jimnoneill/paper-to-field-training huggingface dataset:
The Effect of Ramadan Intermittent Fasting on Food Intake, Anthropometric Indices, and Metabolic Biomarkers among Pre-and Post-menopausal Women: A Cross-Sectional Study

Field: Medicine (Health Sciences)

By shifting eating hours from daytime to nighttime, Ramadan intermittent fasting (RIF) illustrates how religious beliefs influence human dietary behavior and subsequent anthropometric and metabolic measures. This study aimed to investigate socioeconomic characteristics and examine how observing RIF affects dietary intake, anthropometric indices, and metabolic markers in healthy premenopausal (PRE-M) and post-menopausal (POST-M) Saudi women. Before starting the study, the authors hypothesized that the RIF improves some nutritional aspects and health in respondents, but not after breaking the fast.. The study includes 62 women (31 PRE-M, 21-43 years, and 31 POST-M, 44-68 years). A structured questionnaire was used to collect socioeconomic data. Physical activity, anthropometric, dietary, and biochemical assessments were undertaken before RIF and at the end of the third week of Ramadan fasting month. Socioeconomic data varied among respondents. Observing RIF was associated with significantly (at either p ≤ 0.01 or p ≤ 0.05) lower intake of calories, macronutrients, minerals (except for Na), and vitamins than before RIF for both groups. In terms of body mass index (BMI), and waist-to-height ratio (WHtR) for PRE-M, the percentage of overweight decreased significantly (p≤0.01) while obesity remained unchanged. In contrast, for POST-M, the percentage of overweight increased significantly (p≤0.05), but obesity decreased after RIF. Both groups' waist-to-hip ratio (WHR), body fat (BF), and fat mass (FM) decreased after RIF. High-density lipoprotein cholesterol (HDL-C), fasting blood glucose (FBG), triglycerides (TG), and blood pressure (SBP, DBP) were generally maintained at acceptable normal levels in most responders before and after RIF. However, low-density lipoprotein cholesterol (LDL-C) was significantly decreased during RIF than before, especially for POST-M. Age, occupation, and monthly income were the most important factors influencing women’s nutritional status and body fat. In conclusion, observing RIF by PRE- and POST-M Saudi women was associated with significant improvements in variable health indicators, with a few exceptions, particularly POST-M, and may help lower risk factors for chronic diseases.
Total Synthesis of Dictyodendrins

Field: Chemistry (Physical Sciences)

In total and formal syntheses of dictyodendrins A, B, C, D, E and F, the key step involved the direct construction of the pyrrolo[2,3-c]carbazole core by the gold-catalyzed annulation of a conjugated diyne with a pyrrole to form three bonds and two aromatic rings. The subsequent introduction of substituents at the C1 (Suzuki-Miyaura coupling), C2 (acylation), N3 (alkylation) and C5 positions (Ullmann coupling) provided divergent access to dictyodendrins. Some dictyodendrin analogues exhibited inhibitory activities toward CDK2/CycA2 and GSK3.
Customer perceptions of responsible retailing in Australia

Field: Business, Management and Accounting (Social Sciences)

\n\t\t\t\t\tFor retailers, the adoption of Corporate Social Responsibility (CSR) can act as a source of differentiation and affect reputation, customer loyalty, and competitive advantage. Despite these potential benefits, there has been limited empirical investigation of CSR within the retailing literature. This paper proposes that for retailers to implement CSR to strategic benefit, they must understand how their customers perceive the concept. This paper utilises Carroll&rsquo;s (1979, 1991) four-part framework of corporate behaviours to operationalise the concept of CSR. To build on Carroll&rsquo;s (1979, 1991) framework, respondents are asked to identify specific behaviours that constitute socially responsible behaviour for a retail supermarket. Results support the four corporate behaviours proposed by Carroll, but do not support the rank order of economic corporate behaviours being first and foremost. The findings suggest the inclusion of &lsquo;supply chain management&rsquo; and &lsquo;provision of customer value&rsquo; as additional factors for retailer CSR. From these findings, an initial model of retailer CSR is proposed for further investigation. For academics, such a model provides greater clarity in understanding CSR, allowing future development across alternative retail settings. The model provides retailers with a tool for implementing CSR for strategic benefit, by way of meeting customer CSR demands.<br />\n\t\t\t\t
INTEREST RATES AS A FACTOR IN SMALL BUSINESS FAILURES

