Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of body mass index (BMI) and physical activities among menopausal women

Background: The impact of body mass index (BMI) and physical activity on menopausal symptoms is still unclear. The relationship between menopausal symptoms with physical activity and BMI may differ depending on the specific symptom and socio-demographic factors may have impact on the symptoms. Objectives: It was aimed to determine most common presenting symptoms as per MRS scale, and to assess physical activity status as per IPAQ scale. Also to assess the impact of physical activity and BMI on common menopausal symptoms in addition to socio-demographic characteristics of the respondents in particular. Methods: This was a descriptive cross-sectional study among menopausal women age between 45-60 years attended at Outpatient Department (OPD) of Obs & Gynae in three randomly selected tertiary care hospital of the country during November 2017 to April 2018. The data were generated as per Menopause Rating Scale (MRS) and by International Physical Activity Questionnaire (IPAQ) and by calculation of Body Mass Index (BMI). Results: About 70.0% respondents were within 45-54 years of age group, 28.0% respondents were illiterate and 78.0% were housewife. Overweight was to be found almost 30.0% within 50-54 years age group. Respondent’s somato-vegetative menopausal symptoms like hot flashes, heart discomfort and sleeping problems were found mild to moderate among 53.0-67.0% respondents mostly. Psychological and urogenital menopausal symptoms were found mild to moderate among 52-62.0% and 45-53.0% respondents respectively. The irritability and heart discomfort were found significantly associated with age. Moreover, joint and muscular discomfort, hot flushes, sweating and heart discomfort were also found significantly associated with BMI (p<.05). Conclusion: Findings of the study will help planners and policy makers in developing one stop comprehensive services as appropriate in minimizing symptoms without medications and will also help minimizing burden of symptoms among menopausal women towards a comfortable end stage life line towards menopause specific quality of life (MENQOL).
Transient diffusion in a system partitioned by permeable barriers. Application to NMR measurements with a pulsed field gradient

A general treatment of time‐dependent (transient) diffusion coefficients in a system of parallel planar barriers of arbitrary permeability has been performed, with emphasis on the results expected for NMR pulsed‐field‐gradient, spin‐echo measurements. This is the first such derivation for permeable barriers of any geometry. The calculated distribution functions and diffusion coefficients are in agreement with expectations in most of the limiting cases tried, except that an unexplained dependence of the diffusion coefficients on the magnitude of the field gradient, even at long diffusion times, was found. The application of the results to the interpretation of experimental results is discussed.
Genetically Engineered Biomaterials

The involvement of genetic engineering techniques in the development of novel biomaterials has a huge impact on a vast range of applications. The capability of new genetically engineered material has achieved various innovative scopes in the biomedical industry. Such materials are usually designed via chemical and physical methods of genetic engineering. According to the genetic basis of sequence, molecular weight, folded structure, and stereochemistry, protein polymers thus suggest a generous view for the architecture of protein-based genetically engineered biomaterials. The scopes of developing genetically engineered biomaterials are leading to improve biological features of materials which can enhance the applicability and properties of materials. In the last five years, Genetic engineering research is becoming closer to the mass consumer. Leading global geneticists predict that in the coming years, a boom will occur in the genetic engineering market, comparable to the massive spread of personal computers in the 1980s. Thus genetically modified biomaterials with upgraded biological properties, expanding towards mass-scale industrial production, and the considerable consumption in regular universal activities. The techniques used to develop new materials and to modify the properties of existing materials, are subjected to different industries and fields of scientific researches. CRISPR is an authoritative research tool that facilitates scientists to deal with the expression of a gene. It has shown tremendous potential in genome research due to its ability to delete unwanted traits, and possibly even replace them with desirable traits. It is agile, worthwhile, and more authentic than any preceding gene-editing techniques. Genetically engineered biomaterials have been an enormous field of research over the last fifteen years and CRISPR has already initiated performing a significant aspect in boosting biomaterial research.
Benchmarking of Microreactor Applications

At present, the aims of the investigations with microchemical processing devices are changing from simply proving feasibility for one chemical reaction towards more in-depth scientific studies and industrial piloting. In this way, large data sets are gathered, providing multifaceted information on the topic. To enable industrial exploitation of the technology, future investigations should aim to complete the economic evaluation of the methodology for plant engineering. Hence, commercially oriented studies have to be undertaken, not with the aim to further broaden the scope of information, but rather to achieve a new system-oriented level of know-how. Since this involves the interaction of many parties with many different skills, it is a bridging function that is needed to bring the vast amount of findings documented to a compact format and to compare it to the state of the art in the chemicals-producing industry. Accordingly, this contribution reviews many chemical reactions carried out in either credit-c.
Organizational Herding in Advertising Spending Disclosures: Evidence and Mechanisms

As firms use advertising to gain product market advantages and increase their valuation in financial markets, disclosing their advertising spending is influential—whether it erodes organizational competitive advantages in product markets or signals quality in financial markets. The authors argue that firms learn from peers’ decisions to reduce the uncertainty in their own advertising disclosure, and they empirically investigate information-based organizational herding in the context of advertising spending disclosure, where a 1994 reporting rule made advertising spending disclosures voluntary in the United States. The authors examine whether a firm relies on information from benchmark leaders or similar peers to resolve disclosure uncertainty. A novel identification strategy, which uses partially overlapping strategic groups to mitigate simultaneity and correlated unobservables, shows robust evidence for herding effects among peer firms in the same strategic group. Moreover, firms are more likely to resolve disclosure uncertainty from similar peers rather than from benchmark leaders. The authors discuss how firms can use knowledge of competitors’ predicted advertising disclosure decisions conditional on their disclosure to their strategic advantage in product and financial markets.
DETECTION OF PHYTOCHEMICAL COMPOUNDS OF DUTCH IRIS (IRIS HOLLANDICA) BY USING GAS CHROMATOGRAPHY AND MASS SPECTROMETRY (GC-MS) TECHNIQUE

A current investigation was conducted to screen the phytochemical compounds of the Dutch Iris (Iris hollandica) by using gas chromatography-mass spectrometry (GC-MS) Technique. The detection of phytochemical mixtures was relied on the four important factors, as following: the retention time, the molecular weight, the peak area, and the molecular structure. The aim of the study was analysis and detected of phytochemical compounds that present in Iris hollandica by means of a Technique of gas chromatography and mass spectrometry. Examination of Iris hollandica disclosed the presence of twenty of phytochemical compounds as following: (D-Glucose, 6-O--D-galactopyranosyl-, Dodecanoic acid, 3-hydroxy-, Tertbutyloxyformamide, N-methyl-N-[4-(1-pyrrolidinyl,)], -D-Glucopyranose, 4-O--D-galactopyranosyl(1-pyrrolidinyl), 2, 4-Dimethylhexanedioic acid, 1-Nitro-2-acetamido-1, 2-dideoxy-d-mannitol, D-Alanine, N-propargyloxycarbonyl tridecyl ester, D-Alanine, -D-Glucopyranoside, O--glucopyranosyl-(1.fw), Methyl 6-oxoheptanoate, 3-Trifluoroacetoxydodecane, l-Gala-l-ido-octonic lactone, N-methyl-N-4-[1-(pyrrolidinyl)-2-butynyl], -D-Glucopyranoside, O--D-Glucopyranosyl-(1.fw), 9-Hexadecenoic acid, 9, 12, 15-Octadecatrienoic acid, 2, 3-bis (acetyloxy), 1-Hexadecanol, 2-methyl-, 2H-Indeno[1,2-b]furan2-one, 3,3a,4,5,6,7,8,8b-o, d-Allo-dec-2-enonic acid, 5, 8-anhydro-2, 3, 4, 9-tetra, E-8-Methyl-7-dodecen-1-ol acetate, and 1Hexadecanol, 2-methyl-). Finally, Iris hollandica has wide range of phytochemical compounds might be using in different field of scientific such as antibacterial, antifungal, antioxidant, anticancer, and anti-inflammatory.
Data‐Driven Inventory Control with Shifting Demand

