Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of the relation between the adaptive potential of oilseed radish varieties ( Raphanus sativus l. var. oleiformis Pers.) and chlorophyll fluorescence induction parameters

The possibility of optimization of the system of varietal identification, particularly of cruciferous crops in the breeding programs an urgent task that needs a scientific solution. A system comparison of a complex model for assessing genotypes for plasticity and stability with indicative basic and derivative indicators of the chlorophyll fluorescence induction curve (CFI) is proposed as a possible solution to this problem. 14 varieties of oilseed radish of different ecological and geographical origin were chosen as the object of research. Widely tested indicators of both methodological approaches were applied, taking into account the agrotechnological aspects of the analysis of oilseed radish plants for uniformity and stability. The varietal specificity of the basic indicators of the induction of chlorophyll fluorescence of oilseed radish in response to changes in the stress level of the years of the research period was established. The determined interval of correlation-regression dependencies at the level of -0.382–(-0.658) ( p < 0.05–0.01) between the indicators of genotypic stability (G p ), adaptability (b i ), and selection value (S v ) and the basic indicators of the CFI curve such as minimal fluorescence (F 0 ), fluorescence of the 'plateau' zone (F р l ), maximal fluorescence (F m ) and fluorescence stationary level (F st ). Direct correlations were determined at the level of 0.652–0.745 ( p < 0.01–0.001) in the same comparison system for maximal fluorescence (F m ), fluorescence rise (dF pl ), maximum variable fluorescence (F v ), photochemical efficiency (EP), leaf water potential (L wp ), plant viability index (RF d ), efficiency of the initial reactions of photosynthesis (K prp ), coefficient of decline of the fluorescence (K fd ). The indicated pair correlation dependences were confirmed by the results of multiple regression analysis for the value of multiple regression coefficients (R) in the interval of 0.793–0.833 ( p < 0.05–0.01). On the basis of the obtained data, an integrated version of the assessment of varieties of cruciferous crops is proposed, which allows optimization of the system of varietal identification, particularly of cruciferous crops, in the breeding programs of their pre-and post-registration study, as well as the system of searching for donors and sources of relevant traits in the breeding hybridization programs at various levels. In terms of further research, it will be promising to apply this variant of the analysis to wild species of cruciferous crops in a single complex with their cultural forms to assess the regularities of the formation of adaptations under the directed trait selection process.
RELATIONSHIP BETWEEN COMORBIDITIES AND THORACIC CT SCAN IMAGES IN COVID-19 CONFIRMED PATIENTS

This study aimed to determine the relationship between comorbidities and disease severity based on chest CT scan images in confirmed COVID-19 patients. The research was conducted in Radiological Department of dr. Wahidin Sudirohusodo Hospital, Makassar with a total of 192 confirmed COVID-19 patients. Analysis of the characteristics of the patient's chest CT scan was performed on the lung and mediastinal window to investigate the appearance of Groundglass opacity (GGO), consolidation, crazy paving, halo sign, air bronchogram sign (ABS), fibrosis, nodules, mediastinal lymphadenopathy, and pleural effusion. Differences in the proportion of CT scan images based on comorbidity were analyzed with chi-square test. There were significant correlation between patients with a history of comorbidities with appearance of GGO, consolidation, crazy paving, nodules, fibrosis, and effusion (all p<0.05). There was a significant correlation in patients with a history of hypertension with GGO, and crazy paving (both p<0.05), history of diabetes mellitus with a consolidation (p<0.05), history of chronic kidney disease with pleural effusion (p<0.05), history of malignancy with nodules (p<0.05), history of CAD with crazy paving (p<0.05), and history of tuberculosis with fibrosis, tree in bud and nodules (all p<0.05). This study concluded that patient with comorbidities may showed more variable lesion, which may be identified on chest CT scan.
Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations

We develop a model in which innovations in an economy’s growth potential are an important driving force of the business cycle. The framework shares the emphasis of the recent ”new shock” literature on revisions of beliefs about the future as a source of fluctuations, but differs by tieing these beliefs to fundamentals of the evolution of the technology frontier. An important feature of the model is that the process of moving to the frontier involves costly technology adoption. In this way, news of improved growth potential has a positive effect on current hours. As we show, the model also has reasonable implications for stock prices. We estimate our model for data post-1984 and show that the innovations shock accounts for nearly a third of the variation in output at business cycle frequencies. The estimated model also accounts reasonably well for the large gyration in stock prices over this period. Finally, the endogenous adoption mechanism plays a significant role in amplifying other shocks.
Empirical Analysis of the Relationship between Unemployment and Economic Growth in India: A Study Using Okun's Law

The study examines the correlation between real GDP and unemployment in India, utilising the Okun’s Law structure. Unemployment has been a critical challenge in various developing nations, demanding concerted efforts for mitigation. Okun's Law stands as a pivotal economic principle aimed at comprehending the intricate relationship between unemployment and its consequential impact on a country's Real GDP growth rate. Therefore, this research paper aims to primarily investigate the administration of Okun's Law within the context of India's economy spanning a three-decade period from 1992 to 2022. The central focus revolves around assessing whether Okun's Law remains empirically valid within the Indian economic landscape over this extended timeframe. Additionally, the study aims to look forth and understand the specific periods or instances where deviations from the expected relationship occurred and also seeks to elucidate the underlying factors contributing to these deviations. Utilising empirical data and rigorous statistical analysis, this study undertakes a comprehensive examination of India's economic performance vis-à-vis Okun's Law. The analysis extends to explore the divergence from this economic principle during certain temporal periods, aiming to uncover the nuances and factors behind these deviations
Sulfur Dioxide as a Stabilizing Agent of Local Beers from Kara City in Togo

: Beer is a drink consisting of an extremely complex mixture of over 3000 different compounds in an aqueous environment. In Togo, one of the most popular drinks is “Tchoukoutou”, a local beer made by fermenting sorghum. This sorghum beer, also popular in many African countries, is produced in a traditional way by women, often in unhygienic conditions. The production of this beer is not reproducible and also, lacks the necessary physicochemical, chemical and microbiological analyses to evaluate its quality. Moreover, because of its instability, it cannot currently be stored for more than 72 h. In this study, we used sulfur dioxide as a stabilizing agent for sorghum beer and studied its impact on certain physico-chemical and microbiological parameters. The parameters analyzed are pH by pH meter, density by areometry, volatile and total acidity by titrimetry, alcoholometry’s degree by densimetry, sugar content by enzymatic method, carbon dioxide rate by manometry and microbiological quality; the free and total SO 2 rate. The results show that sulfity (sulphity) samples are more acidic than those without SO 2 . Thus, the pH values of the samples of «Tchoukoutou» are between 1.52±0.01 and 3.31±0.00; the density of the drinks varies between 1.0042±0.0002 and 1.0489±0.0001 g/cm. The total acidity of the Tchoukoutou studied varies between 1.54 and 4.30 g/L of H 2 SO 4 ; the sugar content in the local beers analyzed varied between 26.1 and 93.2 mg/L. The fermentation process did not take place in the sulfity sample, confirmed by the alcohol content which is between 0 and 7.48% in the non sulfited; the CO 2 content varied between 359 and 653 mg/L. Microbiological analysis revealed that the sulfity samples were preserved from the microorganisms sought. We can retain from this study that the sulfity of Tchoukoutou beer can help prolong the quality of this local drink by inhibiting the growth of microorganisms causing deterioration of the organoleptic quality of Tchoukoutou.
Strategic Management Practices by Beach Management Units in Bondo Sub County, Kenya

Modern organizations are constantly interacting with competitive and turbulent market places presenting new threats and opportunities. This calls upon the organizations to engage in strategic management practices in order to survive and achieve their corporate goals. The objective of this study was to determine the strategic management practices adopted by Beach Management Units in Bondo Sub County in Kenya. A descriptive cross-sectional survey design was adopted. This was a census survey of all the 42 units operating in Bondo. The study established that more than 30% of the studied organizations adopted most of the strategic management practices. These organizations had vision, mission statements and core values which were mainly implied. To larger extent situation analysis, setting of financial objectives, crafting and implementation of strategies and continuous evaluation and control were adopted. The study advances adoption of the strategic management practices by small organizations to remain both efficient and effective. In future research should be conducted on factors influencing and challenges of strategy implementation with respective to community owned organizations like BMUs.
Teachers’ perspectives on translanguaging in EFL classrooms: Discourses around its use in Swedish upper secondary schools

This research focuses on teachers’ perceptions of the term translanguaging in English as a Foreign Language (EFL) classrooms in Swedish upper secondary schools. In Sweden, EFL classrooms are characterized by multilingual environments with a diverse set of learners with different backgrounds. This diversity forces teachers to continuously adjust their teaching approaches based on their judgment of what will benefit students’ proficiency levels. This study aims to explore how English teachers perceive the concept of translanguaging, how they apply it, and how they argue in favor of or against it in EFL classrooms. The data are conducted through teacher interviews with four different teachers at a single Swedish upper secondary school. The insights gained from the interviews are analyzed and compared with previous research in the field of language education. The study aims to enhance our understanding of teachers’ perceptions and practices of the term translanguaging in the EFL classroom, with a specific focus on teachers’ perspectives. The presented results indicate that teachers perceive the term translanguaging to be a vague concept, resulting in a vague implementation in the classroom and a preference for primarily adopting an English-only approach. The study also revealed that teachers found the Swedish syllabus unclear regarding the concept of translanguaging. Additionally, the study uncovered that the diverse ways in which teachers use their linguistic resources in the classroom are connected to the fact that the Swedish syllabus does not specify to what extent Swedish should be used in the EFL classroom. Finally, the study revealed that teachers mainly employed spontaneous translanguaging in their classrooms when considered necessary.
Exploring the potential of forest snow modelling at the tree and snowpack layer scale

Boreal and subalpine forests host seasonal snow for multiple months per year, however snow regimes in these environments are rapidly changing due to rising temperatures and forest disturbances. Accurate prediction of forest snow dynamics, relevant for ecohydrology, biogeochemistry, cryosphere, and climate sciences, requires process-based models. While snow schemes that track the microstructure of individual snow layers have been proposed for avalanche research, tree-15 scale process resolving canopy representations so far only exist in a few snow-hydrological models. A framework that enables layer and microstructure resolving forest snow simulations at the meter scale is lacking to date. To fill this research gap, this study introduces the forest snow modelling framework FSMCRO, which combines two detailed, state-of-the art model components: the canopy representation from the Flexible Snow Model (FSM2), and the snowpack representation of the Crocus ensemble model system (ESCROC). We apply FSMCRO to discontinuous forests at boreal and subalpine sites to 20 showcase how tree-scale forest snow processes affect layer-scale snowpack properties. Simulations at contrasting locations reveal marked differences in stratigraphy throughout the winter. These arise due to different prevailing processes at under-canopy versus gap locations, and due to variability in snow metamorphism dictated by a spatially variable snowpack energy balance. Ensemble simulations allow us to assess the robustness and uncertainties of simulated stratigraphy. Spatially explicit simulations unravel the dependencies of snowpack properties on canopy structure at a previously unfeasible level of 25 detail. Our findings thus demonstrate how hyper-resolution forest snow simulations can complement observational approaches to improve our understanding of forest snow dynamics, highlighting the potential of such models as research tool in interdisciplinary studies
The Behavioral Intention to Use FinTech in Millennial Generation (Extension of TAM Model)

This research aims to analyze the Behavioral Intention of the Millennial Generation in using FinTech as a payment platform and the factors that influence it by extending the TAM model. The extension variables of the TAM model are Trust, Habit, and Perceived Risk. The population in this study consisted of 521 Millennial generation respondents using purposive sampling. The analytical method used is the Structural Education Model (SEM) using Smart PLS. Based on the research results, it was found that perceived ease of use, perceived usefulness, and attitude had a positive effect on behavioral intentions. These results prove that the TAM model is a powerful model for behavioral intentions. Meanwhile, for the expansion variable, the research results show that risk perception and trust have no effect on behavioral intentions or attitudes toward using FinTech, while habits have a positive effect on behavioral intentions toward using FinTech. This research also produces perceived ease of use and perceived usefulness, which influence trust and habits. Perceived risk has a negative effect on perceived usefulness but has no effect on trust. The millennial generation pays attention to perceived ease of use, perceived usefulness, and habits in using Fintech services, so Fintech service providers must increase the ease of using FinTech and create innovations to increase the benefits of FinTech.
Vegetative Buffer Strips for Reducing Herbicide Transport in Runoff: Effects of Buffer Width, Vegetation, and Season

The effectiveness of vegetative buffer strips (VBS) for reducing herbicide transport has not been well documented for runoff prone soils. A multi‐year plot‐scale study was conducted on an eroded claypan soil with the following objectives: (1) assess the effects of buffer width, vegetation, and season on runoff transport of atrazine (ATR), metolachlor (MET), and glyphosate; (2) develop VBS design criteria for herbicides; and (3) compare differences in soil quality among vegetation treatments. Rainfall simulation was used to create uniform antecedent soil water content and to generate runoff. Vegetation treatment and buffer width impacted herbicide loads much more than season. Grass treatments reduced herbicide loads by 19‐28% and sediment loads by 67% compared to the control. Grass treatments increased retention of dissolved‐phase herbicides by both infiltration and adsorption, but adsorption accounted for the greatest proportion of retained herbicide load. This latter finding indicated VBS can be effective on poorly drained soils or when the source to buffer area ratio is high. Grass treatments modestly improved surface soil quality 8‐13 years after establishment, with significant increases in organic C, total N, and ATR and MET sorption compared to continuously tilled control. Herbicide loads as a function of buffer width were well described by first‐order decay models which indicated VBS can provide significant load reductions under anticipated field conditions.
UniTask: A Unified Task Assignment Design for Mobile Crowdsourcing-Based Urban Sensing

Mobile crowdsourcing (MCS) becomes an emerging paradigm for various useful urban sensing application designs by assigning the crowdsourcing tasks to the participants with rich-sensor equipped mobile devices. To effectively assign MCS tasks, many research efforts have been made in the literature. However, most prior schemes mainly optimize certain performance metrics in the assignment, yet overlooking other metrics, which thus cannot guarantee the overall system performance. This also limits the applicability of the proposed solution dedicated to the targeted performance metrics only. In this paper, we present UniTask, a unified task assignment design to address these issues. UniTask jointly considers the representative MCS performance metrics, including coverage, latency, and accuracy, to optimize the overall system utility. We mathematically formulate this problem and prove its NP-hardness. To efficiently schedule tasks, we also propose a utility-aware heuristic algorithm in UniTask. Moreover, a set of optimization techniques are further designed to enhance UniTask. Extensive evaluations are performed on two real-world datasets. Experimental results demonstrate that utility is an effective indicator of the system’s overall performance. With an optimization on the system utility, UniTask can outperform the baseline methods on these individual performance metrics.
Information and Software Technology

Objective: The aim of our research is to support distributed software design activities in Virtual Reality (VR). Method: Using design science research methodology, we design and evaluate a tool for collaborative design in VR. We evaluate the collaboration efficiency and recall of design information when using the VR software design environment compared to a non-VR software design environment. Moreover, we collect the perceptions and preferences of users to explore the opportunities and challenges that were incurred by using the VR software design environment. Results: We find that there is no significant difference in the efficiency and recall of design information when using the VR compared to the non-VR environment. Furthermore, we find that developers are more satisfied with collaboration in VR. Conclusion: The results of our research and similar studies show that working in VR is not yet faster or more efficient than working on standard desktops. It is very important to improve the interface in VR (gestures with haptics, keyboard and voice input), as confirmed by the difference in results between the first and second evaluation.
The role of

We analyze stock market participation in 19 European countries, providing a composite view of the interplay and relative importance of established participation drivers. We jointly control for nearly all relevant drivers found in prior studies, which tend to introduce one novel variable at a time and often omit risk-aversion. Excellent full model predictive power decomposes into institutional (country) ﬁxed effects (about 30% of total), traditional individual-level variables (50%), and more recently identiﬁed behavioral variables (20%). We sketch a hierarchical framework where factors’ effects vary by agents’ proneness to participate. We also challenge and complement existing interpretations given to sociability, IQ, trust, and life experiences. © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
The Shackleton Range (East Antarctica): an alien block at the rim of Gondwana?

Abstract The Shackleton Range is a truncated Pan-African Orogen situated at the Weddell Sea margin of East Antarctica. It almost exclusively consists of basement rocks exposed at an elevated, escarpment-bound palaeosurface and is covered locally by patchy remnants of Ordovician, Permian and, controversially, Jurassic terrestrial deposits. This inventory does not match the geological record of any other place in Antarctica. Here we reconstruct the Phanerozoic evolution of the Shackleton Range by means of a multi-disciplinary approach combining petrological, geochemical and geochronological data with thermal history models of zircon and apatite fission track (ZFT, AFT) and (U–Th–Sm)/He (AHe) data. Petrographic, geochemical and 40Ar/39Ar analyses of a sedimentary cover sequence identify volcaniclastic rocks related to the Ferrar/Karoo magmatic event. Thermal history modelling of ZFT ages of 160–215 Ma, AFT ages of 124–225 Ma, AHe ages of 95–169 Ma and kinematic proxies in combination with geological information indicates a complex thermal history comprising at least three cooling episodes interrupted by reheating pulses. Thermal history refers to inversion of part of the Carboniferous–Triassic Transantarctic Basin prior to the 180 Ma Ferrar/Karoo Event and formation of an up to 3.4 km deep extensional Jurassic – Early Cretaceous basin due to Weddell Sea rifting. Basin depth was diminished by regional middle Cretaceous stress field changes. Final basin inversion and surface uplift were likely triggered by far-field tectonics and climatic influence. This history represents a typical example for the transition from an active to passive margin setting along the outer rim of Gondwana.
Clinical implications and predictive value of the creatinine‑cystatin C ratio in patients with multiple myeloma and renal impairment

The creatinine (Cr)-cystatin C ratio (CCR) at the time of cancer diagnosis is associated with survival; however, to the best of our knowledge, the association between this ratio and mortality in patients with multiple myeloma and renal impairment (RI) is unclear. Therefore, the present study aimed to assess this association, as well as disease prognosis and the clinical significance of the CCR in patients with multiple myeloma and RI. The present retrospective study included 191 patients diagnosed with multiple myeloma and RI between 2012 and 2022. The predictive value of the CCR was evaluated using area under the receiver operating characteristic curve (AUC) values. The factors affecting overall survival (OS) were assessed using uni- and multivariate logistic regression analyses. The effect of the CCR on survival was evaluated using a Cox regression model and the Kaplan-Meier method. There was a significant association between low CCR and poor progression-free survival (PFS) and overall survival (OS). The 1-, 2- and 3-year PFS and OS rates in patients with a low CCR were significantly lower than those in patients with a high CCR. The 1-, 2- and 3-year AUC values of the CCR were 0.712, 0.764 and 0.746 respectively. Multivariate analysis revealed sex, age, Cr levels, CCR and C-reactive protein levels as independent prognostic factors affecting OS rates. The CCR is a potential prognostic indicator in patients with multiple myeloma with RI and is associated with clinical stages.