Miracle-dz/UniFAR-FTUs huggingface dataset:
Small Businesses’ Social Responsibility and Political Activity Survey Studies: A Review, Synthesis, and Research Agenda

This systematic review assesses the development of survey-based small business social responsibility (SBSR) and political activity (SBPA) research over the last 30 years. Survey research designs are a widely adopted approach to studying SBSR and SBPA, making a significant contribution to the small business nonmarket strategy (SBNS) research agenda. Survey research has been used in a quarter of the 203 SBNS research publications identified, 60% of all quantitative SBSR studies and 100% of all quantitative SBPA publications. This review identified a total of 53 survey-based studies of SBSR and SBPA in a multidisciplinary selection of 40 top journals. The SBSR articles reviewed primarily focused on environmental themes, CSR strategies, and CSR performance at the macro level and micro concerns around entrepreneurial commitment/attitudes to CSR. The SBPA articles had no clear focal phenomena. The theoretical positioning of the articles used primarily organizational and organizational field level theoretical foundations, in SBSR studies the main theory used was stakeholder approaches/theory, resource-based approaches and (meso/micro) institutional theory, while the SBPA research was clearly oriented toward resource-based approaches. The SBSR studies in contrast to the SBPA research had a far clearer set of established predictor, outcome, moderating/mediating, and control variables. In terms of survey research design the results show a consistent and ongoing improvement of the research designs, but many norms of good survey design are not yet consistently adopted in SBSR and SBPA research. Critically the literature lacks replication of results. Future studies should pursue replication studies and adopt methodological best practice.
Antitumor Activity of Royal Jelly and Its Cellular Mechanisms against Ehrlich Solid Tumor in Mice

Objective The present study was aimed at evaluating the antitumor effects of royal jelly (RJ) obtained from Apis mellifera compared with cyclophosphamide against the Ehrlich solid tumors (EST) in mice. Methods Tumor growth inhibition, body weight, the serum level of alpha-fetoprotein (AFP) and carcinoembryonic antigen tumor (CAE), liver and kidney enzymes, tumor lipid peroxidation (LPO), nitric oxide (NO), antioxidant enzymes (glutathione peroxidase (GPx), catalase enzyme (CAT), and superoxide dismutase enzyme activity (SOD)), tumor necrosis factor alpha level (TNF-α), and the apoptosis-regulatory genes expression were assessed in EST mice treated with RJ (200 and 400 mg/kg orally once a day for 2 weeks). Results The results showed that treatment of EST-suffering mice with RJ at the doses of 200 and 400 mg/kg causes significant reduction in tumor volume and inhibition rate, body weight, tumor markers (AFP and CEA), serum level of liver and kidney, LPO and NO, TNF-α level, as well as the expression level of Bcl-2 in comparison with the EST mice receiving the normal saline; whereas RJ at the doses of 200 and 400 mg/kg/day significantly increased (p < 0.05) the level of antioxidant enzymes of GPx, CAT, and SOD and the expression level of caspase-3 and Bax genes. Conclusion The findings revealed that oral administration of royal jelly especially at the doses of 200 and 400 mg/kg exhibited promising antitumor effects against EST in mice through induction of apoptosis as well as its antioxidant and anti-inflammatory effects, which suggest it as a novel anticancer agent against tumor; however, additional surveys especially in clinical setting are necessary to approve these findings.
Symmetric inseparability and number entanglement in charge-conserving mixed states

We explore suﬃcient conditions for inseparability in mixed states with a globally conserved charge, such as a particle number. We argue that even separable states may contain entanglement in ﬁxed charge sectors, as long as the state can not be separated into charge conserving components. As a witness of symmetric inseparability we study the number entanglement (NE), ∆ S m , deﬁned as the entropy change due to a subsystem’s charge measurement. Whenever ∆ S m > 0, there exist inseparable charge sectors, having ﬁnite (logarithmic) negativity, even when the full state is either separable or has vanishing negativity. We demonstrate that the NE is not only a witness of symmetric inseparability, but also an entanglement monotone. Finally, we study the scaling of ∆ S m in thermal 1D systems combining high temperature expansion and conformal ﬁeld theory.
DenseKPNET: Dense Kernel Point Convolutional Neural Networks for Point Cloud Semantic Segmentation

