Miracle-dz/UniFAR-FTUs huggingface dataset:
CROP ROTATION IN THESSALY: BIO-ECONOMIC MODELING FOR EFFICIENT FARM MANAGEMENT

This paper explores alternatives to cotton mono-culture in Thessaly, examining various rotations suitable to regional characteristics. Differ­ ent farm management practices are considered applied to two types of soil. Current practices as well as best management practices (BMP) are compared, based on biological growth model estimations. Economic performance and environmental effects such as water deficit due to ir­ rigation and nitrogen leaching are evaluated for a typical farm. Quan­ tification of trade-offs between economic and environmental objec­ tives, is attempted through bio-economic modeling. This approach can provide important information to farmers for selecting rotations and management practices but also to public decision makers for es­ tablishing agri-environmental measures. RESUME Cet article explore les alternatives a la monoculture du coton en Tbes­ salie, en examinant diverses rotations de cultures, adaptees aux ca­ ractbistiques regionales. Differentes pratiques de gestion d'exploita­ tion agricole sont considerees, app/iquees a deux types de sol. Les pra­ tiques courantes aussi bien que des Pratiques de Gestion Optimale sont comparees, sur la base d'estimations du modele biologique de crois­ sance de plantes. Les performances economiques ainsi que les effets en­ vironnementaux, concernant I 'irrigation et le lessivage de nitrates sont evalues pour I'exploitation de base. La quantification des arbitrages entre les objectifs economique et environnementaux est tentee a I'aide du modele bio-economique. Cette approcbe peut fournir des informa­ tions importantes aux agriculteurs, pour le cboix des rotations et des pratiques de gestion, mais egalement aux decideurs publiCS pour l'etablissement des mesures agro-environnementales.
Design of H-shaped MPA using Reptile Search Algorithm based Multilayer Perceptron Neural Network

In many applications such as aerospace systems, satellites, mobile radar, and other wireless applications, the Microstrip patch antenna (MPA) plays an important role due to its properties like lightweight, low cost of production, and compact structure. Low gain, narrow frequency bandwidth, and high return loss are the shortcomings in these existing MPA design approaches. Moreover, the developed models of the antenna are hard to design and larger size. The antenna's geometrical specifications should be optimized to address this problem. This proposed approach Reptile Search Algorithm (RSA) based Multilayer perceptron (MLP) neural network is employed to design the H-shaped antenna for Ku-band applications. The MLP neural network is employed to calculate the fitness value of the RSA. To train the MLP neural network by using MATLAB software. The experimental and simulation results of the proposed approach shows better performance with 8.89 dB gain, -33.06 dB return loss, and 1.07 VSWR.
A new key-gate insertion strategy for logic locking with high output corruption

— The outsourcing business model currently dominates the semiconductor industry. Ever-shrinking technologies have indeed raised the cost of manufacturing Integrated Circuits (ICs). Currently, constructing a fabrication plan with advanced technologies (5 nm to 3 nm) costs more than $10 Billions [1]. Therefore, outsourcing the fabrication process to offshore, but possibly unreliable, foundries has become a major trend [2]. This leads to possible security threats on hardware, such as IP piracy, Hardware Trojan insertion and IC overproduction [3]. Logic locking has emerged as a solution to protect ICs against overproduction – An untrusted foundry fabricating more ICs than the required/ordered number in order to sell the excess on the black market. Logic locking consists in modifying the circuit structure with additional logic gates, driven by an added input pin: a key with a secret value, required for the IC to function properly [4]. For the past decade, logic locking has garnered tremendous attention from the research community [5]. Early research in logic locking focused on solutions based on key-gate insertion. One of the main goals of these techniques was to attain significant output corruption, so that a locked IC is unusable. In 2015, an oracle guided attack broke all previously proposed solutions [6], by discovering the value of the secret key thanks to a SAT solver and comparison of the outputs with the ones of an unlocked IC (the oracle). Subsequent locking methods therefore focused on thwarting this so-called SAT attack, often to the detriment of output corruption [5]. The computation time of this type of attacks indeed increases as corruption decreases. Most recent solutions have recently begun to propose a satisfactory compromise between output corruption and protection against the attack, making gate insertion algorithms aimed at maximizing corruption interesting once again [7]. In
Adoption of Internet Banking: Extending the Role of Technology Acceptance Model (TAM) with E-Customer Service and Customer Satisfaction

