Miracle-dz/UniFAR-FTUs huggingface dataset:
High-dimensional generalizations of asymmetric least squares regression and their applications

Asymmetric least squares regression is an important method that has wide applications in statistics, econometrics and ﬁnance. The existing work on asymmetric least squares only considers the traditional low dimension and large sample setting. In this paper, we systematically study the Sparse Asymmetric LEast Squares (SALES) regression under high dimensions where the penalty functions include the Lasso and nonconvex penalties. We develop a uniﬁed efﬁcient algorithm for ﬁtting SALES and establish its theoretical properties. As an important application, SALES is used to detect heteroscedasticity in high-dimensional data. Another method for detecting heteroscedasticity is the sparse quantile regression. However, both SALES and the sparse quantile regression may fail to tell which variables are important for the conditional mean and which variables are important for the conditional scale/variance, especially when there are variables that are important for both the mean and the scale. To that end, we further propose a COupled Sparse Asymmetric LEast Squares (COSALES) regression which can be efﬁciently solved by an algorithm similar to that for solving SALES. We establish theoretical properties of COSALES. In particular, COSALES using the SCAD penalty or MCP is shown to consistently identify the two important subsets for the mean and scale simultaneously, even when the two subsets overlap. We demonstrate the empirical performance of SALES and COSALES by simulated and real data.
3D Near-field Source Localization for Cross Array via Fourth-order Cumulant

This paper proposes a algorithm for 3D near-field source localization, which uses the cross array and fourth-order cumulant. We construct two high-dimensional matrices by using these six fourth-order cumulant matrices, according to the subspace theory, we can extract the rotation factors, which contain the parameter information of the sources. Then it is possible to obtain the elevation angle, azimuth angle and range of the sources. This algorithm doesn't need spectral peak search.The high degree of freedom of the higher order cumulants makes it unique advantages over traditional methods, such as the ability to avoid loss of apertures and the natural resistance to Gaussian noise. The results of MATLAB simulation show that this is an effective three-dimensional parameter estimation algorithm for near-field source.
WAVELET NEURAL NETWORK WITH RANDOM WAVELET FUNCTION PARAMETERS

The training algorithm of Wavelet Neural Networks (WNN) is a bottleneck which impacts on the accuracy of the final WNN model. Several methods have been proposed for training the WNNs. From the perspective of our research, most of these algorithms are iterative and need to adjust all the parameters of WNN. This paper proposes a one-step learning method which changes the weights between hidden layer and output layer of the network; meanwhile, the wavelet function parameters are randomly assigned and kept fixed during the training process. Besides the simplicity and speed of the proposed one-step algorithm, the experimental results verify the performance of the proposed method in terms of final model accuracy and computational time.
CD73 regulates zoledronate-induced lymphocyte infiltration in triple-negative breast cancer tumors and lung metastases

Introduction Bisphosphonates (BPs) are bone-protecting osteoclast inhibitors, typically used in the treatment of osteoporosis and skeletal complications of malignancies. When given in the adjuvant setting, these drugs may also prevent relapses and prolong overall survival in early breast cancer (EBC), specifically among postmenopausal patients. Because of these findings, adjuvant nitrogen-containing BPs (N-BPs), such as zoledronate (ZOL), are now the standard of care for high-risk EBC patients, but there are no benefit-associated biomarkers, and the efficacy remains low. BPs have been demonstrated to possess anti-tumor activities, but the mechanisms by which they provide the beneficial effects in EBC are not known. Methods We used stably transfected 4T1 breast cancer cells together with suppression of CD73 (sh-CD73) or control cells (sh-NT). We compared ZOL effects on tumor growth and infiltrating lymphocytes (TILs) into tumors and lung metastases using two mouse models. B cell depletion was performed using anti-CD20 antibody. Results Sh-CD73 4T1 cells were significantly more sensitive to the growth inhibitory effects of n-BPs in vitro. However, while ZOL-induced growth inhibition was similar between the tumor groups in vivo, ZOL enhanced B and T lymphocyte infiltration into the orthotopic tumors with down-regulated CD73. A similar trend was detected in lung metastases. ZOL-induced tumor growth inhibition was found to be augmented with B cell depletion in sh-NT tumors, but not in sh-CD73 tumors. As an internal control, ZOL effects on bone were similar in mice bearing both tumor groups. Discussion Taken together, these results indicate that ZOL modifies TILs in breast cancer, both in primary tumors and metastases. Our results further demonstrate that B cells may counteract the growth inhibitory effects of ZOL. However, all ZOL-induced TIL effects may be influenced by immunomodulatory characteristics of the tumor.
On Homogeneity and Its Application in Sliding Mode 1

The paper is reviewing the tools to handle high-order sliding mode design and robustness. The main ingredient is homogeneity which can be checked using an algebraic test and which helps us in obtaining one of the most desired property in sliding mode control that is finite-time stability. This paper stresses some recently obtained results about homogeneity for differential inclusions and robustness with respect to perturbations in the context of input-to-state stability. Lastly within this framework, most of the popular high-order sliding mode control schemas are analyzed.
Existence, regularity and approximation of global attractors for weakly dissipative p-Laplace equations

A global attractor in $L^2$ is shown for weakly dissipative $p$-Laplace equations on the entire Euclid space, where the weak dissipativeness means that the order of the source is lesser than $p-1$. Half-time decomposition and induction techniques are utilized to present the tail estimate outside a ball. It is also proved that the equations in both strongly and weakly dissipative cases possess an $(L^2,L^r)$-attractor for $r$ belonging to a special interval, which contains the critical exponent $p$. The obtained attractor is proved to be approximated by the corresponding attractor inside a ball in the sense of upper strictly and lower semicontinuity.
Applications to Control the Estrus Cycle in Bovines via Estrus Synchronization: A Review

Estrus Synchronization is the main application of Assisted Reproductive Technologies (ART), it helps in the control of the estrus cycle with the basic help of Hormones and adds controlled Artificial Insemination, reduction in Calving interval which saves time, labor cost and effective dairy farm management. Moreover, old reproductive management is too expensive and it becomes the root of the loss of milk and meat production, it is also costly in case of labor, feed, estrus detection, long inter calving interval, postpartum estrus detection and other disease problems. To get rid of these expensive traditional practices ART has developed many methods to control estrus cycle physiology and endocrinology. Estrus synchronization tools developed in recent breeding management of dairy herds in dairy industries have become an essential part of reproduction. Many of them rely on protocols that allow timed artificial insemination (TAI) to overcome the practical anomalies during estrus detection. Currently developed programs consist of protocols that are used for re-synchronization following first or consequent inseminations. Many programs include scheduled injections of Prostaglandin (PgF2α) and Gonadotropin-releasing hormone (GnRH). Meanwhile, progesterone and estradiol based supplements are also required in many techniques. The main program used for synchronization is "Ovsynch" protocol. Moreover, this review is based on the introduction, history, principles, factors and methods of estrus synchronization that are mostly used for profitable dairy farming, it will assist in the understanding of the basic mechanism that is involved in the control of estrus cycle.
Effect of Integrated Financial Management Information Revenue Systems on Financial Management in County Governments, Kenya

