Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of exotic tomato germplasm from ICAR-NBPGR gene bank

The present study describes the characterization of 148 exotic tomato accessions from ICAR-NBPGR, New Delhi gene bank. The degree of variance for morphological features was high. Mean plant height of 72.36 cm, number of primary branches 2.7, days to 50% flowering 74.9, number of flower clusters per plant 5.91, number of flowers per cluster 3.91, number of locules per fruit 3.08, fruit weight 62.06 g, pericarp thickness 4.32 mm, fruit length 45.98 mm, fruit width 45.9 mm, total soluble solids 4.81° Brix and yield per plant 0.28 Kg were recorded. The first eight PCA extracted accounted for 89.23% of the total variation based on 12 phenotypic characters. A significant positive association was observed among the fruit characters. High PCV, GCV, heritability and GAM were recorded for most of the characters studied. The high variability especially for economically important fruit characters among the tomato germplasm like EC716696, EC715399, EC705451, EC705439, EC699717, EC695044, EC695038, EC695037, EC759285, EC759989 and EC759255 recorded higher TSS values and, germplasm like EC753226, EC716696, EC753220 and EC759989 recorded higher fruit yield per plant, makes this germplasm a potential resource for future tomato breeding programmes.
Telemedicine Adoption for Healthcare Delivery: A Systematic Review

—Telemedicine is the delivery of healthcare services using telecommunication and information technologies. The adoption of telemedicine has been promoted by advancements in technology, increased accessibility to the Internet, and the need for convenient and efficient healthcare delivery. Understanding the theoretical foundations of telemedicine adoption among healthcare providers and patients is crucial for successful acceptance and utilization. This systematic review aims to explore the theoretical frameworks and models that have been widely utilized to understand telemedicine adoption among healthcare providers and patients. A systematic search was conducted across two popular electronic databases, resulting in the inclusion of 21 relevant studies. The selected studies were analyzed to identify the theoretical perspectives employed in telemedicine adoption research. The key findings reveal that the Technology Acceptance Model (TAM), the Unified Theory of Acceptance, and the Use of Technology (UTAUT) model are the most widely models used to illustrate the factors affecting telemedicine adoption among healthcare providers and patients through different countries and telemedicine contexts. Understanding these theoretical models is crucial for policymakers and healthcare professionals as it can provide insight into the key factors influencing the widespread adoption of telemedicine. This knowledge can serve as a guidance for crafting initiatives, and tailoring policies to promote the successful acceptance and utilization of telemedicine among providers and patients in diverse healthcare environments.
‘I don’t know the hierarchy’

The provision of online resources for tertiary student literacy development outside of students’ curricular contexts is problematic because engagement with centralised support provisions is low. As part of a Library team focused on student literacy development across our university, we have conducted multiple rounds of user experience (UX) testing with our students to design a set of resources in a course within our learning management system that all students can access. Our most recent UX employed usability testing, card sorting, and low-fi wire framing activities to identify how students experience our resources. Findings indicate that students are confused by enforced groupings of literacy development content and that they expect our resources to be accessible with the rest of their assessment information. Implications for design include balancing student expectations of immediate access to relevant literacy development resources with the constraints of having a small team who can design this content.
Field investigation and numerical simulation toward the control of longshore sediment transport on Laura islet in Majuro Atoll

Although the sustainable land use is a significant issue in the atoll islands, the quantitative information and numerical models of island changes are lacked. In this study, the measurements of beach profiles were carried out in Laura islet located in the western part of Majuro Atoll, Marshall Islands. Comparing our measurement results with the previous SOPAC's profiles revealed the quantitative profile changes during the last decade: from 1997 to 2007. We also reproduced these profile changes by the numerical model which was based on longshore sediment transport system. The calculated results and the measured profile changes showed a good agreement. And, the artificial control of longshore sediment transport was considered one of the valuable ways for sustainable land management on sandy beach of Laura islet.
Semi-Passive UHF RFID Sensor Tags: A Comprehensive Review

