Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Tomato (Solanum Lycopersicum L.) Genotypes for Adaptation and Yield Components on the Njala Upland Soil Southern Sierra Leone

– Tomato is one of the most important vegetables consumed in fairly large quantity worldwide. Evaluation of introduced genotypes for adaptation and identification of superior genotypes types for further improvement in yield is necessary. Therefore, experiment was laid out in a randomized complete block design with three replications under field condition was conducted at the Department of Crop Science, School of Agriculture Njala University, Njala Campus, Moyamba District, Southern Sierra Leone to evaluate five tomato ( Solanum Lycopersicum L.) genotypes for adaptation and yield components. Data collected on growth parameters and yield components, included plant height, stem girth, days to flowering, days to maturity, number of fruits set per plant, number of fruits harvested per plant, fruit weights, fruit length, fruit diameter, fruit flesh thickness, locule number and brix/TSS. Results from the study showed that all genotypes studied are adaptable to the climatic conditions of Sierra Leone. P 1 (097) recorded the highest number of fruits set per plant, number of fruits harvested per plant, locule number, brix/TSS and plant height at 50% and 100% flowering while F 3 had the shortest days to maturity and heaviest fruit weight with P 2 213 recording the longest duration to maturity, longest fruit length and diameter and thickest fruit flesh thickness correspondingly. With regards to yield and yield related components, F 3 was found to be better than the rest of the genotypes for most of the characters. However it measured the shortest plant height at 50% and 100% flowering. Surprisingly, locule which fruit failed to fruit
Does environmental issue matter? Effect of air pollution on the stock market performance

Abstract Air pollution is one of the most serious environmental issues. In Malaysia, the emission of air pollutants has increased in recent years. This study aimed to examine the impact of air pollution on sectoral indices in Malaysian stock market. The dependent variables used in this study were the daily return of 13 sectoral indices, while the independent variables were as follows: (i) the lagged daily return of sectoral indices; (ii) the lagged standard deviation of sectoral indices; and (iii) the Air Quality Index (AQI). The sample period of this study covered from 5 July 2019 to 8 April 2022. The findings showed that the lagged daily return only significantly affected the daily return of few sectors. Meanwhile, the lagged standard deviation significantly affected the daily return of all the sectoral indices, but not under all the market conditions. The lagged AQI and AQI also significantly affected the daily return of eight sectors, which included finance, property, construction, healthcare, technology, energy, utilities, and consumer sectors. Hence, investors need to observe the changes in the air pollution level and market conditions when making investment decision. These findings could help investors in identifying the environmental factors that need to be considered before investing in the stocks of particular sectors.
An analysis of external and internal auditors’ use of ISA 240 red flags: The impact of auditors’ estimation of fraud pervasiveness

Abstract The purpose of this study is to investigate how external and internal auditors, respectively, assess the importance of and indicate the use of fraud risk factors (red flags) in their efforts to detect fraudulent financial statements and misappropriation of assets. Further, this study attempts to explain the effect of auditors’ estimation of fraud prevalence in the business environment on their assessment of fraud risk and their subsequent use of fraud risk factors. Empirical data were collected by means of a questionnaire that was sent to external auditors working for global and local audit firms in Saudi Arabia and to internal auditors working for various types of private companies. The results of the study revealed that the use of fraud risk factors by external and internal auditors is positively associated with their estimation of fraud pervasiveness in the business community. The results showed no significant differences between external and internal auditors in their use of fraud risk factors, in general. However, the results provide evidence of an association between the perceived importance of a specific risk factor and its extent of use. The implications of the results should motivate external auditors to utilize the experience and information available to internal auditors in assessing the risk of fraud.
The impact of demographic factors of clients’ attitudes and their intentions to use FinTech services on the banking sector in the least developed countries

Abstract This research aims to explore the impact of demographics (age, gender, education, and income) on clients’ attitudes and their intention to use the FinTech services of banks by using the TAM model, Yemen as a case study. The data for this study were collected using a questionnaire shared among 435 respondents who are clients of five Yemeni banks that provide FinTech payment services. Structural equation modeling via PLS was used to validate the model’s constructs. The results show that education and income levels have a significant negative effect on risks and a high positive effect on the perceived benefit of using FinTech to clients. Gender, income, and risks show a significant negative effect on attitude. Education, PEOU, PU, and trust all exhibit a high positive effect on the attitude of banks’ clients to using FinTech services. Finally, there is a very high positive relationship of attitude with intention. As an independent study, this research contributes to clarifying the effect of demographic factors on the use of FinTech by consumers, considering that studies in this field are minimal. In addition, it contributes to highlighting important steps for decision makers to keep pace with financial technology developments in the least developed countries in general and in Yemen in particular.
Embeddings of the line in the plane.

In their paper of this title [1], Abhyankar and Moh have shown that (up to algebraic automorphism) the only embedding of the line in the plane, in characteristic 0, is the Standard one. For the complex numbers, this is a strong sort of unknotting theorem. In this paper, using only some reasonably elementary theory of knots, I give a new proof of the theorem of Abhyankar and Moh; this proof is intrinsically topological, and does not appear merely to be a translation of their original proof using "high-school algebra".
Assessing the heat stress tolerance potential of tomato lines under poly-house and open field conditions

Abstract Tomato, an important vegetable crop cultivated worldwide is an essential component of the Ghanaian diet. However, production in Ghana is hampered by heat stress (HS) during certain periods of the year. Tomato is sensitive to HS, especially during the reproductive stage, inducing pollen sterility, floral and fruit abortion, and culminating in low yield. This necessitates development of HS-tolerant tomato varieties. The HS-tolerance potential of 13 tomato lines was assessed under both poly-house and open field conditions at day temperatures of ~35°C. Evaluation was based on agro-morphological and physiological traits. Most lines had their highest fruit yield (FY) under poly-house conditions, but declined drastically (up to 92%) in the field when day/night temperatures reached 40/28°C respectively. A second field experiment revealed that the low FY was due to poor fruit set despite the many flowers produced. Correlations between days to 50% fruiting and physiological traits (Φ II, chlorophyll content, and leaf temperature) were high and significant, whereas those between FY and all physiological parameters were negligible. Lines KAC13 and KAU03 consistently had high FY, Φ II, and chlorophyll content. Nevertheless, KAU01 had the highest FY in two out of three experiments in addition to having the highest percentage fruit set. The lines that show high potential tolerance to HS may be incorporated into breeding programmes to further improve the tolerance of tomatoes to HS.
Evolution of Droplet Size Distributions During the Transition of an Ultraclean Stratocumulus Cloud System to Open Cell Structure: An LES Investigation Using Lagrangian Microphysics

A state‐of‐the‐art Lagrangian microphysics scheme is used in a large‐eddy simulation to investigate the stratocumulus transition from closed to open cell structure. Processes controlling precipitation development, which is a key to the transition, are analyzed by leveraging unique benefits of Lagrangian microphysics, particularly the ability to track computational drops in the flow. Sufficient time is needed for coalescence growth of cloud drops to drizzle within the updraft‐downdraft cycle of large eddies. This favors broad drop size distributions (DSDs) and drizzle growth in downdrafts, where drops are typically much older than in updrafts. During the closed cell stage, mean cloud drop radius is too small, and the DSDs are too narrow, so that the timescale for coalescence is much longer than the large eddy turnover time and drizzle growth is limited. The closed‐to‐open cell transition occurs when these timescales become comparable and the precipitation flux increases sharply.
Efektivitas Metode Pembelajaran Case Method dalam Upaya Peningkatan Partisipasi dan Hasil Belajar Mahasiswa pada Mata Kuliah Manajemen Perubahan

Penelitian ini bertujuan untuk mengetahui sejauhmana tingkat partisipasi dan hasil belajar mahasiswa dari kemampuan menyelesaikan kasus-kasus berkaitan dengan manajemen perubahan organisasi, dimulai dari identifikasi fakta, teori manajemen perubahan, alasan perubahan, penyebab perubahan dan cara melakukan perubahan. Sampel pada penelitian ini adalah seluruh mahasiswa yang terdaftar di kelas Manajemen Perubahan berjumlah ± 32 orang mahasiswa. Hasil penelitian menunjukkan, selama aktivitas perkuliahan berlangsung secara virtual menggunakan zoom meeting, masih ditemukan mahasiswa yang kurang memahami materi perkuliahan serta kasus yang telah didiskusikan, ini disebabkan ketika pembelajaran berlangsung mahasiswa tersebut tidak mau bertanya dan tidak memiliki rasa ingin tahu terhadap materi dan penjelasan kasus yang disampaikan baik oleh sesama rekan mahasiswa ataupun dosen, hal ini lah yang menunjukkan efektivitas metode pembelajaran case method serta tingkat partispasi dan hasil belajar mahasiswa belum menunjukkan pengaruh signifikan terhadap peningkatan kemampuan berpikir kritis. Hal lain menunjukkan bahwa dari jumlah mahasiswa yang mengikuti kelas perkuliahan manajemen perubahan, 36% dari jumlah mahasiswa yang telah mengikuti perkuliahan melalui implementasi case method menunjukkan pengaruh positif terhadap metode pembelajaran case method dan membantu mengembangkan kemampuan berpikir untuk menyelesaikan masalah, keterampilan intelektual serta menjadi pebelajar mandiri
Impact of covid-19 on labor force participation in Brazil

Abstract This study aims to analyze the impact of Covid-19 on the female’s labor force participation (LFP) probability in Brazil in 2020. We found through the probit model that females are about 7 percentage points less likely to participate in the labor force than males. Covid-19 and layoffs decrease by about 7 and 30 percentage points the women’s LFP probability, respectively. An additional year of schooling increases female’s LFP probability by 14 percentage points. These results are statistically significant at 1%. However, Covid-19-gender interaction term coefficient is not significant. We suggest a rich agenda for women’s jobs opportunities in developing countries.
Correlation of quantitative EEG and cognitive impairment in cardiac arrest survivors: first steps towards a prediction model

Background : Half of the cardiac arrest survivors experience long-term cognitive impairment. Cognitive rehabilitation might have beneficial effects on cardiac arrest survivors. Therefore, early identification of patients at risk for developing long-term cognitive impairment is important. To date, early predictors for long-term cognitive functioning are not available yet. Here we study the potential role of early EEG. Objectives : Primary objective is to study the association between quantitative EEG (qEEG) measures and cognitive functioning in cardiac arrest survivors. Secondary objective is to examine the predictive value of early qEEG measures in addition to demographic and clinical parameters for predicting cognitive impairment during hospital admission. Methods : We performed a prospective longitudinal cohort study on cardiac arrest survivors in six Dutch hospitals. Resting-state nineteen-channel EEG was recorded during hospital admission. We selected eyes closed segments to calculate alpha-to-theta ratio, peak frequency, center of gravity, and global and local imaginary coherency. The primary outcome measure was Montreal Cognitive Assessment (MoCA) obtained during hospital admission. We assessed the correlations between the MoCA and qEEG measures with Pearson’s correlation coefficient. We performed multinomial logistic regression analyses to examine the added predictive value of qEEG measures for prediction of cognitive impairment (MoCA<26). Five-fold validation was used for model validation. Results : We included 77 cardiac arrest survivors, of whom 53 had cognitive impairment. We found a positive significant correlation between the alpha-to-theta ratio and the MoCA (r=0.60 p<0.01), as well as between the peak frequency and the MoCA (r=0.56 p<0.01). There was a negative significant correlation between the center of gravity and the MoCA (r=-0.48 p=<0.01). No significant correlation between the mean imaginary part of coherency and MoCA was found in the theta band (r=-0.09 p=0.43) and alpha band (r=0.09 p=0.41). The imaginary part of coherency differed significantly in some electrode pairs in the theta and alpha band between patients with and patients without cognitive impairment. The multinomial logistic regression analyses resulted in five models with different explanatory variables. The model with center of gravity as explanatory
Alternative starting point for teaching fractions

We investigate the viability of a new approach to initial fraction instruction. We establish the need to empirically investigate whether the proposed approach shares the strengths of currently used approaches, specifically, whether students will (a) construe problems based on the proposed approach as experientially real, and (b) bring up ideas that could be build upon in subsequent fraction instruction. We then present an analysis of sixteen student interviews from a school in southern Mexico (ages 8 and 9). The analysis supports the conjecture that the proposed approach to initial fraction instruction can be viable, and thus warrants further research attention.
Intimate Partner Violence among Pregnant Women and Associated Factors in Negelle Borena Town Guji Zone, South Oromia

Background : Intimate partner violence is an important public health and human rights issue. Intimate partner violence during pregnancy has been found to be associated with fatal and non-fatal adverse health outcomes for the pregnant woman and her baby. The aim of this study is to determine the magnitude of intimate partner violence among pregnant mothers and associated factors. Objective : To assess Intimate partner violence among pregnant women and associated factors in Negelle Borena town in the selected public health facility 2020. Methods : Facility based cross-sectional study was carried out from Oct15 –Dec15/2020. Face to face interviews were conducted using a pre-tested structured questionnaire. The collected data was entered into Epi info version 7.2. 1.0 and then exported into Statical package for social science version 20 for analysis. Descriptive statistics were conducted. Bivariate analysis was done to select candidate variable for multivariate analysis. Finally, variables which had significant associations with intimate violence during pregnancy were identified on the basis of p-value<0.05 and AOR with 95% CI. Result : About 44.3% (95% CI 44.2-44.4) of pregnant women had faced at least one form of intimate partner violence during the current pregnancy. Psychological Sexual physical were forms of the respondents was encountered.
Access to Capital Markets and the Geography of Productivity Leaders and Laggards

This paper examines whether access to the capital market of convertible and non-convertible bonds affects total factor productivity (TFP) for the population of Italian joint stock manufacturing companies, based in highly segmented local financial markets, between 2007 and 2017. The hypothesis, well grounded in the literature, is that long term capital favours investment in intangibles and other risky assets necessary for productivity growth. In order to identify this effect, we exploit the exogenous shock of the Italian banking deregulation of the mid-Nineties as an instrument for firm level access to capital, interacted with distance from logistic networks. These reforms changed the distribution of the type of branches at the local level, increasing the share of joint stock banks, which have high connections to international capital markets. This geographical reallocation of banking activities ultimately affected firms’ financial structure, favouring their access to capital, even when based in peripheral financial areas. Firms which issued instruments of market debt achieved higher levels of productivity and a higher probability to reach top percentiles of productivity distribution. JEL: R1, O4, G21
RECOGNITION OF ARM POSITIONS OF DEMENTIA PATIENTS VIA SMARTWATCHES USING SUPERVISED LEARNING

Currently, about 46.8 million people worldwide have dementia. More than 7.7 million new cases occur every year. Causes and triggers of the disease are currently unknown, and a cure is not available. This makes dementia, along with cancer, one of the most dangerous diseases in the world. In the field of dementia care, this work attempts to use machine learning to classify the activities of individuals with dementia in order to track and analyze disease progression and detect disease-related changes as early as possible. In collaboration with two care communities, exercise data is measured using the Apple Watch Series 6. Consultation with several care teams that work with dementia patients on a daily basis revealed that many dementia patients wear watches. In this project data from the aforementioned sensors is sent to the database at 20 data packets per second via a socket. DecisionTreeClassifier, KNeighborsClassifier, Logistic Regression, Fast Forest, Support Vector Machine, and Multilayer Perceptron classification algorithms are used to gain knowledge about locating, providing, and documenting motor skills during the course of dementia. As a first step, arm position sequences are to be identified, from which different fine-granular activities are to be classified later.
A Generalized Thermomechanic Approach

A generalized thermomechanic approach is obtained starting with an analysis of internal variables and thermodynamic potentials dealing with classical thermodynamics. This concept is extended for small deformations in continuum mechanics, where after applying conservation of mass, balance of linear momemtum, balance of moment of momentum, the first and second law of thermodynamics the Clausius-Duhem inequality is obtained. After applying the normality rule and making use of Lagrange multipliers and yield functions it was concluded for n-state equations (for n-state variables) m-yield functions (m≤n) are used to define the internal state v ariables evolution.
Comparison of morphological identification and DNA metabarcoding for dietary analysis of faeces from a subtropical lizard

Abstract Context. The common methods for detecting prey in faeces are traditional morphological examination of digested prey remains and faecal DNA (fDNA) metabarcoding. Although recent studies have shown that fDNA metabarcoding can identify prey that is excreted without morphologically identifiable remains, it is unclear whether fDNA metabarcoding provides a more comprehensive assessment of diet than morphological analyses. Aims. We aimed to compare prey detection abilities of morphological and fDNA-metabarcoding assays by evaluating similarities and differences of estimated prey communities. We also aimed to provide the first comprehensive prey composition of an endangered ground-dwelling gecko, Goniurosaurus kuroiwae, which will contribute to the conservation management of this species. Methods. We identified the prey consumed by G. kuroiwae by morphological examination and fDNA metabarcoding using the same series of faecal samples. For these two methods, we compared the overall community composition of prey items and the detection rate for each prey type. We also tested for environmental and ontogenetic variation of the composition of prey items consumed. Key results. When comparing the two methods there were significant differences in the composition of prey communities that were identified from the same series of faecal samples. The fDNA metabarcoding analyses showed the higher rate of detection of earthworms, amphipods and coleopteran and lepidopteran larvae, which lack hard exoskeleton or have small body sizes. The morphological assay allowed identification of a few prey types, including spiders and earwigs, more frequently than fDNA metabarcoding. Combined use of both methods revealed that G. kuroiwae consumed large-sized invertebrates with a slight ontogenetic shift from small-sized invertebrates to large-sized ones. Conclusions. Although fDNA metabarcoding showed the higher overall prey detection rate, it did not include all the prey items detected by morphological analysis. The complementary use of both methods can yield better understanding of the prey composition of invertebrate-consuming animals represented by reptiles and amphibians. Implications. We have shown that the most comprehensive reconstruction of prey composition from faeces will be achieved by combining results from both fDNA metabarcoding and morphological analyses.
Ordering Block Designs: Gray Codes, Universal Cycles and Configuration Orderings

The study of combinatorial block designs is a vibrant area of combinatorial mathematics with connections to finite geometries, graph theory, coding theory and statistics.The practice of ordering combinatorial objects can trace its roots to bell ringing which originated in 17th century England, but only emerged as a significant modern research area with the work of F. Gray and N. de Bruijn. These two fascinating areas of mathematics are brought together for the first time in this book. It presents new terminology and concepts which unify existing and recent results from a wide variety of sources. In order to provide a complete introduction and survey, the book begins with background material on combinatorial block designs and combinatorial orderings, including Gray codes -- the most common and well-studied combinatorial ordering concept -- and universal cycles.The central chapter discusses how ordering concepts can be applied to block designs, with definitions from existing (configuration orderings) and new (Gray codes and universal cycles for designs) research. Two chapters are devoted to a survey of results in the field, including illustrative proofs and examples. The book concludes with a discussion of connections to a broad range of applications in computer science, engineering and statistics. This book will appeal to both graduate students and researchers.Each chapter contains worked examples and proofs, complete reference lists, exercises and a list of conjectures and open problems.Practitioners will also find the book appealing for its accessible, self-contained introduction to the mathematics behind the applications.