bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Long-Term Increases in Water Temperature and Stratification on Large Artificial Water-Source Lakes in South Korea
Authors: Yu Soon-Ju , Son Ju-Yeon , Kang Ho-Yeong , Cho Yong-Chul , Im Jong-Kwon
Published: September 2021

Long-term changes in air and water temperatures and the resulted stratification phenomena were observed for Soyang Lake (SY), Paldang Lake (PD), Chungju Lake (CJ), and Daecheong Lake (DC) in South Korea. Non-parametric seasonal Kendall and Mann-Kendall tests, Sen slope estimator, and potential energy anomaly (PEA) were applied. The lake surface water temperatures (LSWTs) of SY and DC increased at the same rate (0.125 °C/y), followed by those of CJ (0.071 °C/y) and PD (0.06 °C/y). Seasonally, the LSWT increase rates for all lakes, except PD, were 2–3 times higher than the air temperature increase rates. The lake stratification intensity order was similar to those of the LSWT increases and correlations. SY and DC displayed significant correlations between LSWT (0.99) and PEA (0.91). Thus, the LSWT significantly affected stratification when the water temperature increased. PD demonstrated the lowest correlation between LSWT and PEA. Inflow, outflow, rainfall, wind speed, and retention time were significantly correlated, which varied within and between lakes depending on lake topographical, hydraulic, and hydrological factors. Thus, hydraulic problems and nutrients should be managed to minimize their effects on lake water quality and aquatic ecosystems because lake cyanobacteria can increase as localized water temperatures increase.
A Systematic Analysis of the Interaction between Rain-on-Grid-Simulations and Spatial Resolution in 2D Hydrodynamic Modeling
Authors: David Amrei , Schmalz Britta
Published: September 2021

A large number of 2D models were originally developed as 1D models for the calculation of water levels along the main course of a river. Due to their development as 2D distributed models, the majority have added precipitation as a source term. The models can now be used as quasi-2D hydrodynamic rainfall–runoff models (‘HDRRM’). Within the direct rainfall method (‘DRM’), there is an approach, referred to as ‘rain-on-grid’, in which input precipitation is applied to the entire catchment area. The study contains a systematic analysis of the model behavior of HEC-RAS (‘Hydrologic Engineering Center—River Analysis System’) with a special focus on spatial resolution. The rain-on-grid approach is applied in a small, ungauged, low-mountain-range study area (Messbach catchment, 2.13 km2) in Central Germany. Suitable model settings and recommendations on model discretization and parametrization are derived therefrom. The sensitivity analysis focuses on the influence of the mesh resolution’s interaction with the spatial resolution of the underlying terrain model (‘subgrid’). Furthermore, the sensitivity of the parameters interplaying with spatial resolution, like the height of the laminar depth, surface roughness, model specific filter-settings and the precipitation input-data temporal distribution, is analyzed. The results are evaluated against a high-resolution benchmark run, and further criteria, such as 1. Nash–Sutcliffe efficiency, 2. water-surface elevation, 3. flooded area, 4. volume deficit, 5. volume balance and 6. computational time. The investigation showed that, based on the chosen criteria for this size and type of catchment, a mesh resolution between 3 m to 5 m, in combination with a DEM resolution from 0.25 m to 1 m, are recommendable. Furthermore, we show considerable scale effects on flooded areas for coarser meshing, due to low water levels in relation to topographic height.
The Phenomenological Theory of Turbulence and the Scour Evolution Downstream of Grade-Control Structures under Steady Discharges
Authors: Di Nardi Jessica , Palermo Michele , Bombardelli Fabián A. , Pagliara Stefano
Published: September 2021

A more complete understanding of scour mechanisms for flows downstream of grade-control structures, including their temporal evolution, has the potential to lead to improved predicting tools for design. To date, design equations have been mostly derived empirically, i.e., by parametric modelling (at generally-small scales) corresponding to specific structure configurations, and for limited ranges of hydraulic conditions. Although these approaches allowed different authors to propose many empirical and/or semi-empirical equations, they lack generality and may lead to incorrect estimations when applied outside their ranges of validity. First-principles-based methods with solid calibration and validation procedures can overcome these issues. Following recent theoretical advancements presented elsewhere by the last three authors, in this work we analyze and test the predictive capability of a scour evolution model based on the phenomenological theory of turbulence (PTT) by using a large dataset pertaining to different grade-control structures. Although the PTT model was developed (and validated) for scour evolution caused by oblique and vertical plunging jets, we show that its basic assumptions are still valid for the addressed low-head structures, encompassing rock structures, stepped gabion weirs, rock and bed sills, and others. Furthermore, we also provide interesting insights on scour evolution by contrasting the predicting capability of our model against experimental data by different authors for specific structures. Results of the comparison conclusively show that the PTT model has a general validity and represents a trustable tool to estimate scour evolution regardless of the structure configuration and hydraulic conditions.
Evaluation of Pollutant Removal Efficiency by Small-Scale Nature-Based Solutions Focusing on Bio-Retention Cells, Vegetative Swale and Porous Pavement
Authors: Dutta Anik , Torres Arlex Sanchez , Vojinovic Zoran
Published: September 2021

