Miracle-dz/UniFAR-FTUs huggingface dataset:
Aerobic exercise enhances cognitive training effects in first-episode schizophrenia: randomized clinical trial demonstrates cognitive and functional gains

Abstract Background Cognitive training (CT) and aerobic exercise both show promising moderate impact on cognition and everyday functioning in schizophrenia. Aerobic exercise is hypothesized to increase brain-derived neurotrophic factor (BDNF) and thereby synaptic plasticity, leading to increased learning capacity. Systematic CT should take advantage of increased learning capacity and be more effective when combined with aerobic exercise. Methods We examined the impact of a 6-month program of cognitive training & exercise (CT&E) compared to cognitive training alone (CT) in 47 first-episode schizophrenia outpatients. All participants were provided the same Posit Science computerized CT, 4 h/week, using BrainHQ and SocialVille programs. The CT&E group also participated in total body circuit training exercises to enhance aerobic conditioning. Clinic and home-based exercise were combined for a target of 150 min per week. Results The MATRICS Consensus Cognitive Battery Overall Composite improved significantly more with CT&E than with CT alone (p = 0.04), particularly in the first 3 months (6.5 v. 2.2 T-score points, p < 0.02). Work/school functioning improved substantially more with CT&E than with CT alone by 6 months (p < 0.001). BDNF gain tended to predict the amount of cognitive gain but did not reach significance. The cognitive gain by 3 months predicted the amount of work/school functioning improvement at 6 months. The amount of exercise completed was strongly associated with the degree of cognitive and work/school functioning improvement. Conclusions Aerobic exercise significantly enhances the impact of CT on cognition and functional outcome in first-episode schizophrenia, apparently driven by the amount of exercise completed.
Haematological profiles of pigs of different age in relation to the presence or absence of porcine reproductive and respiratory virus, porcine circovirus type 2 and hepatitis E virus

Abstract This study was aimed to assessing haematological parameters in pigs of different age categories from six farms differing in the presence or absence of selected pathogens. The following categories were included: 5 age groups of growers, fatteners and breeding sows. Individual blood samples for determining complete blood count and white blood cell differential count were taken. Group samples of oral fluid and faeces were collected from each farm and tested for detection of Porcine Reproductive and Respiratory Virus (PRRSV), Porcine Circovirus Type 2 (PCV2), and Hepatitis E Virus (HEV) using PCR, RT-PCR, and qRT-PCR protocols. On farms free of PRRSV, PCV2 and HEV, the age of pigs had significant effect on: white blood cell count (WBC), haemoglobin concentration (Hb), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration, platelet count (PLT), percentage of neutrophils, lymphocytes and eosinophils and absolute numbers of neutrophils, lymphocytes, monocytes, basophils and ‘large unstained cells’ (LUCs). On positive farms all observed blood parameters except the percentage of LUCs were significantly affected by the age. The percentages of lymphocytes, mean corpuscular volume (MCV) and haematocrit were significantly lowered by PRRSV, while WBC, PLT, percentage and absolute numbers of neutrophils, basophils and LUCs were increased. Nine-week-old pigs with PCV2 had significantly lower red blood cell count, PLT, percentage and absolute numbers of monocytes and LUCs, and significantly higher MCV, MCH, percentage of neutrophils and percentage and absolute number of eosinophils than 9-week-old pigs with PCV2 and HEV. Age-related changes in haematological parameters occurred in PCR negative and positive farms. HIGHLIGHTS Age-related changes in haematological parameters were present in PCR negative farms and in PCR positive farms in relation to selected pathogens. Values for several haematological parameters in 9-week-old pigs with a monoinfection differed significantly from those in pigs of the same age with two viral infections. To interpret results of haematological analyses correctly, it is important to consider the haematological analyser used, the pig age and, health history, and clinical data.
Forecasting stock market realized volatility: the role of global terrorist attacks

