Miracle-dz/UniFAR-FTUs huggingface dataset:
WiN-Reha—effectiveness and durability of effects of orthopedic rehabilitation programs and the study of psychological determinants of aftercare behaviors: a study protocol

Background and aim Rehabilitation programs have been shown to have a positive impact on patients' health and work ability. However, the durability of these effects and the extent to which patients alter their health behaviors remain underexplored. This study is divided into two parts; the first assesses the effectivity of rehabilitation programs for orthopedic patients and the durability of effects. The second part examines psychological determinants of aftercare health behaviors. Subject and methods Study Part 1 employs a longitudinal study design with up to nine measurement occasions encompassing a three-year follow-up period. Treatment is provided as per orthopedic indications through rehabilitation centers. Measures include subjective health, work ability, body weight, and physical activity behavior. Study Part 2 incorporates a mixed-methods design, involving both quantitative and qualitative assessments. The quantitative component aims to recruit a subsample from Study Part 1 to assess psychological determinants of aftercare health behaviors over 12 to 24 weeks using Ambulatory Assessment. The qualitative component aims to explore the reasons for maintenance and discontinuation of health behaviors and involves a reflexive thematic analysis of interviews with at least 16 individuals, analyzing the differences between those who adopt and those who discontinue their aftercare health behavior. Discussion This comprehensive research project may offer insights into the long-term effectivity of rehabilitation programs. Furthermore, it may foster a more profound understanding of the successful incorporation of health-promoting aftercare behaviors, such as physical activity, into everyday life. Therefore, this study may contribute significantly to the evolving field of patient-centered rehabilitation. Trial registration The trial has been registered at the German Register of Clinical Studies (DRKS) with the registration number: DRKS00032257
The Depressiveness, Quality of Life and NEO-FFI Scale in Patients with Selected Genodermatoses

Background: Dermatological conditions extend beyond physical symptoms, profoundly impacting the psychological well-being of patients. This study explores the intricate relationship between depressive symptoms, quality of life (QoL), and personality traits in individuals diagnosed with specific genodermatoses. Methods: The study cohort comprised 30 patients with genodermatoses treated at the dermatology clinic, and a healthy control group. Standardized survey questionnaires: The Dermatology Life Quality Index (DLQI), Beck’s Depression Inventory (BDI), and NEO Five-Factor Inventory (NEO-FFI) were employed for assessments. Results: The findings indicate a significantly elevated risk of severely or very severely reduced QoL in the study group compared to matched controls (OR = 22.2, 95% CI: 2.7–184.8). Specifically, individuals with ichthyosis exhibited a staggering 131-fold higher risk of diminished QoL compared to the control group. Furthermore, the prevalence of depression was higher in the study group than in the control group (36.7% vs. 10%; p = 0.0086). A detailed analysis revealed that patients with low or average agreeableness exhibited a notably higher incidence of depression compared to those with high agreeableness (100% or 75% vs. 28.6%; p = 0.0400). Similarly, individuals with high levels of neuroticism had a significantly higher incidence of depression compared to those with average or low levels of neuroticism (rates: 66.7% vs. 9.1% or 0%, respectively; p = 0.0067). Conclusions: The study underscores a substantial correlation between genodermatoses and the mental health of affected individuals, underscoring the imperative consideration of psychological factors in the management of hereditary skin disorders. Our study’s primary limitation is the small sample size, stemming from difficulties in recruiting participants due to the rare nature of the studied conditions.
Physical exercise frequency and cognition: a multicenter cross-sectional cohort study

Background and aims Dementia imposes a heavy burden on society and families, therefore, effective drug treatments, exploring and preventing factors associated with dementia, are paramount. To provide reference points for the best frequency of physical exercise (physical exercise), we investigated the association between frequency of PE and cognition in Chinese old adults. Methods 16,181 Chinese participants aged 65 years or older were included in this study. Associations between PE and cognition were estimated multivariate logistic and linear regression analyses. Associations were further investigated across dementia subtypes (Alzheimer dementia, vascular dementia, and other types of dementia). Subgroup analyses were performed in different age groups, in populations with and without stroke, and those with and without hypertension. Results PE associated with dementia after adjusting for full covariates (OR: 0.5414, 95% CI: 0.4536–0.6491, p < 0.001). Exercise performed at ≥3 times/week associated with lower risk of dementia (OR: 0.4794–0.6619, all p value <0.001). PE was associated with improved cognition (β: 12851, p < 0.001), and any PE frequency contributed to cognitive improvement (p values for exercise performed ≥1 time/week were <0.001). Similar conclusions were identified when we repeated analyses in different dementia subtypes and age groups. Subgroup analyses suggested that the cognition of individuals without hypertension also benefitted from exercising 1–2 times/week (OR: 0.6168, 95% CI: 0.4379–0.8668, p = 0.005). Conclusion The best exercise frequency is exercising ≥3 times/week for individuals from different dementia subtypes and age groups. While for those without hypertension, PE at 1–2 times /week is also beneficial.
SOLID MICROMECHANICS: RESEARCH AND CHALLENGES

Micromechanics and materials are essential elements in all of the transcendent technologies that are the primary drivers of the twenty first century and in the new economy. The transcendent technologies include nanotechnology, microelectronics, information technology and biotechnology. Research tools, opportunities and challenges in mechanics and materials, including micro/nanomechanics, multiscale mechanics, microscopy, radiation scattering and other nanoscale metrologies, as well as improved engineering and design of materials are presented and discussed.
The Fatty Liver Index’s Association with Incident Chronic Kidney Disease in Korean Middle-Aged Adults: A Community-Based Cohort Study

(1) Background: The relationship between nonalcoholic fatty liver disease (NAFLD) and incident chronic kidney disease (CKD) is unclear, and long-term follow-up data are limited. Therefore, this study aimed to evaluate whether NAFLD, as assessed by the fatty liver index (FLI), could predict the development of CKD in a community-based Korean cohort over 16 years. (2) Methods: Among the 10,030 total participants, 7778 patients without CKD were selected from the Korean Genome and Epidemiology Study (KoGES). The FLI grade ranged from 0 to 100 and was divided into three groups: low (FLI, <30), intermediate (FLI, 30–59), and high (FLI, ≥60). An estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m2 or the development of proteinuria was considered to indicate incident CKD. (3) Results: During the 16-year follow-up period, 919 individuals (11.8%) developed CKD. The HRs of incident CKD in the intermediate FLI group (30–59) and high FLI group (≥60) increased compared with the reference low FLI group (<30) after adjusting for potentially confounding variables. NAFLD, as assessed by the FLI, was an independent risk factor for CKD. (4) Conclusions: Our findings suggest that the FLI, a simple surrogate biomarker of fatty liver disease, may be used to identify people at high risk of incident CKD in clinical practice.
Pentastiridius leporinus (Linnaeus, 1761) as a Vector of Phloem-Restricted Pathogens on Potatoes: ‘Candidatus Arsenophonus Phytopathogenicus’ and ‘Candidatus Phytoplasma Solani’

Simple Summary In Germany, the planthopper Pentastiridius leporinus currently represents the most important vector for the spread of two pathogens, ‘Candidatus Arsenophonus phytopathogenicus’ and ‘Candidatus Phytoplasma solani’, which are associated with the syndrome “Basses Richesses” in sugar beets. In 2022, this planthopper was also found in potato fields in Germany along with symptoms of yellowing, wilting and rubbery tubers. In this study, greenhouse experiments with adult P. leporinus were conducted showing that it is able to transmit both pathogens to potatoes. Furthermore, it was confirmed that this vector can complete its entire lifecycle on both crops. To enable an accurate assessment of the phytoplasma titer in the vector and host plant, real-time PCR assays were performed using a synthetic DNA standard. Our study results highlight that P. leporinus may play an increasingly important role in agricultural cropping systems being a vector for two bacterial pathogens in two crops. Abstract In Germany, the phloem-sucking planthopper Pentastiridius leporinus (Hemiptera: Cixiidae) currently represents the epidemiological driver for the spread of the syndrome “Basses Richesses” in sugar beets, which results in a reduced sugar content and an economic loss for the farmers. This disease is associated with the γ-proteobacterium ‘Candidatus Arsenophonus phytopathogenicus’ and the Stolbur phytoplasma ‘Candidatus Phytoplasma solani’. Recently, P. leporinus was found in potato fields in Germany and is associated with Stolbur-like symptoms in this crop. In this study, we confirmed that the vector completes its lifecycle on sugar beets as well as on potatoes when reared under controlled conditions. Transmission experiments with adults of this vector combined with molecular analyses showed, for the first time, that both pathogens are transmitted by this vector to potatoes. For an accurate assessment of the Ca. P. solani and Ca. A. phytopathogenicus titers in the vector and host plants, gBlocks derived from the hsp20- and 16S rRNA genes were employed, respectively. For Ca. P. solani, the limit of detection was determined in potato and sugar beet material. The results of this study will further the research on the epidemiology of the syndrome “Basses Richesses” and “Stolbur” diseases and the response of host plants and vector insects to both pathogens.
Prediction of Intermittent Demand Occurrence using Machine Learning

