Miracle-dz/UniFAR-FTUs huggingface dataset:
The effectiveness of powdery formulations of long pepper (Piper longum L.) and sweet flag (Acorus calamus L.) to combat the cowpea weevil (Callosobruchus maculatus F.) on stored mung beans

The study aimed to evaluate the efficacy of Piper longum L. fruit and Acorus calamus L. rhizome powders in counteracting the Callosobruchus maculatus F. attacks on the mung bean. People frequently consume mung beans; thus, the insecticides, which are used to prevent seeds from infestations by storage pests, should be formulated in such a way that they can be readily removed from grains prior to cooking; for that reason, powdery formulations were selected. Neem plant (Azadirachta indica A.) gum was pulverized and incorporated as adjuvant according to weight. 100 g of mung bean seed lots were individually exposed to powdery formulations of 80%, 90% and 100% of P. longum and A. calamus, respectively and 100% of adjuvant, along with control. Consequently, five pairs of unsexed C. maculatus were introduced into eight treatments, with three replicates and laid out in the Completely Randomized Design. This experiment was designed to evaluate the adult survival, ovipositional capacity, adult emergence of the F1 and F2 generations and developmental period of C. maculatus, and weight loss in mung bean seeds. Simultaneously, qualitative analysis was done to determine the presence of alkaloids, flavonoids, phenol, tannin, steroids, cardiac glycosides, saponin, and anthraquinone phytochemicals in selected botanicals. Data were subjected to the analysis of variance aided by SAS 9.4 version and means were separated by using the Duncan Multiple Range Test at the 5% significance level. According to the statistical analysis, mung beans treated with 100% A. calamus showed no survival of C. maculatus two days after treatment, whereas those treated with 90% A. calamus powdery pesticide showed 3.3% survival. Though minimum cumulative number of eggs was detected in 90% and 100% (11.0, 9.7) of A. calamus treated mung bean seeds, zero progeny development was observed until 60 days; therefore, no weight loss was detected on mung bean seeds. The study concluded that 90 and 100% of the powdery insecticides from A. calamus were efficacious in safeguarding the mung bean from C. maculatus.
2002-03 Drought: Review of Its Impact on Australian Agriculture

The drought that started in early 2002-03 has significantly affected the farm economy in Australia. For the farm sector as a whole, the volume of production in 2002-03 declined by 23 per cent. Farm incomes have declined sharply. Drought is estimated to have reduced the net value of farm production in 2002-03 to $2.7 billion. Although this is a 75 per cent fall relative to 2001-02, it should not be overlooked that 2001-02 was an unusually good year for the farm sector. Compared with the two most recent serious droughts (1994-95 and 1982-83), the net value of farm production in 2002-03 is estimated to have been higher in real (net of inflation) terms than in 1982-83 when it was around $0.54 billion (in 2002-03 dollars).
MICROBALLOONS: A NOVEL APPROACH TO MITIGATE DIABETES

Diabetes is a long-term metabolic disease marked by the body's incapacity to control blood sugar levels. The prevalence of diabetes has increased significantly due to dietary and lifestyle choices. Novel therapeutic approaches have been investigated to control diabetes and mitigate the dangers related to current medication. Advanced microspheres have been created by certain researchers recently, either for the delivery of insulin and anti-diabetic medications or for diagnostic use. The creation of controlled or sustained delivery products with a quick start of action and enhanced bioavailability is made possible by these microspheres. The purpose of this study is to present an overview of diabetes, contemporary treatments, innovative drug delivery methods specifically, microballoons and previously developed microballoons for anti-diabetic medications. There is much promise for incorporating novel approaches in the diagnosis and treatment of diabetes with microballoons. There may still be issues with these approaches' scalability and practical applications that need to be resolved.
Precise Frequency Response of COTS LED for VLC Using Internal Quantum Efficiency Metric

