Miracle-dz/UniFAR-FTUs huggingface dataset:
MODELAGEM DA DINÂMICA DA ÁGUA EM SISTEMAS DE PREPARO DE UM LATOSSOLO VERMELHO

A dinâmica da agua no solo e um dos principais fatores que determinam o potencial produtivo das culturas agricolas e uma ferramenta importante para a modelagem do fluxo de agua no solo e o modelo agrohidrologico Soil Water Atmosphere Plant (SWAP). Nesse sentido, objetivou-se utilizar esse modelo na modelagem da dinâmica da agua em um Latossolo Vermelho Distroferrico com sistemas de preparo do solo de longo prazo. O fluxo de agua no solo foi simulado diariamente na camada de 0,0-0,50 m em tres sistemas de preparo do solo (plantio direto, preparo reduzido com escarificacao anual e preparo convencional). Foram utilizados dados agrometeorologicos do periodo de 01/2001 a 11/2013 para o fluxo de agua no solo. A fracao da agua disponivel foi influenciada pelo sistema de preparo do solo. O preparo convencional incrementou os periodos com baixa disponibilidade hidrica as culturas. Ao longo do tempo, houve adequada disponibilidade hidrica tanto no plantio direto quanto no preparo reduzido. No plantio direto ocorreram as menores taxas de escoamento superficial, favorecendo aumentos no armazenamento de agua e drenagem profunda. O preparo convencional favoreceu o aumento das taxas de escoamento superficial e a reducao da percolacao profunda de agua no solo, reduzindo a fracao da agua disponivel e incrementando os dias com que o conteudo de agua do solo ficou abaixo da fracao critica de agua disponivel de 0,5. O modelo SWAP foi eficiente para simular o fluxo de agua em sistemas de preparo neste Latossolo Vermelho. Sistemas conservacionistas de longo prazo preservam a estrutura do solo para a melhoria do fluxo de agua.
Production of Rhamnolipids by Pseudomonas aeruginosa HB6 (39) Isolated from Petroleum-Hydrocarbon Contaminated Environment

The current study evaluated hydrocarbon-degrading and biosurfactant-producing potentials of bacteria isolated from hydrocarbon contaminated soil in Nigeria, the largest crude oil reservoir in Africa. Pure bacterial isolates were grown on nutrient and Bushnell Haas agar. Bacterial isolates that grew on both media were molecularly identified via 16S rDNA sequence. Biosurfactant production detection was carried out via oil spread test, drop collapse test and surface tension measurement. The bacterial isolate with the lowest surface tension value was used for further studies. The growth of the selected isolate was measured using Spectroscopic technique, while the production of biosurfactants in the culture supernatant were determined by the measurement of surface tension, and the extracted surfactants were characterized by High Performance Liquid Chromatography-Mass Spectrometry (HPLC-MS). The colony forming unit on nutrient agar ranged from 1.35 x 108 to 1.93 x 108 cfu/g while the colony forming unit on Bushnell Haas agar ranged from 9.33 x 105 to 1.84 x 106 cfu/g. The bacterial species belonged to three genera including Bacillus, Cellulosimicrobium and Pseudomonas. P. aeruginosa HB6 (39) with accession number MW367569.1 had the lowest surface tension value (33.77±0.12a) indicating that it was the best biosurfactant producer. The test isolate attained early stationary phase at 10h and the cell-free supernatant showed excellent surface tension reduction potential. The extracted biosurfactant contained ample mono and di-rhamnolipid congeners. P. aeruginosa HB6 (39) is a potential bioremediation agent and can also be used for large scale production of rhamnolipids for other industrial applications.
Suppressing the crosstalk between racetrack resonators by grating assisted couplers for WDM sensing