: The global innovation of information and technology has reshaped the banking technology over the past decade. The high coverage of both internet network and internet finance development has facilitated Pakistan to become the most potential e-commerce region, yet seems to be limited growth in internet banking adoption in Pakistan. Therefore, this study has empirically investigated the technology acceptance model (TAM) with customer service and customer satisfaction and seeks the internet banking adoption issues in Pakistan. The survey was administered towards one of the conventional bank (HBL) in Pakistan. SEM was used to investigate both the hypothesis and path coefficient association among the constructs and their significance. The results of this study revealed that the adoption of internet banking in Pakistan could be motivated by perceived usefulness, perceived ease of use, customer service and customer satisfaction. Furthermore, customer satisfaction played a significant mediating role among proposed variables. The IPMA analysis revealed that in fostering of internet banking adoption, customer service is the most important factor. Finally, managerial implications, limitations and future research directions have been discussed.
The gene TaCB1 overcomes genotype dependency in wheat genetic transformation

Genotype dependency is the most important factor in wheat genetic transformation, which further limits wheat improvement by transgenic integration and genome editing approaches. The application of regeneration related genes during in vitro culture could potentially contribute to enhancement of plant transformation efficiency. In the present study, a wheat gene TaCB1 in the WUSCHEL family was identified to dramatically increase the transformation efficiencies of many wheat varieties without genotype dependency after its over-expression. The expression of TaCB1 in wheat calli did not prohibit shoot differentiation and root development. The application of TaCB1 can lighten the requirement to wheat immature embryo for plant regeneration. Transgenic wheat plants can be clearly recognized by the visible phenotype of wide flag leaves. The promise function of TaCB1 on improving transformation efficiency was also tested in T. monococcum, triticale, rye, barley, and maize.
Achievement Gaps and the Doubly Disadvantaged: The Achievement Gaps and the Doubly Disadvantaged: The Intersection of Socioeconomic Status and Race/Ethnicity on Math Intersection of Socioeconomic Status and Race/Ethnicity on Math and Reading Trajectories and Reading Trajectories

Numerous studies have examined both the income and race/ethnic achievement gaps. These gaps are particularly striking in the case of minority children, who are more likely than their non-Hispanic white counterparts to be living in poverty. This overlap in achievement gaps makes it difficult to clearly identify the most disadvantaged children. Using two designations in No Child Left Behind (NCLB), socioeconomic status and race/ethnicity, this study examines math and reading trajectories as children move through elementary school. Applying multilevel growth curves to four waves of the Early Childhood Longitudinal Study, Kindergarten Class of 1998-99, I examine the intersection of children’s income status and race/ethnicity on their achievement trajectories. My findings show children who are doubly disadvantaged --both poor and minority--have the worst outcomes. However, non-Hispanic white children who are identified as the most economically disadvantaged have better outcomes than some of their same race peers. These findings point to the importance of examining the intersection of children’s socioeconomic status and race/ethnicity as it relates to achievement outcomes over time. Pinpointing who are the most “at risk” children within and/or across socioeconomic status and race/ethnicity can lead to targeted policy intervention ensuring these children are served.
The breaking of a single asperity: Analysis of an aftershock of the 1975 Oroville, California, earthquake

Abstract Accelerations and acceleration envelopes of S waves from a small ( M L = 3.6) aftershock of the 1975 Oroville, California, earthquake have been interpreted using a dynamic model of the failure of a single, isolated asperity on a fault plane. It is shown that the distinctive characteristics of the asperity radiation are a prolonged, emergent onset followed by a two-sided acceleration pulse. This energetic pulse is radiated at the completion of failure of the asperity. Our purpose is to demonstrate the characteristics of asperity radiation using a specific event as an example rather than a trial and error modeling of this event.
L1Hs and MPP8 Genes Expression Correlation with Several Types of Carcinoma Tumors

L1Hs is a major player in genome evolution and genetic variability. Aberrant activity of L1Hs element is common in several human cancers. It's specific function is poorly characterized epigenetic regulation via human silencing Hub (HUSH) complex is critical to inhibit L1Hs activity. MPP8 is a subunit of HUSH complex and recently it has been suggested to inhibit L1Hs elements transcription. Thus, this assay was aimed to assess the expression level of L1Hs and MPP8 genes in cancer whole blood samples and healthy group utilizing qPCR assay. Generally, L1Hs gene significantly up regulated two times in patients' blood samples compared with healthy group. MPP8 gene up regulated approximately two times in cancer samples compared with healthy group. Testes, prostate, colon and cervical cancers were significantly expressed L1Hs more than MPP8 expression. While there is no significant differ in expression level of MPP8 and L1Hs genes in breast, bladder and ovary cancers.
Predictive value of serum YKL-40 for major adverse cardiovascular events within 30 days after PCI for acute ST-segment elevation myocardial infarction