In recent years, point clouds have been widely used in powerline inspection, smart cities, autonomous driving, and other fields. The deep learning-based point cloud processing methods have attracted more and more attention due to the developments of laser scanning technology and machine learning. However, the recent methods largely ignore global contextual relationships and do not make full use of the complementation between local feature and high-level geometric information. To the problem, we propose a novel deep neural network, namely, the Dense connection-based Kernel Point Network (DenseKPNet), which can greatly expand the receptive field of kernel point convolution to extract rich semantic context information and valuable geometric features from the local region effectively. Specifically, we first design a multiscale convolution kernel point module to extract initial geometric features from coarse to fine. Then, we design the dense connection module to efficiently learn more expressive local geometric features while capturing rich contextual information. In addition, we propose the kernel point convolution attention module (KPCAM), which can capture global interdependencies between points and strengthen the discriminativeness of effective features. We evaluate our method on public indoor and outdoor datasets. The qualitative and quantitative experimental results show the effectiveness of DenseKPNet. The mIoU of the proposed method on S3DIS and semantic3D datasets can reach 68.9% and 77.9%, respectively.
Bibliometric Analysis of Birt-Hogg-Dubé Syndrome From 2001 to 2021

Background Birt-Hogg-Dubé syndrome (BHD) is a rare autosomal dominant inherited disorder caused by germline mutations in folliculin (FLCN). Despite our significantly evolved understanding of BHD over the past decades, no bibliometric analyses have been conducted in this field. This study aimed to analyze and visualize the characteristics of publication outputs, the research hotspots, and scientific frontiers about BHD using bibliometric analysis. Methods All relevant literature on BHD was culled from the Web of Science Core Collection (WoSCC) database. Valid data were extracted from the articles and visually analyzed using CiteSpace and VOSviewer. Results A total of 751 qualifying papers were included. Publication outputs concerning BHD increased over time. The dominant position of the United States and Japan in BHD research field was evident. National Cancer Institute (the USA) and Yokohama City University (Japan) were the two most productive organizations. W. Marston Linehan exerted a considerable publication impact and had made the most remarkable contributions in the field of BHD. Plos One was the journal with the highest publication outputs, and half of the top 10 journals and co-cited journals belonged to Q1 or Q2. Keyword citation bursts revealed that management, tumor suppressor, flcn gene, spectrum, diagnosis, risk, computed tomography were the emerging research hotspots. Conclusion Research on BHD is prosperous. International cooperation between countries and organizations is also expected to deepen and strengthen in the future. Our results indicated that FLCN-associated pathways involved in the pathogenesis of BHD, specific options for early diagnosis, and molecular-targeting therapies will remain research hotspots in the future.
Pre-diagnostic clinical features and blood tests in patients with colorectal cancer: a retrospective linked-data study

Background The majority of colorectal cancer is diagnosed in patients following symptomatic presentation in the UK. Aim To identify windows of opportunity for timely investigations or referrals in patients presenting with colon and rectal cancer-relevant symptoms or abnormal blood tests. Design and setting A retrospective cohort study was undertaken using linked primary care and cancer registry data for patients with colorectal cancer diagnosed in England between 2012 and 2015. Method Monthly consultation rates for relevant clinical features (change in bowel habit, rectal bleeding, abdominal pain, abdominal mass, constitutional symptoms, and other bowel symptoms) and abnormal blood test results (low haemoglobin, high platelets, and high inflammatory markers) up to 24 months pre-diagnosis were calculated. Poisson regression adjusted for age, sex, and relevant comorbidities was used to estimate the most likely month when consultation rates increased above baseline. Results In total, 5033 patients with colon cancer and 2516 with rectal cancer were included. Consultations for all examined clinical features and abnormal blood tests increased in the year pre-diagnosis. Rectal bleeding was the earliest clinical feature to increase from the baseline rate: at 10 months (95% confidence interval [CI] = 8.3 to 11.7) pre-diagnosis for colon cancer and at 8 months (95% CI = 6.1 to 9.9) pre-diagnosis for rectal cancer. Low haemoglobin, high platelets, and high inflammatory markers increased from as early as 9 months pre-diagnosis. Conclusion This study found evidence for an early increase in rates of consultation for relevant clinical features and abnormal blood tests in patients with colorectal cancer, suggesting that earlier instigation of cancer-specific investigations or referrals may be warranted in some patients who were symptomatic.
Effect of dietary probiotics supplementation on meat quality, volatile flavor compounds, muscle fiber characteristics, and antioxidant capacity in lambs