Rapid urbanization, aging infrastructure, and changes in rainfall patterns linked to climate change have brought considerable challenges to water managers around the world. Impacts from such drivers are likely to increase even further unless the appropriate actions are put in place. Floods, landslides, droughts and water pollution are just a few examples of such impacts and their corresponding consequences are in many cases devastating. At the same time, it has become a well-accepted fact that traditional (i.e., grey infrastructure) measures are no longer effective in responding to such challenges. Nature-based solutions (NBS) have emerged as a new response towards hydro-meteorological risk reduction and the results obtained to date are encouraging. However, their application has been mainly in the area of water quantity management with few studies that report on their efficiency to deal with water quality aspects. These solutions are based on replicating natural phenomena and processes to solve such problems. The present paper addresses the question of three NBS systems, namely, bio-retention cells, vegetative swales and porous pavements, for the removal of total suspended solids (TSS), total nitrogen (TN) and total phosphorus (TP) when applied in different configurations (single or networked). The results presented in this paper aim to advance the understanding of their performances during varying rainfall patterns and configurations and their potential application conditions.
Diversity, Distribution, and Habitat Occurrence of the Diaptomid Copepods (Crustacea: Copepoda: Diaptomidae) in Freshwater Ecosystems of Thailand
Authors: Sanoamuang Laorsri , Dabseepai Prapatsorn
Published: September 2021

The diversity, distribution, and checklist of diaptomid copepods from various freshwater ecosystems throughout Thailand are presented, based on data from our biodiversity projects during 1993–2019 and literature reviews. Thailand has one of the most diversified diaptomid fauna in the world, with 42 species identified from 2150 localities (4962 samples). Mongolodiaptomus has the highest species richness with ten species, followed by Tropodiaptomus with seven species. Among these, eight taxa (Arctodiaptomus sp., Mongolodiaptomus pectinidactylus, Neodiaptomus meggitti, Tropodiaptomus hebereri, T. lanaonus, T. oryzanus, T. ruttneri, and Paradiaptomus greeni) are new to the fauna of Thailand. The rare P. greeni, which predominantly occurs in Africa, is also a new record for Southeast Asia. The most frequently encountered species were Mongolodiaptomus botulifer, Phyllodiaptomus praedictus, M. calcarus, M. dumonti, M. malaindosinensis, Vietodiaptomus blachei, Phyllodiaptomus christineae, Eodiaptomus sanoamuangae, Neodiaptomus yangtsekiangensis, E. draconisignivomi, T. vicinus, and Heliodiaptomus elegans. Twelve species appear to be endemic to Thailand, and eight species occur only in the countries belonging to the lower Mekong River Basin (Thailand, Cambodia, Laos, and Vietnam). The uniqueness of the Thai diaptomids is a high degree of co-occurrence of four to seven species in the same localities. Comments on the taxonomic status of the species recorded are provided. In addition, the taxonomic validity of Mongolodiaptomus malaindosinensis is discussed.
Machine Learning-Based Prediction of Chlorophyll-a Variations in Receiving Reservoir of World’s Largest Water Transfer Project—A Case Study in the Miyun Reservoir, North China
Authors: Liao Zhenmei , Zang Nan , Wang Xuan , Li Chunhui , Liu Qiang
Published: September 2021

Although water transfer projects can alleviate the water crisis, they may cause potential risks to water quality safety in receiving areas. The Miyun Reservoir in northern China, one of the receiving reservoirs of the world’s largest water transfer project (South-to-North Water Transfer Project, SNWTP), was selected as a case study. Considering its potential eutrophication trend, two machine learning models, i.e., the support vector machine (SVM) model and the random forest (RF) model, were built to investigate the trophic state by predicting the variations of chlorophyll-a (Chl-a) concentrations, the typical reflection of eutrophication, in the reservoir after the implementation of SNWTP. The results showed that compared with the SVM model, the RF model had higher prediction accuracy and more robust prediction ability with abnormal data, and was thus more suitable for predicting Chl-a concentration variations in the receiving reservoir. Additionally, short-term water transfer would not cause significant variations of Chl-a concentrations. After the project implementation, the impact of transferred water on the water quality of the receiving reservoir would have gradually increased. After a 10-year implementation, transferred water would cause a significant decline in the receiving reservoir’s water quality, and Chl-a concentrations would increase, especially from July to August. This led to a potential risk of trophic state change in the Miyun Reservoir and required further attention from managers. This study can provide prediction techniques and advice on water quality security management associated with eutrophication risks resulting from water transfer projects.
Production of young horse meat when pasture and winter grazing housing under the conditions of forest-steppe area of Transbaikal
Authors: Bazaron B. Z. , Khamiruev T. N. , Dashinimaev S. M. v , Kostomakhin N. M.
Published: September 2021

The results of research on the meat productivity of horses, the morphological composition of carcasses, the chemical composition of horse meat, its nutritional value and environmental safety have been presented in the article. The content of vitamins and minerals in young horse meat at the age of 6 and 18 months has been established. The chemical composition of pasture grass has been studied. According to the content of vitamins and minerals the environmental safety of young horse meat corresponds to SanPiN 2,3.2. – 1078–01. The carcass weight in foals aged 6 months was 117,3 kg, the slaughter yield was 54,1 %, and in 18 months the carcass weight was 171,4 kg, the slaughter yield was 53,6 %. The yield of by-products of the 1st category was 3,94 and 4,19 kg, respectively, by age. In foals at the age of 6 months, the weight of muscle tissue was 83,6 kg, fat – 5,3 kg, bone – 22,5 kg, connective tissue – 5,9 kg, and at the age of 18 months, the weight of muscle tissue was 121,4 kg, fat – 10,1 kg, bone – 32,2 kg, connective tissue – 7,7 kg. The results of the average meat sample have shown that the meat of foals at the age of 6 months contains 71,7 % water, 21,0 % protein, 6,2 % fat, 1,1 % ash, the caloric content was 1536,4 kcal, and at the age of 18 months, respectively, 70,4, 21,0, 6,0, 6,8, 1,2 % and 1619,2 kcal. The caloric content of meat was higher than at 6 months of age by 82,8 kcal. The benefits of young horse meat are that the amino acids, vitamins and minerals contained in it contribute to the normalization of metabolism in the human body, and the meat itself is a supplier of high-quality animal protein. It has been established that according to the requirements of environmental safety, horse meat meets the maximum permissible concentration of the studied substances according to regulatory documents.
The use of extracts of medicinal plants to increase the growth rate of calves
Authors: Zubova T. V. , Grachyev S. Yu.
Published: September 2021

The research aimed at the development and introduction of extracts of medicinal plants for the transition to a highly productive and antibiotic-free agricultural economy has been carried out in the Kemerovo region,. The purpose of the research was to study the effectiveness of the use of extracts of medicinal plants (maral root, stinging nettle, creeping thyme and calendula) to increase the growth rate of calves of Black-and-White breed. A comparative analysis of the effect of medicinal plant extracts on the growth rate of calves of Black-and-White breed has been carried out, the rationale for choosing the most effective combination of them has been given. A pilot batch of a mixture of two extracts of medicinal plants of maral root (Leuzea carthamoides) at a dose of 0,125 mg/kg and stinging nettle (Urticadioica L.) at the dose of 7,0 mg/kg for introduction into the diet of calves has been made. During the experiment all calves have been receiving the mixture of extracts of maral root and stinging nettle were characterized by a high growth rate and as a result by the end of the experiment, the live weight of calves in the experimental group exceeded 2,27 kg or 4,5 % of the indicator in the control group. In this regard, it has been proposed to include in the feeding diet of calves the mixture of extracts of medicinal plants such as maral root at the dose of 0,125 mg/kg and stinging nettle at the dose of 7,0 mg/kg, to increase the growth rate of calves from 14 to 28 days of age.
Influence of feed additives on digestibility of nutrients and nitrogen metabolism in Kholmogorskaya breed of cows in Central Yakutia
Authors: Kostomakhin N. M. , Ivanova N. D.
Published: September 2021

The results of research on the use of the feed additive “Ecostimul-2” and natural zeolite from the Khonguruu deposit in the Suntarsky district of the Republic of Sakha (Yakutia) in the rations of lactating cows have been presented in the article. The purpose of the work was to study the influence of feed additives “Ecostimul-2” and zeolite on the digestibility of nutrients and nitrogen metabolism in lactating cows of Kholmogorskaya breed under the conditions of Central Yakutia. Chemical analysis of feed, accounting of dairy productivity of cows has been carried out according to generally accepted methods. The cows of the control group have received the main ration. The cows of the experimental groups have been additionally received to the main ration: the 1st experimental feed additive “Ecostimul-2” in the amount of 200 mg/head/day, and the 2nd experimental group – “Ecostimul-2” in the amount of 200 mg/head/day and zeolite 200 g/head/day. The inclusion in the ration of lactating cows of Kholmogorskaya breed under the conditions of Central Yakutia of feed additives “Ecostimul-2” and zeolite of the Suntarsky deposit together has increased the digestibility of feed in the ration and improved the digestibility of nutrients and nitrogen metabolism. It has been found during the experiment that in cows have been receiving the feed additive “Ecostimul-2” and zeolite with the main ration (the 2nd experimental group) the average daily milk yield was 9,06 kg with a fat content of 3,8 % or was by 10,4 % higher than in the control group. In cows that have been received feed additive “Ecostimul-2” (the 1st experimental group) the average daily milk yield was 8,76 kg with the fat content of 3,77 % or was by 6,8 % more than in the control group.
Influence of the feed additive Biovitel on the morphological and biochemical parameters of the blood of steers when intensive fattening technology
Authors: Kaluga I. A. , Fatkullin R. R.
Published: September 2021

One of the most important factors for increasing efficiency is the organization of complete ration feeding is to provide farm animals with all the necessary micro- and macroelements. In this regard, rations should be developed on the basis of detailed norms, taking into account the actual chemical composition and nutritional value of the feed used. The purpose of the research was to study the influence of the feed additive Biovitel on the morphological and biochemical parameters of the blood of steers of Hereford breed under intensive fattening technology. On the base of laboratory blood tests it was possible to trace the effect of the feed protein additive Biovitel on the morphological and biochemical parameters of the blood of experimental animals. The correlation of hematological parameters and productivity of animals when using the feed protein additive Biovitel has been evaluated. It has been found that the use of the protein feed additive Biovitel for steers during the fattening period is an effective means to reduce production losses and has a positive effect on the morphological and biochemical parameters of animal blood. The obtained data indicate that the blood parameters were higher in the animals of the experimental group throughout the entire period of research, which contributes to the increase in the physiological status of the animal organism. The revealed correlation coefficients of the live weight of steers with the biochemical parameters of the blood of animals have shown the presence of closer correlation coefficients in the experimental group of steers have been received the feed additive Biovitel.
Influence of a growth stimulator on the sowing traits of wheat
Authors: Maksimova R. A. , Ermolova E. M.
Published: September 2021

