Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relevance of Internal Working Models of Self and Others for Equine-Assisted Psychodynamic Psychotherapy

Attachment characteristics play a key role in mental health and in understanding mental disorders. The aim of this study was to gain insight into the role the attachment characteristics can play in treatment effects in adult patients with intrapsychic and interpersonal problems who underwent Equine-assisted Short-term Psychodynamic Psychotherapy (ESTPP). In the first part of the study, we compared the effects of ESTPP to treatment-as-usual from a previous dataset regarding psychological dysfunction. For this, an explorative experimental non-randomized pre-treatment and 1-year post-treatment design was used. A mixed model revealed a significant decline in psychological dysfunction for both conditions, with no significant difference between the two. In the second part of the study, we examined the course of ESTPP effects over the period of 1 year when controlled for attachment styles and, subsequently, for internal working models of self and others. To this end, measurements were taken at baseline, 2 months waiting time, one-week intensive module, 6 months, and one year after the start of the treatment. Mixed models accounted for repeated measures showed significant improvements in psychological dysfunction, remoralization, and depression for ESTPP patients over time. The study implies that models of self and others may be used to predict the course of effects, which is relevant in determining what works for whom. In particularly, duration and intensity of therapy and a focus on the Model of Self seem relevant for shaping a more personalized treatment. ESTPP seems beneficial for patients with low pre-treatment attachment security.
Ketogenic Diet: A Dietary Intervention via Gut Microbiome Modulation for the Treatment of Neurological and Nutritional Disorders (a Narrative Review)

The ketogenic diet (KD) has been important in treating epilepsy since the 1920s. The benefits of KD further expanded to other neurological diseases, including Alzheimer’s diseases, autism spectrum disorder, and nutritional disorder (obesity). Although the therapeutic efficacy of KD has been generally accepted, there is limited knowledge about its underlying mechanism of action, particularly its effect on our gut microbiome. Gut dysbiosis has been proposed to be involved in those diseases, and KD can promote gut microbiota remodeling that may assist in recovery. This review explores the therapeutic applications of KD, the roles of the gut microbiome in neurological diseases and obesity, as well as the effect of KD on the gut microbiome. The present information suggests that KD has significant roles in altering the gut microbiome to improve disease symptoms, mainly by incrementing Bacteroidetes to Firmicutes (B/F) ratio and reducing Proteobacteria in certain cases. However, current gaps call for continued research to understand better the gut microbiota profile altered by KD.
Trends and Technological Advancements in the Possible Food Applications of Spirulina and Their Health Benefits: A Review

Spirulina is a kind of blue-green algae (BGA) that is multicellular, filamentous, and prokaryotic. It is also known as a cyanobacterium. It is classified within the phylum known as blue-green algae. Despite the fact that it includes a high concentration of nutrients, such as proteins, vitamins, minerals, and fatty acids—in particular, the necessary omega-3 fatty acids and omega-6 fatty acids—the percentage of total fat and cholesterol that can be found in these algae is substantially lower when compared to other food sources. This is the case even if the percentage of total fat that can be found in these algae is also significantly lower. In addition to this, spirulina has a high concentration of bioactive compounds, such as phenols, phycocyanin pigment, and polysaccharides, which all take part in a number of biological activities, such as antioxidant and anti-inflammatory activity. As a result of this, spirulina has found its way into the formulation of a great number of medicinal foods, functional foods, and nutritional supplements. Therefore, this article makes an effort to shed light on spirulina, its nutritional value as a result of its chemical composition, and its applications to some food product formulations, such as dairy products, snacks, cookies, and pasta, that are necessary at an industrial level in the food industry all over the world. In addition, this article supports the idea of incorporating it into the food sector, both from a nutritional and health perspective, as it offers numerous advantages.
Nonstandard finite difference schemes for a class of generalized convection–diffusion–reaction equations

In this work, a class of nonstandard finite difference (NSFD) schemes are proposed to approximate the solutions of a class of generalized convection–diffusion–reaction equations. First, in the case of no diffusion, two exact finite difference schemes are presented using the method of characteristics. Based on these two exact schemes, a class of exact schemes are presented by introducing a parameter α. Second, since the forms of these exact schemes are so complicated that they are not convenient to use, a class of NSFD schemes are derived from the exact schemes using numerical approximations. It follows that, under certain conditions about denominator function of time‐step sizes, these NSFD schemes are elementary stable and the solutions are positive and bounded. Third, by means of the Mickens' technique of subequations, a new class of implicit NSFD schemes are constructed for the full convection–diffusion–reaction equations. It is shown that, under certain parameters set, these NSFD schemes are capable of preserving the non‐negativity and boundedness of the analytical solutions. Finally, some numerical simulations are provided to verify the validity of our analytical results. © 2014 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 31: 1288–1309, 2015
“I Don’t Believe Anything They Say Anymore!” Explaining Unanticipated Media Effects Among Distrusting Citizens