Background This study aimed to investigate the predictive value of serum YKL-40 for major adverse cardiovascular events within 30 days after PCI for acute ST-segment elevation myocardial infarction (STEMI). Methods In this study, 120 patients with STEMI admitted to the Second People's Hospital of Hefei from October 2020 to February 2022 were included. All patients received cubital venous blood sampling before PCI to detect serum YKL-40 concentration. Patients were followed up for 30 days after PCI and divided into the MACE group (n = 27) and Non-MACE group (n = 93) according to whether MACE occurred. Univariate and multivariate Cox regression analysis was used to analyze the effect of serum YKL-40 on MACE within 30 days after PCI in STEMI patients. The predictive value of serum YKL-40 for the occurrence of MACE within 30 days after PCI in patients with STEMI was assessed by plotting receiver operating characteristic (ROC) curves. Kaplan-Meier method was used to plot the survival curve of MACE occurring 30 days after PCI in STEMI patients. Results Serum YKL-40 levels were higher in patients in the MACE group than in patients in the Non-MACE group (1431.08±445.31 vs 1028.28±558.47 ng/dL, P < 0.05); Multivariate Cox regression analysis showed that serum YKL-40 was an independent risk factor for MACE events within 30 days after PCI in STEMI patients (OR = 1.002, 95% CI 1.001 – 1.002, P = 0.003); ROC curve analysis showed that the area under the curve (AUC) of serum YKL-40 was 0.768, the sensitivity was 0.741, the speci�city was 0.763, and the optimal cutoff value was 1383.91 ng/dL in predicting the risk of MACE events within 30 days after PCI in STEMI patients; Kaplan-Meier survival curve analysis showed that the MACE-free survival rate at 30 days after PCI decreased with increasing serum YKL-40 levels in STEMI patients (Log-Rank P = 0.011).
Risk assessment through evaluation of potentially toxic metals in the surface soils of the Qassim area, Central Saudi Arabia

Metal pollution is an increasing environmental problem worldwide, especially in regions undergoing rapid development. The present work highlights the extent of metal pollution in the central part of Saudi Arabia, which is currently experiencing significant agricultural development. The study determined concentrations of Hg, Cd, Zn, As, Mo, Cu, Pb and Cr in surface soils, assessing the level of pollution and potential ecological risks using soil quality guidelines, the geo-accumulation index (Igeo), the Hakanson potential ecological risk index (RI) and standard statistical analysis methods. Overall, the mean potential ecological risk values of metals in the surveyed soils display the following decreasing trend: Hg>Cd>Pb>As>Cu>Zn>Mo>Cr. The potential ecological risks associated with the eight investigated metals in the study area were high for Hg and Cd, and ranged from considerable too low for the rest of the analysed metals. The results also showed that surface soils in the study area are heavily affected by agricultural activities, municipal waste, local industries and quarries. These anthropogenic activities may, therefore, pose a risk to soil and water resources, and have the potential to change the physiochemical characteristics of the associated ecosystem.
The Anti-Corruption Crusade and the Fight against Insurgency in Nigeria

Nigeria, the apparent success so far recorded in the fight I against insurgency may be attributable to the anti-corruption crusade embarked upon by the current federal government. This paper examined the effect of the anti-corruption crusade on the fight against insurgency in Nigeria. Data was obtained from secondary materials which include-books, journals, periodicals the internet, etc. The theory of anti-corruption by Bo Rothstein (2007) was adopted as the theoretical framework while the analysis of data was done by content analysis. The investigation revealed that in the past, corruption led to a situation where soldiers were not adequately equipped to tackle the scourge. It also revealed that the situation changed as the anti-corruption war paved the way to proper equipment/arming of soldiers which is now paying off as the heat turned on the insurgents. This paper commended and recommended the sustenance of the tempo of the war against corruption and that of insurgency.
Validating and Updating GRASP: A New Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools

Background: When selecting predictive tools, for implementation in clinical practice or for recommendation in guidelines, clinicians are challenged with an overwhelming and ever-growing number of tools. Many of these have never been implemented or evaluated for comparative effectiveness. The authors developed an evidence-based framework for grading and assessment of predictive tools (GRASP), based on critical appraisal of published evidence. The objective of this study is to validate, update GRASP, and evaluate its reliability. Methods: We aimed at validating and updating GRASP through surveying a wide international group of experts then evaluating GRASP reliability. Results: Out of 882 invited experts, 81 valid responses were received. Experts overall strongly agreed to GRASP evaluation criteria of predictive tools (4.35/5). Experts strongly agreed to six criteria; predictive performance (4.87/5), predictive performance levels (4.44/5), usability (4.68/5), potential effect (4.61/5), post-implementation impact (4.78/5) and evidence direction (4.26/5). Experts somewhat agreed to one criterion; post-implementation impact levels (4.16/5). Experts were neutral about one criterion; usability is higher than potential effect (2.97/5). Experts also provided recommendations to six open-ended questions regarding adding, removing or changing evaluation criteria. The GRASP concept and its detailed report were updated then the interrater reliability of GRASP was tested and found to be reliable. Discussion and Conclusion: The GRASP framework grades predictive tools based on the critical appraisal of the published evidence across three dimensions: 1) Phase of evaluation; 2) Level of evidence; and 3) Direction of evidence. The final grade of a tool is based on the highest phase of evaluation, supported by the highest level of positive evidence, or mixed evidence that supports positive conclusion.
Determinants of cervical Chlamydia trachomatis infection in Italy

