bluuebunny/crossref_metadata_2025 huggingface dataset:
Consumption replaces charity: Altruistic consumption behaviors and motivations targeting vulnerable groups—Research based on poverty alleviation consumption in China
Authors: Xin Huiyu , Li Chenzhuoer , Li Wei , Wang Hong , Liu Ping , Li Shouwei
Published: August 2022

Poverty alleviation consumption, which we call altruistic consumption, has become a new effective way to help vulnerable groups, but there are a few empirical researches on poverty alleviation through consumption. This article takes China's poverty alleviation actions as the research object, investigates and studies the relationship between altruistic consumption motivations and altruistic consumption behaviors that aim for vulnerable groups. It is found that altruistic consumption behavior is mainly affected by benefit group motivation, benefit morality motivation, benefit demander motivation, and benefit supplier motivation. There is a correspondence between the four altruistic consumption motivations and the four altruistic consumption behaviors. The strength of altruistic consumption motivations changes with changes in altruistic buying behavior. The strength of benefit group motivation decreases with the increase in the times of altruistic purchases, while the strength of benefit morality motivation, benefit demander motivation, and benefit supplier motivation increase with the increase in the times of altruistic purchases. Among the four kinds of altruistic consumption motivations that affect the times of altruistic purchases, the benefit demander motivation has a relatively greater influence. The results of this study have important guiding significance for vulnerable groups to formulating targeted proactive marketing strategies, preventing the altruistic consumption relationship dissolution, and realizing sustainable altruistic consumption.
Strategy in talent systems: Top-down and bottom-up approaches
Authors: Taylor Jamie , MacNamara Áine , Taylor Robin D.
Published: August 2022

Building on a large volume of recent research in talent identification and development, this paper future directions for research and practice. We suggest that strategic coherence become a greater point of emphasis in both, with the Performance, Outcome and Process framework holding the potential to signal various markers of effectiveness. Secondly, greater recognition of the need to deploy limited resources where they promote movement toward these markers of effectiveness. Finally, we make recommendations for the operationalising of strategy in talent and performance systems by considering the integration of top down and bottom-up strategic processes.
A Prediction for the Conversion Performance of H2S to Elemental Sulfur in an Ionic-Liquid-Incorporated Transition Metal Using COSMO-RS
Authors: Mutalib Nor Fariza Abd , Bustam Mohamad Azmi , Wirzal Mohd Dzul Hakim , Idris Alamin
Published: August 2022

In the present study, the conversion performance of hydrogen sulfide (H2S) to elemental sulfur in ionic-liquid-incorporated transition metals (ILTMs) is predicted using a conductor-like screening model for realistic solvents (COSMO-RS). The predictions were made via the establishment of a correlation between the conversion performance and solubility of H2S in ionic liquids (ILs). All molecules involved were optimized at the DFT/TZVP/M06 computational level and imported on the COSMOtherm program at equimolar conditions. For validation purposes, the solubility of ILs was predicted at 1 bar pressure. Simple regression analysis was used to establish a relationship between the solubility and conversion performance of H2S. The results indicate that the solubility prediction of ILs is accurate (R2 = 93.40%) with a p-value of 0.0000000777. Additionally, the conversion performance is generally found to be dependent on the solubility value. Furthermore, 1-butyl-3-methylimidazolium chloride [bmim][Cl] was chosen as the base IL for incorporating the transition metal, owing to its solubility and selectivity to H2S. The solubility trend of ILTMs is found to follow the following order: [bmim][NiCl3] > [bmim][FeCl4] > [bmim][CoCl3] > [bmim][CuCl3]. According to the viscosity measurements of ILTMs, [bmim][NiCl3] and [bmim][FeCl4] exhibited the highest and lowest viscosity values, respectively. Therefore, [bmim][FeCl4] is a promising ILTM owing to its higher solubility and low viscosity for the application studied.
Effectiveness of Hydrogen Production by Bacteroides vulgatus in Psychrophilic Fermentation of Cattle Slurry
Authors: Kazimierowicz Joanna , Dębowski Marcin , Zieliński Marcin
Published: August 2022

H2 is a low-impact energy carrier, which the EU hydrogen strategy has positioned as a major component of energy policy. Dark fermentation by psychrophilic bacteria is a promising avenue of H2 production, though one that requires further study. The aim of this study was to determine the H2 production performance of a Bacteroides vulgatus strain during fermentation of psychrophilic cattle slurry. The test strain was isolated from an inland water body at a depth of 40 ± 5 m. The experimental fermentation process was run at 15 ± 1 °C and yielded 265.5 ± 31.2 cm3 biogas/g COD removed, including 46.9 ± 2.6 cm3 H2/g COD removed. CO2 was the main constituent of the resultant biogas, at 79.8 ± 1.9%. The gas also contained 17.6 ± 1.4% H2 and 2.3 ± 0.2% CH4. Organic matter removal and nutrient take-up from the feedstock were low. Our findings show that practical applicability of this process is hampered by multiple operational hurdles and its relatively poor performance.
The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States
Authors: Kearns Edward J. , Saah David , Levine Carrie R. , Lautenberger Chris , Doherty Owen M. , Porter Jeremy R. , Amodeo Michael , Rudeen Carl , Woodward Kyle D. , Johnson Gary W. , Markert Kel , Shu Evelyn , Freeman Neil , Bauer Mark , Lai Kelvin , Hsieh Ho , Wilson Bradley , McClenny Beth , McMahon Andrea , Chishtie Farrukh
Published: August 2022

