Miracle-dz/UniFAR-FTUs huggingface dataset:
FORMAL ARCHITECUTRAL SPECIFICATION AND VERIFICATION OF A COMPLEX SOC

Introduction: We are presenting a formal verification effort of a complex SOC architectural and microarchitectural specification. We started with an architectural specification in a tabular format. These architectural tables define high-level design behavior using finite state machines models. These tables also contain information for the microarchitecture actions. We first identified the different roles that can be played by the different components of the architecture and divided the architectural tables into sub-tables according to this analysis. We then identified the messages passed around among the components and defined the message channels accordingly. Finally, we figured out microarchitecture steps needed to implement each role for each sub-table transition. We created a verifiable, formal verification environment based upon these findings with the following challenges: 1) ensure that all the tables’ transitions are reachable, 2) ensure that all design specific properties were passing, and 3) ensure that all the functional sequences were executable. Tens of architectural and microarchitecture bugs were found and fixed. This work builds upon earlier reported works [2, 3, 4]. The innovations reported in this paper are: 1) Implementation of the micro-steps for verification of the microarchitecture. 2) Implementation of the macro-steps for verification of the multicycle operations. 3) Automatic stimuli generation. 4) Sequence coverage simplification and debug acceleration using unique identifiers.
Can Green Innovation Affect ESG Ratings and Financial Performance? Evidence from Chinese GEM Listed Companies

Socially and environmentally responsible investing is becoming the benchmark in financial markets. Promoting emerging industries’ environmental performance, social responsibility, and corporate governance (ESG) ratings are increasingly becoming the consensus of multinational green financial institutions, investors, and governments. This study employs 3100 panel data from 2014 to 2019 to conduct empirical research on green innovation, ESG indicators, and the financial performance of China’s Growth Enterprise Market (GEM) listed companies. Based on the “causal steps approach”, we adopt the Sobel–goodman and Bootstrap test to explore the partial mediation effect of ESG indicators. Moreover, when testing the interactive effect of endogeneity, instrumental variables combined with two-stage least squares (2SLS) and a general method of moments (GMM) system are applied in the dynamic panel for robustness. Combing with the approach of ESG factors-integrated and ESG factors-embedded regression models, we find that: (1) Green innovation can significantly improve the ESG scores of GEM listed companies. (2) Both green innovation and ESG performance can improve the financial performances of GEM listed companies, and ESG performance plays an indirect mediating role in the promotion of green innovation on financial performance. (3) Both political connection strength and regional innovation capabilities can negatively moderate the promotion of green innovation on financial performance, and moderating the effect of corporate political connections is more significant than the regional innovation. This study expands the research on the effectiveness of ESG indices and green innovation from the view of micro-GEM companies, providing policy enlightenment for the sustainable development of emerging industries. Our findings provide noteworthy implications for regulators, academicians and practitioners interested in exploring green innovation, ESG rating and financial performance. In addition, providing regulators and the board of directors with insights into the company’s and country’s future growth prospects.
Reproductive Apparatus, Gonadic Maturation, and Allometry of Cyclocephala barrerai Martínez (Coleoptera: Melolonthidae: Dynastinae)

Simple Summary Cyclocephala barrerai larvae feed on the roots of ornamental and commercial grasses. Most of their biology is still unknown, and there are no tools to manage their populations. The objective of this work was to study the reproductive system, gonadic maturation, and allometry of C. barrerai. This is the first report into the Melolonthidae family that characterizes the reproductive apparatus, gonadic maturation of both sexes, and allometric relationships of virgin F1 specimens. Adults do not feed, so gonadic maturation depends on larvae reserves. Females present sclerotized accessory glands and a genital chamber with muscular fibers and bacteria. The morphology of the parameres and the antennae are under sexual selection. This is the first report of two main differences among sexes: females are heavier while males have longer antennae. Males and females exhibit allometric relationships that can be used to predict the bodyweight of field-collected specimens. Abstract The Order Coleoptera provides good examples of morphological specializations in the reproductive apparatus, gonadic maturation, and allometry differing between the sexes. The female and male reproductive apparatus has been modified to ensure reproduction between individuals of the same species. The genus Cyclocephala has more than 500 species distributed in America, and Cyclocephala barrerai Martínez is an economically important species in the central part of Mexico. The objective of this work was to study the reproductive system, gonadic maturation, and allometry of C. barrerai. We used light, scanning electron, and laser scanning confocal microscopy to describe the reproductive apparatus and gonadic maturation of females and males. The relationship between adult weight and different parts of the body was established by linear regression. Regardless, the reproductive apparatuses of C. barrerai are like those of other Melolonthidae: the genital chamber, the type II accessory glands, and the ventral plaques of the female and the ejaculator bulb and genital capsule of the males are specific to C. barrerai. The gonads are fully developed when 18 d old. The weight of adult C. barrerai has a positive linear relationship with distinct parts of its body, while the antennae of males are larger than those of the females.
Corn Cob Char as Catalyst Support for Developing Carbon Nanotubes from Waste Polypropylene Plastics: Comparison of Activation Techniques

