bluuebunny/crossref_metadata_2025 huggingface dataset:
OS IMPACTOS DA CIRURGIA BARIÁTRICA NA RESTAURAÇÃO DA FERTILIDADE EM PACIENTES OBESOS
Authors: Albarez Gabriela Silva , Souza Izabela Cristina Campos de , Cornélio Júlia Soares , Alves João Pedro Ferreira de Oliveira , Feres Ana Beatriz de Castro
Published: September 2023

Introdução: Devido às múltiplas e complexas alterações da fisiologia hormonal ocasionadas pela obesidade, ela está associada à infertilidade em homens e mulheres. Nesse contexto, a cirurgia bariátrica, quando bem indicada e feita de maneira criteriosa, leva a uma perda ponderal substancial que promove uma melhoria das irregularidades menstruais e do perfil metabólico, elevando assim a fertilidade desses pacientes. Objetivos: Objetiva-se com este estudo abordar a relação entre a cirurgia bariátrica e seus possíveis efeitos no processo de restauração da fertilidade em homens e mulheres. Métodos: Trata-se de uma revisão integrativa baseada em artigos publicados nas bases de dados ScieELO e Pubmed nas línguas inglesa e portuguesa entre 2015 a 2023, utilizando os descritores Infertilidade, Cirurgia Bariátrica, Saúde Reprodutiva e Obesidade. Os critérios de inclusão foram estudos que correlacionavam cirurgia bariátrica e fertilidade em homens e mulheres. Estudos não disponibilizados na íntegra foram excluídos. Resultados: A perda ponderal após a bariátrica levou ao aumento dos níveis de testosterona e à redução dos níveis de estradiol em homens, bem como a melhora da viabilidade e volume do esperma, com resultados mais significativos do que em pacientes não submetidos ao tratamento cirúrgico. Em mulheres, se observou o aumento dos níveis de globulina ligadora dos hormônios sexuais (SHBG), redução dos níveis de testosterona e melhora da regularidade dos ciclos menstruais. Viu-se também uma redução do número de pacientes que preenchiam os critérios de Rotterdam para Síndrome do Ovário Policístico (SOP). A maior parte dos estudos incluídos revelou resultados positivos com relação à concepção e gravidez. Conclusão: A cirurgia bariátrica é um método efetivo de perda ponderal, demonstrando melhora dos quadros de infertilidade em pacientes obesos. Contudo, são necessários mais estudos para se estabelecer na prática as indicações dessa operação nesse contexto e determinar se diferentes técnicas cirúrgicas possuem resultados distintos para essa finalidade.
LUDOTERAPIA CENTRADA NA CRIANÇA: A IMPORTÂNCIA DO BRINCAR NO SETTING TERAPÊUTICO
Authors: Souza Lara Martins de , Velozo Laura da Silva
Published: September 2023

Considerando que, por um longo período na história, a infância não era reconhecida como uma fase do desenvolvimento e as crianças eram consideradas “adultos em miniaturas” (Ariès, 1986), entende-se que, com o passar do tempo, a infância foi aos poucos sendo construída socialmente e historicamente, as crianças passaram a ter seus direitos e o desenvolvimento durante essa fase da vida passou a ser melhor estudado e compreendido. Assim, cabe destacar que, a partir do entendimento de tal fase, as brincadeiras passaram a serem vistas como um importante aspecto do desenvolvimento, pois através do brincar, a criança consegue vivenciar sua autenticidade, sendo a aceitação e a compreensão das pessoas ao seu redor fatores importantes para um desenvolvimento saudável. Neste trabalho, objetiva-se compreender a ludoterapia e a importância das brincadeiras durante os atendimentos infantis; conceituar a ludoterapia sob uma perspectiva da Abordagem Centrada na Pessoa; justificar como a criança se expressa a partir de suas brincadeiras; e explicar como o psicólogo pode ser um facilitador no processo de construção da subjetividade da criança. Para tanto, procede- se a análise de diferentes bibliografias presentes em livros, artigos científicos e dissertações através da pesquisa analítica e revisão bibliográfica. Parte-se da hipótese de que, a partir das brincadeiras, a criança vivencia experiências importantes para a formação de sua subjetividade. Antes mesmo de se comunicar com sons, a criança brinca com as pessoas que estão em sua volta, sendo assim, a ludicidade pode ser considerada como sendo a primeira fonte de comunicação infantil.
Representing socio-economic factors in the INFERNO global fire model using the Human Development Index
Authors: Teixeira Joao Carlos Martins , Burton Chantelle , Kelly Douglas I. , Folberth Gerd A. , O'Connor Fiona M. , Betts Richard A. , Voulgarakis Apostolos
Published: September 2023

