Miracle-dz/UniFAR-FTUs huggingface dataset:
Origin of the Bunun Indigenous People of Taiwan, a Review of Published Material Using Y-Chromosome and Mitochondrial DNA Gene Systems

Anthropological and linguistic studies place the first settlement of Austronesian speaking Taiwanese (AN_Tw) in the mid-Holocene era. However, geneticists have revealed exclusive diversity among the Bunun indigenous people, implying that their ancestral origin needs further study. The mitochondrial DNA (mtDNA) polymorphism of the Bunun shows a homogeneous relationship with other AN_Tw. However, the Y-chromosome polymorphism shows two major haplogroups, O1a2-M50 (60.7%), also seen to a lesser extent among the Northern AN_Tw, and O1b1a1a1a1a1-M88 (37.5%), scarce among all other AN and non-AN groups in Taiwan, but prevailing in Southeast Asia (SEA) and Mainland Southeast Asia (MSEA). While the present-day mtDNA profile of the Bunun typifies the long-term demographic standard for all AN_Tw since the Neolithic era, their Y-chromosome profile suggests an arrival of male settlers in the last two to three millennia from SEA or MSEA, who mixed exclusively with the Bunun indigenous people.
Increasing intensity and frequency of cold fronts contributed to Australia’s 2019–2020 Black Summer fire disaster

Human-caused climate changes are increasing the risk of dangerous wildfires in many regions of the world. There are multiple, compounding aspects of climate change that are increasing fire risk, including large-scale climate changes driving hotter and drier conditions that are generally well observed and predicted. However, changes in synoptic-scale processes that can exacerbate dangerous fire weather and promote extreme pyroconvective events are often not well known in historical observations and are poorly represented in climate models, making it difficult to fully quantify and anticipate changing fire risk. In this study, we statistically test the association between synoptic-scale cold front passage and large fires in southeast Australia during Australia’s 2019–2020 ‘Black Summer’ fire disaster, and analyse daily gridded temperature data to detect long-term changes in the intensity and frequency of strong cold fronts over southeast Australia. We demonstrate that the passage of cold fronts over southeast Australia significantly increased the likelihood of large fire days during the entire Black Summer fire season. Additionally, the intensity and frequency of strong cold front events were anomalously high during the Black Summer, and this is part of a long-term significant increase in the intensity and frequency of strong cold fronts since the 1950s. These changes in fire-promoting cold front activity are expected to imminently emerge above the range of historical experience across large areas of southeast Australia if current trends continue. Our results provide new insights into a previously poorly constrained contributor to fire risk in southeast Australia, highlighting the potential of synoptic-scale weather changes to compound previously documented broad-scale climate changes in intensifying future forest fire risk.
Microbial Lipases and Their Potential in the Production of Pharmaceutical Building Blocks

Processes involving lipases in obtaining active pharmaceutical ingredients (APIs) are crucial to increase the sustainability of the industry. Despite their lower production cost, microbial lipases are striking for their versatile catalyzing reactions beyond their physiological role. In the context of taking advantage of microbial lipases in reactions for the synthesis of API building blocks, this review focuses on: (i) the structural origins of the catalytic properties of microbial lipases, including the results of techniques such as single particle monitoring (SPT) and the description of its selectivity beyond the Kazlauskas rule as the “Mirror-Image Packing” or the “Key Region(s) rule influencing enantioselectivity” (KRIE); (ii) immobilization methods given the conferred operative advantages in industrial applications and their modulating capacity of lipase properties; and (iii) a comprehensive description of microbial lipases use as a conventional or promiscuous catalyst in key reactions in the organic synthesis (Knoevenagel condensation, Morita–Baylis–Hillman (MBH) reactions, Markovnikov additions, Baeyer–Villiger oxidation, racemization, among others). Finally, this review will also focus on a research perspective necessary to increase microbial lipases application development towards a greener industry.
Sectoral wage share and its decomposition in China

ABSTRACT This paper investigates sectoral contributions to the trend of national wage share, or the labor income share, during 2000–2014 in China. I apply the logarithmic mean Divisia index (LMDI) decomposition, the method widely used in energy studies, to decompose the trend of the wage share. At a sectoral level, with rapid structural transformation, structural change negatively impacted the wage share through the between-sector effect – the structural and price effects – mainly from agriculture. This result confirms Arthur Lewis’s hypothesis that structural transformation has a negative contribution to the wage share. At a national level, when the wage share declined before 2008, the between-sector effect was as significant as the within-sector effect – the wage and productivity effects. After 2008, the within-sector effect directed the increasing wage share trend. This implies that although structural transformation matters to the wage share in a large developing country like China, a wage-productivity nexus has been more influential and determined the increasing trend of the wage share since 2008.
Teleworking: The Link between Worker, Family and Company