Visible light communications (VLC) utilizing LEDs for transmissions have been widely considered a revolutionary solution for next-generation networks such as 6G. Frequency response (FR) is of great importance for LEDs, but the inherent internal quantum efficiency (IQE) of LEDs is often disregarded, resulting in imprecise FR models. Although it is widely known that IQE varies with the injected direct current (DC), the impact of IQE on the frequency response has not been thoroughly analyzed. To address this issue, we have developed a precise electro-optical (E-O) FR model by incorporating the ABC model of IQE, named IQE-FR. To validate the accuracy of IQE-FR, we conducted the experiments using commercial off-the-shelf (COTS) LEDs including a tri-color LED and three monochromatic LEDs. The IQE-FR model aligns well with the experimental findings in terms of the maximum FR value, while state-of-the-art FR models that ignore the IQE effects do not yield consistent results. Specifically, we discovered that the red LEDs exhibit a stable DC gain when the biasing current rises to 300 mA, but the highest DC gain for green and blue LEDs can only be achieved under 100 mA. For green and blue LEDs, the biasing currents are much lower than their typical working currents (350 mA and 500 mA). To address the trade-off between luminance and DC gain, we propose cascading multiple LEDs operating at a low current corresponding to the maximum response. Experimental results demonstrate that four cascaded monochromatic LEDs exhibit similar bandwidth and response gain larger than 11 dB compared to a single LED at the same biasing current while delivering four times the emission power, which is very close to the theoretical value of 12 dB. Furthermore, we find that the DC gain improvement by cascading multiple LEDs is nonlinear and bounded by an upper limit as the number of LEDs increases, and as a cost-effective solution, a few tens of LEDs is recommended. To the best of our knowledge, this is the first attempt to apply the IQE model to study the LEDs’ precise FR performances for VLC. We believe that the precise IQE-FR model opens new avenues for optimizing VLC system performance by considering the effects of IQE.
SELM: Self-Motivated Ensemble Learning Model for Cross-Domain Few-Shot Classification in Hyperspectral Images

Hyperspectral image (HSI) classification is a common task in remote sensing that often faces challenges due to limited samples and cross-domain discrepancies between training and test data. This particular problem is termed as HSI cross-domain few-shot classification (HSI-CFSC). To solve this problem, we propose a self-motivated ensemble learning model (SELM). Building upon source pre-trained representations, our end-to-end approach comprises a self-training paradigm to iteratively refine target representations independent of direct source supervision. Moreover, an ensemble classifier suite leveraging diverse decision boundaries is optimized to excavate comprehensive classification cues from limited labeled target data. The overall accuracy (OA), average accuracy (AA), and Kappa of SELM in UP, PC, and Salinas datasets are, respectively, 86.55%, 82.27%, 82.10%, 98.07%, 94.20%, 97.30%, and 91.33%, 94.96%, 90.37%, which achieve the state-of-art performance compared with other classical methods.
Risk Factors for CAD Among the Patients with Ischemie Heart Disease- A Cross Sectional Study

Introduction: Coronary heart disease (CHD) is an impairment of heart function due to inadequate blood flow to the heart compared to its needs, caused by obstructive changes in the coronary circulation to the heart. It is a common multifarious public health crisis today and a leading cause of morbidity and mortality in both developing and developed countries. Objective: To analyses the risk factors for coronary artery disease (CAD) for patients with ischemia heart disease. Methods: A cross sectional study was conducted at Department of Cardiology, Bangladesh Medical College Hospital, Dhaka, Bangladesh from January to December 2022. Total 150 with acute coronary syndrome or coronary angiographic or Electrocardiography evidence of ischemic heart disease. Risk factors studied were the conventional risk factors for coronary artery disease- hypertension, diabetes mellitus, dyslipidemia, body mass index (BMI), smoking, and family history of coronary artery disease Data are collected from the patients, old medical records, Clinical Examination and Laboratory results of the patients were analyzed for the study. Results: A total of 100 (66.6%) patients in the study gave a positive family history for CAD. Based on the blood 'pressure monitoring, the patients were classified according to JNC 7 (reviewed) classification for hypertension as normotensive 78 (78.0%), pre-hypertensive 4(4.0%), stage 1 hypertension was found in 18 patients (18.0%). There was no gender difference noted in the occurrence of hypertension. From the study, diabetes or impaired glucose tolerance (79%) and dyslipidemia (71%) are the major risk factor for Coronary artery disease as only a minority of the study population had hypertension or gives a history of cigarette smoking. 57% of the study population had a family history of coronary artery disease. Among the studied population, 55% of females are with increased BMI, whereas only 16% of males with CAD were with BMI above 30. Conclusion: Among diabetes mellitus and dyslipidemia are the major Risk factor for Coronary artery disease. So early detection of diabetes mellitus and dyslipidemia and proper treatment of both, before developing the end organ damage, play a vital role for the prevention of coronary artery disease.
IMPACTO DE LOS MODELOS GENERATIVOS DE LENGUAJE DE INTELIGENCIA ARTIFICIAL EN LA EDUCACIÓN SUPERIOR