Field: Economics, Econometrics and Finance (Social Sciences)

ABSTRACT High interest rates are often referenced as a cause of small businessfailure. Research conducted on the financial data of failed businesses determined there is a positive correlation between absolute levels of interest rates and the number of business failures. In those situations where borrowing costs were a significant factor, it was invariably due to the excessive amount of debt as opposed to the rate of interest that threatened the firm's ability to survive. Given the high debt load, a lower rate may at best only have prolonged the ultimate failure. This conclusion was verified by a recent sampling of businesses that failed during a period of much lower interest rates. Undercapitalized small businesses that rely on debt from external sources are going to be vulnerable to a downturn in economic conditions and the relative level of interest rates is not a materialfactor in their ability to survive.
Osteoblasts Are Rapidly Ablated by Virus-Induced Systemic Inflammation following Lymphocytic Choriomeningitis Virus or Pneumonia Virus of Mice Infection in Mice

Field: Medicine (Health Sciences)

Abstract A link between inflammatory disease and bone loss is now recognized. However, limited data exist on the impact of virus infection on bone loss and regeneration. Bone loss results from an imbalance in remodeling, the physiological process whereby the skeleton undergoes continual cycles of formation and resorption. The specific molecular and cellular mechanisms linking virus-induced inflammation to bone loss remain unclear. In the current study, we provide evidence that infection of mice with either lymphocytic choriomeningitis virus (LCMV) or pneumonia virus of mice (PVM) resulted in rapid and substantial loss of osteoblasts from the bone surface. Osteoblast ablation was associated with elevated levels of circulating inflammatory cytokines, including TNF-α, IFN-γ, IL-6, and CCL2. Both LCMV and PVM infections resulted in reduced osteoblast-specific gene expression in bone, loss of osteoblasts, and reduced serum markers of bone formation, including osteocalcin and procollagen type 1 N propeptide. Infection of Rag-1–deficient mice (which lack adaptive immune cells) or specific depletion of CD8+ T lymphocytes limited osteoblast loss associated with LCMV infection. By contrast, CD8+ T cell depletion had no apparent impact on osteoblast ablation in association with PVM infection. In summary, our data demonstrate dramatic loss of osteoblasts in response to virus infection and associated systemic inflammation. Further, the inflammatory mechanisms mediating viral infection-induced bone loss depend on the specific inflammatory condition.
Enhanced type-2 Wang-Mendel Approach

Field: Computer Science (Physical Sciences)

The Wang-Mendel Approach (WMA) focuses on combining the numerical as well as linguistic information for achieving greater explainability for inference models. The standard WMA models the linguistic information using type-1 (T1) fuzzy sets (FSs), which have a reduced capability to model the semantics of linguistic information. Therefore, we propose a novel Enhanced WMA, which models the linguistic information using the type-2 (T2) FSs. Further, our Enhanced T2 FS based WMA can be modified to reflect the use of interval type-2 (IT2) FSs, for modeling linguistic uncertainty. IT2 FSs are suitable when better uncertainty handling capabilities are required compared to T1 FSs, however, at a computational cost lesser than the T2 FSs. Performance of Enhanced WMA is demonstrated through a real-world crop-yield prediction problem in smart agriculture and an additional exemplar application on users' satisfaction ratings. Further, we have compared our approach with the performance obtained from the T1 FS based WMA and the original estimations given in the original data. We found that our Enhanced WMA achieves better precision than the other two with 95% confidence level. To the best of our knowledge, no one has proposed the use of T2 FSs for modeling linguistic uncertainty in the WMA before.
Developing a Biased Unmatched Bivalent Ligand (BUmBL) Design Strategy to Target the GPCR Homodimer Allosteric Signaling (cAMP over β-Arrestin 2 Recruitment) Within the Melanocortin Receptors

