bluuebunny/crossref_metadata_2025 huggingface dataset:
“Let Us Create a Modern Lithuania!” Confrontations of National Identity with Modernity in the Lithuanian Music Modernisation Discourse of the 1930s
Authors: Stanevičiūtė Rūta
Published: February 2022

The project of modernisation, which emerged as the central idea in the course of 20th-century Lithuanian music, predetermined many creative orientations and discoveries by Lithuanian composers of various generations, as well as critical reflection on their works. At the root of Lithuanian projections of musical modernism lies a central concern with questions of national identity, affected by crucial historical changes and political processes. In this paper, I explore issues of relationship between construction of national identity and the modernity, focusing in particular on public discussions concerning national and modern elements in music, which appeared in the musical press of the 1930s and became emblematic of subsequent Lithuanian music history. Among the most active participants of the debates were young composers and musicians who had set up the Society of Progressive Musicians in 1932 and the iscM Lithuanian Section in 1936: Vytautas Bacevičius, Jeronimas Kačinskas, and Vladas Jakubėnas. Their opinions marked a significant turning point in the national music discourse, updating and expanding the understanding and use of the concepts of modern and national music in Lithuania. The interwar polemical observations, insights and statements were effectively elaborated in later reception and served as basis for a reinterpretation and revision of the Lithuanian music modernisation discourse.
Where Is My Home? The Czech National Anthem: its Problems, Controversies, and Strengths
Authors: Velek Viktor
Published: February 2022

There are many countries in which the national anthem has its permanent place not open to discussions. With the Czech national anthem Where Is My Home?, however, the case is precisely the opposite. It first appeared under this title in a theatrical farce in 1834 and soon became popular across the nation. In the second half of the nineteenth century, it went through a phase of politicisation (various textual paraphrases, performances at demonstrations as an anti-Habsburg symbol, a resulting ban on singing the piece) as well as one of criticism (in which it was pointed out that the lyrics were outdated and archaic). It was at that time that proposals for the creation of a new “national anthem” were made, while the Catholic circles considered the mediaeval sacred song Saint Wenceslas, which had had a representative function in the state from time immemorial, as a potential candidate. Late in 1918, the entire song Where Is My Home? “automatically” became the first of the two parts of the Czechoslovak national anthem, but critical voices could still be heard and alternative proposals were made. The debate was revived after the fall of Communism, and even now there are efforts to “modernise” the official music version. The present paper is an attempt to discover the causes of the controversy around the anthem Where Is My Home?. This will be done by focusing on its genesis (inspirations), analysing its content and psychological dimension, considering the critics’ reservations, competition, etc. An interpretation will also be attempted as to why Where Is My Home? has withstood all the attacks and remained the national and state anthem.
Association of C5a/C5aR pathway to activate ERK1/2 and p38 MAPK in acute kidney injury – a mouse model
Authors: Zhang Zeying
Published: February 2022

Acute inflammation is accompanied by complement system activation and inflammatory cell accumulation. Acute kidney injury (AKI) is one of the common clinical symptoms, it is not clear whether complement system-mediated signaling pathway is involved. This study demonstrated that the expressions of complement C5a and C5a receptor (C5aR) protein in a mouse model with glycerol induced AKI were significantly increased, and the expression of inflammatory cytokines, such as IL-1β, IL-6 and TNF-α, were significantly higher than those in the blank control group. While C5aR antagonist (C5aRa) was added, western analyses for C5a and C5aR were reduced, meanwhile, qPCR and ELISA data showed that inflammatory cytokines also decreased significantly. In addition, preliminarily explored, the Mitogen-activated protein kinases (MAPKs) can be activated by the C5a/C5aR pathway in an AKI mouse model which showed that the C5a/C5aR pathway in a mouse model group activated ERK1/2 and p38, and the protein expression decreased when C5aRa was added. In conclusion, these results indicate that the C5a/C5aR pathway promotes renal pathogenesis by activating ERK1/2 and p38 expression and then affects the disease process, which has certain guiding significance for the subsequent clinical trial.
Effects of lactoferrin on osteogenic differentiation and related gene expressions of osteoblast precursor cells MC3T3-E1 under mechanical strain
Authors: Sun Jianfeng , Zhu Xiaomeng , Ge Mengke , Zhou Chenchen , Li Yuyu
Published: February 2022

We aimed to evaluate the effects of lactoferrin (LF) on the osteogenic differentiation and related gene expressions of mouse embryonic osteoblast precursor cells MC3T3-E1 under mechanical strain. MC3T3-E1 cells were randomly divided into control, strain loading, LF and strain loading + LF groups. Alkaline phosphatase (ALP) activity was measured. Cytoskeletal morphology was measured by rhodamine-phalloidin staining. Formation of mineralized nodules was observed by alizarin red staining. The expressions of differentiation-related genes type I collagen (COL-1), interleukin-6 (IL-6) and osteocalcin (OCN) were determined by RT-PCR, and those of p-Runx2 and p-ERK1/2 proteins were detected by Western blotting. The number of ALP positive cells and expressions of OCN, COL-1 and IL-6 were significantly elevated (P<0.05). The optical density of strain loading + LF group was higher than those in strain loading and LF groups after incubation for 4 and 7 days (P<0.05). The cell volume and extension range were elevated in strain loading + LF group compared with those in strain loading group. The amount of mineralized nodules in strain loading + LF group was significantly higher than those in strain loading and LF groups, while it was slightly higher in LF group than that in strain loading group. The expressions of p-ERK1/2 and p-Runx2 in strain loading + LF group exceeded those in strain loading and LF groups (P<0.05). The synergistic action of LF and mechanical strain can effectively promote the proliferation, differentiation and mineralization of osteoblasts, probably being associated with the ERK1/2 signaling pathway.
Values of PCT and STREM-1 combined with clinical pulmonary infection score for the prognostic evaluation of elderly patients with ventilator-associated pneumonia
Authors: Wang Jianjun , Zhu Xiaoyan , Wang Xiaoling , Li Xi
Published: February 2022