The future and continuity of nanomaterials are heavily dependent on their availability and affordability. This could be achieved when cheap materials are actively employed as starting materials for nanomaterials synthesis. In this study, waste corn cob char was used as support during the preparation of the NiMo catalyst, and the effect of different char-activating techniques on the microstructure, yield and quality of carbon nanotubes (CNTs) obtained from waste polypropylene (PP) plastics using the chemical vapor deposition (CVD) technique was investigated. Properties of the catalysts and obtained nanomaterials were evaluated by XRD, SEM, N2 physisorption experiment, FTIR, Raman spectroscopy and TEM. Results showed improved surface properties of the NiMo catalyst supported on chemically (NiMo/ACX) and physically activated char (NiMo/ACT) compared to the NiMo catalyst supported on non-activated char (NiMo/AC0). High-quality CNTs were deposited over NiMo/ACT compared to NiMo/ACX and NiMo/AC0. It was also observed that different activation methods resulted in the formation of CNTs of different microstructures and yield. Optimum yield (470.0 mg CNTs/g catalyst) was obtained with NiMo/AC0, while NiMo/ACT gave the least product yield (70.0 mg CNTs/g catalyst) of the as-produced nanomaterials. Based on the results of the analysis, it was concluded that utilizing a cheap pyrogenic product of waste corn cob as a catalyst support in a bimetallic NiMo catalyst could offer a promising approach to mass producing CNTs and as a low-cost alternative in CNTs production from waste plastics.
Non‐exchangeable stable hydrogen isotope ratios in clay minerals and soil clay fractions: A method test

Stable hydrogen isotope ratios (δ2H values) in structural hydroxyl groups of pedogenic clay minerals are inherited from the surrounding water at the time of their formation. Only non‐exchangeable H preserves the environmental forensic and paleoclimate information (δ2Hn value). To measure δ2Hn values in structural H of clay minerals and soil clay fractions, we adapted a steam equilibration method by accounting for high hygroscopicity. Our δ2Hn values for USGS57 biotite (−95.3 ± SD 0.9‰) and USGS58 muscovite (30.7 ± 1.4‰) differed slightly but significantly from the reported δ2H values (−91.5 ± 2.4‰ and −28.4 ± 1.6‰), because the minerals contained 1.1%–4.4% of exchangeable H. The low SD of replicate measurements (n = 3) confirmed a high precision. The clay separation method including destruction of Fe oxides, carbonates and soil organic matter, and dispersion did not significantly change the δ2Hn values of five different clay minerals. However, we were unable to remove all organic matter from the soil clay fractions resulting in an estimated bias of 1‰ in two samples and 15‰ in the carbon‐richest sample. Our results demonstrate that δ2Hn values of structural H of clay minerals and soil clay fractions can be reliably measured without interference from atmospheric water and the method used to separate the soil clay fraction.
The role of cardiac magnetic resonance imaging in the assessment of heart failure with preserved ejection fraction

Heart failure (HF) is a major cause of morbidity and mortality worldwide. Current classifications of HF categorize patients with a left ventricular ejection fraction of 50% or greater as HF with preserved ejection fraction or HFpEF. Echocardiography is the first line imaging modality in assessing diastolic function given its practicality, low cost and the utilization of Doppler imaging. However, the last decade has seen cardiac magnetic resonance (CMR) emerge as a valuable test for the sometimes challenging diagnosis of HFpEF. The unique ability of CMR for myocardial tissue characterization coupled with high resolution imaging provides additional information to echocardiography that may help in phenotyping HFpEF and provide prognostication for patients with HF. The precision and accuracy of CMR underlies its use in clinical trials for the assessment of novel and repurposed drugs in HFpEF. Importantly, CMR has powerful diagnostic utility in differentiating acquired and inherited heart muscle diseases presenting as HFpEF such as Fabry disease and amyloidosis with specific treatment options to reverse or halt disease progression. This state of the art review will outline established CMR techniques such as transmitral velocities and strain imaging of the left ventricle and left atrium in assessing diastolic function and their clinical application to HFpEF. Furthermore, it will include a discussion on novel methods and future developments such as stress CMR and MR spectroscopy to assess myocardial energetics, which show promise in unraveling the mechanisms behind HFpEF that may provide targets for much needed therapeutic interventions.
Neural Network-Based Approximation Model for Perturbed Orbit Rendezvous

