bluuebunny/crossref_metadata_2025_split huggingface dataset:
A PROPORÇÃO E A PROFESSORA DE MATEMÁTICA DA EJA.
Authors: Santos Palma Nascimento Josenaide , Pinto Magina Sandra Maria , Jesus Oliveira Jonas 
Published: October 2023

Este artigo objetiva refletir sobre a concepção de proporcionalidade, apresentada por uma professora de Matemática da EJA, considerando a livre elaboração e resolução de seis problemas sobre o conteúdo. O estudo interessa-se por identificar a compreensão dessa professora sobre o tema, sem perder de vista que se trata apenas de um retrato, um momento, dela. Acreditamos que subjaz em seu proceder sua concepção de ensino sobre a proporcionalidade. Metodologicamente, trata-se de um estudo de caso. No tocante à resolução dos problemas, observou-se que a professora valida apenas a utilização da regra de três, mesmo quando implicitamente fez uso de outros procedimentos, como o escalar multiplicativo. Chama a atenção, ainda, a ausência de referentes em algumas respostas, o uso de unidades distintas para uma mesma grandeza, não explicitação da operação utilizada, denotando um “descuido” em sua elaboração e uma “despreocupação” na resolução e/ou apresentação das respostas.
Palavras chave: Educação Matemática; Concepção de Ensino; EJA e Proporção Simples.
Physico-chemical Characteristics and the Effects of Processing Methods on the Nutritional and Anti-nutritional Quality of Soybean (Glycine max (L.) Merrill)
Authors: Chuwa Caresma , Dhiman Anju K , Saidia Paul , Issa-Zacharia Abdulsudi 
Published: October 2023

The present investigation was carried out to determine the physico-chemical characteristics and effects of processing methods on the nutritional and anti-nutritional quality of soybeans. Soybean seeds were analysed using physico-chemical approaches, in order to obtain a detailed profile on these qualities. The effects of processing methods on the nutritional and anti-nutritional quality of soybean had an impact on the nutritional and anti-nutritional values. Soybeans were subjected to different processing methods which were sorted, washed, dried, and milled into flour (Sample A- Control), soaked in water (1:3) for 12h, mechanically dried at 60 ± 2 oC for 10 h and milled into flour (Sample B), soaked in water (1:3) for 12h, sprouted 72 h, mechanically-dried at 60 ± 2 oC for 10 h, roasted for 3 min and milled into flour (Sample C), boiled for 30 min in an open lid, mechanically-dried at 60 ± 2 oC for 10 h, roasted for 3 min and milled into flour (Sample D). The study revealed that raw soybean seeds had 90.43 ±3.93 g seed weight, 6.31 ± 0.41 mm length, 5.50 ± 0.29 mm breadth,4.58 ± 0.35 mm height, 0.88 ± 0.04 mm sphericity, 753.01 ± 6.62 kg/ m3 bulk density, 1181.03 ± 11.72 kg/ m3 true density, 36.33 ± 0.79 % porosity, 0.13 ± 0.005 g/seed hydration capacity, 1.25 ± 0.07 hydration index, 0.12 ± 0.01 mL swelling capacity, 1.62 ± 0.05 swelling index. The colour was recorded to be (L* 59.52, a* 8.97, b* 34.01), Chroma (c*) 35.17, and hue angle (ho) 9.84. After processing, moisture content increased (10.61 - 12.43 %), crude protein (42.97– 47.87 %), crude fibre (9.44 - 11.57 %), ascorbic acid (5.38 - 11.65 mg/ 100 g), and ash content (4.84-5.99 %) while total carbohydrates and total energy decreased significantly (17.70 - 15.92 %) and (439.69 - 397.82 %), respectively. Similarly, the phytic acid content decreased from 8.12 to 5.19 mg/100 g while the tannin decreased from 25.34 to 18.57 % and the protease inhibitor decreased from 7.12 to 5.01 %. The overall results of the current study revealed that the processing methods of soybeans had an impact on the nutritional and anti-nutritional values. Further, the study showed that processing methods can significantly improve the nutritional qualities of soybeans while substantially reducing their anti-nutritional properties, thereby boosting the nutrients' bioavailability.
A Review: Pulses Production, Productivity, Status and Way Forward for Enhancing Farmers Income of Bundelkhand Region, India
Authors: Prajapati Deepak , Gaur Amar Singh , Pathak Jagannath , Mishra Suraj , Kumar Ashutosh , Yadav Krishnanand , Kumar Sarvesh 
Published: October 2023

Total pulses area in Uttar Pradesh, contributes of pulses through the Bundelkhand region, more than half but the productivity is low because lack of technological approaches for pulse growing area. This review paper assessed the cultivation of pulses production, productivity and area, of Bundelkhand and in India also. The technologies and infrastructure need to be accepted pulses cultivation and accurate policies for the farmers through government. Pulses are next to cereals regarding their nutritional and economic significance to human health. The pulses crop highly water sensitive like chickpea, lentil, mung bean and black gram are dominant in drought prone areas and improve soil fertility by fixing atmospheric nitrogen. Rainfed Agriculture has emerged as an opportunity in raising pulse production which is depend on amount and distribution of rainfall growing area. The cropping system of pulses cultivation year-after-year has observed that incidence of disease, insect-pests and weeds increase in Bundelkhand region. In pigeon pea, chickpea and lentil crops, important biotic agent for affecting production. United Nations declared 2016 ' "International Year of Pulses" was to increase production and consumption of pulses 10% by 2025 and raise public awareness towards health through social media. The many initiatives schemes govern by government of India for increase the pulses growing area and production such as ISOPOM (Integrated Scheme of Oilseeds, Pulses, Oil palm and Maize) (2004-05 to 2009-10), NFSM Pulses (National Food Security Mission, 2007-08), for Technology demonstration. The Bundelkhand regions as 5 lakhs farmers of 14 districts of two states of Madhya Pradesh and Uttar Pradesh should be linked with Rani Lakshmi Bai Central Agricultural University (RLBCAU) and benefited from this university to produce pulses.
Optimizing Garlic (Allium sativum) Yield through Irrigation Scheduling and Nitrogen Management
Authors: Sahu Kishor Kumar , Sharma J. C. , Sanadya Sanjay Kumar 
Published: October 2023

Background and Aim: Efficient utilization of natural resources, such as water and nutrients, plays a pivotal role in enhancing crop yield and overall productivity. This research aims to develop an efficient irrigation schedule and nitrogen and irrigation interaction effect to achieve higher productivity along with water use efficiency in garlic.
Place and Duration of Study: To delve into the intricate interaction between water and nitrogen use efficiency in garlic cultivation, a two-year-long experiment was conducted.
Methodology: The experiment consisted of twelve treatment combinations, encompassing four distinct irrigation schedules (I0 as the control, I1 with 4 cm irrigation at an IW/CPE ratio of 0.8, I2 at 1.0, and I3 at 1.2) and three nitrogen levels (N0 as the control, N1 at 75%, and N2 at 100% of the recommended nitrogen dose).
Results: These treatments were replicated thrice using a factorial randomized block design. Notably, the irrigation schedule I3 exhibited a significant increase in nitrogen use efficiency, consequently resulting in higher garlic yields compared to the control irrigation (I0). Given the substantial difference in bulb yield observed in the I3 level (136.0 q/ha) compared to the control, it can be considered an efficient irrigation schedule for garlic cultivation. Among the tested nitrogen levels, N2 emerged as the most favorable, yielding significantly higher garlic production. The treatment combination of I3N2 recorded the highest bulb yield, boasting a remarkable increase of 64.5% over the control.
Conclusion: In summary, this study underscores the effectiveness of the I3N2 treatment combination for achieving robust growth and increased garlic yields while optimizing the utilization of irrigation water and nitrogen resources.
Growth and Yield of Tea (Camellia sinensis) as Influenced by Nano Urea during Pre and Post Pruning Opertation
Authors: Saikia Plabita , Gogoi Aditi Smith 
Published: October 2023

The growth and yield parameters of tea on mature plants of TV 23 clone were studied after application of Nano-urea as foliar spray at Experimental Garden for Plantation Crops, Assam Agricultural University, Jorhat during the period 2021-22.
Bud breaking number and time attain to tipping height were two growth parameters observed after pruning operation was carried out. Numbers of bud break was counted 30 days, 40 days and 50 days after pruning respectively. After 50 days maximum bud breaking number (106/ plant) was observed in 0.5% Nano-urea applied plot. To attain that height, lesser time was required (51 days) by the same plot. Plucking density, fine leaf count and green leaf yield were three yield parameters observed during first, second and rain flush. Plucking point density was found maximum (50 no/m2) during rain flush where 0.4% Nano-urea applied in 3 sprays. Fine leaf count was found maximum during first flush than it decreasing during second flush and rain flush respectively. The green leaf yield was found high in the plot where 0.4% Nano-urea applied in 3 sprays during rain flush.
Evaluation of Environmental and Social Impacts of the Extraction Quarry of Raw Materials: Case of the ETOA Clay Quarry, Yaounde 3
Authors: Mbog Séverin Mbog , Bitondo Dieudonne , Duna Linda Lekuna 
Published: October 2023

