underwater search for salvage robot power system
Authors: Qian Junbing , Xu Zhongru , Luo Yongyou , Pan Nan , Liu Yi
Published: January 2021

Most of the underwater salvage operations work in shallow waters. The underwater environment is complex and varied. There are many risks and unpredictable conditions such as turbulence, eddies, wind, waves and deep water pressure. The motion and control cause serious interference, and the flexibility of automatic stabilization and multi-dimensional motion under external disturbances is increasingly becoming a key element in the design process of underwater robots. In this paper, the structure, driving and control design of an underwater dynamic search and underwater robot based on 6-DOF driving is proposed, and its dynamics and control system are analyzed. Different from the traditional underwater robot technology, the method proposed in this paper is more suitable for shallow water area and multi DOF driving control technology. The driving structure and electronic device of the robot are introduced. Several experiments were carried out in the controlled environment. The experimental results demonstrate the correctness and effectiveness of the design and analysis.
A weighted power distribution mechanism under fuzzy behavior systems
Authors: Liao Yu-Hsien
Published: January 2021

In real situations, players might represent administrative areas of different scales; players might have different activity abilities. Thus, we propose an extension of the Banzhaf-Owen index in the framework of fuzzy transferable-utility games by considering supreme-utilities and weights simultaneously, which we name the weighted fuzzy Banzhaf-Owen index. Here we adopt three existing notions from traditional game theory and reinterpret them in the framework of fuzzy transferable-utility games. The first one is that this weighted index could be represented as an alternative formulation in terms of excess functions. The second is that, based on an reduced game and related consistency, we offer an axiomatic result to present the rationality of this weighted index. Finally, we introduce two dynamic processes to illustrate that this weighted index could be reached by players who start from an arbitrary efficient payoff vector and make successive adjustments.
Mixed aggregation functions for outliers detection
Authors: Zhang Hengshan , Chen Chunru , Chen Tianhua , Wang Zhongmin , Chen Yanping
Published: January 2021

A scenario that often encounters in the event of aggregating options of different experts for the acquisition of a robust overall consensus is the possible existence of extremely large or small values termed as outliers in this paper, which easily lead to counter-intuitive results in decision aggregation. This paper attempts to devise a novel approach to tackle the consensus outliers especially for non-uniform data, filling the gap in the existing literature. In particular, the concentrate region for a set of non-uniform data is first computed with the proposed searching algorithm such that the domain of aggregation function is partitioned into sub-regions. The aggregation will then operate adaptively with respect to the corresponding sub-regions previously partitioned. Finally, the overall aggregation is operated with a proposed novel consensus measure. To demonstrate the working and efficacy of the proposed approach, several illustrative examples are given in comparison to a number of alternative aggregation functions, with the results achieved being more intuitive and of higher consensus.
Whale optimization algorithm based on lateral inhibition for image matching and vision-guided AUV docking
Authors: Yan Zheping , Zhang Jinzhong , Tang Jialing
Published: January 2021

The accuracy and stability of relative pose estimation of an autonomous underwater vehicle (AUV) and a target depend on whether the characteristics of the underwater image can be accurately and quickly extracted. In this paper, a whale optimization algorithm (WOA) based on lateral inhibition (LI) is proposed to solve the image matching and vision-guided AUV docking problem. The proposed method is named the LI-WOA. The WOA is motivated by the behavior of humpback whales, and it mainly imitates encircling prey, bubble-net attacking and searching for prey to obtain the globally optimal solution in the search space. The WOA not only balances exploration and exploitation but also has a faster convergence speed, higher calculation accuracy and stronger robustness than other approaches. The lateral inhibition mechanism can effectively perform image enhancement and image edge extraction to improve the accuracy and stability of image matching. The LI-WOA combines the optimization efficiency of the WOA and the matching accuracy of the LI mechanism to improve convergence accuracy and the correct matching rate. To verify its effectiveness and feasibility, the WOA is compared with other algorithms by maximizing the similarity between the original image and the template image. The experimental results show that the LI-WOA has a better average value, a higher correct rate, less execution time and stronger robustness than other algorithms. The LI-WOA is an effective and stable method for solving the image matching and vision-guided AUV docking problem.
On the zagreb connection indices of hex and honeycomb networks
Authors: Raza Zahid , Bataineh Mohammad Saleh , Sukaiti Mark Essa
Published: January 2021

Regular plane tessellations can easily be constructed by repeating regular polygons. This design is of extreme importance for direct interconnection networks as it yields high overall performance. The honeycomb and the hexagonal networks are two such popular mesh-derived parallel networks. The first and second Zagreb indices are among the most studied topological indices. We now consider analogous graph invariants, based on the second degrees of vertices, called Zagreb connection indices. The main objective of this paper is to compute these connection indices for the Hex, Hex derived and some honeycomb networks.
An intelligent flow-based and signature-based IDS for SDNs using ensemble feature selection and a multi-layer machine learning-based classifier
Authors: Muthamil Sudar K. , Deepalakshmi P.
Published: January 2021

