bluuebunny/crossref_metadata_2025 huggingface dataset:
Molecular Characterization and Phylogenetic Analysis of Lumpy Skin Disease Virus Collected from Outbreaks in Northern Thailand in 2021
Authors: Singhla Tawatchai , Boonsri Kittikorn , Kreausukon Khwanchai , Modethed Wittawat , Pringproa Kidsadagon , Sthitmatee Nattawooti , Punyapornwithaya Veerasak , Vinitchaikul Paramintra
Published: April 2022

Understanding molecular epidemiology is essential for the improvement of lumpy skin disease (LSD) eradication and control strategies. The objective of this study was to perform a molecular characterization and phylogenetic analysis of lumpy skin disease virus (LSDV) isolated from dairy cows presenting LSD-like clinical signs in northern Thailand. The skin nodules were collected from 26 LSD-suspected cows involved in six outbreaks during the period from July to September of 2021. LSDVs were confirmed from clinical samples using the polymerase chain reaction (PCR). The PCR-positive samples were subsequently amplified and sequenced using a G-protein-coupled chemokine receptor (GPCR) gene for molecular characterization and phylogenetic analyses. All 26 samples were positive for LSDV by PCR. A phylogenetic analysis indicated that the 24 LSDV isolates obtained from cattle in northern Thailand were closely related to other LSDV sequences acquired from Asia (China, Hong Kong, and Vietnam). On the other hand, two LSDV isolates of the cows presenting LSD-like clinical signs after vaccination were clustered along with LSDV Neethling-derived vaccines. The outcomes of this research will be beneficial in developing effective control strategies for LSDV.
Pet Owners’ Perceptions of COVID-19, Zoonotic Disease, and Veterinary Medicine: The Impact of Demographic Characteristics
Authors: Powell Lauren , Lavender Tyler M. , Reinhard Chelsea L. , Watson Brittany
Published: April 2022

This study aimed to investigate the impact of sociodemographic characteristics on pet owners’ concern about the transmission of zoonotic disease and SARS-CoV-2, and to describe owners’ perceptions of veterinarians and physicians as resources for zoonoses information. Between September and October 2020, 1154 individuals completed an online survey via Qualtrics. Binary logistic regression models were used to examine the associations between owner demographics and perceptions of zoonoses and SARS-CoV-2. Most participants were minimally concerned about their pets contracting or transmitting zoonotic diseases or SARS-CoV-2, although perceptions of risk differed based on age, race, and education. Older participants were typically less concerned about the transmission of zoonotic diseases and SARS-CoV-2. Considering where participants obtained information about zoonoses, pet owners were more likely to contact their veterinarian for advice (43%) than their physician (17%). However, 17% of pet owners struggled to access veterinary care, and 51% said their access to veterinary care had become more difficult during the COVID-19 pandemic. Our findings highlight a need for further education about zoonoses and SARS-CoV-2, and suggest veterinarians may play a key role in these communications. The results also emphasize the need to address access to care issues in veterinary medicine.
Short−Term Assessment of Heavy Metals in Surface Water from Xiaohe River Irrigation Area, China: Levels, Sources and Distribution
Authors: Meng Zhilong , Bai Xinru , Tang Xiuli
Published: April 2022

The aims of this study were to determine the pollution characteristics of heavy metals and their potential harm to human health in the surface water of agricultural irrigation areas, China, over a short term. In this study, Cu, Zn, Pb, Hg, Ni, Cr, Cd, and As in surface water of the Xiaohe River irrigation area were detected and analyzed. The results showed that the concentrations of Pb, Hg, Ni, Cr, Cd, and As exceeded the national environmental quality standard for surface water in varying degrees. The concentrations of heavy metals in surface water in October were significantly lower than that in November and December due to the impact of extreme precipitation events. Point source pollution (industrial sewage, etc.) was the main factor affecting the spatial distribution of heavy metals. The main source of heavy metals in October was domestic sewage. Domestic sewage and industrial sewage were the main sources of heavy metals in November. The sources of heavy metals in surface water in December were relatively diverse, and industrial sewage was the main source. The temporal variation of heavy metal pollution sources changed significantly. Industrial sewage was the main pollution source of heavy metals in surface water in the study area. The impact of urban domestic sewage and agricultural activities cannot be ignored. The health risk of heavy metals in surface water mainly depends on Cr, Cd, and As. Policy recommendations were also proposed for better control of heavy metal pollution in the surface water of river ecosystems involving agricultural irrigation areas.
Induced Circulation by Plunging and Submerged Jets in Circular Water Storage Tanks Using CFD
Authors: Martins Nuno M. C. , Covas Dídia I. C.
Published: April 2022

Water circulation in storage tanks significantly impacts water quality in distribution networks since old water tends to have low residual chlorine concentrations that are insufficient to neutralize microbial regeneration. Their large capacity and long residence times result in uneven mixing, which can accelerate the disinfectant decay and the formation of potentially carcinogenic disinfection by-products. The phenomenon is strongly related to the tank inflow conditions, since there are no active mixing devices. This paper presents a comprehensive analysis of the flow dynamics in circular storage tanks using a three-dimensional computational fluid dynamics model. The main motivation is that the inflow—which mixing processes rely on—strongly influences the circulations. The numerical analysis provided includes a thorough investigation of interest in understanding flow dynamics for two inflow configurations: (i) the plunging jet modelling and comparison with published experimental data and (ii) the submerged jet as an improvement measurement for these storage tanks.
Climate Change and Human Impact on Freshwater Water Resources: Rivers and Lakes
Authors: Wrzesiński Dariusz , Sobkowiak Leszek
Published: April 2022

