jimnoneill/paper-to-field-training huggingface dataset:
Decision feedback channel estimation-a precursor for adaptive data transmission management

Two concepts are introduced: first, the notion of adaptive data transmission management to optimize modulation format and coding to channel conditions and, second, as a consequence of this strategy, the proposal of a reverse modulation channel sounding technique for elimination of the irreducible error rate floor, which otherwise limits modem performance under good signal conditions. The adaptive data transmission concept can potentially increase transmission throughput on a practical data network considerably, provided that a suitable protocol can be established for handling the adaptation process. Reverse modulation, a means for obtaining channel fading information from a data signal without recourse to a separate reference transmission, is shown to be highly effective for a specific DPSK (differential phase shift keying) example. Its performance is slightly inferior to that of a reference-based approach but with greatly reduced transmitter complexity and without the requirement for reference location, which is a non negligible overhead in reference tone or reference symbol insertion techniques.

Topic: Advanced Wireless Communication Techniques
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
The Dollars and Sense of Ballot Propositions: Estimating Willingness to Pay for Public Goods Using Aggregate Voting Data

This paper develops a new approach for estimating willingness to pay (WTP) for public goods using referendum voting data, and we demonstrate the approach by applying it to a series of referenda in California spanning a wide array of public goods. We find a range of annual WTP values for successful propositions from $3.47 per person for children’s hospitals to $94.48 per person for transportation infrastructure and management. We also impute the per capita cost of each proposition. Comparing these imputed costs to our WTP measure allows us to infer the upper bound on prices that would still ensure passage of a successful measure. Conversely, this comparison provides an estimate of the decrease in prices that would have been necessary to ensure passage of unsuccessful propositions. In addition, we estimate the relative effects of prices, income, and ideology on the support for public goods. We show that both ideology and economic costs have significant impacts, which stands in contrast to previous work that contends that voting patterns are driven purely by fiscal costs.

Topic: Economic and Environmental Valuation
Subfield: Economics and Econometrics
Field: Economics, Econometrics and Finance
Domain: Social Sciences
Field #3 of the Palomar-Groningen Survey I. Variable stars at the edge of the Sagittarius dwarf galaxy

A catalogue is presented with variable (RR Lyrae, semiregular and Mira) stars located inside field #3 of the Palomar-Groningen Survey, at the outer edge of the Sagittarius dwarf galaxy. One of the semiregular variables is a carbon star, comparable with those found by Azzopardi et al. (1991). Serendipity provides the suggestion, that their carbon stars might not be located inside, but behind the bulge in the Sagittarius dwarf galaxy.

Topic: Stellar, planetary, and galactic studies
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
[Anatomy and physiology of the nasolabial muscles in a normal subject and in one operated for maxillolabial cleft. Allowance in the treatment of their sequelae for the orthodontic era].

Surgery of the clefts of lips and jaws, particularly the prevention or correction of their sequels, is based on a sound knowledge of the anatomy and physiology of the mimic muscles. Their function is essential for the morphogenesis of the underlying skeletal structures. To restore the physiological functional pattern of all of these muscles is the aim of any surgical procedure in these cases. If the sequels of the cleft are of a certain importance at the time when orthodontic treatment usually takes place, it is indispensable to restore a well-balanced muscle function. Surgery might be done before or immediately after orthodontic treatment, but anyway it has to be done at this age, when the child is still going through a period of intensive growth. The last corrective measures only, aimed at merely aesthetic improvements (surgery upon nasal cartilage and revision of scars), are deferred until growth has ceased.

Topic: Cleft Lip and Palate Research
Subfield: Genetics
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection

Existing benchmarks for fake news detection have significantly contributed to the advancement of models in assessing the authenticity of news content. However, these benchmarks typically focus solely on news pertaining to a single semantic topic or originating from a single platform, thereby failing to capture the diversity of multi-domain news in real scenarios. In order to understand fake news across various domains, the external knowledge and fine-grained annotations are indispensable to provide precise evidence and uncover the diverse underlying strategies for fabrication, which are also ignored by existing benchmarks. To address this gap, we introduce a novel multi-domain knowledge-enhanced benchmark with fine-grained annotations, named \textbf{FineFake}. FineFake encompasses 16,909 data samples spanning six semantic topics and eight platforms. Each news item is enriched with multi-modal content, potential social context, semi-manually verified common knowledge, and fine-grained annotations that surpass conventional binary labels. Furthermore, we formulate three challenging tasks based on FineFake and propose a knowledge-enhanced domain adaptation network. Extensive experiments are conducted on FineFake under various scenarios, providing accurate and reliable benchmarks for future endeavors. The entire FineFake project is publicly accessible as an open-source repository at \url{https://github.com/Accuser907/FineFake}.