Software-defined networking is a new paradigm that overcomes problems associated with traditional network architecture by separating the control logic from data plane devices. It also enhances performance by providing a highly-programmable interface that adapts to dynamic changes in network policies. As software-defined networking controllers are prone to single-point failures, providing security is one of the biggest challenges in this framework. This paper intends to provide an intrusion detection mechanism in both the control plane and data plane to secure the controller and forwarding devices respectively. In the control plane, we imposed a flow-based intrusion detection system that inspects every new incoming flow towards the controller. In the data plane, we assigned a signature-based intrusion detection system to inspect traffic between Open Flow switches using port mirroring to analyse and detect malicious activity. Our flow-based system works with the help of trained, multi-layer machine learning-based classifier, while our signature-based system works with rule-based classifiers using the Snort intrusion detection system. The ensemble feature selection technique we adopted in the flow-based system helps to identify the prominent features and hasten the classification process. Our proposed work ensures a high level of security in the Software-defined networking environment by working simultaneously in both control plane and data plane.
Enhanced hotel recommendation method addressing the deviation between overall rating and detailed criteria ratings on Tripadvisor.com
Authors: Zhong Leiguang , Luo Yiyue , Zhang Xin , Zhang Hongyu , Wang Jianqiang
Published: January 2021

User rating information on multiple predefined aspects gathered by hotel recommendation systems generally shows a deviation between the overall rating and detailed criteria ratings. In this study, to address this deviation, we proposed a novel hotel recommendation method that clusters users with different preferences into different groups using the K-means algorithm. Moreover, we allocated weights to different criteria and obtained a comprehensive score. A case study on actual data from Tripadvisor.com showed that compared with three other models, our proposed model demonstrated a more impressive performance. This research can offer advantages to hotel service providers and customers in terms of decision making.
Analysis of influence factors in communication and collaboration between controllers and commanders
Authors: Meng Lv , Shaohong Feng
Published: January 2021

To cope with the smooth implementation of apron control transfer at Chinese airports, two new departments were established, namely apron tower and airport operation command center. Therefore, based on interview texts of controllers and commanders of these two departments, this paper uses text mining and Decision-making Trial and Evaluation Laboratory-Interpretative Structural Modeling Method methods to determine key influence factors and factor hierarchy that affect communication and collaboration in their daily work. The results show that for controllers, key influence factors are mainly personnel development and professional abilities. These factors are located at the bottom of the factor hierarchy and are the basis for ensuring smooth communication and collaboration. For commanders, key influence factors are mainly personnel professional abilities and flight status. These factors are at the top of the factor hierarchy and are focus points that affect communication and collaboration. Hence, the case analysis results show the application potential of these three methods in the field of civil aviation. The combined use of these three methods can enable airport managers to clearly understand the degree of influence between factors.
A microbial kinetic optimization approach
Authors: Ding Xiong , Lu Yan
Published: January 2021

In order to solve some optimization problems with many local optimal solutions, a microbial dynamic optimization (MDO) algorithm is proposed by the kinetic theory of hybrid food chain microorganism cultivation with time delay. In this algorithm, it is assumed that multiple microbial populations are cultivated in a culture system. The growth of microbial populations is not only affected by the flow of culture fluid injected into the culture system, the concentration of nutrients and harmful substances, but also by the interaction between the populations. The influence of culture medium which is injected regularly will suddenly increase the concentration of nutrients and toxic substances, it will suddenly increase the impact on the population. These characteristics are used to construct absorption operators, grabbing operators, hybrid operators, and toxin operators; the global optimal solution of the optimization problem can be quickly solved by these operators and the population growth changes. The simulation experiment results show that the MDO algorithm has certain advantages for solving optimization problems with higher dimensions.
Pengukuran Geometri Benda Tipis (Sudu/Blade) dengan 3D Laser Scanner berdasarkan Referensi Vektor dan Pemakaian Benda Pembanding
Authors: Sahid Mas
Published: January 2021

3D laser scanner merupakan alat ukur yang digunakan untuk mengambil data objek geometrik 3D secara cepat dan “akurat” dengan metode pengukuran non-kontak. Dalam pengambilan data, akan diperoleh data kumpulan titik (point clouds) yang selanjutnya diolah menjadi bentuk khas sebagai model permukaan (surface) maupun padat (solid) yang selanjutnya dapat digunakan untuk berbagai keperluan seperti: analisis geometrik, manufaktur, maupun inspeksi. Sebelum surface maupun solid model terbentuk, diperlukan pemrosesan data kumpulan titik yang telah diambil dengan cara penyatuan (fitting) dan proses editing mesh lainnya. Bagi objek dengan bentuk yang tipis seperti: sudu/blade proses fitting menjadi tidak mudah, karena adanya bentuk kurva yang terbuka antara kurva objek bagian depan dan belakang sudu ketika dilakukan penggabungan data. Proses fitting biasanya membutuhkan referensi minimal tiga buah titik. Pada penelitian ini fungsi referensi titik tersebut digantikan dengan referensi berupa sumbu/vektor. Referensi sumbu/vektor ini diperoleh dengan meletakkan benda berbentuk tabung di sekeliling objek yang akan dilakukan scanning. Selain objek tabung juga digunakan objek lain sebagai perbandingan dalam hal kemudahan proses pengukurannya. Hasil pengubahan referensi ini memperlihatkan nilai rata-rata persentase penyimpangan berdasarkan referensi sumbu adalah 0,935%, sedangkan rata-rata persentase penyimpangan dengan referensi ‘pick point’ yaitu adalah 8,77%. Jadi, pengubahan acuan referensi penggabungan data kumpulan titik (point clouds) dari tiga titik menjadi vektor akan menaikkan akurasi (ketelitian/kebenaran) proses pengukuran dengan 3D laser scanner.