ABSTRACT In this study, we provide the predictive linkage between global terrorist attacks and stock market volatility. We propose the predictive model by extending the prevailing heterogeneous autoregressive model for realized volatility (HAR-RV) with global terrorism and denote it as HAR-RV-GT. According to the Diebold – Mariano test and the model confidence set, we consistently find the superior forecasting performance delivered by the HAR-RV-GT model. For comprehensive empirical results, we extend the key finding to various settings including the consideration of popular jump and leverage effects, the use of more types of forecasting models, and the inclusion of long-horizon global terrorist attacks as well as the domestic terrorist attacks in the US. Additionally, the substantial economic gains based on a mean-variance investor confirm the valuable forecasting role of terrorist attacks. Our results are robust to a wide range of checks.
Laser powder bed fusion of Ti6Al4V-xCu: Process parameters

The original intent of coating biomedical and surgical devices surface with antibacterial agents is to prevent infections. However, the difference in the material properties between the biomedical devices and the coating materials causes the coating material to spall from the biomedical devices. To address the situation, the current research focused on investigating the possibility of using laser powder bed fusion process a subset of additive manufacturing technology to in situ alloy 1 at% Cu with Ti6Al4V. In situ alloying 1 at% Cu with Ti6Al4V would lead to the production of medical and surgical devices with inbuilt antibacterial property. To determine the optimum process parameters that could be used to manufacture the Ti6Al4V- 1 at% Cu alloy, single tracks were produced over a wide range of laser powers and scanning speeds and analyzed. Process parameters of 170 W, 1.0 ms-1 and hatch distance of 80 µm were identified as the possible optimum process parameters for manufacturing the Ti6Al4V- 1 at% Cu alloy. Rescanning was identified as a good strategy to improve the surface roughness, homogeneity and surface concentration of the Cu in the Ti6Al4V- 1 at% Cu alloy matrix.
Resistance to Phosphine In Rice Weevil Sitophilus oryzae (L.) from South India

Rice weevil Sitophilus oryzae (L.) is one of most serious insect pests of stored grains. Management of this is thus vital and fumigation with phosphine gas is the most common method. However, overreliance on this has resulted in the development of heritable resistance in S. oryzae. The detection of frequency and distribution of phosphine resistance is crucial for the development of resistance management strategy. This study assesses the frequency, strength and distribution of phosphine resistance in S. oryzae populations from four southern states of India viz., Tamil Nadu, Kerala, Andhra Pradesh and Telangana. The bioassay results revealed that all these survived at both the discriminating concentrations of 0.04 and 0.25 mg/ l. There were no susceptible and weak resistant populations, and exhibited varied frequency of strong resistance ranging from 13.33 to 80.90%. The populations from Pudukottai (80.90%) recorded high frequency of strong resistance followed by Trichy (68.97%) and Tirunelveli (67.82%) ones; the one from Thiruvarur exhibited lowest (13.33%). The results indicated that the resistance to phosphine in S. oryzae was common and prevalence of strong resistant individuals was prevalent across the sampled regions.
Resilient and sustainable infrastructure systems: a comparative analysis of post-disaster shelter coordination, stakeholder participation, and training

Conceptualization (AC) Thinking about, analyzing, or systematically planning, rather than using sensation as a guide Diagrams; maps Active Experimentation (AE) Ability to engage with objects or materials through testing or trial and error Material demonstration A second coder independently coded a sample of 42 interviews (two interviews from each community and four cross-cutting interviews) and inter-rater reliability scores, in the form of Cohen’s Kappa coefficient, were calculated in order to ensure robust construct validity. Kappa values of 0.4 were used as a threshold for acceptable agreement (Landis and Koch 1977). In the case that any interview did not meet this threshold, both coders revisited coding until consensus could be reached. Using interview codes, in combination with documentation and observations, we developed a typology of construction training methods used across shelter projects.
Pixel-Wise Ship Identification From Maritime Images via a Semantic Segmentation Model