Abstract. Humans can act as fire starters or suppressors, changing ﬁre regimes by increasing the number of ignitions, changing their timing, and altering fuel structure and abundance, which can be considered a human–environmental coupling. Considering the human influences on fire activity, representing socio-economic impacts on fires in global fire models is crucial to underpin the confidence in these modelling frameworks. In this work we implement a socio-economic factor in the fire ignition and suppression parametrisation in INFERNO based on a Human Development Index (HDI). HDI captures human development's income, health, and education dimensions leading to a representation where if there is more effort to improve human development, the population also invests in higher fire suppression. Including this representation of socio-economic factors in INFERNO reduces the annual mean burnt area (between 1997–2016) positive biases found in Temperate North America, Central America, Europe and Southern Hemisphere South America, by more than 100 % without statistically significant impact to other areas. In addition, it improves the representation of the burnt area trends, especially in Africa. Central Asia and Australia where observations show negative trends. Including socio-economic impacts on fire based on HDI in INFERNO provides a simple and linear representation of these effects on fire ignition and suppression, leading to an improvement of the model performance, especially in developed regions, These impacts are especially relevant to understand future climate regimes and inform policymakers on effects of fire policy in a changing climate.
Do phenomenological dynamical paleoclimate models have physical similarity with Nature? Seemingly, not all of them do
Authors: Verbitsky Mikhail Y. , Crucifix Michel
Published: September 2023

Abstract. Phenomenological models may be impressive in reproducing empirical time series, but this is not sufficient to claim physical similarity with Nature until comparison of similarity parameters is performed. We illustrated such a process of diagnostics of physical similarity by comparing the phenomenological dynamical paleoclimate model of Ganopolski (2023), the van der Pol model (as used by Crucifix, 2013), and the model of Leloup and Paillard (2022) with the physically explicit Verbitsky et al. (2018) model that played a role of a reference dynamical system. We concluded that phenomenological models of Ganopolski (2023) and of Leloup and Paillard (2022) may be considered to be physically similar to the proxy parent dynamical system in some range of parameters, or in other words they may be derived from basic laws of physics under some reasonable physical assumptions. We have not been able to arrive at the same conclusion regarding the van der Pol model. Though developments of better proxies for the parent dynamical system should be encouraged, we nevertheless believe that the diagnostics of physical similarity, as we describe it here, should become a standard procedure to delineate a model that is merely a statistical description of the data from a model that can be claimed to have a link with known physical assumptions. The similarity parameters we advance here as the key dimensionless quantities are the ratio of the astronomical forcing amplitude to the
terrestrial ice sheet mass influx and the so-called V number that is the
ratio of the amplitudes of time-dependent positive and negative feedbacks.
We propose using available physical models to discover additional similarity parameters that may play central roles in ice age rhythmicity.
Finding values for these similarity parameters should become a central
objective of future research into glacial–interglacial dynamics.
A rigorous approach to the specific surface area evolution in snow during temperature gradient metamorphism
Authors: Braun Anna , Fourteau Kévin , Löwe Henning
Published: September 2023

Abstract. Despite being one of the most fundamental microstructural parameters of snow, the specific surface area (SSA) dynamics during temperature gradient metamorphism (TGM) have so far been addressed only within empirical modeling. To surpass this limitation, we propose a rigorous modeling of SSA dynamics using an exact equation for the temporal evolution of the surface area, fed by pore-scale finite element simulations of the water vapor field coupled with the temperature field on X-ray computed-tomography images. The proposed methodology derives from physics' first principles and thus does not rely on any empirical parameter. Since the calculated evolution of the SSA is highly sensitive to fluctuations in the experimental data, we address the impact of these fluctuations within a stochastic error model. In our simulations, the only poorly constrained physical parameter is the vapor attachment coefficient α onto ice. We address this problem by simulating the SSA evolution for a wide range of α and estimate optimal values by minimizing the differences between simulations and experiments. This methodology suggests that α lies in the intermediate range 10-3 < α < 10-1 and slightly varies between experiments. Also, our results suggest a transition of the value of α in one TGM experiment, which can be explained by a transition in the underlying surface morphology. Overall, we are able to reproduce very subtle variations in the SSA evolution with correlations of R2 = 0.95 and 0.99, respectively, for the two considered TGM time series. Finally, our work highlights the necessity of including kinetics effects and of using realistic microstructures to comprehend the evolution of SSA during TGM.
A global fuel characteristic model and dataset for wildfire prediction
Authors: McNorton Joe Ramu , Di Giuseppe Francesca
Published: September 2023

Abstract. Effective wildfire management and prevention strategies depend on accurate forecasts of fire occurrence and propagation. Fuel load and fuel moisture content are essential variables for forecasting fire occurrence and whilst existing operational systems incorporate dead fuel moisture content, both live fuel moisture content and fuel load are either approximated or neglected. We propose a mid-complexity model combining data driven and analytical methods to predict fuel characteristics. The model can be integrated into Earth-System models to provide real-time forecasts and climate records taking advantage of meteorological variables, land surface modelling and satellite observations. Fuel load and moisture is partitioned into live and dead fuels, including both wood and foliage components. As an example, we have generated a 10-year dataset which is well correlated with independent data and largely explains observed fire activity globally. While dead fuel moisture correlates highest with fire activity, live fuel moisture and load are shown to potentially enhance prediction skill. The use of observation data to inform a dynamical model is a crucial first step toward disentangling the contributing factors of fuel and weather to understand fire evolution globally. This dataset, with high spatiotemporal resolution (~9 km, daily), is the first of its kind and will be regularly updated.
Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic-aperture-radar demonstration using airborne SnowSAR in SnowEx17
Authors: Singh Siddharth , Durand Michael , Kim Edward , Barros Ana P.
Published: September 2023

