bluuebunny/crossref_metadata_2025 huggingface dataset:
ABIDE: A Novel Scheme for Ultrasonic Echo Estimation by Combining CEEMD-SSWT Method with EM Algorithm
Authors: Jiao Yingkui , Li Zhiwei , Zhu Junchao , Xue Bin , Zhang Baofeng
Published: February 2022

Ultrasonic echo estimation has played an important role in industrial non-destructive testing and analysis. The ability to estimate parameters in the ultrasonic echo model is crucial to ensure the effectiveness of practical ultrasonic testing applications. In this paper, a scheme called ABIDE for identifying both multiple noises in the echo signal and the distribution of the denoised signal is proposed for ultrasonic echo signal parameter estimation. ABIDE integrates complementary ensemble empirical mode decomposition and the synchrosqueezed wavelet transform (CEEMD-SSWT) as well as the expectation maximization (EM) algorithm. The echo signal is split into a series of IMF components and a residual with the help of CEEMD, and then these IMFs are classified into the noise-dominant part and signal-dominant part by analyzing the correlation of each IMF and the echo signal using grey relational analysis. Considering the effect of noise in the signal-dominant part, SSWT is adopted to remove the noise in the signal-dominant part. Lastly, the signal output by the SSWT algorithm is used for reconstructing a denoised signal combined with the residual from CEEMD. Considering the distribution characteristic of the denoised signal, the EM algorithm is used to estimate parameters in the ultrasonic echo model. The relative performance of the proposed scheme was evaluated on synthetic data and real-world data and then compared with the state-of-the-art methods. Simulation results on synthetic data show that ABIDE outperforms the state-of-the-art methods in parameter estimation. Physical results on real-world data show that the proposed scheme has a greater PCC value in estimating echo model parameters. This paper also shows that ABIDE requires less convergence time than competitive methods.
Assessing the Contribution of Innovative Technologies to Sustainable Development for Planning and Decision-Making Processes: A Set of Indicators to Describe the Performance of Sustainable Urban Infrastructures (ISI)
Authors: Schinkel Ulrike , Becker Nadja , Trapp Manuel , Speck Mike
Published: February 2022

The sustainable development of our cities and regions has become an integral part of the current debate. To achieve the sustainability goals, however, the development of sustainable technologies and infrastructures as well as decisive municipal action at the local level are essential. The research project VertiKKA (“Vertical Air Conditioning and Wastewater Treatment System”), sponsored by the German Ministry of Education and Research, addresses both technology development and the integration of innovative technologies and infrastructures into urban planning and decision-making processes. As a result, a set of indicators was developed that allows the assessment of urban infrastructures and technologies and their contribution to sustainable development. This article presents the “set of indicators for sustainable urban infrastructures” (ISI). ISI is based on the results of literature and policy review but was further developed and tailored to urban infrastructures and technologies. ISI considers the ecological, economic, and social dimension of sustainability to be of equal importance; in addition, ISI places particular emphasis on looking at the technology development process and on the creation of supportive governance structures for implementation. In order to create a link between research and practice, the applicability of ISI to the VertiKKA technology is critically reflected.
A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation
Authors: Isabelle Diane A. , Westerlund Mika
Published: February 2022

The scholarly literature on the links between Artificial Intelligence and the United Nations’ Sustainable Development Goals is burgeoning as climate change and the biotic crisis leading to mass extinction of species are raising concerns across the globe. With a focus on Sustainable Development Goals 14 (Life below Water) and 15 (Life on Land), this paper explores the opportunities of Artificial Intelligence applications in various domains of wildlife, ocean and land conservation. For this purpose, we develop a conceptual framework on the basis of a comprehensive review of the literature and examples of Artificial Intelligence-based approaches to protect endangered species, monitor and predict animal behavior patterns, and track illegal or unsustainable wildlife trade. Our findings provide scholars, governments, environmental organizations, and entrepreneurs with a much-needed taxonomy and real-life examples of Artificial Intelligence opportunities for tackling the grand challenge of rapidly decreasing biological diversity, which has severe implications for global food security, nature, and humanity.
Sustainable Use of Nature-Based Solutions for Slope Protection and Erosion Control
Authors: Gonzalez-Ollauri Alejandro
Published: February 2022

Soil loss is a global threat to the integrity and function of the Earth’s ecosystems [...]
Online Learning Participation Intention after COVID-19 Pandemic in Indonesia: Do Students Still Make Trips for Online Class?
Authors: Prasetyanto Dwi , Rizki Muhamad , Sunitiyoso Yos
Published: February 2022

In response to the COVID-19 pandemic, educational institutions worldwide have made online learning their primary channel. While the various benefits of e-learning have influenced governments to extend the use of this platform after the pandemic, there is the question of the intention of students toward online learning (i.e., participation and location) after the pandemic. This research aims to examine the intention of undergraduate students to do online learning post-COVID-19 pandemic and explore the factors that affect them in Indonesia. To that end, this study distributed an online questionnaire to 906 undergraduate students in mid-2021 in Bandung, Indonesia, and used the Discriminant Analysis (DA) and Multinomial Logistics Regression (MNL) model to explore the factors that influence the intention for e-learning after the pandemic. Teaching quality and time management benefits were found to influence students’ intention to spend more days on e-learning. Lower frequency of e-learning is associated with communication problems, internet problems, and unfavorable conditions at home. While the substitution effect is found in e-learning for students who are able to focus during online class, the neutral effect is found for students who experience internet problems and have a lower monthly allowance. E-learning also modifies trips for students who have higher monthly allowances and experience dizziness from long screen time. Students who reside in well-developed neighborhoods tend to prefer to attend online classes from home.
Fair Outlier Detection Based on Adversarial Representation Learning
Authors: Li Shu , Yu Jiong , Du Xusheng , Lu Yi , Qiu Rui
Published: February 2022