This research work is based on the evaluation of environmental and social impacts of the extraction quarry of raw materials at the Etoa clay quarry in Yaounde III and to propose measures aimed at reducing the different negative impacts.
This work was carried out during the period of June 2015 to February 2016 followed by an appropriate methodology to meet the outlined objectives:(1) using the matrix of Leopold and Martin fecteau for the identification and evaluation of impacts, (2) cartography of study zone using ERDAS and QGIS and (3) questionnaire surveys to acquire water consumption demographics were all part of our study. It consisted of under taking site visits to the clay quarry, take pictures, and make household surveys and direct observations, analysis and interpretation of collected data.
The results show that, extraction of clay from this area has negative impacts of 76.2% with the most significant on the environment being soil degradation, loss of biodiversity and farmland. Globally, most of the negative impacts are irreversible. The positive impacts are of 23.8% and the most important are, construction of acces road to the clay quarry, protection of the entire clay quarry, creation of job opportunities and increase in economic activities. As a measure to mitigate the negative impacts, shrubs will be planted round the site and exploitation will follow an exploitation plan to create acces in to the quarry. At the end of the extraction of clay this area will be transformed in to fish farming and those whose crops will be touched will be compensated.
The different mitigation measures proposed are to reduce or if possible repair all the negative impacts (all the residual negative impacts will all have a minor importance) and this will lead to the acceptance of this project in the area on an environmental point of view and will contribute to the promotion of the sustainable development of Etoa and its environs.
Health Care Staff Turnover and Quality of Care at Nursing Homes
Authors: Shen Karen , McGarry Brian E. , Gandhi Ashvin D. 
Published: October 2023

ImportanceTurnover in health care staff may disrupt patient care and create operational and organizational challenges, and nursing home staff turnover rates are particularly high. Empirical evidence on the association between turnover and quality of care is limited and has typically relied on low-quality measures of turnover, small and selected samples of facilities, and comparisons across facilities that are highly susceptible to residual confounding.ObjectiveTo quantify the association between nursing home staff turnover and quality of care using within-facility variation over time in reliable turnover measures available for virtually all US nursing homes.Design, Setting, and ParticipantsIn this cross-sectional study, data from the Centers for Medicare &amp;amp; Medicaid Services on health inspection citations and quality measures at US nursing homes were combined with turnover measures constructed from daily staffing payroll data for quarter 2 of 2017 (April 1 to June 30) to quarter 4 of 2019 (October 1 to December 31), covering 1.06 billion shifts for 7.48 million employment relationships at 15 869 facilities. A 2-way fixed-effects design was used to estimate the association between staff turnover (direct care nursing staff and administrators) and quality-of-care outcomes based on how the same facility performed differently in times of low and high turnover. Data analysis was performed from September 2022 to August 2023.ExposuresFacility turnover, defined as the share of hours worked in a period by staff hired within the last 90 days.Main Outcomes and MeasuresNumber, type, scope, and severity of health inspection citations, overall health inspection scores, and Nursing Home Compare quality measures.ResultsThe study sample included 1.45 million facility-weeks between April 1, 2017, and December 31, 2019, corresponding to 13 826 unique facilities. During an average facility-week, 15.0% of nursing staff and 11.6% of administrators were new hires due to recent turnover. After both administrator turnover and the overall staffing level were controlled for, an additional 10 percentage points in nursing staff turnover in the 2 weeks before a health inspection was associated with an additional 0.241 (95% CI, 0.084-0.399) citations in that inspection, compared with a mean of 5.98 citations. An additional 10 percentage points in nursing staff turnover was associated with a mean decrease of 0.035 (95% CI, 0.023-0.047) SDs in assessment-based quality measures and 0.020 (95% CI, 0.001-0.038) SDs in claims-based quality measures, with the strongest associations found for measures related to patient functioning.Conclusions and RelevanceWithin-facility variation in staff turnover was associated with decreased quality of care. These findings suggest that efforts to monitor and reduce staff turnover may be able to improve patient outcomes.
Autoimmune and Autoinflammatory Connective Tissue Disorders Following COVID-19
Authors: Lim Sung Ha , Ju Hyun Jeong , Han Ju Hee , Lee Ji Hae , Lee Won-Soo , Bae Jung Min , Lee Solam 
Published: October 2023