Topic: Misinformation and Its Impacts
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
[Autosomal-recessive renal cystic disease and congenital hepatic fibrosis: clinico-anatomic case].

Clinico-anatomic observation of autosomal-recessive renal cystic disease and congenital hepatic fibrosis at two fetuses from the same family was done. Mutation of His3124Tyr in 58 exon of PKHD1 gene in heterozygous state was found out. The same pathomorphological changes in the epithelium of cystic renal tubules and bile ducts of the liver were noted. We suggest that the autopsy research of fetuses with congenital abnormalities, detected after prenatal ultrasonic screening, has high diagnostic importance.

Topic: Pediatric Hepatobiliary Diseases and Treatments
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Application of Optical Coherence Tomography and Macular Holes in Ophthalmology

An impending macular hole, also known as a stage 1 macular hole, is considered the precur‐ sor to a full thickness idiopathic macular hole. Impending macular holes have a splitting of the inner retina with the clinical appearance of a foveolar cyst or pseudocyst. In some cases, this inner splitting can be associated with a defect in the underlying outer retina (Lee, Kang et al. 2011). An impending macular hole with a defect in the outer retina can have a very thin intact inner retina referred to as the roof of the impending macular hole. These impend‐ ing macular holes can progress to become full thickness macular hole once a break in the inner retina or roof occurs.

Topic: Retinal and Macular Surgery
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Fleet historical cases for predictive maintenance

Large complex systems, such as power plants, ships and aircraft, are composed of multiple systems, subsystems and components. When they are considered as embedded in system operating as a fleet, it raises mission readiness and maintenance management issues. However, considering a fleet implies to provide managers and engineers with a relevant synthesis of information and keep it updated regarding both the global health of the fleet and the current status of their maintenance efforts. For achieving predictive maintenance at a fleet level, it is thus necessary to manage relevant corresponding knowledge arising both from modeling and monitoring of the fleet. In that way, this paper presents a knowledge structuring scheme for fleet predictive maintenance.

Topic: Reliability and Maintenance Optimization
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Admission of Guilt: Sinking Teeth Into the SEC’s Sweetheart Deals, 3 J. Marshall Global Mkt. L.J. 27 (2014)

Throughout its existence, the U.S. Securities and Exchange Commission (“SEC”) has allowed defendants to settle cases without admitting to the allegations of wrongdoing. This “neither admit nor deny” policy has received heavy criticism by judges, Congress, and the public, especially in the wake of the 2008 financial crisis. On June 18, 2013, SEC Chairman Mary Jo White announced the agency’s intention to require admissions of guilt in certain cases. While Chairman White did not articulate a clear standard of when admissions would be required, she did say that the agency would focus on the egregiousness of the defendant’s conduct and the harm to investors. This Article develops a model to help determine which settlements should require admissions of wrongdoing. This proposed model balances the costs of requiring admissions in resources and litigation expenses with the social benefits of requiring admissions both in ensuring that the defendants are responsible for their actions and allowing the public to distinguish between technical violators and the more culpable offenders.

Topic: Taxation and Legal Issues
Subfield: Accounting
Field: Business, Management and Accounting
Domain: Social Sciences
PENGARUH LATIHAN PLYOMETRICS TERHADAP KEMAMPUAN LOMPAT JAUH GAYA JONGKOK SISWA SMA NEGERI 09 BOMBANA

The purpose of this study was to determine the effect of plyometrics training (depth jump) on the long jump ability of the students of SMA Negeri 09 Bombana, Poleang Tengah District, Bombana Regency. The formulation of the problem in this research is, is there any effect of plyometrics training (depth jump) on the ability of the long jump squat style of SMA Negeri 09 Bombana students, Poleang Tengah District, Bombana Regency?&#x0D; The population in this study were students of SMA Negeri 09 Bombana totaling 260 students consisting of 136 boys and 124 girls, the sample in this study was obtained using a purposive sampling technique, namely the sample was selected with consideration of male gender and was taken using a lottery that the researchers wanted, namely 31 students.&#x0D; The instrument used to measure the long jump ability was using the long jump test which was carried out 3 times for each student while the treatment was plyometrics (depth jump).&#x0D; The data in this study were analyzed using descriptive statistical techniques and inferential tests through t-test and Anova test. with a significant level of 0.05 where the results obtained from hypothesis testing show that t count = 17.296 &gt; t table at a significant level (0.05: 30) = 1.5. This research can be concluded that there is an effect of plyometrics training (depth jump) on the ability of the long jump squat style of SMA Negeri 09 Bombana, Poleang Tengah District, Bombana Regency.

Topic: Sports and Physical Education Research
Subfield: Physical Therapy, Sports Therapy and Rehabilitation
Field: Health Professions
Domain: Health Sciences
&lt;title&gt;Perfectly retrievable unipolar optoelectronic neural associative memory&lt;/title&gt;

A perfectly convergent, unipolar, neural associative memory system based on nonlinear, dynamical terminal attractors is presented. By adaptively setting the threshold values for the dynamic iteration for the unipolar, binary neuron states with terminal-attractors, the achievement of perfect convergence and correct retrieval has been demonstrated via computer simulation. The simulations are completed by (1) exhaustive tests with all of the possible combinations of stored and test vectors in small-scale networks, and (2) Monte Carlo simulations with randomly generated stored and test vectors in large-scale networks with an M/N ratio equals 4 (M: the number of stored vectors; and N: the number of neurons up to 256). An experiment with exclusive-or logic operation using LCTV SLMs is used to show the feasibility of an optoelectronic implementation of the model. The behavior of terminal attractors in basins of energy space is illustrated through examples.

Topic: Neural Networks and Applications
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SH0844786.10FU

UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.

Topic: Bayesian Modeling and Causal Inference
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sacral Bioneuromodulation: The Role of Bone Marrow Aspirate in Spinal Cord Injuries

Spinal cord injury (SCI) represents a severe trauma to the nervous system, leading to significant neurological damage, chronic inflammation, and persistent neuropathic pain. Current treatments, including pharmacotherapy, immobilization, physical therapy, and surgical interventions, often fall short in fully addressing the underlying pathophysiology and resultant disabilities. Emerging research in the field of regenerative medicine has introduced innovative approaches such as autologous orthobiologic therapies, with bone marrow aspirate (BMA) being particularly notable for its regenerative and anti-inflammatory properties. This review focuses on the potential of BMA to modulate inflammatory pathways, enhance tissue regeneration, and restore neurological function disrupted by SCI. We hypothesize that BMA’s bioactive components may stimulate reparative processes at the cellular level, particularly when applied at strategic sites like the sacral hiatus to influence lumbar centers and higher neurological structures. By exploring the mechanisms through which BMA influences spinal repair, this review aims to establish a foundation for its application in clinical settings, potentially offering a transformative approach to SCI management that extends beyond symptomatic relief to promoting functional recovery.

Topic: Spinal Cord Injury Research
Subfield: Pathology and Forensic Medicine
Field: Medicine
Domain: Health Sciences
Development and evaluation of a profile negotiation process for integrating aircraft and air traffic control automation

The development and evaluation of the profile negotiation process (PNP), an interactive process between an aircraft and air traffic control (ATC) that integrates airborne and ground-based automation capabilities to determine conflict-free trajectories that are as close to an aircraft's preference as possible, are described. The PNP was evaluated in a real-time simulation experiment conducted jointly by NASA's Ames and Langley Research Centers. The Ames Center/TRACON Automation System (CTAS) was used to support the ATC environment, and the Langley Transport Systems Research Vehicle (TSRV) piloted cab was used to simulate a 4D Flight Management System (FMS) capable aircraft. Both systems were connected in real time by way of voice and data lines; digital datalink communications capability was developed and evaluated as a means of supporting the air/ground exchange of trajectory data. The controllers were able to consistently and effectively negotiate nominally conflict-free vertical profiles with the 4D-equipped aircraft. The actual profiles flown were substantially closer to the aircraft's preference than would have been possible without the PNP. However, there was a strong consensus among the pilots and controllers that the level of automation of the PNP should be increased to make the process more transparent. The experiment demonstrated the importance of an aircraft's ability to accurately execute a negotiated profile as well as the need for digital datalink to support advanced air/ground data communications. The concept of trajectory space is proposed as a comprehensive approach for coupling the processes of trajectory planning and tracking to allow maximum pilot discretion in meeting ATC constraints.

