Miracle-dz/UniFAR-FTUs huggingface dataset:
ByeByeHIV with Thai Innovation

ByeByeHIV is defined as the condition in which HIV/AIDS-infected individuals can reduce their HIV load to undetectable levels without the consumption of antiviral drugs and enjoy healthy living. It also refers to the condition where HIV infected individuals, who have consumed antiviral drugs as the treatment but can no longer tolerate the drugs’ side effects, can stop taking the drugs and enjoy living a healthy life with undetectable HIV. ByeByeHIV innovation is composed of synergistic extracts from 5 types of edible plants, namely mangosteen, black sesame, soybean, guava and Centella asiatica. It has been proven effective in stimulating Th1 and Th17 cells, which boosts the potency of killer T cells to eliminate HIVinfected cells. It has also been proven to repair the telomere damage caused by HIV and the side effects of antiviral drugs. The innovation has successfully helped over 6,000 HIV/AIDSinfected individuals increase their CD4 count, decrease viral load, and improve their quality of life. In 2014, the first HIV-infected person volunteered to take the innovation instead of antiviral drugs. His HIV load dropped to an undetectable levels within 12 months and he remained in good health with undetectable HIV for the past 8 years. In 2022, the standard procedure to help HIV
Study of Parasitic Effects of 1st Generation in 4T Relay Design

The novel 4T Design(1), though efficient, has several parasitic effects of 1 Generation accumulated in it. These parasitic effects are discussed in this paper. After testing the prototype, it was observed that effects like body effect, drain actuation etc. are still present in the system. This paper discussed them all and provides a key to solve the issues rising from these effects.
A Service-Agnostic Software Framework for Fast and Efficient in-Kernel Network Services

This paper presents Polycube, an open-source software framework based on eBPF, that enables the creation of arbitrary and complex network function chains. Each function can include an efficient in-kernel data plane and a flexible user-space control plane with strong characteristics of isolation, persistence (e.g., across server reboots)and composability. In addition, a generic model for the control and management plane of each network function simplifies the manageability and accelerates the development of new network services. We validate the framework by creating different network services and benchmarking their performance in a complex scenario, namely a network provider for Kubernetes. Results show that Polycube programs are about 20x shorter than equivalent programs implemented with vanilla-eBPF.
ABSTRACT PAPER

Cloud computing is new trend in IT environment where it provide three type of services (SaaS, PaaS, IaaS) to the End user through internet . In IAAS model there are host, hardware, software, server, storage and many processing unit included . All these component work together and help to share data and provide its resources to end user on demand . When no of process demand for computing services at time to complete their task in the open environment so workload may increase on machine. So load balancing is main issue in the cloud environment. Existing load balancing algorithm is helped to distribute the workload across multiple nodes while workload is type of linear. But, when the workload is non-linear it becomes a challenge to distribute load. So in this paper we are applying the scheduling based load balancing approach for nonlinear workload to improve the performance of the system and better resource utilization. In this paper we focus on two load balancing factor 1) Allocation of resources, 2) Scheduling of task for effective utilization of machine. To approach this author is using cloudsim simulator to create cloud environment where author perform different task scheduling and load balancing algorithm and compare their result with his prioritize ant colony optimization algorithm . Result comparison based on two factor. 1 makes span time 2. Flow time parameter.
Adaptive Localized Cayley Parametrization for Optimization Over Stiefel Manifold and Its Convergence Rate Analysis

The Adaptive Localized Cayley Parametrization (ALCP) strategy for orthogonality constrained optimization has been proposed as a scheme to utilize Euclidean optimization algorithms on an adaptive parametrization of the Stiefel manifold via a tunable generalized left-localized Cayley parametrization. Thanks to the adaptive parametrization, the ALCP strategy enjoys stable convergence of the estimate sequence of a minimizer by avoiding a certain singular-point issue. In this paper, we present a convergence rate analysis for the ALCP strategy using Euclidean optimization algorithms such as Nesterov-type accelerated gradient methods. Numerical experiments demonstrate the effectiveness of the ALCP strategy.
Arterite jäikus ning unearteri sise- ja keskkesta paksus kui subkliinilise elundikahjustuse näitajad arteriaalse hüpertensiooni haigetel