Outlier detection aims to identify rare, minority objects in a dataset that are significantly different from the majority. When a minority group (defined by sensitive attributes, such as gender, race, age, etc.) does not represent the target group for outlier detection, outlier detection methods are likely to propagate statistical biases in the data and generate unfair results. Our work focuses on studying the fairness of outlier detection. We characterize the properties of fair outlier detection and propose an appropriate outlier detection method that combines adversarial representation learning and the LOF algorithm (AFLOF). Unlike the FairLOF method that adds fairness constraints to the LOF algorithm, AFLOF uses adversarial networks to learn the optimal representation of the original data while hiding the sensitive attribute in the data. We introduce a dynamic weighting module that assigns lower weight values to data objects with higher local outlier factors to eliminate the influence of outliers on representation learning. Lastly, we conduct comparative experiments on six publicly available datasets. The results demonstrate that compared to the density-based LOF method and the recently proposed FairLOF method, our proposed AFLOF method has a significant advantage in both the outlier detection performance and fairness.
IRIS—Intelligent Rapid Interactive Segmentation for Measuring Liver Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease
Authors: Li Collin , Romano Dominick , Wang Sophie J. , Zhang Hang , Prince Martin R. , Wang Yi
Published: February 2022

Purpose: To develop and integrate interactive features with automatic methods for accurate liver cyst segmentation in patients with autosomal dominant polycystic kidney and liver disease (ADPKD). Methods: SmartClick and antiSmartClick were developed using iterative region growth guided by spatial and intensity connections and were integrated with automated level set (LS) segmentation and graphical user interface, forming an intelligent rapid interactive segmentation (IRIS) tool. IRIS and LS segmentations of liver cysts on T2 weighted images of patients with ADPKD (n = 17) were compared with manual segmentation as ground truth (GT). Results: Compared to manual GT, IRIS reduced the segmentation time by more than 10-fold. Compared to automated LS, IRIS reduced the mean liver cyst volume error from 42.22% to 13.44% (p < 0.001). IRIS segmentation agreed well with manual GT (79% dice score and 99% intraclass correlation coefficient). Conclusion: IRIS is feasible for fast, accurate liver cyst segmentation in patients with ADPKD.
Toxicokinetics of Chromium in Enchytraeus crypticus (Oligochaeta)
Authors: Santos Fátima C. F. , Verweij Rudo A. , van Gestel Cornelis A. M. , Amorim Mónica J. B.
Published: February 2022

Chromium is naturally occurring, but emission from anthropogenic sources can lead to increased soil concentrations. Information on its toxicokinetics is essential in order to understand the time needed to reach toxicity and the mechanisms of uptake/elimination. In this study the toxicokinetics of Cr(III) was evaluated using the soil standard species Enchytraeus crypticus. The animals were exposed to 180 mg Cr/kg dry soil, a sublethal concentration, in LUFA 2.2 natural soil. OECD guideline 317 was followed, with a 14-day uptake phase in spiked soil followed by a 14-day elimination in clean soil. Exposure to Cr led to fast uptake and elimination, with Ku = 0.012 kgsoil/kgorganism/day and Ke = 0.57 day−1. The bioaccumulation factor was 0.022, and DT50 for elimination was 1.2 days. The concentration of Cr reached an internal equilibrium in the animals after 10 days. Transfer to clean soil allowed body Cr concentrations to return to background levels after approximately 7 days. E. crypticus seemed able to efficiently regulate internal Cr concentrations by actively eliminating Cr (an essential element). Although Ku and Ke deviated from the values reported in other studies for other soil invertebrates, the bioaccumulation factors were similar. These findings show the importance of toxicokinetic studies in evaluating toxicity based on internal metal concentrations that can more accurately represent the bioavailable concentration.
The Complex Behaviour of s-Process Element Abundances at Young Ages
Authors: D’Orazi Valentina , Baratella Martina , Lugaro Maria , Magrini Laura , Pignatari Marco
Published: February 2022

Open clusters appear as simple objects in many respects, with a high degree of homogeneity in their (initial) chemical composition, and the typical solar-scaled abundance pattern that they exhibit for the majority of the chemical species. The striking singularity is represented by heavy elements produced from the slow process of the neutron-capture reactions. In particular, young open clusters (ages less than a few hundred Myr) give rise to the so-called barium puzzle: that is an extreme enhancement in their [Be/Fe] ratios, up to a factor of four of the solar value, which is not followed by other nearby s-process elements (e.g., lanthanum and cerium). The definite explanation for such a peculiar trend is still wanting, as many different solutions have been envisaged. We review the status of this field and present our new results on young open clusters and the pre-main sequence star RZ Piscium.
Encephalomyocarditis Virus 2A Protein Inhibited Apoptosis by Interaction with Annexin A2 through JNK/c-Jun Pathway
Authors: Han Ruochan , Liang Lin , Qin Tong , Xiao Sa , Liang Ruiying
Published: February 2022