Objective: To explore the values of PCT and STREM-1 combined with clinical pulmonary infection score (CPIS) for evaluating ventilator-associated pneumonia (VAP) in elderly patients.

Methods: A total of 120 eligible patients were selected as VAP group, and 60 other patients without VAP were selected as control group. According to APACHE II scores, VAP group was divided into low-, medium-, and high-risk groups. The correlations of PCT, STREM-1, and CPIS with APACHE II score were analyzed. The values of PCT and STREM-1 combined with CPIS for evaluating prognosis were analyzed using ROC curves.

Results: In the VAP group, serum PCT and STREM-1 levels and CPIS after mechanical ventilation significantly exceeded those of the control group and before mechanical ventilation (P<0.05). These values were higher in the high-risk group than in medium- and low-risk groups (P<0.05). They were positively correlated with APACHE II score (P<0.001). These values of the death group were significantly higher than those of the survival group 1, 3, 5, and 7 d after treatment (P<0.05). AUC of PCT and STREM-1 combined with CPIS for assessing prognosis was 0.892 (P<0.001).

Conclusions: Serum PCT and STREM-1 levels and CPIS significantly increase in elderly patients with VAP, which rise with aggravation. Their combination has higher values for prognostic evaluation.
Expression of tight junction transmembrane protein Claudin-1 in gastric carcinoma and effects on tumor cell proliferation, invasion and migration
Authors: Lv Jun , She Zhuocui , Cai Ang
Published: February 2022

Background: Claudin-1 is involved in various cancers, but its expression and role in gastric carcinoma remain unclear.

Materials and Methods: Gastric carcinoma and adjacent normal tissues were harvested from 60 patients. Claudin-1 expression was detected by RT-qPCR. The expressions in human gastric carcinoma MKN45, SGC7901 and MKN28 cells and immortalized human gastric epithelium GES-1 cells were determined by RT-qPCR and Western blotting. Claudin-1 was overexpressed in SGC7901 cells by lentiviral transfection, and they were divided into Control (untransfected), normal control (NC) (transfected with lentiviral vector) and Claudin-1 (transfected with Claudin-1 overexpression lentivirus) groups. The proliferation, invasion and migration of gastric carcinoma cells were detected through cell counting kit-8, Transwell and wound healing assays, respectively. The effects of Claudin-1 on the expressions of epithelial-mesenchymal transition (EMT) marker proteins E-cadherin and N-cadherin were detected by Western blotting. Ten 4-week-old male BALB/c nude mice were subcutaneously injected with lentivirus-treated SGC7901 cells to establish the transplanted tumor model, and the effect of overexpression of Claudin-1 was explored.

Results: The expression of Claudin-1 in gastric carcinoma tissues was significantly lower than that in adjacent tissues (P<0.05). Overexpression of Claudin-1 significantly inhibited the proliferation, invasion and migration of SGC7901 cells, increased the expression of E-cadherin, and decreased that of N-cadherin (P<0.05). Overexpression of Claudin-1 in the mouse model significantly inhibited the growth of subcutaneous transplanted tumors (P<0.05).

Conclusion: Claudin-1 has low expression in gastric carcinoma tissues. Overexpression of Claudin-1 inhibits the proliferation, invasion, migration, and EMT of gastric carcinoma cells, and subcutaneous tumorigenesis in nude mice.
The Influence of Inflammation in Posterior Capsule Opacification Development
Authors: Todorovic Dusan , Vulovic Tatjana Sarenac , Petrovic Nenad , Resan Mirko , Sreckovic Suncica
Published: February 2022

Cataract represents the reduction of the transparency of the crystalline lens. Cataract surgery is the most commonly performed surgical procedure worldwide. One of the most common postoperative complication of successfully performed cataract surgery is a development of posterior capsule opacification (PCO). In the postoperative period, lens epithelial cells (LECs) undergo proliferation, migration and differentiation, which is clinically manifested by the development of PCO. Inflammation has a central role in these processes. Cytokines, such as transforming growth factor β, fibroblast growth factor, interleukin 1, interleukin 6, matrix metalloproteinases have a huge effect on the activity of LECs. Understanding these processes can find a great usage in clinical practice. By prescribing anti-inflammatory therapy in the early postoperative period, the incidence of PCO can be significantly reduced.
Performance Evaluation of the Fruit and Vegetable Subsectors in the Azerbaijani Economy: a Combinatorial Analysis Using Regression and Principal Component Analysis
Authors: Niftiyev Ibrahim
Published: February 2022