There have been significant improvements in Kenya's legal and institutional frameworks for public finance management (PFM) during the last six years, but the country's public finance management domain is still facing several problems that are at odds with sound PFM practices. The researchers set out to learn how much of an impact the Integrated Financial Management Information System (IFMIS) had on county governments' use of Financial Management in Kenya. The research set out to determine how the IFMIS revenue system has influenced financial management in Kenya's county administrations. Descriptive and causal research methods were used. A total of 302 workers from the Treasury Departments of the County Governments of Kakamega, Busia, Vihiga, Trans Nzoia, and Bungoma were surveyed. This included 44 Procurement officers, 46 internal auditors, 89 Accountants, 87 Finance officers, and 42 Revenue officers. The 172 participants were chosen by stratified random selection. Questionnaires were used to gather the primary data. Content and construct validity were established via the pilot research, and reliability was calculated using the Cronbach Alpha statistic. Data was summarized using frequencies, means, standard deviations, and percentages using descriptive analysis, while correlation and multiple linear regression were employed using SPSS 26.0 for inferential analysis. At the 5% threshold of significance, hypotheses were examined. Models were developed and data was tabulated. The results showed that the County Governments in Western Kenya's financial management varied greatly (R2 = 0.443, P 0.0001) depending on the revenue method they used. At a significance threshold of P<0.05, the regression coefficient for IFMIS revenue system was 0.670, indicating that a one-unit shift in the IFMIS revenue system would lead to a 0.670-unit shift in financial management in the County governments in Western Kenya. Therefore, the research indicated that the IFMIS revenue system had a considerable impact on the budgetary practices of Kenya's county governments. To guarantee sustainable accomplishment and effective service delivery to the communities, the report suggests that county governments ought to digitize all tax collecting platforms.
Impact of Mir196a-2 Genotypes on Colorectal Cancer Risk in Taiwan

We aimed to investigate the association between genotypes for mir146a and mir196a-2 and the risk of developing colorectal cancer (CRC). We used polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) to determine the mir146a rs2910164 and mir196a-2 rs11614913 genotypes in 362 CRC patients and 362 controls. We also assessed the interactions between these genotypes and age, gender, smoking, alcohol consumption, and BMI status on CRC risk. Additionally, the serum expression level of mir196a-2 was quantified using quantitative reverse transcription-PCR. Our findings demonstrated that among the controls, the proportions of TT, CT, and CC genotypes of mir196a-2 rs11614913 were 32.3%, 48.1%, and 19.6%, respectively. As for the cases, the proportions were 24.6%, 45.0%, and 30.4%, respectively. Logistic regression analysis revealed that the CC genotype carriers had a 2.04-fold increased risk (95% confidence interval [CI] = 1.36–3.06, p = 0.0008). Furthermore, carriers of the CT + CC genotypes also exhibited a significant association with CRC risk (odds ratio [OR] = 1.46, 95% CI = 1.06–2.03, p = 0.0261). Moreover, carriers of the CC genotype had significantly higher serum levels of mir196a-2 compared to those with the TT genotype (p < 0.0001), indicating a genotype-phenotype correlation. No association was found regarding mir146a rs2910164. In conclusion, mir196a-2 rs2910164 genotypes, along with their associated expression, can serve as predictive markers for CRC risk.
Diamond chip under single-photon driving as a high spatial resolution quantum magnetometer and electrometer

The problem of practical realization of a compact sensing device with high-spatial resolution is addressed. The principle of external field measuring uses analysis of transmission or reflection spectra from a diamond microstructure composed of three-microring optical resonators. Due to Zeeman and Stark shifts of energy levels of NV-centers formed in the microring edge the hybrid electron-photon spectrum changes depending on the strength and direction of magnetic and electric fields, respectively. A probe laser with a tunable wavelength excites the structure in a single-photon regime and its response enables one to detect the fields via spectral behavior. The model of the sensor dynamics accounts for both coherent driving and incoherent processes (center relaxation, dephasing and photon leakage) in terms of Lindblad formalism. With use of the finite-difference time-domain numerical method a three-ring spectrum is calculated and eigenmodes close to NV-center zero-phonon line are found. Electromagnetic field shows whispering-gallery behavior, so NV-center is coupled to a common three-ring mode antinode. As we show in the steady-state regime our approach gives the possibility of external fields measuring in a large intensity range with high sensitivity.
Recent Advances in Potential Health Benefits of Quercetin