Abstract. A physical-statistical framework to estimate Snow Water Equivalent (SWE) and snow depth from SAR measurements is presented and applied to four SnowSAR flight-line data sets collected during the SnowEx’2017 field campaign in Grand Mesa, Colorado, USA. The physical (radar) model is used to describe the relationship between snowpack conditions and volume backscatter. The statistical model is a Bayesian inference model that seeks to estimate the joint probability distribution of volume backscatter measurements, snow density and snow depth, and physical model parameters. Prior distributions are derived from multilayer snow hydrology predictions driven by downscaled numerical weather prediction (NWP) forecasts. To reduce noise to signal ratio, SnowSAR measurements at 1 m resolution were upscaled by simple averaging to 30 and 90 m resolution. To reduce the number of physical parameters, the multilayer snowpack is transformed for Bayesian inference into an equivalent single- or two-layer snowpack with the same snow mass and volume backscatter. Successful retrievals, defined by absolute convergence backscatter errors ≤ 1.2 dB and local SnowSAR incidence angles between 30° and 45° for X- and Ku-band VV-pol backscatter measurements, were achieved for 75 % to 87 % for all grassland pixels with SWE up to 0.7 m and snow depth up to 2 m. SWE retrievals compare well with snow pit observations showing strong skill in deep snow with average absolute SWE residuals of 5–7 % (15–18 %) for the two-layer (single-layer) retrieval algorithm. Furthermore, the spatial distributions of snow depth retrievals vis-à-vis LIDAR estimates have Bhattacharya Coefficients above 94 % (90 %) for grassland pixels at 30 m (90 m resolution), and values up to 76 % in mixed forest and grassland areas indicating that the retrievals closely capture snowpack spatial variability. Because NWP forecasts are available everywhere, the proposed approach could be applied to SWE and snow depth retrievals from a dedicated global snow mission.
Brief communication: lessons learnt and experienced gained from building up a global survey on societal resilience to droughts
Authors: de Macedo Marina Batalini , Benso Marcos Roberto , Sass Karina Simone , Nardocci Adelaide Cassia , Mendiondo Eduardo Mario , da Silva Greicelene Jesus , da Silva Pedro Gustavo Câmara , Konak Abdullah , Balta-Ozkan Nazmiye , Jacobson Michael
Published: September 2023

Abstract. Drought resilience indexes are essential tools for an evidence-based decision-making process. They can be constructed by enquiring experts about the most relevant indicators. This communication presents the challenges found a priori of creating a global survey with experts in drought. The lessons learned include: (1) the heterogeneity of the conceptual background should be minimized prior the construction of the survey; (2) large number of indicators decreases the engagement of respondents; (3) the format should balance response rate and accuracy, (4) raising diverse experts by knowledge areas, experience and regional representations is difficult, but crucial to minimize biased results.
A comprehensive Earth System Model (AWI-ESM2.1) with interactive icebergs: Effects on surface and deep ocean characteristics
Authors: Ackermann Lars , Rackow Thomas , Himstedt Kai , Gierz Paul , Knorr Gregor , Lohmann Gerrit
Published: September 2023

Abstract. The explicit representation of cryospheric components in Earth System models has become more and more important over the last years. However, there are only few advanced coupled Earth System models that employ interactive icebergs, and most iceberg model studies focus on iceberg trajectories or ocean surface conditions. Here, we present multi-centennial simulations with a fully coupled Earth System model including interactive icebergs to assess the effects of heat and freshwater fluxes by iceberg melting on deep ocean characteristics. The icebergs are modeled as Lagrangian point particles and exchange heat and freshwater fluxes with the ocean. They are seeded in the Southern Ocean, following a realistic present-day size distribution. Total calving fluxes and the locations of discharge are derived from an ice sheet model output which allows for implementation in coupled climate-ice sheet models. The simulations show a cooling of deep ocean water masses in all ocean basins that propagates from the southern high latitudes northward. We also find enhanced deep water formation in the continental shelf area of the Ross Sea, a process commonly underestimated by current climate models. The vertical stratification is weakened by enhanced sea-ice formation and duration due to the cooling effect of iceberg melting. The deep water formation in this region is increased by up to 10 %. By assessing the effects of heat and freshwater fluxes individually, we find latent heat flux to be the main driver of these water mass changes. The altered freshwater distribution by freshwater fluxes and synergetic effects play only a minor role. Our results emphasize the importance of realistically representing both heat and freshwater fluxes in the high southern latitudes.
Weather persistence on sub-seasonal to seasonal timescales: a methodological review
Authors: Tuel Alexandre , Martius Olivia
Published: September 2023