Azerbaijan has an oil-led economy, which according to the well-known resource curse and Dutch disease hypotheses decreases the role of non-oil tradable sectors. Nevertheless, the government has actively fostered the growth of non-oil tradable sectors as the export orientation of Azerbaijan is being leveraged by the recently adopted economic policies. However, performance evaluations at the subsectoral level remain rare. The present paper evaluates the performance of the fruit and vegetable subsectors in Azerbaijan from 1995 to 2020 based on multiple key indicators, such as production, profitability, and productivity via principle component analysis (PCA). The purpose of the study was to provide a comparison of two key subsectors in Azerbaijan that are strong candidates for non-oil tradable exports. The results revealed that the vegetable subsector outperformed the fruit subsector in terms of production and profitability from 1999 to 2014; however, it experienced a sharp decline from 2014 to 2015 (the period of the rapid commodity price downturns), which gives rise to the question of whether the extractive industry negatively affected the subsector. Compared to the vegetable subsector, production and profitability in the fruit subsector demonstrated a more stable upward trend. In addition, labor input in both sub-sectors decreased over time, indicating efficiency gains via new technology transfers and productivity enhancements. Ordinary Least Squares (OLS) results demonstrated a strong and statistically significant negative relationship between the performance of the vegetable subsector with the oil revenue boom period (2008–2015).
Are People Willing to Voluntarily Contribute to Public Goods? The Results from the Behavioral Game Experiment.
Authors: Sirakovová Eva , Čaplánová Anetta
Published: February 2022

In the paper, we discuss the possibilities of alternative provision of public goods using the individual voluntary contributions. We use the data from the behavioral public goods game based on the model of voluntary contribution mechanism. We examine how people’s decisions about voluntary contributions to public goods change when the environment changes. The participants of the game were divided into small (5 persons) and large (10 persons) groups. During the game participants were asked to invest experimental money to different types of accounts, i.e. private account, Group account 1 and Group account 2. Using the game, we also examine the impact of a provision point on voluntary contributions. Based on the analysis of the data from this behavioral game, we found that the provision point is effective only if the participants are members of a small group. When the participants were members of both a small group and of a large group the provision point was not effective. When the income of participants was considered, we found that participants with higher experimental income were less willing to voluntarily contribute to financing of a public good.
Work-Study-Life Balance – the Concept, its Dyads, Socio-Demographic Predictors and Emotional Consequences
Authors: Vokić Nina Pološki , Bilušić Milka Rimac , Perić Iva
Published: February 2022

The concept of working students meeting triple demands of their work, studies and private life has not been sufficiently described or empirically supported in the literature, although combining work and study is not only a necessity for many students, but a common phenomenon among them. As well, studies so far focused on the dyads of work-nonwork relationship, predominantly on the work-study conflict/balance and rarely on the study-life conflict/balance, while the triad of work-study-life balance (WSLB) is understudied. This study is the first one to empirically examine the WSLB concept, defined as a balance of conjoining three ‘categories of student commitment’ – their work obligations, demands of their studies and their private life, using a methodology grounded in the work-life balance (WLB) theory. We conducted a cross-sectional quantitative study on a sample of 235 students, focused on the most relevant dyads of the WSLB concept, socio-demographic predictors and emotional consequences of WSLB. Our five key findings are: (1) it is possible to balance work, studies and private life, (2) work-study balance (WSB) is critical for achieving WSLB, (3) all subgroups of students based on their socio-demographic characteristics are equally (un)successful in achieving balance between and among various life aspects, (4) WSLB is significantly participating in students’ emotional state in terms of their happiness, unhappiness and relaxation, and (5) the study-life balance (SLB) dyad is the most relevant dyad for the students’ emotional state.
Bioethanol Production from Olive Solid Residues by Using Rhodotorula Minuta
Authors: Al-Rubaie Sundus Khudair , Abdulhay Hind Suhail
Published: February 2022

Bioethanol is an attractive fuel with higher potential for energy security and environmental safety. Olive solid residues were used as a raw material for the production of bioethanol through the use of different preliminary treatments . Separate treatments with cellulose, hydrochloric acid (HCl 5%), sulfuric acid (H2SO4 2%), and liquid ammonia NH4OH (20%) were used to convert cellulose and hemicellulose into monosaccharaides. The production of ethanol was observed during the fermentation process using R. minuta under anaerobic conditions.  After 3 days of fermentation, lowest concentrations of ethanol of  0.233, 0.249, 0.261, and 0.275 g/ l were produced from olive waste powder sample as a result of separate pretreatment with cellulase, hydrochloric acid (HCl 5%), sulfuric acid (H2SO4 2%), and liquid ammonia NH4OH (20%), respectively, whereas the untreated sample showed ethanol yield of 0.264 g/ l.. The highest ethanol concentrations for the same samples were 0.510, 0.564, 0.737, and 0.696 g/ l, respectively, whereas that for the untreated samples was 0.445 g/ l. The highest concentration of ethanol produced (0.737 g/ l) was achieved after 3 days of fermentation of olive solid waste pretreated with H2SO4 2% at 30 oC and pH 5. The average yield of ethanol resulted from these saccharification and fermentation processes following the pretreatment of olive solid waste was 0.59 g/10 g dry olive solid residues.
Association of Helicobacter pylori Infection with Type 2 Diabetic Patients in Dohuk Governorate, Iraq
Authors: Al-Rawi Nada F. , Al-Khafaf Abeer H. , Ibrahem Hiyam A. , Hussein Nawfal R.
Published: February 2022