The erosion of political and societal trust, polarization, and the omnipresence of disinformation may undermine the perceived trustworthiness of established sources of information. Yet, many forced exposure media effect studies in the field of political communication studying polarizing issues such as disinformation and populism assume a baseline level of trust among participants exposed to seemingly neutral information. This neglects long-standing issues of distrust in the press and trends toward increasing distrust among growing segments of the population. Resistance toward established information presented as news may result in unanticipated findings, as a substantial part of the population may not accept these sources as trustworthy or neutral. To enlighten confusion, this article relies on two different experiments (N = 728 and N = 738) to explore how citizens with low levels of trust and high dissatisfaction with the established order respond to information from established information sources. Our main findings indicate that participants with higher levels of populist attitudes, media distrust, and fake news perceptions are more likely to find established information untrustworthy. They are also less likely to agree with the statements of such content. These findings indicate that media effect studies assuming univocal acceptance of seemingly neutral information may fall short in incorporating problematic trends toward factual relativism in their design.
Development of the Interstitial Cystitis Self-Help and Medical Resources Scale (ICSR) for Women with Interstitial Cystitis

Background and Objectives: Women with interstitial cystitis (IC) suffer from spontaneous serious bladder pain symptoms without immediate resolution. Women with IC may lack knowledge of how to help themselves. Therefore, a measurement of IC self-help and medical-resource-seeking for women with IC is needed. Materials and Methods: This study recruited 100 women with IC from a teaching hospital in Northern Taiwan. The reliability and validity of the Interstitial Cystitis Self-Help and Medical Resources Scale (ICSR) were assessed using expert validity, confirmatory factor analysis (CFA) to test the construct validity, composite reliability to evaluate the internal consistency, and item analysis to test the discrimination validity of each item. Results: The results showed that the ICSR had accurate goodness-of-fit indices and the component reliability ranged from 0.42 to 0.83, indicating good reliability and validity. Conclusions: The ICSR is recommended for screening the self-help and medical-resource-seeking abilities of women with IC to aid in diagnosing IC and providing more precise medical treatments.
The Midcourse Space Experiment Infrared Minor Planet Survey

We present data for main-belt asteroids serendipitously observed by the Midcourse Space Experiment (MSX) in the course of its long-scan astronomy survey observations. Based upon the orbital elements for 26,791 asteroids, we have identified 325 sightings (920 observations) of 168 different asteroids in the MSX data, 20 of which were observed only once in a single band and are labeled singletons. Of the 168 different asteroids, 30 (including six singletons) were not previously observed by IRAS. Diameters and albedos were derived on the IRAS system. We present the entire MSX Infrared Minor Planet Survey data set, describe how it was created, and compare it with the Supplemental IRAS Minor Planet Survey data set.
Norsif guide to ESG integration in fundamental equity valuation

The Norsif Guide to ESG Integration in Fundamental Equity Valuation provides hands-on guidance for analysts and others who do financial firm valuations that recognise environmental, social and governance (ESG) issues. The first part contains specific analytical guidance into the key ESG-related issues. Drawing on established frameworks and practical analyst experience, this section outlines both general ESG issues and industry-specific considerations. The second part introduces core valuation methods from finance literature, demonstrating how to integrate specific ESG issues in actual valuations. These include the effects on cash flow forecasts, optionality, and scenarios, as well as accounting for when owners’ objectives are not exclusively financial. Finally, the appendices include a guide to financial modelling and three short industry cases highlighting the importance of ESG in financial and strategic analyses. The inspiration for this guide arose out of a failure to find a valuation textbook that adequately addressed the challenge of integrating ESG issues from a company level perspective. It is also a joint effort between analysts and portfolio managers who are increasingly aware of the need to expand the approach to valuation, and academics who aim to better understand how to adapt the fundamental valuation models to recognize ESG. The Norwegian Forum for Responsible and Sustainable Investments (Norsif) initiated the project to produce this guide in cooperation with the Norwegian School of Economics (NHH). The project was also motivated by the launch of the executive study program “Sustainable Financial Analysis” in 2020, which is offered by NHH in partnership with the Norwegian Society of Financial Analysts (NFF).
Banff Human Organ Transplant Transcripts Correlate with Renal Allograft Pathology and Outcome: Importance of Capillaritis and Subpathologic Rejection