Encephalomyocarditis virus can cause myocarditis and encephalitis in pigs and other mammals, thus posing a potential threat to public health safety. The 2A protein is an important virulence factor of EMCV. Previous studies have shown that the 2A protein may be related to the inhibition of apoptosis by virus, but its specific molecular mechanism is not clear. In this study, the 2A protein was expressed in Escherichia coli in order to find interacting cell proteins. A pull down assay, coupled with mass spectrometry, revealed that the 2A protein possibly interacted with annexin A2. Co-immunoprecipitation assays and confocal imaging analysis further demonstrated that the 2A protein interacted with annexin A2 in cells. In reducing the expression of annexin A2 by siRNA, the ability of the 2A protein to inhibit apoptosis was weakened and the proliferation of EMCV was slowed down. These results suggest that annexin A2 is closely related to the inhibition of apoptosis by 2A. Furthermore, both RT-PCR and western blot results showed that the 2A protein requires annexin A2 interaction to inhibit apoptosis via JNK/c-Jun pathway. Taken together, our data indicate that the 2A protein inhibits apoptosis by interacting with annexin A2 via the JNK/c-Jun pathway. These findings provide insight into the molecular pathogenesis underlying EMCV infection.
The Landscape of COVID-19 Vaccination in Zimbabwe: A Narrative Review and Analysis of the Strengths, Weaknesses, Opportunities and Threats of the Programme
Authors: Murewanhema Grant , Musuka Godfrey , Denhere Knowledge , Chingombe Innocent , Mapingure Munyaradzi Paul , Dzinamarira Tafadzwa
Published: February 2022

The ongoing COVID-19 pandemic brought unprecedented challenges for the population. The advent of national COVID-19 vaccination programmes was therefore welcome as a key control strategy for the COVID-19 pandemic, as evidence has shown that vaccination is the best strategy to reduce the adverse individual and population level adverse outcomes associated with infectious diseases such as COVID-19. Zimbabwe rolled out its vaccination programme in February 2021 with an ambitious target to vaccinate at least 60% of its eligible population by December 2021. However, by that time, the country was still to reach that target. To move the vaccination programme towards achieving this target, it is crucial to understand the strengths, weaknesses, opportunities and threats to the programme. We, therefore, with this narrative review, discuss some of the strengths, weaknesses, opportunities and threats to the programme since its rollout in February 2021. Though the programme has several strengths and opportunities to leverage on, we argue that among other challenges, the emergence of new variants of concern poses one of the biggest threats to local, regional and international vaccination programmes and requires concerted multistakeholder efforts to deal with. Additionally, addressing vaccine hesitancy remains as important as availing the vaccines to the population, to obtain the most benefits out of the programme.
Acupuncture and Traditional Chinese Veterinary Medicine in Zoological and Exotic Animal Medicine: A Review and Introduction of Methods
Authors: Harrison Tara M. , Churgin Sarah M.
Published: February 2022

Acupuncture has been used extensively in domestic animal medicine to treat a variety of medical conditions and diseases as an adjunct or primary therapy. Exotic animals are becoming increasingly common as pets. Owners are expecting therapies for these non-domestic animals to be similar to those available to their other domestic pets. Additionally, zoological and aquatic facilities provide medical care for the entire lives of the animals that are housed in their facilities. Many conditions similar to those observed in domestic animals can develop in zoological species and can benefit from treatment with acupuncture. Through operant conditioning or routine medical examinations, the use of acupuncture as an adjunct therapy is becoming more common. The following paper presents a summary of the types of non-domestic animals treated, for which conditions, and how these methods are commonly used.
Investigation of the Effects of Climate Variability, Anthropogenic Activities, and Climate Change on Streamflow Using Multi-Model Ensembles
Authors: Shah Sabab Ali , Jehanzaib Muhammad , Yoo Jiyoung , Hong Seungho , Kim Tae-Woong
Published: February 2022

Streamflow is a very important component of the hydrological cycle, and variation in the streamflow can be an indication of hydrological disaster. Thus, the accurate quantification of streamflow variation is a core concern in water resources engineering. In this study, we evaluated the factors influencing streamflow and decomposed their effects in three large rivers: the Buk Han River (BHR), the Nam Han River (NHR), and the Lower Han River (LHB). The Pettit test was used to investigate breakpoints in conjunction with the climate elasticity approach and decomposition framework to quantify and decompose the effects of climate variability and anthropogenic activity. The abrupt breakpoints in the streamflow and precipitation data were detected in 1997 and 1995. Considering these breakpoints, we divided the time series into two periods: the baseline period and the post-baseline period. Climate elasticity approaches were used to quantify the effects of climate variability and anthropogenic activity during the baseline period, post-baseline period, and future periods (2031–2060 and 2071–2100) under the Representative Concentration Pathways’ 4.5 and 8.5 scenarios. The results revealed that climate variability was the leading cause of alteration in the streamflow in the BHR and NHR, accounting for 76.52% to 80.51% of the total change, respectively. Meanwhile, the LHR remained more sensitive to anthropogenic activity, which accounted for 56.42% of the total variation in streamflow. Future climate change also showed an increase in precipitation and temperature in both scenarios, especially during the far-future period (2071–2100). This variation in the climatic factor was shown to affect the future streamflow by 22.14% to 27.32%. These findings can play a very important role in future planning for large river basins, considering the impacts of increasing anthropogenic activity and climate change to reduce the risks of hydrological hazards.
A Digital Twin of a Water Distribution System by Using Graph Convolutional Networks for Pump Speed-Based State Estimation
Authors: Bonilla Carlos A. , Zanfei Ariele , Brentan Bruno , Montalvo Idel , Izquierdo Joaquín
Published: February 2022