We proposed a uniform racetrack resonators based sensor for bio-chemical WDM sensing. The sensing channels are assigned by grating assisted contra-directional couplers. Each resonator only occupies one sensing channel. The crosstalk between sensing channels can be suppressed by aligning the center coupling wavelength of one resonator with the weak coupling wavelength of the others. Based on the simulation results obtained from transfer matrix method, the sensing channel gap can be reduced down to 2 FSRs (∼1.5 nm) of the resonator. The total crosstalk can be as low as 2.5 × 10−2 dB in a sensor with 23 channels covering the whole C band. This sensor with high throughput will be very important for analyzing a wide range of analytes, such as organic compounds or biological materials.
Effect of animal manure application on sustainable potato production and soil structure management

Historically animal manure has been the most valuable and accessible source of plant nutrients across the globe. Potato is worldwide important food, feed and industrial crop with the highest provision of calories, vitamins and nutrients compared to other crops. The aim of the review is therefore to assess the current state of knowledge about the effects of the use of animal manure on sustainable potato production and soil structure. It also briefly discusses the results of research on the benefits of animal manure on the physical properties of soil and the general management of soil health. The overview of sustainable crop production, types and profiles of animal manure, their benefits on the soil structure enhancement and potato yield increment have been briefly reviewed. Many literatures have narrated that animal manure could boost the productivity and yield of potato in the different parts of the world either solely or in combination with inorganic fertilizers. Similarly, facts have been unfolded about the merits of animal manure on the improvement of soil physical properties which in turn improves the agronomic and ecological services of the soil. Misuses of animal manure can lead to possible contamination of the water bodies and the atmosphere. It has been suggested that the application of manure at the right time right dose, either solely or in combination with inorganic fertilizers, are thought to alleviate related challenges while sustaining potato production.
Experiences of Early and Enhanced Clinical Exposure for Postgraduate Neonatal Nursing Students at the University of Zambia, School of Nursing Sciences: Lessons and Implications for the Future

Background and Objectives: Early and Enhanced Clinical Exposure immediately places postgraduate students in a clinical setting and incorporates continual hands-on instruction throughout their studies. It aims to motivate students by strengthening their academics, improving clinical and communication skills, and increasing their confidence. The underlying principles are to provide a clinical context and to ensure that the patient remains the centre of learning. The School of Nursing Sciences implemented this model in 2021 to produce hands-on Masters-level neonatal practitioners who can work in multidisciplinary clinical contexts. Therefore, this study explored the experiences of postgraduate nursing students on the Early and Enhanced Clinical Exposure model and draw implications for the future. Methods: A phenomenological study design was utilized at the University of Zambia, School of Nursing Sciences and comprised of eight Master of Science Neonatal Nursing students in their second year. Convenience sampling was used to select the study site and participants. Data was collected between 15th January 2023 and 31st January 2023 using an in-depth interview guide. Audio recording and notes were transcribed immediately after data collection. Data analysis was conducted using thematic analysis and codes and themes were constructed from the coded data. Ethical clearance and permission were sought before conducting the study. Results: Four major themes emerged from the study: identity and role confusion, challenging and hectic experiences, positive educational experiences, and personal and professional growth. These themes contributed to the promotion of evidence-based practice by helping students to assess, diagnose, and treat various conditions, as well as gain interest, experience, knowledge, and exposure. Conclusion: The model has a significant impact on motivation to learn, as evidenced by reported increased skill level with potential for use in clinical practice. It is recommended that it be implemented in all postgraduate programs for full-time students.
Impact ionisation in Al0.9Ga0.1As0.08Sb0.92 for Sb-based avalanche photodiodes

We report the impact ionisation coefficients of the quaternary alloy Al0.9Ga0. 1As0.08Sb0. 92 lattice matched to GaSb substrates within the field range of 150 to 550 kV cm−1 using p-i-n and n-i-p diodes of various intrinsic thicknesses. The coefficients were found with an evolutionary fitting algorithm using a non-local recurrence based multiplication model and a variable electric field profile. These coefficients indicate that an avalanche photodiode not only can be designed to be a function in the mid-wave infrared but also can be operated at lower voltages. This is due to the high magnitude of the impact ionisation coefficients at relatively low fields compared to other III–V materials typically used in avalanche multiplication regions.
Behavioral changes in FPR2/ALX and Chemr23 receptor knockout mice are exacerbated by prenatal alcohol exposure