Helicobacter pylori (H. pylori) is one of the most common human pathogens in the world. Several studies that have investigated the correlation between H. pylori infection and type 2 diabetes mellitus (DM) found that H. pylori infection is more frequent in the patients, while the results of other studies were unclear. This paper aims to investigate the interrelation between the infection with H. pylori and type 2 DM in Dohuk governorate, Iraq. Eighty four diabetes patients (41 males, 43 females) and 92 healthy controls were involved in this study. H. pylori status was assessed in serum samples by using ELISA test.  Out of the 84 patients, 65 patients (77.4%) were H. pylori positive (+ve) and 19 (22.6%) were H. pylori negative (-ve), with the difference being statistically significant. This paper found that diabetes is significantly associated with the infection of H. pylori in the studied sample of Iraqi patients.
Legal aspects of ensuring national security in the sphere of subsoil use of natural gas in Russia and China
Authors: Gao Yu , Bolotov Maksim Viktorovich
Published: February 2022

In the current context, the goals of Russia and China in achieving "carbon neutrality" by 2060 and strengthening their own energy resource and environmental security, the comparative study of the laws on transition towards low-carbon energy sources and new environmental standards declared by both countries is relevant and urgent. The subject of this research is measures to reform legislation in the sphere of exploration and extraction of natural gas in Russia and China, which can be divided into the following aspects: reform of the legislative system on the mineral resources and competitive transfer of the right to use the subsoil plots, reform of the law "On Foreign Investment" and definition of state strategic mineral resources, legal system of environmental protection, and reform regarding the protection of environmental resources in the mining districts. Based on comparative research in various legal disciplines, the author generalizes and analyzes the similarities and differences in ensuring resource and environmental security in Russia and China. This article summarizes the experience and shortcomings of Russia and China in maintaining balance between the national resource security and environmental security aimed at the achievement of "carbon neutrality". Stemming from the fact that both countries manage the appropriate resource and environmental security, China should adopt the Russian experience and transform the administrative provisions of the lower level associated with the protection of resources and environmental security into legislative acts, in order to enhance their law enforcement, compulsory and deterrent authority. Russia, in turn, should also resort to the experience of China in implementation of the factors of market competition in the sphere of exploration of oil and gas, as well as encourage and motivate foreign or domestic private capital to contribute to oil and gas exploration and help Russia to upgrade its equipment and boost production.
Non-surgical correction of Class III adolescent patient with TADs and Damon system: A case report
Authors: Shaikh Analhaq Anvarhushen , Kumar G Arun , Ramesh G. C , Chinthan Ganesh , Indra Shanthiprasad
Published: February 2022

Here is a case report of a 16 year old female patient with Class III malocclusion with Class III molar relation on both sides. The patient was diagnosed with normodivergent face pattern, proclined upper anterior, and crowded lower anterior, concave profile, potentially competent lips, reverse overjet and 0% overbite, and shallow mentolabial sulcus. The treatment was planned with a maxillary splint, mini-screws in mandible, and Class III elastics for Phase 1 and Phase 2 fixed appliance using the passive self-ligation system. The facial changes produced as a result of treatment were directly related to skeletal and dentoalveolar modifications that were designed as goals for patient treatment.
Content Validation of a Recreational and Sport Risk-Taking Scale
Authors: Belley-Ranger Emilie , Carbonneau Hélène , Trudeau François
Published: February 2022

Purpose: The practice of sport and leisure has many physiological and psychological benefits. However, certain behaviours may contravene the physical integrity and well-being of participants, notably through sports injuries. Several endogenous (sensation seeking, risk perception, psycho- affective aspects, substance consumption, age) and exogenous (social influence, recreational and sporting factors, protective equipment, physical environment) dimensions make up risk-taking behaviours. Method: A qualitative study helped in developing an explanatory risk-taking model. A scale, based on the results of this work, could serve as a useful tool to better understand the determinants of leisure risk-taking among young people and, thus, propose more relevant prevention measures. The purpose of our research is to precisely design and attest to the content validity of a scale based on measuring recreational and sport risk-taking factors among young people between the ages of fourteen and twenty-four years through a Delphi survey with experts (n=7) and two focus groups (n=12). Results: Our findings show that, after these two data collections, the questionnaire displays satisfactory content validity. Continued analysis of psychometric qualities will ensure construct vali dity and fidelity.
‘The Highest Form of Patriotism’
Authors: Murtha Ryan
Published: February 2022

Commentary
Bicycling in Colombia
Authors: Rausch Jane
Published: February 2022

The introduction of the bicycle to Colombia in the 1890s provided a new method of transportation and quickly became the found ation of a new sport, road racing. Over the last fifty years, Colombian bikers have successfully competed in national and European bicycle races such as the Vuelta de Colombia, Giro de Italia, and the Tour de France. After reviewing current historiography on Colombian cycling, thi s essay traces the history of the bicycle’s introduction into the country and explores the reasons why it has become, after fútbol, Colombia’s most popular sport.
‘True Champions and Incredible Patriots’
Authors: Siegel Brett
Published: February 2022

