Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance analysis and power allocation of mixed-ADC multi-cell millimeter-wave massive MIMO systems with antenna selection

In this study, we consider a multi-cell millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) system with a mixed analog-to-digital converter (mixed-ADC) and hybrid beamforming architecture, in which antenna selection is applied to achieve intelligent assignment of high- and low-resolution ADCs. Both exact and approximate closed-form expressions for the uplink achievable rate are derived in the case of maximum-ratio combining reception. The impacts on the achievable rate of user transmit power, number of radio frequency chains at a base station, ratio of high-resolution ADCs, number of propagation paths, and number of quantization bits are analyzed. It is shown that the user transmit power can be scaled down inversely proportional to the number of antennas at the base station. We propose an efficient power allocation scheme by solving a complementary geometric programming problem. In addition, the energy efficiency is investigated, and an optimal tradeoff between the achievable rate and power consumption is discussed. Our results will provide a useful reference for the study of mixed-ADC multi-cell mmWave massive MIMO systems with antenna selection.
Diatoms enhance the reactive Fe pool: increasing Fe-photoreduction and light-independent modification of strong Fe-binding ligands

Short term (2 days) laboratory studies showed the modification of Fe speciation in seawater by two open oceanic Antarctic diatom species, Thalassiosira sp. and Chaetoceros brevis. Three light conditions were used during these experiments: the total spectrum (visible light (VIS; 400-700 nm) + ultraviolet B (UVB; 280-315 nm) + ultraviolet A (UVA; 315-400 nm)) and the others by exclusion of UVB and UVB+UVA, respectively. An increase in the Fe(II) concentration during the second day of the experiments in concert with an increasing importance of VIS suggests a modification of the photoreducible Fe fraction due to organic substances released by the diatoms. Furthermore, C. brevis modifies part of the strong Fe-binding ligand assemblage resulting in weaker Fe-binding ligands. This effect has not been observed in cultures with Thalassiosira sp. Overall, these diatoms appear to actively enhance the reactive Fe pool and improve the biological availability of Fe.
Detecting Handwritten Text from Forms using Deep Learning

Digital Image Processing is an expeditiously emerging field possessing a large number of applications in science and engineering aspects. One of the most used applications in almost every sector is Optical Character Recognition (OCR). OCR is the electronic conversion of handwritten text into digital format which makes information processing from printed papers to data records easy, thus helping to electronically edit, search and store printed texts into machines. This text can then be used in variety of applications like machine translation, speech-to-text, pattern recognition etc. OCR as a piece of software applies pre-processing to improve the recognition in images. This pre-processing step includes skewness correction, despeckling, layout analysis and line and word detection. OCR saves tons of manual effort by recognizing handwritten text with word level detection resulting in an accuracy of 81% to 90%. With form processing, one can capture information in digital format that can save time, labor and money. This helps in achieving a better accuracy in detection. Such systems range from minor application forms to large scale survey forms. Deep Learning algorithms dealing with computer vision related tasks can be used to build a recognition engine.
Predicting the spread of COVID-19 in Ireland using an age-cohort SEIRD model

The spread of the novel coronavirus SARS-CoV-19 throughout a population can be modelled through the use of compartment models. Here we will use age-cohort separation to design a system of ordinary differential equations, which will be solved with numerical methods in order to model the spread of the virus in Ireland by age-cohort. From here we analyse policy decisions made by the Irish Government throughout the COVID-19 pandemic in early 2020 in terms of their effect on differently aged people within the population. Simulations are generated of alternative policies that could be enacted in the future, with the aim of analysing the effectiveness of policies such as lockdown and cocooning. The results of this analysis indicate that a reduction in social interaction is a major driving force in the suppression of new infections and that reducing the contacts of vulnerable members of the population leads to a slower rate of increase in infections for the population at large. The testing for the model is done by varying the level of social interaction within the population over a 160 day interval from February 29th, 2020 until August 7th, 2020, with all projections past this date based on assumptions made relating to future levels of social interaction resulting from future policies.
Strengthening community in increasing village potential through pentahelix collaboration

