Hasil untuk "Modern"

Hind Waleed Farhan, Khalid Akbar Abdullah

Aims: This current study aimed to analyze the demographic characteristics of ‎the agricultural workforce and demonstrate the impact of these characteristics ‎on agricultural activity in terms of production and diversity. It also aimed to ‎clarify the population distribution of the workforce according to demographic ‎and economic indicators, and finally to evaluate its relationship with ‎agricultural activities. Methodology: A descriptive and analytical approach was ‎adopted, relying on statistical data available from official and field sources. The ‎study also tried to determine the size of the workforce and its geographical, age, ‎educational distribution, and analyze the extent of its contribution to ‎agricultural activity. The correlation coefficient was used to measure the ‎relationship between labor force characteristics and agricultural production ‎indicators in the studied areas. Results: After analyzing all the gathered data, ‎the results showed a positive correlation between the density of the agricultural ‎workforce and the level of agricultural production in most of the studied areas, ‎especially in areas with adequate infrastructure and agricultural services. It also ‎showed that the productive age group of the workforce represents the highest ‎percentage of those employed in this sector, in addition to the concentration of ‎workers with limited education in traditional agricultural activities, which limits ‎the expansion of modern methods. Conclusions: It can be concluded that ‎workforce represents one of the fundamental pillars of agricultural sector ‎development, and that improving its demographic and educational characteristics ‎would contribute to increasing agricultural production efficiency significantly. The ‎study emphasized the importance of supporting agricultural training programs and ‎developing workers' skills in order to achieve optimal use of human resources in this ‎vital sector.‎

Clare Wilde

The first monographic exhibition dedicated to Vittore Carpaccio (ca. 1460–1525) in the US, and the first outside of Italy, was hosted at the National Gallery of Art in Washington, DC, from 20 Nov 2022 to 23 February 2023 (from where it went to Venice). Building on the research of art historians and experts on Venice and the larger Mediterranean region in the early modern period, this paper examines Carpaccio’s depiction of various “Turks” in some of the large narrative painting cycles (<i>teleri</i>) commissioned by the devotional confraternities (<i>scuole</i>) in Renaissance Venice. While Carpaccio’s and the larger Venetian familiarity with Islam, including Turks, has been studied, this paper compares various female figures in the St. Stephen cycle with those in his St. George cycle, situating them in the larger historical context of the commissioning <i>scuole</i> (Scuola di Santo Stefano and Scuola di San Giorgio degli Schiavoni, respectively). While attempting to uncover the significance, if not the identities, of a few individuals who stand out from the crowd, this paper urges caution when attempting to discern social history from a painting, much as we take literary texts (particularly those written well before our own times) with a grain of salt.

Kenneth S. Tramm, Jason T. Minter, Catherine A. Seaton

Abstract Risk‐based corrective action (RBCA) programs employ conservative models to develop default values for soil screening, which simplify the risk assessment process. However, for several naturally occurring metals (e.g., arsenic and lead), these published screening values are often unrealistic and well below the documented background levels in soil. This can lead to confusion among the regulated community and inexperienced regulators, as it will inappropriately identify naturally occurring conditions as a release (false positive or Type I error). An effective RBCA program requires the incorporation of defensible background threshold values (BTVs) in the screening process. Recent datasets and BTV development methods are available to enhance existing RBCA programs and reduce the occurrence of Type I errors. This review evaluated the role “background” currently plays in the Texas Risk Reduction Program (TRRP) and offers defensible approaches in minimizing Type I errors estimated by one Texas municipality to directly result in an unnecessary expenditure of over $250,000 annually to address this confusion in the form of additional assessment, remediation, soil management, and even disposal requirements. The same BTV development process demonstrated in this Texas case study can also inform risk assessment efforts in other areas where BTVs can supplement existing RBCA programs.

