Miracle-dz/UniFAR-FTUs huggingface dataset:
Between Assyria and the Mediterranean World:: the Prosperity of Judah and Philistia in the Seventh Century BCE in Context

The seventh century is regarded as a period of peace and quiet, usually attributed to the Assyrian hegemony – the period of “Pax Assyriaca”. Following Sennacherib’s campaign in 701 BCE, the westernmost parts of the Assyrian empire were pacifi ed, and most of the region was now under direct Assyrian control. The southern states of Judah and Philistia, however, remained semi-independent. Settlements had expanded into areas not densely inhabited before, such as the Judean desert and the Beersheba-Arad valleys. The economy prospered, both in terms of production and commerce. By the end of the century, perhaps following a short period of Egyptian domination, the area became part of the Babylonian empire. In the process, however, practically every coastal site was destroyed, thus sealing well-dated and usually also well-preserved seventh century strata, which are the source of the wealth of information we possess for this period. The kingdom of Judah and the Philistine cities along the coast experienced unparalleled economic prosperity during the seventh century BCE. This is evident from the surge of settlement in the fringe areas of the Negev and the Judean desert, and from the large production and trade centres unearthed around Jerusalem and at Ekron and Ashkelon. The discovery of Judahite wheat in Ashkelon, together with other available archaeological evidence of trade and the local geographical conditions, enable us to reconstruct the well-integrated economy of the region in the seventh century, and to re-examine its role within the period’s larger economic structures. After presenting the evidence regarding the economic system of Judah and Philistia in the seventh century BCE, the paper will reconstruct the function of this ‘local’ system within the larger ‘world’ system, and will re-examine the role of the Assyrians, Phoenicians and Egyptians in its creation.
The Elastic Anisotropy of the Whitby Mudstone Formation at Varying Water Saturations

Mudstones are characterized by their tight matrix and are therefore of interest in various industries, including the petroleum and underground repository industry. These clay-rich rocks often show dynamic elastic anisotropy, which causes significant problems in geophysical interpretations. In addition, pore water has a significant effect on the bulk properties of mudstones. However, the degree of saturation is often not reported in the literature. This study investigates the impact of water saturation on the elastic anisotropy of the Whitby Mudstone. Four core plugs with different water saturations were deformed until failure and tested ultrasonically at effective confining pressure conditions of 25 MPa. P-wave and S-wave velocities were monitored along the symmetry axis, across the core diameter, and at ~49˚ to the horizontal bedding plane to calculate the full elastic tensor and subsequently the Thomsen anisotropy parameters. The degree of saturation highly affects the rock strength and static elastic properties and leads to significant changes in the elastic anisotropy parameters.
Self-annealing behavior and rapid thermal processing of light induced plated copper fingers on silicon solar cells

Light-induced plating presents a potentially lower- cost alternative to screen-printed Ag for silicon solar cell metallization. This paper presents results of experiments that investigated the effects of bias current density and post-plating rapid thermal processing (RTP) on plated Cu finger microstructure and texture. It is shown that the Cu, if not annealed after plating, self-anneals with time resulting in grain growth and increased (200) to (111) grain texture which is associated with increased tensile stress. The rate of self-annealing is much faster with high plating current densities. Post-plating RTP annealing enables fast annealing and stable Cu fingers with a low ratio of (200) to (111) grain texture. These findings have important implications for plated finger adhesion and highlight the importance of annealing after plating for reliable Cu plated metallization.
Identification of the Key Genes of Autism Spectrum Disorder Through Protein-Protein Interaction Network