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Understanding the functional relevance of G protein-coupled receptor (GPCR) homodimerization has been limited by the insufficient tools to assess asymmetric signaling occurring within dimers comprised of the same receptor type. We present unmatched bivalent ligands (UmBLs) to study the asymmetric function of melanocortin homodimers. UmBLs contain one agonist and one antagonist pharmacophore designed to target a melanocortin homodimer such that one receptor is occupied by an agonist and the other receptor by an antagonist pharmacophore. First-in-class biased UmBLs (BUmBLs) targeting the human melanocortin-4 receptor (hMC4R) were discovered. The BUmBLs displayed biased agonism by potently stimulating cAMP signaling (EC50 ∼ 2-6 nM) but minimally activating the β-arrestin recruitment pathway (≤55% maximum signal at 10 μM). To our knowledge, we report the first single-compound strategy to pharmacologically target melanocortin receptor allosteric signaling that occurs between homodimers that can be applied straightforwardly in vitro and in vivo to other GPCR systems.
Changes in IgG4 and IL-10 expression in adults with eosinophilic esophagitis on a two-food elimination diet

Field: Medicine (Health Sciences)

Background: Eosinophilic esophagitis (EoE) is increasingly diagnosed in patients with dysphagia and upper gastroenteric symptoms. Elimination diets and/or pharmacologic agents may accomplish temporary remission, but long-term control is challenging. Type-2 immunity to ingested antigens can induce EoE histopathology via non-IgE-dependent mechanisms, possibly involving IgG4 and IL-10 production. To elucidate the contribution of IgG4- and IL-10-producing cells to EoE pathogenesis, we examined their frequencies and association with clinical and histologic endpoints in adult EoE patients given a two-food elimination diet (TFED). Methods: Sixteen patients with EoE were prescribed a TFED. Biopsies collected at baseline and follow-up were used for immunofluorescent detection of IgG4- and IL-10-expressing cells and serum food-specific IgG4 were measured. All variables were correlated with established histologic measures of disease activity. Results: Patients exhibited significant clinical improvement and significant reduction in esophageal eosinophilia and overall histology. A significant decrease in the frequencies of IL-10-expressing cells was also observed, which correlated with histologic changes. In contrast, a concomitant decline in serum and esophageal IgG4, while substantial, did not correlate with IL-10 -cell frequencies or any histologic parameter of EoE activity. Conclusions: The close association of esophageal IL-10 expression with histologic features and their changes after a TFED suggests a critical role of this cytokine in EoE pathogenesis. Conversely, IgG4 serum and mucosal expression, while reflecting the level of exposure to relevant food antigens, is not obviously related to EoE histopathology or IL-10 expression. Studies are needed to characterize IL-10 cellular sources and their functions in EoE progression and treatment response.
Impact of Care Coordination on the Content of Communication Between Surgeons and Patients With Rectal Cancer

Field: Health Professions (Health Sciences)

Background: Management of patients with rectal cancer can be complex, requiring significant care coordination and decisions that balance functional and oncologic outcomes. Objective: To characterize care coordination occurring during surgical consultation for rectal cancer and consequences of using face-to-face time in clinic for care coordination. Methods: Secondary analysis was performed on audio recordings of clinic visits with colorectal surgeons to discuss surgery for rectal cancer at 5 academic medical centers. Analysis included the content of communication related to types of care coordination, specific details and conditions under which care coordination was conducted, and consequences. Results: The cohort included 18 patients seen by 8 surgeons. Care coordination consumed much of the conversation; on average 23.7% (SD 14.6) of content. Communication about care coordination included gathering information from work-up already performed, logistics for completing further work-up, gathering multidisciplinary opinions, and logistics for treatment planning. Obtaining imaging results was particularly challenging and surgeons went to great lengths to gather this information. To mitigate information gaps, surgeons asked patients about critical clinical details. Patients expressed remorse when they could not provide needed information, relay technical details, or had missing reports. Surgeons voiced frustration at the system related to the need to gather information from multiple sources and coordinate logistics. Surgeons worked to inform patients about their disease and discuss important lifestyle and cancer-related tradeoffs. However, the ability to solicit patient input and engage in shared decision making was often limited by incomplete data or conditioned on approval by a multidisciplinary tumor board. Conclusion: Much of the conversation between surgeons and patients with rectal cancer is consumed by care coordination. Organizing care coordination outside of the clinic visit would likely improve the experience for both patients and surgeons, addressing both clinician burnout and variation in management and outcomes.
Unveiling the Impact of Good Corporate Governance and Temporary Shirkah Funds on Maqashid Shariah Performance