This paper presents a comprehensive overview and analysis of the state-of-the-art (SoA) in semi-passive or Battery-Assisted (BAP) Ultra-High Frequency (UHF) Radio Frequency Identification (RFID) sensor tags compliant with EPC Global G2/ISO-18000C. These tags operate on the same communication principle as fully passive sensor tags but incorporate a battery or an energy harvesting module. This additional power source extends communication ranges and enables power demanding applications using low-power microcontrollers (MCUs) and higher-end sensors. This article also analyzes various key features, including tag integrated circuit (IC) architecture, types of energy harvesting modules, and communication range. The main conclusions are threefold. Firstly, selecting the appropriate tag IC requires a careful analysis of its features such as sensitivity, sensor interfaces, or data logging capabilities. For instance, among the solutions examined in the SoA, half of them opted for a tag IC capable of MCU communication via SPI or I2C buses. Secondly, it is essential to assess both the forward and backward communication links to leverage the sensitivity of the tag IC in BAP mode. Interestingly, only one-third of the SoA solutions achieved the theoretical communication range anticipated by the sensitivity of the tag IC. Finally, an energy budget analysis is required to ensure that the energy generation suffices to meet the energy requirements of the tag. While most solutions rely on batteries as the energy source and analyze battery lifespan, only a few studies employing energy harvesters conduct an energy budget analysis due to the additional complexity involved.
Tourist Impact in the Historic Centre of Prague: Resident and Visitor Perceptions of the Historic Built Environment

a focus of tourist activity and is widely considered a compulsory part of any visit to Prague. In short, there is clearly a definable historic core which has long been the overwhelming focus of tourist activity in the city (see Fig. 1). Since the collapse of communism at the end of the 1980s, cities in the countries of Central and Eastern Europe have undergone a process of rapid transition. With the opening up of these countries to the influence of mass international tourism, related land-use change in historic city centres has emerged as a key aspect of post-socialist urban restructuring. Whilst sharing common themes, the impact of tourism in historic cities is inherently place specific. Prague's historic env¢onment is imbued with significant social, political and cultural meanings, which have become all the more important as the Czech Republic struggles to maintain its cultural identity within the processes of globalization and European integraiion. The complex intelplay of tourism and historic preservation lies at the centre of the management of urban conflict in historic European cities (Ashworth and Tunbridge, 1990). In the first instance, tourism can be regarded as a threat to the historic fabric. Conversely, however, the economic gains incurred by tourism's accompanying development can directly and indirectly finance the required conservation measures.
Nothing new in research on environmentally sustainable tourism

Sustainable tourism has become an area of great interest to both academia and industry over the past three decades, producing a large number of research studies designed to advance knowledge of the area. For tourist destinations concerned about the sustainability of tourism, the attraction of individuals who may have a lower ecological footprint/impact is desirable. However, a review of sustainable tourism and ecotourism literature reveals that over the past 15 years, there has been little advancement (or agreement) in regards to the definition of sustainable tourism/tourists or characteristics that may identify environmentally friendly (and sustainable) tourists. Given this lack of agreement and consistent research findings, it would be expected that current researchers would be providing a large number of recommendations for future work. Surprisingly this is not the case, with few of the reviewed papers presenting any recommendations at all. The review concludes with the authors' views on where more research in the area of ecologically sustainable tourism is needed.
Mid-Holocene PMIP3/CMIP5 model results: Intercomparison for the South American Monsoon System

The mean precipitation fields for eastern South America from eight mid-Holocene (6 ka) simulations, part of the third phase of Palaeoclimate Modeling Intercomparison Project (PMIP3) and the fifth phase of the Coupled Model Intercomparison Project (CMIP5), are evaluated. These simulations were compared to a new multiproxy compilation of 120 previously published records of changes in South American paleoclimate. Results show that when compared with modern conditions, mid-Holocene proxy data point to a drier Southern Brazil and South Atlantic Convergence Zone (SACZ), but a wetter/similar Northeastern Brazil. This suggests a weaker South American Monsoon System during the mid-Holocene when compared with its modern strength. All analyzed model simulations indicate a similar pattern, with a southward shift of the Intertropical Convergence Zone during the mid-Holocene, related to a weaker South Atlantic subtropical high, and negative annual precipitation anomalies over the SACZ area. Regional differences between the analyzed models were clearly detected.
Streamflow Calibration of Two Sub-basins in the Lake Whatcom Watershed, Washington, Using a Distributed Hydrology Model