Este artículo analiza el impacto de ChatGPT, un modelo de conversación de IA, y de otros modelos generativos de lenguaje en la educación superior. Revisa evidencia reciente sobre los beneficios de su uso, como mejorar las habilidades de escritura de los estudiantes y generar preguntas de exámenes. La literatura muestra que el uso de estos modelos puede tener beneficios, tales como la mejora de habilidades de escritura y fácil generación de preguntas para exámenes. Sin embargo, también hay desafíos y riesgos asociados con su uso; problemas con la calidad de la información generada, sobrecarga cognitiva y aspectos éticos. La conclusión destaca la necesidad de establecer pautas y realizar más investigación para implementar estos modelos de forma que mejore la educación sin comprometer la agencia humana.
Are customers ready to be smart? designing smart hotel experiences

Purpose – Even if it is often accepted that smart hotels are built on networks of technological devices, there is currently no consensus among researchers as to what level of technology is required to define a smart hotel. Based on the above-mentioned assumption that smart hotels are built on a network of technological devices, this paper aims to understand how smart hotels can be conceptualised based on customer preferences. Methodology/Design/Approach – To achieve this goal, the paper conceptualises smart hotels as a service network in which the customer comes into contact with a variety of technological and traditional touchpoints on site. This conceptualisation allows the researcher to observe customer preferences at different touchpoints and identify the technologies that are central to the development of the customer experience. Findings – The results show that the ideal customer journey includes both traditional and technological touchpoints and that artificial intelligence is of central importance for the development of the smart hotel concept. Originality of the research – The methodological approach taken in this paper enables researchers and practitioners to easily visualise and identify important patterns in the customer journey, facilitating the task of identifying the most relevant touchpoints in complex service networks, such as smart hotels.
Lower baseline testosterone level is related to earlier development of castration resistance in metastatic prostate cancer: a multi-center cohort study

Purpose In the era of concurrent combination therapy in metastatic hormone sensitive prostate cancer, the impact of the testosterone level before initiating androgen deprivation therapy on treatment outcome is still uncertain. We aimed to investigate its effect on time-to-castration-resistance in a metastatic hormone sensitive prostate cancer cohort. Methods This is a multi-center retrospective study of 5 databases from China, Japan, Austria and Spain including 258 metastatic hormone sensitive prostate cancer patients with androgen deprivation therapy initiated between 2002 and 2021. Baseline testosterone was divided into high and low groups using 12 nmol/L as cutoff level. Primary outcome was time-to-castration-resistance. Secondary outcomes were survival functions. Kaplan-Meier method was employed to evaluate the correlation between baseline testosterone and time-to-castration-resistance. Subgroup analysis was performed to elucidate the effect of upfront combination-therapy and metastatic volume. Results Median age was 72 years. Median follow-up time was 31 months. Median pre-treatment prostate-specific-antigen level was 161 ng/mL. Majority of case were graded as International-Society-of-Urological-Pathology grade 5 (63.6%). 57.8% patients had high volume disease and 69.0% received upfront combination treatment. 44.6% of the cohort developed castration-resistance. The low testosterone group demonstrated shorter mean-time-to-castration-resistance (19.0 vs 22.4 months, p=0.031). The variance was more significant in patients without combination therapy (13.2 vs 26.3 months, p=0.015). Cancer-specific and overall survival were inferior in the low baseline testosterone level group without receiving combination therapy (p=0.001). Conclusions Lower pre-treatment testosterone level is correlated to shorter time-to-castration resistance and worse survival in metastatic prostate cancer patients without upfront combination therapy. Those with low baseline testosterone should be encouraged to adopt combination therapy to delay progression.
A new mathematical model of asymmetric hydraulic fracture growth