Introduction Prenatal alcohol exposure (PAE) causes neuroinflammation that may contribute to the pathophysiology underlying Fetal Alcohol Spectrum Disorder. Supplementation with omega-3 polyunsaturated fatty acids (PUFAs) has shown success in mitigating effects of PAE in animal models, however, the underlying mechanisms are unknown. Some PUFA metabolites, specialized pro-resolving mediators (SPMs), play a role in the resolution phase of inflammation, and receptors for these are in the brain. Methods To test the hypothesis that the SPM receptors FPR2 and ChemR23 play a role in PAE-induced behavioral deficits, we exposed pregnant wild-type (WT) and knockout (KO) mice to alcohol in late gestation and behaviorally tested male and female offspring as adolescents and young adults. Results Maternal and fetal outcomes were not different among genotypes, however, growth and behavioral phenotypes in the offspring did differ and the effects of PAE were unique to each line. In the absence of PAE, ChemR23 KO animals showed decreased anxiety-like behavior on the elevated plus maze and FPR2 KO had poor grip strength and low activity compared to age-matched WT mice. WT mice showed improved performance on fear conditioning between adolescence and young adulthood, this was not seen in either KO. Discussion This PAE model has subtle effects on WT behavior with lower activity levels in young adults, decreased grip strength in males between test ages, and decreased response to the fear cue indicating an effect of alcohol exposure on learning. The PAE-mediated decreased response to the fear cue was also seen in ChemR23 KO but not FPR2 KO mice, and PAE worsened performance of adolescent FPR2 KO mice on grip strength and activity. Collectively, these findings provide mechanistic insight into how PUFAs could act to attenuate cognitive impairments caused by PAE.
The registration of non-cooperative moving targets laser point cloud in different view point

Non-cooperative moving target multi-view cloud registration is the key technology of 3D reconstruction of laser threedimension imaging. The main problem is that the density changes greatly and noise exists under different acquisition conditions of point cloud. In this paper, firstly, the feature descriptor is used to find the most similar point cloud, and then based on the registration algorithm of region segmentation, the geometric structure of the point is extracted by the geometric similarity between point and point, The point cloud is divided into regions based on spectral clustering, feature descriptors are created for each region, searching to find the most similar regions in the most similar point of view cloud, and then aligning the pair of point clouds by aligning their minimum bounding boxes. Repeat the above steps again until registration of all point clouds is completed. Experiments show that this method is insensitive to the density of point clouds and performs well on the noise of laser three-dimension imaging.
Performance Evaluation of Mutual Funds Using Risk Return Relationship Models - An Empirical Study

Purpose: The main purpose of this study is to analyse the performance of mutual funds using Risk- Return Relationship Models. Theoretical framework: One of India's most important financial intermediaries, mutual funds can provide a wide range of financial services to small and large investors. They are also involved in the country's transformation, and their market participation has become more important. Evaluating a mutual fund's performance concerns investors, researchers, and fund managers. It should be conducted in a way that helps investors make informed decisions and maximize returns. A regular evaluation of a fund's performance is also essential for investors. Design/methodology/approach: The performance of 12 growth-oriented mutual funds has been evaluated using three Risk Adjusted performance measures, namely the Treynor index, Sharpe index, and Jensen measure. Treynor Index, developed by Treynor and Mazuy (1966), defined the measure as the ratio of returns to systematic Risk (Beta). The higher the ratio better the performance. Sharpe Index, developed by Sharpe (1964) defined as the ratio of returns to the variability of returns. Jensen's measure (Jensen 1968) regresses excess fund return with the excess market return. Monthly data was used during the period from Jan 2015 to Dec 2019. Further monthly returns of 12 diversified Equity mutual funds were compared with the returns of the B.S.E. ( Bombay Stock Exchange) national index during the same period. Findings: It is identified from the results that the mutual funds have not performed better than their benchmark indicators except the ICICI Multi-asset fund and HDFC mid-cap opportunity fund in terms of a non-risk adjusted measure of the average returns as well as in terms of Risk-adjusted performance measures. Research, Practical & Social implications: Fund houses, Fund managers, researchers, and mutual fund investors can benefit more from a strong risk management foundation. It can help them make informed decisions and maximize their returns. Originality/value: This study differs from past studies because it examined the risk-adjusted performance of a few mutual funds, which ultimately may use by investors and policymakers to enhance the returns in these funds.
Adhesive capsulitis and its homoeopathic management