Abubakar Salihu, Muhammad Mukhtar Aliyu, Nur Fadillah Nurchalis

Artificial intelligence (AI) has a profound influence on various facets of modern-day society, notably within the realm of education. Its application in educational settings is extensive, primarily aimed at improving the methods of instruction and knowledge acquisition. Thus, this research investigates the impact of AI tools (ChatGPT, Google Bard) on the creative writing skills of Nigerian undergraduates using a pretest-posttest quasi-experimental research design. Eighty (80) third-year undergraduates participated in the study. Data were collected using pretest-posttest writing tasks. The writing scripts were graded using creative writing assessment rubrics. Paired sample t-test analysis was conducted to compare the pretest-posttest writing scores using SPSS. The results of the analysis showed a significant improvement in the participants’ overall writing scores after using the AI tools. The results also show significant improvement in all the aspects of creative writing: image, voice, characterization and story. Finally, the study makes some recommendations for practice and further studies.  

Graziano Domenico Luigi Crudele, Alberto Amadasi, Lorenzo Franceschetti et al.

Background: In forensic pathology, asphyxia presents a problem as frequently as it is thorny and challenging. Some knowledge in forensic pathology is still considered to be traditionally acquired and is not critically assessed with modern statistical or technical tools. In this study, we seek to examine the injuries that are considered to be typical of cases of hanging (neck lesions, haemorrhages, and pleural and epicardial petechiae). Methods: We evaluated whether there was, indeed, a statistically significant association between these injuries and deaths from hanging as compared to non-hanging deaths. We collected 399 cases (32 deaths by hanging and 367 cases of non-hangings), built contingency tables and performed chi-square tests for each variable (lesion) examined; we also analysed this association in various subgroups of the sample (according to sex, age and weight ranges). Results: Our results did not deviate from the expected outcome based on traditional knowledge, although they do provide a more detailed demonstration and clarification of traditional knowledge regarding this topic. Conclusions: These findings provide valuable insights for future discussion, examination and deepening of knowledge that is traditionally accepted but often undersupported in the literature.

Supriya Manna, Niladri Sett

Modern Education is not \textit{Modern} without AI. However, AI's complex nature makes understanding and fixing problems challenging. Research worldwide shows that a parent's income greatly influences a child's education. This led us to explore how AI, especially complex models, makes important decisions using Explainable AI tools. Our research uncovered many complexities linked to parental income and offered reasonable explanations for these decisions. However, we also found biases in AI that go against what we want from AI in education: clear transparency and equal access for everyone. These biases can impact families and children's schooling, highlighting the need for better AI solutions that offer fair opportunities to all. This chapter tries to shed light on the complex ways AI operates, especially concerning biases. These are the foundational steps towards better educational policies, which include using AI in ways that are more reliable, accountable, and beneficial for everyone involved.

Animesh Kumar

The world has witnessed rapid technological transformation, past couple of decades and with Advent of Cloud computing the landscape evolved exponentially leading to efficient and scalable application development. Now, the past couple of years the digital ecosystem has brought in numerous innovations with integration of Artificial Intelligence commonly known as AI. This paper explores how AI and cloud computing intersect to deliver transformative capabilities for modernizing applications by providing services and infrastructure. Harnessing the combined potential of both AI & Cloud technologies, technology providers can now exploit intelligent resource management, predictive analytics, automated deployment & scaling with enhanced security leading to offering innovative solutions to their customers. Furthermore, by leveraging such technologies of cloud & AI businesses can reap rich rewards in the form of reducing operational costs and improving service delivery. This paper further addresses challenges associated such as data privacy concerns and how it can be mitigated with robust AI governance frameworks.

A. V. Zamkovaya

Modern technology is expanding the possibilities of classes and determining the need for new forms of learning. The study of multimedia technology is currently developing in an academic way. Visuals in general play a huge, sometimes decisive role in digital communication. The article is devoted to the usage of video materials in the foreign language classes, the author considers the methods of video resources usage in the process of teaching foreign languages, aimed at forming communicative competence of the students. The author analyses psycho-didactic possibilities of audiovisual teaching materials. Particular attention is paid to the peculiarities of clip thinking, the level of visual literacy and the typology of video resources for teaching foreign languages. The aim of the article is to develop a methodology of applying teaching and authentic video resources in the process of foreign language teaching aimed at forming audiovisual literacy and communicative competence of students. The author concludes that the rational use of video materials and video resources contributes to a deeper involvement of students in learning a foreign language, stimulates the development of creative thinking, social skills, contributes to the mastery of knowledge, skills and abilities of understanding, speaking and writing.

Pavel Kepezhinskas, Nikolai Berdnikov, Nikita Kepezhinskas et al.

The Paleozoic volcano-sedimentary rocks within the structural basement of the horst-and-graben system of the Catalan Coastal Ranges (CCR) are composed of black shale, volcaniclastic sediments, lava flows, sills and lithocrystalloclastic tuffs. Paleozoic sediments are depleted in high-field strength elements (HFSE) such as Nb, Ta, Zr, Hf and Ti, suggesting their accumulation within the Andean-type active continental margin environment. Volcanic rocks within the Paleozoic CCR sequence belong to shoshonitic and high-K volcanic series and are enriched in Cs, Rb and Ba and depleted in HFSE, which is consistent with their derivation from metasomatized (possibly through deep recycling of pelagic sediments) subduction-related mantle source. The presence of sills (sill-sediment complex) suggests that Paleozoic basement of the CCR was formed within the rifted active continental margin or an arc-back-arc basin system akin to the modern Western Pacific subduction configuration. This complex volcanic terroir hosts world-class wines of the Priorat DOQ region. The presence of framboidal pyrite and magnetite, siderite, sphalerite xenotime, (La–Ce–Nd)-monazite, zircon and baddeleyite, as well as cuprite, tenorite and cupriferous and native silver in volcanic-derived black shale (and consequently in the world-famous “llicorella” soil overlying it) may have had dramatic effects on wine quality and sensory characteristics. These mineral features, together with strong enrichment of Priorat shale in Au, Ag and, to a lesser extent, Pt could have pronounced effects on (1) rates and specific types of chemical reactions; (2) plant metabolism; (3) response to nutrient components and (4) determination of grape flavor. Volcanic wine terroirs, such as the Priorat DOQ region, are special geologic environments for wine growth, capable of producing unique wine aromatic and gustatory characteristics.

Michal Töpfer, Milad Abdullah, Tomáš Bureš et al.

In this paper, we extend our ensemble-based component model DEECo with the capability to use machine-learning and optimization heuristics in establishing and reconfiguration of autonomic component ensembles. We show how to capture these concepts on the model level and give an example of how such a model can be beneficially used for modeling access-control related problem in the Industry 4.0 settings. We argue that incorporating machine-learning and optimization heuristics is a key feature for modern smart systems which are to learn over the time and optimize their behavior at runtime to deal with uncertainty in their environment.

Haocong Luo, Ataberk Olgun, A. Giray Yağlıkçı et al.

Memory isolation is critical for system reliability, security, and safety. Unfortunately, read disturbance can break memory isolation in modern DRAM chips. For example, RowHammer is a well-studied read-disturb phenomenon where repeatedly opening and closing (i.e., hammering) a DRAM row many times causes bitflips in physically nearby rows. This paper experimentally demonstrates and analyzes another widespread read-disturb phenomenon, RowPress, in real DDR4 DRAM chips. RowPress breaks memory isolation by keeping a DRAM row open for a long period of time, which disturbs physically nearby rows enough to cause bitflips. We show that RowPress amplifies DRAM's vulnerability to read-disturb attacks by significantly reducing the number of row activations needed to induce a bitflip by one to two orders of magnitude under realistic conditions. In extreme cases, RowPress induces bitflips in a DRAM row when an adjacent row is activated only once. Our detailed characterization of 164 real DDR4 DRAM chips shows that RowPress 1) affects chips from all three major DRAM manufacturers, 2) gets worse as DRAM technology scales down to smaller node sizes, and 3) affects a different set of DRAM cells from RowHammer and behaves differently from RowHammer as temperature and access pattern changes. We demonstrate in a real DDR4-based system with RowHammer protection that 1) a user-level program induces bitflips by leveraging RowPress while conventional RowHammer cannot do so, and 2) a memory controller that adaptively keeps the DRAM row open for a longer period of time based on access pattern can facilitate RowPress-based attacks. To prevent bitflips due to RowPress, we describe and evaluate a new methodology that adapts existing RowHammer mitigation techniques to also mitigate RowPress with low additional performance overhead. We open source all our code and data to facilitate future research on RowPress.

Zheng-Lian Su, Xun-Lin Jiang, Ning Li et al.

Unmanned aerial vehicles (UAVs) have been widely used for target detection in modern battlefields. From the viewpoint of the opponents, false target jamming is an effective approach to decrease the UAV detection ability or probability, but currently there are few research efforts devoted to this adversarial problem. This paper formulates an optimization problem of false target jamming based on a counterpart problem of UAV detection, where each false target jamming solution is evaluated according to its adversarial effects on a set of possible UAV detection solutions. To efficiently solve the problem, we propose an evolutionary framework, which is implemented with four popular evolutionary algorithms by designing/adapting their evolutionary operators for false target jamming solutions. Experimental results on 12 test instances with different search regions and numbers of UAVs and false targets demonstrate that the proposed approach can significantly reduce the UAV detection probability, and the water wave optimization (WWO) metaheuristic exhibits the best overall performance among the four evolutionary algorithms. To our knowledge, this is the first study on the optimization of false target jamming against UAV detection, and the proposed framework can be extended to more countermeasures against UAV operations.

Zhiming Feng, Zhiming Feng, Mingyou Li et al.

Rice blast, caused by Magnaporthe oryzae (M. oryzae), is one of the most destructive diseases threatening rice production worldwide. Development of resistant cultivars using broad-spectrum resistance (R) genes with high breeding value is the most effective and economical approach to control this disease. In this study, the breeding potential of Pigm gene in geng/japonica rice breeding practice in Jiangsu province was comprehensively evaluated. Through backcross and marker-assisted selection (MAS), Pigm was introduced into two geng rice cultivars (Wuyungeng 32/WYG32 and Huageng 8/HG8). In each genetic background, five advanced backcross lines with Pigm (ABLs) and the same genotypes as the respective recurrent parent in the other 13 known R gene loci were developed. Compared with the corresponding recurrent parent, all these ABLs exhibited stronger resistance in seedling inoculation assay using 184 isolates collected from rice growing regions of the lower region of the Yangtze River. With respect to panicle blast resistance, all ABLs reached a high resistance level to blast disease in tests conducted in three consecutive years with the inoculation of seven mixed conidial suspensions collected from different regions of Jiangsu province. In natural field nursery assays, the ABLs showed significantly higher resistance than the recurrent parents. No common change on importantly morphological traits and yield-associated components was found among the ABLs, demonstrating the introduction of Pigm had no tightly linked undesirable effect on rice economically important traits and its associated grain weight reduction effect could be probably offset by others grain weight genes or at least in the background of the aforementioned two varieties. Notably, one rice line with Pigm, designated as Yangnonggeng 3091, had been authorized as a new variety in Jiangsu province in 2021, showing excellent performance on both grain yield and quality, as well as the blast resistance. Together, these results suggest that the Pigm gene has a high breeding value in developing rice varieties with durable and broad-spectrum resistance to blast disease.

A. V. Veretyokhin

The digital advertising development features and prospects in the world and in the Russian Federation in particular have been considered. An approach to defining the advertising concept essence in the digital field has been presented. A summary of the scientific research results has made it possible to identify the industry’s growth constraints and its main development drivers, as well as define the importance and distinguishing features of modern advertising campaigns in the digital space. Based on analysis of current data from relevant organisations for the digital advertising market, an increase in growth rates has been identified overall by region and country, as well as for individual advertising segments.

Guillaume Larid, Justine Vix, Ronan Garlantezec et al.

Abstract Remission in rheumatoid arthritis (RA) is an important therapeutic target that is not easy to achieve in real-life conditions. Some prognostic factors have been identified but the literature is variable. The objectives of this study were to evaluate the remission rate and the maintenance of remission in patients with RA over 7 years of follow-up in real-life conditions and to identify prognostic factors of long-term remission. Patients with RA seen at the Poitiers University Hospital were identified and clinical and biological data were collected. Data were analysed after 1 year and 7 years. Twice as many patients were in remission at 7 years than at 1 year of follow-up. 48.6% of patients who were not in remission at 1 year obtained remission at 7 years of follow-up. Patients achieving remission were more often receiving coprescription of csDMARDs and bDMARDs. Patients not in remission at 7 years were given more corticosteroids at higher doses. After 7 years of follow-up, low initial disease activity and use of csDMARDs and bDMARDs appeared to be independent positive predictive factors. Once obtained at one year, remission was maintained for 76% of our patients. As a conclusion, modern management of RA, whatever disease duration, leads to remission rates similar to those of early RA after 7 years of follow-up.

James Annis, Jeffrey A. Newman, Anže Slosar

Cosmological observations in the new millennium have dramatically increased our understanding of the Universe, but several fundamental questions remain unanswered. This topical group report describes the best opportunities to address these questions over the coming decades by extending observations to the $z<6$ universe. The greatest opportunity to revolutionize our understanding of cosmic acceleration both in the modern universe and the inflationary epoch would be provided by a new Stage V Spectroscopic Facility (Spec-S5) which would combine a large telescope aperture, wide field of view, and high multiplexing. Such a facility could simultaneously provide a dense sample of galaxies at lower redshifts to provide robust measurements of the growth of structure at small scales, as well as a sample at redshifts $2<z<5$ to measure cosmic structure at the largest scales, spanning a sufficient volume to probe primordial non-Gaussianity from inflation, to search for features in the inflationary power spectrum on a broad range of scales, to test dark energy models in poorly-explored regimes, and to determine the total neutrino mass and effective number of light relics. A number of compelling opportunities at smaller scales should also be pursued alongside Spec-S5. The science collaborations analyzing DESI and LSST data will need funding for a variety of activities, including cross-survey simulations and combined analyses. The results from these experiments can be greatly improved by smaller programs to obtain complementary data, including follow-up studies of supernovae and spectroscopy to improve photometric redshift measurements. The best future use of the Vera C. Rubin Observatory should be evaluated later this decade after the first LSST analyses have been done. Finally, investments in pathfinder projects could enable powerful new probes of cosmology to come online in future decades.

Jorge Ramón Ros

Este artículo analiza, por un lado, cómo eran percibidas las relaciones entre l'Horta y la ciudad de Valencia por las autoridades municipales y la prensa a través de sus representaciones de los fematers (agricultores encargados de la recogida de desperdicios urbanos); y por otro, cómo la última generación de este oficio ha dado sentido a sus recorridos pasados entre el campo y la ciudad. De acuerdo a las fuentes interpretadas (documentación interna consistorial, literatura, prensa y entrevistas orales) son contrastados tres contextos distintos. En primer lugar, el de sus conflictos sociales con el incipiente gobierno blasquista a principios del siglo XX; en segundo lugar, una etapa de malestar agrario generalizado entre la I Guerra Mundial y el trienio bolchevique (1916-1921) y por último, en los albores del desarrollismo franquista en Valencia, etapa en la que desempeñaron su trabajo los fematers entrevistados.

Song Li, Yang Xiao, Jin Min Yang

This note is a pedagogical mini review on the muon anomalous magnetic moment ($g-2$), translated and adapted from our article published in Modern Physics 4 (2021) 40-47. The contents include: (i) The magnetic moment of an electric-current coil; (ii) The magnetic moment of a charged lepton estimated as a classical charged ball with spin; (iii) The magnetic moment of a charged lepton from Dirac equation with electromagnetic interaction; (iv) The $g-2$ of a charged lepton from QED beyond tree level with effective couplings; (v) The measurement of muon $g-2$; (vi) The muon $g-2$ in low energy supersymmetric models. Finally, we give an outlook.

Massimiliano S. Tagliamonte, Charles A. Yowell, Maha A. Elbadry et al.

ABSTRACT The malaria parasite, Plasmodium falciparum, was introduced into Hispaniola and other regions of the Americas through the slave trade spanning the 16th through the 19th centuries. During this period, more than 12 million Africans were brought across the Atlantic to the Caribbean and other regions of the Americas. Since malaria is holoendemic in West Africa, a substantial percentage of these individuals carried the parasite. St. Domingue on Hispaniola, now modern-day Haiti, was a major port of disembarkation, and malaria is still actively transmitted there. We undertook a detailed study of the phylogenetics of the Haitian parasites and those from Colombia and Peru utilizing whole-genome sequencing. Principal-component and phylogenetic analyses, based upon single nucleotide polymorphisms (SNPs) in protein coding regions, indicate that, despite the potential for millions of introductions from Africa, the Haitian parasites share an ancestral relationship within a well-supported monophyletic clade with parasites from South America, while belonging to a distinct lineage. This result, in stark contrast to the historical record of parasite introductions, is best explained by a severe population bottleneck experienced by the parasites introduced into the Americas. Here, evidence is presented for targeted selection of rare African alleles in genes which are expressed in the mosquito stages of the parasite’s life cycle. These genetic markers support the hypothesis that the severe population bottleneck was caused by the required adaptation of the parasite to transmission by new definitive hosts among the Anopheles (Nyssorhynchus) spp. found in the Caribbean and South America. IMPORTANCE Historical data suggest that millions of P. falciparum parasite lineages were introduced into the Americas during the trans-Atlantic slave trade, which would suggest a paraphyletic origin of the extant isolates in the Western Hemisphere. Our analyses of whole-genome variants show that the American parasites belong to a well-supported monophyletic clade. We hypothesize that the required adaptation to American vectors created a severe bottleneck, reducing the effective introduction to a few lineages. In support of this hypothesis, we discovered genes expressed in the mosquito stages of the life cycle that have alleles with multiple, high-frequency or fixed, nonsynonymous mutations in the American populations which are rarely found in African isolates. These alleles appear to be in gene products critical for transmission through the anopheline vector. Thus, these results may inform efforts to develop novel transmission-blocking vaccines by identifying parasite proteins functionally interacting with the vector that are important for successful transmission. Further, to the best of our knowledge, these are the first whole-genome data available from Haitian P. falciparum isolates. Defining the genome of these parasites provides genetic markers useful for mapping parasite populations and monitoring parasite movements/introductions.

AKM Iqridar Newaz, Amit Kumar Sikder, Mohammad Ashiqur Rahman et al.

The recent advancements in computing systems and wireless communications have made healthcare systems more efficient than before. Modern healthcare devices can monitor and manage different health conditions of the patients automatically without any manual intervention from medical professionals. Additionally, the use of implantable medical devices (IMDs), body area networks (BANs), and Internet of Things (IoT) technologies in healthcare systems improve the overall patient monitoring and treatment process. However, these systems are complex in software and hardware, and optimizing between security, privacy, and treatment is crucial for healthcare systems as any security or privacy violation can lead to severe effects on patients' treatments and overall health conditions. Indeed, the healthcare domain is increasingly facing security challenges and threats due to numerous design flaws and the lack of proper security measures in healthcare devices and applications. In this paper, we explore various security and privacy threats to healthcare systems and discuss the consequences of these threats. We present a detailed survey of different potential attacks and discuss their impacts. Furthermore, we review the existing security measures proposed for healthcare systems and discuss their limitations. Finally, we conclude the paper with future research directions toward securing healthcare systems against common vulnerabilities.