Abstract This study investigated the effects of probiotics on growth performance, meat quality, muscle fiber characteristics, volatile compounds, and antioxidant capacity in lambs. A total of 24 Sunit lambs were randomly allocated into two groups, each consisting of three replicates of four lambs. Throughout the experiment period, the lambs were fed with based diet (CON) and 10 g probiotics/d supplemented diet (PRO). Compared with the CON group, the number of lactic acid bacteria in fecal samples of PRO group was significantly increased (p < .05) and the coliforms were significantly decreased (p < .05). Dietary probiotics supplementation decreased pH24h, L*, and shear force (p < .05). The muscle fibers were switched from type IIB to type I, with a decrease in the mean cross‐sectional area (CSA) (p < .05) of longissimus thoracis (LT) muscle. Also, probiotics altered the composition of meat volatile flavor compounds, such as nonanal, undecanal, 1‐pentanol, 1‐hexanol, and 2,3‐octanedione. In addition, probiotics increased the total antioxidative capacity (T‐AOC) and catalase (CAT) activity of LT muscle, while it decreased superoxide dismutase (SOD) activity (p < .05). Overall, these results indicated that probiotics could be used as an effective feed additive by improving meat tenderness and flavor.
Barriers to Self-Care Planning for Family Caregivers of Patients with Severe Mental Illness

The chronic nature of severe mental illnesses is necessary for constant care provided by the family caregivers. Considering the significance of family caregivers in providing care, it is imperative to ensure their self-care if they are to play the role of caregiving effectively and efficiently well. The present study was conducted using the purposive sampling method and in-depth semi-structured interviews among 13 family caregivers and five health team members. The data were analyzed via a conventional content analysis approach. In the data analysis, seven main categories and 18 subcategories emerged: “A troublesome patient and me,” including “Care-induced distress,” “Caring dilemma,” “Emotional fluctuations,” and “Self-forgetfulness”; “Passive–destructive individuality,” including: “Mental stereotypes” and “Unhealthy lifestyle”; “Family turbulence,” including: “Family malfunction” and “Break in family ties”; “The conjoined influencing social factor,” including “Lack of awareness at the family and community level” and “Social stigmatization”; “lack of well-organized health care system,” including “Biomedical-oriented health system,” “Disruption in continuity of care,” and “Problems associated with the support provided by the health system”; “Disturbed economic conditions,” including “Difficulty in life with disrupted financial capability,” “Problems related to education and promoting awareness,” and “Family health care problems”; “Dysfunctional Public mental health,” including “Macro-dysfunction of mental health education,” and “Disruptive advocacy activities to support families of patients with mental disorders. ” There are several barriers to family caregiver self-care planning that require health professionals to develop appropriate interventions.
Coping strategies as moderators of COVID-19 racial discrimination in Filipino Americans.