n the United States, a championship-winning sports team’s ceremonial visit to the White House has become a familiar tradition. Beginning nearly a century ago when Calvin Coolidge invited the Washington Senators to celebrate their second American League Pennant in 1924, the White House visit has evolved into such a common occurrence that we tend to take it for granted as a public relations ploy for the political elites and sports darlings of the moment, ultimately bearing little consequence for either. Yet the rhetorical strategies involved in these events reveal shifting understandings of sports’ role in American culture along with interrelated anxieties about what defines the United St ates as a nation. Especially in the context of a turbulent and divisive social climate under President Trump, the ceremonial White House visit has become an unlikely stage for displaying overarching ideological tensions. The controversies surrounding Trump’s invitations and disinvitations, as well as players’ acceptances and rejections, illuminate the inherently political dimensions of sport as athletes conform to, negotiate, or in many cases subvert societal expectations. Mounting disruptions of an enduring White House ritual have initiated a dialogue about leaders hip, honor, and freedom, foundational tenets of the US and the office that represents it.
Weighted Analytics – What Do the Numbers Suggest?
Authors: Peterson Craig , Chellamuthu Vinodh K. , Lovell Joseph
Published: February 2022

Critical Commentary
Gamers Who Gamble
Authors: Abarbanel Brett , Macey Joseph , Hamari Juho , Rio Corley Melton Rolando
Published: February 2022

During recent years, while electronic sports (esports) has increasingly become a positive mainstream cultural phenomenon, it also may have several socio-economic implications, such as the growth of esports betting. Much like betting in sport, betting on esports has become a prominent form of gambling. However, there is still a paucity of knowledge on the demographic characteristics of this gambling cohort, particularly in regard to its relationship to video game play and spectatorship. In the present study, past-year video gamers (N = 1368) completed an online survey. Survey questions inquired about their esports event spectating, video game play, and esports betting behaviours, as well as general demographic questions. Video gamers who bet on esports were a distinct cohort from their counterparts: younger, more likely to be male, lower frequency of video game play, higher frequency of esports spectatorship, and more likely to watch esports in a social setting (e.g., with others). By providing a background on gamers’ behaviours this work contributes to the growing body of research into the dynamic profile of esports play, spectatorship, and gambling. Findings are reflective of the growing interrelation of gambling and gaming behaviours, a subject garnering increasing attention from governments, regulatory agencies, public health specialists and clinicians, and the related industries themselves.
The Politicizing of ESPN
Authors: Grubic Adrianne
Published: February 2022

Since the 2016 presidential election, there has been the perception that politics has not only taken the forefront in news, but in sports as well. After then NFL quarterback Colin Kaepernick took a knee to protest social injustice, ESPN’s protest coverage became a source of debate as various media outlets accused the network of exhibiting partisan coverage with a liberal bias. Sports journalism has historically suffered with issues of credibility, especially ESPN because of the blurring of the lines between information and entertainment. Through a content analysis of the sport site’s Facebook comments, this study found that espn.com users were more likely to be uncivil towards other commenters and were less concerned with a perceived bias by the site. This, however, is not conclusive evidence that espn.com does not have some sort of bias but does indicate that the assumed commenters of sports sites are similar to those of hard news sites, often using its platform for their own political messaging and attacking other users who have different views.
Welcome to America! How can athletic departments better assist international student-athletes with their transition into the American university setting?
Authors: Turick Robert , Feller Rodrigo , Blom Lindsey
Published: February 2022

The current study examined how athletic stakeholders (e.g., coaches and support staff) at a NCAA Division I mid-major university attempt to assist international student-athletes (ISAs) with their transition into the American university setting. Semi-structured interviews with 10 athletic administrators and coaches discussed common transition issues ISAs typically encounter (e.g., cultural changes, dietary/nutritional adjustments, financial misunderstandings, homesickness, etc.), as well as resources (e.g., consistent on-boarding checklists) and a training (e.g., cultural competency training) that should be provided to practitioners that assist/coach ISAs. Additionally, programmatic offerings that might provide support systems and improve the student-athlete experience for ISAs were discussed. Our findings highlight the considerations that athletic administrators and coaches should know when attempting to support ISAs during the beginning stages of their transition to America. Due to the growing number of ISAs competing in college sport, understanding how best to support this population is crucial for athletic departments that are hoping to attract and retain ISAs.
Development of marker detection method for estimating angle and distance of underwater remotely operated vehicle to buoyant boat
Authors: Zaman Muhammad Qomaruz , Mardiyanto Ronny
Published: February 2022

The paper proposes a Marker Detection Method for Estimating the Angle and Distance of Underwater Remotely Operated Vehicle (ROV) to Buoyant Boat. To keep the ROV aligned with the boat, a marker and visual recognition system are designed. The marker is placed facing down under the boat and a method is developed to recognize the angle and distance of the marker from a facing up camera on the ROV. By considering space, payload, heat dissipation, and buoyancy in a micro class ROV, there are limited options for computing power that can be utilized. This challenge demands a lightweight visual recognition technique for small computers. The proposed method consists of two steps. The marker designing step explains how the marker is constructed of simple components. The marker recognizing step is based on image processing that uses threshold and blob filtering. They are blob size and blob circularity filters which are used to eliminate unwanted information. The real-time orientation and distance estimation by using one camera are the superiority of this method. The proposed method has been tested by using an 11x11 cm2 marker size. The detection rate of the marker is 90% and can be detected up to 120 cm from the camera. The marker can be tilted up to 50° and still has an 80% detection rate. The method can estimate marker rotation angle accurately with a 1.75° average error. The method can estimate the distance between the marker and camera with a -0.62 cm average error. The blob filter is also proven to be superior to a regular dilating and eroding method.
Cable fault classification in ADSL copper access network using machine learning
Authors: Ghazali Nurul Bashirah , Hashim Dang Fillatina , Che Seman Fauziahanim , Isa Khalid , Ramli Khairun Nidzam , Abidin Zuhairiah Zainal , Mustam Saizalmursidi Md , Haek Mohammed Al
Published: February 2022

