Miracle-dz/UniFAR-FTUs huggingface dataset:
Google, data voids, and the dynamics of the politics of exclusion

This study deploys a critical approach to big data analytics to gauge the tentative contours of data voids in Google searches that reflect extreme-right dynamics of exclusion in the aftermath of the 2015 humanitarian crisis in Europe. The study adds complexity to the analysis of data voids, expanding the framework of investigation outside the USA context by concentrating on Germany and Sweden. Building on previous big data analytics addressing the politics of exclusion, the study proposes a catalogue of queries concerning the issue of migration in both Germany and Sweden on a continuum from mainstream to extreme-right vocabularies. This catalogue of queries enables specific and localized queries to identify data voids. The results show that a search engine's reliance on source popularity may lead to extreme-right sources appearing in top positions. Furthermore, using platforms for user-generated content provides a way for localized queries to gain top positions.
Asian Disease Problem Applied to Climate Change: A Study of the Impact of Framing Risk Preferences Driven by Socio-Economic Indicators for Climate-Change-Related Risks

The Asian disease problem has long been studied since first introduced by Tversky and Kahneman in 1981. This study explores the mechanics of the Asian disease problem to a scenario reflecting deaths attributed to climate change. The study examines the gain/loss frame setup of the Asian disease problem. To research the Asian disease problem, in partnership with a Qualtrics panel, we surveyed 1209 customers of Utah utilities. Through statistical tests on the survey data, we confirmed the existence of the gain/loss framing effect. Moreover, the framing effect held when separating and examining responses based on unique socio-economic characteristics (i.e., age, gender, race, marital status, income, educational attainment, political preference, living status, household size, years at current residence, and energy-saving preference). In short, like the original Asian disease problem, the framing impact varied regardless of the characteristic studied. Based on these findings, we recommend implementing the framing effects of the Asian disease problem to an expanded realm for energy- and climate-related programs, initiatives, and academic research. We believe that this framing could spur action to mitigate climate change. Moreover, we recommend an expanded empirical study of the Asian disease problem to novel and understudied realms beyond our focus area.
Recent Progress and Development of Hyperdimensional Computing (HDC) for Edge Intelligence

Brain-inspired Hyperdimensional Computing (HDC) is an emerging framework in low-energy designs for solving classification tasks at the edge. Unlike mainstream neural networks (NNs) with high computational complexity, HDC offers a fast training strategy and an energy-efficient inference mechanism by computing data in the high-dimensional space with high parallelism. However, the original computing method of HDC results in weak accuracy due to its simplicity. Therefore, many works have proposed algorithmic innovations to improve the accuracy of HDC, while maintaining its efficiency with dedicated hardware architectures. Given this period of rapid evolution, this review paper presents a comprehensive study of recent developments improving the accuracy-efficiency trade-off of HDC, covering both algorithm and hardware-level approaches. Besides, as the amount of data generated by the Internet of the Things (IoT) devices keeps increasing, edge-cloud collaboration has become a key area of research. The emerging federated learning (FL) has become a key enabler in overcoming security and privacy issues by exchanging locally trained models for global aggregation. However, the energy constraint of edge devices hinders them from the real-time training of NN models. Alternatively, adopting HDC as a local model can be a potential solution to alleviating this issue since the computational requirements of HDC are affordable to most edge devices. In addition, HDC-based coding for wireless communication has been gaining traction due to its noise robustness. Therefore, this paper also covers recent works on HDC-based edge-cloud collaborative learning. Finally, we conclude this paper by highlighting the possible applications and future directions of HDC.
Cinnamomum cassia and Rosa laevigata Mixture Improves Benign Prostatic Hyperplasia in Rats by Regulating Androgen Receptor Signaling and Apoptosis

