Miracle-dz/UniFAR-FTUs huggingface dataset:
Chinese-English bilinguals show linguistic-perceptual links in the brain associating short spoken phrases with corresponding real-world natural action sounds by semantic category

ABSTRACT Higher cognitive functions such as linguistic comprehension must ultimately relate to perceptual systems in the brain, though how and why this forms remains unclear. Different brain networks that mediate perception when hearing have recently been proposed to respect a taxonomic neurobiological model for the processing of different acoustic-semantic categories of real-world natural sounds. Using functional magnetic resonance imaging (fMRI) with Chinese/English bilingual listeners, the present study explored whether reception of short spoken phrases that described corresponding natural sounds, in both Chinese (Mandarin) and English, would engage overlapping brain regions at a semantic category level. The results revealed a double-dissociation of cortical regions that were preferential for representing knowledge of human versus environmental action events, whether conveyed through natural sounds or the corresponding spoken phrases depicted by either comprehended language. These findings of cortical hubs exhibiting linguistic-perceptual knowledge links at a semantic category level should help to advance neurocomputational models of the neurodevelopment of language systems.
Natural variation in social conditions affects male mate choosiness in the amphipod Gammarus roeselii

Abstract The extent of male mate choosiness is driven by a trade-off between various environmental factors associated with the costs of mate acquisition, quality assessment and opportunity costs. Our knowledge about natural variation in male mate choosiness across different populations of the same species, however, remains limited. In this study, we compared male mate choosiness across 10 natural populations of the freshwater amphipod Gammarus roeselii (Gervais 1835), a species with overall high male mating investments, and evaluated the relative influence of population density and sex ratio (both affecting mate availability) on male mate choosiness. We investigated amplexus establishment after separating mating pairs and presenting focal males with a novel, size-matched female from the same population. Our analysis revealed considerable effects of sex ratio and (to a lesser extent) population density on time until amplexus establishment (choosiness). Male amphipods are able to perceive variable social conditions (e.g., sex ratio) and modify their mating strategy accordingly: We found choosiness to be reduced in increasingly male-biased populations, whereas selectivity increases when sex ratio becomes female biased. With this, our study expands our limited knowledge on natural variations in male mate choosiness and illustrates the importance of sex ratio (i.e., level of competition) for male mating decisions in natural environments. Accounting for variation in sex ratios, therefore, allows envisioning a distinctive variation of choosiness in natural populations and highlights the importance of considering social background information in future behavioral studies.
SPATIAL PLANNING LEGISLATION IN GHANA: EXPLORING THE EVOLUTION, CONTRIBUTIONS, AND THE WAY FORWARD.

This paper explored the evolution of spatial planning in Ghana’s context. Using Institutional Analytical Framework, the paper posits that spatial planning has gone through several changes over the years. Additionally, it was revealed that spatial planning as an idea dates back to nineteenth-century industrialization and urbanization that mostly happened in developed countries. These had less focus on civic design and came to be more competent in state policy. Although planning in Ghana antedates the early 90s, nationwide spatial planning commenced with the preparation and initiation of CAP 84 (Town and Country Planning Ordinance) in 1945. Fast forward spatial planning in Ghana is presently being done by tenets and provisions as captured in Act 925 - Land Use and Spatial Planning Act 2016. However, this paper establishes possible conflict and duplication of planning efforts and practices by looking at Act 925 and Act 480 - National Development Planning System Act, 1994. It envisages that planning in Ghana will go through another evolution to avert the “spatial” and “policy” perspectives to planning and as well attain coordinated efforts to guide the course of planning in Ghana. Keywords: Spatial planning, Land use, Evolution, Planning conflict
Characterization of Oleaster-Leafed Pear (Pyrus elaeagrifolia Pall. subsp. elaeagrifolia) Fruits in Turkey