Arteriaalne hupertensioon on maailmas surmapohjustest esikohal. Hupertensioonihaige riski maaramisel voetakse aluseks vererohu vaartused, riski tegurid, subkliinilise elundi kahjustuse ja valjakujunenud kardiovaskulaarse haiguse olemasolu. Jarjest enam tahele panu on hakatud poorama subkliinilise elundikahjustuse maaramisele, kuna varajane kardiovaskulaarhaiguste preventsioon on nendel haigetel vaga tahtis. Uudsed voimalused subkliinilise elundi kahjustuse maaramiseks on aordi pulsilaine kiiruse (pulse wave velocity, PWV) ning une arteri sise- ja keskkesta paksuse (intimamedia thickness, IMT) hindamine. Aordi PWV ja unearteri IMT ennustavad hupertensioonihaige haigestumist ning suremust sudame-veresoonkonnahaigustesse. Anti hupertensiivsel ravil on lisaks vererohku alandavale mojule sub kliinilist elundi kahjustust pidurdav toime. Selle artikli eesmargiks on anda ulevaade PWV ja IMT hindamisest kardiovaskulaarhaiguste preventsioonis. Eesti Arst 2010; 89(4):251−258
Asymmetric Exchange Rate Exposures: A Search for the Effect of Real Options

Real options like the ability to reallocate production resources can lead to an asymmetric exchange rate exposure. Using a stock market approach in which the exchange rate exposure is derived from the information content in the stock prices this study examines the extramarket exchange rate exposures of a group of blue chip, industrial companies listed on the Copenhagen Stock Exchange. In these companies the existence of real options is an integrated part of the exchange rate exposure management process. The result of the stock market approach is mixed. Statistically significant asymmetric exchange rate exposures are identified successfully but the asymmetries can only to a limited extent be explained by the existence of real options. Financial options and pricing to market are competing explanations. Omitted variable bias further blurs the picture. These problems and the concept of path dependency in real options decision analysis partly disqualifies the stock market approach as a potent vehicle for identifying asymmetric exchange rate exposures caused by real options.
COB-2023-0255 THERMAL PERFORMANCE OF MINI FLAT PLATE HEAT PIPES FOR HIGH-POWER CHIPS

The waste heat generated by the high-power chips increases their operating temperature, reducing their performance and service life. Flat plate two-phase devices are promising cooling solutions for power electronics. Among them, the thermosyphons and pulsating heat pipes, which respectively promote the fluid circulation by gravity and oscillatory motion of liquid slugs and vapor plugs, are interesting devices to be investigated, as both show excellent heat transfer capacities. In the present work, the thermal performance of a mini flat plate thermosyphon is experimentally investigated and compared with that of a pulsating heat pipe, aiming for the thermal management of waste heat produced by miniaturized high-power chips. Both two-phase devices have the same external dimensions (100 x 55 mm 2 ) and were manufactured by diffusion bonding technology. Distilled water was used as the working fluid. Tested in the same conditions, both operated successfully for the gravity-assisted mode; however, the thermosyphon, the lighter device, was able to transfer more heat. In the horizontal position, the pulsating heat pipe showed excellent thermal performance after the startup, working until high heat loads. In general, it was observed that the PHP became independent of gravity action for heat loads above 100 W.
Deep Argo Quantifies Bottom Water Warming Rates in the Southwest Pacific Basin

Data reported from mid‐2014 to late 2018 by a regional pilot array of Deep Argo floats in the Southwest Pacific Basin are used to estimate regional temperature anomalies from a long‐term climatology as well as regional trends over the 4.4 years of float data as a function of pressure. The data show warm anomalies that increase with increasing pressure from effectively 0 near 2,000 dbar to over 10 (±1) m°C by 4,800 dbar, uncertainties estimated at 5–95%. The 4.4‐year trend estimate shows warming at an average rate of 3 (±1) m°C/year from 5,000 to 5,600 dbar, in the near‐homogeneous layer of cold, dense bottom water of Antarctic origin. These results suggest acceleration of previously reported long‐term warming trends in the abyssal waters in this region. They also demonstrate the ability of Deep Argo to quantify changes in the deep ocean in near real‐time over short periods with high accuracy.
A Study on Green Cloud Computing and its Challenges

Cloud computing has emerged as an effective way to tackle the storage and processing challenges associated with large amounts of data. It offers cost-effective, fast, flexible, and scalable solutions. Despite significant advancements in cloud computing and its services, the development of environmentally-friendly "green clouds" is still in progress. This is largely due to limited research and various implementation barriers. Green clouds aim to be eco-friendly, energy-efficient, resource-efficient, low in carbon emissions, and sustainable. Cloud service providers are continually striving to meet the increasing demands of enterprise data storage and processing. To address the environmental implications associated with cloud computing, these providers are actively implementing innovative technologies such as Green Cloud Computing in their architectural designs. The goal is to minimize power consumption, water usage, reliance on physical hardware peripherals, overall infrastructure, and the release of harmful carbon emissions. In order to protect our environment, service providers must adopt and enhance their cloud infrastructure to align with green computing principles. Extensive research in this field focuses on the development of efficient cloud systems that possess green characteristics, including load balancing, virtualization, power management, computing, high performance green data centers, and promoting reusability and recyclability. This analysis report aims to provide a detailed overview of green cloud computing and its key features. It delves into the previous accomplishments in green computing, explores current trends in the field, and outlines future research challenges. This comprehensive analysis report serves as a valuable resource for aspiring green researchers, offering insights into green cloud topics and the upcoming challenges in the field.
Understanding Mercury Transport and Transformation by Computational Simulations