Field: Business, Management and Accounting (Social Sciences)

This study investigates the influence of Good Corporate Governance (GCG) and Temporary Shirkah Fund (TSF) on the performance of Maqashid Shariah in Islamic banks in Indonesia from 2018 to 2023. Using secondary data analysis, the study employs regression analysis to test the hypotheses. The findings reveal that neither Good Corporate Governance nor TSF significantly affects the performance of Maqashid Shariah during the study period. These results are consistent with previous research indicating a lack of significant impact Good Corporate Governance and TSF on Maqashid Shariah performance in Islamic banks. The discussion suggests that the implementation of Good corporate governance may not directly translate into improved Maqashid Shariah performance due to potential misalignment between governance practices and Shariah principles. Moreover, the study highlights the importance of further research and enhanced implementation of Good Corporate Governance and TSF practices to promote the achievement of Maqashid Shariah objectives in Islamic banking institutions. This research contributes to the ongoing discourse on corporate governance and Shariah compliance in Islamic finance and provides insights for policymakers, regulators, and practitioners aiming to strengthen governance frameworks and enhance Shariah-based performance in Islamic banks
Network Architecture of Telemedicine System for Monitoring the Person’s Condition

Field: Health Professions (Health Sciences)

Problem of creating telemedicine system architecture for monitoring the human state is discussed. As an example, a monitoring system for patients with dementia is used. The assessment of the health status of a person with dementia is performed on the basis of medical data that is transmitted to a cloud-based medical information system. Based on the data obtained, the attending physician forms recommendations. The network architecture must meet the security requirements for providing medical services remotely. At the same time, the telemedicine system being developed should be reliable under high loads and also be able to scale if necessary.
Processing aspects in the low-frequency noise of nMOSFETs on strained-silicon substrates

Field: Engineering (Physical Sciences)

The impact of different processing factors on the low-frequency (LF) noise of nMOSFETs fabricated in strained-silicon (SSi) substrates will be described. It is shown that the use of an SSi substrate can yield improved LF noise performance compared with standard Czochralski silicon material. This is demonstrated for both full-wafer and selective epitaxial SSi material. The lower 1/f noise points to an improved gate oxide quality, i.e., with a lower interface and bulk defect density, and is correlated with the low-field mobility or transconductance of the transistors. At the same time, it will be demonstrated that there exist defect-related LF noise mechanisms, which generally give rise to excess generation-recombination (GR) noise. Associated with this GR noise, a degradation of either the OFF-state leakage current or the mobility (transconductance) of the devices is observed. It is clear that noise is a sensitive parameter to local defectiveness and may be a useful tool for both materials' characterization and the analysis of processing-related device degradation mechanisms.
Data from High WT1 Expression Is Associated with Very Poor Survival of Patients with Osteogenic Sarcoma Metastasis

Field: Medicine (Health Sciences)