Asymmetrical Digital Subscriber Line (ADSL) is the technology widely deployed worldwide, but its performance may be limited with respect to its intrinsic. The nature of the copper cable causes it to be more susceptible to signal degradation and faulty line. Common ADSL line faults are short-wired fault, open-wired fault, bridge taps, and uneven pair. However, ADSL technology is still one of the most established networks, and users in the suburban area still depend on the technology to access the internet service. This paper discussed and compared a machine learning algorithm based on Decision Trees (J48), K-Nearest Neighbor, Multi-level Perceptron, Naïve Bayes, Random Forest, and Sequential Minimal Optimization (SMO) for ADSL line impairment that affects the line operation performance concerning their percentage of accuracy. Resulting from classifications done using algorithms as mentioned above, the random forest algorithm gives the highest overall accuracy for the ADSL line impairment dataset. The best algorithm for classifying DSL line impairment is chosen based on the highest accuracy percentage. The accomplishment classification of fault type in the ADSL copper access network project may benefit the telecommunication network provider by remotely assessing the network condition rather than on-site.
An improved K-Nearest neighbour with grasshopper optimization algorithm for imputation of missing data
Authors: Abidin Nadzurah Zainal , Ismail Amelia Ritahani
Published: February 2022

K-nearest neighbors (KNN) has been extensively used as imputation algorithm to substitute missing data with plausible values. One of the successes of KNN imputation is the ability to measure the missing data simulated from its nearest neighbors robustly. However, despite the favorable points, KNN still imposes undesirable circumstances. KNN suffers from high time complexity, choosing the right k, and different functions. Thus, this paper proposes a novel method for imputation of missing data, named KNNGOA, which optimized the KNN imputation technique based on the grasshopper optimization algorithm. Our GOA is designed to find the best value of k and optimize the imputed value from KNN that maximizes the imputation accuracy. Experimental evaluation for different types of datasets collected from UCI, with various rates of missing values ranging from 10%, 30%, and 50%. Our proposed algorithm has achieved promising results from the experiment conducted, which outperformed other methods, especially in terms of accuracy.
Adjusting cyber insurance premiums based on frequency in a communication network
Authors: Indratno Sapto Wahyu , Antonio Yeftanus , Saputro Suhadi Wido
Published: February 2022

This study compares cyber insurance premiums with and without a communication network effect frequency. As a cybersecurity factor, the frequency in a communication network influences the speed of cyberattack transmission. It means that a network or a high activity node is more vulnerable than a network with low activity. Traditionally, cyber insurance pricing considers historical data to set premiums or rates. Conversely, the network security level can evaluate using the Monte Carlo simulation based on the epidemic model. This simulation requires spreading parameters, such as infection rate, recovery rate, and self-infection rate. Our idea is to modify the infection rate as a function of the frequency in a communication network. The node-based model uses probability distributions for the communication mechanism to generate the data. It adopts the co-purchase network formation in market basket analysis for building weighted edges and nodes. Simulations are used to compare the initial and modified infection rates. This paper considered prism and Petersen graph topology as case studies. The relative difference is a metric to compare the significance of premium adjustment. The results show that the premium for a node with a low level in a communication network can reach 28.28% lower than the initial premium. The premium can reach 20.99% lower than the initial network premium for a network. Based on these results, insurance companies can adjust cyber insurance premiums based on computer usage to offer a more appropriate price.
Comparative analysis of classification techniques for leaves and land cover texture
Authors: Azmer Azri Azrul , Hassan Norlida , Khaleefah Shihab Hamad , Mostafa Salama A , Ramli Azizul Azhar
Published: February 2022

The texture is the object’s appearance with different surfaces and sizes. It is mainly helpful for different applications, including object recognition, fingerprinting, and surface analysis. The goal of this research is to investigate the best classification models among the Naive Bayes (NB), Random Forest (DF), and k-Nearest Neighbor (k-NN) algorithms in performing texture classification. The algorithms classify the leaves and urban land cover of texture using several evaluation criteria. This research project aims to prove that the accuracy can be used on data of texture that have turned in a group of different types of data target based on the texture’s characteristic and find out which classification algorithm has better performance when analyzing texture patterns. The test results show that the NB algorithm has the best overall accuracy of 78.67% for the leaves dataset and 93.60% overall accuracy for the urban land cover dataset.
A data mining approach for classification of traffic violations types
Authors: Othman Nor Aqilah , Foozy Cik Feresa Mohd , Mustapha Aida , Mostafa Salama A , Palaniappan Shamala , Kashinath Shafiza Ariffin
Published: February 2022