An approximation of orbit rendezvous is usually used in the global optimization of multi-target rendezvous missions, which can greatly affect the efficiency of optimization process. A fast neural network-based surrogate model is proposed to approximate the optimal velocity increment of perturbed orbit rendezvous in low Earth orbits. According to a dynamic analysis, the initial and target orbits together with the flight time are transformed into a nine-dimensional normalized vector that is used as the input layer of the neural network. An existing approximation method is introduced to quickly generate the training data. In simulations, different numbers of layer nodes and hidden layers are tested to choose the best parameters. The proposed neural network model demonstrates high precision and high efficiency compared with previous approximation methods and neural network models. The mean relative error is less than 1%. Finally, a case of an optimization of a multi-target rendezvous mission is tested to prove the potential application of the neural network model.
Innovation development and adoption in small construction firms in Ghana

Purpose The purpose of this research is to identify the conditions under which the internal environment of small construction firms makes them either develop or adopt an innovation. Design/methodology/approach The research described in this paper adopted a qualitative case study approach. The data were obtained from multiple sources such as face-to-face semi-structured interviews with company representatives and from project reports. Findings The study identified that firms’ decision to either adopt or develop an innovation is determined by a complex interaction between their internal environment and 12 different conditions. Some of the findings contrast widespread perceptions in broader literature on innovation development and adoption in small construction firms. Research limitations/implications The study focused only on firms from two regions in Ghana. Additionally, adopting a purely qualitative approach meant that the quantitative impacts of the different factors were not presented. Practical implications The results can inform the decisions of agencies and persons wishing to invest their resources in innovation activities of small construction firms. It can also inform the policy debate and directions of government and industry associations looking to create innovation-friendly environments in the small business sector. Originality/value This research provides a better understanding of innovation development and adoption by small construction firms. Given that there is little previous research on innovation by small construction firms, especially in developing economies, the paper complements existing studies that generally focus on much larger firms and developed economies.
Sexual and Breeding Systems in a Xerophytic Shrubland

Reproductive systems are fundamental attributes for understanding life cycle and regeneration processes and provide information about seed production and genetic diversity. Analyses of reproductive strategies within communities and their associations with functional groups can indicate how physical and biological characteristics may influence the reproductive ecology of such communities. The main goal was to determine if the reproductive systems and their associated functional groups have particular characteristics related to extreme conditions and disturbance within xerophytic shrubland. Floral morphology analysis and four experimental tests were conducted to determine the reproductive systems of species and their associations with the life form, succulence, carbon metabolism, dispersal syndrome, pollination, and disturbance. Of the 144 plant species studied, 72.9% were hermaphrodite, 22.9% were monoecious, and 4.2% were dioecious. Dioecy was associated with woodiness, frugivory and undisturbed areas, while monoecy was more common in herbs. Adichogamy, protandry and herkogamy were more frequent than dichogamy, protogyny and no herkogamy, respectively. Xenogamous species tend to be woody and grow in undisturbed areas, while partially xenogamous species were mainly herbs occurring in disturbed areas. The majority of species were partially self-incompatible. High levels of outbreeding strategies tended to occur mainly in woody K-strategy species from undisturbed areas, mixed breeding strategies occurred in disturbed areas and overall community, and inbreeding strategies were associated with mostly herbaceous r-strategy primarily in disturbed areas.
The Resilience of Final-Year Pharmacy Students and Aspects of the Course They Found to Be Resilience-Building

Background: This work aimed to investigate final year pharmacy students’ resilience (as determined by the CD-RISC-25 tool), whether students considered certain aspects of the course to be resilience-building, and the role of the university in developing this attribute. Methods: Following ethical approval and an invitation to participate, data were collected from consenting students at Queen’s University Belfast via a pre-piloted paper-based questionnaire. Descriptive statistics were performed. To ascertain significant differences (p < 0.05) by gender, the Welch Two Sample t-test was used for the CD-RISC-25 mean scores and the Mann-Whitney U Test and Chi-squared test for Section B data. Results: The response rate was 80.61% (79/98). The mean CD-RISC-25 score for males was higher (not significantly) than the female mean score (70.39 versus 67.18, p = 0.2355, possible score range 0–100). While 93.67% (74/79) considered the School has a responsibility to develop resilience, <20.00% availed of the free resilience building events. Activities deemed to help build resilience included being able to make mistakes in a safe environment and needing to achieve a high grade to pass assessments. Conclusions: Resilience levels among future pharmacists at Queen’s University Belfast should be improved going forward. A strategy, developed in light of conducting this research (from one institution), will now be implemented to enhance the curriculum with regard to resilience building opportunities.
Generation of a Normal Long-Term-Cultured Chinese Hook Snout Carp Spermatogonial Stem Cell Line Capable of Sperm Production In Vitro