The methodology used by the First Street Foundation Wildfire Model (FSF-WFM) to compute estimates of the 30-year, climate-adjusted aggregate wildfire hazard for the contiguous United States at 30 m horizontal resolution is presented. The FSF-WFM integrates several existing methods from the wildfire science community and implements computationally efficient and scalable modeling techniques to allow for new high-resolution, CONUS-wide hazard generation. Burn probability, flame length, and ember spread for the years 2022 and 2052 are computed from two ten-year representative Monte Carlo simulations of wildfire behavior, utilizing augmented LANDFIRE fuel estimates updated with all the available disturbance information. FSF-WFM utilizes ELMFIRE, an open-source, Rothermel-based wildfire behavior model, and multiple US Federal Government open data sources to drive the simulations. LANDFIRE non-burnable fuel classes within the wildland–urban interface (WUI) are replaced with fuel estimates from machine-learning models, trained on data from historical fires, to allow the propagation of wildfire through the WUI in the model. Historical wildfire ignition locations and NOAA’s hourly time series of surface weather at 2.5 km resolution are used to drive ELMFIRE to produce wildfire hazards representative of the 2022 and 2052 conditions at 30 m resolution, with the future weather conditions scaled to the IPCC CMIP5 RCP4.5 model ensemble predictions. Winds and vegetation were held constant between the 2022 and 2052 simulations, and climate change’s impacts on the future fuel conditions are the main contributors to the changes observed in the 2052 results. Non-zero wildfire exposure is estimated for 71.8 million out of 140 million properties across CONUS. Climate change impacts add another 11% properties to this non-zero exposure class over the next 30 years, with much of this change observed in the forested areas east of the Mississippi River. “Major” aggregate wildfire exposure of greater than 6% over the 30-year analysis period from 2022 to 2052 is estimated for 10.2 million properties. The FSF-WFM represents a notable contribution to the ability to produce property-specific, climate-adjusted wildfire risk assessments in the US.
Developing an Automated System to Control the Rolled Product Section for a Wire Rod Mill with Multi-Roll Passes
Authors: Radionov Andrey A. , Petukhova Olga I. , Erdakov Ivan N. , Karandaev Alexander S. , Loginov Boris M. , Khramshin Vadim R.
Published: August 2022

The key priority of metallurgical industry development is expanding the range and improving the quality of bar products and their major component, steel wire. Continuous wire rod mills with multi-roll passes have been developed and implemented over the past decades. These include mills with four-roll passes with mutually perpendicular rolls. The specific feature of mills with complex passes is the impossibility of conduct and the direct measurement of the workpiece dimensions in several directions during rolling. The paper studies the development of a system for indirect control over complex section geometry by adjusting the interstand space tension with simultaneous compensation for changes in rolling forces. The paper contribution is the first justification of a technique for the control over the indirect rolled product section on mills with multi-roll passes based on theoretical and experimental research. Analytical and experimental dependencies between the metal pressure on the rolls and the semifinished rolled product temperature, rolling speed, and single drawing have been obtained for various steel grades. The impact of process factors on the rolled product section geometry when rolling in stands with four-roll passes has first been studied. The automated control system implementing the proposed technique has passed pilot tests on a continuous five-stand mill. The processes occurring in closed-loop speed and torque control systems under controlling and disturbing effects have been experimentally studied. Implementing the proposed algorithms indirectly confirmed the reduced impact of tension and pressure on the section geometry.
Introducing Robotized Stator Cable Winding to Rotating Electric Machines
Authors: Hultman Erik
Published: August 2022

Following environmental concerns and the rapid digitalization of our society, we are currently experiencing an extensive electrification and industrial revolution. High numbers of electric machines thus need to be assembled for varying applications, including vehicle propulsion and renewable energy conversion. Cable winding is an alternative stator winding technology for electric machines that has been utilized for such applications, so far in smaller series or in prototype machines. The presented work introduces the first concept for automated stator cable winding of rotating electric machines. This concept could enable higher production volumes of cable wound machines and a unique flexibility in handling different machines, in line with Industry 4.0. Robotized stator cable winding is evaluated here for five very different rotating machine designs, through simulations and analytical extrapolation of previous experimental winding results. Potential cycle time and assembly cost savings are indicated compared to manual and lower volume conventional automation, while it is not possible to compete in the present form with existing very high-volume conventional winding automation for smaller machines. Future experimental work is pointed out on handling larger winding cables and special machine designs, and on increased robustness and optimization.
Circuit Techniques to Improve Low-Light Characteristics and High-Accuracy Evaluation System for CMOS Image Sensor
Authors: Kato Norihito , Morishita Fukashi , Okubo Satoshi , Ito Masao
Published: August 2022