Traffic summons, also known as traffic tickets, is a notice issued by a law enforcement official to a motorist, who is a person who drives a car, lorry, or bus, and a person who rides a motorcycle. This study is set to perform a comparative experiment to compare the performance of three classification algorithms (Naive Bayes, Gradient Boosted Trees, and Deep Learning algorithm) in classifying the traffic violation types. The performance of all the three classification models developed in this work is measured and compared. The results show that the Gradient Boosted Trees and Deep Learning algorithm have the best value in accuracy and recall but low precision. Naïve Bayes, on the other hand, has high recall since it is a picky classifier that only performs well in a dataset that is high in precision. This paper’s results could serve as baseline results for investigations related to the classification of traffic violation types. It is also helpful for authorities to strategize and plan ways to reduce traffic violations among road users by studying the most common traffic violation types in an area, whether a citation, a warning, or an ESERO (Electronic Safety Equipment Repair Order).
Sentiment analysis of Indonesian hotel reviews: from classical machine learning to deep learning
Authors: Kusumaningrum Retno , Nisa Iffa Zainan , Nawangsari Rizka Putri , Wibowo Adi
Published: February 2022

Currently, there are a large number of hotel reviews on the Internet that need to be evaluated to turn the data into practicable information. Deep learning has excellent capabilities for recognizing this type of data. With the advances in deep learning paradigms, many algorithms have been developed that can be used in sentiment analysis tasks. In this study, we aim to compare the performance of classical machine learning algorithms—logistic regression (LR), naïve Bayes (NB), and support vector machine (SVM) using the Word2Vec model in conjunction with deep learning algorithms such as a convolutional neural network (CNN) to classify hotel reviews on the Traveloka website into positive or negative classes. Both learning methods apply hyperparameter tuning to determine the parameters that produce the best model. Furthermore, the Word2Vec model parameters use the skip-gram model, hierarchical softmax evaluation, and the value of 100 vector dimensions. The highest average accuracy obtained was 98.08% by using the CNN with a dropout of 0.2, Tanh as convolution activation, softmax as output activation, and Adam as the optimizer. The findings from the study demonstrate that the integration of the Word2Vec model and the CNN model obtains significantly better accuracy than other classical machine learning methods.
Prediction of silicon content in the hot metal using Bayesian networks and probabilistic reasoning
Authors: Cardoso Wandercleiton , Felice Renzo di
Published: February 2022

The blast furnace is the principal method of producing cast iron. In the production of cast iron, the control of silicon is vital because this impurity is harmful to almost all steels. Artificial neural networks with Bayesian regularization are more robust than traditional back-propagation networks and can reduce or eliminate the need for tedious cross-validation. Bayesian regularization is a mathematical process that converts a nonlinear regression into a "well-posed" statistical problem in the manner of ridge regression. The main objective of this work was to develop an artificial neural network to predict silicon content in hot metal by varying the number of neurons in the hidden layer by 10, 20, 25, 30, 40, 50, 75, and 100 neurons. The results show that all neural networks converged and presented reliable results, neural networks with 20, 25, and 30 neurons showed the best overall results. However, In short, Bayesian neural networks can be used in practice because the actual values correlate excellently with the values calculated by the neural network.
EFFECT OF MATERNAL DISEASE AND ANTEPARTUM BLOODING ON NEONATORUM ASPHYSIA
Authors: Sumarni Sumarni - , Prabandari Fitria - , Sofiana Juni -
Published: February 2022

Background: Asphyxia in newborns is a syndrome with symptoms of apnea. Complications of asphyxia can cause hypoxia and brain ischemia which results in brain edema, brain hemorrhage, seizures and coma and can lead to death. Factors associated with the occurrence of asphyxia neonatorum, namely maternal and premature infant, placenta previa, placental abruption and prolonged labor. The objective of the study was to determine the effect of maternal disease and antepartum bleeding on asphyxia in newborns at Prof. Dr. Margono Soekarjo Hospital Purwokerto. Method: This type of research uses an analytic observational method with a case control approach. The population in this study were all newborns at RSUD Prof. Dr. Margono Soekarjo Purwokerto on July-December 2020 as many as 749. The sample used was 150 with 75 samples for cases and 75 samples for control. The analytical method in this study uses Chi square. The results: The maternal disease (p = 0.003 95% CI: OR), placenta-previa (p = 0.002), placental abruption (p = 0.002), affected the incidence of asphyxia in newborns.  Conclusion: The factors that influence the incidence of asphyxia in newborns are maternal disease (hypertension, heart and diabetes mellitus), antepartum bleeding (placenta previa, placental abruption).
Proses BABBITING Bantalan Luncur Melalui Pengecoran Sentrifugal
Authors: Abrianto Akuan
Published: February 2022

Pelapisan paduan timah pada bantalan melalui proses pengecoran sentrifugal, dapat menghasilkan lapisan babbit yang optimum pada kecepatan putar 190rpm dengan struktur dendritik dan terbentuk senyawa intermetalik pada daerah interface-nya sehingga dapat meningkatkan daya lekat lapisan.
The Extraordinary Leader: Turning Good Manager Into Great Leaders
Authors: Jahny Sast
Published: February 2022

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Perancangan Alat Ukur Anthropometri Dinamis Manual untuk Mengukur Gerakan Sendi Leher dan Pergelangan Tangan
Authors: Gianty Puspawardhani  , Deris V
Published: February 2022

Anthropometri adalah bagian dari ergonomi yang mempelajari dimensi tubuh manusia. Dalam perkembangannya saat ini, Anthropometri masih kesulitan dalam melakukan proses pengukuran terutama untuk mengukur gerakan tubuh manusia (Anthropometri Dinamis), yang disebabkan oleh keterbatasan alat ukur yang ada.