Quercetin, a flavonoid found in fruits and vegetables, has been a part of human diets for centuries. Its numerous health benefits, including antioxidant, antimicrobial, anti-inflammatory, antiviral, and anticancer properties, have been extensively studied. Its strong antioxidant properties enable it to scavenge free radicals, reduce oxidative stress, and protect against cellular damage. Quercetin’s anti-inflammatory properties involve inhibiting the production of inflammatory cytokines and enzymes, making it a potential therapeutic agent for various inflammatory conditions. It also exhibits anticancer effects by inhibiting cancer cell proliferation and inducing apoptosis. Finally, quercetin has cardiovascular benefits such as lowering blood pressure, reducing cholesterol levels, and improving endothelial function, making it a promising candidate for preventing and treating cardiovascular diseases. This review provides an overview of the chemical structure, biological activities, and bioavailability of quercetin, as well as the different delivery systems available for quercetin. Incorporating quercetin-rich foods into the diet or taking quercetin supplements may be beneficial for maintaining good health and preventing chronic diseases. As research progresses, the future perspectives of quercetin appear promising, with potential applications in nutraceuticals, pharmaceuticals, and functional foods to promote overall well-being and disease prevention. However, further studies are needed to elucidate its mechanisms of action, optimize its bioavailability, and assess its long-term safety for widespread utilization.
The cosmic molybdenum-neodymium isotope correlation and the building material of the Earth

doi: 10.7185/geochemlet.1720 The isotopic similarity of enstatite chondrites and Earth has often been cited as evidence that the Earth is made of enstatite chondrite-like material. Here we show, however, that enstatite chondrites exhibit nucleosynthetic molybdenum (Mo) isotope anomalies and, therefore, cannot represent the sole building blocks of the Earth. Enstatite and ordinary chondrites together with the Earth’s mantle plot on a cosmic Mo-Nd isotope correlation line that reflects varying proportions of s-process matter in these samples. This correlation indicates that the nucleosynthetic makeup of Earth’s building material did not change over time and that Earth, on average, accreted from bodies that originated closer to the Sun and were enriched in s-process matter compared to known chondrites. As such, any contribution of chondrites to Earth’s accreting material must be compensated by the addition of s-process enriched bodies. This material is not present in our meteorite collections, but may have been sampled by Venus or Mercury. The s-process enriched nature of the Earth can fully account for its higher 142Nd compared to chondrites, which therefore does not require an early differentiation of Earth’s mantle. Received 9 September 2016 | Accepted 20 March 2017 | Published 14 April 2017
Ownership Structure and Shareholders: Perspectives on Conflict between State Participation in the Value of Companies on the Brazilian Stock Exchange - B3

Purpose: The main objectives are the influence on the various interested shareholders, the role of institutionalized the State in the shareholding structure of companies, and their influence on share prices after the events of media about disclose of these in this study. Design/methodology/approach: In the first moment, the investigation had a quantitative approach of a relational nature based on the events investigated between 2010 and 2020 and were published in the newspapers. In addition to the share prices, the variables investigated corresponded to the various forms of state participation. Based on stock valuation data, statistical methods were applied to a secondary database containing measurable information provided by organizations operating in the Brazilian stock market and documentary evidence provided by companies. Findings: The presence of the State as a shareholder has significant relevance in the Brazilian capital market and the application of public resources. It is the responsibility of society and academia to monitor such applications and ascertain whether it generates value for the business and the country. Within the study's boundaries on the management of public resources and investments, Corporate Governance has been arising the debate and questioning about the government's performance as a shareholder in the firm. Originality/value: When investigating the perspective of the State as a shareholder has significant relevance in the Brazilian capital market and the application of public resources. Society and academia's responsibility is to monitor such applications and ascertain whether it generates value for the business and the country.
How have neuropsychological patient studies contributed to the understanding of brain lesion effects on behaviour?

Neuropsychology is the study of behavioural and cognitive deficits in patients with brain lesions, comparing task performance between healthy controls and those with brain damage to infer the link between brain anatomy and behaviour. The discipline’s three most popular tools – association, dissociation, and double dissociation studies – have yielded a vast amount of valuable experimental and clinical insight for neuroscience’s understanding of the brain-behaviour connection. Here, specific contributions from each type of study are discussed in relation to the diagnosis and treatment of three neuropsychological impairments – Bálint’s syndrome, visual form agnosia, and aphasia. The inherent limitations of neuropsychology as a discipline are considered, including the problem of low generalizability, the debatable fractionation assumption, poor temporal resolution and its relative obsoleteness in comparison to contemporary brain imaging techniques. It is concluded that the combined approach of converging traditional neuropsychological techniques with modern neuroimaging methods, is most efficient at providing insight on brain function and localisation, leading to brain-behaviour conclusions that would be impossible to discover using solely patient studies.
Vision-Based Formation Control for an Outdoor UAV Swarm With Hierarchical Architecture

Formation control of a UAV swarm is challenging in outdoor GNSS-denied environments due to the difficulties in accomplishing relative positioning among the UAVs. This study proposes a vision-based formation control strategy that could be implemented in the absence of an external positioning system. The hierarchical architecture has been constructed for the UAV swarm using the modified leader-follower strategy. The leader UAV derives and broadcasts the locations of the follower UAVs, while the follower UAVs calculate their control inputs to achieve the desired swarm formation. The vision-based localization of the UAVs is accomplished using state-of-the-art deep learning algorithms like YOLOv7 and DeepSORT. The RflySim-based simulation has been conducted to verify the feasibility of the conceptualization, and the validation has been made with a real flight test using a swarm comprised of five quadrotors. Results show the robustness of the vision-based UAV positioning framework with a localization error within 0.3 m. Moreover, the formation control without the GNSS is achieved with a monocular camera and the entry-level AI platforms implemented onboard, which could be promoted to UAV swarm applications for broader scenarios.
The Role of Religiosity on Hijab Buying Intention on Premium Hijab of Muslim Consumers in Indonesia

Hijab is defined as a veil or a cover, which usually has cultural connotations in a country where the population is predominantly Muslim. Hijab serves to cover Muslim women’s hair with modest clothing. Hijab products are varied, not only used as a cover but also can increase the confidence of Muslim women because hijab fashion does not have to be left behind by non-hijab fashion. Therefore, the purpose of this study was to determine the role of religiosity on the purchase intention of Muslim consumers in Indonesia. The research method used is qualitative research with semi-structured in-depth interviews. The results showed that the interaction of religiosity in using hijab without being influenced by the premium hijab trend; buying hijab because of its functionality, quality, durability, and costs that reflect its utilitarian value using this premium hijab to experience the latest style experiences and ideas that describe its hedonic values; this premium hijab trend is positive, such as it creates more enthusiasm about wearing the hijab; and indeed liking premium hijab products that reflect their attitude. Keywords: religiosity, utilitarian value, hedonic value, attitude, hijab premium
Development and Optimization of STEP—A Linear Plasma Device for Plasma-Material Interaction Studies

The linear plasma device Simulator for Tokamak Edge Plasma (STEP) has been constructed at Beihang University, Beijing, to study plasma-material interactions (PMIs) for fusion reactor applications. The device can produce versatile low-energy and high flux plasma in laboratory experiments and is highly cost-effective to replicate the fusion-relevant plasma environment to study PMI processes. The attractive feature of the device is its compact design with a main body dimension of 1.5 × 1.5 × 0.8 m3 including the plasma source, vacuum chamber, magnetic coils, and diagnostics. A longitudinal magnetic field of up to 0.26 T is used to confine the plasma onto the target in an ∼1-m-long vacuum tube. It can produce a steady-state plasma of low impinging ion energy of <100 eV, ion flux up to 1022 m−2 · s−1, and fluence of >1026 m−2 per exposure. Various plasma species such as hydrogen, deuterium, helium, and nitrogen can be produced to manipulate PMI processes for different target grades. The STEP device provides an experimental platform to improve the understanding of PMIs, validate computational simulation results, and build a database of fusion material performance and lifetime.