Significance Statement Microarray analysis of renal allograft biopsies has revealed important insights, including TCMR and AMR gene sets, but is limited to specially processed samples without pathology confirmation. We used the NanoString nCounter platform to perform mRNA analysis of archived formalin-fixed paraffin-embedded kidney allograft biopsies with the Banff Human Organ Transplant Panel. We correlated Banff pathology scores in the same tissue block with validated and custom gene sets and showed the importance of capillaritis. We identified subpathological transcripts that standard pathology would not have detected and transcripts, pathology, and clinical variables that predicted graft failure in TCMR and CAMR. These findings highlight the utility of archived samples in transplant pathology research and expand our understanding of the pathogenesis of rejection. Visual Abstract Background To seek insights into the pathogenesis of chronic active antibody–mediated rejection (CAMR), we performed mRNA analysis and correlated transcripts with pathologic component scores and graft outcomes. Methods We utilized the NanoString nCounter platform and the Banff Human Organ Transplant gene panel to quantify transcripts on 326 archived renal allograft biopsy samples. This system allowed correlation of transcripts with Banff pathology scores from the same tissue block and correlation with long-term outcomes. Results The only pathology score that correlated with AMR pathways in CAMR was peritubular capillaritis (ptc). C4d, cg, g, v, i, t, or ci scores did not correlate. DSA-negative CAMR had lower AMR pathway scores than DSA-positive CAMR. Transcript analysis in non-CAMR biopsies yielded evidence of increased risk of later CAMR. Among 108 patients without histologic CAMR, 23 developed overt biopsy-documented CAMR within 5 years and as a group had higher AMR pathway scores (P=3.4 × 10–5). Random forest analysis correlated 3-year graft loss with elevated damage, innate immunity, and macrophage pathway scores in CAMR and TCMR. Graft failure in CAMR was associated with TCMR transcripts but not with AMR transcripts, and graft failure in TCMR was associated with AMR transcripts but not with TCMR transcripts. Conclusions Peritubular capillary inflammation and DSA are the primary drivers of AMR transcript elevation. Transcripts revealed subpathological evidence of AMR, which often preceded histologic CAMR and subpathological evidence of TCMR that predicted graft loss in CAMR.
Clinical Strategies Targeting the Tumor Microenvironment of Pancreatic Ductal Adenocarcinoma

Simple Summary Tumors from pancreatic cancer contain many types of cells (such as immune cells and fibroblasts) in addition to the cancer cells. Using targeted drugs to disrupt interactions between these cells which can support cancer cell growth, invasion, and immune suppression has become an important area of exploration in the pancreatic cancer field. This review describes new drugs designed to modulate interactions between cancer cells and other cell types in the tumor and discusses the initial clinical trials testing these novel therapeutics in pancreatic cancer patients. Abstract Pancreatic cancer has a complex tumor microenvironment which engages in extensive crosstalk between cancer cells, cancer-associated fibroblasts, and immune cells. Many of these interactions contribute to tumor resistance to anti-cancer therapies. Here, new therapeutic strategies designed to modulate the cancer-associated fibroblast and immune compartments of pancreatic ductal adenocarcinomas are described and clinical trials of novel therapeutics are discussed. Continued advances in our understanding of the pancreatic cancer tumor microenvironment are generating stromal and immune-modulating therapeutics that may improve patient responses to anti-tumor treatment.
Structural and elemental characterization of high efficiency Cu2ZnSnS4 solar cells

We have carried out detailed microstructural studies of phase separation and grain boundary composition in Cu2ZnSnS4 based solar cells. The absorber layer was fabricated by thermal evaporation followed by post high temperature annealing on hot plate. We show that inter-reactions between the bottom molybdenum and the Cu2ZnSnS4, besides triggering the formation of interfacial MoSx, results in the out-diffusion of Cu from the Cu2ZnSnS4 layer. Phase separation of Cu2ZnSnS4 into ZnS and a Cu–Sn–S compound is observed at the molybdenum-Cu2ZnSnS4 interface, perhaps as a result of the compositional out-diffusion. Additionally, grain boundaries within the thermally evaporated absorber layer are found to be either Cu-rich or at the expected bulk composition. Such interfacial compound formation and grain boundary chemistry likely contributes to the lower than expected open circuit voltages observed for the Cu2ZnSnS4 devices.
Changes in the Genetic Structure of Lithuania’s Wild Boar (Sus scrofa) Population Following the Outbreak of African Swine Fever

The emergence of African swine fever (ASF) in Lithuania and its subsequent persistence has led to a decline in the population of wild boar (Sus scrofa). ASF has been spreading in Lithuania since its introduction, therefore it is important to understand any genetic impact of ASF outbreaks on wild boar populations. The aim of this study was to assess how the propensity for an outbreak has shaped genetic variation in the wild boar population. A total of 491 wild boar samples were collected and genotyped using 16 STR markers. Allele richness varied between 15 and 51, and all SSR loci revealed a significant deviation from the Hardy–Weinberg equilibrium. Fixation indices indicated a significant reduction in heterozygosity within and between subpopulations. PCoA and STRUCTURE analysis demonstrated genetic differences between the western region which had had no outbreaks (restricted zone I) and the region with ASF infection (restricted zones II and III). It is concluded that environmental factors may play a particular role in shaping the regional gene flow and influence the genetic structure of the wild boar population in the region with ASF outbreaks.
VARIOUS FORMS OF EXECUTING PEER REVIEWS IN CIVIL ENGINEERING EDUCATION