Hydraulic fractures generated by fluid injection in rock formations are often mapped by seismic monitoring. In many cases, the microseismicity is asymmetric relative to the injection well, which has been interpreted by stress gradient along the direction of the hydraulic fracture. We present a mathematical model of asymmetric hydrofracture growth based on relations between the solid‐phase stress and the fracture hydraulics. For single fracture and single injection point, the model has three parameters, hydraulic conductivities of the fracture wings, and normalised stress gradient and predicts the positions of the fracture tips as functions of time. The model is applied to a set of microseismic event locations that occurred during and after an injection process. Two different methods are suggested that make it possible to delineate the fracture tips from the set of microseismic events. This makes it possible to determine the model parameters and to check the agreement between the model prediction and the measured data. The comparison of the measured and modelled growth of fracture wings supports both the assumption of the non‐zero stress gradient and the existence of the post‐injection unilateral growth.
A Study On Stress Management Among Employees Towards Alloy Industries With Reference To Coimbatore

In order to boost strength or corrosion resistance, two or more metallic components are mixed to form an alloy, which is a type of metal. A metallic material composed of two or more elements is called an alloy, sometimes known as a compound or a solution. Although the non-metal carbon is an essential part of steel, the constituents of alloys are normally metals. Alloys are often created by melting the mixture of components. According to customer specifications and drawings, Alloys Industries manufactures and exports a variety of machined and un-machined castings made of Carbon Steel, Stainless Steel, Low Alloy Steel, Heat Resistant Steel, Martensitic Stainless Steel (CA6NM), Precipitated Hardened Steel (CB7Cu-1), Nickel Alloy, and Duplex Stainless Steel. The phrase "stress managements" is broad and includes training, facilitation, and education about the effects that stress has on an individual or group. The study of stress management fosters and encourages the development of coping mechanisms. Employees' physiology and psyche are stressed out by organisational elements such management-labor relations, working conditions, resource distribution, the role of trade unions, employee behaviours, etc. The working practises and policies of an organisation are among its most important influencing variables. This study examined the occupational stress experienced by Alloy Industries in Coimbatore, employees in great detail.
Primary phytochemical and pharmacognostic studies on Syzygium cumini Linn. (Jambhul)

From the ancient periods most of the people use lots of herbal medicine. The Syzygium cumini Linn plant has a many medicinal properties. The S. cumini belong to the Myrtaceae family and occurs in tropical and subtropical region of world. This plant origin is South Asia. In India plant found all over the country and it is used for food and medicine. The present study was conducted to investigate the primary phytochemical and pharmacognostic study of S. cumini . The leaves, stem-bark and fruits this plant parts used for the study of primary phytochemical and pharmacognostic examination. The pharmacognostic study based the parameter of macroscopic, microscopic and physico-chemical analysis of plant. The characteristic microscopic features of leaf and stem were observed as stomata, trichomes, multicellular trichomes, phloem cells, xylem cells, collenchyma, spongy parenchyma, vascular bundles and palisade cells. The plant parts like stem, leaves, fruits and seeds of S. cumini were collected from local forest of Nanded. The moisture content, swelling index, foaming index and fluoresces analysis of powder were characterised. Fluoresces analysis of S. cumini crude powder of leaf, stem and fruits under visible and UV light were recorded. Investigation of primary phytochemical analysis were carried out by the qualitative phytochemical test which showed the presence of alkaloids, tannin, flavonoids, saponin, steroids, triterpenoids, phenol, carbohydrate etc. The results obtained in present study will helps to understand importance of S. cumini in medicinal field.
Linking environmental variables to the regional variation in loblolly pine specific gravity in the southeastern United States

