Miracle-dz/UniFAR-FTUs huggingface dataset:
Physicochemical and Microbiological Quality of Soils Surrounding Two Man-Made Lakes in Abia State Nigeria

The physicochemical and microbial quality of soils surrounding Two Man-Made Lakes in Abia State Nigeria was investigated. Examination of the soils surrounding the lakes revealed that the soils were black, dark brown, reddish-black and light brown in colour at various points. The soils had higher percentage of sand followed by silt, then clay (Sand > Silt > Clay) and pH range of 6.95- 7.47 and 6.86- 7.47 in water and salt respectively. Organic carbon ranged from 1.37-3.1%, organic matter ranged from 2.02-4.42%, phosphate 0.005-3.90mg/g and sulphate 2.30- 3.65mg/g. The textural class of the soils were Sandy loam (Sl), Loamy sand (Ls) and Sandy clay loam (Scl). The soils adjoining the lakes had total aerobic mesophilic count range of 1.18- 1.26 × 10 7 cfu/g and 1.48- 1.80 × 10 7 cfu/g for dry and rainy seasons. The predominant fungi isolated from soils adjoining the lakes were Microsporium audounii , Aspergillus flavus , Fusarium species, Penicillium species and Aspergillusniger and Aspergillus glaucaus. This study provides baseline data on the physicochemical and microbiological quality of these soils surrounding these man-made lakes in a tribute mining community.
Assessment of Antimicrobial and Antioxidant Efficacy of Methanol Extract of Ziziphus Spina-Christi against Some Pathogenic Micro-Organisms Open

The antimicrobial activity of methanolic extracts of Ziziphus spina-christi leaves were examined by using agar well diffusion method against five bacteria Staphylococcus aureus (ATCC653-8), Pseudomonas aeruginosa MTCC2453, Bacillus cereus (ATCC6633), Escherichia coli MTCC739, Staphylococcus epidermides (local isolate) in addition to Candida albicans (ATCC2019). The results indicated that the Ziziphus spina-christi leaves methanol extract is effective against tested gram positive bacteria in addition to Candida albicans at all concentration used(50 mg/ml to 300 mg/ml ) while don’t have any effect against tested gram negative bacteria. In general, all concentration used given an effect on the gram positive bacteria only. The highest inhibition zone given by the high concentration of Ziziphus spina-cristi acetone extract 300 mg/ml on Bacillus cereus . While the lower inhibition zone given by third concentration 100 mg/ml against B.cereus. The results of the DPPH scavenging activity of methanol extract possess high antioxidant activity at different concentrations with IC50 value equal to 166.4698 ug / ml compared to the IC50 value of control sample (L-Ascorbic acid) that equal to 145.8838 ug / ml .
R&D OF THE KEK LINAC ACCELERATOR TUNING USING MACHINE LEARNING

We have developed a machine-learning-based operation tuning scheme for the KEK e-/e+ injector linac (Linac), to improve the injection efficiency. The tuning scheme is based on the various accelerator operation data (control parameters, monitoring data and environmental data) of Linac. For the studies, we use the accumulated Linac operation data from 2018 to 2021.In this paper, we show the results on our R&Ds of, 1. visualization of the accelerator parameters (~1000) based on the dimensionality reduction, and, 2. accelerator tuning using the deep neural network (DNN). In the latter R&D, estimation of the accelerator parameters using DNN, and the accelerator simulator based on the Generative Adversarial Network (GAN) have been studied.
The Dark Side of Political Connections in Access to Finance: Evidence from the Use of Trade Credit of Entrepreneurial Firms in China

: This paper studies the impact of political connections on firms’ informal financing activities. Using the data of listed entrepreneurial firms in China, we show that connected firms have a greater difficulty in obtaining trade credit, and incur a higher cost for obtained trade credit. We also find that connected firms have more interest-bearing notes payable and less interest-free accounts payable. Our results further suggest that the impact of political connections on trade credit becomes weaker when firms locate in regions with an effective legal system. Further studies indicate the lower credit reputation of connected firms stems from two channels: (1) they typically have a higher proportion of late payment of payables (more than one year) and overdue payment of payables (more than three years); (2) they are perceived as a special group protected by government and treated with regulatory favors, which creates more obstacles to the collection of trade credit through the legal system.
Quality assessment of meta-analyses on soil organic carbon