The present study examined the extent to which coronavirus disease 2019 (COVID-19) racial discrimination related to life satisfaction, depression, and anxiety in 246 Filipino Americans. The extent to which coping strategy moderated the mediated relationship of COVID-19 racial discrimination via depression and anxiety on life satisfaction was also explored. Findings indicated that Filipino Americans who experienced or witnessed COVID-19 racial discrimination were significantly more likely to experience decreased levels of life satisfaction and increased levels of depression and anxiety. Higher levels of discrimination were significantly related to higher levels of depression which were linked to poorer life satisfaction. Coping strategy moderated the mediated relationship of COVID-19 racial discrimination via depression with life satisfaction. Engagement and disengagement coping responses significantly moderated the link between COVID-19 discrimination with anxiety and depression, respectively. Implications for mental health professionals, study limitations, and future areas of research are additionally provided. (PsycInfo Database Record (c) 2022 APA, all rights reserved) Impact Statement What is the public significance of this article? -Greater use of overall coping reduced the negative impact of COVID-19-related racial discrimination on life satisfaction among Filipino Americans. Filipino Americans may use engagement and disengagement coping strategies to mitigate the effects of anxiety and depression-related symptoms, respectively, which may be influenced by cultural, Indigenous, and religious factors. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
Sodium-glucose cotransporter 2 inhibitors and neurological disorders: a scoping review

Background: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are a group of antidiabetic medications with a favourable cardiovascular, renal and overall safety profile. Given the limited treatment options available for neurological disorders, it is important to determine whether the pleiotropic effects of SGLT2i can be utilised in their prevention and management. Methods: All articles published before 20 March 2021 were systematically searched in MEDLINE, EMBASE, Scopus, Web of Science, APA PsycINFO and ClinicalTrials.gov. Overall, 1395 titles were screened, ultimately resulting in 160 articles being included in the qualitative analysis. Screening and data extraction were conducted by two independent authors and studies were excluded if they were not an original research study. Findings: Of the 160 studies, 134 addressed stroke, 19 cognitive impairment, 4 epilepsy and 4 movement disorders, encompassing a range from systematic reviews and randomised controlled trials to bioinformatic and animal studies. Most animal studies demonstrated significant improvements in behavioural and neurological deficits, which were reflected in beneficial changes in neurovascular units, synaptogenesis, neurotransmitter levels and target receptors’ docking energies. The evidence from the minority clinical literature was conflicting and many studies did not reach statistical significance. Interpretation: SGLT2i may exert neurological benefits through three mechanisms: reduction in cardiovascular risk factors, augmentation of ketogenesis and anti-inflammatory pathways. Most clinical studies were observational, meaning that a causal relationship could not be established, while randomised controlled trials were heterogeneous and powered to detect cardiovascular or renal outcomes. We suggest that a longitudinal study should be conducted and specifically powered to detect neurological outcomes.
Molecular Identification of Bacillus Isolated from Korean Water Deer (Hydropotes inermis argyropus) and Striped Field Mouse (Apodemus agrarius) Feces by Using an SNP-Based 16S Ribosomal Marker

Simple Summary Wildlife is a great concern because of its free-ranging movements. They carry bacterial zoonoses in their feces, such as Bacillus species. In this study, we developed a 16S Bacillus species-specific 16S ribosomal RNA (rRNA) molecular marker for species identification. For discrimination of genetically similar members of Bacillus cereus group, including Bacillus cereus, B. anthrax, and B. thuringiensis, a single nucleotide polymorphism (SNP)-based marker was developed. We altered an artificial base at the 3′-end of SNP sites in each SNP-based 16S rRNA primer sequence to improve the ability of SNP-based primers to bind the PCR template sequence, thereby improving the allele-specific detection of target B. cereus strains. SNP analysis in high-quality DNA sequences could facilitate identification and discrimination of closely related bacterial species. Abstract Ambiguous, heterogeneous, endospore-forming Bacillus species, notably Bacillus cereus, often produce fatal toxins that threaten human health. We identified Bacillus from wild animal fecal samples (n = 80), including the Korean water deer (n = 25) and striped field mouse (n = 55). Using traditional culture-based methods, 25 animal fecal samples (31.25%; 25/80) were found to be positive for Bacillus species, whereas using molecular techniques, 19 samples (23.75%; 19/80) were found to be positive for the same. In addition, we designed a Bacillus species-specific 16S ribosomal RNA (rRNA) gene marker and utilized it to identify 19 samples by means of PCR amplification and sequencing, using at least one colony from the 19 Bacillus positive samples. The recovered sequences were matched to sequences of three Bacillus species (B. cereus, B. amyloliquefaciens, and B. megaterium) from the GenBank database. Moreover, the phylogenetic tree generated in this study established specific clades for the Bacillus group. In addition, to differentiate between B. cereus, B. anthracis, and B. thuringiensis, we designed a single nucleotide polymorphism (SNP)-based primer by identifying SNPs in the alignment of 16S rRNA gene sequences of B. cereus group strains. The SNPs were used to design primer sets for discrimination between highly similar species from the B. cereus group. The study could be used in surveillance of agricultural fresh-produce-associated Bacillus outbreaks, for accurate identification of each Bacillus species, and in the development of control measures.
Optimal social welfare policy within financial and life insurance markets