Background: Currently, the prevalence of autism spectrum disorder (ASD) is increasing, which widely spurs the interest in the molecular investigation. Thereby, a better understanding of the given disorder mechanisms is likely to be achieved. Bioinformatics suiting protein-protein interactions analysis via the application of high-throughput studies, such as protein array, is one of these achievements. Materials and Methods: The gene expression data from Gene Expression Omnibus (GEO) database were downloaded, and the expression profile of patients with developmental delay and autistic features were analyzed via Cytoscape and its relevant plug-ins. Results: Our findings indicated that EGFR, ACTB, RHOA, CALM1, MAPK1, and JUN genes as the hub-bottlenecks and their related terms could be important in ASD risk. In other words, any expression modification in these genes could trigger dysfunctions in the corresponding biological processes. Conclusion: We suggest that differentially expressed genes could be used as suitable targets for ASD after being validated.
Customized High Performance and Energy Efficient Communication Networks for AI Chips

The convolutional and deep neural networks are prevalent machine learning algorithms for real-world applications. As the neural network needs large computations, many artificial intelligence (AI) chips are designed to accelerate the computation. AI chips have achieved better energy efficiency and high computational capacity in the neural network implementation. The communication network in AI chips influences the data transformation and hardware efficiency. The network-on-chip (NoC) is one feasible solution to meet the data communication requirements in AI chips. This paper introduces the communication network in AI chips and the strategy of mapping neural network to chips with the extensible hierarchical architecture. We also conclude the opportunities for communication optimization in the design of AI chips. In this paper, we propose our processor architecture and optimize the performance and energy of intra-communication in chips from three aspects: data reuse, topology, and router architecture. The experimental results show that our optimization can totally achieve <inline-formula> <tex-math notation="LaTeX">$25.31\times $ </tex-math></inline-formula> latency reduction and <inline-formula> <tex-math notation="LaTeX">$79.92\times $ </tex-math></inline-formula> energy less than the baseline. The results show that our design can reduce the latency by <inline-formula> <tex-math notation="LaTeX">$5.47\times $ </tex-math></inline-formula> and save communication energy by <inline-formula> <tex-math notation="LaTeX">$7.5\times $ </tex-math></inline-formula> when compared with the state-of-the-art design DaDianNao. When compared with another design Eyeriss, our design can reduce latency by <inline-formula> <tex-math notation="LaTeX">$7.57\times $ </tex-math></inline-formula> and save communication energy by <inline-formula> <tex-math notation="LaTeX">$3.03\times $ </tex-math></inline-formula>.
Models and Interaction of Intensive Training and Sport Performance of 14–15-Year-Old Athletes in Rhythmic Gymnastics

Research background and hypothesis. The efficacy of athlete’s sport performance depends on the targeted training in certain periods, organization, management, individual adaptation of an athlete to the loads of training and competitions. Research aim of this work was to determine the impact of intensive training on sport performance of 14–15 year old athletes in rhythmic gymnastics and their optimization. Research methods. The experiment resulted in modeling two different training programs and establishing the structure of the content of the training programs, as well as athletes’ sports performance. The training loads protocols registered the time for choreography, element mastering, competitive routines and athletic training in each training session. The efficacy of the training programs was established registering the realization of competitive activities under competitive conditions according to the number of points received by the gymnast of each training program and according to the place won. When we tried to establish if the training sessions and competitive loads matched the specificity of competitive activities, we registered the changes in the athletes’ heart rate during different training sessions.Research results. Training of athletes in two training programs was different – their training loads were not significantly different – from 672 to 697 hours a year, as well as the indices of the training days – from 5.4 to 5.6 days a week, but the training content differed significantly. In most effective training program choreographic training dominated (30.9%). Statistically significant differences (p < 0.05) were found in the indices of explosive strength and muscular power, specific endurance and coordination movement abilities. At the beginning of the season and at the end of it the realization of the body movement technique performing routines with different tools was not different (p > 0.05). Discussion and conclusion. Sports performance of 14–15-year-old athletes in rhythmic gymnastics was mostly influenced by the time for mastering competitive routines (r = 0.836); however, the research did not establish differences in intensifying training. Besides the importance of integral athletic fitness, explosive strength, and strength endurance, the research established the significance of aerobic fitness (r = 0.704) for sports performance. Moreover, the significance of body composition indices increased in comparison with previous training years: body height (r = –0.819), body weight (r = –0.657), and BMI (r = –0.836). Keywords: rhythmic gymnastics, training, performance, metamodel.
Temporal Heterogeneities Increase the Prevalence of Epidemics on Evolving Networks