Water distribution system monitoring is currently carried out using advanced real-time control technologies to achieve a higher operational efficiency. Data analysis techniques can be implemented for condition estimation, which are crucial tools for managing, developing, and operating water networks using the monitored flow rate and pressure data at some network pipes and nodes. This work proposes a state estimation methodology that enables one to infer the hydraulic state of the operating speed of pumping systems from these pressure and flow measurements. The presented approach suggests using graph convolutional neural network theory linked to hydraulic models for generating a digital twin of the water system. It is validated on two benchmark hydraulic networks: the Patios-Villa del Rosario, Colombia, and the C-Town networks. The results show that the proposed model effectively predicts the state estimation in the two hydraulic networks used. The results of the evaluation metrics indicate low values of mean squared error and mean absolute error and high values of the coefficient of determination, reflecting high predictive ability and that the prediction results adequately represent the real data.
Assessing the Effect of Land-Use and Land-Cover Changes on Discharge and Sediment Yield in a Rural Coal-Mine Dominated Watershed in Kentucky, USA
Authors: Gyawali Buddhi , Shrestha Sandesh , Bhatta Aman , Pokhrel Bijay , Cristan Richard , Antonious George , Banerjee Swagata , Paudel Krishna P.
Published: February 2022

The Appalachian Mountain region of eastern Kentucky is unique and contains high proportions of forestland along with coal and natural gas depositaries. Landscape changes due to extreme mining activities can eventually threaten the downstream ecosystems, including soil and water quality, resulting in excessive runoff and sedimentation. The purpose of this study is to assess the impacts of land-use and land-cover (LULC) changes in streamflow and sediment yield in Yellow Creek Watershed, Kentucky, USA, between 1992 and 2016. LULC, digital elevation model, soil, and weather data were inputted into the Soil and Water Assessment Tool (SWAT) to simulate discharge and sediment yield. The model output was evaluated on several statistical parameters, such as the Nash-Sutcliffe efficiency coefficient (NSE), RMSE-observations standard deviation ratio (RSR), percent bias (PBIAS), and the coefficient of determination (R2). In addition, two indices, P-factor and R-factor, were used to measure the prediction uncertainty. The calibrated model showed an increase in surface runoff and sediment yield due to changes in LULC in the Yellow Creek Watershed. The results provided important insights for studying water management strategies to make more informed land management decisions and adaptive practices.
Prediction of Ice-Resistance Distribution for R/V Xuelong Using Measured Sea-Ice Parameters
Authors: Zhou Li , Gu Yingjie , Ding Shifeng , Liu Renwei
Published: February 2022

Increasing human activity in polar areas is making ice-going ships more indispensable in multiple operation scenarios. An improvement in ice-resistance prediction, which cannot be performed without accurate ice parameters, will promote the development of hull design and operational safety in ice-infested waters. The Nataf transformation is applied to generate correlated pseudo-random numbers which represent ice parameters; then, as a numerical method, the circumferential crack method is introduced to calculate the ice resistance of R/V Xuelong in level ice. The main factors which may have a large influence on simulated ice load are studied. The simulation results show that the Burr distribution is the most suitable model to describe the distribution of ice resistance calculated and ice-force amplitude concentrated at a lower level. The statistical results are also discussed and compared with similar research through empirical formulas and Monte Carlo methods. The present simulation can obtain more detailed information during the icebreaking process compared to similar research: the ice force at each time step is achieved; the key ice-force amplitude can be collected, which can benefit studies on hull structure; and potential stress generated by sea ice can be predicted. The present numerical tools and simulation results can provide a reference for ice-going ships sailing in level ice in most scenarios with regard to ice resistance and operational safety.
Epidemiology of simultaneous narcological and mental disorders in adolescence
Authors:   Children's Rehabilitation Center (branch), State Budgetary Healthcare Institution of the city of Moscow “Moscow Research and Practical Centre on Addictions of the Moscow Healthcare Department”, Moscow, Panov A.S. , Zastrozhin M.S. ,   Moscow Research & Practical Centre on Addictions of The Moscow Department of Healthcare (Moscow, 109390, Russian Federation), associate professor of the Department of Narcology, Federal State Budgetary Educational Institution of Further Professional Education “Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation”, Skryabin V.Yu. ,   Narcological Department No. 2 of the clinical branch, Moscow Research & Practical Centre on Addictions of The Moscow Department of Healthcare, Moscow, Koshkina E.A. ,   State Budgetary Healthcare Institution of the city of Moscow “Moscow Research and Practical Centre on Addictions of the Moscow Healthcare Department”, Moscow, Brun E.V. ,   Children's Rehabilitation Center (branch), State Budgetary Healthcare Institution of the city of Moscow “Moscow Research and Practical Centre on Addictions of the Moscow Healthcare Department”, Moscow, Brun E.A. ,   State Budgetary Healthcare Institution of the city of Moscow “Moscow Research and Practical Centre on Addictions of the Moscow Healthcare Department” (Moscow, Russian Federation), Department of Narcology, Federal State Budgetary Educational Institution of Further Professional Education “Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation”
Published: February 2022

Disorders associated with the use of psychoactive substances are often combined with mental disorders in adolescents, which is associated with high risks and consequences for their psychophysical formation and social functioning. The article presents the result of a literature review on the prevalence of drug-related diseases in adolescents, in particular, and in combination with mental disorders. The review reflects the relevance of this problem in connection with high risks and consequences in the younger generation, — the most relevant and significant comorbidity of these disorders in clinical aspects, course and prognosis is reflected.
Structure, absolute values and intensive indicators of the prevalence of mental disorders in the Russian Federation and federal districts in 2018–2020
Authors:   FSBI V. Serbsky National Medical Research Center of Psychiatry and Narcology of the Ministry of Health of the Russian Federation, Demcheva Nadezhda Konstantinovna Demcheva Nadezhda Konstantinovna , Yazdovskaya Alla Vladimirovna Yazdovskaya Alla Vladimirovna ,   FSBI V. Serbsky National Medical Research Center of Psychiatry and Narcology of the Ministry of Health of the Russian Federation
Published: February 2022