In this Special Issue, we have included articles focusing on disturbances of hydro-ecological conditions and availability of water resources stored in rivers and lakes due to climate change and human activity [...]
Hydrological Scenarios and Malaria Incidence in the Amazonian Context
Authors: Fonseca Fernanda , Worfarth-Couto Bruna , Santos Andre , Marinho Rogério , Martinez Jean-Michel , Filizola Naziano
Published: April 2022

In Brazil, approximately 99% of malaria cases are concentrated in the Amazon region. An acute febrile infectious disease, malaria is closely related to climatic and hydrological factors. Environmental variables such as rainfall, flow, level, and color of rivers, the latter associated with the suspended sediment concentration, are important factors that can affect the dynamics of the incidence of some infectious diseases, including malaria. This study explores the possibility that malaria incidence is influenced by precipitation, fluctuations in river levels, and suspended sediment concentration. The four studied municipalities are located in two Brazilian states (Amazonas and Pará) on the banks of rivers with different hydrological characteristics. The results suggest that precipitation and river level fluctuations modulate the seasonal pattern of the disease and evidence the existence of delayed effects of river floods on malaria incidence. The seasonality of the disease has a different influence in each municipality studied. However, municipalities close to rivers with the same characteristic color of waters (as a function of the concentration of suspended sediments) have similar responses to the disease.
Monitoring the Process of Anaerobic Digestion of Native and Microwave Pre-Treated Sludge by Dielectric and Rheological Measurements
Authors: Jákói Zoltán , Hodúr Cecilia , Beszédes Sándor
Published: April 2022

The anaerobic digestion (AD) of wastewater sludge presents a promising and efficient method of wastewater and sludge treatment, as it can lower the organic content of sludge while producing a renewable source of energy—biogas—at the same time. However, using native, non-treated industrial wastewater sludge as a substrate for AD may present difficulties, hence we focused our research primarily on the applicability of measuring techniques—viscosity and dielectric measurement. One of our research goals was to investigate the presence of any connection between the aforementioned properties and the overall biogas production, in order to prove whether these measurement techniques were capable of monitoring the process of AD. Our other aim was to investigate how microwave (MW) pre-treatment affected the anaerobic fermentation. Our results revealed that in terms of total biogas yield, microwave irradiation could enhance fermentation by 14%, and also reduced the viscosity of the fermentation media by 13%. However, microwave irradiation did not change the overall tendencies of the AD process regarding these aspects. Moreover, it was discovered that dielectric and absolute viscosity measurements were effective methods for monitoring the fermentation. Additionally, a correlation was found between the accumulating biogas yield, the dielectric constant and loss factor, and the absolute viscosity of the digested media—each of these share a similarity in tendency and can indicate the occurrence of different phases during batch anaerobic fermentation.
The Impacts of Different Anthropogenic Disturbances on Macroinvertebrate Community Structure and Functional Traits of Glacier-Fed Streams in the Tianshan Mountains
Authors: Liu Yuwei , Tian Yilin , Gao Yingzhi , Cui Dong , Zhang Wei , Jiao Ziwei , Yao Fulong , Zhang Zhenxing , Yang Haijun
Published: April 2022

Macroinvertebrates are sensitive to environmental disturbances, however, the effects of human activities on macroinvertebrate community structures and functional traits in glacier-fed streams are concerning. To elucidate the effects of horse, cattle and sheep grazing, hot spring scenic development, and historic iron ore mine development on macroinvertebrate communities, we conducted a study in three glacier-fed streams of the Tianshan Mountains in northwest China in April 2021. Our results showed that the species richness and density significantly decreased due to grazing (p < 0.05). There were more taxa with resilience traits such as “small size at maturity” in the grazing stream. The EPT richness and density affected by hot spring scenic development significantly decreased compared to the undisturbed point (p < 0.05). There was a significant increase in taxa with resistance traits such as “bi-or-multivoltine” in the hot spring stream. The stream affected by historic mine development is currently in the self-recovery stage following the closure of the mine ten years ago. Additionally, the species richness, EPT richness, and density at the mining site were significantly higher than the source site (p < 0.05), reflecting that the habitat fragmentation caused by previous mining activities prevented the upward dispersal of macroinvertebrates. The taxa in the mining stream were also characterized by higher resistance traits such as “abundant occurrence in drift”. These results were attributed to the impacts of human disturbance on habitat stability, habitat heterogeneity, water quality, and material cycling of stream ecosystems, indicating human disturbance on the efficiency of resource utilization and functional diversification. In addition, our results showed that functional indicators of macroinvertebrate communities are helpful for monitoring and evaluating habitat conditions.
An Improved Transfer Learning Model for Cyanobacterial Bloom Concentration Prediction
Authors: Ni Jianjun , Liu Ruping , Li Yingqi , Tang Guangyi , Shi Pengfei
Published: April 2022

The outbreak of cyanobacterial blooms is a serious water environmental problem, and the harm it brings to aquatic ecosystems and water supply systems cannot be underestimated. It is very important to establish an accurate prediction model of cyanobacterial bloom concentration, which is a challenging issue. Machine learning techniques can improve the prediction accuracy, but a large amount of historical monitoring data is needed to train these models. For some waters with an inconvenient geographical location or frequent sensor failures, there are not enough historical data to train the model. To deal with this problem, a fused model based on a transfer learning method is proposed in this paper. In this study, the data of water environment with a large amount of historical monitoring data are taken as the source domain in order to learn the knowledge of cyanobacterial bloom growth characteristics and train the prediction model. The data of the water environment with a small amount of historical monitoring data are taken as the target domain in order to load the model trained in the source domain. Then, the training set of the target domain is used to participate in the inter-layer fine-tuning training of the model to obtain the transfer learning model. At last, the transfer learning model is fused with a convolutional neural network to obtain the prediction model. Various experiments are conducted for a 2 h prediction on the test set of the target domain. The results show that the proposed model can significantly improve the prediction accuracy of cyanobacterial blooms for the water environment with a low data volume.
Runoff Reduction Effects at Installation of LID Facilities under Different Climate Change Scenarios
Authors: Lee Seungwook , Kim Daye , Maeng Seungjin , Azam Muhammad , Lee Bongguk
Published: April 2022

In order to prepare for floods and droughts that occur as a result of climate change, various studies in water-related fields are being carried out in various countries around the world. Among them, special attention is being paid to the low-impact development (LID) technique. This study measured the annual maximum daily rainfall data from 2019 to 2100 by climate change scenario, which is the annual maximum daily rainfall series observed for rainfall stations, and tested the hydrological data using statistical analysis. After determining whether the data could be analyzed, the probability distribution was selected, and the parameters of the selected probability distribution were calculated using the L-moment method for each rainfall station. The probabilities of rainfall data were derived using GEV distribution, and the United States Environmental Protection Agency Storm Water Management Model (SWMM), a runoff simulation program, was used to compare and analyze the runoff reduction rate before and after the installation of a permeable pavement as an LID facility. The results of the analysis showed that representative concentration pathway (RCP) 4.5 and RCP 8.5 had the effect of reducing the runoff for more than 100 years at a 30% reduction rate compared with before installation.
A Simple Scaling Analysis of Rainfall in Andalusia (Spain) under Different Precipitation Regimes
Authors: Casas-Castillo María del Carmen , Rodríguez-Solà Raül , Llabrés-Brustenga Alba , García-Marín Amanda Penélope , Estévez Javier , Navarro Xavier
Published: April 2022

A simple scaling analysis was performed in Andalusia (Spain) using daily records from 377 selected stations covering the temporal period between 1870 and 2018. Since Andalusia is a region of considerable climatic variety, with notably wet areas as well as extremely dry zones, this study is useful to investigate the relationship between the simple scaling parameter value and the characteristic rainfall regime of a place. Despite the great correspondence with the average annual precipitation (PRCPTOT), a clear dependence on rainfall irregularity was observed, revealed by the ratio of the maximum daily precipitation and PRCPTOT, as well the wet spells frequency index CWD. The spatial distribution of the simple scaling parameter captured the increasing influence of the Mediterranean Sea towards the East. The easternmost dry areas are clearly influenced by Mediterranean disturbances, with a high proportion of convective rainfall and an irregular rainfall pattern. Using a simple scaling parameter, the generalized equations of the intensity-duration-frequency (IDF) curves, of great hydrological interest were calculated for the eight Andalusian provincial capitals. Moreover, the temporal trends of this parameter in the four past decades were studied in the different areas with the aim of determining if changes in their rainfall patterns due to global warming could be detected.
Numerical Simulation of Turbulent Flow in Bends and Confluences Considering Free Surface Changes Using the Volume of Fluid Method
Authors: Shaheed Rawaa , Mohammadian Abdolmajid , Yan Xiaohui
Published: April 2022

The impact of secondary flows on the flow velocity in open channel bends and confluences was simulated using three-dimensional (3D) numerical models. The Reynolds-averaged Navier–Stokes equation system was utilized as the governing equations and two different turbulence models were employed in this study: the standard k-ε model and the realizable k–ε model. In a recent study by the authors, the rigid lid approach was used, which does not allow for vertical displacement of the water surface. In this study, the simulation of free surface displacements was simulated using the volume of fluid free-surface tracking method. The numerical models were evaluated and validated by using the experimental data of a sharply curved channel and a confluent channel. The accuracies of the two turbulence models were evaluated and discussed. This study found that both models can satisfactorily reproduce the experimental data. However, the standard k–ε model performed better for the curved channel case while the Realizable k–ε model performed better for the confluent channel case.
Coherent Structures at the Interface between Water Masses of Confluent Rivers
Authors: Lyubimova T. P. , Lepikhin A. P. , Parshakova Ya N. , Bogomolov A. V.
Published: April 2022

