bluuebunny/crossref_metadata_2025_split huggingface dataset:
La desmotivación en los participantes del taller la empresa motivada en la UVM.
Authors: Valecillos Yumary 
Published: October 2024

La presente investigación tiene como objetivo general Analizar la desmotivación en los participantes del taller la empresa motivada en la UVM, donde se aborda un estudio de tipo descriptivo con diseño de campo,estuvo conformada por una población y muestra de 29participantes, aplicando la técnica de la encuesta cuyo instrumento fue un cuestionario de 8items que fue tomado del libro la empresa motivada de JörgLahmann ,con lo cual se desarrollan los resultados y se logra cumplir el objetivo al general el artículo .Se puede afirmar que la UVM cuenta con una aceptación favorable, donde se observa un estilo de motivación centrado en la vinculación con las personas haciendo énfasis en acoplar a los trabajadores con la misión y visión de la organización.En general la universidad va cumpliendo con las expectativas esperadas, no obstante se debe seguir trabajando para cada día alcanzar mejoras que la fortalezcan.
Agency banking as an Alternative Banking Services Delivery Channel and Financial Performance of Commercial Banks in Kenya
Authors: Mwangi Timothy Ngatia , Kalui Prof. Fredrick 
Published: October 2024

This study set out to investigate the effect of agency banking as an alternative banking service delivery channel on the financial performance of commercial banks in Kenya. The study was anchored on modern portfolio theory and employed a causal research design. Census method of sampling was employed, where all the 40 commercial banks operating as of December 2018 formed the study units. Both primary and secondary data were used. Data was analysed using descriptive and regression analysis. The study findings showed that agency banking had a positive and significant effect on financial performance of commercial banks. The study concluded that agency banking contributes significantly to positive change in financial performance of commercial banks in Kenya. The study, therefore, recommends that the management of commercial banks should consider embracing the agency banking model and increasing the use of agents that rely on the existing infrastructure such as supermarkets, credit unions, hotels, and petrol stations to reach out to more customers.
Regulatory Framework and Financial Corporate Compliance in Public Universities in Kenya
Authors: Chokaa Vincent , Baimwera (PhD) Dr. Bernard , Mugambi (PhD) Dr. Ken , Senaji (PhD) Prof. Thomas A. 
Published: October 2024

One of the important components of corporate governance that improves accountability and transparency in an institution's financial management is financial corporate compliance. The emergence of alarming cases of financial impropriety in Kenya's public universities has intensified the demand for financial accountability in the public sector and exposed the boards and management to increasing scrutiny. Public organizations have reported cases of inadequate or absence of financial compliance, and public universities have also cited comparable circumstances in audit reports. It is unclear, however, what the causes of this compliance are or what function corporate governance plays in it. The purpose of this study was to determine the effect of regulatory framework on financial corporate compliance at Kenya's public universities. The study adopted a descriptive survey research design. The study's target population was 40 accredited public universities in Kenya. The data were gathered through the use of extensive, quasi-structured questionnaires. The study used descriptive statistics such as frequency distribution tables, percentages, and measures of central tendency such as the mean. Chi-square and correlation analysis were used to establish the relationship between the study variables. The study findings indicated that regulatory framework affects positively financial corporate compliance during the period of study and its effects are significant. The study also found that the universities are regulated by accredited regulatory bodies as stipulated by the constitution. This study recommends that the government should employ thorough accountability measures and policies that will make every officer in public universities be held responsible for every activity he/she has undertaken on behalf of the university that may lead the university to incur some expenditures.
Exploring the scale effect of nonpoint source pollution risk on water quality in Lake Basins of Central Yunnan Plateau using the Minimum Cumulative Resistance model
Authors: Fu Li , Ma Xiaoliang , Peng Shuangyun , Gong Luping , Zhang Rui , Huang Bangmei 
Published: October 2024