Abstract. Soil organic carbon (SOC) plays a vital role in the global carbon cycle and is a potential sink for carbon dioxide. Agricultural management practices can support carbon sequestration and, therefore, offer potential removal strategies whilst also improving overall soil quality. Meta-analysis allows one to summarize results from primary articles by calculating an overall effect size and to reveal the source of variation across studies. The number of meta-analyses published in the field of agriculture is continuously rising. At the same time, more and more articles refer to their synthesis work as a meta-analysis, despite applying less than rigorous methodologies. As a result, poor-quality meta-analyses are published and may lead to questionable conclusions and recommendations to scientists, policymakers, and farmers. This study aims at quantitatively analyzing 31 meta-analyses, published between the years of 2005 and 2020, studying the effects of different management practices on SOC. We compiled a set of quality criteria suitable for soil and agricultural sciences by adapting existing meta-analytical guidelines from other disciplines. The set is supported by a scoring scheme that allows for a quantitative analysis. The retrieved meta-analyses were structured according to 11 management categories, such as tillage, cover crops, crop residue management, and biochar application, which allowed us to assess the state of knowledge on these categories. Major deficiencies were found in the use of standard metrics for effect size calculation, independence of effect sizes, standard deviation extraction for each study, and study weighting by the inverse of variance. Only 1 out of 31 SOC meta-analyses, which studied the effects of no tillage/reduced tillage compared with conventional tillage, was found to be of high quality. Therefore, improved meta-analyses on the effects of organic agriculture, biochar, fertilization, or crop diversification on SOC are urgently needed. We conclude that, despite efforts over the last 15 years, the quality of meta-analyses on SOC research is still low. Thus, in order for the scientific community to provide high-quality synthesis work and to make advancements in the sustainable management of agricultural soils, we need to adapt rigorous methodologies of meta-analysis as quickly as possible.
STYLES OF COMMUNICATION AND MARITAL STABILITY OF MARRIED ADULTS IN OYO STATE, NIGERIA

The study examined the styles of communication and marital stability of married adults in Oyo State Nigeria. Six hundred married adults were randomly selected using the multi-stage sampling technique. The descriptive survey research design and a researcher constructed questionnaire were adopted. The findings revealed that there is positive significant relationship between the styles of communication and marital stability of the married adults. Furthermore, there is a significant difference in the styles of communication of married adults on gender basis. It was recommended that social institutions should endeavour to train young individuals the role of communication in stabilizing marriages.
Dialect in the City: Asymmetrical retention of traditional features of Gheg Albanian

This study explores how the phonological system of the Gheg dialect spoken in and around Tirana, the capital of Albania, has been affected in heterogenous and homogeneous communities as a result of language and urban planning policies during and post communism. Albanian is a lesser-studied language of the Indo-European family comprising two major dialects, Tosk and Gheg [1]. In 1972, a primarily Tosk-based standard variety (henceforth: the Standard) was introduced for use in education, writing, public speaking, and the media [2]. In addition, due to national policies of interregional allocation of the labor force in the context of industrial decentralization [3], major cities like Tirana experienced an influx of internal migrants from all around the country. Consequently, the Gheg dialect of the locally-born residents in Tirana was relegated to oral use in the private sphere and came to be in intense contact with Tosk and other varieties of the internal migrants. By contrast, nearby rural areas were virtually unaffected by internal migrations and speakers were exposed to the Standard mainly through education and the media. The issue to be considered here is the extent to which there is now divergence between city (Tirana) Gheg and rural Gheg as a consequence of intense pressure from the Standard and Tosk on the former, but not the latter [4]. To address this question, we selected two distinguishing features of Gheg: 1) morpho-phonological vocalic length contrasts present in Gheg, but not in Tosk/Standard [5], as in Example 1; 2) monophthongization in contexts where Tosk/Standard have phonological oppositions between diphthongs and monophthongs [6], as in Example 2. Two groups of Gheg speaking adults participated in this study: 14 city Gheg speakers living in Tirana and 8 rural Gheg speakers living in the nearby village of Bërzhitë.
C-band Scatterometer (CScat): the first global long-term satellite radar backscatter data set with a C-band signal dynamic