Benign prostatic hyperplasia (BPH) is the most common condition in elderly men that is characterized by an increase in the size of the prostate gland. Cinnamomum cassia and Rosa laevigata have been reported to treat the symptoms associated with BPH. The aim of this study was to evaluate the effects of HT080, an herbal extract of C. cassia and R. laevigata, on a testosterone propionate (TP)-induced BPH rat model. The rats received a daily subcutaneous injection of TP (3 mg/kg) for 4 weeks to induce BPH. Rats were divided into four groups: group 1 (sham), group 2 (BPH, TP alone), group 3 (Fina, TP + finasteride 1 mg/kg/day), and group 4 (HT080, TP + HT080 200 mg/kg/day). At the end of the experiment, all rats were sacrificed, and their prostate glands were removed, weighed, and subjected to histopathological examination and western blot analyses. Serum testosterone and dihydrotestosterone (DHT) levels were determined. In addition, serum alanine and aspartate aminotransferase levels were measured to evaluate the toxicity in the liver. The Hershberger bioassay was also conducted to investigate the effects of HT080 on androgenic and antiandrogenic activities. In the BPH model, the prostate weight, prostate index, prostate epithelial thickness, and serum testosterone and DHT levels in the HT080 group were significantly reduced compared to the BPH group. Histological studies showed that HT080 reduced prostatic hyperplasia. The protein expression of androgen receptor from the HT080 group was significantly reduced in comparison with the BPH group (p < 0.05). HT080 also induced apoptosis by regulating Bcl-2 and Bax expression. In addition, HT080 showed no toxicity in the liver and did not exhibit androgenic and antiandrogenic activities. Our finding revealed that HT080 can be a potential candidate for the treatment of BPH by regulating androgen receptor signaling and apoptosis.
Prediction of Changes to the Suitable Distribution Area of Fritillaria przewalskii Maxim. in the Qinghai-Tibet Plateau under Shared Socioeconomic Pathways (SSPs)

The Qinghai–Tibet Plateau has given birth to many indigenous highland plants due to its special geographical location and sensitivity to climate change. Relevantly, the impact of climate change on species distribution has been a hot issue for research in biogeography. Using the maximum entropy (MaxEnt) model, the spatial distribution of habitat suitability for Fritillaria przewalskii Maxim. (FPM) on the Tibetan Plateau was predicted and ranked by combining ecological data and information on its actual current geographical distribution. The potential distribution and trends of FPM on the Tibetan Plateau from 2021 to 2040, 2041 to 2060, 2061 to 2080 and 2081 to 2100 under four current and future climate scenarios (SSP126, SSP245, SSP370 and SSP585) were also predicted. The predictions were found to be highly accurate with AUC values of 0.9645 and 0.9345 for the training and test sets, respectively. A number of conclusions could be drawn from the results. Firstly, the main ecological factors limiting the growth distribution of FPM were the Vegetation types, NPP (net primary production), Soil types, Bio7 (temperature annual range), Pop (population), Slope, GDP, Aspect, Bio1 (annual mean temperature) and Elevation, with a cumulative contribution of 97.6%. Secondly, in the recent past period of 1970–2000, the total suitable distribution area of FPM accounted for 5.55% of the plateau’s total area, which was about 14.11 × 104 km2, concentrated in its eastern and central regions. Thirdly, compared to the previous period, the aforementioned distribution area will, for the period spanning 2021–2040, increase by 14.48%, 16.23%, 16.99%, and 21.53% in the SSP126, SSP245, SSP370, and SSP585 scenarios, respectively. This comes with an overall expansion trend, and the areas predicted to be affected are concentrated in the eastern and central-western parts of the Tibetan Plateau. The other three future periods 2041–2060, 2061–2080, and 2081–2100 also show increases in these total areas to varying degrees. It is noteworthy that in the future periods 2061–2080 and 2081–2100, under the SSP370 and SSP585 scenarios, the area of high suitable distribution decreases or even disappears. Lastly, under the four climate scenarios, the FPM suitable distribution area will shift towards the western part of the Tibetan Plateau.
The Cost-Effectiveness of and Adherence to Disease-Modifying Antirheumatic Drug (DMARD) Therapy in Rheumatoid Arthritis Patients in a Tertiary Care Teaching Hospital in Uttarakhand, India