The aim of the study was to determine the structural, dynamic and regional characteristics of the prevalence of mental disorders in the Russian Federation over the past 3 years. The analysis of indicators based on statistical reports revealed the predominance of people aged 20-39 years in the age structure of patients; an increase in the proportion of patients aged 15-17 years and 60 years and older; a high proportion of patients with psychoses; an increase in the overall incidence of chronic inorganic psychoses, autism, schizotypal disorders, schizoaffective psychoses; an unfavorable epidemiological situation, both in relation to the distribution of the main forms of mental disorders, and in relation to dynamic indicators in certain federal districts of the Russian Federation. The authors of the article come to the conclusion about the relationship between the prevalence of mental disorders and the transformation of psychiatric care, which led to a reduction in the volume of psychiatric services, as well as the epidemiological situation that developed in 2020, which, due to objective necessity, led to a shift in emphasis in the distribution of urgent medical measures. To solve the identified problems, it is necessary to improve therapeutic, preventive, and rehabilitation measures, especially in relation to psychotic diseases. English version of the article is available at URL: https://panor.ru/articles/structure-absolute-values-and-intensive-indicators-of-the-prevalence-of-mental-disorders-in-the-russian-federation-and-federal-districts-in-20182020/78245.html
FPGA programming using Quartus CAD
Authors:   Bauman Moscow State Technical University, Moscow, Gordienko N.A. , Monakhov P.A. ,   Bauman Moscow State Technical University, Moscow, Sitnikov S.S. ,   Bauman Moscow State Technical University, Moscow
Published: February 2022

In any production — industrial, radio equipment, construction, or agricultural one, the design of various kinds of objects is carried out. Computer-aided design systems ensure the performance of functionally completed design tasks with the receipt of appropriate design solutions and design documents. Programs of this class solve the tasks of automating all stages of system design of varying degrees of complexity: from the production technology of a single part to the design of an entire production line. The article describes the FPGA programming algorithm. The practical significance of the work is the study of the basics of FPGA programming in the Verilog language and familiarity with the Quartus II compilation program, the main FPGA design environment by Intel FPGA, which is easily adaptable to the requirements of a specific project. The Quartus II package includes all the utilities needed to work with FPGA chips. The light version of CAD is free and is publicly available, which is very convenient for learning the basics. However, Quartus free version is often quite sufficient even for professional work. This paper will help beginners to get acquainted with the FPGA and its structure. The DE10-Lite Board with the MAX10 10M50DAF484C7G FPGA and other peripheral modules that allow doing quite complex projects is considered. Based on it, the article shows how to create an empty project for a specific FPGA and add new files to the project. A simple code is written in the Verilog language, using the basic concepts and commands of the language, to control the LEDs on the board when the corresponding buttons are pressed. It is demonstrated how to check the correctness of the written code, compile and download the firmware to the existing board through the built-in programmer. Familiarization and study of this programming language are conducted within the walls of one of the leading engineering universities of the Russian Federation, the Bauman Moscow State Technical University.
DIAGNÓSTICO DE LAS CONDICIONES DE SALUD DE LOS CARPINTEROS DEL QUINDÍO (COLOMBIA)
Authors: Gómez-Yepes Milena Elizabeth , Sánchez-López Juan Farid , Torres Paola , Sánchez Deisy , Camargo Lina María , Castañeda Rene Arturo , Fierro-Pioquinto Jaime , Cardona Angela María , Villamizar Rafael Humberto , Cremades Lazaro Vicente
Published: February 2022

Se realizó un estudio descriptivo observacional de las condiciones de salud de los trabajadores de las áreas de lijado, cepillado y pinturas (trabajadores con mayor probabilidad de sufrir problemas o enfermedades respiratorias por exposición al polvo de madera). Teniendo en cuenta la similitud de tareas, utilización de materiales y equipos se tomó una muestra por conveniencia de 10 empresas más representativas del Quindío. Se encuestaron el 100% de los trabajadores de las áreas antes mencionadas. El 22.6% dieron positivo a problemas respiratorios; estos trabajadores fueron elegidos para la elaboración de las historias clínicas ocupacionales. Se detectó el uso de maderas duras y blandas en la elaboración del mueble, así como inmunizantes o plaguicidas, solventes orgánicos volátiles, resinas epóxicas sintéticas, pegamentos y pinturas para los acabados de la madera. Del total de los encuestados, 45% eran mujeres y 55 %  hombres, siendo las mujeres cabeza de hogar. El promedio de edad fue de 31 años, el más joven de 19 y el mayor de 51 años. Con respecto a los hábitos, el 20% son fumadores y el 45% ingieren alcohol. El 45% practican deportes y el 100% negó padecer alguna enfermedad profesional. El 100% de los trabajadores se quejó de de sufrir de tos, ronquera, renitis, conjuntivitis y gripas frecuentes. Es notable la falta de estilos de vida saludables y de programas de vigilancia epidemiológica de las empresas, que, junto a las condiciones ambientales existentes en sus áreas de trabajo, generan un importante factor de riesgo para eventos crónicos de salud, como la enfermedad pulmonar obstructiva crónica (EPOC).
Thoracoscopic partial pericardiectomy for the treatment of pericardial effusion in dogs
Authors: ŞEN Yusuf , BUMİN Ali , ŞENEL Oytun Okan , ÖZGERMEN Başak , HAYDARDEDEOĞLU Ali , BAŞER Medine İrem
Published: February 2022

Thoracoscopy is a minimally invasive imaging method used in the imaging of the thoracic cavity. In comparison with thoracotomy, thoracoscopy provides better visualization of even the smallest lesions localized in the thoracic cavity. With the use of thoracoscopy, the operation stress in the patient and tissue trauma are reduced, and operating time is shortened. The aim of this study was to evaluate 20 dogs with severe pericardial effusion, which manifested as severe circulation disorder and respiratory distress. The patients determined with pericardial effusion as a result of radiographic and echocardiographic examinations were applied with partial pericardiectomy to achieve permanent health and it was decided to apply this with the minimally invasive thoracoscopic method. The paraxiphoid-transdiaphragmatic approach was applied to the first ten patients and the intercostal approach to the latter. Applicability of thoracoscopic partial pericardiectomy, advantages compared to open surgery, differences between two approach techniques, disadvantages, complications, and success rates were evaluated. It was concluded that this procedure was a successful procedure for dogs and the transdiaphragmatic approach was more useful. In conclusion, thoracoscopic partial pericardiectomy was determined to be easy to apply and more advantageous than open thoracotomy operations.
The Continuum of Eustachian Tube Obstruction in Cats: A temporal bone study
Authors: KESKİN YILMAZ Nevra , SCHACHERN Patricia A. , GUL SANCAK İrem , PAPARELLA Michael M. , CUREOGLU Sebahattin
Published: February 2022

The Eustachian tube is a canal from the tympanic cavity to the nasopharynx that is responsible for the aeration, drainage, and pressure equalization of the middle ear. Partial or complete blockage of the tube can trigger severe ear disease. We evaluated pathologic changes from Eustachian tube obstruction (ETO) in 15 temporal bones from cats with bilateral ETO from the temporal bone collection at the University of Minnesota Medical School Otopathology Laboratory. The samples were evaluated for histopathological changes to investigate the continuum of the disease at intervals of 2 days, 1-week, 2-weeks and 4-weeks. Temporal bones were sectioned in the horizontal plane and every 10th section was stained with hematoxylin and eosin. One section from each ear was stained with periodic acid-Schiff and Alcian blue. Sections were studied under light microscopy. The results revealed moderate hyperplasia equally developed throughout the epithelial layer surrounding the middle ear and neutrophil-rich inflammatory cell infiltration. As the duration of obstruction prolonged to the 4th week, compositional change of the middle ear effusion from serous to mucoid that was accompanied with granulation tissue formation was observed. In conclusion, the severity of the findings related to ETO are directly proportional to the duration of the disease. Therefore, patients presenting with long-lasting complaints of ear diseases should be examined for dysfunction or blockage of the Eustachian tube.
PENGARUH MOTIVASI KERJA DAN TOTAL QUALITY CONTROL (TQC) TERHADAP KINERJA KARYAWAN (Studi Kasus PT.Sansyu Precision Indonesia)
Authors: Chusnah Chusnah , Khoridah Lulu Arifatun
Published: February 2022

PT. Sansyu Precision Indonesia is a manufacturing company engaged in injection molding. This study aims to determine the effect of work motivation and total quality control on employee performance.The sample used in this study were permanent employees as many 65 respondents with a purposive technique. The data analysis method used is regression and hypothesis testing.Based on the results of data analysis and hypothesis testing, it is known that work motivation and total quality control have a positive and significant effect on employee performance at PT. Sansyu Precision Indonesia. The amount of influence given by the variable Work Motivation and Total Quality Control on Employee Performance is 56.4% while the remaining 43.6% is influenced by other variables which are not researched or discussed in this study.
ANALISIS TATANIAGA KELAPA SAWIT (Elaeis guineensis Jacq.) (STUDI KASUS : KECAMATAN KUALUH SELATAN KABUPATEN LABUHAN BATU UTARA)
Authors: Sirait Maruli Tua
Published: February 2022

Kelapa sawit merupakan komoditas unggulan di Kecamatan Kualuh Selatan Kabupaten Labuhanbatu Utara. Berdasarkan latar belakang, maka tujuan penelitian ini adalah menganalisis marjin dan farmer share atau kinerja indusri kelapa sawit. Pemilihan Kecamatan Kualuh Selatan sebagai lokasi penelitian dilakukan secara purposive (sengaja)dengan pertimbangan bahwa daerah tersebut sebagai daerah sentra produksi kelapa sawit.Lembaga yang terlibat dalam pemasaran komoditas kelapa sawit di Kecamatan Kualuh Selatan adalah agen kecil, agen besar dan pabrik. Masing-masing lembaga tersebut  menjalankan fungsi pemasaran yang terdiri dari tiga fungsi pokok yaitu pertukaran, fisik dan fasilitas. Pola saluran pemasaran yang terbentuk untuk komoditas kelapa sawit  ada tiga yaitu: 1) petani–pabrik; 2) petani–agen besar–pabrik 3) petani–agen kecil–agen besar–pabrik. Kinerja pasar kelapa sawit di Kecamatan Kualuh Selatan menunjukkan bahwah 3 saluran pemasaran dengan total marjin yang berbeda beda, semakin banyak lembaga pemasaran yang terlibat maka marjin pemasaran semakin tinggi, hal ini farmer share semakin rendah. Saluran yang paling efisien adalah saluran pemasaran 1 (petani–pabrik).
PENGARUH PENDAPATAN PER BULAN, HARGA, JUMLAH TANGGUNGAN KELUARGA, DAN SELERA TERHADAP KEPUTUSAN MEMBELI MINYAK GORENG CURAH DI PASAR TRADISIONAL
Authors: Purba Mohd Nawi
Published: February 2022

Tujuan penelitian ini adalah untuk menganalisis pendapatan per bulan, harga, jumlah tanggungan keluarga, dan selera konsumen minyak goreng curah di lokasi penelitian. Menganalisis pengambilan keputusan konsumen dalam membeli minyak goreng curah, dan untuk mengetahui faktor-faktor yang berpengaruh terhadap keputusan konsumen dalam membeli minyak goreng curah. Pengambilan sampel dilakukan dengan mengggunakan teknik “proportional Random Sampling” dengan sampel sebanyak 100 responden. Metode analisis yang digunakan adalah metode analisis regresi berganda. Pengolahan data dibantu dengan statistical package social science (SPSS) versi 23.