Telework is presented as a model of work organisation that changes the paradigms of business culture in many organisations, reshaping established management and social systems. The COVID-19 pandemic and the restrictions applied to the mobility and concentration of people have accelerated the implementation of telework, generating an accelerated change in organisational models. Telework dynamics significantly transform many aspects of the business, social and personal environment. The research community has investigated: work performance; the environment; technology; social factors; and work–life balance, among other issues. However, it is necessary to know in greater depth what the most salient aspects related to telework are. To this end, a total of 539 publications from the Web of Science database between 1984 and 2021 were analysed using bibliometric techniques. The results obtained indicate an outstanding interest in this subject in the last two years. The research comes from many different areas of knowledge and mainly focused on issues related to worker–employer–family conflict, work–life balance and flexibility policies. There has been remarkable growth and dispersion in telework research, where, in addition to productivity-based approaches, the field of study has opened up to other issues such as worker health and satisfaction, professional isolation, the role of supervisors or the gender perspective, among others. The contribution of this research is broadening knowledge about the dynamics of telework in organisations and the issues that have been the most considered by the scientific community, so that it can serve as a point of support for future research.
Energy-Efficient OFDM Radio Resource Allocation Optimization With Computational Awareness: A Survey

In this paper, we review radio resource optimization methods for energy-efficient wireless communication in links and networks using the Orthogonal Frequency Division Multiplexing (OFDM) and Orthogonal Frequency Division Multiple Access (OFDMA) techniques. We first consider the energy-efficiency metrics and optimization goals. We discuss the increasingly complex systems, starting from (i) a single OFDM link, (ii) an OFDMA single-hop network to (iii) multi-hop relay OFDMA interference networks. In each case, we elaborate on the transmission rate estimation, power consumption modelling, existing optimization constraints and the optimization solutions. Specifically, in the power-consumption modelling, we include the signal-processing (and related computing) power. We discuss the practicality of the considered solutions. We also touch upon the problem of nonlinear power amplifier characteristics (causing distortions typical for OFDM signals) to be taken into account for energy-efficient resource allocation. We discuss trade-offs and provide recommendations for future energy-efficient OFDM networks design. We also discuss the future works and challenges in the context of energy efficiency resource allocation for OFDM/OFDMA and their derivative techniques. We conclude that the presented design practices should include computational awareness in the networks to trade-off between information communication, information processing and the required network management energy-efficiency.
COVID-19 VACCINE HESITANCY; ESTABLISHING A BASE LINE TO ACCELERATE VACCINE UPTAKE AND RESTORE NORMAL LIFE IN BENI-SUEF CITY, EGYPT

Background: COVID-19 vaccine hesitancy is a great challenge to control the current pandemic. Aim: Study aims to study COVID-19 vaccine hesitancy; establishing a base line to accelerate vaccine uptake and restore normal life in Beni-Suef City. Subjects and method: Design: Cross-sectional design was used. Setting: The current study was performed in Beni-Suef city. Subjects: A convenient sample consists of 800 participants was chosen. Tools: The first was structured interview composed of 6 parts o assess, personal data, medical history, barriers, suggestions, willing to take the vaccine and knowledge about COVID-19 vaccine. The second was attitude scale used to assess the attitude regarding COVID-19 vaccine. Results: The data showed that friends were the main source of information for 38.7% of the studied sample while health team was the main source for only 8.7% of the studied sample. Only 31% have satisfactory knowledge, 67% have negative attitude regarding the vaccines. 73.1% not willing to take the vaccine. Conclusion: The current study concluded that the total level of knowledge, attitude and willing to take the vaccine is low among the studied sample. Additionally the total level of knowledge, total level of attitude, medical history of chronic diseases age, education and residence were significantly associated with the willing of studied sample to take the vaccine. Recommendations: Nursing staff and health team members should be involved in health education programs via mass media and via personal communications. Further studies aimed at improving population awareness and attitudes regarding COVID-19 vaccines.
5 Aging in Domain Growth

The Chapter is devoted to reviewing the main features of aging in non disordered systems relaxing via domain growth, after an istantaneous temperature quench. Using the autocorrelation and autoresponse functions to gauge the deviation from equilibrium, an hierarchy of processes is obtained by changing the temperature of the quench and the space dimensionality. The special role of the lower critical dimensionality is highlighted. Basic properties like the separation of the time scales and the splitting of degrees of freedom into fast and slow variables are treated in detail, both in general terms and through analytical calculations in solvable models. Though domain growth is believed to be a well understood paradigma of slow relaxation, emphasis of this review is on the non trivial aspects, not yet fully clarified, like the response function scaling behavior.
A Context-Aware Blockchain-Based Crowdsourcing Framework: Open Challenges and Opportunities

Crowdsourcing is a rapidly growing paradigm that commercial platforms such as Amazon MTurk and UpWork are adopting for allocating tasks to workers. Such frameworks typically employ a centralized infrastructure to implement required mechanisms such as task allocation, submission evaluation, and payment computation. However, centralized deployment comes with unresolved challenges in terms of trust, reliability, and transparency. Blockchain technology has been embraced for the deployment of crowdsourcing frameworks to enable trusted and autonomous execution. Each of the existing Blockchain-based crowdsourcing/ crowdsensing framework targets a specific application context due to the constraint capabilities of Blockchain. In this paper, we propose a context-aware Blockchain-based crowdsourcing framework where the context is defined by task requirements and workers’ availability. The proposed framework is developed upon the review of existing works integrating Blockchain and crowdsourcing where the challenges and future directions are identified. The proposed framework has two classes of components: 1) core components implementing the basic framework functionalities, and 2) advanced components which are context and data managers that help improve the framework performance. The Advanced Context Manager is designed to monitor the current context and select the mechanisms to run for the core components accordingly. The core components are implemented as smart contracts on Blockchain for autonomous and trusted execution, while the advanced components are implemented spanning Blockchain and the cloud for flexibility and scalability. A case study demonstrating the performance of context-aware task allocation algorithms is presented. It shows how capturing the current system context can help achieve better overall performance based on the objective of the sensing application under consideration.
An Experimental and Numerical Study of Damage Due to Particle Impact on Sapphire Orifices Used in High-Pressure Water Jet Cutting

In the present study, the damage mechanisms that cause premature failure of sapphire water jet orifices were analyzed using a combined experimental and finite element modeling (FEM) approach. Depending on the operating behavior and local conditions, the service life of orifices for high-pressure water jet cutting often deviates considerably from the manufacturer’s specifications. Literature states a typical service life of 50 to 100 h, while in some cases, premature failure after a few hours or even minutes of operation can be observed. The focus of this paper is on the interaction of particles that impact the orifice surface but also the effect of faulty orifice assembly is taken into account. To estimate the risk of failure, the stress distribution in critical parts of the orifice were calculated via FEM, which is fed with experimental data. The modified Mohr failure criterion was then used to evaluate the stress distributions with respect to the possible failure of the orifice jewel. The results revealed that the risk of damage caused by excessive assembly preload forces is marginal. The stress caused by the impact of particles of different sizes is up to four orders of magnitude higher than the stress caused by assembly forces and is therefore identified as the main risk for orifices to fail prematurely. Experimental data shows mainly particles of calcium carbonate and iron–aluminum silicates, which are compounds that originate from the process water itself. It is demonstrated that particles are more critical than formerly assumed in the literature. This paper identifies particles with a diameter of more than 10 µm as critical when there are no other loads present. In operation, even particles as small as 2 µm in diameter can cause damage to the orifice jewel. To prevent premature orifice failure due to foreign particles, water filtration with a 2 µm mesh is recommended, while future research needs to focus on the interior cutting head design to prevent precipitation from the process water.
Government through clanship: Governing Ethiopia’s Somali pastoralists through a community-based social protection programme

Drawing on an analysis of the implementation of Ethiopia’s Productive Safety Net Programme (PSNP) in the Somali periphery, we consider how the programme is promoted as an ‘innovative’ social protection programme that links food security with development projects. Underpinning its ‘innovative’ role is a community-based approach, focusing upon the institutions, values and capacities of a community. Taking the case of the nomadic pastoralists in Ethiopia’s Somali region, we consider the role of clans as the ‘dominant’ grassroot socio-political organizations. Our analysis, drawing on ethnographic fieldwork shows how in the implementation of PSNP the mobilization and (re)deployment of clanship values and rules create legible and governable Somali pastoral subjects. This is in line with the Ethiopian state’s conception of ‘improvement’ and ‘modern’ way of life based on sedentary-based development and governance. We illustrate how clan leaders unwittingly (re)organize their clan (leadership) values and capacities to support this project. We argue that clan-based implementation of PSNP has become an ‘effective’ mechanism of extending state power and governing nomadic pastoralists, leading to changes in relations of authority and in forms of (inter)subjectivity between pastoralists, their clan (leaders) and the state. Towards this end, we put forward the concept of ‘government through clanship’ to reflect the assemblage of these practices, processes and changes which would offer critical analytical insights into social policies claimed to be community-based.
Side-Channel Expectation-Maximization Attacks

Block ciphers are protected against side-channel attacks by masking. On one hand, when the leakage model is unknown, second-order correlation attacks are typically used. On the other hand, when the leakage model can be profiled, template attacks are prescribed. But what if the profiled model does not exactly match that of the attacked device? One solution consists in regressing on-the-fly the scaling parameters from the model. In this paper, we leverage an Expectation-Maximization (EM) algorithm to implement such an attack. The resulting unprofiled EM attack, termed U-EM, is shown to be both efficient (in terms of number of traces) and effective (computationally speaking). Based on synthetic and real traces, we introduce variants of our U-EM attack to optimize its performance, depending on trade-offs between model complexity and epistemic noise. We show that the approach is flexible, in that it can easily be adapted to refinements such as different points of interest and number of parameters in the leakage model.
Performance Enhancement of Fog Environment with Deadline Aware Resource Allocation Algorithm

— Fog computing is a new computing paradigm that has been proposed to extend cloud computing services to the edges of cloud computing networks. Minimizing the total completion time of an application without violating user-defined deadline is one of the most important problems that are related to task scheduling in fog environments. In this paper, we have proposed a new algorithm called Deadline Aware Resource Allocation (DARA) algorithm. The main contribution of this algorithm is to enhance the performance of fog environment by allocating resources in an efficient manner under deadline constraint. The algorithm is compared with Dynamic Resource Allocation Method (DRAM) algorithm. Simulation results proved that our proposed algorithm provides better performance in terms of makespan, total cost, and resource utilization.
Detection of DNA damage by SCD and Rate of Apoptosis DNA by Gel Electrophoresis among infertile males

: Background: DNA damage as Fragmentation has adverse effects on fertilization and embryo development, so it is one of the main causes of a male factor for infertility. Several techniques have been mentioned to elevation this damage. In our study, we determine DNA damage in human spermatozoa by sperm chromatin dispersion (SCD) method and Apoptosis of DNA in human spermatozoa by Optical density in gel electrophoresis in male infertility. Objects and Methods: Semen samples were collected from 100 men and were analyzed by standard light microscopic according to the World Organization (5 th edition) for diagnostic fertility. Furthermore, Sperm DNA damage was determined by using Halosperm Kit, then assessment apoptosis by optical density in Gel Electrophoresis. Results : The mean value of DNA by SCD method in infertile males increased with a value of 47.95±10.96 % when compared with the control value of 21.2 ±2.64 % with (p< 0.00001). On the other hand, the mean value of DNA by measurement of Optical density in Gel Electrophoresis in infertile males decreased with a value of 120.27±18.73 when compare with the control value of 144.4±45 with (p =0.833). Conclusion: by SCD method and other methods for detection of DNA apoptosis by gel electrophoresis addition to routine semen analysis play important role in the diagnosis and management of male infertility.
The Role of Regorafenib in the Management of Advanced Gastrointestinal Stromal Tumors: A Systematic Review

Regorafenib, a multi-kinase inhibitor, has been widely used to treat patients with gastrointestinal stromal tumors (GIST) who failed the initial treatment with imatinib and sunitinib. This systematic review aims to demonstrate the efficacy and safety of regorafenib for patients with metastatic and/or unresectable GIST. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to perform this systematic review. We searched PubMed, Science Direct, and Cochrane databases to identify relevant articles based on predefined selection criteria. The implication of the search strategy results in 776 records from all databases. We excluded conference abstracts, discussion articles, case reports, case series, systematic reviews, and other observational non-intervention studies from the study, along with the articles published in languages other than English. After the screening and quality assessment, 10 studies were selected for final review - two randomized controlled trials and eight non-randomized prospective and retrospective review articles of intervention. Regorafenib improved the survival rates of patients after the failure of imatinib and sunitinib treatment, with an acceptable safety profile. Close monitoring of the patients may be needed to detect and manage the grade 4 or higher adverse events.
A Sustainable Approach for the Development of Innovative Products from Fruit and Vegetable By-Products

The waste generated by small-scale ultra-fresh juice producers, such as bistros and restaurants, has been little studied so far, mainly because it is unevenly distributed and dissipated in the economic ecosystem and would require high costs associated with transportation and subsequent recovery of bio composites. The present article seeks to offer solutions by providing sustainable methods to reduce their waste losses to a minimum and transform them into valuable products, with affordable equipment and techniques. The study focuses on the preliminary phase of quantitative analysis of fruit and vegetable by-products generated on a small scale, the results showing a mean 55% productivity in fresh juices. Due to the high amount of remnant water content in waste, a new process of mechanically pressing the resulting squeezed pulp was introduced, generating an additional yield in juice, ranging from 3.98 to 51.4%. Due to the rising trend in healthier lifestyle, the by-products were frozen or airdried for conservation in each of the processing stages, and the total phenolic compounds and antioxidant activity were analyzed in order to assess the traceability of these bioactive compounds to help maximize their transfer into future final products. The polyphenols transferred into by-products varied between 7 and 23% in pulps and between 6 and 20% in flours. The highest DPPH potential was found in flours, up to three-fold in comparison with the raw material, but the high dry substance content must be accounted for. The results highlight the potential of reusing the processing waste as a reliable source of bioactive compounds.