iv ACKNOWLEDGEMENTS vi LIST OF TABLES ix LIST OF FIGURES x 1.0 INTRODUCTION 1 2.0 BACKGROUND 2 2.1 Lake Whatcom Watershed and Austin and Smith Creek Sub-basins 2 2.1. 1 Topography 2 2.1. 2 Geology 2 2.1. 3 Soils 4 2.1. 4 Vegetation 5 2.1. 5 Hydrology 5 2.1. 6 Climate 6 2.1. 7 DHSVM 8 2.2 Previous Work 9 2.2.1 Lake Whatcom Watershed and Smith and Austin Sub-basins 9 2.2. 3 DHSVM Studies 10 3.0 RESEARCH OBJECTIVES 13 4.0 METHODOLOGY 13 4.1 Basin Setup 13 4.1. 1 Digital Elevation Model (DEM) 14 4.1. 2 Sub-basin Masks and Analysis Domain 14 4.1. 3 Soil Textures 15 4.1. 4 Soil Thickness 15 4.1. 5 Vegetation Data 16 4.1. 6 Flow Network 16 4.1. 7 Constant Basin Parameters 17 4.2 Meteorological Data 17 4.3 Streamflow Gages in Lake Whatcom Watershed 18 4.4 Initial Calibration and Validation 18 4.4.1 Initial Calibration 19 4.4.2 Validation 22 4.5 Model Sensitivity Analyses 22 4.6 Modeling Assumptions 25 5.0 RESULTS & DISCUSSION 26 5.1 Basin Setup 26 5.2 Meteorological Data 26 5.3 Calibration 26 5.3. 1 Annual Calibration 27 5.3. 2 Monthly Calibration Results and Streamflow 30 5.3. 3 Descriptive Statistical Comparison of Calibration Simulations and Recorded Flow 32
Effect of Ultrasonic-Assisted Enzymatic Hydrolysis on Functional Properties and Antioxidant Activity of Eri Silkworm Pupa Protein Isolate

Philosamia ricini (Eri silkworm) pupa protein isolate (EPI) was utilized to prepare pupa protein hydrolysate (EPIH) through enzymatic hydrolysis. Additionally, the isolate underwent ultrasonic treatment at 20 kHz to become ultrasound pretreated EPI (EPIU), which was then enzymatically hydrolyzed to obtain ultrasound pretreated protein hydrolysate (EPIUH). The physicochemical properties of these samples were investigated, including molecular weight, solubility, foaming and emulsion properties, water- and oil-holding capacity, antioxidant activity, and color. When compared to EPI (used as the control), EPIU exhibited a high degree of hydrolysis at 20 minutes (DH = 29.24%). At a total process time of 20 minutes, the degree of hydrolysis for EPIH, EPIU, and EPIUH was found to be 13%, 29%, and 41%, respectively. SDS-PAGE analysis indicated no difference in molecular weight between EPI and EPIU (11–75 kDa). However, the molecular weight profiles of EPIH and EPIUH were reduced (8–45 kDa), resulting in changes in protein functionalities. The high DH value contributed to the enhancement of antioxidant activity, solubility, emulsion capacity, emulsion stability, and foam capacity of the protein isolate at pH 7. Furthermore, the ultrasonic pretreatment of the protein hydrolysate increased the lightness of the protein powder by reducing the enzyme activity of the polyphenol oxidase (PPO). These results suggest that ultrasonic pretreatment of the protein hydrolysate could be applied to improve the properties of Eri silkworm pupa protein for use in the food and beverage industry, such as protein-rich beverages or salad dressings.
On the geolocation accuracy of COSMO-SkyMed products