Many proteins use corrinoid cofactors to facilitate methyl transfer reactions. Recently, a corrinoid protein, HgcA, has been shown to be required for the production of the neurotoxin methylmercury by anaerobic bacteria. A strictly conserved Cys residue in HgcA was predicted to be a lower-axial ligand to Co(III), which has never been observed in a corrinoid protein. Here, we use density functional theory to study homolytic and heterolytic Co-C bond dissociation and methyl transfer to Hg(II) substrates with model methylcobalamin complexes containing a loweraxial Cys or His ligand to cobalt, the latter of which is commonly found in other corrinoid proteins. We find that Cys thiolate coordination to Co facilitates both methyl radical and methyl carbanion transfer to Hg(II) substrates, but carbanion transfer is more favorable overall in the condensed phase. Thus, our findings are consistent with HgcA representing a new class of corrinoid protein capable of transferring methyl groups to electrophilic substrates.
Studying the Situation and Needs of Parents with Children with Autism Spectrum Disorders in Mongolia

The article presents on studying the situation and needs of parents with children with Autism Spectrum Disorders (ASD) in Mongolia. According to the World Health Organization, one in every 100 children has an autism spectrum disorder in the world [1]. In Mongolia, there is a lack of knowledge, statistics, and experience in the areas of diagnosis, educational assessment, education, and support for children with ASD. Also in Mongolia, it is believed that the number of children with ASD is greatly increasing every year. For example, in 2022, a maximum of 702 children with ASD were registered. As a result of these statistics, there may be a need to reconsider the diagnosis and assessment of ASD in Mongolia. Because autistic disorder, its diagnosis and assessment were first translated from a foreign language and developed in Mongolia only in 2006 [2]. In connection with this condition, there is an urgent need for early diagnosis of children with autism spectrum disorders, the development of early support programs, the inclusion of children in these programs, and the appropriate support for their parents and families. Therefore, we conducted this study to clarify the concerns and needs of parents of children with autism in the current situation in Mongolia.
Molecular detection and characterisation of potentially zoonotic bacteria in bathyergids from the Western Cape Province

Global reports of emergent pathogens in humans have intensified efforts to identify wildlife reservoirs. Subterranean mammals, such as bathyergid mole-rats, are largely overlooked, despite their high-level exposure to soil-dwelling microbes. In assessing bathyergid reservoir potential, we targeted the Bacillus cereus complex, a ubiquitous bacterial assemblage, comprising species with pathogenic and zoonotic potential. Microbe-bathyergid interactions were evaluated by sampling 234 bathyergids across a range of human-transformed landscapes in the Western Cape Province of South Africa. Four bathyergid species were screened for Bacillus genome presence using seven published and two novel PCR assays targeting four gene regions. Nucleotide sequencing confirmed the presence of two discrete B. cereus complex lineages. Overall Bacillus presence was 17.95%, ranging from 0% for Georychus capensis to 45.35% for Bathyergus suillus. Bacillus occurrence differed significantly between host species (χ2 = 69.643; df = 3; p < 0.05) and between sampling locality type (χ2 = 70.245; df = 3; p < 0.05), being significantly higher in bathyergids sampled from the peri-urban locality. The results highlight the sentinel potential of soil-dwelling mammals occurring in close proximity to informal human settlements and stress the importance of monitoring anthropogenically-introduced, opportunistic pathogens and the threats they pose to vulnerable communities, particularly in the developing world.
What is Diminished Virtuality? A Directional and Layer-Based Taxonomy for the Reality-Virtuality Continuum

The concept of reality-virtuality (RV) continuum was introduced by Paul Milgram and Fumio Kishino in 1994. It describes a spectrum that ranges from a purely physical reality (the real world) to a purely virtual reality (a completely computer-generated environment), with various degrees of mixed reality in between. This continuum is “realized” by different types of displays to encompass different levels of immersion and interaction, allowing for the classification of different types of environments and experiences. What is often overlooked in this concept is the act of diminishing real objects (or persons, animals, etc) from the reality, that is, a diminution, rather than augmenting it, that is, an augmentation. Hence, we want to propose in this contribution an update or modification of the RV continuum where the diminished reality aspect is more prominent. We hope this will help users, especially those who are new to the field, to get a better understanding of the entire extended reality (XR) topic, as well as assist in the decision-making for hardware (devices) and software or algorithms that are needed for new diminished reality applications. However, we also propose another, more sophisticated directional and layer-based taxonomy for the RV continuum that we believe goes beyond the mediated and multimediated realities. Furthermore, we initiate the question of whether the RV continuum truly ends on one side with physical reality.
A Channel Estimation Scheme for Analog Network Coding based on OFDM in a Multipath Fading Environment