Objective This study was conducted with the aim of evaluating the cost-effectiveness of and adherence to treatment in patients on disease-modifying antirheumatic drug (DMARD) therapy for rheumatoid arthritis (RA) in a tertiary care teaching hospital in Uttarakhand, India. Methodology This prospective observational study was conducted on 150 rheumatoid arthritis patients presenting to the Rheumatology Outpatient Department (OPD) receiving DMARD therapy (approval number AIIMS/IEC/18/160). The patients were followed up for an average of 10.7 weeks and received drugs in four regimens with methotrexate (MTX) (Regimen 1) having the least contribution with a mean of 46.05 Rs, methotrexate + hydroxychloroquine (MTX + HCQ) (Regimen 2) with 174.15 Rs, methotrexate + hydroxychloroquine + leflunomide (MTX + HCQ + Lef) (Regimen 3) with Rs 371.70, and methotrexate + hydroxychloroquine + leflunomide + biological DMARD adalimumab (MTX + HCQ + Lef + bDMARD adalimumab) (Regimen 4) with 17,349.4 Rs. The cost of drug therapy was assessed by calculating the cost of therapy per month for each patient, and adherence was assessed using the Morisky-Green-Levine Scale (MGLS) at the follow-up visit. Results The overall mean cost of DMARD treatment was 205.81 Rs. The overall DMARD therapy cost-effectiveness was Rs 878.14 for a unit change of Disease Activity Score (DAS28). The most cost-effective treatment came out to be Regimen 1 with the least cost of 290.9 Rs for a unit change of DAS28, and the least cost-effective was Regimen 4 with 65,661.8 Rs for a unit change of DAS28. At follow-up, among all subjects of the study, 49 (32.7%) subjects showed high adherence, 71 (47.3%) subjects showed medium adherence, and 30 (20%) subjects showed low adherence. Accordingly, the maximum number of participants fell in the category of medium adherence, i.e., 71 (47.4%). Conclusion Our study concluded that the cost burden varied according to the number of DMARDs being given to the patient. The double-drug therapy of methotrexate + hydroxychloroquine had a maximum “high adherence. ” On a whole, the majority of patients had “medium adherence” to therapy.
Understanding innovation process within an interactive social network: Empirical insights from maize innovations in southern Ghana

Abstract Agricultural innovations propel improvement in agricultural productivity. Even though, the related literature largely reports low adoption of innovations, the literature deficiently accounts for the complexities and the interactive social contexts that embed innovation processes. In addressing the lacuna, it remains imperative to understand the complexities of the innovation process. This study assesses the factors influencing the intricate innovation processes toward the uptake of maize innovations among smallholder farmers in Ghana. The study relied on focus group discussions, observations, and individual in-depth interviews with thirty maize farmers in Kintampo District and Wenchi Municipal Assembly in Ghana. Content analysis was used to analyze the qualitative information. The findings show many instances of learning, knowledge transfer, and uptake of practices among farmers during innovation processes. We find adaptations to existing farm practices, and local contexts. With unintended outcomes which appear useful for learning and co-learning in the innovation ecosystem. The innovation processes are shaped by farmers characteristics and personal goals, trialability of technology, social network, relative advantage of the technology, access to information and extension services, and sociocultural conditions in the external environment. The farmer field schools, and field days constitute important conduits in promoting increased maize innovations uptake among farmers. We suggest that, in understanding adoption, focus should be paid to the complexities in the innovation processes reckoning that it is embedded in an interactive social network, with many instances of learning, co-learning, knowledge transfer, contestations, and negotiations. This should guide policy decisions to better inform the design of programme interventions.
A Numerical Model for Understanding the Development of Adhesion during Drying of Cellulose Model Surfaces

Adhesion is crucial for the development of mechanical properties in fibre-network materials, such as paper or other cellulose fibre biocomposites. The stress transfer within the network is possible through the fibre–fibre joints, which develop their strength during drying. Model surfaces are useful for studying the adhesive strength of joints by excluding other parameters influencing global performance, such as geometry, fibre fibrillation, or surface roughness. Here, a numerical model describes the development of adhesion between a cellulose bead and a rigid surface using an axisymmetric formulation, including moisture diffusion, hygroexpansion, and cohesive surfaces. It is useful for studying the development of stresses during drying. A calibration of model parameters against previously published contact and geometry measurements shows that the model can replicate the observed behaviour. A parameter study shows the influence of cohesive and material parameters on the contact area. The developed model opens possibilities for further studies on model surfaces, with quantification of the adhesion during pull-off measurements.
Opportunities and Challenges of Understanding Community Assembly in Spontaneous Food Fermentation

Spontaneous fermentations that do not rely on backslopping or industrial starter cultures were especially important to the early development of society and are still practiced around the world today. While current literature on spontaneous fermentations is observational and descriptive, it is important to understand the underlying mechanism of microbial community assembly and how this correlates with changes observed in microbial succession, composition, interaction, and metabolite production. Spontaneous food and beverage fermentations are home to autochthonous bacteria and fungi that are naturally inoculated from raw materials, environment, and equipment. This review discusses the factors that play an important role in microbial community assembly, particularly focusing on commonly reported yeasts and bacteria isolated from spontaneously fermenting food and beverages, and how this affects the fermentation dynamics. A wide range of studies have been conducted in spontaneously fermented foods that highlight some of the mechanisms that are involved in microbial interactions, niche adaptation, and lifestyle of these microorganisms. Moreover, we will also highlight how controlled culture experiments provide greater insight into understanding microbial interactions, a modest attempt in decoding the complexity of spontaneous fermentations. Further research using specific in vitro microbial models to understand the role of core microbiota are needed to fill the knowledge gap that currently exists in understanding how the phenotypic and genotypic expression of these microorganisms aid in their successful adaptation and shape fermentation outcomes. Furthermore, there is still a vast opportunity to understand strain level implications on community assembly. Translating these findings will also help in improving other fermentation systems to help gain more control over the fermentation process and maintain consistent and superior product quality.
Factors Influenced User Interest in Payment Transaction of ShopeePay Digital Wallet Application

The value of transactions has increased along with the dangers involved due to technological advancements, but because each Digital Wallet Application provides a guarantee of the performance of the payment system, it is in the interest of Indonesian users to support the growth of the financial system because the country desperately needs a secure and efficient payment system. This study's goal was to identify the variables that affect users' interest in payment transactions for the ShopeePay digital wallet application. The study is grounded in the technology acceptance model (TAM). Users of applications from the millennial to generation z age group, ranging in age from 16 to 50 years, were given questionnaires to complete in order to gather the research data. Multiple linear regression analysis was used to analyze the data, and IBM SPSS Statistics 25.0 software was used. The findings demonstrated that perceived utility, perceived security and perceived usability had an impact on customer intention, however perceived risk, and perceived rewards, had no bearing on the intention of customers using ShopeePay Digital Wallet. According to the findings of these research, learning the system is simple, and users can profit from higher production as well as more efficacy and efficiency. Users of the ShopeePay Digital Wallet application may feel differently as a result.
PRECISION CALCULATION OF THE π-d SCATTERING LENGTH

We present a calculation of the π-d scattering length in the framework of chiral perturbation theory (ChPT) with focus on virtual-photon effects. Using data on pionic deuterium and pionic hydrogen atoms, we extract the isoscalar and isovector pion–nucleon scattering lengths and , as well as—via the Goldberger–Miyazawa–Oehme sum rule—the charged-pion–nucleon coupling constant
Clinical Evidence of Low-Carbohydrate Diets against Obesity and Diabetes Mellitus

The popularity of low-carbohydrate diets (LCDs) in the last few decades has motivated several research studies on their role in a variety of metabolic and non-morbid conditions. The available data of the results of these studies are put under the research perspective of the present literature review of clinical studies in search of the effects of LCDs on Obesity and Diabetes Mellitus. The electronic literature search was performed in the databases PubMed, Cochrane, and Embase. The literature search found seven studies that met the review’s inclusion and exclusion criteria out of a total of 2637 studies. The included studies involved randomized controlled trials of at least 12 weeks’ duration, in subjects with BMI ≥ 25 kg/m2, with dietary interventions. The results of the study on the effects of LCDs on obesity showed their effectiveness in reducing Body Mass Index and total body fat mass. In addition, LCDs appear to cause drops in blood pressure, low-density lipoprotein (LDL), and triglycerides, and seem to improve high-density lipoprotein (HDL) values. Regarding the effectiveness of LCDs in Diabetes Mellitus, their effect on reducing insulin resistance and fasting blood glucose and HbA1c values are supported. In conclusion, the results suggest the critical role of LCDs to improve the health of people affected by obesity or diabetes.
CRB-65 for Risk Stratification and Prediction of Prognosis in Pulmonary Embolism

Background: Pulmonary embolism (PE) is accompanied by high morbidity and mortality. The search for simple and easily assessable risk stratification scores with favourable effectiveness is still ongoing, and prognostic performance of the CRB-65 score in PE might promising. Methods: The German nationwide inpatient sample was used for this study. All patient cases of patients with PE in Germany 2005–2020 were included and stratified for CRB-65 risk class: low-risk group (CRB-65-score 0 points) vs. high-risk group (CRB-65-score ≥1 points). Results: Overall, 1,373,145 patient cases of patients with PE (76.6% aged ≥65 years, 47.0% females) were included. Among these, 1,051,244 patient cases (76.6%) were classified as high-risk according to CRB-65 score (≥1 points). The majority of high-risk patients according to CRB-65 score were females (55.8%). Additionally, high-risk patients according to CRB-65 score showed an aggravated comorbidity profile with increased Charlson comorbidity index (5.0 [IQR 4.0–7.0] vs. 2.0 [0.0–3.0], p < 0.001). In-hospital case fatality (19.0% vs. 3.4%, p < 0.001) and MACCE (22.4% vs. 5.1%, p < 0.001) occurred distinctly more often in PE patients of the high-risk group according to CRB-65 score (≥1 points) compared to the low-risk group (= 0 points). The CRB-65 high-risk class was independently associated with in-hospital death (OR 5.53 [95%CI 5.40–5.65], p < 0.001) as well as MACCE (OR 4.31 [95%CI 4.23–4.40], p < 0.001). Conclusions: Risk stratification with CRB-65 score was helpful for identifying PE patients being at higher risk of adverse in-hospital events. The high-risk class according to CRB-65 score (≥1 points) was independently associated with a 5.5-fold increased occurrence of in-hospital death.
Vitamin D Inadequacy Affects Skeletal Muscle Index and Physical Performance in Lumbar Disc Degeneration

Lumbar disc degeneration (LDD) is one of the fundamental causes of low back pain. The aims of this study were to determine serum 25-hydroxyvitamin D (25(OH)D) levels and physical performance and to investigate the relationship between serum vitamin D levels, muscle strength and physical activity in elderly patients with LDD. The participants were 200 LDD patients, including 155 females and 45 males aged 60 years and over. Data on body mass index and body composition were collected. Serum 25(OH)D and parathyroid hormone levels were measured. Serum 25(OH)D was classified into the insufficiency group: <30 ng/mL and the sufficiency group: ≥30 ng/mL. Muscle strength was assessed by grip strength, and physical performance (short physical performance battery) was evaluated by the balance test, chair stand test, gait speed, and Timed Up and Go (TUG) test. Serum 25(OH)D levels in LDD patients with vitamin D insufficiency were significantly lower than in those with vitamin D sufficiency (p < 0.0001). LDD patients with vitamin D insufficiency had a prolonged time in physical performance on gait speed (p = 0.008), chair stand test (p = 0.013), and TUG test (p = 0.014) compared to those with vitamin D sufficiency. Additionally, we found that serum 25(OH)D levels were significantly correlated with gait speed (r = −0.153, p = 0.03) and TUG test (r = −0.168, p = 0.017) in LDD patients. No significant associations with serum 25(OH)D status were observed for grip strength and balance tests among patients. These findings demonstrate that higher serum 25(OH)D levels are associated with better physical performance in LDD patients.