Wood specific gravity (SG) is correlated with many physical and mechanical properties and hence is a widely-used indicator of wood quality. Since dry wood contains around 49% carbon, the role of wood SG has emerged in assessment of carbon sequestration potential. Within tree stems, SG shows radial and vertical patterns of variability that are related with tree age, climate and various site conditions. Our goal was to develop a model that estimates ring SG of loblolly pine (Pinus taeda) as a function of cambial age and environment variables as independent variables. Pith-to-bark SG density profiles were obtained on 12-mm increment cores collected from 269 trees from 13 stands across the Southeastern U.S. using X-ray densitometry. We used the spatial coordinates of the stands to obtain interpolated climate variables for each year corresponding to the year of each growth ring. A four-parameter logistic base model was used to predict SG with cambial age as the explanatory variable. The base model was updated and modified using environmental covariates including annual indices for temperature and water deficit, and soil characteristics including permeability and depth to water table. The inclusion of environmental covariates improved the prediction by reducing root mean square error by 3.5 percent and decrease in AIC by 2% compared with the base model. Temperature positively affected both the upper asymptote and the point of inflection in the SG model, and water deficit was negatively related to SG. The model developed can be used to predict SG under contrasting conditions of climate and soil. INDEX WORDS: annual rings, carbon sequestration, climate, dendrochronology, wood density, wood quality LINKING ENVIRONMENTAL VARIABLES TO THE REGIONAL VARIATION IN LOBLOLLY PINE SPECIFIC GRAVITY IN THE SOUTHEASTERN UNITED STATES
Modelagem em grafos a partir de bancos de dados relacionais

Resumo—A importância de trazer dados do modelo relacional para outros modelos e tecnologias tem sido amplamente debatidos, como por exemplo a publicação de dados como grafos. Este modelo permite executar análises topológicas, tal como ocorre nas análises de redes sociais, predição de ligações e sistemas de recomendação. Existem iniciativas para mapear de um banco de dados relacional para a representação em grafo. No entanto, eles não consideram as diferentes maneiras de gerar esses grafos, especialmente quando o objetivo é realizar análises topológicas. Este trabalho propõe heurı́sticas para facilitar a sistematização do mapeamento de dados do modelo relacional para a representação em grafos. A principal contribuição é que a escolha do modelo do grafo deve considerar o tipo de análise topológica que será realizada pelo usuário. Experimentos são apresentados e mostram resultados interessantes, incluindo heurı́sticas para apoiar o usuário na escolha da modelagem do grafo.
Design and Development of a Digital Personalized Learning Track: Bridging the Gap Between Textual and Visual Programming

Due to swift technological changes in society, programming tasks are proliferating in formal and informal education around the globe. However, challenges arise regarding the acquisition of programming skills. Many students are unequipped to develop programming skills due to limited instruction or background and therefore feel insecure when encountering programming in higher education. Some after-school initiatives focus on teaching younger students programming skills, however, not all students have the opportunity to attend. It can also be very challenging for teachers to teach programming—even more so due to significant differences in students’ knowledge and interests. To alleviate these challenges, we designed and developed a digital personalized learning (DPL) track for programming in the first grade of secondary education (12–14 year-old students) with a threefold purpose: (a) to encourage students bridging the gap between visual and more general-purpose textual programming languages (b) to meet differences in students’ programming knowledge by challenging them, albeit on their own pace, and subsequently (c) to support teachers in the delivery of programming education with relevant supportive learning materials. The design was tested by students and teachers, both of varying technical abilities. Assessments of the DPL-track were positive, with students identifying the tasks as challenging and the tools as motivating. Teachers praised the adaptivity, as well as the gradual transition from visual to textual programming. We present several suggestions for design improvement and dilemmas while reflecting on our design case.