Wheat is the main and most important food crop in most countries of the world. It is cultivated in more than 80 countries. The purpose of the work was to study the effect of the growth stimulator Agrostimulin on the sowing traits of wheat seeds. The growth regulator Agrostimulin promotes accelerated division of plant cells, the development of a more powerful root system, an increase in the leaf surface area and chlorophyll content, reduces the phytotoxic effect of pesticides, has an antimutagenic effect, improves the quality of grown products, increases productivity, plant resistance to diseases, stress factors, resistance to adverse environmental factors (hypothermia, overheating, lack or excess of light and moisture). Its use makes it possible to reduce the rates of application of pesticides when using the drug 3–5 times during the vegetation period. The use of the growth stimulator Agrostimulin in the cultivation of spring wheat Omskaya 36 has been reflected in the article. Studies on the sowing traits of spring wheat seeds, phenological observations have been carried out. The yield of wheat Omskaya 36 variety with the use of the growth regulator Agrostimulin was 20 c/ha, which was by 2,1 c/ha or 11,7 % higher compared to the previous year. It has been revealed that the length of the vegetation period in wheat treated with the growth regulator Agrostimulin was 89 days, which was by 7 days less compared to the control. Thus, it has been experimentally proved that the treatment of spring wheat seeds Omskaya 36 with the growth regulator Agrostimulin shortens the growing season and increases its yield.
KÜRESEL SALGIN COVID-19, BAĞIŞIKLIK VE EV TEMELLİ EGZERSİZLER
Authors: CEYLAN Ali , DEMİRDEL Ertuğrul
Published: September 2021

Koronavirüs hastalığı (COVID-19), bireylerde solunum ve fiziksel fonksiyonlar ile hastalığa bağlı gelişen korku, panik ve endişe gibi nedenlerle psikolojik işlevlerde bozukluğa sebep olan oldukça bulaşıcı ve sistemik bir hastalıktır. Önlenemeyen hızda yayılım gösteren COVID-19 salgını nedeniyle birçok ülke kısmi ve genel karantina uygulamasına giderek, vatandaşlarının evde kalmalarını tavsiye etmiştir. Bulaş riskini azaltmak amacıyla uygulanan kısıtlamaların fiziksel aktiviteye katılımı olumsuz etkilediği, bireylerin sedanter yaşam biçimini benimsemesine neden olabileceği belirtilmektedir. Salgın sürecinde alınan zorunlu tedbirler, fiziksel aktivite seçeneklerinin sınırlı olması veya fiziksel aktivitenin tümüyle ortadan kaldırılması anlamına gelmemelidir. Mevcut istikrarsız bir çevrede sağlıklı kalmak ve bağışıklık sistemini güçlendirmek amacıyla evde fiziksel aktivite güçlü bir sağlık için gereklidir. Herhangi bir nedenle hareketsiz kalmak, kalp sağlığını zayıflatır ve uzun dönemde koroner arter hastalığı ve ani kardiyak ölüm riskini artırır. Ev temelli fiziksel aktivitelerin, kısıtlamalardan dolayı evde kalan kişiler için bir egzersiz eğitimi olmasının yanı sıra, salgın sürecinde sağlıklı kalmak ve salgının ortaya çıkarabileceği muhtemel olumsuz durumların azaltılması için de önem arz etmektedir. Hem fiziksel hem de bilişsel sağlığımızı geliştirmek ve süreci daha sağlıklı atlatabilmemiz, sağlığın korunması ve güçlendirilmesi ile bağışıklığın devamı için ev temelli egzersizler tavsiye edilmektedir.
KEREMANGAN SEBUAH KEDAI TEH: RASA DAN TEMPAT
Authors: Nindita Ega Dyas
Published: September 2021

Terkadang karya arsitektur Jawa memiliki sudut yang remang-remang. Keremangan tersebut kerap memberikan kesan yang wingit. Remang dan wingit adalah sebuah kualitas spasial yang bisa dijelaskan melalui estetika. Studi kasus dalam tulisan ini adalah kedai teh dengan nuansa Jawa. Kedai teh ini mempunyai ruang yang sederhana, hangat, dan wingit. Untuk melihat lebih lagi ke dalam, dibutuhkan pemahaman mengenai sistem pengetahuan Jawa seperti kejawen dan rasa. Rasa berhubungan dengan kualitas teologis dan monistis yang rumit dan membentuk persepsi mengenai estetika. Metode yang digunakan adalah fenomenologi, penulis menggunakan aspek inderawi sebagai alat untuk mencerap interior kedai dan menafsirkannya dalam kerangka estetika Jawa. Ternyata keremangan ini berkorelasi dengan mistisisme Jawa, rasa (roso). Rasa adalah hal yang sangat penting bagi orang Jawa, untuk mengukur kehalusan budi dan hati, dan menjadi pengetahuan kehidupan.
KAWASAN PECINAN MEESTER JATINEGARA DALAM KAJIAN TOWNSCAPE
Authors: Astuti Dewi , Hardiman Gagoek , Rukhayah R. Siti , Mildawani Irina
Published: September 2021