Since the implementation of UU no. 6 of 2014, the village has considerable authority to develop its territory according to its potential. To optimize development in the village, community participation and all stakeholders in the village are needed, one of which is the younger generation. The young generation is an important instrument in the development process at various levels, with a fairly large number, and is supported by intellectual qualities that are creative, innovative, and adaptive to change to become capital for development in the village. This paper provides an overview of the new format of the youth movement as a step to optimize the role of the young generation in village development through community-based Penta helix collaboration. The method used is descriptive qualitative. The research was conducted at the Ruang Inovasi Jombang community which was considered successful in implementing the Penta Helix concept between the community, government, private sector, academia, and the media in developing and increasing the competitiveness of the village potential-based SME creative industry, so as to reduce poverty and unemployment in productive age in rural areas.
Local Evidence and Diversity in Minipublics

A policymaker selects a minipublic—a group of citizens from a demographically diverse citizenry with access to local evidence about the impact of a policy. Citizens face uncertainty about the policymaker’s eventual policy bias, which is shown to discourage the most marginally informative minipublic citizens from discovering their evidence. We fully characterize the optimal minipublic composition. Relative to the most demographically representative minipublic, the optimal minipublic overrepresents demographics at the margins of the citizenry while underrepresenting those around the median citizen. The representativeness of the optimal minipublic varies nonmonotonically with uncertainty. Our findings bear practical implications for minipublic design.
THE EFFECTIVENESS OF ADSORBENTS FOR SELECTIVE RECOVERY OF GOLD FROM COPPER-BEARING CYANIDE LEACH SOLUTIONS

Bakir icerigi yuksek altin cevherlerinden altinin kazaniminin zorlugu kanitlanmistir. Siyanur konsantrasyonu dusuk lic cozeltilerindeki cozunmus bakir, altinin aktif karbon veya iyon degistirici recinelere adsorpsiyonunu onemli olcude olumsuz etkilemekte ve dusuk altin kazanimlarina neden olmaktadir. Bu calismada, bakir iceren siyanur cozeltisinden altinin secimli olarak kazanilmasi icin farkli adsorbanlarin etkinlikleri bildirilmistir. Aktif karbon (NORIT GAC 1240), karisik bazik (Purogold A193), kuvvetli bazik (Dowex 21K XLT, Purogold A194) ve zayif bazik (Purogold S992) recineler adsorban olarak test edilmistir. Kavurma on islemine tabi tutulmus yuksek bakir iceren bir altin cevherinin siyanur lici ile 28,2 mg/L Au ve 2804 mg/L Cu iceren yuklu lic cozeltisi elde edilmistir. Aktif karbonun en yuksek ve onu takiben de Purogold S992’nin ikinci en yuksek adsorpsiyon kapasitesine sahip oldugu gorulmustur. Diger taraftan, en dusuk seviyede bakir adsorplayan Purogold S992 (zayif bazik), altin icin bakira gore en yuksek secimlilige ulasmistir. Karisik ve kuvvetli bazik recineler, en yuksek bakir adsorpsiyonuna sahiptir. Elde edilen sonuclar, Purogold S992'nin yuksek bakir iceren lic cozeltilerinden altinin secimli olarak kazaniminda kullanilmasinin uygun oldugunu gostermistir.
Synthesis and characterization of an α-Fe2O3/ZnTe heterostructure for photocatalytic degradation of Congo red, methyl orange and methylene blue

The leading challenge towards environmental protection is untreated textile dyes. Tailoring photocatalytic materials is one of the sustainable remediation strategies for dye treatment. Hematite (α-Fe2O3), due to its favorable visible light active band gap (i.e. 2.1 eV), has turned out to be a robust material of interest. However, impoverished photocatalytic efficiency of α-Fe2O3 is ascribable to the short life span of the charge carriers. Consequently, the former synthesized heterostructures possess low degradation efficiency. The aim of the proposed endeavor is the synthesis of a novel zinc telluride-modified hematite (α-Fe2O3/ZnTe) heterostructure, its characterization and demonstration of its enhanced photocatalytic response. The promising heterostructure as well as bare photocatalysts were synthesized via a hydrothermal approach. All photocatalysts were characterized by the X-ray diffraction technique (XRD), scanning electron microscopy (SEM), and electron diffraction spectroscopy (EDX). Moreover, the selectivity and activity of the photocatalyst are closely related to the alignment of its band energy levels, which were estimated by UV-Vis diffuse reflectance spectroscopy (DRS) and X-ray photoelectron spectroscopy (XPS). Nanomaterials, specifically α-Fe2O3 and α-Fe2O3/ZnTe, were used for the degradation of Congo red (97.9%), methyl orange (84%) and methylene blue (73%) under light irradiation (>200 nm) for 60 min. The results suggested that with the aforementioned optimized fabricated heterostructure, the degradation efficiency was improved in comparison to bare hematite (α-Fe2O3). The key rationale towards such improved photocatalytic response is the establishment of a type-II configuration in the α-Fe2O3/ZnTe heterostructure.
Implementation of Cloud Computing in Albania and Related Security Concerns

—Cloud Computing Technology is one of the Information and Communications Technologies (ICTs) which was given the most attention to during this recent decade. Since the trend of Cloud Computing Technology is already well-oriented in the World, we will see how this trend is affecting Albania and how this technology has been adopted in the local market. To identify this, we have conducted a research method based on two theories: the diffusion of innovation (DOI) model, and the technology organization environment (TOE) framework. This paper will present three Cloud Technologies’ cases implemented in Albania by public and private companies, as well the technical challenges and economic opportunities these implementations caused to the respective organizations. In the end, we will briefly present the results of the research, impacted factors, and the approach that should be followed by each player in order to have such technology more present in the Albanian market.
CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions

Properly selecting the configuration of a database management system (DBMS) is essential to increase performance and reduce costs. However, the task is astonishingly tricky due to a large number of tunable configuration parameters and their inter-dependencies. Also, the optimal configuration depends upon the workload to which the DBMS is exposed. To extract the full potential of a DBMS, we must also consider the entire IT stack on which the DBMS is running, comprising layers like the Java virtual machine, the operating system and the physical machine. Each layer offers a multitude of parameters that we should take into account. The available parameters vary as new software versions are released, making it impractical to rely on historical knowledge bases. We present a novel tuning approach for the DBMS configuration auto-tuning that quickly finds a well-performing configuration of an IT stack and adapts it to workload variations, without having to rely on a knowledge base. We evaluate the proposed approach using the Cassandra and MongoDB DBMSs, showing that it adjusts the suggested configuration to the observed workload and is portable across different IT applications. We try to minimise the memory consumption without increasing the response time, showing that the proposed approach reduces the response time and increases the memory requirements only under heavy-load conditions, reducing it again when the load decreases.
Priscilla Day‐Walsh1 · Emad Shehata1,2 · Shikha Saha1 · George M. Savva1 · Barbora Nemeckova1 · Jasmine Speranza1,3,4 · Lee Kellingray1 · Arjan Narbad1 · Paul A. Kroon1

Purpose Plasma trimethylamine-N-oxide (TMAO) levels have been shown to correlate with increased risk of metabolic diseases including cardiovascular diseases. TMAO exposure predominantly occurs as a consequence of gut microbiotadependent trimethylamine (TMA) production from dietary substrates including choline, carnitine and betaine, which is then converted to TMAO in the liver. Reducing microbial TMA production is likely to be the most effective and sustainable approach to overcoming TMAO burden in humans. Current models for studying microbial TMA production have numerous weaknesses including the cost and length of human studies, differences in TMA(O) metabolism in animal models and the risk of failing to replicate multi-enzyme/multi-strain pathways when using isolated bacterial strains. The purpose of this research was to investigate TMA production from dietary precursors in an in-vitro model of the human colon. Methods TMA production from choline, l-carnitine, betaine and γ-butyrobetaine was studied over 24–48 h using an in-vitro human colon model with metabolite quantification performed using LC–MS. Results Choline was metabolised via the direct choline TMA-lyase route but not the indirect choline–betaine-TMA route, conversion of l-carnitine to TMA was slower than that of choline and involves the formation of the intermediate γ-BB, whereas the Rieske-type monooxygenase/reductase pathway for l-carnitine metabolism to TMA was negligible. The rate of TMA production from precursors was choline > carnitine > betaine > γ-BB. 3,3-Dimethyl-1-butanol (DMB) had no effect on the conversion of choline to TMA. Conclusion The metabolic routes for microbial TMA production in the colon model are consistent with observations from human studies. Thus, this model is suitable for studying gut microbiota metabolism of TMA and for screening potential therapeutic targets that aim to attenuate TMA production by the gut microbiota. Trial registration number NCT02653001 (http:// www. clini caltr ials. gov), registered 12 Jan 2016.
The life history of the Yellow-spotted Amazon River Turtle (Podocnemis unifilis) as told from the nests

Nesting site selection is of great ecological and evolutionary importance for turtles, because it is a key determinant of individual reproductive success. In this study we evaluated the effects of two types of nesting substrate (sand bank and clay banks) on the incubation success of a generalist nesting species, Podocnemis unifilis, in a floodplain area in the Brazilian Amazon. Nesting characteristics were recorded during the nesting seasons of 2012–2014, when 634 nests were monitored throughout the incubation period. Mean size of laying females did not vary between substrate types (sand = 24.71 cm; clay = 25.44 cm; P = 0.2054), nor was clutch size related to females’ sizes. However, females that nested on sand bank exhibited a clearer pattern of nest positioning relative to distances to vegetation and water line than those laying eggs on clay banks. Mean egg size (40.24 ± 2.68 mm) and weight (21.09 ± 5.46 g) did not vary between types of nesting substrate, and there was no variation in clutch size across the reproductive seasons for either substrate. On the other hand, clutch sizes were higher in nests in clay banks (28 ± 8) than those that were deposited in sand bank (22 ± 7). Mean incubation time was shorter in sand bank (62 ± 5.98) than in clay banks (77 ± 4.33). Although eclosion success for sand and clay nests was high (84.82 and 72.97%, respectively), incubation success was relatively low in both substrate types (sand = 57.34%; clay = 25.80%). On sand bank, clutch losses were mainly due to human predation (16%), on clay banks, human predation also affected 16% of the nests, but floods compromised another 30%. Natural predation was mostly due to ovivory by the lizard Tupinambis teguixin, although fire ants, Solenopsis geminata, also contributed to egg predation on clay banks. Hatchlings incubated on sand bank were on average larger and heavier than those from clay banks nests. Our results suggest that differences found in the life histories of different populations of P. unifilis reflect flexible responses that are largely linked to the diversity of habitats this species utilizes for nesting. Furthermore, the presence of source-sink and habitat patches should be considered for short term population management, beyond the creation of networks of reserves that incorporate and protect a variety of nesting sites that these small local groups depend on for their survival.
A Survey on Diagnosis of Heart Diseases using Data Mining Techniques

Data mining tools are effectively used in disease diagnosis which helps health professional. From health sector a large number of data are collected, classification tools are applied on these data and discover new pattern. In this paper, heart diseases have been chosen for diagnosis and classification. An extensive analysis is performed on some popular data mining methods by using a large number of datasets in this work. To understand the major data mining techniques and select the suitable category of algorithms, the analysis result will help for heart disease analysis. Decision tree has successfully used in different research to predict disease. In this research, decision tree is applied to classify hypertension disease.
With a frown or a smile: How leader affective states spark the leader‐follower reciprocal exchange process

1 Department ofManagement, University of Nebraska-Lincoln, Lincoln, Nebraska, USA 2 Department ofManagement, University of Iowa, Iowa City, Iowa, USA 3 Department ofManagement, University of Oregon, Eugene, Oregon, USA 4 Krannert School ofManagement, Purdue University,West Lafayette, Indiana, USA 5 School ofManagement and Economics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China 6 Madden School of Business, LeMoyne College, Syracuse, NY, USA
Working capital management practices and sustainability of Barangay Micro Business Enterprises (BMBEs) in Ilocos Norte, Philippines