Nonpoint source (NPS) pollution has emerged as the predominant water environment issue confronting plateau lakes in central Yunnan. Quantitative analysis of the impact of NPS pollution on water quality constitutes the key to preventing and controlling water pollution. However, currently, there is a dearth of research on identifying NPS pollution risks and exploring their relationship with water quality based on the Minimum Cumulative Resistance (MCR) model in the plateau lake basins of central Yunnan. Particularly, studies on the spatial heterogeneity of the impact of NPS pollution on water quality from a multi-scale perspective are scarce. Therefore, this study focuses on three typical lake basins in the Central Yunnan Plateau–Fuxian Lake, Xingyun Lake, and Qilu Lake (the Three Lakes). Utilizing the MCR model to identify NPS pollution risks, the study analyzes seven different scales, including sub-basins, riparian buffer zones (100 m, 300 m, 500 m, 700 m, and 1,000 m) and lakeshore zones, to reveal the multi-scale effects of NPS pollution on water quality through correlation analysis. The results indicate that: (1) Over 60% of the areas in the Three Lakes Basin are at high or extremely high risk, mainly concentrated in flat terrain and around inflow rivers; (2) The area of NPS pollution from paddy field source landscape (PFSL) is greater than that from construction land source landscape (CLSL), and the high-risk areas of NPS pollution are also larger for PFSL compared to CLSL; (3) The mean resistance values of PFSL and CLSL show a significant negative correlation with monthly mean values of water quality indexes (NH3-N, TP, CODCr), with the 1,000 m riparian buffer zone scale showing the greatest correlation with most water quality indexes, especially NH3-N; (4) The correlation between the mean resistance value of CLSL and the monthly mean values of water quality indexes is significantly higher than that of PFSL, indicating a greater impact of CLSL on water quality compared to PFSL. In summary, PFSL and CLSL are the primary sources of NPS pollution in the Three Lakes Basins. The 1,000 m riparian buffer zone scale is the most sensitive to the impact of NPS pollution on water quality. This study provides scientific references for landscape pattern optimization and precise control of NPS pollution risks in the Central Yunnan Plateau lake basins and offers a new research perspective for exploring multi-scale effects of NPS pollution on water quality.
Exploring the Neuroprotective Behaviour and Hepatoprotective Effects of Plumbagin in MPTP-Induced Parkinson's Disease
Authors: Hanuman D Durga Veera , Kumar B Anil , Kumar B D P Kala , Kumar Y Ravi , Kumar K Satish , Rajender B , Debbarma Bhaskar , Sravathi V , Venkatesh V 
Published: October 2024

Aims: Parkinson’s disease (PD) is a neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra, leading to motor symptoms like tremors and bradykinesia, as well as non-motor symptoms such as sleep disturbances and autonomic dysfunction. Recent research suggests a link between PD and liver dysfunction, including altered metabolism and elevated liver enzymes. Plumbagin, recognized for its antioxidant and neuroprotective properties, may offer therapeutic benefits. This study explores its effects on both motor and non-motor symptoms in MPTP-treated mice, as well as its impact on liver function through serum enzyme analysis. The aim is to assess the neuroprotective and hepatoprotective potential of plumbagin in countering MPTP-induced neurodegeneration and liver dysfunction.
Methodology: Thirty mice (22-30g, 8-12 weeks old) were randomly assigned to five groups of six each. The experiment spanned 28 days, with the mice housed under controlled conditions and provided standard feed and water. Behavioral tests, including the Marble Burying and Tail Suspension tests, were conducted to assess anxiety and depressive-like behavior. Serum biochemistry, including ALT, AST, and BUN, was measured using standard ERBA kits to evaluate liver function health.
Results: In the marble burying and tail suspension tests, MPTP-induced mice (DC group) exhibited significantly higher anxiety and depressive-like behaviors compared to the sham and plumbagin groups. Plumbagin treatment (PD) and levodopa (LS) significantly reduced these behavioral symptoms. Liver function markers (ALT, AST, ALP) and BUN levels were elevated in DC mice, indicating liver and kidney damage, while plumbagin treatment mitigated these effects, showing values comparable to the standard treatment (LS).
Conclusion: This study demonstrates that MPTP exposure affects both the central nervous system and liver function, leading to anxiety, depression, and liver damage, as evidenced by elevated liver enzymes. Plumbagin showed protective effects, reducing these behavioral and biochemical changes through its antioxidant properties, suggesting its potential as a therapeutic agent against MPTP-induced neurotoxicity and hepatotoxicity. These findings suggest that future research should investigate plumbagin's clinical potential for treating Parkinson's disease and liver dysfunction, offering promise for its use in developing neuroprotective therapies.
Susceptibility of Aromatic and Non- aromatic Rice to Sitophilus oryzae L. and their Influence on the Insect and Infestation Rate under Sub-Himalayan Plains of West Bengal
Authors: Bhowmik Swagata , Hath Tapan Kumar , Maji Atanu , Debnath Manoj Kanti 
Published: October 2024

Relative susceptibility of local aromatic and non-aromatic rice grains to rice weevil, Sitophilus oryzae L. (Curculionidae, Coleoptera) was studied under laboratory conditions in the sub-Himalayan plains of West Bengal in two seasons (viz. winter and spring-summer) during 2020-2021. Results revealed that after 9 weeks of storage, the highest mean grain weight loss due to S. oryzae varied from 14.30% to 20.89% in the two types of rice grains in two seasons. The corresponding highest mean grain damage % ranged from 36.89 % to 41.56%. The grain weight loss and grain infestation % were always higher in the aromatic rice (Uttar Sugandhi) compared to non-aromatic rice (Jaldhepa) and also in the spring-summer season than the winter months. Carbohydrate and protein content of grains were reduced to the extent of 9.08% to 15.28% and 18.62% to 32.58% in aromatic and non-aromatic rice during winter and spring-summer seasons respectively as a result of infestation of S. oryzae. During winter and spring-summer seasons, from 5 pairs of adult weevils, a total of 188.60 and 142.20 and 264 and 237 number of adults were produced in aromatic and non-aromatic rice cultivars respectively at 9 weeks after their release. The adult population was always female biased.
Future Scenarios of Land Change Based on Empirical Data and Demographic Trends
Authors: Sleeter Benjamin M. , Wilson Tamara S. , Sharygin Ethan , Sherba Jason T. 
Published: October 2017

AbstractChanges in land use and land cover (LULC) have important and fundamental interactions with the global climate system. Top‐down global scale projections of land use change have been an important component of climate change research; however, their utility at local to regional scales is often limited. The goal of this study was to develop an approach for projecting changes in LULC based on land use histories and demographic trends. We developed a set of stochastic, empirical‐based projections of LULC change for the state of California, for the period 2001–2100. Land use histories and demographic trends were used to project a “business‐as‐usual” (BAU) scenario and three population growth scenarios. For the BAU scenario, we projected developed lands would more than double by 2100. When combined with cultivated areas, we projected a 28% increase in anthropogenic land use by 2100. As a result, natural lands were projected to decline at a rate of 139 km2 yr−1; grasslands experienced the largest net decline, followed by shrublands and forests. The amount of cultivated land was projected to decline by approximately 10%; however, the relatively modest change masked large shifts between annual and perennial crop types. Under the three population scenarios, developed lands were projected to increase 40–90% by 2100. Our results suggest that when compared to the BAU projection, scenarios based on demographic trends may underestimate future changes in LULC. Furthermore, regardless of scenario, the spatial pattern of LULC change was likely to have the greatest negative impacts on rangeland ecosystems.
Assessment of Coastal Governance for Climate Change Adaptation in Kenya
Authors: Ojwang Lenice , Rosendo Sergio , Celliers Louis , Obura David , Muiti Anastasia , Kamula James , Mwangi Maina 
Published: October 2017

AbstractThe coastline of Kenya already experiences effects of climate change, adding to existing pressures such as urbanization. Integrated coastal management (ICM) is increasingly recognized as a key policy response to deal with the multiple challenges facing coastal zones, including climate change. It can create an enabling governance environment for effective local action on climate change by facilitating a structured approach to dealing with coastal issues. It encompasses the actions of a wide range of actors, including local governments close to people and their activities affected by climate change. Functioning ICM also offers opportunities for reducing risks and building resilience. This article applied a modified capitals approach framework (CAF), consisting of five “capitals,” to assess the status of county government capacity to respond to climate change within the context of coastal governance in three county governments in Kenya. The baseline was defined in terms of governance relating to the implementation of the interrelated policy systems of ICM and coastal climate change adaptation (CCA). The CAF framework provided a systematic approach to building a governance baseline against which to assess the progress of county governments in responding to climate change. It identified gaps in human capacity, financial resource allocation to adaptation and access to climate change information. Furthermore, it showed that having well‐developed institutions, including regulatory frameworks at the national level can facilitate but does not automatically enable adaptation at the county level.
Registration of Precession Signal in the Last Interglacial Paleosol (S1) on the Chinese Loess Plateau
Authors: Ma Long , Li Ying , Liu Xingxing , Sun Youbin 
Published: October 2017