Oleaster-leafed pear (Pyrus elaeagrifolia Pall. subsp. elaeagrifolia) fruits are used for food and dietary supplements in Turkey, and seedlings are used as rootstock for pear cultivars. Information on the effect of genotypes on oleaster-leafed pear fruit characteristics is needed in order to optimize production of quality food and dietary supplements. The characteristics of oleaster-leafed pear fruits relative to genetic background were evaluated from 16 wild grown oleaster-leafed pear genotypes at eastern Turkey. Genotype influenced ripening dates, fruit weight, fruit length/width ratio, fruit pedicel length, fruit flesh texture, fruit firmness, the number of seeds per fruit, soluble solid content, titratable acidity, total phenolic content, total flavonoid content and antioxidant activity. Analysis of the data obtained from 16 oleaster-leafed pear genotypes demonstrated a highly significant influence of genotype on fruit characteristics. The genotypes G12, G13 and G9 had the highest fruit weight (19.22, 18.54 and 18.30 g) and G9 the highest total phenolic content (122 mg gallic acid equivalent/100 g fresh fruit). The genotypes G3, G5, G11 and G13 had the slightly sandy fruit flesh texture and those genotypes may be good selections for processing and producing health oleaster-leafed pear products.
Sustainable generation of patient‐led resources in a learning health system

Patient and Family Advisory Councils (PFACs) are an emerging mechanism to integrate patient and family voices into healthcare. One such PFAC is the Patient Advisory Council (PAC) of the ImproveCareNow (ICN) network, a learning health system dedicated to advancing the care of individuals with pediatric inflammatory bowel disease (IBD). Using quality improvement techniques and co‐production, the PAC has made great strides in developing novel patient‐led resources.
A Review on Nutrition and Epigenetics with their Possible Influence on Cancer Development

Epigenetics is an exciting area of study in today’s biological field. Epigenetics is commonly known as the study where modifications are brought about in gene expression by altering the way chromatin is arranged without causing any change in the existing DNA sequences; i.e., the non-Mendelian inheritance of DNA modifications [1-3]. Epigenetic changes can be caused by factors such as environmental factors, dietary intake, medications etc., and very often, these changes can be reversible [3]. Epigenetic changes during early pregnancy are quite unique; however, the epigenetic changes that take place during the livelihood of a person are often contributed especially by the dietary intakes of an individual [3]. These modifications aspects associated with epigenetics may eventually lead to the onset of fatal diseases even cancer [3]. An array of phytochemicals like the sulforaphane (SFN) from cruciferous vegetables (like broccoli, cauliflower, cabbage, etc.) and especially green tea having epigallocatechin-3-gallate (EGCG) have been shown to possess both the anti-oxidant and the anticancer epigenetic effects thereby suppressing the telomerase, encoded by the human telomerase reverse transcriptase (hTERT) which is central to tumor progression; and hence they may be effective for the prevention of the epigenetic abnormalities of other age-related complications including cancer [2]. Calories from the dietary intake may also be beneficial in counteracting cancer as well as ranging the average lifespan [2]. This is interesting to ponder that only the genotype is always not responsible for the onset of cancer; rather, the dietary intake may largely influence in this regard [3]. Previous studies showed the interrelationship between the genomic organization, epigenetics, the dietary nutrition instigating breast cancer, colon cancers, and colorectal cancers [2,3]. In the current review, further incremental inputs on the existing knowledge have been given focusing on the connection between epigenetics and dietary intake triggering the commencement of cancer. Some of the aspects of dietary intake on epigenetic modification and cancer development have been highlighted.
Bethe-Salpeter equation approach with electron-phonon coupling for exciton binding energies

We introduce a simple scheme in order to account for the coupling with longitudinal phonons within the first-principles Bethe-Salpeter approach based on many-body perturbation theory. This allows one to evaluate the reduction of exciton binding energies observed in polar semiconductors. The electron-phonon coupling is modeled from the macroscopic dielectric response in the infrared which, in turn, is calculated through density functional perturbation theory. In this way, the additional computational cost determined by our method is negligible. We first illustrate our approach in the case of bulk ZnS. Then, we discuss the limit of the Bethe-Salpeter equation in the case of strongly delocalized excitons and we show how the excitonic series of bulk ${\mathrm{Cu}}_{2}\mathrm{O}$ is well reproduced.
Mapping Permanent Gullies in an Agricultural Area Using Satellite Images: Efficacy of Machine Learning Algorithms