Simple Summary In vitro-induced differentiation of sperm cells is a key technology for genetic resource conservation. In the past ten years, Opsariichthys bidens has become a famous and excellent aquatic species in some areas in China. However, its genetic resources have reduced dramatically. To protect against the decline of O. bidens, a long-term-cultured spermatogonial stem cell line (ObSSC) of adult O. bidens was successfully established. The result of our study showed that ObSSC had a diploid karyotype and stable growth over more than 2 years, with SSC-typical gene expression patterns. Furthermore, our research demonstrates the potential and regulation mechanism of fish spermatogonial stem cell differentiation into different cells of three germ layers. Our findings will assist further research on the genetic resource conservation of germplasm in a commercially and ecologically valuable fish species. Abstract Opsariichthys bidens belongs to the family Cyprinidae and is a small freshwater economic fish widely distributed in China. In recent years, the natural resources of O. bidens have been drastically reduced due to overfishing and the destruction of the water environment. The in vitro culture and long-term preservation of germ stem cells are the key technologies to keep genetic resources from degeneration. However, except for the establishment of the first long-term cultured medaka spermatogonia cell line (SSC) capable of producing sperm in vitro in 2004, no other long-term cultured SSC line has been found in other fish species. In this study, we successfully established another long-term-cultured spermatogonial stem cell line from Opsariichthys bidens (ObSSC). After more than 2 years of culture, ObSSC had a diploid karyotype and stable growth, with the typical gene expression patterns of SSC. Under in vitro culture, ObSSC could be induced to differentiate into sperm and other different types of somatic cells. In vivo, ObSSC could differentiate into different cells of three germ layers upon being transplanted into zebrafish embryos. Our research helps to explore the potential and regulation mechanism of fish SSC differentiation and spermatogenesis in vitro, provides a new way for solving the problem of fish genetic resource degradation and lays a foundation for further research on fish germ cell transplantation.
Pedestrian crossing light violation in Costa Rica: exploring factors affecting mid-block crossing behavior

It is necessary to analyze pedestrian behavior at crossings to improve their safety and mobility. Mid-block pedestrian crossings are structures that facilitate the mobility of pedestrians, safeguarding them from vehicular traffic; however, illegal crossing by pedestrians is an everyday occurrence and represents a risk to their safety. The purpose of this study is to evaluate the relationship between different human and road factors and the decision to illegally cross signalized mid-block crossings. Several human factors such as age, gender, waiting time in traffic light, use of the pushbutton and individual or group crossing, as well as road characteristics such as the length of traffic light phase, length of crossing, and vehicular volume were analyzed. To collect information about these variables this study recorded a one-hour video in six selected crosswalks within the Montes de Oca County in Costa Rica. A total of 1,707 crossings were recorded, 10.6% of which corresponded to instances of illegal crossing. After applying a logit model, this research found that traffic volume, pedestrian red-light time, waiting time, vehicle illegal crossing and group crossings reduced the probability of violations by pedestrians. On the other hand, minimum traffic light time and crossing length increased the possibility of pedestrian illegal crossings. This study concluded that the traffic light cycle is an important variable that must be rigorously analyzed to ensure pedestrian's compliance with traffic lights, which will improve the safety of the pedestrian mid-block crossings.
Stand-Alone Multi-Attention Fusion Network for Double-Identity Fingerprint Detection

In this work, we propose SAMAF, a novel stand-alone multi-attention fusion network to detect double-identity fingerprint images. The double-identity fingerprint is a newly developed potential threat where a fake, synthetic fingerprint is created by carefully aligning ridge-lines of two genuine fingerprints belonging to the criminal and innocuous accomplice. These fake fingerprints are visually indistinguishable due to smooth orientation fields at intersection regions and thus simultaneously exploited by both entities to evade the security system. The proposed SAMAF network stems from the novel multi-instance attention module to aggregate local and global discriminative contexts. On other hand, the multi-attention fusion module is designed to consolidate attentive features across multiple scales and focus on important regions. Experimental results and ablation studies on multiple fingerprint-based presentation attack datasets show the superiority of our proposed network as compared to state-of-the-art methodologies.