Demand forecasting plays a pivotal role in modern Supply Chain Management (SCM). It is an essential part of inventory planning and management and can be challenging at times. One of the major issues being faced in demand forecasting is insufficient forecast accuracy to predict the expected demand and fluctuation in actual vs. the predicted demand results in fore-casting errors. This problem is further exaggerated with slow-moving and intermittent demand items. Every organization encounters large proportions of items that have small ir-regular demand with long periods of zero demand, which are known as intermittent demand Items. Demand for such items occur sporadically and with considerable fluctuation in the size of the demand. Forecasting of the intermittent demand entails the prediction of demand series that is characterized by the time interval between demand being significantly greater than the unit forecast period. Because of this there are multiple periods of no demand in the intermittent demand time series. The challenge with these products with low irregular demand is that these items need to be stocked and replenished at regular interval irrespective of the demand cycle, thus adding to the cost of holding the inventory. Since the demand is not continuous, Traditional Forecasting models are unable to provide reliable estimate of required inventory level and replenishment point. Forecast errors would resulting in obsolescent stock or unfulfilled demand. The current paper presents a simple yet powerful approach for generating a demand forecasting and replenishment process for such low volume intermittent demand items to come up with a recommendation for dynamic re-order point, thus, improving the inventory performance of these items. Currently, the demand forecast is generally based on past usage patterns. The rise of Artificial Intelligence/Machine Learning (AI/ML) has provided a strong alternative to solve the problem of forecasting Intermittent Demand. The intention is to highlight that machine learning algorithm is more efficient and accurate than traditional forecasting method. As we move forward to industry 4.0, the digital supply chain is considered as the most essential com-ponent of the value chain wherein the inventory size is controlled, and the demand predicted.
Back to the Future of Metabolism—Advances in the Discovery and Characterization of Unknown Biocatalytic Functions and Pathways

The architecture, organization, and functioning of biocatalytic reaction networks, which are coded in the cell-specific genome and which work together in the small space of biological cells, are a fascinating feature of life evolved over more than 3 billion years. Knowledge about the diversity of biocatalytic functions and metabolic pathways sustaining life on our planet is highly important, especially as the currently occurring loss of biodiversity is considered a planetary boundary that is at high risk, and knowledge about the life of current biological organisms should be gained before they become extinct. In addition to the well-known enzymatic reactions involved in biochemical pathways, the enzyme universe offers numerous opportunities for discovering novel functions and pathways. Maintaining thousands of molecules and reactions functioning properly within biological cells, which may be exposed to various kinds of external hazards, environmental stress, enzymatic side reactions, or non-enzymatic chemical reactions, is key for keeping cellular life healthy. This review aims to outline advances in assigning enzyme functions to protein sequences and the discovery of novel biocatalytic functions and pathways.
THE INFLUENCE OF RELIGIOSITY, LITERACY, AND SERVICE QUALITY ON PAYMENT COMPLIANCE VEHICLE TAX IN KUDUS

