Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of thermionic cooling semiconductor heterostructures with deep learning techniques

We present a deep learning neural network model to find the AlGaAs-based thermionic cooling structures with the best trade-off between the cooling of the lattice and the cooling of the electrons. These devices are based on the electron-phonon interactions, and therefore, the computational requirements to perform the non-equilibrium Green’s function simulations combined with the heat transport and Poisson equations (NEGF+H+P) are very large. The neural network model used is based on the multi-layer perceptron (MLP) machine learning architecture. The comparison between the NEGF+H+P simulations and the values predicted with the MLP gives accurate estimations for the properties studied: gap between the Fermi level of the emitter and the ground state of the quantum well (W), the electron temperature in the quantum well (Te), and the cooling power of the lattice (CP). Also, after using the MLP to predict one million of different device configurations we found the heterostructures corresponding to the maximun CP, minimun Te, and the best trade-off between both.
Pollinator Diversity and Foraging Behaviour of Insect Pollinators in Aonla

This study is on the diversity, abundance of floral visitors, foraging rate and speed of major pollinators in aonla orchard. Aonla flowers were observed with 22 floral visitors belonging to the Hymenoptera, Diptera, Lepidoptera and Coleoptera. Tetragonula iridipennis was the most abundant floral visitor followed by Apis cerana indica and A. dorsata. Number of flowers visited by A. cerana indica (13.46 flowers/ min) and T. iridipennis (8.26) was maximum during 1100-1200 hr. The time spent by A. cerana indica (6.24 sec/flower) and T. iridipennis (6.20) was also maximum during 1100-1200 hr.
Optimizing Sensitivity in a Fluid-Structure Interaction-Based Microfluidic Viscometer: A Multiphysics Simulation Study

Fluid-structure interactions (FSI) are used in a variety of sensors based on micro- and nanotechnology to detect and measure changes in pressure, flow, and viscosity of fluids. These sensors typically consist of a flexible structure that deforms in response to the fluid flow and generates an electrical, optical, or mechanical signal that can be measured. FSI-based sensors have recently been utilized in applications such as biomedical devices, environmental monitoring, and aerospace engineering, where the accurate measurement of fluid properties is critical to ensure performance and safety. In this work, multiphysics models are employed to identify and study parameters that affect the performance of an FSI-based microfluidic viscometer that measures the viscosity of Newtonian and non-Newtonian fluids using the deflection of flexible micropillars. Specifically, we studied the impact of geometric parameters such as pillar diameter and height, aspect ratio of the pillars, pillar spacing, and the distance between the pillars and the channel walls. Our study provides design guidelines to adjust the sensitivity of the viscometer toward specific applications. Overall, this highly sensitive microfluidic sensor can be integrated into complex systems and provide real-time monitoring of fluid viscosity.
Quantitative and qualitative evidence from a survey of relocating owner-occupiers

The paper addresses the question of the acceptability to residents of policies promoting more sustainable urban forms through compaction or intensification and greater land use mixing. It does so by examining the motives, behaviour and preferences of a sample of households moving house within the owneroccupied sector in the Cardiff region of South Wales. The findings suggest that most relocating households prefer, and actively seek to move to, less sustainable detached or semi-detached housing with private gardens, often in suburban locations. Apartment living and city centre and dockland locations are rarely preferred. Access to facilities in mixed land use areas appears not to be a prominent concern for many. To reconcile these results with the apparent buoyancy of housing markets in central city and dockland locations, the characteristics and preferences of residents in these areas are examined.
10Be Exposure Age Dating of Moraine Boulders and Glacially Polished Bedrock Surfaces in Karakoram and Ladakh Ranges, NW Himalaya: Implications in Quaternary Glaciation Studies