<div>Abstract<p><b>Purpose:</b> Although metastasis is the primary determinant of poor survival of patients with osteogenic sarcoma, some patients live much longer than others, indicating metastatic heterogeneity underlying survival outcome. The purpose of the investigation was to identify genes underlying survival outcome of patients with osteogenic sarcoma metastasis.</p><p><b>Experimental Design:</b> We have used microarray to first compare mRNA expression between normal bone and osteogenic sarcoma specimens, identified genes overexpressed in osteogenic sarcoma, and compared expression of the selected gene between a poorly metastatic (SAOS) and two highly metastatic cell lines (LM8 and 143B). Finally, expression of the selected gene was assessed by immunostaining of osteogenic sarcoma samples with known survival outcome.</p><p><b>Results:</b> Microarray analysis revealed 5.3-fold more expression of WT1 mRNA in osteogenic sarcoma compared with normal bone and >2-fold overexpression in 143B and LM8 cells compared with SAOS. Furthermore, WT1 mRNA was absent in normal bone (10 of 10) by reverse transcription-PCR but present in osteogenic sarcoma–derived cell lines (5 of 8). One hundred percent (42 of 42) of low-grade osteogenic sarcoma specimens expressed no WT1 as determined by immunostaining; however, 24% (12 of 49) of the high-grade specimens showed intense staining. Mean survival of patients with high-grade metastatic osteogenic sarcoma but low WT1 staining (27 of 37) was 96.5 ± 129.3 months, whereas mean survival of patients with high-grade metastatic osteogenic sarcoma having intense staining (10 of 37) was 18.3 ± 12.3 months (<i>P</i> > 0.0143). All splice variants of WT1 mRNA, including a hitherto unknown variant (lacking exons 4 and 5), were found to be expressed in osteogenic sarcoma.</p><p><b>Conclusion:</b> WT1 seems to be associated with very poor survival of patients with osteogenic sarcoma metastasis.</p></div>
Toward Transparent Deep Image Aesthetics Assessment With Tag-Based Content Descriptors

Field: Computer Science (Physical Sciences)

Deep learning approaches for Image Aesthetics Assessment (IAA) have shown promising results in recent years, but the internal mechanisms of these models remain unclear. Previous studies have demonstrated that image aesthetics can be predicted using semantic features, such as pre-trained object classification features. However, these semantic features are learned implicitly, and therefore, previous works have not elucidated what the semantic features are representing. In this work, we aim to create a more transparent deep learning framework for IAA by introducing explainable semantic features. To achieve this, we propose Tag-based Content Descriptors (TCDs), where each value in a TCD describes the relevance of an image to a human-readable tag that refers to a specific type of image content. This allows us to build IAA models from explicit descriptions of image contents. We first propose the explicit matching process to produce TCDs that adopt predefined tags to describe image contents. We show that a simple MLP-based IAA model with TCDs only based on predefined tags can achieve an SRCC of 0.767, which is comparable to most state-of-the-art methods. However, predefined tags may not be sufficient to describe all possible image contents that the model may encounter. Therefore, we further propose the implicit matching process to describe image contents that cannot be described by predefined tags. By integrating components obtained from the implicit matching process into TCDs, the IAA model further achieves an SRCC of 0.817, which significantly outperforms existing IAA methods. Both the explicit matching process and the implicit matching process are realized by the proposed TCD generator. To evaluate the performance of the proposed TCD generator in matching images with predefined tags, we also labeled 5101 images with photography-related tags to form a validation set. And experimental results show that the proposed TCD generator can meaningfully assign photography-related tags to images.
Kingdom-Wide Analysis of Fungal Protein-Coding and tRNA Genes Reveals Conserved Patterns of Adaptive Evolution

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Abstract Protein-coding genes evolved codon usage bias due to the combined but uneven effects of adaptive and nonadaptive influences. Studies in model fungi agree on codon usage bias as an adaptation for fine-tuning gene expression levels; however, such knowledge is lacking for most other fungi. Our comparative genomics analysis of over 450 species supports codon usage and transfer RNAs (tRNAs) as coadapted for translation speed and this is most likely a realization of convergent evolution. Rather than drift, phylogenetic reconstruction inferred adaptive radiation as the best explanation for the variation of interspecific codon usage bias. Although the phylogenetic signals for individual codon and tRNAs frequencies are lower than expected by genetic drift, we found remarkable conservation of highly expressed genes being codon optimized for translation by the most abundant tRNAs, especially by inosine-modified tRNAs. As an application, we present a sequence-to-expression neural network that uses codons to reliably predict highly expressed transcripts. The kingdom Fungi, with over a million species, includes many key players in various ecosystems and good targets for biotechnology. Collectively, our results have implications for better understanding the evolutionary success of fungi, as well as informing the biosynthetic manipulation of fungal genes.