This study investigated the influence of religiosity, Knowledge, and quality service of the taxpayer on the vehicle tax payment in Kudus. The data was obtained by spreading the 210 questionnaires in samsat (Sistem Administrasi Manunggal Satu Atap) Kudus. The ten questionnaire data should have been addressed since they were not suitable to be used. Therefore only 200 questionnaires were used. The obtained data was sampled by applying the purposive sampling method. The sample data was then calculated by simple linear regression analysis. The criteria for sampling data were the taxpayer who registered in Samsat Kudus and had tax arrears. The input variables in this study are tax religiosity, taxpayer knowledge, and service quality. Meanwhile, the output variable in this study is motor vehicle tax compliance. Three hypotheses were developed according to the used variables. These developed hypothesis stated that religiosity, Knowledge, and service quality positively affected motor vehicle taxpayer compliance. Following the obtained sampling data, the results showed that three parameters of religiosity, Knowledge, and quality service had a positive effect and were significant to the tax payment of the vehicle. The results were suitable to the developed hypotheses.
Community-forming traits play role in effective colonization of plant-growth-promoting bacteria and improved plant growth

Community-forming traits (CFts) play an important role in the effective colonization of plant-growth-promoting bacterial communities that influence host plants positively by modulating their adaptive functions. In this study, by considering plant-growth-promoting traits (PGPts) and community-forming traits (CFts), three communities were constructed, viz., SM1 (PGPts), SM2 (CFts), and SM3 (PGPts+CFts). Each category isolates were picked up on the basis of their catabolic diversity of different carbon sources. Results revealed a distinctive pattern in the colonization of the communities possessed with CF traits. It was observed that the community with CFts colonized inside the plant in groups or in large aggregations, whereas the community with only PGPts colonized as separate individual and small colonies inside the plant root and leaf. The effect of SM3 in the microcosm experiment was more significant than the uninoculated control by 22.12%, 27.19%, and 9.11% improvement in germination percentage, chlorophyll content, and plant biomass, respectively. The significant difference shown by the microbial community SM3 clearly demonstrates the integrated effect of CFts and PGPts on effective colonization vis-à-vis positive influence on the host plant. Further detailed characterization of the interaction will take this technology ahead in sustainable agriculture.
Cooking Up a Sustainable Future: insights of Circular Economy in the Restaurants

Restaurants increasingly prioritize promoting sustainability within their kitchen’s operations, focusing their offers on valuing raw materials as a central point of gastronomy, thus highlighting the importance of local, responsible consumption and respect for nature and the environment. The Circular Economy (CE) emerges as a new sustainability paradigm, uncovering valuable opportunities for organizations and customers, in harmony with the environment. This study aims to characterize good sustainable and circular practices in the restaurant sector, understanding how endogenous products can enhance food waste reduction. Through a qualitative methodology, nine semi-structured exploratory interviews were carried out with restaurant experts, to gain in-depth knowledge into sustainable and CE practices used in restaurants. By conducting a thematic analysis, three main themes emerged 'Positioning and Branding,' 'Circular Economy,' and 'Product and Food Waste'. 'Positioning and Branding' covers the evolution of an eco-conscious mindset in organizations, from the inception of sustainable thinking to the imperative for change. It emerges from the categories: ´Organization, actions, and partnerships’, ‘Challenges and success factors’, and ‘Awareness’. The theme 'Circular Economy,' presents circular practices within daily restaurant operations, their understanding of circular concepts, and the progress made in adopting these behaviors. It arises from three categories: ‘Circularity’, ‘Resource Management’ and ‘Transition’. The 'Product and Food Waste' theme addresses concerns related to product and food waste, including supplier selection, innovative gastronomic offerings, and food waste minimization strategies. It is based on the categories: ‘Suppliers and Raw Materials’, ‘Food Waste Minimization”, and ‘Gastronomic Offer’. The findings reveal a growing awareness of the need for sustainability and circular practices in the restaurant sector. Organizations are actively seeking ways to reduce food waste, optimize sourcing, best operating procedures and offer more sustainable menus representing significant progress toward a more sustainable future in the restaurant business.
Antioxidant and Anti-Melanogenesis Effects of Teucrium chamaedrys L. Cell Suspension Extract and Its Main Phenylethanoid Glycoside in B16-F10 Cells

Teucrium chamaedrys L. is a typical European–Mediterranean species of the genus Teucrium. Among the phenolic compounds belonging to phenylethanoid glycosides (PGs), teucrioside (TS) is only found in this species, and it was previously demonstrated to be produced by in vitro-elicited cell cultures at levels higher than those found in leaves. However, T. chamaedrys cell suspension extracts (Cell-Ex) and pure TS have not been investigated yet for any biological effects. In this study, we evaluated the antioxidant and anti-melanogenesis activity of both Cell-Ex and TS in B16-F10 mouse melanoma cells. The results showed that Cell-Ex inhibited the reactive oxygen species formation evoked in B16-F10 cells by tert-butyl hydroperoxide and 5 J/cm2 of UVA, as well as the melanin increase stimulated by α-MSH or 20 J/cm2 of UVA. In parallel, a TS concentration equivalent to that present in Cell-Ex recorded the same biological effect profile, suggesting the main contribution of TS to the antioxidant and anti-melanogenic properties of Cell-Ex. Both Cell-Ex and TS also modulated the melanogenesis pathway through their ability to inhibit the tyrosinase activity both in a cell-free system and in B16-F10 cells stimulated by α-MSH. These results support the potential cosmeceutical use of Cell-Ex for protection against photooxidative damage and hyperpigmentation.
Resonance energy transfer between rhodamine dyes in saponite thin films: a step towards novel photofunctional nanohybrids

Abstract Resonance energy transfer (RET) in hybrid polymer/inorganic/organic layers in saponite films, prepared using the ‘layer-by-layer’ (LBL) method, was studied. This method allows the fabrication of a multicomposite molecular assembly based on electrostatic and/or other intermolecular interactions between the interacting species. The LBL films were designed by sequential deposition including positively charged polycations ( poly(diallyldimethyl ammonium), PDDA) and negatively charged saponite dispersions with donor molecules (rhodamine 6G) and saponite dispersions with acceptor molecules (rhodamine 3B). In this sequence, the layer of saponite donor molecules was placed on an adjacent layer of saponite acceptor molecules, while the layers were separated by inserting a PDDA polycationic layer. The adsorption process was studied using absorption spectroscopy. The linear deposition regime was completed when ten layers had been deposited. The process of REF was studied by fluorescence spectroscopy. In this case the donor molecules - rhodamine 6G - play the role of lightharvesting antennae and transfer the energy to the next layer covered by energy acceptor, i.e. rhodamine 3B molecules. The insertion of polycation layers is rationalized by the adhesion of negatively charged underlying layers and the stabilization of multicomponent systems. The energy transfer efficiency was affected heavily by changing the distances between the adjacent layers.
Causality between allergic diseases and kidney diseases: a two-sample Mendelian randomization study

Background Evidence from observational studies and clinical trials suggests that the allergic diseases (ADs) are associated with kidney diseases (KDs). However, the causal association between them remains to be determined. We used bidirectional two-sample Mendelian randomization (MR) analysis to evaluate the potential causality between them. Methods Mendelian randomization (MR) was performed using publicly available genome-wide association study (GWAS) summary datasets. Inverse variance weighted (IVW), weighted median, MR-Egger regression, simple mode, and weighted mode methods are used to evaluate the causality between ADs and KDs. Sensitivity and heterogeneity analyses were used to ensure the stability of the results. Results The MR results indicated that genetic susceptibility to ADs was associated with a higher risk of CKD [odds ratio (OR) = 1.124, 95% CI = 1.020–1.239, p = 0.019] and unspecified kidney failure (OR = 1.170, 95% CI = 1.004–1.363, p = 0.045) but not with kidney stone, ureter stone or bladder stone (OR = 1.001, 95% CI = 1.000–1.002, p = 0.216), other renal or kidney problem (OR = 1.000, 95% CI = 1.000–1.001, p = 0.339), urinary tract or kidney infection (OR = 1.000, 95% CI = 0.999–1.001, p = 0.604), kidney volume (OR = 0.996, 95% CI = 0.960–1.033, p = 0.812) and cyst of kidney (OR = 0.914, 95% CI = 0.756–1.105, p = 0.354). No causal evidence of KDs on ADs was found in present study. Conclusion Results from MR analysis indicate a causal association between ADs and CKD and unspecified kidney failure. These findings partly suggest that early monitoring of CKD risk in patients with ADs is intentional.