ImportanceMultiple cases of autoimmune and autoinflammatory diseases after COVID-19 have been reported. However, their incidences and risks have rarely been quantified.ObjectiveTo investigate the incidences and risks of autoimmune and autoinflammatory connective tissue disorders after COVID-19.Design, Setting, and ParticipantsThis was a retrospective population-based study conducted between October 8, 2020, and December 31, 2021, that used nationwide data from the Korea Disease Control and Prevention Agency COVID-19 National Health Insurance Service cohort and included individuals who received a diagnosis of COVID-19 via polymerase chain reaction testing and a control group with no evidence of COVID-19 identified from National Health Insurance Service of Korea cohort. Data analysis was conducted from September 2022 to August 2023.ExposuresReceipt of diagnosis of COVID-19.Main Outcomes and MeasuresThe primary outcomes were the incidence and risk of autoimmune and autoinflammatory connective tissue disorders following COVID-19. A total of 32 covariates, including demographics, socioeconomic statuses, lifestyle factors, and comorbidity profiles, were balanced through inverse probability weighting. The incidences and risks of autoimmune and autoinflammatory connective tissue disorders were compared between the groups using multivariable Cox proportional hazard analyses.ResultsA total of 354 527 individuals with COVID-19 (mean [SD] age, 52.24 [15.55] years; 179 041 women [50.50%]) and 6 134 940 controls (mean [SD] age, 52.05 [15.63] years; 3 074 573 women [50.12%]) were included. The risks of alopecia areata (adjusted hazard ratio [aHR], 1.12; 95% CI, 1.05-1.19), alopecia totalis (aHR, 1.74; 95% CI, 1.39-2.17), antineutrophil cytoplasmic antibody–associated vasculitis (aHR, 2.76; 95% CI, 1.64-4.65), Crohn disease (aHR, 1.68; 95% CI, 1.31-2.15), and sarcoidosis (aHR, 1.59; 95% CI, 1.00-2.52) were higher in the COVID-19 group. The risks of alopecia totalis, psoriasis, vitiligo, vasculitis, Crohn disease, ulcerative colitis, rheumatoid arthritis, adult-onset Still disease, Sjögren syndrome, ankylosing spondylitis, and sarcoidosis were associated with the severity of COVID-19.Conclusions and RelevanceIn this retrospective cohort study, COVID-19 was associated with a substantial risk for autoimmune and autoinflammatory connective tissue disorders, indicating that long-term management of patients with COVID-19 should include evaluation for such disorders.
Depressive Symptoms and Mortality Among US Adults
Authors: Zhang Zefeng , Jackson Sandra L. , Gillespie Cathleen , Merritt Robert , Yang Quanhe 
Published: October 2023