Gullies are responsible for detaching massive volumes of productive soil, dissecting natural landscape and causing damages to infrastructure. Despite existing research, the gravity of the gully erosion problem underscores the urgent need for accurate mapping of gullies, a first but essential step toward sustainable management of soil resources. This study aims to obtain the spatial distribution of gullies through comparing various classifiers: k-dimensional tree K-Nearest Neighbor (k-d tree KNN), Minimum Distance (MD), Maximum Likelihood (ML), and Random Forest (RF). Results indicated that all the classifiers, with the exception of ML, achieved an overall accuracy (OA) of at least 0.85. RF had the highest OA (0.94), although it was outperformed in gully identification by MD (0% commission), but the omission error was 20% (MD). Accordingly, RF was considered as the best algorithm, having 13% error in both adding (commission) and omitting pixels as gullies. Thus, RF ensured a reliable outcome to map the spatial distribution of gullies. RF-derived gully density map reflected the agricultural areas most exposed to gully erosion. Our approach of using satellite imagery has certain limitations, and can be used only in arid or semiarid regions where gullies are not covered by dense vegetation as the vegetation biases the extracted gullies. The approach also provides a solution to the lack of laser scanned data, especially in the context of the study area, providing better accuracy and wider application possibilities.
A Tone Analysis of the Non-Financial Disclosure in the Automotive Industry

This study’s purpose is twofold. On the one hand, it analyzes the relationship between the profitability of firms and the tone of nonfinancial disclosures; on the other hand, it tests the relationship between the environmental, social, and governing (ESG) performance of firms and the tone of nonfinancial disclosures on the automotive sector under two different and competing approaches, which are incremental information and impression management. The sample is composed of 68 nonfinancial reports issued by 17 automotive organizations between the years 2016 and 2020. Data analysis proceeded in two stages. First, a content analysis was performed to assess the linguistic attributes of the nonfinancial disclosure. Second, an inferential regression analysis was performed to test the hypothesized associations between firms’ performance and tone of their disclosures. The results of this study are aimed at providing evidence of the determinants of the verbal tone in the corporate nonfinancial reporting in a specific industry.
Impact of Hospitalized Nutritional Formula on Anthropometric, Clinical and Biochemical Indices among Egyptian Adult Cardio-Thoracic Critically Ill Patients: A Single Institutional Study

Background: Malnutrition is a common consequence notably in patients admitted to the intensive care unit. Aim of the study: was to assess the Impact of hospitalized nutritional formula on anthropometric, clinical and biochemical indices among Egyptian adult cardio-thoracic Critically Ill Patients on admission and discharge days. Methods: Totally, A convenient sample of 100 cardiothoracic patients was evaluated from admission to discharge in ICUs at Damietta Chest Disease Hospital in Egypt. The patients' anthropometric measurements, clinical data and biochemical indices were assessed As well, hospital diet prescription and intake was also evaluated. Results: High significant statistical difference patients' clinical data on admission and after one week such as body built (X2 = 52.6; p = 0.0), skin color (X2= 12.9; p = 0.02), skin turgor (X2= 13.19; p = 0.0), and occurrence of bed sore (X2= 27.7; p = 0.0). On the other hand, no significant statistical differences were found in the patients' weight and body mass index on admission and discharge (one week). Moreover, significant statistical differences were found in patients biochemical indices such as albumin (t= 3.03; p=0.003) and lymphocyte counts (3.74; p=0.000). So, the 88 % of patients showed decreased albumin after one week when compared to admission time. While, 10 % of patients showed increased lymphocytic count after one week of admission when compared to admission time. Conclusion and Recommendations: Clinical assessment, anthropometric, and biochemical indices are essential for evaluation, follow-up and management of cardiothoracic critically ill patients
Gender, place, and agricultural extension: a mixed-methods approach to understand farmer needs in Liberia