The capacity of future wireless networks must be increased to accommodate more demanding wireless devices and applications. Network coding at the physical layer, although originally applied in wired networks, can be used to exploit the broadcasting capability of the wireless channel to increase network capacity. A wireless channel is characterized by multipath fading which produces interference and distorts the transmitted signal. Recently, broadband analog network coding (ANC) was proposed to cope with multipath fading assuming full knowledge of the channel state information (CSI). However, broadband ANC requires accurate channel estimation (CE) for self-information removal and signal recovery. In this thesis, we propose a two-stage pilot-assisted CE scheme for broadband ANC based on orthogonal frequency division multiplexing (OFDM) radio access. The proposed CE scheme is divided into two stages. During the first stage the users transmit their pilot signals to the relay which estimates the both CSIs from the interfered signal, and during the second stage the relay broadcast its pilot signal to the users which estimates the corresponding CSI. The CE at the relay during the first stage is possible because the pilot signals transmitted by the users are designed to avoid pilot interference and consequently, allow the relay to estimate the CSIs from both users. It was shown by computer simulation that, even with imperfect CSI, the bit-error-rate performance of broadband ANC gives a satisfactory performance for a low and moderate mobile terminal speed in a multipath fading channel.
Host-Guest Attitudes toward Socio-Cultural Carrying Capacity of Urban Tourism in Chalus, Mazandaran

Cities have plentiful of tourism attraction and they always attract many tourists. Therefore, sustainable urban tourism development and its wise management require planning. In this research, the most important goal is to assess and enhance Chalus tourism carrying capacity toward sustainable development of urban tourism. This survey is a developing kind and its method is quantitative and analytical. In this survey, Chalus city has been selected not only because of having many attractions and its importance in national and international levels but also because of its multiple roles. The time domain has been 2016. The results show that caring capacity and tourism quality of the city is much more than what is now although, tourism facilities and infrastructure of the destination is still in the progress and negative socio - cultural effects of the destination is gradually perceived by the tourists and number of tourists is more than capacity. Totally, it can be concluded that Due to the volume of tourists being more than physical capacity of tourism in this destination, local community have felt negative sense of tourism impact on cultural and social dimensions. On the other hand, the quality of the tourism experience in Chalus is declining and only natural attractions of this city is attracting tourists to the destination and proper facilities tourism could not have played appropriate role in this regard.
Roads as drivers of above‐ground biomass loss at tropical forest edges in Xishuangbanna, Southwest China

Roads are an increasingly important anthropogenic disturbance to tropical ecological systems. Although the ecological impacts of roads are now well recognised, there remains a lack of certainty regarding how roads in general and roads with different widths affect vital ecosystem services such as above‐ground biomass (AGB) in tropics. Using a non‐destructive sampling method, we investigated disturbance effects of roads on AGB and related attributes in Xishuangbanna, China. We surveyed woody plants in natural forests, rubber plantations, and tea plantations up to 100 m from the edge of three different road widths and estimated AGB using allometric equations at 10 m intervals. Two sample t‐test results confirmed that natural forests stored more AGB than rubber and tea plantations, and less AGB at edges of wider road than at edges of narrower road. Linear mixed effects models revealed that land use, road width, and distance from edge significantly explained 68% (both fixed and random factors) variation in AGB. We observed two results that indicated wider roads altered more AGB than narrower road types in natural forests. First, AGB declined at road edges; second, the disturbance effects on AGB by wider road types went deeper than narrower roads did in natural forests. Our results suggest that both widening the existing roads and construction of new roads will degrade ecosystem productivity. We recommend that impacts assessments of roads on AGB should be considered and taken serious while planning and designing roads to avoid serious damages to many ecosystem services that AGB provides.
A 1.3 GHz fifth generation SPARC64 microprocessor

A fifth generation SPARC64 processor implemented in 130 nm CMOS process with 8 layers of Cu metallization operates with a 1.3 GHz clock and dissipates 34.7 W. The processor is a 4-issue out-of-order design with 2 MB on-chip level-2 cache. Error checking is added on the data-path in addition to memory. An instruction is retried for correction when an error is detected in the datapath.
Motion driven tonal stabilization

In this work, we present a fast and parametric method to achieve tonal stabilization in videos containing color fluctuations. Our main contribution is to compensate tonal instabilities with a color transformation guided by dominant motion estimated between temporally distant frames. Furthermore, we propose a temporal weighting scheme, where the intensity of tonal stabilization is directly guided by the motion speed. Experiments show that the proposed method compares favorably with the state-of-the-art in terms of accuracy and computational complexity.