Software Motion Capture merupakan salah satu alat ukur Anthropometri Dinamis terlengkap yang penulis ketahui sampai saat ini. Tapi karena harganya yang mahal yaitu & Rp. 1 Milyar (Karya Agung - Technical Supplier and Education Supporter, tahun 2006) maka tidak setiap Universitas dapat memilikinya. Sedangkan alternatif lain yaitu dengan menggunakan alat ukur Anthropometri Dinamis secara manual pun yang ada saat ini masih terbatas hanya dapat mengukur 2 variabel Anthropometri Dinamis dari 21 Variabel. Berdasarkan kondisi diatas maka diperlukan perancangan alat ukur Anthropometri Dinamis manual sebagai alternatif lain.

Berdasarkan hasil identifikasi kebutuhan didapatkan karakteristik alat ukur anthropometri dinamis yang diinginkan yaitu yang valid, handal, multifungsi, aman, nyaman, mudah digunakan, tahan lama, portable serta harganya murah. Dan karena keterbatasan waktu dan keterbatasan pengetahuan penulis, maka alat ukur yang dirancang dalam penelitian ini hanya dapat mengukur 6 variabel Anthropometri Dinamis yang dikelompokan pada sendi leher sebanyak 3 variabel dan pergelangan tangan sebanyak 3 variabel.
Pengaruh Rapat Arus dan Waktu Pelapisan Terhadap Kualitas Lapisan Nikel pada Temperatur Kamar
Authors: Pradoto Ambardi
Published: February 2022

Proses pelapisan nikel temperatur kamar dilakukan dengan memvariasikan waktu proses dan rapat arus. Bila dibandingkan dengan pelapisan nikel temperatur tinggi (T - 40 -700C), biaya nikel temperatur kamar jauh lebih rendah 57,496, sehingga diharapkan dapat menurunkan biaya produksi pelapisan.

Data pemeriksaan/pengujian yang dilakukan pada spesimen yang telah dilapis menunjukkan bahwa kualitas lapisan nilikel temperatur kamar memberikan hasil yang mengkilap, memiliki daya lekat yang baik, dan ketahanan korosi yang cukup tinggi.
Analisa Umur Pakai Baja Perkakas ASSAB DF3/AISI O1 Proses Perlakuan Panas
Authors: Adi Ganda Putra  , Pawawoi
Published: February 2022

Pada proses pembentukan logam, kondisi gesekan akan terjadi antara benda kerja yang relatif lunak dan perkakas/cetakan (dies) yang keras sehingga akan mengakibatkan keausan. Kualitas produk dan ketelitian dimensi berkaitan langsung dengan keausan perkakas. ASSAB DF 3 LAISI O1 adalah baja perkakas pembentuk (dies) yang dapat dikeraskan dengan proses perlakuan panas. Baja ini memiliki sifat mampu mesin dan ketangguhan yang baik serta laju keausan yang rendah umumnya digunakan untuk proses Press Working.

Proses perlakuan panas pada material perkakas ASSAB DF 3 adalah Ouenching dan variasi Double Tempering mengakibatkan terjadinya perubahan Jasa sehingga dapat meningkatkan kekerasan dan ketahanan terhadap keausan.

Analisa teoritis umur pakai material perkakas ASSAB DF 3 hasil proses perlakuan panas pada proses Blanking diperoleh hasil optimum yaitu hasil proses Auenching media oli dan Double Tempering pada temperatur 2 X 100C. Nilai kekerasan sebesar 56,78 HRc (628,60 HVN) dapat diperoleh sebanyak 19148 buah keping hasil proses Blanking.
Spray Dryer
Authors: Gatot Trilaksono
Published: February 2022

Peralatan spray driver belum begitu luas penggunaannya di dalam industri keramik. Hanya ada dua contoh yang ingin dikemukakan, itupun hanya berkaitan dengan bahan baku pembuatan keramik, yaitu alumina dan pewarnaan keramik (ceramics colors). Makalah ini ingin menyajikan sedikit teori, karakteristik operasi dan contoh rancangan alat sederhana serta perkembangan pemakainya pada industri di Indonesia.

Spray Drying adalah pengeringan larutan dan bubur (slurries) dengan cara mendispersikan larutan, dalam bentuk tetesan (â€œ "â€œF' ke dalam aliran panas. Ada tiga proses dasar yang akan menentukan sukses tidaknya pengeringan, yakni atomisasi cairan, pencampuran antara gas dengan tetesan cairan, dan pengeringan cairan. Selain itu, dalam metoda perancangan ketiga peristiwa di atas, tergantung pada:

Bentuk dan ukuran partikel yangdiinginkan.

Sifat fisik umpan.

Temperatur maksimum yang bisa dicapaioleh gas-masukan (inlet-gas) dantemperatur produk.

Sampai saat ini pelaratan pengering jenis ini masih banyak diimpor. Problema utama untuk menguasai ilmu dan rekayasa terletak pada teknologi atomisasi (pendispersian) larutan sesuai dengan diameter partikel produk yang diinginkan dan pendistribusian gas-masukannya.