This paper investigates the students’ perceived outcomes of different types of peer review. The purpose is to evaluate the students’ learning outcomes through surveys after attending the various peer review sessions. The motivation for using peer reviews for the engineering students is to engage the students as presenters and opponents. This could improve the students’ ability to be critical of their work and to give and receive feedback. The three different peer review concepts investigated in this paper are i) supervised peer review with one or more university employees, ii) unsupervised peer review where the students will execute the session on their own, and iii) written peer review where the students will be organised in pairs with another group and only give and receive written feedback. The results from the surveys can identify the learning outcomes and other dividends from the different ways of using peer review as a part of the supervising on the academic work. The findings could help improve the ways of supervising students in their academic work, and also whether the different ways of executing the peer reviews differ much in the students’ learning outcomes.
Vietnamese speakers' mispronunciation of Japanese singleton and geminate stops

: Vietnamese speakers’ mispronunciations of Japanese singleton and geminate stops were identiﬁed using the category boundary of the stops pronounced by native Japanese speakers. To clarify the characteristics of the Vietnamese speakers’ mispronunciations, their speech segment durations were analyzed. In comparison with native Japanese speakers’ correct pronunciations, Vietnamese speakers mispronounced a singleton stop with a longer closure and a shorter preceding consonant-vowel segment, whereas they mispronounced a geminate stop with a shorter closure and a longer following consonant-vowel segment. These results were consistent with the ﬁndings of Korean, Taiwanese Mandarin, and Thai speakers in previous studies, suggesting that non-native speakers may have a common tendency to have inadequate durations of closure and anteroposterior consonant-vowel segments in mispronunciations of Japanese singleton and geminate stops.
Knowledge, Attitude and Practices of Breastfeeding among mothers of children six months to three years seen at a tertiary children hospital in Freetown

Introduction Severe acute malnutrition accounts for a significant proportion of admission into the tertiary children’s hospital in Freetown. However, adequate breastfeeding is supposed to protect against severe malnutrition. Against this background, the knowledge, attitude and practice of mothers of children admitted into the hospital, were assed to determine the current state of breastfeeding in Sierra Leone. Methods: A structured questionnaire specifically designed and pretested was used to gather information on the knowledge, attitude and practice of breastfeeding of mothers with children aged 3 years and below admitted into ODCH between January and April 2021. Result: Of the 206 mothers studied, 168 (81.6%) were aged 18 to 35 years, 145 (70.4%) married. Thirty-five (17%) respondents had inadequate knowledge, while 61 (29.6%) had poor attitude and 115 (55.8%) poor practice. Factors associated with poor breastfeeding practice include age below 18 years, unmarried mothers and delivery by Caesarian section. Exclusive breastfeeding for 6 months was associated with being married (ρ-0.002). Initiation of breast feeding within 1 hour was associated with being married (ρ-0.001) and vaginal delivery (ρ-0.005) while prelacteal feeding was associated with preterm delivery (ρ-0.020). Conclusion: Despite a high prevalence of adequate knowledge among mothers of children presenting in the facility, the practice of breast feeding remain poor. There is need to provide support to mothers to appropriately carry out good breast feeding practices especially for younger and unmarried mothers and those who deliver via ceasarean section.
Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach

Abstract Age-related cognitive decline varies greatly in healthy older adults, which may partly be explained by differences in the functional architecture of brain networks. Resting-state functional connectivity (RSFC) derived network parameters as widely used markers describing this architecture have even been successfully used to support diagnosis of neurodegenerative diseases. The current study aimed at examining whether these parameters may also be useful in classifying and predicting cognitive performance differences in the normally aging brain by using machine learning (ML). Classifiability and predictability of global and domain-specific cognitive performance differences from nodal and network-level RSFC strength measures were examined in healthy older adults from the 1000BRAINS study (age range: 55–85 years). ML performance was systematically evaluated across different analytic choices in a robust cross-validation scheme. Across these analyses, classification performance did not exceed 60% accuracy for global and domain-specific cognition. Prediction performance was equally low with high mean absolute errors (MAEs ≥ 0.75) and low to none explained variance (R2 ≤ 0.07) for different cognitive targets, feature sets, and pipeline configurations. Current results highlight limited potential of functional network parameters to serve as sole biomarker for cognitive aging and emphasize that predicting cognition from functional network patterns may be challenging.