The shoulder is a unique anatomical structure with an extraordinary range of motion that allows us to perform wide variety of movements with great ease. A loss of mobility of the glenohumeral joint causes immense discomfort. Adhesive capsulitis is a poorly understood musculoskeletal condition related with the glenohumeral articulation that has a disabling capability. This review discusses the etiology, pathology, clinical manifestations and the role of homoeopathic medicines in the management of this condition that causes significant morbidity.
Symmetry-enriched topological states of matter in insulators and semimetals

The electronic structure of iron pnictides is topologically nontrivial, leading to the appearance of Dirac cones in the band structure for the antiferromagnetic phase. Motivated by the analogy with Dirac cones in graphene, we explore the possible existence of topologically protected surface states. Surprisingly, bands of surface states exist even in the paramagnetic state. A realistic five-orbital model predicts two such bands. In the antiferromagnetic phase, these surface bands survive but split. We obtain the bulk and surface dispersion from exact diagonalization of twoand five-orbital models in a strip geometry and discuss the results based on topology. This publication has not been included in this dissertation.
The Impact of Channel Estimation on the Number of Active User with Rayleigh Fading Broadcast Channels

‎It has already been shown that in rate-constrained broadcast channels‎, ‎under the assumption of independent Rayleigh fading channels for different receivers‎, ‎the user capacity (i.e‎. ‎the maximum number of users that can be activated simultaneously) scales with $\ln (P \ln n)/R_{\min}$ where $P$ is transmit power‎, ‎$R_{\min}$ represents the minimum rate required for each receiver to be activated‎, ‎and $n$ denotes the total number of receivers in the system‎. ‎However‎, ‎to achieve the aforementioned result‎, ‎it is assumed that channel state information (CSI) is perfectly known to the receivers‎. ‎In practical situations‎, ‎the receivers do not have access to the true CSI and they only know estimated channels‎. ‎In this paper‎, ‎the effects of channel estimation is analyzed on the user capacity of rate-constrained broadcast channels‎. ‎In particular‎, ‎the Minimum Mean Square Error (MMSE) channel estimation scheme is considered and the effects of this estimation method on the user capacity is investigated‎. ‎Under the assumption of independent Rayleigh fading channels for different receivers‎, ‎it is shown that the user capacity scales with $\ln (\hat{\sigma}^2 P \ln n)/R_{\min}$ where $\hat{\sigma}^2$ denotes the variance of estimated channels and is determined by the MMSE channel estimation algorithm‎. ‎As the received signal model is linear with respect to the fading channels‎, ‎it is shown that the user capacity scaling law is unchanged and the difference is only a constant factor depending on the channel estimation scheme‎.
Efecto de la exposición prenatal al ácido valproico sobre la expresión del receptor a andrógenos en el cerebelo en desarrollo de la rata wistar