Terrestrial cosmogenic nuclide (TCN) dating has emerged as one of the most useful techniques in the last two decades for quantifying geomorphological processes and building the chronology of late Quaternary glacial advances/retreats. The chronology based on TCN and optically stimulated luminescence (OSL) dating of glacial landforms from the northwestern (NW) Himalaya suggests that glaciers responded to a complex interaction between temperature and moisture essentially derived from either of the climate systems, the Indian Summer Monsoon (ISM) and the Mid‐latitude Westerlies (MLW). The discrepancies between the TCN ages obtained on moraine boulders/bedrock surfaces, and the OSL ages on the stratigraphically equivalent deposits, highlighted the need for a detailed investigation. The present study attempts to build the chronology of Quaternary glaciation events in the Karakoram and Ladakh Ranges using TCN dating of stratigraphically constrained moraine boulders and striated bedrock surfaces. The TCN ages from glacially eroded surfaces (GES) having prominent striations are narrowly clustered around the Marine Isotopic Stage‐2 (MIS‐2). Agreement between GES TCN ages and OSL ages on the stratigraphically equivalent moraines suggests negligible geological inheritance. The glacial advance during MIS‐2 can be attributed to the combined effect of reduction in north hemispheric insolation and enhanced westerly precipitation. However, relict non‐glacial surfaces and moraine boulders with minimal ice flow modifications yield wide age distributions, most likely suggesting denudational events (interglacials) and/or contribution from tributary valley flanks.
Meteorological regime of central Antarctica and its role in the formation of isotope composition of snow thickness

The main goals of the present study are, first, determination of the relationship between local air temperature and snow isotope composition at Vostok Station (East Antarctica) and, second, reconstruction of climatic variability in this area over the past 200 years. Experimental basis of the study includes data on isotope composition and accumulation rate of snow from 6 shallow and 2 deep snow pits dug in the Vostok's vicinities during summer seasons 1998/99, 1999/2000 and 2001/02. Meteorological regime is documented by the results of instrumental meteorological and balloon-sounding observations being carried out at Vostok since December 1957 and archived in Arctic and Antarctic Research Institute (St. Petersburg, Russia). We also used the data on snow accumulation at the stake network constructed near the station in 1970, documented spatial distribution of surface snow isotope composition and studied variations of isotope composition in precipitating and blowing snow collected from December 1999 to December 2000. By comparing meteorological and snow accumulation data, it has been established that most of precipitation in central Antarctica form under clear-sky conditions (diamond dust). Balloon-sounding data suggests that overall condensation temperature at Vostok does not significantly differ from the temperature at the top of the inversion layer. Temporal variability of isotope composition in a single point is dominated by influence of snow relief (micro-relief, "meso-dunes" and possibly mega-dunes), which substantially diminishes the signalto-noise ratio. Seasonal variations of isotope composition of the precipitation closely follow those of the local temperature, though the influence of moisture source is also evident from the intra-annual changes of deuterium excess content. Significant linear relationship is observed for the last 40 years between stacked series of snow isotope composition from pits and surface air temperature for the multi-decadal time-scale, while shorter (10-year) isotope variability is likely dominated by source conditions. During the past two centuries both snow accumulation and isotope composition of snow display oscillations with an apparent period of about 50 years. Relationship between these variations and the Pacific Decadal Oscillation index is suggested. If true, this would imply a climatic teleconnection of central East Antarctica with tropical Pacific. Finally, deuterium excess data suggest a sharp change in atmospheric circulation supplying Vostok area with moisture around 1963.
An Efficient Cooperative Routing with ML based Energy Efficiency Model for Distributed Underwater WSN Electricity Meter Warning System