Kawasan Pecinan Meester Jatinegara memiliki nilai tradisi, sosial ekonomi, sejarah juga nilai-nilai arsitektural yang masih tersisa hingga saat ini. Pada akhirnya nilai- nilai serta karakter Pecinan Meester Jatinegara, semakin lama semakin memudar seiring pembangunan yang dilakukan di sekitar kawasan. Hal inilah yang menjadikan penelitian ini bertujuan untuk mengkaji komponen – komponen Townscape dari kawasan Pecinan Jatinegara ini dengan Serial Vision, Place dan Content yang terdapat ada pada Teori Gordon Cullen. Studi yang dilakukan menggunakan metode kualitatif serta observasi dengan menggunakan teori – teori yang ada untuk menilai lokasi penelitian dengan pengamatan langsung. Hasil temuan dari penelitian adalah memperlihatkan visual bentuk Townscape dengan menggunakan komponen Place dari kawasan Pecinan Meester Jatinegara, agar dapat membantu stake holder untuk dapat memperkuat karakter dari kawasan Pecinan Meester Jatinegara serta sebagai alat pertimbangan juga sebagai bahan referensi.
To a species composition of subfamily Moelleriinae Hickman et McLean, 1990 (Mollusca: Gastropoda: Colloniidae) in the northwestern Pacific
Authors: Sirenko B. I. , Merkuliev A. V. , Krol E. N. , Danilin D. D. , Nekhaev I. O.
Published: September 2021

Two species of the subfamily Moelleriinae Hickman et McLean, 1990 - Moelleria costulata (Møller, 1842) and Spiromoelleria quadrae (Dall, 1897)- have been reported from the northwestern Pacific so far. The present paper clarifies their distribution in theregion based on the museum collections and newly obtained material from the northwestern Pacific . Also, one more species, Spiromoelleria maculata (Golikovet Gulbin, 1978), which previously had been considered as a member of the genus Homalopoma Carpenter, 1864 (subfamily Coloniinae), is here suggested to be a member of Moelleriinae .
Morphometric and genetic variability of the alien land snail Xeropicta derbentina (Gastropoda, Pulmonata, Hygromiidae) populations
Authors: Adamova V. V. , Snegin E. A. , Ukrainskiy P. A.
Published: September 2021

The recent record of in the south of the Central Russian Upland (Belgorod Region, Russia) provides the opportunity to study the alien populations structure at the stage of colonization of a new territory. High intra-and interpopulation variability of the shell in different parts of the range is revealed. Based on the allozyme and PCR-ISSR analysis, it was established that native and adventitious populations of a had the same level of genetic variability. The potential number of multilocus genotypes calculated for the Belgorod population indicate a further complexity of their genetic structure. The result of the ISSR analysis showed significant genetic differentiation (FST=0.746; p=0.01) of two adventive populations from the Belgorod Region, which indicates their different origin from the natural area.
Reliable findings of bivalve mollusc Neaeromya compressa (Dall, 1899) (Lasaeidae) in the Sea of Japan
Authors: Kolpakov E. V. , NADTOCHY V. А.
Published: September 2021

This paper provides reliable data on the occurrence of bivalve mollusk in the Sea of Japan. Nine alive specimens (L = 5.9-19.2 mm) were collected in June 2003 in Peter the Great Bay (southern Primorye) at the depths of 66-74 m on mud and sand. These are illustrated and described in detail. The data on ecology and geographical range of the species are summarized.
The organizational basics and methodical provision of motion activity development of teenagers in the extracurricular activity
Authors: Vaskan Ivan , Kozhokar Maryna
Published: September 2021

The monograph revealed the organizational and methodical provision of the motion activity development in the extracurricular forms of physical culture of general educational establishments. Nature, standards and importance of motion activity, influence of hypokinesia and hypodynamia on the health state of pupils, ways of engaging to the systematic classes of physical exercises are described. The specific features of motion activity, physical state and motivational-valuable orientations of teenagers in general educational establishments are outlined. The model of motion activity development of teenagers in the extracurricular forms of physical culture was justified. The study is recommended for a practical use within the process of professional activity by the teachers of physical education, postgraduates, students and all motivated specialists who participate in the studies and education of pupils in general educational establishments under modern conditions.
Optimal Adjustment of Evolutionary Algorithm-Based Fuzzy Controller for Driving Electric Motor with Computer Interface
Authors: bulut mehmet
Published: September 2021

This study focused on the development of a system based on evolutionary Algorithms to obtain the optimum parameters of the fuzzy controller to increase the convergence speed and accuracy of the controller. The aim of the study is to design fuzzy controller without expert’s knowledge by using evolutionary genetic algorithms and carry out on a DC motor. The design is based on optimization of rule bases of fuzzy controller. In the learning stage, the obtained rule base fitness values are measured by working the rule base on the controller. The learning stage is repeated the termination criteria. The proposed fuzzy controller is performed on the dc motor from a PC program using a interface circuit.
Note : This article has been accepted for publication in a future issue of ELECTRICA journal, it is now in the early view.