Satellite radar backscatter contains unique information on land surface moisture, vegetation features, and surface roughness, and can be acquired in all weather conditions, thus has been used in a range of earth science disciplines. However, there is no single global radar data set that spans more than two decades. This has limited the use of radar data for trend analysis 40 over extended time intervals. We here provide the first long-term (since 1992), high resolution (~8.9 km) satellite radar backscatter data set over global land areas, the C-band Scatterometer (CScat) data set, by fusing signals from European Remote Sensing satellite (ERS, 1992-2001, C-band, 5.3 GHz), Quick Scatterometer (QSCAT, 1999-2009, Ku-band, 13.4 GHz), and the Advanced Scatterometer (ASCAT, since 2007, C-band, 5.255 GHz). The six-year data gap between C-band ERS and ASCAT was filled out by modelling an equivalent C-band signal 45 during 1999-2009 from Ku-band QSCAT signals and climatic information. Towards this purpose, we first rescaled the signals from different sensors, pixel by pixel, using a new signal rescaling method that is robust to limited overlapping observations among sensors. We then corrected the monthly signal differences between the C-band and the scaled Ku-band signals, by modelling the signal differences from climatic variables (i.e., monthly precipitation, skin temperature, and snow depth) using decision tree regression. The quality of the merged radar signal was assessed by computing the Pearson r, Root Mean Square Error (RMSE), and relative RMSE (rRMSE) between the C-band and the corrected Ku-band signals in the overlapping (1999-2001 and We obtained high Pearson r values and low RMSE values at both the regional (r ≥ 0.93, RMSE ≤ 0.16, rRMSE ≤ 0.37) and pixel levels (median r across pixels ≥ 0.80, median RMSE ≤ 0.38, median rRMSE ≤ 0.64), suggesting high accuracy for the data merging procedure. quality of the merged radar signal. All 13 regions had a r value larger than 0.93, with a maximum of 0.99. We also obtained low RMSE values (from 0.03 to 0.16), even in regions with a large seasonal amplitude in radar signal, such as Siberia where the seasonal amplitude is around 3 dB but the RMSE is only 0.16. This result was further confirmed by the low rRMSE values obtained in all regions, which ranged from 0.09 to 0.37.
Photocatalytic degradation of methylene blue dye using metal doped TiO 2 under Visible Light Irradiation

The paper details with the preparation and physicochemical characterization of nano TiO 2 doped with Fe and Cu produced by the sol-gel method using titanium tetra-isopropoxide as the precursor of titania as well as iron or cupper nitrates as dopant sources. The synthesized samples were characterized using XRD, FT-IR, surface texturing, UV-visible and SEM techniques. The photocatalytic activity of the prepared samples was studied using the photocatalytic degradation of methylene blue dye (MB). The Fe-TiO 2 showed the best result as the total removal of the dye was 91.75 % at pH 7.5 at the dye concentration of 5 ppm for 3 h.
Methods and Techniques for Recommender Systems in Secure Software Engineering: A Literature Review

:- Recommender Systems are software tools that can assist developers with a wide range of activities, from reusing codes to suggest developers what to do during development of these systems. All recommender systems should exert one or three of future functionalities: Gathering Data and Creating Dataset, Static Analysis and Recommendation to user-by-user interface. In this paper, we have presented a literature review in the field of recommender systems. Papers are aggregating by their context in three main groups: Mechanism to Collect Data, Recommendation Engine to Analyze Data and Generate Recommendations and User Interface to Deliver Recommendations. In the conclusion are presented number of reviewed paper for each category.
Eco-innovation in the Built Environment: A Bibliometric and Systematic Literature Review

Eco-innovation is quickly gaining traction to achieve the goal of long-term sustainability in the built environment. This is due to its capacity to reduce the environmental impacts of our production modes, improve nature's resistance to environmental challenges, and achieve more efficient and responsible use of natural resources while building infrastructure. This study used bibliometric analysis and systematic literature review to assess current state research on eco-innovation in the built environment to identify established and emerging research subjects for future study. The systematic research review we used in our study has not been grasped or assessed by other researchers on this topic. Firstly, based on our methodology, the systematic review identified 84 publications raised from scientific journals, including literature from 2012. Twenty-six publications were used after inclusion criteria were followed. According to our findings, 2021 produced the most articles and citations. China is the leader in publications and citations, and eco-innovation research in the built environment can be classified into five clusters. The research identified various limits that may allow new academics and practitioners to investigate Eco-innovation in new ways. Because most practitioners and policymakers are unfamiliar with this form of research, many remain theatrical and conceptual. Instead of focusing solely on opinion, future studies should focus on practical applications.
Beamforming for novel matrix arrays: Fresnel Zone Beamforming and Stolt Migration

Currently a lot of effort is put into developing matrix arrays which allow for volumetric imaging and new applications. There are however multiple problems. Compared to arrays currently in use which have in the order of 128 elements, matrix arrays can easily contain 1000 to 10000 elements. If all elements would be connected independently, the cable would become very thick. Therefore, beamforming methods are required that can operate with fewer transmit and receive channels. Furthermore, the room for electronics on the chip is limited. So, the required electronics for the beamforming methods should be kept simple. In this thesis we will propose beamforming methods that are able to operate with fewer channels. This will be done separately for the transmit and receive part, but they do in no way exclude each other. To be able to focus pulsed waves in transmit we propose a method based on Fresnel zone plates which are used in optics to focus continuous wave light. Our method only requires a single continuous-wave excitation signal to be present, which is connected and disconnected on demand to each element. We have evaluated our method with measurements and simulations. As compared to the conventional focusing method, the spatial resolution is not affected by our method, but the Contrast-to-Noise ratio is 5\% lower for shallow depths and up to 20\% lower deeper into the medium. Overall though, the differences were relatively small and so it is clear that our new focusing method works very well. If needed, better results can be obtained by trading in frame rate. In this case the results are almost indistinguishable from the conventional focusing method. To solve the problem with image formation, we have developed a frequency domain two stage beamforming method for use with matrix arrays, which does not require all element data to be present. This has been done for two matrix types. For the first method we have confirmed with simulations that it performs similar to the respective results obtained with two 2D frequency domain two stage beamforming method that have already been experimentally verified. For the second method we have evaluated the performance with simulations and measurements. Our method was able to obtain a 25\% better spatial resolution as compared to Dynamic Receive Focusing(DRF), without additional artefacts. As an alternative to the last method, we have also developed a frequency domain beamforming method that does require all element data, but only requires a single insonification by a spherical wave. This method did perform worse than the method discussed before in both simulations and measurements, but it does outperform DRF applied to spherical wave data.
Detecting of foreign object debris on airfield pavement using convolution neural network

It is of great practical significance to detect foreign object debris (FOD) timely and accurately on the airfield pavement, because the FOD is a fatal threaten for runway safety in airport. In this paper, a new FOD detection framework based on Single Shot MultiBox Detector (SSD) is proposed. Two strategies include making the detection network lighter and using dilated convolution, which are proposed to better solve the FOD detection problem. The advantages mainly include: (i) the network structure becomes lighter to speed up detection task and enhance detection accuracy; (ii) dilated convolution is applied in network structure to handle smaller FOD. Thus, we get a faster and more accurate detection system.
Management of peripheral ossifying fibroma removal and repair: A clinical report