The paper presents the results of field measurements and numerical modeling of the influence of various factors on the formation of coherent structures in the confluence zone of the Sylva and Chusovaya rivers, which are dammed by the Kamskaya Hydroelectric Power Station (HPS). A characteristic feature of the measured parameters in the zone under study is that they experience both seasonal fluctuations and fluctuations of much higher frequency associated with intraday regulation of the HPS operation. These intraday fluctuations give rise to coherent structures with periodicity T~2–10 min, which manifest themselves in the fluctuations of the specific electrical conductivity of water. The flow velocity also experiences significant fluctuations with a sufficiently wide frequency spectrum, although the characteristic period of its fluctuations is less than the period of electrical conductivity fluctuations and is equal to ~1 min. In order to study the features of the formation of such structures, numerical simulation was carried out within the framework of the three-dimensional approach. Calculations were performed for a 300-meter-long stretch of the Chusovaya River, which is located downstream of the confluence of Chusovaya and Sylva rivers and is the site of the Chusovskoy water intake of Perm city. It was found that the intraday irregularity of HPS operation gives rise to the occurrence of vortex structures in this layer, leading to the temporal variation of concentration at a given point of space and the formation of the wave structure of the concentration field at different moments of time. Time period and spatial scale of such vortex structures depend on the ratio of velocities of water masses and difference in their mineralization and, accordingly, in densities. Moreover, the period of fluctuations is proportional to the ratio of flow velocities. These estimations are of fundamental importance for the implementation of stable selective intake of water with required consumer properties under conditions of intraday irregularity of hydroelectric power station operation.
Peak Spring Flood Discharge Magnitude and Timing in Natural Rivers across Northern Finland: Long-Term Variability, Trends, and Links to Climate Teleconnections
Authors: Irannezhad Masoud , Ahmadian Saghar , Sadeqi Amin , Minaei Masoud , Ahmadi Behzad , Marttila Hannu
Published: April 2022

In northern regions, like Finland, peak river discharge is principally controlled by maximum snowmelt runoff during spring (March–May). Global warming and climate change extensively influence both the quantity and temporal characteristics of peak discharge in northern rivers by altering snowpack accumulation and melt processes. This study analyzed peak spring flood discharge (PSFD) magnitude (PSFDM) and timing (PSFDT) in four natural rivers (Simojoki, Kuivajoki, Kiiminkijoki, and Temmesjoki) across northern Finland, in terms of long-term (1967–2011) variability, trends, and links to large-scale climate teleconnections. The PSFDM significantly (p < 0.05) declined in the Simojoki, Kuivajoki, and Kiiminkijoki rivers over time. Both the Simojoki and Kuivajoki rivers also experienced significant decreasing trends of about −0.33 and −0.3 (days year−1), respectively, in the PSFDT during 1967–2011. In these two rivers, the less and earlier PSFDs were principally attributable to the warmer spring seasons positively correlated with the North Atlantic Oscillation (NAO) in recent decades. Moreover, daily precipitation time series corresponding to the PSFD events showed no considerable effects on PSFDM and PSFDT changes in all the natural rivers studied. This suggests that less and earlier historical PSFDs in natural rivers at higher latitudes in northern Finland were primarily induced by warmer springtime temperatures influencing snowpack dynamics.
Identification of Key Factors for Urban—Industrial Water Reuse: A Multi-Criteria Analysis Case Study
Authors: Isaac Ricardo , Viaro Vivien , Fonseca Camila , Mânica Alana
Published: April 2022

The industrial reuse of existing municipal wastewater treatment plant (WWTP) effluent can play a major role in improving water security in urbanized regions facing scarcity. As the complexity of engineered direct water reuse is related to various economic, technical, legal, social, environmental, and public health aspects, multi-criteria analysis (MCA) is a feasible decision-making tool in this context. The present work aimed to establish the relevant key factors for the application of MCA, wherever plant planning, design, and construction did not previously consider reuse practices. The adopted methodology considers the proposition and valuation of key criteria, based on the existing literature, expert consultations, statistical analysis, and the application of MCA to a real municipal WWTP located in Campinas city (São Paulo State, Brazil). The 13 proposed criteria encompass multiple categories, and their relevance is demonstrated, given the high significance frequencies assigned. The best values are related to effluent quality, health risks, and treatment reliability, in addition to environmental costs and benefits. The application of those criteria in Cooperative Game Theory (CGT) and Compromise Programming (CP) methods is proved to be suitable, considering the characteristics of the studied area (i.e., highly urbanized with a history of water scarcity). Among nine surveyed end-users, the first position in the hierarchy corresponds to the largest industries with the shortest distance from the WWTP.
Development of an Intelligent Urban Water Network System
Authors: Joseph Kiran , Sharma Ashok K. , van Staden Rudi
Published: April 2022

Water and wastewater services have been provided through centralised systems for more than a century. The operational and management approaches of the water systems face challenges induced by population growth, urbanisation, and ageing infrastructure. Recent advancements in water system engineering include the development of intelligent water networks. These intelligent networks address management and operational challenges associated with pressure and flow variations in the water network and it reduces the time for identification of pipe bursts and leakages. Research is required into the development of intelligent water networks to ensure consistent data collection and analysis that can filter and aggregate into actionable events to reduce water leakage, leakage cost, customer disruptions, and damages. Implementation of an intelligent algorithm with an integrated Supervisory Control and Data Acquisition (SCADA) system, high-efficiency smart sensors, and flow meters, including a tracking mechanism, will significantly reduce system management and operational issues and ensure improved service delivery for the community. This paper discusses the history of water systems, traditional water supply systems, need for intelligent water network, and design/development of the intelligent water networks. A framework for the intelligent water network has also been presented in this paper.
A Hybrid Prediction Framework for Water Quality with Integrated W-ARIMA-GRU and LightGBM Methods
Authors: Zhou Shenghan , Song Chaofei , Zhang Jingjing , Chang Wenbing , Hou Wenkui , Yang Linchao
Published: April 2022

Water is the source of life, and in recent years, with the progress in technology, water quality data have shown explosive growth; how to use the massive amounts of data for water quality prediction services has become a new opportunity and challenge. In this paper, we use the surface water quality data of an area in Beijing collected and compiled by Zhongguancun International Medical Laboratory Certification Co., Ltd. (Beijing, China). On this basis, we decompose the original water quality indicator data series into two series in terms of trend and fluctuation; for the characteristics of the decomposed series data, we use the traditional time series prediction method to model the trend term, introduce the deep learning method to interpret the fluctuation term, and fuse the final prediction results. Compared with other models, our proposed integrated Wavelet decomposition, Autoregressive Integrated Moving Average (ARIMA) and Gated Recurrent Unit (GRU) model, which is abbreviated as the W-ARIMA-GRU model, has better prediction accuracy, stability, and robustness for three conventional water quality indicators. At the same time, this paper uses the ensemble learning model LightGBM for the prediction of water quality evaluation level, and the accuracy and F1-score reached 97.5% and 97.8%, respectively, showing very strong performance. This paper establishes a set of effective water quality prediction frameworks that can be used for timely water quality prediction and to provide a theoretical model and scientific and reasonable analysis reference for the relevant departments for advanced control.
Mechanistic Insight into Degradation of Cetirizine under UV/Chlorine Treatment: Experimental and Quantum Chemical Studies
Authors: Zhu Boyi , Cheng Fangyuan , Zhong Wenjing , Qu Jiao , Zhang Ya-nan , Yu Hongbin
Published: April 2022

UV/chlorine treatment is an efficient technology for removing organic pollutants in wastewater. Nevertheless, degradation of antihistamines in the UV/chlorine system, especially the underlying reaction mechanism, is not yet clear. In this study, the degradation of cetirizine (CTZ), a representative antihistamine, under UV/chlorine treatment was investigated. The results showed that CTZ could undergo fast degradation in the UV/chlorine system with an observed reaction rate constant (kobs) of (0.19 ± 0.01) min−1, which showed a first-increase and then-decrease trend with its initial concentration increased. The degradation of CTZ during the UV/chlorine treatment was attributed to direct UV irradiation (38.7%), HO• (35.3%), Cl• (7.3%), and ClO• (17.1%). The kobs of CTZ decreased with the increase in pH and the increase in concentrations of a representative dissolved organic matter, Suwannee River natural organic matter (SRNOM), due to their negative effects on the concentrations of reactive species generated in the UV/chlorine system. The detailed reaction pathways of HO•, ClO•, and Cl• with CTZ were revealed using quantum chemical calculation. This study provided significant insights into the efficient degradation and the underlying mechanism for the removal of CTZ in the UV/chlorine system.
Microplastics in Water Bodies and in the Environment
Authors: Karapanagioti Hrissi K. , Kalavrouziotis Ioannis K.
Published: April 2022

Nowadays, plastics and microplastics, along with nanoplastics, are pollutants of emerging concern [...]
Development of a Water-Pricing Model for Domestic Water Uses in Dhaka City Using an IWRM Framework
Authors: Kashem Sumaia , Mondal M. Shahjahan
Published: April 2022

Dhaka city is experiencing high water use and rapid declination of groundwater. The current water price in the city is low and based on a uniform rate. To arrest the resource degradation along with pursuing cost recovery and promoting social equity, this paper develops a new pricing model for domestic water uses using the integrated water resources management principles. The development is accomplished through estimation of domestic water usage, evaluation of current water prices, and assessment of groundwater degradation externalities in the Tejgaon area of the city using both primary and secondary data. Two economic and two environmental externalities are incorporated. The model is based on an increasing block tariff strategy, and the estimated unit prices for the first and second blocks are respectively 5% and 75% higher than the existing price. The model has the potential to reduce the domestic water use in the city by up to 27%, increase the revenue for the Dhaka Water Supply and Sewerage Authority by up to 75%, and reduce the water bill for poor households by up to 67%. The model has a great potential for practical deployment and the concept can also be applied to other cities and water uses.
PELATIHAN PENGELOLAAN USAHA DENGAN TEKNIK PEMASARAN MARKETPLACE DI DESA JAMBUGEULIS KECAMATAN CIGANDAMEKAR KABUPATEN KUNINGAN
Authors: Sugiharto Tito , Herwanto Heri , Krisdiawan Rio Andriyat , Kurniadi Erik
Published: April 2022

Jambugeulis Village is one of the villages in Kuningan Regency whose people generally have a livelihood as farmers and day laborers. Apart from being farmers and daily laborers, the people of Jambugeulis village also have jobs as traders and home-made food makers. There are several types of home-cooked food produced by the people of Jambugeulis village, including moring (a type of small cracker made from tapioca flour), cassava tape food, and cuhcur cake. The people of Jambugeulis village in the process of marketing traditional food products still use conventional methods, namely by selling products directly to consumers and in collaboration with traditional food gift shops. The conventional sales process has several shortcomings/weaknesses including the marketing process of traditional food products is still limited only in Kuningan Regency, the profit of the Jambugeulis village community is slightly reduced from the normal selling price due to a reduction in distribution costs. The difficulty of access for consumers from outside the Kuningan Regency to buy/obtain traditional food products from Jambugeulis village. With this fact, the author feels compelled to carry out business management training with marketplace techniques by utilizing the latest developments in information technology. The methods implemented in this community service activity are the Lecture method, the Question and Answer method, and the Simulation method. From the results of the activities that have been carried out, participants are very enthusiastic about participating in the activities and understand the importance of business management by utilizing marketpalce.

Key words: Training, business management, marketplace, Jambugeulis village
PELATIHAN MENDELEY DAN TEKNIK ANALISIS DATA DENGAN EVIEWS
Authors: Nurisman Husain , Sampurna Dian Surya , Nuryati Tutty , Santoso Joko Bagio , Aminoto Toto , Purwo Bagus Styoko
Published: April 2022

Pengabdian Kepada Masyarakat (PKM) is one of the three dharmas of university education, or the major responsibility of lecturers. This PKM activity is open to students completing their last year at private universities. PKM activities include the evaluation of "Mendeley Training and Data Analysis Techniques." PKM activities will take place online via the media zoom on July 31, 2021, from 8:00 a.m. to 12:00 a.m. WIB. The implementation team for this activity is led by a lecturer from STIE Indonesia in Rawamangun, East Jakarta, and comprises lecturers from the State University of Jakarta (UNJ). This activity is intended for students completing their last year at private universities who match the following criteria: There were 111 participants representing 24 universities from DKI Jakarta, West Java, Surabaya, Semarang, Yogyakarta, Padang, Bangka Belitung, Jember, and Samarinda. This community service activity (PKM) produces the following outputs: (1) Improving students' understanding of the thesis preparation process; (2) Improving students' understanding of the structure and proper citation of reference sources; and (3) Improving students' capacity to interpret research findings.

Key words: pengabdian kepada masyarakat, microsoft word, mendeley, eviews
A Multilocus Phylogeny of Daphniphyllum (Daphniphyllaceae)
Authors: Tang Mo-Shih , Tsai† Chi-Chu , Yang Yuen-Po , Sheue Chiou-Rong , Liu Shih-Hui
Published: April 2022

The monogeneric Daphniphyllaceae contain 36 taxa in the genus Daphniphyllum Blume that are endemic to Southeast Asia. Daphniphyllum is a morphologically homogeneous group of evergreen shrubs to trees divided into three sections: Daphniphyllum, Lunata T. C. Huang, and Staminodia Hurusawa. While the medicinal value of the Daphniphyllaceae has been explored in many studies, the understanding of their evolutionary history and infrageneric classification is still limited. To test the infrageneric classification and to examine evolutionary and classification hypotheses proposed by previous taxonomic studies, we reconstructed multilocus phylogenies by sampling 55.6% (= 20/36) of taxa in the genus based on both chloroplast (psbA-trnH spacer and trnL intron) and nuclear ITS (ITS1, 5.8S rDNA, and ITS2) regions. Our data do not support the monophyly of the three sections. Our results indicate that some hybridization events might have occurred in the evolutionary history of the genus. Moreover, our results support the classification hypotheses of D. glaucescens Blume in a strict sense but not in a broad sense. In addition, we elevate D. ×lanyuense (T. C. Huang) M. S. Tang, S. H. Liu & Yuen P. Yang, stat. nov., from varietal rank to species based on our results. Two putative natural hybrids, D. ×lanyuense and D. teijsmannii Zoll. ex Teijsm. & Binn., and their putative parental taxa are also revealed in our study. In sum, our results shed new insights into the sectional scope and understanding of evolutionary relationships among taxa in Daphniphyllum.
PENGARUH MODEL PEMBELAJARAN STUDENT TEAMS ACHIEVEMENT DIVISION (STAD) DAN GAYA BELAJAR TERHADAP HASIL BELAJAR GEOGRAFI DI SMA
Authors: Azizah Dewi Nur
Published: April 2022

STAD is one of learning model that motivate student to support each other in understanding materials given by teacher. However, another factor which is affecting learning result is student’s character. In this case, learning style as one of student’s characteristic is expected affecting learning result. This research is aimed to know influence of STAD model, Learning Style, and interaction between STAD model and learning style on learning result. Hypothesis is formulated as: (1) STAD model influences learning result; (2) learning style influence learning result; (3) No influence between STAD model and learning style toward learning result. This research was designed using Quasi Experiment, with factorial design 2 x 3. Research subject was consist of two classes that X2 as control class and X4 as experiment class. Research variable was consist of: (1) student’s learning result as tied variable; (2) STAD learning model as free variable; and (3) learning style as moderator variable. student’s learning result was measured by test. however, learning style was measured by questionnaire. Data resulted then were analyzed using two way ANOVA with SPSS 16.00 for windows. Analysis resulted by two way anova was showing that: (1) STAD model influenced learning result; (2) learning style influenced learning result; (3) no influence found in interaction between STAD model and learning style toward learning result. Conclusions of this research were: (1) STAD model had effected learning result; (2) learning style had affected learning result; and (3) no influence found between STAD model and learning style toward learning result. It is recommended for geography teacher applying STAD model and more concerning on student’s learning style because it has effect on student’s learning result. For researchers it is suggested to applied in other subjects.
Pelatihan Deteksi Dini Attention Deficit Hyperactivity Disorder (ADHD) pada Guru KB-TK Labschool Unesa
Authors: Satwika Yohana Wuri , Satiningsih  , Siti Ina Savira  , Miftakhul Jannah  , Ira Darmawanti
Published: April 2022

ADHD (Attention Deficit Hyperactivity Disorder) is a medical disorder that can be recognized by specific behavioral characteristics, namely inattention to surroundings, easily distracted condition, and an attitude of following one's own will. Children diagnosed with ADHD require special treatment so that their specificity can be fulfilled. Teacher knowledge about ADHD is an important thing in order to detect and provide the right educational model for students. The implementation of this training in community service uses modules and early detection tools for ADHD children or students. The purpose of this activity is so that teachers can identify the condition of their students whether any of these students lead to the characteristics of ADHD. Based on the results of the post-test and case discussions, the teachers at the beginning of the activity stated that they were still confused about the condition of their students so that they understood the situation of their students more clearly. The teachers also stated that they more clearly see the condition of the students they work with in class, especially for students who have a tendency to ADHD.
 
ADHD (Atention Deficit Hiperactivity Disorder) adalah kelainan medis yang dapat dikenali dengan ciri-ciri perilaku khusus sikap kurang memperhatikan sekeliling, kondisi mudah terganggu, dan sikap mengikuti kemauannya sendiri. Anak yang terdeteksi  ADHD membutuhkan penanganan yang khusus agar kekhususannya dapat terpenuhi. Pengetahuan guru tentang ADHD menjadi sebuah hal yang penting dalam rangka mendeteksi dan memberikan model pendidikan yang tepat bagi siswa. Pelaksanaan pelatihan dalam pengabdian kepada masyarakat ini  ini menggunakan modul dan alat deteksi dini untuk anak/ siswa ADHD. Tujuan kegiatan ini  adalah agar para guru dapat mengenali kondisi siswa mereka apakah ada dari para siswa tersebut yang mengarah kepada ciri-ciri ADHD. Berdasarkan hasil pre test post test dan diskusi kasus, para guru yang diawal kegiatan menyatakan masih bingung mengenai kondisi siswa mereka menjadi lebih memahami keadaan siswa mereka secara lebih jelas. Para guru juga menyatakan mereka lebih jelas melihat kondisi siswa yang mereka tangani di kelas terutama untuk siswa yang memiliki kecenderungan ADHD.
User experience pada Implementasi Virtual Reality sebagai Media Pembelajaran Anak Pengidap Autisme
Authors: Soraya Isabella Dea Ismy , Martono Kurniawan Teguh , Eridani Dania
Published: April 2022

Anak pengidap autisme memiliki respon yang kurang terhadap stimulus yang datang dari orang lain atau keadaan yang ada disekitarnya sehingga anak sulit untuk menerima informasi dari guru tentang bagaimana untuk melakukan keterampilan perawatan diri dibandingkan dengan anak normal seusianya. Maka dari itu dibutuhkan media pembelajaran untuk melatih keterampilan anak pengidap autisme dalam perawatan diri. Disisi lain, pengoptimalan teknologi VR sebagai media pembelajaran tentang perawatan diri untuk anak pengidap autisme masih jarang. Metode HCD ini digunakan dalam pembuatan User experience pada VR sebagai media pembelajaran untuk anak pengidap autisme. Alur penelitian yang dilakukan dimulai dari studi literatur, analisis konteks penggunaan, analisis kebutuhan user, pembuatan desain solusi, evaluasi desain solusi, hasil dan kesimpulan. User experience Questionnaire (UEQ) dipilih sebagai alat ukur dan evaluasi user experience aplikasi karena UEQ memungkinkan penilaian yang cepat dari sebuah produk dan sudah tersedia data analisys tools. Hasil penelitian yang diadakan di SLB Negeri Semarang dan SLB Putra Mandiri menunjukkan nilai rata-rata yang diperoleh dari hasil evaluasi user experience aplikasi menggunakan UEQ yaitu pada Attractiveness sebesar 1,41, Perspicuity sebesar 1,80, Efficiency sebesar 1,28, Dependability sebesar 1,80, Stimulation sebesar 1,49, Novelty sebesar 1,39, dan dapat dikatakan bahwa desain menurut skala UEQ memiliki user experience yang positif karena semua skala diatas 0.8.
Rancang Bangun Puzzle al-Quran Elektronik Mengunakan Mikrokontroler dan Modul Suara DFR0299
Authors: Hidayat Hidayat , Hayat Mustopa Nur
Published: April 2022

Paper ini memaparkan perancangan sebuah perangkat puzzle al-Quran elekronik yang dapat digunakan untuk pengenalan al-Qurâ€™an pada anak usia dini melalui permainan puzzle. Permainan puzzle sendiri dibedakan pada puzzle manual dan permainan puzzle elektronik. Kedua jenis permainan puzzle manual maupun permainan elektronik memiliki kelemahan tersendiri. Permainan puzzle manual tidak memiliki sistem pengoreksian puzzle untuk menilai benar atau tidak setiap potongan puzzle yang dipasang jika bentuk puzzle memiliki bentuk yang sama. Sedangkan permainan puzzle elektronik yang menggunakan perangkat komputer atau pun perangkat smartphone dapat mengurangi pergerakan motorik fisik seperti halnya pada permainan puzzle manual. Metoda yang digunakan adalah metoda eksperimen dengan melakukan percobaan-percobaan pada setiap rangkaian elektronik yang digunakan. Perangkat yang dibangun adalah permainan puzzle manual yang dilengkapi perangkat elektronik agar dapat memberikan koreksi pada saat terjadi kesalahan pemasangan puzzle. Perangkat elektronik yang dibangun terdiri mikrokontroler sebagai pengolah data, modul suara DFR0299 sebagai modul yang berfungsi untuk menjalankan dokumen suara serta LCD dan LED sebagai penampil panduan permainan puzzle. Hasil perancangan menunjukkan perangkat yang dirancang telah berfungsi dengan baik. Setiap puzzle surat al-Qurâ€™an yang disusun dapat melantunkan suara surat yang dipilih.
Implementasi Analytic Network Process untuk Penentuan Tempat Pembuangan Akhir
Authors: Windarto Yudi Eko , Windasari Ike Pertiwi , Winarto Oki
Published: April 2022

Perkembangan gaya hidup memiliki dampak negatif yaitu semakin banyak limbah yang dihasilkan setiap hari, tak terkecuali kondisi di Kabupaten Pemalang oleh karena itu diperlukan juga pengolahan limbah sampah yang baik dan efisien di Tempat Pembuangan Akhir. Proses pemilihan lokasi  Tempat Pembuangan Akhir itu merupakan salah satu aspek penting dan banyak hal yang harus diperhatikan. Untuk mendapatkan keputusan yang objektif dan akurat kini diperlukan pengolahan data komputerisasi dengan metode modern menggunakan sistem pendukung keputusan. Metode  yang digunakan di dalam sistem ini ialah Analytic Network Process atau disingkat menjadi ANP. Metode ini akan diimplementasikan pada pengolahan data untuk menentukan Tempat Pembuangan Akhir yang terbaik di suatu daerah dan akan ditampilkan secara visual menggunakan peta carto. Sistem ini akan  memberikan hasil peringkat dan gambaran daerah yang terbaik untuk dibangun sebuah Tempat Pembuangan Akhir pada suatu daerah. Sistem ini dibangun menggunakan bahasa pemrograman PHP dan database SQL.
Desafios, práticas e saberes sobre as cidades médias: um olhar a partir de Mato Grosso do Sul
Authors: Martinelli Silva Calixto Maria José , Alves Teles Glauciana
Published: April 2022

O que nasceu como uma tentativa de aproximar pesquisadores de diversas áreas, de mobilizar os membros do Conselho Editorial da SertãoCult na elaboração de um material que exprimisse a capacidade da editora em produzir obras com qualidade técnica e com relevância acadêmica, tornou-se um sucesso logo em sua primeira edição. Após o lançamento do volume Diálogos sobre a Ditadura, que reuniu alguns dos maiores pesquisadores sobre a temática no Brasil, a série Território Científico  chega ao seu segundo volume elaborado a partir de uma parceria com os profissionais ligados ao Seminário da Rede de Pesquisadores sobre as Cidades Médias (ReCiMe). Eis a obra “Trajetórias de pesquisadores e os estudos das cidades médias em perspectiva”. É gratificante concluirmos mais esta contribuição para a comunidade científica, apresentando as trajetórias de algumas das maiores referências da Geografia Urbana brasileira, que no contexto da pandemia da Covid-19 ficaram tão fisicamente distantes, mas nunca tão próximos, unidos através da tecnologia, que permitiu a troca de experiências com colegas de diferentes regiões do país. Passados alguns meses da realização das entrevistas, finalmente a pandemia dá mostras de arrefecimento. O isolamento que tanto nos custou, começa a dar lugar a reencontros presenciais e estas entrevistas, mais do que um relato de experiências de pesquisa, passam a compor um registro histórico de como a crise sanitária afetou toda a nossa sociedade. Se  a  produção  científica  segue  sendo  alvo  de  constantes  ataques  e aqueles que se dedicam a ela ainda são encarados quase como inimigos do Estado, é mais do que pertinente, mas necessário que todos aqueles que acreditam na educação, na ciência, no conhecimento se unam e abracem projetos que busquem aproximar essa produção e o público em geral. Mais um livro se junta à nossa série, nos deixando ainda mais orgulhosos e empenhados em nossa defesa incondicional da ciência. Que venham os próximos volumes!
ÉTICA NAS ORGANIZAÇÕES E SISTEMAS DE COMPLIANCE
Authors: dos Santos Correa Allan
Published: April 2022

With the advent of neoliberal policies and technological expansion, capitalism crisis became latent. Because of these facts, a deep interventional policy was necessary, which supported, above all, private business activities. This entire process showed how weak business structures are, given that, in most cases, there is a clear distance between the shareholders of a business society, with its leaders and administrators, making it necessary to install a true system of inspection and regulation, demonstrating the need for an implementation policy of Compliance programs, which aim to analyze and correct all existing acts in the company, so that society has the necessary security with the organization's business practices. In Brazil, these actions are still growing, which is presented in this work. Thus, this research aims to analyze managerial actions, demonstrating that it should focus on monitoring actions of new generations, making managers adapt to the new social reality. This work shows a bibliographic review about this topic, which proves to be a challenge for future generations.