Objective-to analyse the prevalence of cervical chlamydia infection and its determinants in an Italian population of women attending outpatients services for contraceptive counselling or routine gynaecological examination. Methods-between November 1989 and November 1990 we conducted a cross-sectional study on the prevalence of cervical Chlamydia trachomatis
Use of Archive Aerial Photography for Monitoring Black Mangrove Populations

Abstract A study was conducted on the South Texas Gulf Coast to evaluate archive aerial color-infrared (CIR) photography combined with supervised image analysis techniques to quantify changes in black mangrove [Avicennia germinans (L.) L. ] populations over a 26-year period. Archive CIR film from two study sites (sites 1 and 2) was studied. Photographs of site 1 from 1976, 1988, and 2002 showed that black mangrove populations made up 16.2%, 21.1%, and 29.4% of the study site, respectively. Photographs of site 2 from 1976 and 2002 showed that black mangrove populations made up 0.4% and 2.7% of the study site, respectively. Over the 26-year period, black mangrove had increases in cover of 77% and 467% on sites 1 and 2, respectively. These results indicate that aerial photographs coupled with image analysis techniques can be useful tools to monitor and quantify black mangrove populations over time.
Learning to Recover 3D Human Pose from Silhouettes

We will describe our ongoing work on learning-based methods for recovering 3D human body pose and motion from single images and from monocular image sequences. The methods work directly with raw image observations and require neither an explicit 3D body model nor a prior labelling of body parts in the image. Instead, they recover the body pose or motion by direct nonlinear regression against shape descriptors extracted automatically from image silhouettes or contours. For improved resistance to segmentation errors and occlusions, we use a robust shape representation: histograms of locally-supported shape-contexts descriptors. The image description is thus related to (generalized / robustiﬁed versions of) Brand’s ‘Shadow Puppetry’ [1], Mori & Malik’s shape context method [2] and Shakhnarovich et al ’s contour based method [3]. We regress the current pose (body joint angles) against both silhouette shape and (in the tracking-based schemes) the previous 1–2 poses. The regression is nontrivial owing to high dimensionality, sparse training data, and the fact that recovering pose from monocular image observations is inherently multi-valued owing to pervasive kinematic ambiguities. For tracking, we evaluated several different regression dependency structures designed to reduce these reconstruction ambiguities while capturing the dynamics, observations and the correcting effect of observation updates (all nonlinear and unknown a priori). We tested a number of different regression methods on these problems, including regularized least squares, Support Vector Regression and Relevance Vector Machine (RVM) regression [4], over both linear and kernel bases. In general the kernelized methods do best and the RVM framework provides much sparser regressors without compromising performance. But linear least squares (over our very nonlinear shape description) also performs surprisingly well. If time permits, we will also sketch our novel scalable continuation-based RVM training algorithm. The methods are trained using real human motion capture data, to ensure that they capture both the global structure and the ﬁne details of human motion. However to improve model coverage and make the most of the limited amount of training data available, we currently re-synthesize the corresponding training images from a range of different viewpoints. We have tested our models both quantitatively on independently captured test sequences and qualitatively on videos of typical human motions. On the test sequences, we are currently getting mean angular errors of about 6–7 degrees — a factor of about 3 better than the current state of the art for the much simpler upper-body-only problem.
Mobile Phone Use for Health Information Access Among Pregnant Women

regnancy is a sensitive period in a woman's life which affect their health P status. Pregnant women need health information to be able to take informed decisions about their health. The arrival of mobile phone has given birth to faster and easier access to up to date health related information. The aim of this study is to examine the extent of mobile phone use for health information access among pregnant women in Ekiti State, Nigeria. The study adopted the survey research design. Two hospitals were chosen using purposive sampling from each of the three senatorial districts in the state. Non probability sampling (convenient sampling) was used to select 768 pregnant women during their visits to antenatal clinics. A validated structured questionnaire was used to collect data. Data collected were analyzed using descriptive statistics. Findings revealed that the pregnant women in Ekiti State highly use mobile phone for health information access. The study recommended the need for health providers to further engage pregnant women by making health information available to them using mobile phone.