We consider a continuous lifetime model for investor whose lifetime is a random variable. We assume the investor has an access to the social welfare system, the financial market and the life insurance market. The investor aims to find the optimal strategies that maximize the expected utility obtained from consumption, investing in the financial market, buying life insurance, registering in the social welfare system, the size of his estate in the event of premature death and the size of his fortune at time of retirement if he lives that long. We use dynamic programming techniques to derive a second-order nonlinear partial differential equation whose solution is the maximum objective function. We use special case of discounted constant relative risk aversion utilities to find an explicit solutions for the optimal strategies. Finally, we have shown a numerical solution for the problem under consideration and study some properties for the optimal strategies.
Junk food, sugary drinks and XL portion sizes: advertising on convenience stores near primary schools in Tāmaki Makaurau Auckland, Aotearoa New Zealand

ABSTRACT There are no government policies in Aotearoa, New Zealand (NZ) sufficient to protect children from unhealthy food and beverage marketing. Repeated exposure to advertising can have long-term impacts on children’s dietary preferences, ultimately increasing the risk of non-communicable diseases in adulthood. An important food environment for children is the area around their school. This study aims to describe outdoor food and beverage advertising on convenience stores within 500 m of all primary schools (n = 371) within the Auckland region. Images of advertisements were captured from Google Street View. A total of 3693 advertisements were collected from 296 stores. The majority (n = 2628, 78.2%) of advertisements were classified as marketing to children. Convenience stores in areas surrounding low decile schools (n = 1170, 51.8%) had twice as many advertisements than areas around medium (n = 561, 24.8%) or high (n = 529, 23.4%) decile schools. Approximately half (n = 1863, 50.5%) of advertisements were for unhealthy food or beverages, and less than ten percent (n = 350, 9.4%) were for healthy products. These findings highlight the need for policies to reduce children’s exposure to unhealthy advertising in their school food environment.
A new strategy for solving store separation problems using OpenFOAM

The ability of OpenFOAM to solve the problem of a store separating from an air vehicle (store separation problem) has been evaluated using a dynamic mesh (Overset/Chimera) technique for an industry-class (transonic and generic) benchmark test case. The major limitations of the standard libraries have been determined. To tackle these challenges, a new strategy has been proposed and implemented using only open-source libraries and tools. The strategy combines porting, modifying, and adapting an overset library from the OpenFOAM fork platform (foam-extend) to the standard OpenFOAM platform (ESI). Furthermore, in order to overcome the well-known weakness of the standard OpenFOAM compressible solvers, the newly adapted overset library was integrated with an open-source, density-based, and coupled solver (HiSA), which uses the OpenFOAM technology. Additionally, a force restrained model was developed to consider the externally applied forces on the store by the store ejectors. The accuracy of the developed strategy has been compared with wind tunnel tests and the solutions of two well-known commercial codes, showing good agreements with them. While the study has focused on simulations with inviscid Euler equations (typical of the test case considered here), the viscosity effect on the solution has also been studied with Navier–Stokes equations and compared with other results in the literature, showing minor differences. To the best of the authors’ knowledge, this is the first work which studies and validates the store separation problem in transonic regime with OpenFOAM.