Empirical studies suggest that contact patterns follow heterogeneous inter-event times, meaning that intervals of high activity are followed by periods of inactivity. Combined with birth and death of individuals, these temporal constraints affect the spread of infections in a non-trivial way and are dependent on the particular contact dynamics. We propose a stochastic model to generate temporal networks where vertices make instantaneous contacts following heterogeneous inter-event times, and leave and enter the system at fixed rates. We study how these temporal properties affect the prevalence of an infection and estimate R0 , the number of secondary infections, by modeling simulated infections (SIR, SI and SIS) co-evolving with the network structure. We find that heterogeneous contact patterns cause earlier and larger epidemics on the SIR model in comparison to homogeneous scenarios. In case of SI and SIS, the epidemics is faster in the early stages (up to 90% of prevalence) followed by a slowdown in the asymptotic limit in case of heterogeneous patterns. In the presence of birth and death, heterogeneous patterns always cause higher prevalence in comparison to homogeneous scenarios with same average inter-event times. Our results suggest that R0 may be underestimated if temporal heterogeneities are not taken into account in the modeling of epidemics. INTRODUCTION Living in society implies that individuals are constantly interacting with each other. Interactions may take different forms, but those involving proximity or direct contact are of special interest because they are potential bridges for propagating infections. Empirical data suggest that contact patterns and consequently the network structure depend on the environment and context of the contacts [1]. The way people find
Current Progress and Future Directions in the Double Burden of Malnutrition among Women in South and Southeast Asian Countries

ABSTRACT Background In order to combat the double burden of malnutrition the UN General Assembly has established under its Sustainable Development Goal-2 (SDG2) a set of nutritional targets that member countries need to achieve by 2030, with the goal of eradicating all forms of malnutrition worldwide. Objectives In order to understand progress towards this goal, we reviewed recent trends and forecast future trends to examine the likelihood of South and Southeast Asian countries achieving the SDG2 target by 2030. We also considered how inequalities based on wealth, education, and urban/rural dwelling influence the current and future prevalence of underweight, overweight, and obesity. Methods We used population-representative cross-sectional data from the Demographic and Health Survey, conducted between 1996 and 2016, for 8 South and Southeast Asian countries. We used a Bayesian linear regression model to estimate trends and to forecast the prevalence of underweight, overweight, and obesity by 2030. Results The overall pooled prevalence of underweight, overweight, and obesity in the South and Southeast Asian region was 22.9%, 21.3%, and 8.6%, respectively. Regional average annual rate of reduction and average annual rate of increase for the period 1996 to 2016 were 1.3% and 8.4% for underweight and overweight/obesity respectively. We estimate that if current trends continue as projected, the proportion of underweight and overweight/obesity will be 6.6% (95% CI: 3.9%, 11.1%) and 76.6% (95% CI: 64.3%, 85.7%) in 2030, respectively. Specific projections based on the wealth index suggested that by 2030 the prevalence of underweight would be highest among the poorest sector of society, and overweight and obesity highest among the richest sector. Conclusions We found that despite progress in reducing underweight, nearly two-thirds of the South and Southeast Asian population will be overweight or obese by 2030. Our findings suggest that countries in this region will not achieve the 2030 SDG2 target.
[New records of phlebotomine sand flies (Diptera: Psychodidae) near the Amoya River in Chaparral, Tolima].