Abstract. Persistence is an important concept in meteorology. It refers to surface weather or the atmospheric circulation either remaining in approximately the same state (quasi-stationarity) or repeatedly occupying the same state (recurrence) over some prolonged period of time. Persistence can be found at many different timescales; however, sub-seasonal to seasonal (S2S) timescales are especially relevant in terms of impacts and atmospheric predictability. For these reasons, S2S persistence has been attracting increasing attention from the scientific community. The dynamics responsible for persistence and their potential evolution under climate change are a notable focus of active research. However, one important challenge facing the community is how to define persistence from both a qualitative and quantitative perspective. Despite a general agreement on the concept, many different definitions and perspectives have been proposed over the years, among which it is not always easy to find one's way. The purpose of this review is to present and discuss existing concepts of weather persistence, associated methodologies and physical interpretations. In particular, we call attention to the fact that persistence can be defined as a global or as a local property of a system, with important implications in terms of methods and impacts. We also highlight the importance of timescale and similarity metric selection and illustrate some of the concepts using the example of summertime atmospheric circulation over western Europe.
ChinaWheatYield30m: a 30 m annual winter wheat yield dataset from 2016 to 2021 in China
Authors: Zhao Yu , Han Shaoyu , Zheng Jie , Xue Hanyu , Li Zhenhai , Meng Yang , Li Xuguang , Yang Xiaodong , Li Zhenhong , Cai Shuhong , Yang Guijun
Published: September 2023

Abstract. Generating spatial crop yield information is of great
significance for academic research and guiding agricultural policy. Existing
public yield datasets have a coarse spatial resolution, spanning from 1
to 43 km. Although these datasets are useful for analyzing large-scale
temporal and spatial change in yield, they cannot deal with small-scale
spatial heterogeneity, which happens to be the most significant
characteristic of the Chinese farmers' economy. Hence, we generated a 30 m
Chinese winter wheat yield dataset (ChinaWheatYield30m) for major winter-wheat-producing provinces in China for the period 2016–2021 with a
semi-mechanistic model (hierarchical linear model, HLM). The yield
prediction model was built by considering the wheat growth status and
climatic factors. It can estimate wheat yield with excellent accuracy and
low cost using a combination of satellite observations and regional
meteorological information (i.e., Landsat 8, Sentinel 2 and ERA5 data from
the Google Earth Engine (GEE) platform). The results were validated using
in situ measurements and census statistics and indicated a stable
performance of the HLM based on calibration datasets across China,
with a correlation coefficient (r) of 0.81 and a relative root mean square
error (rRMSE) of 12.59 %. With regards to validation, the
ChinaWheatYield30m dataset was highly consistent with in situ measurement
data and statistical data (p<0.01), indicated by an r (rRMSE) of
0.72** (15.34 %) and 0.69** (19.16 %). The ChinaWheatYield30m is a
sophisticated dataset with both high spatial resolution and excellent
accuracy; such a dataset will provide basic knowledge of detailed wheat
yield distribution, which can be applied for many purposes including crop
production modeling and regional climate evaluation. The ChinaWheatYield30m dataset generated from this study can be downloaded from https://doi.org/10.5281/zenodo.7360753 (Zhao et al., 2022b).
J-GAIN v1.1: a flexible tool to incorporate aerosol formation rates obtained by molecular models into large-scale models
Authors: Yazgi Daniel , Olenius Tinja
Published: September 2023

Abstract. New-particle formation from condensable gases is a common atmospheric process that has significant but uncertain effects on aerosol particle number concentrations and aerosol–cloud–climate interactions. Assessing the formation rates of nanometer-sized particles from different vapors is an active field of research within atmospheric sciences, with new data being constantly produced by molecular modeling and experimental studies. Such data can be used in large-scale climate and air quality models through parameterizations or lookup tables. Molecular cluster dynamics modeling, ideally benchmarked against measurements when available for the given precursor vapors, provides a straightforward means to calculate high-resolution formation rate data over wide ranges of atmospheric conditions. Ideally, the incorporation of such data should be easy, efficient and flexible in the sense that same tools can be conveniently applied for different data sets in which the formation rate depends on different parameters. In this work, we present a tool to generate and interpolate lookup tables of formation rates for user-defined input parameters. The table generator primarily applies cluster dynamics modeling to calculate formation rates from an input quantum chemistry data set defined by the user, but the interpolator may also be used for tables generated by other models or data sources. The interpolation routine uses a multivariate interpolation algorithm, which is applicable to different numbers of independent parameters, and gives fast and accurate results with typical interpolation errors of up to a few percent. These routines facilitate the implementation and testing of different aerosol formation rate predictions in large-scale models, allowing the straightforward inclusion of new or updated data without the need to apply separate parameterizations or routines for different data sets that involve different chemical compounds or other parameters.
Simulation model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RNDv1.0
Authors: Gil Junsu , Lee Meehye , Kim Jeonghwan , Lee Gangwoong , Ahn Joonyoung , Kim Cheol-Hee
Published: September 2023

Abstract. Nitrous acid (HONO) plays an important role in the
formation of ozone and fine aerosols in the urban atmosphere. In this study,
a new simulation approach is presented to calculate the HONO mixing ratios
using a deep neural technique based on measured variables. The Reactive
Nitrogen Species using a Deep Neural Network (RND) simulation is implemented
in Python. The first version of RND (RNDv1.0) is trained, validated, and
tested with HONO measurement data obtained in Seoul, South Korea, from 2016 to 2021.
RNDv1.0 is constructed using k-fold cross validation and evaluated with
index of agreement, correlation coefficient, root mean squared error, and
mean absolute error. The results show that RNDv1.0 adequately represents the
main characteristics of the measured HONO, and it is thus proposed as a
supplementary model for calculating the HONO mixing ratio in a polluted
urban environment.
Changes in the Gulf Stream path over the last three decades
Authors: Sánchez-Román Antonio , Gues Flora , Bourdalle-Badie Romain , Pujol Marie-Isabelle , Pascual Ananda , Drévillon Marie
Published: September 2023

Abstract. The Gulf Stream transports warm waters into the subpolar eastern North Atlantic, having an impact on Europe's climate. In the next century the Gulf Stream is expected to both reduce its speed and displace northward in response to climate change. This study investigates the changing pattern of the Gulf Stream over the last three decades as observed in the altimetric record (1993–2021) using monthly-averaged altimetry maps together with the outputs from a numerical model. The yearly evolution of the coordinates (destabilization point) where the Gulf Stream begins meandering and converts from a stable to an unstable detached jet is investigated. The location of this destabilization point presents an interannual variability and has varied by more than 1400 km in longitude and 300 km in latitude in the altimetric era. Changes in the Gulf Stream path impact both associated mesoscale Eddy Kinetic Energy and waters transported towards the subpolar North Atlantic. The observed shifts of the path destabilization point seem to be linked to North Atlantic Oscillation variability during winter that may play an important role: it presents a negative shift from positive to negative phase between 1993 and 2011; and an opposite behavior from negative to positive phase from 2011 in agreement with the respectively south-westward and north-eastward observed migration of the destabilization point.
The Intersection of Tradition and Choice: A Study of Spouse Selection in Pakistan’s Nomadic Tribe
Authors: Qadeer Abdul , Sharif Abida , Sadaf Fouzia
Published: September 2023

In an intricate examination of spouse selection within the Bagri tribe, a nomadic community in Pakistan, this study dissects the multi-tiered, socio-cultural dynamics that govern matrimonial decisions. Drawing upon qualitative research, comprising in-depth interviews with 15 respondents from the Bagri tribe in Balochistan and Sindh provinces, the study illuminates the tripartite influence of spouses, parents, and the tribal council known as "Panchayat." The findings unearth a hierarchy of authority, with spouses wielding minimal influence, parents exerting substantial control, and the Panchayat often having the final say. Contrasting the male and female roles, the study observes a gender-based disparity where men possess a slightly greater agency in spouse selection. Moreover, the process is steeped in culturally rich rituals and symbolic gestures, such as "Shagun" and engagement ceremonies, reflecting the tribe's social ethos. The paper situates these practices within theoretical frameworks such as Social Conflict Theory, Family System Theory, and Social Exchange Theory, offering a nuanced understanding of how decisions regarding marital unions are negotiated, ritualized, and enacted. Comparing these patterns with other cultural contexts, the study contributes an enriched perspective to the existing body of knowledge on spouse selection, emphasizing the complex interplay between individual choice, familial dictates, community norms, and traditional customs.
РОЛЬ ЦИФРОВЫХ ТЕХНОЛОГИЙ ДЛЯ ПРИНЯТИЯ УПРАВЛЕНЧЕСКИХ РЕШЕНИЙ В СЕЛЬСКОМ ХОЗЯЙСТВЕ
Authors: Tokenova S. , Baibasheva G. , Kaidarova S. , Nurgalieva Zh. , Токенова С.М. , Байбашева Г.К. , Кайдарова С.Е. , Нургалиева Ж.Е.
Published: September 2023

This article discusses the effectiveness, necessity and prospects of the introduction of resource-saving technologies in agriculture in the modern economic conditions of the Republic of Kazakhstan. The topic of the article reveals the relevance of the use of modern digital technologies for the cultivation of grain crops. The need to abandon the classical technology, which entails a loss of yield of up to 15%, and also negatively affects the soil cover of the earth, that is, provokes soil erosion, is justified. And also analyzed the condition of the technical park, the wear of which is more than 50%, which also negatively affects the economic condition of agro-industrial complexes. Reasonable use of resource-saving technologies helps to reduce fuel costs, significantly reduces the need for tillage before sowing, thereby saving money, and also increases the yield of cultivated crops and, accordingly, the level of profitability. According to the results of the study, appropriate conclusions are drawn.

В данной статье рассматривается эффективность, необходимость и перспективы внедрения в сельское хозяйство ресурсосберегающих технологии, в сложившихся экономических условиях Республики Казахстан. Тема статьи раскрывает актуальность применения современных цифровых технологий для возделывания зерновых культур. Обосновывается необходимость отказа от классической технологии, которая влечет за собой потерю урожайности до 15%, а также воздействует негативно на почву и плодородие земли, то есть провоцирует эрозию почвы. А также проанализировано состояние технического парка, износ которого составляет более 50%, что также негативно отражается на экономическом состоянии агропромышленных комплексов. Обоснованное применение ресурсосберегающих технологий способствует снижению затрат на топливо, позволяет значительно снизить потребность в обработке почвы перед посевом, тем самым экономя средства, а также повышает урожайность возделываемых культур и уровень рентабельности. Сделаны соответствующие выводы по результатам исследования
RESEARCH OF CONSUMERS’ BEHAVIOR AND PSYCHOTYPES WITHIN THE LUXURY HOUSING MARKET
Authors: Смыкова М.Р. , Казыбаева А.М. , Дущанова М.С. , Солтангазинов А.Р. , Smykova M. , Kazybayeva A. , Duchshanova M. , Soltangazinov A.
Published: September 2023

Цель исследования: выявленыпсихотипы потребителей и их потребительских предпочтений для построения эффективных коммуникаций и взаимоотношения с ними. С помощью теоретическогоанализа моделей психотипов определено, что наиболее привлекательной для рынка элитного жилья является система VALS, которая делит потребителей по критериям типа образа жизни и ценностей клиента. В результате исследования изучены особенности процесса принятия решения о покупке при приобретении элитных коттеджей; выявленыфакторы, которые оказывают влияние при выборе элитного жилья; определены потребительские предпочтения по выбору каналов продаж; исследованыпотребительские ожидания по параметрам коттеджного городка (таким как площадь земельного участка, отношение к инфраструктуре, особенностями планировки коттеджа и т.д.); проанализированы портретыпсихотипов и их характеристика по ожиданиям и предпочтениям и оцененыинструменты и методыкоммуникаций с потенциальными потребителями элитного коттеджного городка. Метод исследования: глубинное интервью. Для проведения глубинного интервью выборка составила 15 респондентов. В процессе глубинного интервью определены, не только какие имеются четкие и точные ожидания потребителей к коттеджному городку, но и какими мотивами руководствуются респонденты, определеныскрытые мотивы, которые выходят за рамки стандартных требований.

Research objective: the psycho-types of consumers and their consumer preferences are identified in order to build effective communications and relationships with them. Through theoretical analysis of psycho-types models, it was determined that the most attractive for the luxury housing market is the VALS system, which divides consumers according to the criteria of the type of lifestyle and values of the client. The peculiarities of purchase decision making process when purchasing elite cottages were studied; the factors that influence the selection of elite housing were identified; consumer preferences regarding the selection of sales channels were determined; consumer expectations regarding cottage town parameters (such as land plot area, attitude to infrastructure, cottage layout features, etc.) were studied; portrait psychotypes and their characteristic in expectations and preferences were analysed; tools and techniques were evaluated. Research method: in-depth interview. The sample for in-depth interview was 15 respondents. The in-depth interview process identified not only what clear and precise consumer expectations for the cottage town are, but also what motivations guide the respondents, identifying ulterior motives that go beyond the standard requirements.
QUANTITATIVE PARAMETERS OF SCIENTIFIC AND INNOVATIVE DEVELOPMENT OF PUBLIC SECTOR BRANCHES OF THE REPUBLIC OF KAZAKHSTAN
Authors: Бопиева Ж.К. , Улыбышев Д.Н. , Кенжебеков Н.Д. , Кабдыбай А.К. , Bopiyeva Zh. , Ulybyshev D. , Kenzhebekov N. , Kabdybai A.
Published: September 2023

В статье предпринята попытка комплексной оценки параметров научно-инновационного развития общественного сектора Республики Казахстан. Оценка научного потенциала и результативности его использования осуществлялась на основе оценки объемов и структуры затрат на научные исследования по источникам финансирования, объемов и структуры затрат на НИОКР по видам наук, объемов и структуры затрат на исследования и разработки по секторам, а также структуры валовых затрат на исследования и разработки по видам экономической деятельности. Выявлено, что общественный сектор в целом лучше обеспечен ресурсами для проведения научных исследований, чем прочие сектора национальной экономики Казахстана. Динамика инновационной активности в общественном секторе осуществлялась на основе оценки структуры затрат на внедрение инноваций по источникам финансирования, структуры затрат на технологические инновации по видам экономической деятельности и структура реализованной инновационной продукции по отраслям национальной экономики Казахстана. Обосновано, что инновационная активность в общественном секторе республики значительно ниже, чем в прочих ее секторах, в особенности в обрабатывающей промышленности, что приводит к низкой конкурентоспособности производимых общественных благ.

The article attempts a comprehensive assessment of parameters of scientific and innovative development of the public sector of the Republic of Kazakhstan. The assessment of scientific potential and effectiveness of its use was carried out on the basis of an assessment of the volume and structure of research costs by sources of funding, the volume and structure of R&D costs by type of science, the volume and structure of research and development costs by sector, as well as the structure of gross research and development costs by type of economic activity. It is revealed that the public sector as a whole is better provided with resources for scientific research than other sectors of the national economy of Kazakhstan. The dynamics of innovative activity in the public sector was carried out on the basis of an assessment of the structure of costs for innovation by sources of financing, the structure of costs for technological innovations by types of economic activity and the structure of innovative products sold by sectors of the national economy of Kazakhstan. It is proved that innovative activity in the public sector of the republic is significantly lower than in other sectors, especially in the manufacturing, which leads to low competitiveness of the produced public goods.
An Unusual Case of Unilateral Upper Limb Deep Vein Thrombosis
Authors: Arthanareeswaran S. , John Dency , Jayaprakash K.
Published: September 2023

Subclavian vein thrombosis is rare upper extremity deep vein thrombosis that comprises 1- 4% or all DVT; it has a potential for considerable morbidity in the form of pulmonary embolism, persistent upper extremity pain and swelling, superior vena cava syndrome and loss of vascular access. Here we report a case of an active, healthy 60-year-old male who presented with left upper limb pain and swelling,his hypercoagulability profile was with in normal limit, but CT angiography revealed left subclavian vein thrombosis, he was successfully managed with anticoagulation, antiplatelet and statin therapy.

Key words: Deep vein thrombosis, CT Angiography, Anticoagulation therapy.
Evaluation of Vertical Magnification of a Digital Panoramic Machine Kodak 8000 for Implant Planning in Complete Edentulous Patients
Authors: Dwivedy Shweta , Chandra Sunira , Tayde Nivedita
Published: September 2023

To evaluate the variation in vertical magnification of digital panoramic machine Kodak 8000 Panoramic System in relation to different regions of maxillary and mandibular edentulous arches and to compare this variation in magnification. The study sample of 40 patients was divided into 2 different groups (20 each) depending upon the two different diameters of metallic spheres i.e., 3mm & 6mm used as radiographic reference. Each group was further subdivided into 2 subgroups depending upon the arch of placement of metallic sphere. The metallic spheres were placed in 4 different regions of maxilla and mandible. Digital panoramic radiograph was obtained and was subjected for measurement using Trophy Dicom Software. Data was analyzed statistical analysis by paired “t” test and student “t” test. The present study has established that there is variation in magnification both in vertical and horizontal direction for maxilla and mandible. In maxillary arch vertical magnification rate shows lowest values for 3mm spheres in right posterior, right and left anterior regions. In mandibular arch vertical magnification shows lowest values for 3mm spheres in right and left posterior, right anterior regions. The vertical magnifications in posterior regions were higher than anterior region. On comparing the magnification of maxilla and mandible, values were higher in maxilla. The study concludes that radiographic reference objects (use of metallic spheres) can be used as a steady method for radiographic assessment in edentulous patients, as there is variation in the magnification in both maxillary and mandibular arch area specifically.

Key words: panoramic, radiography, magnification, digital radiography, edentulous
Individualized Homoeopathic Treatment in Tinea Faciei - A Case Report
Authors: Papiah Sammaia , Thounaojam Nanao , Kharbuli Bethshida
Published: September 2023

Tinea faciei is a superficial dermatophyte infection limited to any surface of the face, including upper lip and chin. A 41 years old female patient presented with the complaints of red and circular rashes on both sides of her face with severe itching of the face for 1 month. Homoeopathic medicine Tellurium was prescribed by considering the totality of the case. The improvement was evident when comparison of the photographs was made taken before and after the treatment. Marked improvement was seen which shows the effectiveness of homoeopathic medicine Tellurium in treating Tinea faciei.

Key words: Homoeopathy, tellurium, tinea faciei
Effects of N-Power Programme on Poverty Reduction and Unemployment in Nigeria: Evidence From Data
Authors: U.R. Akpan , J.M. Essien , M.O. Essien
Published: September 2023

The effects of the N-power programme on poverty reduction and unemployment in Nigeria are investigated in this paper. Secondary data from 2004 to 2021 were employed but in comparison of two periods. Charts, Graph, Tables and Student t-test developed by Fisher were employed in analyzing the data. The result from the stylized facts revealed that there was an insignificant reduction in poverty rates as poverty rates during N-power average 41.26% and fluctuate within the six years of implementation of the programme. The p-value of 0.1748 which is higher than 0.05 confirmed that there is no statistical significant difference between poverty reductions in the two periods. The result also shows that N-power programme has not been effective in curbing unemployment as the rate of unemployment keeps increasing in the country. For N-Power to be effective in curbing poverty and unemployment, this paper recommends that government should have a transitional plan for beneficiaries, for the programme to a long term employment. This can be achieved by creating employment opportunities for beneficiaries within the ministries and agencies of governments, and encouraging the private sector to absorb the beneficiaries after some periods of training. Beneficiaries can also be given interest-free loans and mentorship to start their own small businesses and to employ others. Where this is not possible within the stipulated period, beneficiaries of the N-power should be made to stay on the programme until they find paid employment rather than lay them off to the labour market after two years without adequate plan to keep them off the poverty trap.
An Analysis of the Relationship Between Emotional Intelligence and Algebraic Problem Solving Ability of Secondary School Students in Sokoto, Nigeria
Authors: Julius Elizabeth
Published: September 2023

The purpose of this study is to determine the relationship between emotional intelligence and the algebraic problem-solving ability of secondary school students in Sokoto state, Nigeria. 100 respondents were used as the sample for the survey at two secondary schools in Sokoto, Nigeria. The targeted respondents were the senior secondary two (SSII) students. The findings of the study showed that there is a moderate relationship between the emotional intelligence of the students and their algebraic problem-solving ability. It was also discovered that male students have a low relationship in their emotional intelligence and algebraic problem-solving ability compared to female students whose emotional intelligence and algebraic problem-solving ability were found to be moderate.
Main challenges (generation and returned energy) in a deep intelligent analysis technique for renewable energy applications.
Authors: Al-Janabi Samaher , Mohammed Ghada S. , Abbas Thekra
Published: September 2023

In recent years, there has been an increasing demand for Renewable Energy (RE), which refers to energy generated from natural sources such as solar and wind power. Consequently, numerous scientific studies have been conducted to explore various approaches for controlling this type of energy. This work aims to highlight the main challenges associated with the generation and return of RE by employing intelligent data analysis techniques, specifically deep learning. These challenges are examined from different perspectives, including pre-processing, the methodology and techniques used in deep learning, and the evaluation measures employed. Some of the research in this area is focused on predicting the highest amount of energy that can be generated at a particular time and location, while others aim to predict the largest amount of electrical energy that can be returned to the electricity grid to optimize the use of surplus RE resources and maximize their benefits. These efforts are crucial to ensure the effective and continuous operation of the electrical grid. However, despite the efficiency and high accuracy of these models, they are hindered by complex calculations that require considerable time to produce the desired outcomes. Additionally, numerous measures are employed to evaluate the models' performance, including assessing their completion rate, quality of performance, accuracy of results, efficiency, error rate, feasibility of investing in RE, and the largest amount of surplus energy that can be returned to the electricity generation network.
The Lullaby’s Utopian Function and the Green Utopian Imagination in Suzanne Collins’s The Hunger Games Trilogy
Authors: Chen Aihua , Li Yue
Published: September 2023

The lullaby “The Meadow Song” in Suzanne Collins’s The Hunger Games trilogy provides a narrative fulcrum and plays a vital role in reinforcing these novels’ thematic concern. However, extant criticism has not given due attention to its utopian function. Drawing upon Ernest Bloch’s philosophy of music and other critics’ theories on green utopia, this article intends to argue that the lullaby fulfills the utopian function of fueling Katniss’s and other rebels’ utopian imagination to fight for a better world of justice, equality, and freedom. It also posits that the green utopian community inspired by the lullaby in the last book of the trilogy functions not as an escapist pursuit, but as a micropolitical alternative in an era of global capitalism.
The Type of Tobacco Consumption Habits & Related Health Problem Among the Tobacco Users – A Retrospective Study
Authors: Muna Lazina , Sheikh Md Abdul Hannan , Sarkar Prokash Chandra , Jagidar Fahim Iqbal
Published: September 2023

Background: Tobacco is the leading preventable cause of death in Bangladesh and worldwide. Tobacco use leads most common diseases affecting the heart and lungs. Smoking being a major risk factor for heart attacks, strokes, chronic obstruc-tive pulmonary disease (COPD), emphysema, and cancer. The aim of this study was to evaluate tobacco consump tion habits among users and identify associated health problems. Material & Methods: This cross-sectional study was conducted in the Department of Health Education of National Institute of Preven-tive and Social Medicine, Dhaka, Bangladesh. Results: In total respondents who were adult male and female were included in the study. We found the Mean ± SD of age was 38.93 ±2.04. According to Sex, 89.30% were male and 10.70% were female and the majority 103.36% respondents of pattern of tobacco consumtion were smokless. 58.68% consumed Zarda, 54.67% cigarette, 27.34% Gul, 17.34% white tobacco, 8.67% Bidi, and rest of 3.34% consumed tobacco as various method. Tobacco con-sumption showed that a majority of knowledge of problem 50.67% were had cough and health problem the majori-ty 34.67% had dental pain. Conclusion: Health problem of tobacco use among the respondents they still consumed tobacco, so an effective awareness pro-gram to discourage the consumption of tobacco to protect people from the devastating consequences of tobacco usages for own and for the passive smoker.