ABSTRACT Purpose This study explores the intersection of gender and place with agricultural extension services to understand disparities in resource and information access and build community resilience in post-conflict Liberia. It emphasizes how such intersections may be further compounded by climate change and provides possible solutions. Methodology Using a community-based research approach, 352 surveys and 44 focus groups were conducted in 22 communities in 3 counties in north-central Liberia. Subsequently, qualitative, quantitative, and spatial analyses were done to explore gender and place-based differences in farmer access to agricultural resources and household agency. Findings Study results show that women farmers have less access to technology, agricultural resources and information; higher, combined productive and domestic, labor burdens; and that farmers of both genders want more female extension officers. Practical Implications This study provides critical data to help effectively target limited expenditures on national extension services to smallholder farmers in post-conflict settings. Further, solutions for practitioners to adaptively mitigate farming challenges enhanced by climate change. Theoretical Implications Studying the intersection among gender, rural isolation and diminished capacity in post-conflict countries will enhance understanding of (extension service) capacity in settings with multiple drivers affecting gender inequalities. Originality Improve the overall understanding of how compounding factors such as gender and place effect extension service access and the ability of farmers to adapt to change, in Liberia and other post-conflict settings.
Effect of C- and Fe-doped GaN buffer on AlGaN/GaN high electron mobility transistor performance on GaN substrate using side-gate modulation

Side-gate (SG) modulation on AlGaN/GaN high electron mobility transistor performance with C-doped GaN buffer (C-GaN) and Fe-doped GaN buffer (Fe-GaN) layer on GaN substrate is experimentally investigated. The SG contacts are located 6 μm from either side of the device mesa, and etched near the channel layer. SG modulation is done by two methods, that is, applying a fixed side-gate voltage (V SG) bias while the DC characteristics are measured, and bidirectional dual sweeping the applied V SG while measuring the on-state drain current (I D). At fixed high negative V SG, a drastic decrease in transconductance and I D is evident for C-GaN as compared to Fe-GaN. Moreover, evidence of larger memory effect in C-GaN, is demonstrated as shown in the I D hysteresis feature using bidirectional dual-sweep V SG measurements. The I D decreased at high negative V SG is inferred to be due to the field modulation caused by the SG.
COMPARATIVE IN- VITRO EVALUATION OF VANCOMYCIN MINIMUM INHIBITORY CONCENTRATIONBY AGAR DILUTION AND E-STRIP IN METHICILLIN RESISTANT STAPHYLOCOCCUS AUREUS

Objective: To compare the in-vitro efficacy by determining Minimum Inhibitory Concentration of Vancomycinusing the reference Agar Dilution to the E-Strip in Methicillin Resistant Staphylococcus aureus isolates. Study Design: Validation study. Place and Duration of Study: The department of Microbiology Army Medical College/National University ofMedical Sciences in collaboration with Pak Emirates Military Hospital Rawalpindi, from Dec 2016 to Dec 2017. Methodology: Non-duplicate 84 isolates of Methicillin resistant Staphylococcus aureus from various clinical specimens were included in the study. All these isolates were screened for susceptibility to glycopeptide by E-strips method (Bio merieux) as well as Agar Dilution method, using vancomycin concentrations of 0.25, 0.50, 1.00, 2.00, 4.00 and 8. 00µgm/ml respectively in two fold serial dilutions. Results: There was an overall agreement on 83 samples by both the methods i.e. 83 were Vancomycin SensitiveStaphylococcus aureus by both methods while one isolate with intermediate resistance to Vancomycin was onlydetected by Agar Dilution. The sensitivity of the E–strips compared to Agar Dilution was found to be 100%. Thepositive predictive value was 98.8% with a diagnostic accuracy of 98.8%. Specificity and negative predictive valuecould not be ascertained for E-strips because of the limitation of the method to detect the Vancomycin Intermediate Staphylococcus aureus isolates. Conclusion: E-strip can be a convenient alternative to the gold standard Agar Dilution but its inability to identifyVISA challenges its reliability in determining the Vancomycin resistance in MRSA isolates.
Safety of Radiotherapy in Patients with Cardiac Implantable Electronic Devices