Accurately identifying ships from maritime surveillance videos attracts increasing attention in the smart ship community, considering that the videos provide informative yet easily understandable spatial–temporal traffic information for varied maritime traffic participants. Previous studies (e.g., ship detection and ship tracking) are conducted by learning distinct features from training samples labeled in terms of bounding boxes, and thus, background pixels may be wrongly trained as ship features. To bridge the gap, we propose a novel approach for achieving a pixel-wise ship segmentation and identification task through a novel design of U-Net deep learning architecture (denoted as EU-Net). The encoder of the EU-Net extracts distinct ship features from input maritime images, and its decoder outputs ship segmentation results in the pixel-wise manner. The proposed EU-Net model consists of encoder and decoder parts via the help of a convolution layer, a depth separable convolution layer, a softmax layer, and so on. More specifically, the EU-Net model identifies each pixel into ship or non-ship as the final output. Experimental results suggest that our proposed model can accurately identify ship (in terms of pixels), considering that the ship segmentation accuracies were larger than 99%. The proposed ship segmentation framework can be further adaptively deployed in the ship sensing system for maritime traffic situation awareness and intelligent visual navigation in a smart ship era.
RealStrong Tricho Acti-Plus (Trichoderma koningii) for Enhanced Plant Growth and Yield of Chili

Tricho Acti-Plus (produced by Sabah Softwoods Hybrid Fertilizer Sdn. Bhd.) is a powder-based microbial inoculant containing the active ingredient of Trichoderma koningii, designed to control fungal diseases as a biocontrol agent in plants and indirectly support plant growth and yield. Chili producers are habituated to apply environmentally damaging chemical-based inorganic fertilizers for the better production and yield of chili. Which is one of the major causes of damaging soil productivity. Trichoderma koningii is mainly well-known to be used against fungal diseases of plants but its potential use for chili growth and yield is still unknown. With this purpose in mind in this experiment different concentrations of Tricho Acti-Plus solution were prepared as treatments; 0.0 ml (T1, control), 200 ml (T2), 400 ml (T3) and 600 ml (T4) and applied two (2) times to the chili plants as foliar spray; at the time of seedling transplanting till 35 days after transplanting, aiming to investigate Tricho Acti-Plus effectiveness on the growth and yield of local chili bara (Variety-1) and chili kulai 461 (Variety-2). From the findings it was observed that application of Tricho Acti-Plus significantly boosted up the vegetative growth and yield of both chili varieties, but rarely a positive effect was observed on yield parameters of Variety-1. Based on overall performance among 4 treatments T3 exhibited significantly (p≤0.05) the highest effectiveness for both vegetative growth and yield parameters; on plant height (55.64 cm), numbers of branches (61.2), numbers of leaves (341), numbers of fruits (125 at week 10; 77.2 at week 12), fruit length (4.3 cm at week 10; 4.08 cm at week 12), fruit weight (1.4 g) and total yield (0.11 kg at week 10; 0.068 kg at week 12). Meanwhile, the similar results were also achieved for Variety-2 under T3 for numbers of branches (51.8), numbers of leaves (213.6), fruit length (14.4 at week 10, 13.9 at week 12) and total yield (0.171 Kg at week 10). Only for few of the parameters T4 and T1 (control) also exhibited best performance. Therefore, based on the top performance T3 is recommended for the best vegetative growth and yield of both chili varieties. From the overall results of this experiment it can be decided that the RealStrong Tricho Acti-Plus is suitable to be used as a biofertilizer for the growth, yield and quality of chili besides the commonly known capability to prevent from fungal diseases.
Electricity Theft Detection Using Euclidean and Graph Convolutional Neural Networks

The widespread penetration of advanced metering infrastructure brings an opportunity to detect electricity theft by analyzing the electricity consumption data collected from smart meters. However, existing models have poor performance in electricity theft detection, since most of them fail to capture the time dependence, periodicity, and latent feature from complex electricity consumption data. To address above concerns, a graph convolutional neural network (GCN) and a Euclidean convolutional neural network (CNN) are combined to form a novel model for electricity theft detection in this paper. On one hand, the high-dimensional power load curves are modeled as a graph from a new perspective on graph theory. Then, the GCN depicts the time dependence and periodicity by performing graph convolutional operations. On the other hand, the CNN captures the latent features from the power load curves by carrying out Euclidean convolutional procedures. Numerical simulations show that the proposed model integrates the benefits of GCN and CNN, leading to superiority over the popular benchmarks in electricity theft detection.
Negotiating the changing structure of opportunity: working-class students’ transitions to university across generations

Abstract This paper examines the history of the expansion of educational opportunities in the UK, to understand how different generations of working-class students managed to access HE. Based on 23 life-story interviews with working-class students, the study highlights how the changing dynamics of the structure of compulsory education and the labour market have shaped working-class students’ views of HE. Exploring the changing structure of opportunity, and how this has shaped working-class students’ sense of social position, is key to understanding the uneven pattern of working-class pathways to HE across generations. It is evident that different types of secondary school experience and opportunities in the labour market affected working-class pathways to university with the nature of the school environment and employment shaping various expectations. This article concludes that people’s understanding of their social position within the educational and occupational opportunity structure leads to variations in working-class transitions to university across different generations.
Are Organizational Interventions Effective in Protecting Healthcare Worker Mental Health during Epidemics/Pandemics? A Systematic Literature Review

It is unclear how to effectively protect healthcare workers’ mental health during infectious disease epidemics. Targeting the occupational determinants of stress may hold more promise than individual stress management, which has received more focus. Through a systematic review of the 2000–2021 English- and French-language scientific literature, we evaluated the effectiveness of organizational and psychosocial work environment interventions to protect healthcare workers’ mental health in an epidemic/pandemic context. Evidence from medium- and high-quality studies was synthesized using GRADE. Among 1604 unique search results, 41 studies were deemed relevant, yielding 34 low-quality and seven medium-quality studies. The latter reported on promising multi-component prevention programs that combined staffing adjustments, work shift arrangements, enhanced infection prevention and control, recognition of workers’ efforts, psychological and/or logistic support during lockdowns (e.g., accommodation). Our confidence in the effectiveness of reviewed interventions is low to very low, however, owing to methodological limitations. We highlight gaps in the reporting of intervention process and context elements and discuss theory and implementation failure as possible explanations for results. We conclude by urging authors of future studies to include and document detailed risk assessments of the work environment, involve workers in solution design and implementation and consider how this process can be adapted during an emergency.
THE EFFECT OF DIVIDEND POLICY AND MACROECONOMICS ON STOCK PRICES

This study analyzes the Effect of Dividend Policy and Macroeconomics on Stock Prices. Dividend Policy is calculated using the Dividend Payout Ratio (DPR), while Macroeconomics is proxied by inflation, interest rates, and exchange rates, and the Stock Price is measured by the closing price. The population in this study is all manufacturing companies in the basic and chemical industrial sectors listed on the Indonesia Stock Exchange in 2016-2020. The technique used in this study was purposive sampling with five criteria as consideration and 11 company samples with a five-year period were obtained, so that 55 observational data were obtained. Data analysis in this study used panel data regression with the help of windows Eviews-9. The results of this study can be seen simultaneously that the variables of DPR, inflation, interest rates, and exchange rates have a significant influence on stock prices. However, partially only the exchange rate variable has a significant influence on the stock price, while the DPR variable, inflation, and interest rate do not affect the stock price.
On the mod-p representations ofunramified U(2,1)