INTRODUCTION In Colombia, the diversity of phlebotomine sand flies is high, with 162 recorded species, and which include vectors of Leishmania spp. OBJECTIVE To identify the sand fly species of medically importance in the area of influence from Amoyá River Hydroelectric Project, Colombia. MATERIALS AND METHODS Sand flies were collected with CDC light traps, Shannon traps and sticky traps, from 15 villages in Chaparral County,Tolima. RESULTS A total of 1,077 adult sand fly specimens were collected. Thirteen species were found in the genus Lutzomyiaand one species in the genus Warileya.Among the Lutzomyia species, three species--Lutzomyia longiflocosa, Lutzomyia columbiana and Lutzomyia nuneztovari--are important for their epidemiological history.Lutzomyia suapiensis was a new record for Colombia, and Warileya rotundipennis was recorded for the first time in Tolima. CONCLUSIONS This study contributed to an increased knowledge of Colombian sand flies in terms of (1) expanding the geographical distribution of members of the subfamily Phlebotominae, (2) gaining estimates of species-richness and species associations in central Colombia, and (3) providing a better understanding of epidemiology of leishmaniasis in the Chaparral area.
Clinical Results Using Virtual Reality

Abstract Virtual Reality (VR) technology offers new opportunities for the development of innovative clinical research, assessment, and intervention tools. VR-based testing, training, teaching, and treatment approaches that would be difficult, if not impossible to deliver using traditional methods are now being developed that take advantage of the assets that are available with VR technology. As research evidence continues to indicate clinical efficacy, VR applications are being increasingly regarded as providing innovative options for targeting the cognitive, psychological, motor, and functional impairments that result from various clinical health conditions. VR allows for the precise presentation and control of stimuli within dynamic multisensory 3-D computer generated simulations as well as providing advanced methods for capturing and quantifying behavioral responses. These characteristics support the rationale for the use of VR applications in clinical assessment, intervention, and training. This article begins with a brief review of the history and rationale for the use of VR with clinical populations. We then detail one use-case for the clinical application of VR—the exposure therapy treatment of anxiety disorders and post-traumatic stress disorder. While significant work is cited in other areas of Clinical VR (e.g., pain management, cognitive/physical assessment/rehabilitation, eating disorders, social skills/clinical training, etc.), a full overview of such a broad literature is beyond the scope of this article. Thus, we have opted to provide more in-depth analysis of one specific clinical area that clearly illustrates how VR has been successfully applied and is supported by an encouraging and evolving scientific literature.
Control of EV charging points for thermal and voltage management of LV networks

Summary form only given. High penetrations of domestic electric vehicles (EVs) in UK low voltage (LV) networks may result in significant technical problems. This paper proposes an implementable, centralized control algorithm, currently being trialed in 9 UK residential LV networks, that uses limited information to manage EV charging points to mitigate these technical problems. Two real UK LV networks are used to quantify the potential impacts of different EV penetration levels and to demonstrate the effectiveness of the control algorithm (using different control cycles) for simultaneous thermal and voltage management. Monte Carlo simulations (adopting 1-min resolution data) are undertaken to cater for domestic and EV demand uncertainties. Results for these LV networks show that problems may occur for EV penetrations higher than 20%. More importantly, they highlight that even for a 100% penetration and control cycles of up to 10 min, the control algorithm successfully mitigates problems on the examined LV networks. Crucially, to determine effects on the comfort of EV users, a metric is introduced and discussed. The results of different control settings are presented to analyze potential adaptations of the control strategy. Finally, a comparison with an optimization framework highlights that the proposed algorithm is as effective whilst using limited information.
PENGARUH AGEN PERUBAHAN, SALURAN KOMUNIKASI DAN KARAKTERISTIK INOVASI TERHADAP KEPUTUSAN ADOPSI DALAM PELAKSANAAN E-PROCUREMENT DI KABUPATEN SUKOHARJO