The surveillance cameras we focus on target the volume zone, and area reduction is a top priority. However, by simplifying the ADC comparator, we face a new RUSH current issue, for which we propose a circuit solution. This paper proposes two novel techniques of column-ADC for surveillance cameras to improve low-light characteristics. RUSH current compensation reduces transient current consumption fluctuations during AD conversion and utilizing timing shift ADCs decreases the number of simultaneously operating ADCs. These proposed techniques improve low-light characteristics because they reduce the operating noise of the circuit. In order to support small signal measurement, this paper also proposes a high-accuracy evaluation system that can measure both small optical/electrical signals in low-light circumstances. To demonstrate these proposals, test chips were fabricated using a 55 nm CIS process and their optical/electrical characteristics were measured. As a result, low-light linearity as optical characteristics were reduced by 63% and column interference (RUSH current) as an electrical characteristic was also reduced by 50%. As for the high-accuracy evaluation system, we confirmed that the inter-sample variation of column interference was 0.05 LSB. This ADC achieved a figure-of-merit (FoM) of 0.32 e-·pJ/step, demonstrating its usefulness for other ADC architectures while using a single-slope-based simple configuration.
LC-MS/TOF Characterization and Stability Study of Artesunate in Different Solvent Systems
Authors: Oke Kogila , Mugweru Amos
Published: August 2022

Artemisinin (ART) is a sesquiterpene lactone and a popular malaria drug used in many parts of the world. Artesunate (ARTS) is a semi-synthetic derivative of ART with improved pharmacokinetic properties. However, the half-life of ARTS is less than an hour in vivo. The analysis of this drug in vitro in different solvent systems using LC-MS/TOF showed a solvent-driven breakdown. ARTS breakdown formed several derivatives, including dihydroartemisinin (DHA), artemether (ARTM) and DHA-dimer among others, at different rates in different solvent composition systems. The change in temperature from room temperature to physiological temperature (37 °C) was found to enhance the rate of the ARTS breakdown. In methanol, ARTS mainly formed ARTM with a chromatographic peak decrease of about 3.13%, while methanol and water (90:10) v/v mainly gave rise to DHA and ARTM with about an 80% chromatographic peak decrease. On the other hand, ARTS in methanol and ammonium acetate (85:15) v/v formed DHA, ARTM, DHA-dimer and other reaction peaks with about a 97% peak decrease and the formation of an orange solution pointing to a molecular re-arrangement reaction. These results have an important bearing on research on the analysis of artemisinin drugs conducted on these common solvents.
Has the Carbon Trading Pilot Market Improved Enterprises’ Export Green-Sophistication in China?
Authors: Zhou Chaobo , Li Yuankun , Sun Zhengxin
Published: August 2022

This study empirically examined the effect of a carbon trading pilot market on export green-sophistication of Chinese listed enterprises by adopting a difference-in-difference method. Findings show that a carbon trading pilot market can improve enterprises’ export green-sophistication after using robustness tests to overcome endogeneity. The impact mechanism test shows that a carbon trading pilot market can improve export green-sophistication by increasing green technology innovation. Further research on the system design of carbon trading pilot markets shows that the greater the total carbon quota allocation, the larger the reduction in the trading volume of Chinese certified emissions. Furthermore, the weaker the punishment for an enterprise’s default in the pilot areas, the less favorable it is for enterprises to improve their export green-sophistication. Compared with the grandfather and historical intensity methods, benchmarking used in the allocation of carbon quotas is conducive to the improvement of the export green-sophistication of enterprises.
Emerging Associates of the Circular Economy: Analysing Interactions and Trends by a Mixed Methods Systematic Review
Authors: Ghosh Animesh , Bhola Prabha , Sivarajah Uthayasankar
Published: August 2022

Circular Economy (CE) frameworks augmented multi-dimensional research, including definitions, principles, indicators, history, limitations, enablers, and allied issues. Rethinking the designing strategies requires the exploration of CE associates and their functioning as companions for amplification through multiple suggestions, highlighting the interactions with the overall CE system towards sustainability. This paper focuses on how CE literature concentrates on premeditated areas and solution approaches. A lack of deterministic manifestations critically limits the interpretation and application of CE concepts. The paper contributes to the CE theoretical and practical understanding by for the first time outlining the CE associates, their connotation, progression, positioning in architecture, and their current state. These associates support individualization of a CE concept. The coherently applied methodology attempts to reduce the knowledge gap by following a systematic quantitative literature review process to screen 76 articles and 122 CE definitions, referencing one decade of literature. Application of comprehensive morphological mining facilitated the extraction of CE associates and later analysis. On application of Bibliometric Analysis, Text Analysis, Semantic Analysis, and Relation Mapping to the literature, 49 associates emerged. They were further validated by application of Content Analysis and Weighted Average Priority Ranking on extracted article content and definitions for deriving the most prominent associates. Subsequently, Association Rules Data Mining and K-Means Clustering were deployed in exploring the relations, ranking, and significance of CE associates. The findings consistently state that business actions (virtualize, exchange); sustainability pillars (society); and R strategies (refuse, refill, and repurpose) are unexplored CE associates, whereas Business, Economics, Environment, Measurement, Product, Industry, Resource, System, Waste, and Recycle are the most explored associates of the CE ecosystem.
Facing the Impact of the COVID-19 Pandemic: How Can We Allocate Outpatient Doctor Resources More Effectively?
Authors: Hu Xiaojing , Fang Hongjun , Wang Ping
Published: August 2022

The COVID-19 pandemic caused significant damage to global healthcare systems. Previous studies regarding COVID-19’s impact on outpatient numbers focused only on a specific department, lacking research data for multiple departments in general hospitals. We assessed differences in COVID-19’s impact on outpatient numbers for different departments to help hospital managers allocate outpatient doctor resources more effectively during the pandemic. We compared the outpatient numbers of 24 departments in a general hospital in Beijing in 2019 and 2020. We also examined an indicator not mentioned in previous studies, monthly departmental patient reservation rates. The results show that, compared with 2019, 2020 outpatient numbers decreased overall by 33.36%. Ten departments’ outpatient numbers decreased >33.36%; however, outpatient numbers increased in two departments. In 2020, the overall patient reservation rate in 24 departments was 82.22% of the 2019 reservation rate; the rates in 14 departments were <82.22%. Moreover, patient reservation rates varied across different months. Our research shows that COVID-19’s impact on different departments also varied. Additionally, our research suggests that well-known departments will be less affected by COVID-19, as will departments related to tumor treatment, where there may also be an increase in patient numbers. Patient reservation rates are an indicator worthy of attention. We suggest that hospital managers classify departments according to changes in outpatient numbers and patient reservation rates and adopt accurate, dynamic, and humanized management strategies to allocate outpatient doctor resources.
A Study on Additive Manufacturing for Electromobility
Authors: Schuhmann Dirk , Rockinger Christopher , Merkel Markus , Harrison David K.
Published: August 2022

Additive manufacturing (AM) offers the possibility to produce components in a resource-efficient and environmentally friendly way. AM can also be used to optimise the design of components in mechanical and physical terms. In this way, functionally integrated, lightweight, highly efficient, and innovative components can be manufactured with the help of additive manufacturing in terms of Industry 4.0. Furthermore, requirements in the automotive industry for drivetrain components are increasingly being trimmed in the direction of efficiency and environmental protection. Especially in electromobility, the topic of green efficiency is an essential component. Exhaust emission legislation and driving profiles for evaluating vehicles are becoming increasingly detailed. This offers the potential to apply the advantages of AM to vehicle types such as conventional, utility vehicles, and nonroad mobile machinery (NRMM), independent of the electrical drivetrain technology (hybrid or fully electrical). AM also allows for us to produce optimally adapted components to the respective requirements and use cases. In this review, the intersections of AM and electromobility are illuminated, showing which solutions and visions are already available for the different vehicle types on the market and which solutions are being scientifically researched. Furthermore, the potential and existing deficit of AM in the field of electromobility are shown. Lastly, new and innovative solutions are presented and classified according to their advantages and disadvantages.
Heterogeneous Impact of Electrification of Road Transport on Premature Deaths from Outdoor Air Pollution: A Macroeconomic Evidence from 29 European Countries
Authors: Kazemzadeh Emad , Koengkan Matheus , Fuinhas José Alberto , Teixeira Mônica , Mejdalani Alexandre
Published: August 2022

One of the biggest problems associated with vehicles that use internal combustion engines is that they cause elevated levels of pollution in the places they travel through, especially if they cause congestion. However, it is not only the level, but also probably the concentration of gases emitted by internal combustion engines in the places where they move around that is particularly lethal. Can the road transport sector’s electrification mitigate premature deaths from outdoor air pollution? Our main hypothesis is that replacing internal combustion engine vehicles with electrical ones contributes to mitigating people’s exposure to high concentrations of air pollution. To answer the research question, a panel of 29 European countries, from 2010 to 2020, using the method of moments quantile regression and ordinary least squares, was examined. Results support the concept that economic growth, renewable energy consumption, and electric vehicles in all quantiles have a negative impact on premature mortality due to air pollution. These impacts are higher on premature mortality in lower quantiles, but gradually decrease with increasing quantile levels. The results also reveal that methane emissions, in all quantiles except 10th, have a negative effect on premature mortality. Nitrous oxide emissions positively impact premature mortality in all quantiles except the 10th, and this impact increases at high quantiles. Fine particulate matter positively impacts premature mortality in all quantiles, with the same at all levels. The ordinary least squares, used as a robustness check, confirm that economic growth, renewable energy consumption, and methane emissions have reduced impacts on premature mortality due to outdoor air pollution. However, nitrous oxide emissions and fine particulate matter increase premature mortality. These results reinforce the importance of policymakers implementing policies for road electrification.
Microcredit Membership and Self-Reported Healthcare Autonomy among Bangladeshi Women
Authors: Ghose Bishwajit , Etowa Josephine , Ghose Sharmistha
Published: August 2022

Participation in microcredit programs has so far received widespread research and policy attention in the context of health and empowerment among Bangladeshi women. However, not much is known regarding the relationship between participation in microcredit programs and healthcare autonomy (HA) among women. In the present study, we analyzed two nationally representative surveys (Bangladesh Demographic and Health Survey 2004 and 2014), to assess the relationships between MC membership and HA among adult women (n = 29163), while adjusting for various sociodemographic correlates. Self-reported healthcare decision-making autonomy was assessed by asking whether or not the participant had final say on her healthcare. The findings revealed that between 2004 (20.9%, 95%CI = 19.8, 22.0) and 2014 (14.1%, 95%CI = 13.3, 15.0), the proportion of women reporting HA decreased significantly, despite considerable improvements across several socioeconomic indices, including higher education enrollment and labor market participation. Between 2004 and 2014, the percentage of microcredit borrowers decreased for Grameen (18.9% vs. 10.7%) and BRAC (7.9% vs. 7.4%), while it increased for BRDB (0.9% vs. 7.0%). A multivariate regression analysis revealed that Grameen Bank membership was positively associated with reporting HA in both male- (OR = 1.16, 95%CI = 1.09, 1.23) and female-headed households (OR = 1.44, 95%CI = 1.13, 1.85). A positive association between microcredit membership and HA was also observed for BRAC (OR = 1.33, 95%CI = 1.20, 1.47) and BRDB (OR = 1.18, 95%CI = 1.09, 1.29), but in the male-headed households only. Further analysis indicated that membership with Grameen bank was the most important predictor of HA, followed by BRAC, BRDB, and ASA, with the degree of importance varying substantially between male- and female-headed households. In conclusion, these findings suggest the potential of microcredit programs to promote healthcare autonomy among Bangladeshi women and provide insights for further research, as to why certain programs are more effective than others.
Perpectivas atuais da terapia antiamiloide para a Doença de Alzheimer
Authors: Santos Cardoso Ana Maria , Mainardo Rodrigues Bezerra Lucas , Cardozo Lima Cynthia , Rodrigues Bezerra Isadora Maria , Pereira Júnior José Lopes , Porto Torres João Gustavo
Published: August 2022