Introduction: Peripheral ossifying fibroma (POF) is a gingival lesion of a reactive nature, characterized as a fibrocellular hyperplastic mass with calcified foci. It represents 2–9% of all gingival lesions, and it is the third most common lesion of all localized reactive hyperplastic lesions. The present study describes a POF removal and repair with one year of follow-up. Case Report: The patient presented an increase in tissue volume in the papilla region between teeth 33 and 34, with no report of pain and with aesthetic impairment. Radiographically, no pathological changes were noted in bone and dental structures. Conclusion: The proposed treatments were excisional biopsy associated with a subepithelial connective tissue graft (SCTG) by tunnel technique. Histologically, it revealed the presence of parakeratinized stratified squamous epithelium overlying a fibrocellular connective tissue stroma, confirming the diagnosis of peripheral ossifying fibroma. The treatment was successful, guaranteeing patient aesthetic satisfaction after one year of follow-up. Management of peripheral ossifying fibroma removal and repair: A clinical report. J
Petrophysical properties evaluation using well logging of the upper sand member of Zubair Formation in Zubair oil Field, Southern Iraq.

The present study aims to determine the petrophysical properties into the upper sandstone member of Zubair Formation at Zubair oil Field by using interpretation a number of different borehole logs for the open wells (Zb-40, Zb 84, Zb-114, Zb-212, Zb-233). These Properties include shale volume (Vsh), effective porosity ( Øe ), water saturation (S W ), permeability(K) and Pore throat type classification R35.The petrophysical properties (Vsh) ,( Øe ) and (S W ) were drawn for each reservoir unit to determine the direction of the improvement of reservoir characteristics within the selected wells. Depending on gamma- ray log Zubair Formation with in the Zubair oil Field was divided into reservoir units (AB, DJ, and LN) and non-reservoir units (C, and k). The well Zb-84 revealed increases in Vsh was in all the units of Zubair Formation, while the decrease in Vsh in well Zb-114 were obtained in unites AB, and LN. The average of the effective porosity in well Zb-233 in all units was high while low values were obtained in well Zb-84 in unit AB, and LN. There is an increase in water saturation in well Zb-40 in the unit AB while the low values were recorded in well Zb-84 in unite DJ. The petrophysical analysis shows improved porosity and hydrocarbon saturation towards the northern part from studied oil mainly in the well (Zb-40) and the petrophysical characteristics were in unit LN. The dominate type of Pore throat type was between macro - mega pore and meso – mega pore types.
Service Home Identification of Multiple-Source IoT Applications in Edge Computing

The real-time communication requirement of the Internet of Things (IoT) applications promotes the convergence of IoT and Mobile Edge Computing (MEC). The MEC paradigm greatly shortens the IoT service delay by leveraging cloudlets (edge servers) of MEC in the proximity of IoT devices. Considering limited computing and storage resources in an MEC network, it is challenging to provide efficient IoT-enabled service provisioning in such a network. In this article, we study the service home identification problem of service provisioning for multi-source IoT applications in an MEC network, by identifying a service home (cloudlet) of each multi-source IoT application for its data processing, querying and storage. Each multi-source IoT application consists of multiple sources located at different geographical locations and each source uploads its data stream via a gateway (its nearby access point) to the MEC network and the uploaded data then is aggregated with the stream data of the other sources of the IoT application at the service home. We here focus on two novel service home identification problems: the service operational cost minimization problem with the aim to minimize the total service operational cost by admitting as many multi-source IoT applications as possible, and the online throughput maximization problem with the aim to maximize the number of multi-source IoT application requests admitted. We first show that both the problems are NP-hard. We then formulate an Integer Linear Programming (ILP) solution to the service operational cost minimization problem, and propose a randomized algorithm with high probability and a deterministic approximation algorithm respectively, at moderate resource capacity violations. We third develop an efficient heuristic algorithm for the problem without any resource violation. Furthermore, we deal with the online throughput maximization problem under an assumption that multi-source IoT application requests arrive one by one without the knowledge of future arrivals, for which we formulate an Integer Linear Programming (ILP) solution to its offline version, followed by devising an online algorithm with competitive ratio. We finally evaluate the performance of the proposed algorithms through experimental simulations. Simulation results demonstrate that the proposed algorithms are promising, and outperform their comparison counterparts.