Abstract This study aims to (1) know the role of diffusion of innovation variable influence the agent of change, a channel of communication, characteristic of innovation and social condition of the system in the process of diffusion of technology innovation e-procurement in Sukoharjo Regency and (2) know variable diffusion of innovation that a dominant influence in Sukoharjo Regency e-procurement. The result showed that (1) the role of the agent of change has significant impact of the decision adoption/use e-procurement system in Sukoharjo Regency so ii received hypothesis, (2) variable communication have significantimpact of the decision adoption/use e-procirement system in Sukoharjo Regency so hypothesis ii accepted and (3) variable characteristic innovation have significant impact of the decision adoption/use e-procurement significant impact of the decision adption/use e-procurement system in Sukoharjo Regency so hypothesis iii accepted. But the result count the contribution of the percentage of the role of the agent of change, of the use of the communication and characteristic innovation of the decision use e-procurement system in significant influential bidding process, the remaining affected by the outside this research. While the beta coefficient showing influence most dominant of the free on variables bound. Key Words : Diffusion of innovation, e-Procurement Abstrak Penelitian ini bertujuan untuk (1) mengetahui pengaruh variabel difusi inovasi peran agen perubahan, saluran komunikasi, karakteristik inovasi dan kondisi sistem sosial dalam proses difusi teknologi inovasi e-procurement di Kabupaten Sukoharjo dan (2) mengetahui variabel difusi inovasi yang dominan mempengaruhi e-procurement di Kabupaten Sukoharjo. Hasil penelitian menunjukkan bahwa (1) peran agen perubahan memiliki pengaruh yang siginifikan terhadap keputusan adopsi/penggunaan sistem e-proc di Kabupaten Sukoharjo sehingga hipotesis I diterima, (2) variabel saluran komunikasi memiliki pengaruh yang siginifikan terhadap keputusan adopsi/penggunaan sistem e-proc di Kabupaten Sukoharjo sehingga hipotesis II diterima dan (3) variabel karaktersitik inovasi memiliki pengaruh yang siginifikan terhadap keputusan adopsi/penggunaan sistem e-proc di Kabupaten Sukoharjo sehingga hipotesis III diterima. Adapun besaran hasil hitung kontribusi persentase peran agen perubahan, penggunaan saluran komunikasi dan karaktersistik inovasi terhadap keputusan penggunaan sistem E-Proc dalam proses pelelangan signifikan berpengaruh, sedangkan sisanya dipengaruhi oleh variabel di luar penelitian ini. Sedangkan besaran koefisien beta yang menunjukan pengaruh paling dominan dari variabel bebas terhadap variabel terikat. Kata Kunci: Difusi Inovasi, E- Procurement
Apropos: 'Gut Microbiota Differences in Children From Distinct Socioeconomic Levels Living in the 1 Same Urban Area in Brazil'.

T o the Editor: The study authored by Mello et al (1) introduces a novel insight by comparing the human gut microbial composition in children living in the same geographic area, stratified by socioeconomic status. The authors, however, make conclusions that are not supported by the author’s study results or methods. The authors failed to properly explain how the community leaders and researchers defined the classification requirements for a ‘‘slum’’ within the study area. Mello et al discussed the location of the perceived ‘‘slum’’ and presented example pictures of the area; however, detailed criteria to what constituted as a ‘‘slum’’ are missing and lead readers to believe slums were identified subjectively. A subjective approach to identifying ‘‘slums’’ will lead to selection bias drastically skewing the study results. In addition, the authors do not discuss the study’s significant limitations, including the lack of a food diary collection, a crucial measure for establishing a baseline dietary picture for each study participant. Even though the authors discussed the differential dietary categories among the groups, it is curious that the authors decided not to do any kind of dietary data collection/analysis for this study group. Finally, it is crucial, even in studies not evaluating microbiota composition dynamics over time, to collect multiple samples to effectively judge the accuracy and consistency of the sample collection process. These practices will reduce error and increase confidence in eventual study conclusions. Future human gut microbiota–related studies must take greater care and deference in sound study design to avoid these problems in the future. Sheldon Waugh Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL