jimnoneill/paper-to-field-training huggingface dataset:
Acute Stress Improves Concentration Performance

Field: Psychology (Social Sciences)

Abstract. Acute stress can have both detrimental and beneficial effects on cognitive processing, but effects on concentration performance remain unclear. Here, we investigate the effects of acute psychosocial stress on concentration performance and possible underlying physiological and psychological mechanisms. The study sample comprised 47 healthy male participants who were randomly assigned either to a psychosocial stress situation (Trier Social Stress Test) or a neutral control task. Concentration performance was assessed using the d2 Test of Attention before and 30 min after the stress or control task. Salivary cortisol and alpha-amylase were repeatedly measured before and up to 1 hr after stress. We repeatedly assessed state anxiety using the State-Trait Anxiety Inventory and anticipatory cognitive stress appraisal using the Primary Appraisal Secondary Appraisal questionnaire. The stress group showed a significantly stronger improvement of concentration performance compared to the control group ( p = .042). Concentration performance improvement was predicted by increased state anxiety ( p = .020) and lower cortisol (stress) changes ( p = .043). Neither changes in alpha-amylase nor cognitive stress appraisal did relate to concentration performance. Our results show improved concentration performance after acute psychosocial stress induction that was predicted by higher state anxiety increases and lower cortisol increases. This points to a potential modulating role of specific psycho-emotional and physiological factors with opposite effects.
Reframing Twentieth-Century French Philosophy

Field: Arts and Humanities (Social Sciences)

Reframing Twentieth-Century French Philosophy: The Roots of Desire, edited by Elodie Boublil, investigates the works of French philosophers who have been relegated to the margins of the canon, even if their teachings and writings have been recognized as highly influential. The contributions gather around the concept of “desire” to make sense of the French philosophical debate throughout the twentieth century. The first part of the volume investigates the concept of desire by questioning the role of reflexivity in embodiment and self-constitution. It examines specifically the works of three authors—Maine de Biran, Jean Nabert, and Jean-Louis Chrétien—to highlight their specific contribution to twentieth-century French philosophy. The second part of the volume explores desire's pre-reflective and affective dynamics that resist objectification and reflexivity by analyzing the contributions of lesser-known thinkers such as Simone Weil, Sarah Kofman, and Henri Maldiney. The last part of the volume focuses on three philosophical endeavors that aim to positively rethink the foundations of phenomenology and French philosophy: Jacques Garelli, Marc Richir, and Mikel Dufrenne.
Motion-Prediction-based Wireless Scheduling for Multi-User Panoramic Video Streaming

Field: Computer Science (Physical Sciences)

Multi-user panoramic video streaming demands 4~6× bandwidth of a regular video with the same resolution, which poses a significant challenge on the wireless scheduling design to achieve desired performance. On the other hand, recent studies reveal that one can effectively predict the user's Field-of-View (FoV) and thus simply deliver the corresponding portion instead of the entire scenes. Motivated by this important fact, we aim to employ autoregressive process for motion prediction and analytically characterize the user's successful viewing probability as a function of the delivered portion. Then, we consider the problem of wireless scheduling design with the goal of maximizing application-level throughput (i.e., average rate for successfully viewing the desired content) and service regularity performance (i.e., how often each user gets successful views) subject to the minimum required service rate and wireless interference constraints. As such, we incorporate users' successful viewing probabilities into our scheduling design and develop a scheduling algorithm that not only asymptotically achieves the optimal application-level throughput but also provides service regularity guarantees. Finally, we perform simulations to demonstrate the efficiency of our proposed algorithm using a real dataset of users' head motion.
Seventeen-Year Changes in Body Mass Index, Waist Circumference, Elevated Blood Pressure, and Diabetes Phenotypes in a Cohort of Filipino Women

Field: Medicine (Health Sciences)

Obesity, hypertension, and diabetes have risen dramatically in Asia, but few cohort studies track age and secular trends in these conditions. We use Cebu (The Philippines) Longitudinal Health and Nutrition survey data to document 1998 to 2015 prevalence and co-occurrence of body mass index (BMI; >25 kg/m 2 ), high waist circumference (WC; >80 cm), elevated blood pressure (EBP; systolic ⩾130 or diastolic ⩾85 mm Hg), and type 2 diabetes among ~2000 women aged 29 to 62 years in 1998; and identify their relationship to community, household, and individual factors using longitudinal logistic regression. Prevalence (1998-2015) rates were 35% to 49%, BMI >25 kg/m 2 ; 32% to 58% high WC; 21% to 59% EBP; and 2% to 14% diabetes. Only 20% of women had none of these conditions in 2015. Diabetes was strongly driven by age and secular trends in high WC related to higher socioeconomic status and urbanization. Hypertension increased with age in lower socioeconomic status rural and more affluent urban women. Results underscore the continuing need for public health measures to prevent obesity and to identify and treat hypertension and diabetes.
Antidiabetic activity, glucose uptake stimulation and α-glucosidase inhibitory effect of Chrysophyllum cainito L. stem bark extract

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Chrysophyllum cainito L., a tropical fruit tree, has been used as an alternative medicine for the treatment of diabetic patients in many countries. However, there is very limited scientific rationale for this medical use. The present study aimed to evaluate the antidiabetic activity of the extract from C. cainito stem bark and the possible mechanisms underlying this activity.Phytochemistry and in vitro antioxidant capacity of the extract were studied. Hypoglycemic activity of the extract was examined in normal and alloxan-induced diabetic mice. The effect of C. cainito extract on glucose absorption and glucose uptake were conducted using mouse isolated jejunum and abdominal muscle, respectively. Finally, an in vitro effect of C. cainito extract on α-glucosidase activity was evaluated.C. cainito extract possessed a strong antioxidant activity comparable to the ascorbic acid and butylated hydroxytoluene. The extract at 500 mg/kg significantly reduced the area under curve of blood glucose level in oral glucose tolerance test in normal mice. In alloxan-induced diabetic model, similar to glibenclamide, a single dose of the extract significantly decreased fasting blood glucose level from 387.17 ± 29.84 mg/dl to 125.67 ± 62.09 mg/dl after 6 h of administration. From the isolated jejunum experiment, the extract at any doses used did not inhibit glucose absorption. However, the extract at 50 μg/ml significantly increased the amount of glucose uptake by abdominal muscles in the presence of insulin (P < 0.05). Lastly, it was found that the extract produced stronger inhibition of α-glucosidase activity (IC50 = 1.20 ± 0.09 μg/ml) than acarbose (IC50 = 198.17 ± 4.74 μg/ml).Direct evidence of antidiabetic activity of C. cainito stem bark with possible modes of action, glucose uptake stimulation and α-glucosidase inhibitory effect, was reported for the first time herein. These data support the potential use of this plant for the treatment of diabetic patients.
Data from Inhibition of Intermedin (Adrenomedullin 2) Suppresses the Growth of Glioblastoma and Increases the Antitumor Activity of Temozolomide

Field: Medicine (Health Sciences)

<div>Abstract<p>Glioblastoma multiforme (GBM; grade IV glioma) is the most malignant type of primary brain tumor and is characterized by rapid proliferation and invasive growth. Intermedin (IMD) is an endogenous peptide belonging to the calcitonin gene-related peptide family and has been reported to play an important role in cell survival and invasiveness in several types of cancers. In this study, we found that the expression level of IMD was positively related to the malignancy grade of gliomas. The highest expression of IMD was found in GBM, indicating that IMD may play an important role in glioma malignancy. IMD increased the invasive ability of glioma cells by promoting filopodia formation, which is dependent on ERK1/2 activation. IMD-induced ERK1/2 phosphorylation also promoted GBM cell proliferation. In addition, IMD enhanced mitochondrial function and hypoxia-induced responses in GBM cells. Treatment with anti-IMD monoclonal antibodies not only inhibited tumor growth in both ectopic and orthotopic models of GBM but also significantly enhanced the antitumor activity of temozolomide. Our study may provide novel insights into the mechanism of GBM cell invasion and proliferation and provide an effective strategy to improve the therapeutic effect of GBM treatments.</p></div>
Interior design features for people with autism spectrum disorder

Field: Health Professions (Health Sciences)

Optimizing the learning environment is important for every child, but it is especially
important for autistic children who may experience sensory difficulties described above. A suitable
approach to architecture and design can offer autistic children a learning environment in which it will
be easier for them to show their potential.Both ordinary people and doctors, teachers and employees
of administrative institutions know little about autism spectrum disorders in our country. Children,
teenagers and adults do not receive the correct diagnosis, many people do not have access to quality
care. In addition, myths are widespread, further complicating the lives of people with ASD. It is
important to give children with autism more time to realize what will happen next, this reduces their
anxiety, allows them to be more confident and generally increases their ability to learn.
A five year retrospective study on maternal and perinatal outcome in pregnancy after cardiac surgery

Field: Medicine (Health Sciences)

Background: Pregnancy is a hypercoaguable state with physiological haemodynamic changes occurring during pregnancy. There is a progressive increase in intravascular volume in second trimester of pregnancy and increase in cardiac output. Pregnancy makes a significant impact on cardiovascular system. It is important to evaluate and study the effect of pregnancy on women with surgically corrected heart conditions so as to preempt potential complications.Methods: This is a retrospective study of patients with prior history of cardiac surgery and their pregnancy outcomes in a tertiary center of Southern India over a period of five years from January 2011 to December 2016.Results: In this study, descriptive statistical analysis was done in 87 women with pregnancy following cardiac surgery. 58.6% were nulliparous. Around 52% had associated obstetric risk factors. The most common cardiac surgery in this population was Mitral valve replacement (40.2%) and Atrial septal defect closure (37.9%). Women belonged to NYHA class I in 90.8% of cases. 58.6% had vaginal delivery and 36.8% had caesarean section. 6 women had postpartum haemorrhage which was medically managed, and 6 women needed ICU care.74.7% women had term deliveries. 18.4 % of the babies were less than 2.5 kg weight at birth. 13 babies required Neonatal ICU care.Conclusions: Maternal and neonatal outcome mainly depends on the functional cardiac status of women before conception. In this study we emphasize on the importance of multidisciplinary team approach involving cardiologist, obstetrician and neonatologist in the management of women with prior cardiac surgery.
Preliminary Lipid Analysis of Section 481-2-2

Field: Earth and Planetary Sciences (Physical Sciences)

We investigated the solvent-extractable lipids of a Quaternary diatomaceous ooze (Section 481-2-2) from the Guaymas Basin.The section contained high concentrations of lipids, principally derived from algae.We also recognized components derived from bacterial and terrestrial sources.Major dinoflagellate blooms were indicated by the presence of dinosterol as the major component.The lipid composition was typical of that of Recent marine sediments and reflected a very early stage of lipid diagenesis.
The Impact of the Choice of Magnetometers and Gradiometers in Source Reconstruction after Signal Space Separation

Field: Neuroscience (Life Sciences)

Background: Modern MEG devices include 102 sensor triplets containing one magnetometer and two planar gradiometers. The first processing step is often a signal space separation (SSS), which provides a powerful noise reduction. A question commonly raised by researchers and reviewers is which data should be employed in source reconstruction: (1) magnetometers only, (2) gradiometers only, (3) magnetometers and gradiometers together. The MEG community is currently divided about the proper answer and strong arguments in favor and against these three approaches often expressed. Methods: First, we provide theoretical evidence that both gradiometers and magnetometers contain the same information after SSS, and argue that they both result from the backprojection of the same SSS components. Then, we compare beamforming source reconstructions from magnetometers and gradiometers in real MEG recordings before and after SSS. Results: Without SSS, the correlation between source time series extracted from magnetometers and gradiometers was high, with Pearson correlation coefficient r=0.5-0.8. After SSS, these correlation values increased dramatically, reaching over 0.90 across all cortical areas. Conclusions: After SSS, almost identical source reconstructions (r&gt;0.9) can be obtained with magnetometers and gradiometers, as long as regularization is selected appropriately to account for the different properties in magnetometers and gradiometers covariance matrices.
Development Framework of an Artificial Intelligence Planner Framework for Bespoke Precast Concrete Production

Field: Computer Science (Physical Sciences)

Precast concrete industry is highly involved in construction projects through the supply of bespoke products. It delivers many advantages to the construction industry in terms of saving time, cost, and reducing congestion on construction sites. However, precast manufacturers are facing a substantial problem of long customer lead-time for bespoke concrete products. Most of time and effort is spent on a long production process consisting of product design, production planning, and shop floor manufacturing. Also, variations in the process due to many uncertainties, many parties and human involvements extend buffers of the customer lead-time. Lean construction concepts that are adapted for the unique production system of construction work recognize the above problem as waste and directly aim to eliminate them. Complying with the concepts, the authors have proposed an automatic planning system called artificial intelligence planner (AIP). The AIP retrieves product data from design process for the automatic planning process. In order to develop requirements and specifications of the AIP, this paper concisely describes precast design and production planning processes from a case study of a precast company. Artificial intelligence and flow-shop scheduling techniques that provide development background are reviewed. Also the components of the AIP are described. The AIP is expected to reduce the customer lead-time, assist precast manufacturers to manage changes in product requirements and/or delivery dates; therefore, the construction industry will share the benefits.
A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems

Field: Computer Science (Physical Sciences)

This paper considers the problem of minimizing the expected value of a (possibly nonconvex) cost function parameterized by a random (vector) variable, when the expectation cannot be computed accurately (e.g., because the statistics of the random variables are unknown and/or the computational complexity is prohibitive). Classical stochastic gradient methods for solving this problem may suffer from slow convergence. In this paper, we propose a stochastic parallel Successive Convex Approximation-based (best-response) algorithm for general nonconvex stochastic sum-utility optimization problems, which arise naturally in the design of multi-agent networks. The proposed novel decomposition approach enables all users to update their optimization variables in parallel by solving a sequence of strongly convex subproblems, one for each user. Almost sure convergence to stationary points is proved. We then customize the algorithmic framework to solve the stochastic sum rate maximization problem over single-input-single-output (SISO) frequency-selective interference channels, multiple-input-multiple-output (MIMO) interference channels, and MIMO multiple-access channels. Numerical results corroborate that the proposed algorithms can converge faster than state-of-the-art stochastic gradient schemes while achieving the same (or better) sum-rates.
Acquisition and Testing of Gestural Signs in Four Young Chimpanzees

Field: Neuroscience (Life Sciences)

Two male and two female chimpanzees were each taught ten signs of American Sign Language. The acquisition rates of the signs were compared on the basis of the number of minutes required in training to reach a criterion of five consecutive unprompted correct responses. After the ten signs had been acquired, the chimpanzees were tested in a double-blind procedure for nine of the signs. All four chimpanzees acquired all of the signs. Some signs were consistently easier to acquire than others, and individual differences between the four chimpanzees were found in the acquisition rates and tests.
Diagnosis of lithium-ion batteries degradation with P2D model parameters identification: A case study on low temperature charging

Field: Energy (Physical Sciences)

The estimation of the state of health (SoH) of a lithium-ion battery is still a hot topic in the scientific research. This publication deals with the combined use of optimized tests, also involving impedance spectroscopy, and physical models to investigate lithium-ion batteries degradation. As a case study, this method is firstly applied on a low-temperature charging degradation campaign, in order to expectedly generate a lithium plating-dominated ageing state. Degradation tests, performed under previously selected combinations of operating conditions, are performed down to 75 % SoH on commercial samples, determining severe ageing rate up to 1.5 % capacity loss per equivalent full cycle. The proposed interpretation methodology identifies the ageing to be dominated by the loss of lithium inventory, consistently with the expected degradation mechanism. Large electrolyte consumption is also detected, which induces a strongly anisotropic utilization of the electrodes during discharge, as confirmed by pseudo-two-dimensional (P2D) model simulations. This activity contributes to verify the reliability of the methodology, elucidate the effect of lithium plating on the performance and underline the effect of the operating conditions at low temperature, paving the way to the application on real-world conditions.
Mitigation of voltage sags in CIGRE low voltage distribution network

Field: Engineering (Physical Sciences)

Any problem in voltage in a power network is undesirable as it aggravates the quality of the power. Power electronic devices such as Voltage Source Converter (VSC) based Static Synchronous Compensator (STATCOM), Dynamic Voltage Restorer (DVR) etc. are commonly used for the mitigation of voltage problems in the distribution system. The voltage problems dealt with in this paper are to show how to mitigate voltage sags in the CIGRE Low Voltage (LV) test network and networks like this. The voltage sags, for the tested cases in the CIGRE LV test network are mainly due to three phase faults. The compensation of voltage sags in the different parts of CIGRE distribution network is done by using the four STATCOM compensators already existing in the test grid. The simulations are carried out in DIgSILENT power factory software version 15.0.
Experimental Evidence of Particles due to Thermal Effects in Laser Ablation

Field: Materials Science (Physical Sciences)

Thermal effects on the target surface, promoted by laser-target interaction, include boiling, vaporization and mainly phase explosion, play an important role in the surface morphological modification of the target, which in turn, originate morphological modification of the film. This article describes the phenomenology of these thermal effects when YBa2Cu3O7- films are grown by Pulse Laser Deposition. The surface morphological modification of the target includes elongated hemispherical particles in a range from 1 µm to 7 µm, cones, folds and regions that show melting processes with subsequent resolidification. YBa2Cu3O7- films exhibit spherical particles from 0.4 µm to 6 µm, terraces, bumps, and porosity. Applications in micro and nanotechnologies are limited by this film morphology. YBa2Cu3O7- films have been grown on electrolytic copper. The surface morphology of targets and films is studied by scanning electron microscopy. The results show that the thermal effects are decisive in morphology modification and surface stoichiometric film composition.
The Violent Legacy of Constantine’s Militant Piety

Field: Arts and Humanities (Social Sciences)

It should shock us – and it would have shocked a number of early fourth-century Christians – that the Emperor Constantine (306–37) continued a seventy-five-year long tradition of soldier-emperors' militant piety from the time he took power,1 into the period of his conversion to Christianity, and up to the end of his reign. For the ease with which Constantine promoted the novel image of a Christian military commandant, I argue, we have Lactantius (fl. 299–315) to thank. In his Divine Institutes, this African professor of rhetoric set out the template for Constantine as the ideal Christian conqueror-emperor and violent avenger of evil. As Lactantius identified this 'evil' as the actions of polytheistic emperors who had persecuted Christians, his template envisions the emperor as an agent of religious violence in response to religious violence. However comprehensible Lactantius' response, this image is wildly at odds with the previous conception of the Christian hero, that of the martyr, known for enduring, not promoting, violence. Taking inspiration from the circumstances of Constantine's accession, Lactantius' Divine Institutes sketched the outline of a Christian sovereign.