Background: Patients with cardiac implantable electronic devices (CIEDs) usually have multiple comorbidities, and some require radiotherapy (RTx) for cancer treatment. However, the effect of RTx in patients with CIEDs is unclear. We aimed to examine the effectiveness of RTx in patients with CIEDs, and share our real-world clinical experience in this population.Methods: We recruited patients with a pacemaker or implantable cardioverter-defibrillator who underwent RTx between April 2009 and August 2019. RTx and CIED interrogation data were collected from electronic medical records. Patients who received an RTx cardiology consultation and CIED interrogation before and after RTx were assigned to the proper consultation (PC) group. All others were enrolled in the no-consultation (NC) group. Results: Out of 23 patients, 3 (13.0%) and 20 (87.0%) patients were assigned to the PC and NC groups, respectively. The most common RTx sites were the abdomen and pelvis (34.8%). The mean cumulative dose was 50.1 ± 11.7 Gy, and the mean beam energy was 10.3 ± 4.01 mV. The PC and NC groups showed no significant difference in cumulative dose (51.5 ± 12.1 vs. 45.3 ± 3.9, p=0.19) or beam energy (10.4 ± 4.03 vs. 7.0 ± 1.41, p=0.08). There was no significant between-group difference in any pre-RTx CIED parameter. Two patients died during the study period; both were in the NC group. The relationship between death and device malfunction was not clear in either case.Conclusions: Patients with CIEDs frequently do not receive a cardiology consultation before RTx. Although radiotherapy-related CIED complications occur stochastically and are difficult to predict, cooperation between the cardiology and radiation therapy departments, and regular device follow-up are necessary for the safety of these patients.
Usage of Energy Management System in Chemical Process Industry

Primarily based trendy account energy the board and cycle robotization for a industry with proportion controls is projected. The energy the board is finished by 2 calculations particularly Energy potency rule and cargo Sharing rule. Varied siphons run in no heap or faithfully low burden condition, simply to forestall over-burdening. Utilizing the energy productivity calculation, No heap running of siphons is determined and killed once a amount delay. Every machine has its own restricted running life. In business to possess high dependableness reserve machines area unit likewise introduced nevertheless not used adequately. The heap sharing calculation plans equivalent running hours to order and first siphons. The cycle management is accomplished by mistreatment the inputs of transducers like stream, weight and temperature sensors to the framework, the signs area unit shipped off regulator and therefore the regulator cycle the signs and impel the elemental transfers to figure the cycle. The entire framework is incorporated and controlled through a SCADA framework .
A Machine Learning Approach to Predicting New‐onset Depression in a Military Population

Objective Depression is one of the most common mental disorders in the United States in both civilian and military populations, but few prospective studies assess a wide range of predictors across multiple domains for new‐onset (incident) depression in adulthood. Supervised machine learning methods can identify predictors of incident depression out of many different candidate variables, without some of the assumptions and constraints that underlie traditional regression analyses. The objectives of this study were to identify predictors of incident depression across 5 years of follow‐up using machine learning, and to assess prediction accuracy of the algorithms. Methods Data were from a cohort of Army National Guard members free of history of depression at baseline (n = 1951 men and 298 women), interviewed once per year for probable depression. Classification trees and random forests were constructed and cross‐validated, using 84 candidate predictors from the baseline interviews. Results Stressors and traumas such as emotional mistreatment and adverse childhood experiences, demographics such as being a parent or student, and military characteristics including paygrade and deployment location were predictive of probable depression. Cross‐validated random forest algorithms were moderately accurate (68% for women and 73% for men). Conclusions Events and characteristics throughout the life course, both in and outside of deployment, predict incident depression in adulthood among military personnel. Although replication studies are needed, these results may help inform potential intervention targets to reduce depression incidence among military personnel. Future research should further refine and explore interactions between identified variables.