Introdução. Segundo a Alzheimer's Disease International, demência é um termo genérico para um conjunto de sintomas causados por distúrbios que afetam o cérebro e têm impacto na memória, pensamento, comportamento e emoções. O tratamento da doença de Alzheimer (DA) é multidisciplinar e deve incluir a terapia farmacológica e não farmacológica. Os inibidores da colinesterase são as drogas de primeira escolha para o tratamento da DA, porém apresentam muitos efeitos colaterais e não impedem a progressão da doença. Dessa forma, a terapia antiamiloide é uma alternativa promissora no tratamento da DA. Objetivo. O presente estudo objetiva analisar as atuais perspectivas da terapia antiamiloide no tratamento da DA. Método. Foi realizada uma pesquisa de artigos científicos desde 2016 nas bases de dados Scielo, PUBMED, LILACS e BVS. Resultados. Inicialmente, foram encontrados 109 artigos na língua inglesa, portuguesa e alemã, dos quais foi realizada a leitura dos seus resumos. Conclusões. Com base na literatura analisada, grandes avanços clínicos vêm sendo realizados diante da DA. O futuro do tratamento do Alzheimer provavelmente está em uma abordagem terapêutica multimodal e a hipótese amiloide vem como terapia alternativa promissora para o tratamento da doença. Assim, ressaltamos a importância de que se fomente a discussão e a pesquisa para que nos aproximemos cada vez mais de uma possível cura e prevenção desta afecção.
Application of Artificial Neural Network Technology for Prediction of Sunflower Harvest Losses
Authors: Zozulya Oleksandr , Domrachev Volodymyr , Tretynyk Violeta
Published: August 2022

Introduction The current stage of economic development is characterized by digitalization. Digital technologies in crop production occupy leading positions in agrocybernetics.
The digitalization of society has brought to the fore new methods of studying development processes, among which a significant role is played by deep learning and its most successful methods such as artificial neural networks.
“Artificial neural networks (ANNs) have gained popularity an effective tool for offering solutions to a wide variety of different case studies of biological and agricultural background. Their effectiveness emanates from their ability to model complex relationships between observation data from sensors and predicted variables without relying on assumptions about the model structure hence they can predict the real nature of the nonlinear relation between input and output data.” Yield prediction is a major challenge in precision agriculture, closely associated to the adoption of best management practices, crop pricing and security. Various techniques and methodologies have been developed to predict crop yield in agriculture.
Yield forecasting requires control of many parameters, including Moisture Content pH, Soil Organic Matter, Total Nitrogen and Organic Carbon, which complicates the forecasting process .
The purpose of the paper. The purpose of this paper is to find out and substantiate the possibility of predicting the probable loss of the sunflower crop by the farmer based on the analysis of the distribution of the vegetation index in the field. Our hypothesis is that the distribution of the vegetation index significantly affects the percentage of losses, of course, with additional parameters.
Results. The influence of parameters that characterize the harvest on its losses is, but a clear regression relationship can not be built. Therefore, the technology of artificial neural networks is used to build the model. The model is formed in the form of an algorithm at the input of which input parameters are given (value of vegetation index at the beginning of the study, change of index value during the study period, seed moisture in the accounting area, percentage of study area from field area), at the output we get the percentage of possible crop losses. The algorithm is automatically translated into a program in the C ++ programming language (or another programming language), which allows in practice to model the farmer's possible crop losses depending on his actions in relation to growing crops. Keywords: sunflower, machine learning, artificial neural networks, forecast model.
ESTRUCTURA DE LA DIVERSIDAD GENÉTICA EN POBLACIONES NATURALES DE Pinus greggii Engelm.
Authors: Parraguirre-Lezama Conrado , Vargas-Hernández J. Jesús , Ramírez-Vallejo Porfirio , Azpíroz-Rivero Hilda Susana , Jasso-Mata Jesús
Published: August 2022

Se estudió la estructura de la diversidad genética en 15 loci isoenzimáticos de 19 poblaciones naturales de Pinus greggii Engelm. con la finalidad de determinar el grado de variabilidad genética de la especie y el nivel de diferenciación genética existente entre sus poblaciones. Los resultados mostraron que existe una amplia diversidad genética en la especie (93 % de loci polimórficos, 3.5 alelos por locus), pero esa diversidad es relativamente baja a nivel de poblaciones (31.9 % de loci polimórficos y 1.6 alelos por locus), con una proporción elevada de alelos raros (47 %) y alelos “privados” (23 %) en ellas. Aunque se encontró una alta diferenciación genética entre las poblaciones (Fst = 0.379), esta diferenciación no estuvo asociada a las regiones geográficas (2 %), a diferencia del patrón geográfico reportado para las características morfológicas y de crecimiento de los árboles. Las distancias genéticas promedio entre pares de poblaciones fueron similares en las dos regiones geográficas; sin embargo, sólo en la región norte se encontró una correlación positiva y significativa (r = 0.48) entre las distancias genéticas y geográficas de las poblaciones.
Application of Partial Differential Equations in Multi Focused Image Fusion
Authors: K. Kannan
Published: August 2022