Citation information:

M. Bulut, "Optimal Adjustment of Evolutionary Algorithm-based Fuzzy Controller for Driving Electric Motor with Computer Interface", Electrica, August 5, 2021. DOI: 10.5152/electrica.2021.21033.
Redefining Wireless Communication for 6G:Signal Processing Meets Deep Learning with Deep Unfolding
Authors: Jagannath Anu , Jagannath Jithin , Melodia Tommaso
Published: September 2021

The year 2019 witnessed the rollout of the 5G standard, which promises to offer significant data rate improvement over 4G. While 5G is still in its infancy, there has been an increased shift in the research community for communication technologies beyond 5G. The recent emergence of machine learning approaches for enhancing wireless communications and empowering them with much-desired intelligence holds immense potential for redefining wireless communication for 6G. The evolving communication systems will be bottlenecked in terms of latency, throughput, and reliability by the underlying signal processing at the physical layer. In this position paper, we motivate the need to redesign iterative signal processing algorithms by leveraging deep unfolding techniques to fulfill the physical layer requirements for 6G networks. To this end, we begin by presenting the service requirements and the key challenges posed by the envisioned 6G communication architecture. We outline the deficiencies of the traditional algorithmic principles and data-hungry deep learning (DL) approaches in the context of 6G networks. Specifically, deep unfolded signal processing is presented by sketching the interplay between domain knowledge and DL. The deep unfolded approaches reviewed in this article are positioned explicitly in the context of the requirements imposed by the next generation of cellular networks. Finally, this article motivates open research challenges to truly realize hardware-efficient edge intelligence for future 6G networks.
Fundamental Limits on Detection of UAVs by Existing Terrestrial RF Networks
Authors: Sinha Priyanka , Guvenc Ismail , Gursoy Mustafa Cenk
Published: September 2021

Detection of drones carries critical importance for
safely and effectively managing unmanned aerial system traffic
in the future. Given the ubiquitous presence of the drones across
all kinds of environments in the near future, wide area drone
detection and surveillance capability are highly desirable, which
require careful planning and design of drone sensing networks.
In this paper, we seek to meet this need by using the existing
terrestrial radio frequency (RF) networks for passive sensing
of drones. To this end we develop an analytical framework
that provides the fundamental limits on the network-wide drone
detection probability. In particular, we characterize the joint
impact of the salient features of the terrestrial RF networks, such
as the spatial randomness of the node locations, the directional
3D antenna patterns, and the mixed line of sight/non line of
sight (LoS/NLoS) propagation characteristics of the air-to-ground
(A2G) channels. Since the strength of the drone signal and the
aggregate interference in a sensing network are fundamentally
limited by the 3D network geometry and the inherent spatial
randomness, we use tools from stochastic geometry to derive the
closed-form expressions for the probabilities of detection, false
alarm and coverage. This, in turn, demonstrates the impact of the
sensor density, beam tilt angle, half power beam width (HPBW)
and different degrees of LoS dominance, on the projected detec?tion performance. Our analysis reveals optimal beam tilt angles,
and sensor density that maximize the network-wide detection of
the drones.
Functional parcellation of human brain using localized topo-connectivity mapping
Authors: Zhao Yu , Gao Yurui , Li Muwei , Anderson Adam W. , Ding Zhaohua , Gore John C.
Published: September 2021

The analysis of
connectivity between parcellated regions of cortex provides insights into the
functional architecture of the brain at a systems level. However, there has
been less progress in the derivation of functional structures from voxel-wise
analyses at finer scales. We propose a novel method, called localized
topo-connectivity mapping with singular-value-decomposition-informed filtering
(or filtered LTM), to identify and characterize voxel-wise functional
structures in the human brain using resting-state fMRI data. Here we describe its mathematical background and provide a
proof-of-concept using simulated data that allow an intuitive interpretation of
the results of filtered LTM. The algorithm has also been applied to 7T fMRI
data as part of the Human Connectome Project to generate group-average LTM
images. Functional structures revealed by this approach agree moderately well
with anatomical structures identified by T1-weighted images and fractional
anisotropy maps derived from diffusion MRI. Moreover, the LTM images also
reveal subtle functional variations that are not apparent in the anatomical
structures. To assess the performance of LTM images, the subcortical region and
occipital white matter were separately parcellated. Statistical tests were performed to
demonstrate that the synchronies of fMRI signals in LTM-informed parcellations
are significantly larger than those of random parcellations. Overall, the
filtered LTM approach can serve as a tool to investigate the functional
organization of the brain at the scale of individual voxels as measured in
fMRI.
O lugar da cultura negra, afro-brasileira e indígena nas aulas de Educação Física
Authors: Maldonado Daniel Teixeira , Neira Marcos Garcia
Published: September 2021

OBJETIVO: Analisar como professores e professoras de Educação Física em atuação na Educação Básica abordam os conhecimentos da cultura negra, afro-brasileira e indígena. MÉTODOS: Do ponto de vista metodológico, procedeu-se a pesquisa bibliográfica em periódicos científicos da Educação Física e da Educação e em capítulos de livros, entre os anos de 2009 e 2019, por conta da disseminação de experiência pedagógicas publicadas na literatura da área. RESULTADOS: Foram analisados 34 relatos publicados entre os anos 2009 e 2019, em cinco periódicos científicos indexados no Qualis da Educação Física ou da Educação, que possuem no seu escopo a intencionalidade de disseminar experiências pedagógicas, além de 16 livros que apresentam capítulos relacionados com o cotidiano do componente curricular. A interpretação dos dados foi realizada por meio da análise cultural Muitos docentes de Educação Física desenvolveram projetos educativos tematizando práticas corporais da cultura negra, afro-brasileira e indígena e problematizando os aspectos sociais, históricos, políticos e econômicos que atravessam essas manifestações da cultura corporal. CONCLUSÃO: É possível observar experiências político-pedagógicas em uma perspectiva antirracista na Educação Física.
A Systematic Literature Review of the Epidemiology, Health-Related Quality of Life Impact, and Economic Burden of Immunoglobulin A Nephropathy
Authors: Kwon Christina Soeun , Daniele Patrick , Forsythe Anna , Ngai Christopher
Published: September 2021

Introduction: This systematic literature review analyzed published evidence on IgA nephropathy (IgAN), focusing on US epidemiology, health-related quality of life (HRQoL), and economic burden of illness.