We consider an inventory control problem with lost‐sales in a shifting demand environment. Over a planning horizon of T periods, demand distributions can change up to O( log T) times, but the firm does not know the demand distributions before or after each change, the time periods when changes occur, or the number of changes. Therefore, the firm needs to detect changes and learn the demand distributions only from historical sales data. We show that with censored demand, active exploration in the inventory space is needed for a reasonable detecting and learning algorithm. We provide a theoretical lower bound by partitioning all admissible policies into either exploration‐heavy or exploitation‐heavy, and for both categories we prove that the convergence rate cannot be better than Ω ( T ) . We then develop a nonparametric learning algorithm for this problem and prove that it achieves a convergence rate that (almost) matches the theoretical lower bound.
Coordinate to Obfuscate? The Role of Prior Announcements of Recommended Prices

Abstract Firms may want to coordinate industry-wide price jumps that are predictable for rivals, however, unpredictable for consumers. We show how such coordination is carried out in Norwegian gasoline retailing. Overnight, the market leader initiated an equilibrium transition from regular to non-regular price jumps Prior announcements of a non-transaction price variable, recommended prices, are used to coordinate the timing and the level of industry-wide price jumps.
Cash‐for‐Care Use and Union Dissolution in Finland

Abstract Objective This study examines how the receipt of the cash‐for‐care (CFC) benefit affects short‐ and long‐term risks of union dissolution. Background Several theories predict that couples' gendered division of labor decreases their risk of separation, either due to increased partnership satisfaction or because it establishes economic dependency. Family policies such as the Finnish CFC benefit, which is paid if a young child does not attend public daycare, may encourage such a gendered division of labor, at least temporarily. Method Using Finnish register data, this study analyzes the first childbearing unions of 38,093 couples between 1987 and 2009. Discrete‐time event history analyses and fixed effects models for nonrepeated events are applied. Results The results suggest a lower separation risk while the benefit is received as compared to couples who do not use it, but no effect in the long‐term. Fixed effects models that control for selection into CFC indicate postponement of separation until after take‐up. Higher‐income mothers show a stronger postponement effect, possibly due to greater income following leave. Conclusion CFC use, which signals a temporary gendered division of labor and losses in mothers' earnings, predicts a lower separation risk during receipt of the benefit, but not beyond. Implications Policies that affect the division of paid and unpaid labor at best only temporarily reduce dissolution risks.
Growth and yield losses of direct seeded rice (Oryza sativa L.) as affected by major dominant weeds in Chhattisgarh plains: A review paper

Although weeds causes serious yield losses in agriculture, many studies have been conducted on the relationship between weeds and yield loss in direct seeded rice. Major weeds found in Chhattisgarh plains are Echinochloa colona, Echinochloa crus-galli, Ischaemum rugosum, Oryza sativa (weedy rice), Leptochloa chinensis, Paspalum distichum among the grasses. Cyperus iria, Cyperus difformis, Cyperus rotundus, Fimbristylis miliacea among the sedges and Monochoria veginalis, Eclipta prostrate, Commelina benghalensis, Cynotis axillaris, Ceasulia axillaris, Alternanthera triandra among the broad leaved weeds. Weeds are most serious biological constraints in direct seeded rice, because weed emergence coincide with the seedlings due to which the productivity is often lower. Weeds being hardy and having profuse root and shoot growth habit, grow faster than rice and thereby check the growth of rice by severe competition in critical crop weed competition period Direct yield loss has been estimated to the range from 16-86% depending on type of rice culture, cultivars, weed species and density, cropping season, plant spacing, fertilizer rate, duration and time of weed infestation and climatic and environmental conditions.
Processing and properties of extruded flaxseed-corn puff