Underwater wireless sensor network that operates underwater, typically in oceans, lakes, and rivers. UWSNs are composed of a large number of small sensor nodes that are equipped with various sensing and communication capabilities. These nodes are deployed in the underwater environment to collect and transmit data, which can be used for a variety of applications such as environmental monitoring, oceanography, and marine biology. The Underwater WSN (UWSN) consists of sensor nodes to sense the data and transmit it to the sink node. These sensor nodes (SN) are equipped with limited batteries, which is the central issue. Therefore, the routing protocols were developed for researchers to save energy. However, the increment of network lifetime remains an open challenge. Forwarding the data to the nearest SN to the sink will reduce the network reliability and stability, draining SN's energy early. To overcome these issues, this paper focused on developing an efficient Cooperative based routing (CR) with a machine learning (ML) model to improve the network's lifetime. The cooperative routing discovers the route path from the sender to the destination. The best possible way from the sender to the receiver has been selected using the ML approach called the Self-organizing network (SON). By identifying congestion-free multi-hop transmission using CRSON, the data packet is transmitted from sender to receiver with reduced energy, increasing the network's lifetime and reliability. This model is simulated and experimented with energy efficiency, packet delivery, loss rate, latency, and throughput metrics.
Critical perspective on consumer animosity amid Russia-Ukraine war

Purpose Consumer animosity in the wake of Russia–Ukraine war has gained significance in consumer behavior research. In this line, this study aims to examine the critical influence of consumer animosity in developing brand attitude and its ensuing outcomes – brand boycott behavior and brand-country image – the moderating role of perceived intrusiveness on the relationship between consumer animosity and brand attitude and the moderating role of altruism between brand attitude and behavioral outcomes. Design/methodology/approach Using the data obtained from 411 European consumers, data analysis was performed using structural equation modeling to examine the proposed relationships. Findings The findings revealed a strong negative influence of consumer animosity on brand attitude, which eventually leads to brand boycott behavior and a negative brand-country image. This work also confirmed the boundary condition of perceived intrusiveness on the effect of consumers’ animosity on brand attitude. Furthermore, the authors validated the moderating effects of altruistic behavior on the relationships between brand attitude and boycott behavior and brand-country image. Research limitations/implications This study offers theoretical, practical and policy implications in international marketing domain. The authors acknowledged a few shortcomings and made some recommendations for future research. Originality/value In the context of the Russian–Ukraine war, this study creates a novel conceptual framework based on consumer animosity. In the current scenario, provide critical perspective on how European customers’ animosity to Russian brands develops their adverse attitudes. This study also highlighted the alternatives to Russian brands when they were boycotted during the Russia–Ukraine war.
Adipose-Derived Mesenchymal Stem Cell (MSC) Immortalization by Modulation of hTERT and TP53 Expression Levels

Mesenchymal stem cells (MSCs) are pivotal players in tissue repair and hold great promise as cell therapeutic agents for regenerative medicine. Additionally, they play a significant role in the development of various human diseases. Studies on MSC biology have encountered a limiting property of these cells, which includes a low number of passages and a decrease in differentiation potential during in vitro culture. Although common methods of immortalization through gene manipulations of cells are well established, the resulting MSCs vary in differentiation potential compared to primary cells and eventually undergo senescence. This study aimed to immortalize primary adipose-derived MSCs by overexpressing human telomerase reverse transcriptase (hTERT) gene combined with a knockdown of TP53. The research demonstrated that immortalized MSCs maintained a stable level of differentiation into osteogenic and chondrogenic lineages during 30 passages, while also exhibiting an increase in cell proliferation rate and differentiation potential towards the adipogenic lineage. Long-term culture of immortalized cells did not alter cell morphology and self-renewal potential. Consequently, a genetically stable line of immortalized adipose-derived MSCs (iMSCs) was established.
Machine Learning Methods for Identification Osteoarthritis: A Bibliometric Analysis and General Review

This study describes machine learning trends in identifying osteoarthritis in different ways. To present visualizations, we performed bibliographic analysis using Vosviewer. Bibliographic data were collected via the Scopus database as of (2018-2023) and obtaining as many 46 journals. We found that one study identified osteoarthritis (OA) with reaching scores AUC > 0.95. In the last five years, United State and China having the highest rate of publication and index citation. The journal Arthritis and Rheumatology had the highest percentage of annual citations (89%) in 2018. Support vector machines (SVM) and LASSO regression were the most commonly used techniques by researchers.
Assessment of Potential Relationships Between Microclimate Variables Measured Within a Forest Patch and the Presence of Interior Forest Birds