Image Fusion is a process used to combine two or more images to form more informative image. More often, machine vision cameras are affected by limited depth of field and capture the clear view of the objects which are in focus. Other objects in the scene will be blurred. So, it is necessary to combine set of images to have the clear view of all objects in the scene. This is called Multi focused image fusion. This paper compares and presents the performance of second order and fourth order partial differential equation in multi focused image fusion.
Influence of Storage Condition and Period Time on Fungal Contamination and Mycotoxin in Ruminant Feed
Authors: Hamasalim Hozan Jalil , Ahmed Bahroz Muhammed Saleh , Mohammed Shagul Jalal
Published: August 2022

Contamination of animal feeds with mycotoxins in livestock farms is a severe matter. This study aimed to evaluate mycotoxigenic fungi, type of toxins, and toxin concentrations and contamination levels of Aflatoxin, Ochratoxin, and T2-toxin in ruminant feed collected from three different sites (a department laboratory, field 1, and field 2) and two periods of time (January and March). Also, four different genera were isolated and diagnosed from the animal feed based on the macroscopic morphology as well as on microscopic characteristics. The genera were Aspergillus spp., Penicillium spp., Fusarium spp., and Rhizopus spp. The result shows significant differences in fungal count among location storages, and among period times, too. Significant differences (P<0.05) also has found for mycotoxin concentration while storage in different locations. Additionally, animal feed collected from different sites and different periods contained lower limits of mycotoxins than the standard limits.
تطور زراعة وإنتاج الفاكهة في الأردن 1980-2019
Authors: شتات فهمي عبدالفتاح
Published: August 2022

تركزت زراعة أشجار الفاكهة حتى نهاية السبعينيات من القرن الماضي في وادي الأردن حيث ان الزراعة مروية، وقد شملت الحمضيات والموز بالدرجة الأولى. وفي المناطق المرتفعة، اعتمدت زراعة أشجار الفاكهة (زيتون، عنب، لوز، برقوق، تين وغيرها)  على مياه الأمطار في حين اقتصرت الزراعة المروية في المناطق المرتفعة على الأراضي المحيطة بالأودية التي بها ينابيع (وادي جرش، وادي السلط، سيل الزرقاء، وادي الريان، وادي موسى وغيرها) إذْ زرعت أشجار الفاكهة في بساتين مختلطة تضم عدة أنواع مثل التين و الرمان و التوت بمساحات صغيرة نسبياً، وأدى تحسن مستوى المعيشة وما رافقه من زيادة الطلب على أنواع الفاكهة التقليدية وغير التقليدية في مطلع الثمانينات الى تشجيع القطاع الخاص لضخ رؤوس أموال كبيرة للاستثمار في زراعة أشجار الفاكهة ورغبة العديد من مزارعي الخضروات الانتقال إلى زراعة أشجار الفاكه، مما ادى إلى تحول كبير في مساحة وإنتاج محاصيل الفاكهة، وشمل هذا التحول أنواع وأصناف الفاكهة والأصول المطعمة عليها تلك الأصناف وكثافة الزراعة والطرق المتبعة في تربية وتقليم أشجار الفاكهة و عمليات قطف الثمار و تداولها، وفي مجال الزيتون تم إدخال المعاصر الحديثة متعددة خطوط الإنتاج ذات الكفاءة العالية في استخلاص الزيت من الثمار. وفي مجال الري تم الانتقال من الري التقليدي بالأحواض إلى الري بالتنقيط مما ساعد في توفير مياه الري، وأدى هذا التحول أيضا الى استعمال التسميد بواسطة نظام التسميد بالري (Fertigation) مما ساعد في زيادة كفاءة عمليات التسميد. وأما أهم محاصيل الفاكهة التي شهدت تحولاً جذرياً في المساحة والإنتاج فمنها الدراق والنكتارين في مناطق البادية والنخيل في وادي الأردن والتفاح في منطقة الشوبك. ولقد ساهمت العديد من المؤسسات مثل وزارة الزراعة والمركز الوطني للبحوث الزراعية ونقل التكنولوجيا وكليات الزراعة في الجامعات الأردنية ونقابة المهندسين الزراعيين والتلفزيون الأردني إلى جانب القطاع الخاص في وضع حجر الأساس لهذا التحول واستمراره حتى يومنا هذا
Managerial Ability, Earnings Quality, and Future Performance
Authors: M. Al Shaar Eshaq , Zalloum Nidal O. , Khattab Shadi A. , Alfalah Tasneem Fayez
Published: August 2022

This paper investigates Algeria's main export volatility drivers via a regression model. The methodology involves the construction and estimation of an econometric model. In this model, the annual time series from 1992 to 2016 is used to estimate the impact of export structure and product concentration on the size of export volatility. The results reveal that export volatility in Algeria is high, and this is due to the growing percentage of consumer and raw material exports. The increasing size of exports is also an essential determinant of volatility. The findings indicate a need to reduce the reliance on primary exports while policymakers should diversify the export basket to reduce export volatility.
Percepciones y significados en torno de la educación y del trabajo entre los jóvenes de la secundaria en Bogotá
Authors:   , Ortegón Salinas Gloria María
Published: August 2022

Este trabajo se ha realizado en el marco de la educación pública colombiana, enfocado en la Educación Media, etapa final de la educación secundaria. Con la realización de este trabajo de investigación se pretende visibilizar cómo se ha estructurado el sistema educativo y cuál ha sido su incidencia en el campo laboral y en la configuración del sujeto social. Además, a través del desarrollo de este producto se evidencia la relación entre la educación y la construcción del territorio, la configuración de la subjetividad de los jóvenes educandos y de su percepción respecto al concepto de educación y de trabajo; a partir de una perspectiva edu-comunicativa. El trabajo consta de diez (10) capítulos, distribuidos en dos grandes secciones. El abordaje metodológico se sustenta en la realización de una exploración de naturaleza sociocultural, la cual favorece la descripción y la generación de perspectivas teóricas en torno de las configuraciones y percepciones que los jóvenes de la educación secundaria han construido respecto de la educación y del trabajo, a partir de su trayectoria escolar desde una perspectiva de la comunicación / educación.
PERKASA INTERVENTION: A PSYCHOTHERAPY INTERVENTION AMONG PARENTS OF CHILDREN WITH LEUKEMIA IN MALAYSIA
Authors: Mat Zin Muhammad Syamsul , Azman Azlinda , Abdul Latiff Zarina , C-Khai Loh
Published: August 2022

This study, known as PERKASA Intervention, is a psychotherapy intervention towards parents of children with leukemia, implemented in one of the University Teaching Hospital (UTH) in Kuala Lumpur, and has been conducted by a Medical Social Worker. This Randomized Controlled Trial (RCT) is a sequel study adapted from a pilot study that has been done previously. This intervention consists of four sessions with 60 minutes per session emphasizing emotional, rational thinking, cognitive, and behavior. A total of 60 samples are selected using purposive sampling, and a 1:1 ratio has been used at randomized stages. A total of 30 participants were placed in the Experimental Group (EG), while the remaining 30 participants were placed in the Control Group (CG). All the participants were approached by the researcher with rigorous monitoring by Pediatric Oncology/Hematology and cooperation from two Chief Nurses. Participants from EG have been assessed three times; pre-intervention (T1), mid-intervention (T2), and post-intervention (T3), meanwhile CG participants were assessed just at the post-intervention (T2a) and compared with EG. This study used chi-square, multivariate ANOVA repeated measures, and independent samples t-test to analyze the intervention interactions. Intent-to-treat analysis shows no significant correlation and no significant differences between remaining participants and participants who withdrew from the study. At pre- to mid-intervention in EG shows no significant changes, except in emotional-focus; the pre- to post-intervention assessment shows significant changes in anxiety, problem-focus, and emotional-focus. Comparison between two groups tested at post-intervention assessment reveal that all variables show significant differences, except in depression level. This PERKASA Intervention successfully overcame the emotional and psychological distress and enhanced coping strategies used among parents of children with leukemia at post-intervention. Recommendations for a future study to be performed in a larger scale of participants and should be done over a long period of time.
IT Strategic Planning on AMIK XYZ 2020-2024
Authors: Pratama Dicky
Published: August 2022

Most organizations in all sectors of industry, commerce, non-profit and government are now fundamentally dependent on information systems (IS) and information technology (IT). SI and IT are required to be the key to operational activities in all fields, not just as a tool. Utilization of IS / IT aims to improve the effectiveness and efficiency of operational activities and produce benefits for the long term. One of the benefits of using IS/IT for the long term is to be able to bring organizations, companies and institutions to achieve competitive advantage. AMIK XYZ is a private university based on information technology. AMIK XYZ's vision is to become an excellent university in Indonesia in 2028, which has a high commitment to quality education. To achieve its vision, AMIK XYZ requires a portfolio of future applications that are expected to bring AMIK XYZ to competitive advantage. This information technology strategic planning adopts the Ward and Peppard framework. The models used in this study are Five Force Porters, Value Chain, SWOT Matrix, Critical Success Factor and Mc Farlan Strategic Grid. The stages in this research are primary and secondary data collection then an internal and external environment analysis is carried out, then an IS / IT strategy analysis is carried out, a gap analysis is carried out to determine the application to be developed and an improvement of existing features, for the creation of an IS / IT development roadmap. The results of IS / IT strategic planning are business strategies, IS / IT management strategies and future portfolio applications that are aligned with business strategies. The IS / IT strategy that will be the first priority to be developed is adjusted to the priority issues that must be addressed immediately. The implementation of future application portfolios is expected to bring AMIK XYZ to its vision.
Sistem, Informasi, Pegawai, Webs Sistem Informasi Pegawai Pada Kecamatan Pagar Alam Selatan Berbasis Web
Authors: Sasmita
Published: August 2022

The purpose of this research is to produce an employee information system in South Pagar Alam Subdistrict based on web that can make it easier for the Subdistrict to manage data and also facilitate those who want to get information quickly, and can be accessed anytime and anywhere. In the Sub-District Office of South Pagar Alam Subdistrict, Pagar Alam City, information about the Office is currently still manual, that is still using in the form of a ledger or file print out, and where in searching data is still manually so the data sought requires a long time. Data collection methods in this study use the method of interview, observation, documentation, and literature study. The system development method uses the waterfall method with stages of analysis, design, coding and testing. This system was developed using the Adobe Dreamweaver CS3, PHP, MySql, and Xampp applications. The results of the interim research in the form of employee information system in the District of Pagar Alam Selatan Web-Based. System testing uses usability testing with an average value of 4.63 which means that the user states that this website can facilitate the South Pagar Alam Subdistrict to convey information and also facilitate parties who want to get information quickly, and can be accessed anytime and anywhere only.
Membangun Website Kecamatan Dempo Selatan
Authors: Ris Risnaini
Published: August 2022

Penelitian ini bertujuan untuk merancang dan membangun website Kecamatan Dempo Selatan yang mempermudah masyarakat umum dan instansi pemerintahan khususnya masyarakat Kecamatan Dempo Selatan dalam mencari informasi mengenai pemberitahuan secara cepat, serta dapat diakses kapan saja dan dimana saja. Permasalahan yang ada di Kantor Camat Dempo Selatan adalah sulitnya penyampaian informasi ke masyarakat luas dan mengharuskan masyarakat datang langsung ke Kantor Camat Dempo Selatan. Dalam penelitian ini metode pengumpulan data yang dilakukan adalah dengan cara observasi, wawancara dan studi pustaka. Metode pengembangan sistem menggunakan metode waterfall dengan tahapan analisis, desain, pengkodean dan pengujian. Sistem ini dikembangkan dengan menggunakan aplikasi adobe dreamweaver CS3, Php, MySql, dan Xampp. Hasil penelitian sementara berupa Rancang Bangun Website Kecamatan Pagar Alam Selatan Berbasis Web. Pengujian system menggunakan usability testing dengan nilai rata 4,63 yang berarti pengguna menyatakan bahwa Website ini bisa mempermudah pihak Kecamatan Dempo Selatan untuk menyampaikan informasi dan juga mempermudah pihak-pihak yang ingin mendapatkan informasi dengan cepat, serta bisa diakses kapan saja dan dimana saja.
Pembaruan Teknologi Informasi Pendidikan Menggunakan Sistem Pendukung Keputusan Pada Sistem Zonasi Tingkat SMP di Kotim Berbasis Web
Authors: Susianto Yessy Susianto
Published: August 2022

Sistem Zonasi adalah sistem penerimaan peserta didik baru yang memerlukan pertimbangan sekolah dalam menerima calon siswa baru, yang wajib memperhatikan jarak antara sekolah dengan tempat tinggal atau domisili calon siswa. Prosedur penerimaan peserta didik baru ini dijalankan dengan sekolah yang diselenggarakan oleh Pemerintah Derah , wajib menerima calon peserta didik yang berdomisili pada radius zona terdekat dari sekolah dengan kuota paling sedikit 90%. Calon siswa dan orang tua kebingungan untuk memilih sekolah mana yang ingin dituju karena tidak tahu bagaimana cara mengetahui apakah rumah mereka berada radius zona terdekat dengan sekolah. Untuk menangani masalah ini, maka Sistem Pendukung Keputusan dapat menjadi alternatif yang tepat dalam pengambilan keputusan. Salah satunya dalam menentukan tujuan sekolah berdasarkan kriteria yang ada pada sistem zonasi. Metode yang digunakan dalam penelitian ini adalah metode AHP (Analytic Hierarchy Process) dan TOPSIS (Technique For Others Referencean by Similarity to Ideal Solution) dengan harapan penilaian dapat dilakukan secara selektif dan mendapatkan hasil yang akurat.
Penentuan Rute Terpendek Untuk Mencari Lokasi Terdekat Menuju Tempat Ibadah Di Kota Sukabumi Menggunakan Algoritma Dijkstra
Authors: Septian Muhammad Refli , Lelah Lelah
Published: August 2022

Kota Sukabumi merupakan sebuah wilayah yang berada di Jawa Barat yang mengalami perkembangan pesat. Terutama dalam pembangunan tempat ibadah. Tempat ibadah, rumah sakit. Tempat peribadatan adalah sebuah tempat yang digunakan oleh umat beragama untuk beribadah menurut ajaran agama. Masjid adalah rumah tempat ibadah umat islam atau muslim, masjid artinya tempat ibadah. Masjid juga merupakan pusat kehidupan komunitas muslim. Kegiatan – kegiatan perayaan hari besar, diskusi kajian agama. Ceramah dan belajar Al-Qur’an sering dilaksankan di Masjid. Bahkan dalam sejarah islam, masjid turut memegang peranan dalam aktivitas sosial kemasyarakatan hingga kemiliteran. Adapun di Kota Sukabumi terdapat 20 Masjid. Agar lebih memudahkan dalam pencarian masjid yang berada di Kota Sukabumi dengan banyaknya jumlah masjid yang berada di kota sukabumi dengan menggunakan aplikasi berbasis web. Penerapan algoritma Dijkstra dalam proses menentukan lokasi masjid yang akan di tuju di Kota Sukabumi berdasarkan jarak yang akan ditempuh dengan menentukan rute terpendek sehingga dapat membantu orang – orang yang akan beribadah di Kota Sukabumi khususnya bagi orang yang bukan berasal dari Kota Sukabumi