ImportanceDepression is a common mental health disorder in the US. Depressive symptoms have been associated with increased cardiovascular disease incidence and mortality, but studies have largely focused on narrow population subgroups.ObjectiveTo examine the association between depressive symptoms and mortality in a large, diverse, nationally representative sample of US adults, and to examine how lifestyle factors mediate this association.Design, Setting, and ParticipantsThis was a prospective cohort study of a nationally representative sample of US adults using National Health and Nutrition Examination Survey 2005 to 2018 data linked with the National Death Index through 2019 for adults aged 20 years and older. Data were analyzed between March 1 and May 26, 2023.Main Outcomes and MeasuresAll-cause, cardiovascular disease, and ischemic heart disease mortality. Depressive symptoms were defined by Patient Health Questionnaire-9 scores and were categorized as none or minimal, mild, and moderate to severe. Secondarily, we assessed degree of mediation by lifestyle factors.ResultsA total of 23 694 participants were included (unweighted n = 11 862 male [weighted 49.8%]; mean [SE] age, 44.7 [0.24] years). Prevalences of mild and moderate to severe depression were 14.9% and 7.2%, respectively. For all-cause mortality, hazard ratios were 1.35 (95% CI, 1.07-1.72) for mild depressive symptoms vs none and 1.62 (95% CI, 1.24-2.12) for moderate to severe depressive symptoms vs none. The corresponding hazard ratios were 1.49 (95% CI, 1.11-2.00) and 1.79 (95% CI, 1.22-2.62) for cardiovascular disease mortality and 0.96 (95% CI, 0.58-1.60) and 2.21 (95% CI, 1.24-3.91) for ischemic heart disease mortality. The associations were largely consistent across subgroups. Approximately 11.0% to 16.1% of the associations between depression and mortality could be explained by lifestyle factors. Feeling tired or having little energy, poor appetite or overeating, and having little interest in doing things were independently associated with all-cause and cardiovascular disease mortality but not with ischemic heart disease mortality.Conclusions and RelevanceIn this prospective cohort study of a nationally representative sample of US adults, there was a graded positive association between depressive symptoms and mortality. Public health efforts to improve awareness and treatment of depression and associated risk factors could support a comprehensive, nationwide strategy to reduce the burden of depression.
Controllable Electron Distribution Reconstruction of Spinel NiCo2O4 Boosting Glycerol Oxidation at Elevated Current Density
Authors: Luo Wenshu , Tian Han , Li Qin , Meng Ge , Chang Ziwei , Chen Chang , Shen Ruxiang , Yu Xu , Zhu Libo , Kong Fantao , Cui Xiangzhi , Shi Jianlin 
Published: October 2023

AbstractElectrocatalytic glycerol oxidation reaction (GOR) is an effective way to convert biomass byproduct to high value‐added chemicals, which; however, suffers from the low oxidation activity and conversion ratio of the presently available catalysts. Herein, the NiCo2O4/NF bimetallic oxide nanoarray is controllably fabricated by Ni substituting for octahedral Co3+ in Co3O4, which exhibits excellent GOR catalytic activity at elevated current densities (E300 = 1.42 V, E600 = 1.62 V) and overall Faradaic efficiency of 97.5% at 1.42 V (FEformic acid = 89.9% and FEglycolic acid = 7.62%). The high performance is attributed to the structure evolution including the rapid generation of NiIII‐OOH and CoIII‐OOH active species, the optimized intermediates adsorption, and the accelerated electron transfer owing to the Ni introduction, which are evidenced by the operando spectroscopy measurements and density functional theory calculations, respectively. The GOR/hydrogen evolution coupled two‐electrode electrolytic cell voltage is ≈299 mV lower than that of the water splitting at 50 mA cm−2. More importantly, compared to conventional water splitting, this electrolyzer is stable for over 200 h at 1.75 V, reducing energy consumption by 16.9% and obtaining high value‐added products at the anode concurrently.
Tunable Spin‐Polarized States in Graphene on a Ferrimagnetic Oxide Insulator
Authors: Hu Junxiong , Han Yulei , Chi Xiao , Omar Ganesh Ji , Al Ezzi Mohammed Mohammed Esmail , Gou Jian , Yu Xiaojiang , Andrivo Rusydi , Watanabe Kenji , Taniguchi Takashi , Wee Andrew Thye Shen , Qiao Zhenhua , Ariando A. 
Published: October 2023

AbstractSpin‐polarized two‐dimensional (2D) materials with large and tunable spin‐splitting energy promise the field of 2D spintronics. While graphene has been a canonical 2D material, its spin properties and tunability are limited. Here, this work demonstrates the emergence of robust spin‐polarization in graphene with large and tunable spin‐splitting energy of up to 132 meV at zero applied magnetic fields. The spin polarization is induced through a magnetic exchange interaction between graphene and the underlying ferrimagnetic oxide insulating layer, Tm3Fe5O12, as confirmed by its X‐ray magnetic circular dichroism (XMCD). The spin‐splitting energies are directly measured and visualized by the shift in their Landau‐fan diagram mapped by analyzing the measured Shubnikov‐de‐Haas (SdH) oscillations as a function of applied electric fields, showing consistent fit with the first‐principles and machine learning calculations. Further, the observed spin‐splitting energies can be tuned over a broad range between 98 and 166 meV by field cooling. The methods and results are applicable to other 2D (magnetic) materials and heterostructures, and offer great potential for developing next‐generation spin logic and memory devices.