Methods: Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, Embase®, MEDLINE®, Cochrane, and Econlit (January 2010 to June 2020) were searched, along with relevant congresses (2017-2020).

Results: Of 123 epidemiologic studies selected for data extraction, 24 reported IgAN diagnosis rates ranging from 6.3% to 29.7% among adult and pediatric patients undergoing renal biopsy, with all reported US rates <15%. No US studies reported IgAN prevalence. A meta-analysis of US studies calculated an annual incidence of 1.29/100 000 people, translating to an annual US incidence of 4236 adults and children. Relative to Europe, the United States had more patients diagnosed with IgAN in later chronic kidney disease stages. US rates of transition to end-stage renal disease (ESRD) ranged from 12.5% to 23% during 3-3.9 years of observation, rising to 53% during 19 years of observation. Across 8 studies reporting HRQoL, pain and fatigue were the most reported symptoms, and patients consistently ranked kidney function and mortality as the most important treatment outcomes. Patients with glomerulopathy reported worse mental health than healthy controls or hemodialysis patients; proteinuria was significantly associated with poorer HRQoL and depression.

Conclusion: While economic evidence in IgAN remains sparse, management of ESRD is a major cost driver. IgAN is a rare disease where disease progression causes increasing patient burden, underscoring the need for therapies that prevent kidney function decline and HRQoL deterioration while reducing mortality.
A COMPARATIVE ANALYSIS OF K-MEANS AND HIERARCHICAL CLUSTERING
Authors: Aastha Gupta  , Himanshu Sharma  , Anas Akhtar
Published: September 2021

Clustering is the process of arranging comparable data elements into groups. One of the most frequent data mining analytical techniques is clustering analysis; the clustering algorithm’s strategy has a direct influence on the clustering results. This study examines the many types of algorithms, such as k-means clustering algorithms, and compares and contrasts their advantages and disadvantages. This paper also highlights concerns with clustering algorithms, such as time complexity and accuracy, in order to give better outcomes in a variety of environments. The outcomes are described in terms of big datasets. The focus of this study is on clustering algorithms with the WEKA data mining tool. Clustering is the process of dividing a big data set into small groups or clusters. Clustering is an unsupervised approach that may be used to analyze big datasets with many characteristics. It’s a data-modeling technique that provides a clear image of your data. Two clustering methods, k-means and hierarchical clustering, are explained in this survey and their analysis using WEKA tool on different data sets.
KEYWORDS: data clustering, weka , k-means, hierarchical clustering
La pedagogía como saber prefesional en la formación de docentes
Authors: Gómez Esteban Jairo
Published: September 2021

El propósito de este artículo es presentar las diversas perspectivas y concepciones de la pedagogía y sus implicaciones en el proceso de formación de docentes. Básicamente se explica la pedagogía desde las ciencias de la educación, como saber profesional y como método de enseñanza. Se finaliza con una propuesta de lineamientos pedagógicos tanto para la formación de docentes como de docentes en ejercicio.
La edad de los cimientos
Authors: Tonucci Francesco
Published: September 2021

Se ha intentado dar a las palabras pronunciadas en la conferencia de FrancescoTonucci en Bogotá, el primero de octubre de 2007, un carácter de artículo. El intento es fallido en varios aspectos aunque atina en otros. Seguramente el lector notará en estas líneas, más los primeros que los segundos; así las cosas esta trascripción rescata la frescura impertinente de los planteamientos de este italiano en relación con el niño y su lugar en el mundo contemporáneo de occidente, particularmente en la escuela. Lo importante en la vida ocurre antes de ingresar al mundo escolar o, por el contario , acontece en él. Tonucci examina una y otra posición en el texto que sigue, ilustrándolas con imágenes vívidas
Por una nueva institución educativa
Authors: Cortés Salcedo Ruth Amanda
Published: September 2021

El presente ensayo presenta una reflexión en torno al concepto de política pública educativa desde varias ópticas. Primera, desde el punto de vista conceptual asumiendo una definición de política pública que permita transitar por el concepto de la educación en sí misma. En segundo lugar, elabora un análisis de la política educativa centrada en el tema de la calidad y en el significado de la evaluación en ese contexto; por último, aborda el análisis a partir de la caracterización del surgimiento de una nueva institucionalidad educativa
LITERATUR REVIEW: MENGKAJI EFEKTIVITAS PEMBERIAN MENTIMUN TERHADAP PENURUNAN TEKANAN DARAH
Authors: Arum Meiranny  , Astri Syahirani
Published: September 2021