ASSESSMENT OF POTENTIAL RELATIONSHIPS BETWEEN MICROCLIMATE VARIABLES MEASURED WITHIN A FOREST PATCH AND THE PRESENCE OF INTERIOR FOREST BIRDS Christopher Scott Farabaugh, PhD George Mason University, 2008 Dissertation Director: Dr. Larry L. Rockwood Research was conducted over three field seasons in isolated eastern deciduous forest patches of three different sizes (~10, ~90, and ~300 hectares) in Loudoun and Prince William Counties in Virginia, to determine if there was a relationship between microclimate variables, temperature and photosynthetically active radiation (PAR), the presence of interior forest birds, and forest patch size. The results of this study indicate that microclimate variables, temperature, and photosynthetically active radiation (PAR), generally decreased from the edge to the interior of the forest patch. The number of birds observed held fairly constant from the edge to the interior of the forest patch, while the number of species observed increased from the edge to the interior of the forest patch. The number of birds observed was significantly related to PAR in the ~10 hectare forest patch and to distance from the edge in the ~90 hectare forest patch. The number of birds observed was not significantly related to any of the variables measured in the ~300 hectare forest patch. When data from all three patches were combined, the Wood Thrush, which was the most frequently observed species, was statistically linked to distance from the forest edge with the number of Wood Thrush observed decreasing with distance from the forest edge. Overall, the number of birds seen per day per location, the number of species of birds seen per day per location, and the number of forest-interior species increased with increasing forest patch size. Policy makers should be aware of these results when determining minimum remnant patch size when allowing forest fragmentation.
Time-restricted feeding on blood pressure and blood glucose of prolanis participants at primary health care in Tuban, East Java, Indonesia

Introduction: Every year, hypertension claims the lives of over 8 million individuals globally and nearly 1.5 million in Southeast Asia.6 In addition to hypertension, chronic diseases experienced by people in Indonesia are Diabetes Mellitus. Diabetes and cardiovascular health are closely related, with diabetes patients having a higher chance of acquiring hypertension and vice versa, creating a potentially harmful synergistic interaction. Newer studies have looked into novel dietary approaches to enhance metabolic health and lower the risk of chronic illnesses. Objective: By shedding light on the intricate relationships between dietary habits, metabolic conditions, and cardiovascular outcomes, this study hopes to advance the development of more specialized and potent treatments for diabetes and hypertension. Method: A prospective cohort study was conducted on participants of PROLANIS Primary Health Care in Tuban from August – September 2023, using One Way Anova and Kruskal Wallis. Results: Mean delta BP patients who had a TRF of 12 hours 11.22±9.804, 6 – 12 hours 13.13±10.341 and did not perform TRF 7.40±8.316, p = 0.309. Mean delta blood glucose patients who had a TRF of 12 hours 14.92±10.09, 6 – 12 hours of 7.30±5.708, and who did not perform TRF of 0.20±4.894, p<0.001 Conclusion: TRF significantly lowers blood glucose in patients with diabetes mellitus, but has not had a significant effect on blood pressure in patients with hypertension.
High‐resolution, VUV (147–201 nm) photoabsorption cross sections for C2H2 at 195 and 295 K

Acetylene, C2H2, plays an important role in the photochemistry of the atmospheres of the giant planets, in part because of its strong absorption features in the 145–200 nm region where there is significant solar flux. Accurate photoabsorption cross section data at the temperatures of planetary atmospheres are required for interpretation of observations and for reliable photochemical models. We have measured the photoabsorption cross sections of acetylene at 195 and 295 K in the wavelength range 147–201 nm. (The 295 K measurements extend to 137 nm.) The high-resolution spectrometers employed had instrumental bandwidths smaller than those used in previous measurements and therefore produced cross sections that are less influenced by instrumental effects. Our results indicate that hot bands make small but significant contributions to the room temperature absorption spectrum of C2H2. Photochemical models of planetary atmospheres should employ cross sections measured at the temperatures of these atmospheres.
Gallbladder atrophy associated with pancreatitis: Clinical and advanced imaging diagnosis in a dog