The effects of flaxseed meal (0, 5, 10 and 15%) in flaxseed meal/corn meal blend and processing variables, including moisture content (16, 18 and 20%), and screw speed (200, 300 and 400 rpm), on extrudate chemical property (lignan residue) and physical properties (specific volume, hardness and color) were studied. The lignan compounds in the flaxseed and corn meals were 2.27 and 0 mg/g, respectively, before extrusion. A higher flaxseed meal level and a higher screw speed favored the retention of lignan compounds, but higher feed moisture showed the opposite effect. About 25–52% lignan compounds were lost after extrusion. Increasing flaxseed meal level, increasing feed moisture or decreasing screw speed significantly reduced the expansion and resulted in harder extrudate that was darker, more reddish and less yellow.
Risk Analysis and Prediction of the Stock Market using Machine Learning and NLP

The stock market has been a source of income for many for the past 200 years and will continue to do so in the years to come. Predicting the rise and fall of the stock market has been the intention of many financial analysts and they have been trying to tackle that issue but with limited success. With the meteoric improvement in technology leading to higher processing power, increased storage and better algorithms it is now more possible than ever to do so. But to shatter the taboo that stock market is meant only for people well versed in finance, it is required that a new solution is developed to tell the interested user what is the risk associated and expected increase or decrease in value with respect to his or her investment. The proposed solution is an end product which is easy to use and understand. It uses the stock market dataset for training the model, sentiment analysis on tweets and risk calculation to overcome the existing barrier and making the riches of stock market investment available for all.
ENDOSCOPIC PICTURE OF FALLOPIAN TUBES STATE IN KAZAKHSTAN WOMEN WITH NATURAL STERILITY COMBINED WITH REPRODUCTIVE DISEASES

Determination of level of fallopian tube affect and assessment of fallopian tube state in women with natural sterility combined with reproductive diseases. The analysis of endoscopic surgery results was presented by sampling in 200 patients, of which 98 patients with natural sterility, 102 with secondary sterility. The patients with natural sterility were distributed by three groups: 1 group was made up with patients with natural sterility combined with endometriosis (n=33), 2 made up with patients with natural sterility combined with uterine fibroid (n=26), 3 are patients with natural sterility combined with chronic salpingitis. All patients have passed the standard examination. According to data of sonographic hydrotubation in 1 group the double-sided uterine tubes patency was observed in 28%(84,85+6,24), in 2 group in 20% (76,92+8,26), in 3 group 29 %(74,36+6,99) of cases. Under laparoscopic examination of fallopian tube the changes were observed in 1 group in 10% (30,30+8,00) of cases. In 2 group the changes are observed in 20 % (76,92+8,26) of cases. In 3 group the changes are observed in 32% (82,05+6,15) of cases. Hereby in view of the presence of patients with natural sterility the frequency of fallopian tube abnormality in three groups was equal from 30% to 82,05%, despite its double-sided patency 74,36% to 84,85%. Therefore the endoscopic interventions shall be performed not with the purpose of diagnosis verification but with medical purpose.
Study on the Broadcast of Women's Sports in India

Background:Broadcast of women’s sports plays a huge role in changing norms and stereotypes related to gender discrimination. The female athletes face circumstances wherein they have to tackle serious imbalances in sports broadcasts in the country.Methods: The study examines the change of women’s sports broadcast through the use of questionnaires and interpreting them using the Chi-square test. The survey collected over 70 responses. It attempts to understand the increase or decrease of women’s sports broadcasting and what are the scenarios that took place in various countries concerning women’s sports broadcasts. The results showed the various responses to questions like how often do people watch women’s sports to which 44% responded rarely.Conclusion: Interestingly, more than 89% of the people think that they believe women’s sports are not getting sufficient coverage in India. Based on the responses collected, the general public believes that there has been an increase in the broadcast of women’s sports in the last 10 years.
DETERMINATION OF ZIDOVUDINE AND LEVOFLOXACIN IN HUMAN PLASMA BY REVERSED PHASE HPLC AND SOLID PHASE EXTRACTION