Introduction: Hypertension is a degenerative disease. Those aged ?55 years are at risk for suffering from hypertension, previously blood pressure prehypertension before being diagnosed with hypertension occurred between the third and fifth decades. The World Health Organization reports as many as 839 million cases of hypertension, by 2025 this figure is expected to increase to 1.15 billion or around 29% of the world's total population, where female sufferers are more than 30% compared to male hypertension sufferers, namely 29%. One of the non-pharmacological treatments to treat hypertension is consuming cucumber. Methods: International and national literature searched through electronic media with keyword hints. Eight articles were selected, each of which represents an effectiveness of giving cucumber to reduce blood pressure and provides various information. Results: There was an effect of giving cucumber on reducing blood pressure in respondents. Discussion: One alternative that can be used to lower blood pressure is by consuming cucumber. The diuretic effect on cucumber causes the salt content in the blood to decrease. Reduced levels of salt that absorbs or retains water will reduce blood volume so that it can lighten the work of the heart in pumping blood, and eventually blood pressure will decrease. Conclusion: The conclusion based on the analysis that has been done is that cucumber is effective for lowering blood pressure.
Inter-District Variations in Agricultural Production and Productivity of Jammu Division of Jammu & Kashmir
Authors: Avishake Raina  , Vaishali Sharma
Published: September 2021

Agriculture and its allied activities are the main sources of livelihood in India. Jammu and Kashmir (J&K), a union territory of India is also an agrarian state. More than 70 percent of its population is directly engaged in this sector. Geographically, J&K lies in the Himalayan region and has a huge variation in agro-climate diversity. The climate here varies from sub-tropical in the Jammu division to temperate in the Kashmir division. These climatic variations make it suitable for performing varied cultivation. The productivity of all the major crops in the region has increased manifold since the green revolution but now it is more or less stagnating. Hence, it is useful to examine the productivity of major crops in the union territory. The present paper is an attempt to highlight the overall agricultural production of major food grains crop of J&K from 2000-2001 to 2018-2019. The main focus of the paper is to analyzes the variations in agricultural production and productivity of major crops at the district level in the Jammu division for the period 2010-2011 to 2016-2017. The study is based on secondary data and is empirical in nature. The co-efficient of Variation technique has been used to find out the variations in production and productivity of agricultural crops of the jammu division of J&K. The results show that the overall agricultural production of food grains crops in the region increases over years.It also shows tremendous variations in the production and productivity of the different crops across districts. These variations indicate that there is a need to adopt some specific strategies at the district level for the sustainable development of agricultural growth in the state.
Visualized Analysis of Research Hotspots in Acupuncture-Neuro Immunoregulation Based on Bibliometrics
Authors: Wang Tian-Qi , Sun Li-Ming , Hao Le-Xin , Guo Yuan , Zhang Yue , Feng Xin
Published: September 2021

Objective: To review the development of acupuncture and moxibustion-neural network regulation research systematically and comprehensively in China. Method: This study adopted co-word analysis, cluster analysis and other bibliometric methods such as SATI3.2, Citespace and Gephi to visually
demonstrate the annual publication volume, cooperation between institutions and co-authorship in the field of acupuncture-neuro immunoregulation research based on the data of more than 70 papers on related topics covering a period of 24 years from 1997 to 2020 in China. Results: The results
show that there are three major research institutions in the field of acupuncture-neuro immunoregulation, namely Shanghai, Zhejiang major research institutions in the field of acupuncture-neuro immunoregulation, namely Shanghai, Zhejiang and Heilongjiang Universities of Traditional Chinese
Medicine, as well as 7 clusters, including immune function, acupuncture therapy and endogenous opioid peptide. In the future research, a more comprehensive system will be constructed based on the gradually clear relationship between meridians and nerve regulation, humoral regulation, and immune
regulation. Application practice will combine traditional acupuncture with modern medicine to create a variety of new therapies, such as electroacupuncture, electric acupuncture, and acupoint injection. Conclusion: The research focus will be expanded on how to improve the clinical efficacy
of multiple combined therapies such as acupuncture for the prevention and treatment of diseases through the regulation of immune cells and immune molecules as well as the regulation of the "acupuncture-meridian- neuroendocrine-immune" network.
Breastfeeding and Depression
Authors: Husada Abdillah
Published: September 2021

Pregnancy and postpartum depression frequently occurances, and that depressed women at pregnancy are usually depressed at the postpartum period. A literature review was conducted in the electronic databases PubMed and Google Scholar using the index terms “breast feeding” and “pregnancy depression” and “postpartum depression”, and “hormones”. Two investigators independently evaluated the titles and abstracts in a ﬁrst stage and the full text in a second stage review. All types of studies were included for this study, such as randomized controlled trials, systematic reviews, literature reviews, and pilot studies published between 2010 and 2021. This search resulted in 12 papers. The literature consistently shows that breastfeeding provides a wide range of beneﬁts for both the child and the mother. The psychological beneﬁts for the mother are still in need of further research. Breastfeeding can promote hormonal processes that protect mothers against postpartum depression by attenuating cortisol response to stress. However, the mother whom giving birth then directly breastfeeding their child, will reduce the mothers stress.
Depression in Amputation Patients
Authors: Prima Arazy Gifta
Published: September 2021

Amputation alters the quality of life with an undeniable negative somatic and functional impact. The patient’s general mobility is impaired and there is an increase in metabolic needs as well as pain and discomfort. Etiologies are quite diverse: essentially vascular pathologies (74%) for the lower limbs and trauma related (61%) for the upper limbs. Thus, an important number of patients have to face amputation-related consequences. Pain (stump, phantom limb, back pain) is frequently described in 65 to 75% of patients after an amputation as well as the common onset of major depressive disorders for 35% of them. With the incidence of depression after limb amputation increasing in the patients, we sought to summarize the management of depression in amputation patients.