This study examines the relationship between the working capital management practices and sustainability of Barangay Micro Business Enterprises (BMBEs) in Ilocos Norte, Philippines. This study employed a correlational-descriptive research design. Data were gathered using a self-constructed questionnaire, which has been pre-tested to 30 other microenterprises and validated using Cronbach alpha. The participants were the owners of the 301 registered BMBEs in Ilocos Norte. This study was conducted from July to December 2020. The findings demonstrated that most of the BMBEs belong to the wholesale and retail trade sector, are registered as single proprietorships, and have no employees. The results also showed that the BMBEs have low economic, social, and environmental sustainability. Moreover, the study revealed that cash management was significantly related to economic and social sustainability, while accounts receivable and inventory management were significantly related to economic, social, and environmental sustainability.
Allosteric activation of SARS-CoV-2 RdRp by remdesivir triphosphate and other phosphorylated nucleotides

The catalytic subunit of SARS-CoV-2 RNA-dependent RNA polymerase (RdRp), Nsp12, has a unique NiRAN domain that transfers nucleoside monophosphates to the Nsp9 protein. The NiRAN and RdRp modules form a dynamic interface distant from their catalytic sites and both activities are essential for viral replication. We report that codon-optimized (for the pause-free translation) Nsp12 exists in inactive state in which NiRAN/RdRp interactions are broken, whereas translation by slow ribosomes and incubation with accessory Nsp7/8 subunits or NTPs partially rescue RdRp activity. Our data show that adenosine and remdesivir triphosphates promote synthesis of A-less RNAs, as does ppGpp, while amino acid substitutions at the NiRAN/RdRp interface augment activation, suggesting that ligand binding to the NiRAN catalytic site modulates RdRp activity. The existence of allosterically-linked nucleotidyl transferase sites that utilize the same substrates has important implications for understanding the mechanism of SARS-CoV-2 replication and design of its inhibitors. Highlights Codon-optimization of Nsp12 triggers misfolding and activity loss Slow translation, accessory Nsp7 and Nsp8 subunits, and NTPs rescue Nsp12 Non-substrate nucleotides activate RNA chain synthesis, likely via NiRAN domain Crosstalk between two Nsp12 active sites that bind the same ligands
THE USE AND USEFULNESS OF BIG DATA IN FINANCE: EVIDENCE FROM FINANCIAL ANALYSTS

We examine the use and usefulness of “alternative data” to financial analysts. We gauge analysts’ use of alternative data by recording when they explicitly reference the use of alternative data in their written reports. We gauge the performance implications by examining how any such reference relates to analysts’ forecast accuracy. We find that analysts frequently draw from alternative data and that their use of alternative data is accompanied with strong improvements in forecast accuracy and heightened stockmarket reactions to forecast revisions. Our results suggest that analysts make insights gleaned from alternative data widely available, thereby assisting broad sections of the investor population.
The Evolution of Optical OFDM

Optical Orthogonal Frequency-Division Multiplexing (O-OFDM) is eminently suitable for mitigating the multi-path and chromatic dispersion in both Visible Light Communications (VLC) and Optical Fiber Communications. We commence our discourse by surveying the conception and historic evolution of O-OFDM designed for both VLC and optical fiber, culminating in the birth of its most flexible design alternative, namely Layered Asymmetrically Clipped Optical OFDM (LACO-OFDM). We demonstrate that it is eminently suitable for intensity-modulation and direct-detection aided optical communication systems and characterize its design flexibility. It is also shown that given its flexibility, it subsumes a wide range of optical OFDM schemes conceived over the past two decades or so. The LACO-OFDM transmitter and receiver designs strike a compelling compromise between the features of the popular Asymmetrically Clipped Optical OFDM (ACO-OFDM) and Direct-Current-biased Optical OFDM (DCO-OFDM). The pivotal role of forward error correction designs is also surveyed with the objective of striking a coding gain versus complexity trade-off. We conclude by highlighting a suite of promising techniques capable of further improving the system performance, but require further research. The take-away message of the paper crystallized in the associated design guidelines.