Penelitian ini dilakukan pada bulan Juli 2018. Hasil penelitian dapat disimpulkan bahwa (1) Pendapatan per bulan berpengaruh signifikan dengan keputusan membeli minyak goreng curah di pasar tradisional sei sikambing medan; (2) Harga berpengaruh signifikan dengan keputusan membeli minyak goreng curah di pasar tradisional sei sikambing medan; (3) Jumlah tanggungan keluarga berpengaruh signifikan dengan keputusan membeli minyak goreng curah di pasar sei sikambing medan; (4) Selera tidak berpengaruh signifikan dengan keputusan membeli minyak goreng curah di pasar tradisional sei sikambing medan; (5) Pendapatan per bulan, harga, jumlah tanggungan keluarga, dan selera berpengaruh signifikan dengan keputusan membeli minyak goreng curah di pasar tradisional sei sikambing medan.
The Use of Digital Tools Scaffolding Language Teaching During Pandemic Outbreak of Covid 19 at State Schools in Turkey
Authors: ÖZKANAL Ümit
Published: February 2022

The study aims to investigate what digital tools were used to scaffold language teaching during the pandemic outbreak of Covid-19. In addition to the list of the digital tools used at K12 classrooms, the reasons to use these tools were examined to discuss their functions to scaffold language teaching dynamics. This study was designed as a descriptive study adopting a qualitative research method. To obtain objective observation data, 43 pre-service teachers attending teaching practice at different K12 schools participated in the study and their reflective observations regarding which digital tools they used, how and why they used them were analyzed. The qualitative analysis indicated that the teachers used different digital tools during online lessons and they varied the tools to increase student involvement and to offer extra interactive activities to revise the target structure. Utilizing these tools and implementations, their lessons were reported as more effective, fun and interactive.
Benliğin Neoliberal Öyküsü ve Psikolojik Danışma
Authors: SARIÇALI Mehmet
Published: February 2022

Psikolojide neyin bilgi değeri taşıdığı ve ne tür konuların araştırılabileceği, içinde bulunulan dönemin yansımalarından etkilenebilmektedir. Neoliberalizmin sosyopolitik düzlemi yeni bir psişe anlatısı ortaya koymuştur. Bu psişe anlatımı doğrultusunda, neoliberal sistem benliğe yönelik bilgiyi ve öyküyü yeniden yapılandırmıştır. Bu çalışmada, neoliberal politikaların psikoloji ve daha özelde de psikolojik danışma alanında yansımaları tartışılmıştır. İlgili yazın incelendiğinde mikro tahakküm alanı olarak birey/ özne, mikro tahakküm biçimi olarak içselleştirilmiş disiplin ve psikolojinin çeşitli yöntemlerle piyasalaşması ya da bireyliğin piyasalaştırılması temaları üzerinde durulmuştur. Ayrıca neoliberal sistemde benliğin yeniden yapılandırılma biçimi incelenmiş, İçsel disipline etme sürecinde benliğe ve duygulara değinilmiştir. Psikolojik danışma alanında bireyin özerkliği ve pozitif gelişiminin sosyal adalet paradigmasıyla bütünleştirilmesinin gereğine vurgu yapılmıştır. Neoliberalizm bağlamındaki eleştirel yazın çerçevesinde oluşturulan bu temaların psikolojik danışma alanına olası yansımaları ele alınmış, sosyal adalet paradigması çerçevesinde psikolojik danışma alanına yönelik önerilere dikkat çekilmiştir. Güçlülük temelli müdahalelerde, iyi oluşun yanında benliğe yönelik neoliberal baskıdan özgürleşme vurgusu yapılmıştır.
Eğitimde Teknoloji Entegrasyonu ile İlgili Türkiye’de Yapılan Çalışmaların İncelenmesi
Authors: ARSLAN Ganime Beyza , KIZILAY Esra , HAMALOSMANOĞLU Mustafa
Published: February 2022

Bu araştırmanın amacı, eğitimde teknoloji entegrasyonuna yönelik 2015-2020 yılları arasında yapılan çalışmaları betimsel içerik analizi yöntemi çerçevesinde inceleyerek, alan yazındaki genel eğilimi ortaya koymaktır. Araştırmada 2015-2020 yılları arasındaki eğitimde teknoloji entegrasyonu kavramı üzerine TR Dizin ve YÖK Tez Merkezi’nde yer alan çalışmalara ulaşılarak gerekli şartları sağlayan 56 çalışma incelenmiştir. Çalışmalar araştırmanın türü, araştırmanın yılı, araştırma yaklaşımı, araştırma modeli/deseni, katılımcı büyüklüğü, katılımcı grup türü, veri toplama aracı ve veri analiz yöntemi dikkate alınarak analiz edilmiştir. Araştırma verileri içerik analizi ile analiz edilmiştir. Analizler sonucunda eğitimde teknoloji entegrasyonu konusunun en çok yüksek lisans tezlerinde çalışıldığı belirlenmiştir. Eğitimde teknoloji entegrasyonu çalışmaları son beş yıl içerisinde en çok 2019 yılında yürütülmüştür. Çalışmalarda en fazla nicel araştırma yönteminin kullanıldığı belirlenmiştir. Araştırmada incelenen çalışmalarda en fazla kullanılan desenin durum çalışması olduğu tespit edilmiştir. En fazla çalışılan katılımcı büyüklüğünün 0-100 kişi arasında yer aldığı, katılımcı grup açısından en çok öğretmenlerle çalışıldığı tespit edilmiştir. Çalışmalarda veri toplama aracı olarak en fazla ölçek kullanıldığı belirlenmiştir. İncelenen çalışmalarda veri analizi açısından daha çok içerik analizi kullanılmıştır. Elde edilen veriler alan yazındaki çalışmalar çerçevesinde tartışılmıştır. Araştırma sonucunda, alan yazın incelemelerinden hareketle teknoloji entegrasyonuna ilişkin gelecek araştırmalara ve uygulayıcılara öneriler sunulmuştur. İlerideki çalışmalarda daha geniş bir zaman dilimindeki ve farklı veritabanlarındaki çalışmalar dahil edilerek, eğitimde teknoloji entegrasyonu çalışmalarına kapsamlı bir bakış sunulabilir. Nitel araştırma yöntemi olay ve olguların daha derinlemesine incelenmesini sağladığı için nitel ve karma yöntemlerin kullanıldığı eğitimde teknoloji entegrasyonuna dair çalışmalar yürütülebilir.
PREVALENCE OF ANTIMICROBIAL RESISTANCE AND MOLECULAR CHARACTERIZATION OF CARBAPENEMASE ENCODING GENE IN ESCHERICHIA COLI ISOLATES IN HOSPITAL OF HUE UNIVERSITY OF MEDICINE AND PHARMACY
Authors: Nguyen Thi Tuyen , Le Nu Xuan Thanh , Ngo Viet Quynh Tram
Published: February 2022

Background: Currently, the existence of Extended-spectrum beta-lactamases (ESBL) and carbapenemase genes as well as genetic diversity has led to the rapid spread of resistance between E. coli species and the emergence of bacteria with pan-resistance. Objectives: To investigate the prevalence of antimicrobial resistance, prevalence of ESBL-producing E. coli, and carbapenemase-coding gene in E. coli isolates at Hospital of Hue University of Medicine and Pharmacy. Materials and method: The susceptibility to 13 antimicrobials of 246 E. coli isolates was detemined by the Kirby-Bauer method. ESBL-producing potential E. coli isolates were confirmed phenotypic by the Double Disc Synergy Test (DDST) and Combination Disc Test (CDT). Using multiplex PCR to detect genes encoding carbapenemase belonging to class B (Metallo β-lactamase), class D (oxacillinase), and blaKPC gene. Sequencing of carbapenemase genes were used to identify carbapenemase variants. Results: 91.46% of E. coli strains were identified as multidrug-resistant; most of them resistant to penicillins, fluoroquinolone, sulfonamide; high frequency of resistance to 3rd generation cephalosporin, chloramphenicol, gentamycin. The high isolation rate of ESBL-producing E. coli (50%) was detected. The resistance to carbapenems was largely mediated by the expression of acquired carbapenemases: blaKPC-2, blaNDM-4, and blaOXA-48. This study first reported blaNDM-4-harboring E. coli isolates in Vietnam. Conclusion: The high prevalence of multidrug-resistant and ESBL-producing E. coli, as well as the coexistence of ESBLs and carbapenemase genes, could seriously limit options for clinical treatment.
IMAGING OF ANKYLOSING SPONDYLITIS
Authors: Nguyen Thanh Thao
Published: February 2022

Ankylosing spondylitis is among HLA-B27-associated diseases. Four common diseases of the HLA-B27- associated group include ankylosing spondylitis, inflammatory bowel disease, psoriatic arthritis and reactive arthritis. This group is characterized by ankylosis, new bone formation and is common in large joints. Ankylosing spondylitis often have bilaterally asymmetrical sacroiliac joint involvement. Diagnosis is based on clinical, HLA-B27 testing and imaging. Conventional radiography is the classic diagnostic criteria. Magnetic resonance has recently been included in the 2009 ASAS diagnostic criteria for early diagnosis.
NALISIS PROBLEMATIKA STUDY FROM HOME (SFH) PADA MATA PELAJARAN BAHASA INGGRIS DI SMP NEGERI 1 RANAH PESISIR KABUPATEN PESISIR SELATAN MASA PANDEMI COVID-19
Authors:   STKIP Pesisir Selatan, Hardewiyani Titi , Saputra Bobi , Abdul Hasan Taufik , Julis M.
Published: February 2022

The policy issued by the government regarding study from home during the COVID-19 pandemic has created new problems in learning in schools. Students assume that study from home is a holiday activity that they enjoy at home. This kind of learning also causes students to feel bored because every day they face very monotonous activities. This study aims to describe the problems of pedagogy with study from home (SFH) in learning English at SMP Negeri 1 Ranah Pesisir during the COVID-19 pandemic. This study uses a qualitative descriptive method with a case study approach. As the subject of this research, four English teachers teach grades VII, VIII and IX at SMP Negeri 1 Ranah Pesisir. From the data analysis, the researchers obtained the results, namely, 1) the absence of online study from home learning training, so that teachers still lacked experience in improving online SFH learning activities. 3) Limited time with SFH online makes students unable to complete school assignments on time. 4) Lack of parental concern for students because parents are still pretentious with the online SFH learning system, they are not used to being involved in the learning process.