AbstractSolar insolation plays an essential role in driving orbital‐scale East Asian Monsoon (EAM) variability. Unlike Chinese speleothem δ18O records characterized by dominant precessional cycles, many loess proxies from the Chinese Loess Plateau (CLP) usually display damped precessional‐scale variability. To reconcile the precessional monsoon variability recorded in two classic archives, it's critical to investigate which factor can significantly affect the sensitivity of loess proxies to precessional forcing. In this study, we synthesize grain size (GS) and magnetic susceptibility (χ) results of 18 paleosol (S1) profiles over the CLP, with effort to evaluating the relative impacts of sedimentation rate (SR), and pedogenesis on the precessional signal intensity (PSI) during the last interglaciation. Based on unified grain‐size age models, amplitude contrast between normalized GS and χ variations of five substages of the last interglaciation is employed to infer the PSI. The results indicate that precessional signals are evident in the GS/χ records of the high‐SR loess profiles on the northern and western CLP. Comparison of the PSI variations with the SR and mean annual precipitation (MAP) changes suggests that the GS‐PSI is positively correlated to the SR changes, while the χ‐PSI is negatively/positively related to the SR/MAP changes. Our results confirm that distinct precessional cycles in high‐resolution loess proxies permit a plausible reconciliation of monsoon variability recorded in Chinese loess and speleothem.
Possible Icelandic Tephra Found in European Colle Gnifetti Glacier
Authors: Luongo M. T. , Kurbatov A. V. , Erhardt T. , Mayewski P. A. , McCormick M. , More A. F. , Spaulding N. E. , Wheatley S. D. , Yates M. G. , Bohleber P. D. 
Published: October 2017

AbstractVolcanic ash (tephra) provides unique time markers (isochrons) that are often used as an independent age‐control tool for stratigraphic correlations of paleoclimate archives from ice cores. However, little credence has been given to the notion of finding tephra in ice cores collected in the European Alps because of the relatively large distance from volcanic sources and the presumed nature of regional atmospheric circulation patterns. We filtered particles from melted ice core drilling chips gathered roughly every meter during a 2013 drilling operation at Colle Gnifetti glacier in the Swiss‐Italian Alps (45°55.74′N, 7°52.58′E, 4450 m asl). One filter, preliminarily dated to the nineteenth century by annual layer counting, contained a group of six visually similar tephra particles. Analyzing their chemistry using a scanning electron microscope equipped with an energy‐dispersive x‐ray spectrometer established that the six particles were volcanic in origin and are very similar in composition (a distinctive geochemical signature), pointing to a single volcanic eruption source. We proposed that one of several massive nineteenth century Eastern Icelandic eruptions is a potential source given eruption timing, size, tephra dispersion area, and similarities in chemical composition. This first finding of tephra in an Alpine ice core contributes to a regional tephrochronological framework that can be adapted for future correlation among different paleoclimate sequences.
Significant Contributions of Volcanic Aerosols to Decadal Changes in the Stratospheric Circulation
Authors: Diallo M. , Ploeger F. , Konopka P. , Birner T. , Müller R. , Riese M. , Garny H. , Legras B. , Ray E. , Berthet G. , Jegou F. 
Published: October 2017

AbstractThe stratospheric circulation is an important element of climate as it determines the concentration of radiatively active species like water vapor and aerosol above the tropopause. Climate models predict that increasing greenhouse gas levels speed up the stratospheric circulation. However, these results have been challenged by observational estimates of the circulation strength, constituting an uncertainty in current climate simulations. Here, we quantify the effect of volcanic aerosol on the stratospheric circulation focusing on the Mount Pinatubo eruption and discussing further the minor extratropical volcanic eruptions after 2008. We show that the observed pattern of decadal circulation change over the past decades is substantially driven by volcanic aerosol injections. Thus, climate model simulations need to realistically take into account the effect of volcanic eruptions, including the minor eruptions after 2008, for a reliable reproduction of observed stratospheric circulation changes.
Evidence of Tropospheric 90 Day Oscillations in the Thermosphere
Authors: Gasperini F. , Hagan M. E. , Zhao Y. 
Published: October 2017

AbstractIn the last decade evidence demonstrated that terrestrial weather greatly impacts the dynamics and mean state of the thermosphere via small‐scale gravity waves and global‐scale solar tidal propagation and dissipation effects. While observations have shown significant intraseasonal variability in the upper mesospheric mean winds, relatively little is known about this variability at satellite altitudes (∼250–400 km). Using cross‐track wind measurements from the Challenging Minisatellite Payload and Gravity field and steady‐state Ocean Circulation Explorer satellites, winds from a Modern‐Era Retrospective Analysis for Research and Applications/Thermosphere‐Ionosphere‐Mesosphere‐Electrodynamics General Circulation Model simulation, and outgoing longwave radiation data, we demonstrate the existence of a prominent and global‐scale 90 day oscillation in the thermospheric zonal mean winds and in the diurnal eastward propagating tide with zonal wave number 3 (DE3) during 2009–2010 and present evidence of its connection to variability in tropospheric convective activity. This study suggests that strong coupling between the troposphere and the thermosphere occurs on intraseasonal timescales.
Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network
Authors: Fang Kuai , Shen Chaopeng , Kifer Daniel , Yang Xiao 
Published: October 2017

AbstractThe Soil Moisture Active Passive (SMAP) mission has delivered valuable sensing of surface soil moisture since 2015. However, it has a short time span and irregular revisit schedules. Utilizing a state‐of‐the‐art time series deep learning neural network, Long Short‐Term Memory (LSTM), we created a system that predicts SMAP level‐3 moisture product with atmospheric forcings, model‐simulated moisture, and static physiographic attributes as inputs. The system removes most of the bias with model simulations and improves predicted moisture climatology, achieving small test root‐mean‐square errors (<0.035) and high‐correlation coefficients >0.87 for over 75% of Continental United States, including the forested southeast. As the first application of LSTM in hydrology, we show the proposed network avoids overfitting and is robust for both temporal and spatial extrapolation tests. LSTM generalizes well across regions with distinct climates and environmental settings. With high fidelity to SMAP, LSTM shows great potential for hindcasting, data assimilation, and weather forecasting.
Classification of Solar Wind With Machine Learning
Authors: Camporeale Enrico , Carè Algo , Borovsky Joseph E. 
Published: October 2017

AbstractWe present a four‐category classification algorithm for the solar wind, based on Gaussian Process. The four categories are the ones previously adopted in Xu and Borovsky (2015): ejecta, coronal hole origin plasma, streamer belt origin plasma, and sector reversal origin plasma. The algorithm is trained and tested on a labeled portion of the OMNI data set. It uses seven inputs: the solar wind speed Vsw, the temperature standard deviation σT, the sunspot number R, the F10.7 index, the Alfven speed vA, the proton specific entropy Sp, and the proton temperature Tp compared to a velocity‐dependent expected temperature. The output of the Gaussian Process classifier is a four‐element vector containing the probabilities that an event (one reading from the hourly averaged OMNI database) belongs to each category. The probabilistic nature of the prediction allows for a more informative and flexible interpretation of the results, for instance, being able to classify events as “undecided.” The new method has a median accuracy larger than 90% for all categories, even using a small set of data for training. The Receiver Operating Characteristic curve and the reliability diagram also demonstrate the excellent quality of this new method. Finally, we use the algorithm to classify a large portion of the OMNI data set, and we present for the first time transition probabilities between different solar wind categories. Such probabilities represent the “climatological” statistics that determine the solar wind baseline.