Let E=F be an unrami�ed quadratic extension of non-archimedean local �elds of odd residue characteristic p and let G be the unitary group in three variable U(2; 1)(E=F). In this thesis, we explore the smooth representation theory of G over a �eld ~E of characteristic p. The main results are as follows. Firstly, we have classi�ed the simple modules of the pro-p Iwahori-Hecke algebra of G and described the so-called supersingular ones, which is one-dimensional character. Secondly, for the hyperspecial maximal compact open subgroup K0 of G and any irreducible smooth representation � of K0, and for any nonzero � 2 ~E , we have determined the subquotients of indG K0�=(T�
DC Grid Interface for the Integrated Generator–Rectifier Architecture in Wind Energy Systems

An integrated generator–rectifier architecture is a promising candidate for harvesting energy from offshore wind. The most attractive feature of this architecture is that the majority of the power is processed by reliable, efficient, and inexpensive diodes operating at the generator frequency. The use of dc collection grids (medium-voltage or high-voltage dc) is an emerging trend in a wind farm. This article proposes a dc grid interface circuit for the integrated generator–rectifier and a control strategy for maximum power point tracking. Using a 10-MW illustrative design, it is shown that the proposed architecture reduces the total switch volt–ampere rating requirement by 22.8%, which translates into overall loss reduction ranging between 28.3% and 71.7%, depending on the extracted power. The maximum power point tracking algorithm is implemented based on the relationship between the active rectifier $d$-axis current and the generated power. Experimental results obtained from a laboratory prototype validates the effectiveness of the proposed converter architecture and its control strategy. This approach opens up opportunities for integrating dc collection networks with offshore wind farms through an efficient, reliable, and cost-effective energy conversion system.
Neuromodulation Therapy for Chemotherapy-Induced Peripheral Neuropathy: A Systematic Review

Chemotherapy-induced peripheral neuropathy (CIPN) is a debilitating and painful condition in patients who have received chemotherapy. The role of neuromodulation therapy in treating pain and improving neurological function in CIPN remains unclear and warrants evidence appraisal. In compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we performed a systematic review to assess change in pain intensity and neurological function after implementation of any neuromodulation intervention for CIPN. Neuromodulation interventions consisted of dorsal column spinal cord stimulation (SCS), dorsal root ganglion stimulation (DRG-S), or peripheral nerve stimulation (PNS). In total, 15 studies utilized SCS (16 participants), 7 studies utilized DRG-S (7 participants), and 1 study utilized PNS (50 participants). Per the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria, there was very low-quality GRADE evidence supporting that dorsal column SCS, DRG-S, and PNS are associated with a reduction in pain severity from CIPN. Results on changes in neurological function remained equivocal due to mixed study findings on thermal sensory thresholds and touch sensation or discrimination. Future prospective, well-powered, and comparative studies assessing neuromodulation for CIPN are warranted.
Artificial T- Perches As Attractant For Insectivorous Birds Against Helicoverpa armigera (hubner)

Supplementing the foraging efficacy of insectivorous birds by installing artificial ‘T- perches’ can be used in controlling the cotton boll worm Helicoverpa armigera (Hubner) in berseem (Trifolium alexandrinum L) fodder crop. The present study explored this using T-perches placed at two heights (120 and 240 cm). A total of 22 bird species were observed, of which 15 species used 120 cm high perches while nine perched on 240 cm high one. Common myna was the most abundant with seasonal abundance of 31.75 and 35.96% on 120 and 240 cm perches, respectively. In all 12 species were observed in control field, out of which nine were found to be insectivorous. More diversity was observed in the fields installed with T- perches as compared to control field. Comparison of bird species in fields installed with 120 and 240 cm T-perches revealed more preference for 120 cm high one, may be because of low height of the berseem crop. These T-perches also proved effective in reducing the cotton boll worm H. armigera incidence- 3.50 larvae/m2 in fields installed with 120 cm perches; and 4.70 larvae/m2 in fields installed with 240 cm perches as against 6.85 larvae/m2 in control field). These results suggest that the perches are acting as attractants for birds and play an effective role in controlling H. armigera.