ABSTRACT A new high performance liquid chromatography (HPLC) assay was developed for the simultaneous determination of zidovudine (AZT) and levofloxacin in human plasma. Plasma samples were treated with a solid-phase extraction procedure. The compounds were separated using a mobile phase of 86 : 14 v/v 25 mM sodium phosphate monobasic monohydrate and 0.1% trifluoroacetic acid (pH 2.4) – acetonitrile on an octadecylsilane column (150 × 4.6 mm i.d.) with UV detection at 266 nm. Ciprofloxacin was used as the internal standard (IS). The method was validated over the range of 26.3–2600 ng/mL for AZT, and 51.2–5069 ng/mL for levofloxacin. The method proved to be accurate (percent bias for all calibration samples varied from −6.2 to 5.6%) and precise (within-run precision ranged from 0.9 to 9.7% and between-run precision ranged from 1.3 to 7.5%). The mean absolute recoveries were 94.1% for AZT, 91.2% for levofloxacin, and 84.7% for the internal standard. The assay should be suitable for use in pharmacokinetic studies and routine plasma monitoring of these drugs in HIV infected patients.
Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study

Abstract Introduction Placenta accreta spectrum is a major obstetric disorder that is associated with significant morbidity and mortality. The objective of this study is to establish a prediction model of clinical outcomes in these women Materials and methods PAS-ID is an international multicenter study that comprises 11 centers from 9 countries. Women who were diagnosed with PAS and were managed in the recruiting centers between 1 January 2010 and 31 December 2019 were included. Data were reanalyzed using machine learning (ML) models, and 2 models were created to predict outcomes using antepartum and perioperative features. ML model was conducted using python® programing language. The primary outcome was massive PAS-associated perioperative blood loss (intraoperative blood loss ≥2500 ml, triggering massive transfusion protocol, or complicated by disseminated intravascular coagulopathy). Other outcomes include prolonged hospitalization >7 days and admission to the intensive care unit (ICU). Results 727 women with PAS were included. The area under curve (AUC) for ML antepartum prediction model was 0.84, 0.81, and 0.82 for massive blood loss, prolonged hospitalization, and admission to ICU, respectively. Significant contributors to this model were parity, placental site, method of diagnosis, and antepartum hemoglobin. Combining baseline and perioperative variables, the ML model performed at 0.86, 0.90, and 0.86 for study outcomes, respectively. Ethnicity, pelvic invasion, and uterine incision were the most predictive factors in this model. Discussion ML models can be used to calculate the individualized risk of morbidity in women with PAS. Model-based risk assessment facilitates a priori delineation of management.
Beyond Catastrophic Forgetting in Continual Learning: An Attempt with SVM

A big challenge in continual learning is avoiding catastrophically forgetting previously learned tasks. The possibility of improving existing knowledge whilst integrating new information has been much less explored. In this paper we describe a method that aims to improve the performance of previously learned tasks by reﬁn-ing their knowledge while new tasks are observed. Our method is an example of this ability in the context of Support Vector Machines for binary classiﬁcation tasks, which encourages retention of existing knowledge whilst reﬁning. Experiments with synthetic and real-world datasets show that the performance of these tasks can be continually improved by transferring selected knowledge, leading to the improvement on the performance of the learning system as a whole.
DIÁLOGOS ENTRE AS EXPERIÊNCIAS DE FORMAÇÃO DE LICENCIANDOS E PROFESSORAS DE GEOGRAFIA NO PIBID

O estudo objetivou problematizar os dialogos entre experiencias de formacao inicial de Licenciandos em Geografia do Instituto Federal do Espirito Santo (IFES) – Campus Nova Venecia, e de formacao continuada de Professoras de Geografia da rede estadual de ensino do Espirito Santo e da rede municipal de ensino de Nova Venecia-ES, que atuaram como estagiarios e professoras supervisoras bolsistas, respectivamente, no Subprojeto Geografia do Programa Institucional de Bolsa de Iniciacao a Docencia (Pibid). A pesquisa, de carater qualitativo, beneficiou-se do Metodo das Entrevistas Narrativas e envolveu a aplicacao de questionarios fechados e a realizacao de entrevistas semiestruturadas com duas professoras e quatro licenciandos. Constatou-se a importância do Pibid para a formacao inicial dos licenciandos, sobretudo, no que tange a constituicao da identidade docente; e para a formacao continuada das professoras, em virtude das experiencias de parceria vivenciadas no âmbito do Pibid.