El trastorno autista se caracteriza por alteraciones a diferentes niveles afectando mas a varones que a mujeres en una proporcion de 4:1. En terminos neuroanatomicos, el cerebelo es una estructura del sistema nervioso central (SNC) comunmente alterada en los sujetos autistas. Su alteracion principal radica en la disminucion del numero de neuronas de Purkinje, de la cual se desconoce la o las causas que la provocan. En este sentido, el uso del acido valproico (AVP) como teratogeno, replica la disminucion del numero de neuronas de Purkinje en la rata de laboratorio; proporcionando una herramienta experimental para estudiar dicha patologia cerebelar. Las neuronas de Purkinje representan la unica salida de la informacion del cerebelo y son consideradas como el mayor sitio de sintesis de neuroesteroides, como los androgenos y su receptor intracelular, cuyo papel durante el desarrollo del cerebelo sigue sin establecerse; aunque puede estar involucrado en procesos de neuroplasticidad. Por consiguiente, el objetivo de este estudio fue determinar la expresion del receptor a androgenos (RA) en el cerebelo de ratas expuestas prenatalmente al AVP.
Federated Condition Monitoring Signal Prediction With Improved Generalization

Revolutionary advances in Internet of Things technologies have paved the way for a significant increase in computational resources at edge devices that collect condition monitoring (CM) data. This poses a significant opportunity for federated analytics (FA), which exploits edge computing resources to distribute model learning, reduce communication traffic, and circumvent the need to share raw data. In this article, we study CM signal prediction where operating units that have data storage and computational capabilities jointly learn models without sharing their collected CM signals. The key challenge we aim to address is learning effective FA models in the presence of heterogeneity, which is often intrinsic to CM signals. To this end, we first introduce a federated framework for CM signal prediction that tries to improve generalization by encouraging flat solutions through distributed computations. Then, a personalization approach is proposed to adapt the learned model to new clients without losing old knowledge. We examine our proposed framework on CM signals from aircraft turbofan engines under three realistic federated CM scenarios. Experimental results highlight the capability of our model to decentralize model inference while improving generalization and robustness to heterogeneity across CM signals.
Assessing the impact of heavy metals and antibiotics on bacterial isolates from wastewater treatment plant

The microorganisms isolated from water samples at the wastewater treatment facility Kruševac (Serbia) were screened for resistance to heavy metals and antibiotics. Isolates were identified using morphological and biochemical tests, as well as MALDI-TOF. The resistance to heavy metals was evaluated by determining the minimal inhibitory concentration (MIC) and the minimal microbicidal concentration (MMC) using the microdilution method. The minimal inhibitory concentration and disc diffusion methods were used to assess antibiotic resistance. Isolates were identified as Morganella morganii PMFKG-K1, Klebsiella oxytoca PMFKG-K2, K. oxytoca PMFKG-K3, K. oxytoca PMFKG-K4, Serratia liquefaciens PMFKG-K5, S. liquefaciens PMFKG-K6, Escherichia coli PMFKG-K7, and Bacillus cereus PMFKG-K8. The obtained results indicated that most isolates in planktonic form showed resistance in the presence of heavy metals such as Pb2+ , Zn 2+ , Cu2+ , and Mn2+ , but showed sensitivity in the presence of Cd2+ , Hg2+ , and Cr6+ and antibiotics. All isolates exhibited desirable characteristics for potential use in bioremediation.
An Accessional Signature Scheme With Unmalleable Transaction Implementation to Securely Redeem Cryptocurrencies

The surging interest in cryptocurrency has revitalized the research for digital signature schemes with strong security. In particular, signature schemes are investigated to resist the malleability attacks in cryptocurrency platforms. However, existing signature schemes only conquer partial malleability attacks due to various sources of attacks. Other solutions of new transaction realizations cannot simultaneously avoid the malleability attacks on both standard and contract transactions. Furthermore, the malleability attack becomes more stubborn in fast clearing applications. In this paper, we propose SigNT, an accessional signature scheme with unmalleable transaction implementations. The key of SigNT is an improved interactive signature scheme for securely instant confirmation of transactions. Unlike standard signatures, this signature is generated by the owner and block producers. Combining it with several other optimizations (i.e., hash execution of intermediate transactions and secret-based claiming conditions), SigNT achieves complete resistance against malleability attacks in both the standard and contract transactions. As an example, we show an implementation in Bitcoin with the “providing a deposit” protocol. The security analysis and comparative experiments demonstrate that SigNT has the best resistance against malleability attacks than previous malleability solutions. Besides, better performance is achieved than other schemes.