Accurate geolocation of SAR data is nowadays strongly required because of the increasing number of high resolution SAR sensors available as for instance from TerraSAR-X / TanDEM-X and COSMO-SkyMed space-borne missions. Both stripmap and spotlight acquisition modes provide from metric to sub metric spatial resolution which demands the ability to ensure a geolocation accuracy of the same order of magnitude. Geocoding quality depends on several factors and in particular on the knowledge of the actual values of the satellite position along the orbit, and the delay introduced by the additional path induced by changes in the refractivity index due to the presence of the atmosphere (the so called Atmospheric Path Delay or APD). No definitive results are reported yet in the scientific literature, concerning the best performances achievable by the COSMO-SkyMed constellation in terms of geolocation accuracy. Preliminary studies have shown that sub-pixel geolocation accuracies are hardly achievable with COSMO-SkyMed data. The present work aims at inspecting the origin of the geolocation error sources in COSMO-SkyMed Single-look Complex Slant (SCS) products, and to investigate possible strategies for their compensation or mitigation. Five different test sites have been selected in Italy and Argentina, where up to 30 corner reflectors are installed, pointing towards ascending or descending passes. Experimental results are presented and discussed.
Simulation of Signalized Intersection with Non-Lane-Based Heterogeneous Traffic Conditions Using Cellular Automata

Intersections affect the maneuvering and driving behavior of vehicles. The present study attempts to simulate an isolated signalized intersection with the dimensions obtained through the influence zone of intersections. This model includes several unexplored traffic characteristics observed at the intersection, such as non-lane-based heterogeneity and seepage behavior. The model was calibrated and validated with the field data collected in New Delhi, India. Several measures of performance, such as GEH statistics, Theil’s coefficient, root mean square error, and so forth, were used to validate and benchmark the simulation model. After calibration and validation, the model was used to find delays. The delays obtained from the model, several manuals, and the field were compared and found to be close to the field delays. Further, delays obtained from Indonesian and Canadian manuals were comparatively closer to the delays obtained from the field, whereas delays obtained from the Indian Highway Capacity Manual (2017) and U.S. Highway Capacity Manual (2010) are overestimated. The model presented can be used to benchmark the performance of signalized intersections under a variety of traffic and environmental conditions.
Breast Cancer Detection System using Deep Learning Based on Fusion Features and Statistical Operations

— Breast cancer is considered as the second cause of death for women. The earlier is diagnosed, the easier the patients can be recovered. The need for studies to detect this kind of cancer easily and accurately came from the growing rate of infected patents by breast cancer exponentially. This study is conducted to investigate the use of deep-learning model for breast cancer detecting using the technique VGG-19 and ultrasound images. Two layers of VGG19 structure were used: (i.e. fc6 and fc7. Based on these two layers (fc6 and fc7), new datasets were created, which are named as statistical operations. These datasets will be employed as input for the following Machine Learning classifiers: K-Nearest Neighbors, Random Forest, Naïve Bayes and Decision Tree. Data augmentation was considered to increase the dataset size for better learning of CNN. Random Forest achieved high accuracy (88.63), precision (0.88), recall (0.88) and F-Measure (0.88). The results of the classification accuracy in the three scenarios are slightly similar; this proves that the breast cancer can be detected even if the size of data in the training dataset was minimal.
To What Extent Does the Adoption of Modern Variety Increase Productivity and Income? A Case Study of the Rice Sector in Tanzania

Although high-yielding modern rice varieties (MVs) have been gradually disseminating over Sub-Saharan Africa, little is known about how their adoption influences agriculture productivity and household income. To fill this research gap, we analyzed two kinds of data sets in Tanzania: a national representative cross-sectional data and a two-year panel data of irrigated farmers in one district. The most important finding is a strong complementary relationship between MVs and water control; high yield is achieved when MVs are grown with improved bunds in paddy fields of irrigated areas. We also find that the use of chemical fertilizer and the practice of transplanting in rows increase yield and income of both the adopters and nonadopters of MVs in the irrigated areas. In rain-fed areas, we observe a limited impact of MVs. These findings suggest that introducing MVs as a package of technologies with agronomic practices is effective to fully achieve their potential. In the long run, development of irrigation would be important to realize a rice Green Revolution in Sub-Saharan Africa.
Impact of dataset choice on calculations of the short‐term cloud feedback

Dessler [2010, hereafter D10] estimated the magnitude of the cloud feedback in response to short‐term climate variations and concluded that it was likely positive, with an average magnitude of +0.50 ± 0.75 W/m2/K. This paper investigates the sensitivity of D10's results to the choice of clear‐sky top‐of‐atmosphere flux (ΔRclear‐sky), surface temperature (ΔTs), and reanalysis data sets. Most of the alternative ΔRclear‐sky data sets produce cloud feedbacks that are close to D10, differing by 0.2–0.3 W/m2/K. An exception is the Terra SSF1deg ΔRclear‐sky product, which produces an overall negative cloud feedback. However, a critical examination of those data leads us to conclude that that result is due to problems in the Terra ΔRclear‐sky arising from issues with cloud clearing prior to July 2001. Eliminating the problematic early portion yields a cloud feedback in good agreement with D10. We also present an alternative calculation of the cloud feedback that does not require an estimate of ΔRclear‐sky, and this calculation also produces a positive cloud feedback in agreement with D10. The various ΔTs data sets produce cloud feedbacks that differ by as much as 0.8 W/m2/K. The choice of reanalysis, used as a source of ΔRclear‐sky or as adjustments for the cloud radiative forcing, has a small impact on the inferred cloud feedback. Overall, these results confirm the robustness of D10's estimate of a likely positive feedback.
Dual outflow upper arm arteriovenous fistula: An effective technique to prevent cephalic arch stenosis

Cephalic arch stenosis (CAS) is critical point to maintain functional arteriovenous fistula (AVF) in patients undergoing hemodialysis with brachio-cephalic AVFs. In this study, we aimed to determine the effectiveness of dual outflow (cephalic and basilic veins) as a surgical method to prevent CAS. Between July 2016 and December 2019, 369 patients underwent upper arm AVF creation. Among them the 251 patients were enrolled in this retrospective study. Two hundred seven underwent brachio-cephalic arteriovenous fistula (BCAVF) and 44 underwent brachio-cephalicbasilic arteriovenous fistula (BCBAVF). From the 251 patients, diabetes mellitus (66.7% vs 36.4%, P < .001) and hypertension (91.3% vs 75%, P = .002) were more common in the patient group who underwent BCAVF surgery; however, the difference in volume flow to the fistula did not differ between the 2 groups. CAS (30.4% vs 9.1%, P = .004) and fistula occlusion (15.9% vs 4.5%, P = .048) were likely to occur in the BCAVF group. The primary patency rates at 12 months were 74.3% and 86.4% for the BCAVFs and BCBAVFs, respectively (P = .075). The primary-assisted patency rates at 12 months were 87.0% for BCAVFs and 93.2% for BCBAVFs, respectively (P = .145). Secondary patency rates at 12 months were 92.2% for BCAVFs and 93.2% for BCBAVFs, respectively (P = .023). Compared to BCAVF, traditional upper arm AVF, upper arm AVF with cephalic and basilic vein dual drainage can be optimal surgical method to preventing CAS.
Rapid Measurement of Field‐Saturated Hydraulic Conductivity for Areal Characterization

To provide an improved methodology for characterizing the field‐saturated hydraulic conductivity (Kfs) over broad areas with extreme spatial variability and ordinary limitations of time and resources, we developed and tested a simplified apparatus and procedure, correcting mathematically for the major deficiencies of the simplified implementation. The methodology includes use of a portable, falling‐head, small‐diameter (∼20 cm) single‐ring infiltrometer and an analytical formula for Kfs that compensates both for nonconstant falling head and for the subsurface radial spreading that unavoidably occurs with small ring size. We applied this method to alluvial fan deposits varying in degree of pedogenic maturity in the arid Mojave National Preserve, California. The measurements are consistent with a more rigorous and time‐consuming Kfs measurement method, produce the expected systematic trends in Kfs when compared among soils of contrasting degrees of pedogenic development, and relate in expected ways to results of widely accepted methods.