Gallbladder atrophy (GBA) is characterised by a reduction in the size and volume of the gallbladder. In human medicine, it is well-established that GBA frequently occurs together with pathologies affecting the gallbladder and pancreas. However, to the best of our knowledge, there is currently a dearth of reported cases of GBA in dogs within the veterinary field. In this study, we present a case report of GBA in a 7-year-old Yorkshire Terrier. The diagnosis of GBA was confirmed using abdominal ultrasonography and advanced imaging techniques, including computed tomography, which were performed over a 4-year period. The patient initially presented with predominantly gastrointestinal symptoms, which were subsequently diagnosed and treated as pancreatitis. Concurrently, a gallbladder nodule and an anomalous structure suspected to be cholelithiasis were identified. However, during the 4-year follow-up, the gallbladder structure regressed, leaving only the presence of the gallbladder nodule. Notably, cholecystectomy was not performed, and apart from pancreatitis-related symptoms, the patient did not show any gallbladder-related problems throughout the spontaneous atrophic process. Based on these findings, we propose that the observed GBA was likely induced by cholecystitis associated with pancreatitis. This case underscores the significance of considering GBA as a potential diagnosis in canine patients presenting with pancreatitis and gastrointestinal symptoms. Furthermore, it highlights the value of comprehensive diagnostic imaging in accurately determining the underlying cause of these symptoms.
Attributes That Influence Human Decision-Making in Complex Health Services: Scoping Review

Background Humans currently dominate decision-making in both clinical health services and complex health services such as health policy and health regulation. Many assumptions inherent in health service models today are underpinned by Ramsey’s Expected Utility Theory, a prominent theory in the field of economics that is rooted in rationality. Rational, evidence-based metrics currently dominate the culture of decision-making in health policy and regulation. However, as the COVID-19 pandemic has shown, rational metrics alone may not suffice in making better policy and regulatory decisions. There are ethical and moral considerations and other complex factors that cannot be reduced to evidence-based rationality alone. Therefore, this scoping review was undertaken to identify and map the attributes that influence human decision-making in complex health services. Objective The objective is to identify and map the attributes that influence human decision-making in complex health services that have been reported in the peer-reviewed literature. Methods This scoping review was designed to answer the following research question: what attributes have been reported in the literature that influence human decision-making in complex health services? A clear, reproducible methodology is provided. It is reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) standards and a recognized framework. As the topic of interest merited broad review to scope and understand literature from a holistic viewpoint, a scoping review of literature was appropriate here. Inclusion and exclusion criteria were developed, and a database search undertaken within 4 search systems—ProQuest, Scopus, PubMed, and Web of Science. Results The results span 46 years, from 1976 to 2022. A total of 167 papers were identified. After removing duplicates, 81 papers remained. Of these, 77 papers were excluded based on the inclusion and exclusion criteria. The remaining 4 papers were found to be relevant. Citation tracking was undertaken, identifying 4 more relevant papers. Thus, a total of 8 papers were included. These papers were reviewed in detail to identify the human attributes mentioned and count the frequency of mentions. A thematic analysis was conducted to identify the themes. Conclusions The results highlight key themes that underline the complex and nuanced nature of human decision-making. The results suggest that rationality is entrenched and may influence the lexicon of our thinking about decision-making. The results also highlight the counter narrative of decision-making underpinned by uniquely human attributes. This may have ramifications for decision-making in complex health services today. The review itself takes a rational approach, and the methods used were suited to this. International Registered Report Identifier (IRRID) RR2-10.2196/42353