Topic: Air Traffic Management and Optimization
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Chemical, strength and microstructure characterization of Balinese bamboos as activated carbon source for adsorbed natural gas application

Bamboo is one of promising biomass raw materials that has been widely researched, developed, manufactured as activated carbon (AC) and applied in many fields of life. However, there were only a few references associated to the use of bamboo AC as an adsorbent for Adsorbed Natural Gas (ANG) application. The purpose of this study was to characterize chemical, strength and microstructure of two types of local Balinese bamboo that were Tabah bamboo (Gigantochloc Nigrociliata) and Tamblang bamboo (Schizostachyum Brachycladum) as AC source. Characterization was carried out by undertaking proximate, ultimate, tensile tests, Van Soest analysis and microstructure observation. The results have showed that Tabah bamboo has 22.9151 % lignin, 44.9456 % cellulose, 84.56 % volatile and 44.47 % carbon, which were those characteristics higher than Tamblang bamboo. Furthermore, Tabah bamboo also has higher bond density vascular bundles, higher tensile strength (240.85 ± 17.53 Nmm-2) and fracture strength (182.39 ± 17.46 Nmm-2), lower ash (2.92 %), silica (1.84 %) and nitrogen (0.95 %) compared to Tamblang bamboo. Due to such characteristics, Tabah bamboo has greater potential as an AC precursor than Tamblang bamboo.

Topic: Bamboo properties and applications
Subfield: Plant Science
Field: Agricultural and Biological Sciences
Domain: Life Sciences
Prediction Model for Nursing Work Outcome of Nurses: Focused on Positive Psychological Capital

The nursing organization needs to build a supportive work environment and reinforce positive psychological capital to improve nursing performance. Additionally, it needs to actively manage the necessary parameters involved in the stages of job satisfaction, retention intention, nursing performance, and organizational citizenship behavior of nurses. The findings propose the continuous management of nursing personnel based on nurses' attitude outcome, behavioral intention, behavioral outcome, and stage of role performance.

Topic: Healthcare Education and Workforce Issues
Subfield: Leadership and Management
Field: Nursing
Domain: Health Sciences
Applications of generalized fiducial inference

Hannig (2008) generalized Fisher's fiducial argument and obtained a fiducial recipe for interval estimation that is applicable in virtually any situation. In this dissertation research, we apply this fiducial recipe and fiducial generalized pivotal quantity to make inference in four practical problems. The list of problems we consider is (a) confidence intervals for variance components in an unbalanced two-component normal mixed linear model; (b) confidence intervals for median lethal dose (LD50) in bioassay experiments; (c) confidence intervals for the concordance correlation coefficient (CCC) in method comparison; (d) simultaneous confidence intervals for ratios of means of Lognormal distributions. For all the fiducial generalized confidence intervals (a)-(d), we conducted a simulation study to evaluate their performance and compare them with other competing confidence interval procedures from the literature. We also proved that the intervals (a) and (d) have asymptotically exact frequentist coverage.

Topic: Hermeneutics and Narrative Identity
Subfield: Philosophy
Field: Arts and Humanities
Domain: Social Sciences
A Novel Automated Approach for Deep Learning on Stereotypical Autistic Motor Movements

Autism spectrum disorder (ASD) is an ongoing neurodevelopmental disorder, with repeated behavior called stereotypical movement autism (SMM). Some recent experiments with accelerometer features as feedback to computer classifiers demonstrate positive findings in persons with autistic motor disorders for the automobile detection of stereotypical motor motions (SMM). To date, several methods for detecting and recognizing SMMs have been introduced. In this context, the authors suggest an approach of deep learning for recognition of SMM, namely deep convolution neural networks (DCNN). They also implemented a robust DCNN model for the identification of SMM in order to solve stereotypical motor movements (SMM), which thus outperform state-of-the-art SMM classification work.

Topic: Autism Spectrum Disorder Research
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Defining the role of a national commission on the prevention of violent radicalization and homegrown terrorism

Testimony focuses on the proposal to create a National Commission on the Prevention of Violent Radicalization and Homegrown Terrorism. Mr. Jenkins warns one of the major challenges will be to correctly frame the issue, avoiding unsupported assumptions that lead to inappropriate strategies. He concludes by underscoring some principles to guide the proposed commission's work.

Topic: Terrorism, Counterterrorism, and Political Violence
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
CCDC 2204748: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Topic: Crystallization and Solubility Studies
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences