Miracle-dz/UniFAR-FTUs huggingface dataset:
Acceptance of E-Mental Health Services for Different Application Purposes Among Psychotherapists in Clinical Training in Germany and Switzerland: Secondary Analysis of a Cross-Sectional Survey

Background Despite solid evidence supporting the efficacy of electronic mental health (EMH) services, their acceptance among psychotherapists is limited and uptake rates remain low. However, the acceptance of different EMH services has yet barely been examined in future generations of psychotherapists in a differentiated manner. The aims of this study were (1) to elaborate the intention to use various EMH services for different application purposes and (2) to determine predictors of EMH service acceptance among psychotherapists in clinical training (PiT). Materials and Methods Our paper is based on a secondary data analysis of a cross-sectional survey. Respondents were recruited via recognized educational institutions for psychotherapy within Germany and the German-speaking part of Switzerland between June and July of 2020. The survey contained items on the intention to use different EMH services (i.e., guided and unguided programs, virtual reality, psychotherapy by telephone and videoconference) for various application purposes (i.e., prevention, treatment addition, treatment substitute, aftercare). Potential predictors of EMH service acceptance (e.g., barriers and advantages) were examined based on an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT). Results Most of the n = 216 respondents were female (88.4%) and located in Germany (72.2%). General acceptance of EMH was moderate (M = 3.4, SD = 1.12, range 1–5), while acceptance of psychotherapy via videoconference was highest (M = 3.7, SD = 1.15) and acceptance of unguided programs was lowest (M = 2.55, SD = 1.14). There was an interaction effect of EMH service and application purpose (η2 = 0.21). Barriers and advantages both had a uniform influence on EMH service acceptance (Pr > 0.999), while impersonality, legal concerns, concerns about therapeutic alliance, simplified information provision, simplified contact maintenance, time flexibility, and geographic flexibility were significant predictors (all p < 0.05). Results showed that the extended UTAUT model was the best fitting model to predict EMH service acceptance (Pr > 0.999). Conclusions The intention to use different EMH services varied between application purposes among PiT. To increase acceptance of EMH services and reduce misconceptions, we identified predictors that should be addressed in future acceptance-facilitating interventions when educating PiT.
Heat Stress: Effects on Rumen Microbes and Host Physiology, and Strategies to Alleviate the Negative Impacts on Lactating Dairy Cows

Heat stress (HS) in dairy cows causes considerable losses in the dairy industry worldwide due to reduced animal performance, increased cases of metabolic disorders, altered rumen microbiome, and other health problems. Cows subjected to HS showed decreased ruminal pH and acetate concentration and an increased concentration of ruminal lactate. Heat-stressed cows have an increased abundance of lactate-producing bacteria such as Streptococcus and unclassified Enterobacteriaceae, and soluble carbohydrate utilizers such as Ruminobacter, Treponema, and unclassified Bacteroidaceae. Cellulolytic bacteria, especially Fibrobacteres, increase during HS due to a high heat resistance. Actinobacteria and Acetobacter, both acetate-producing bacteria, decreased under HS conditions. Rumen fermentation functions, blood parameters, and metabolites are also affected by the physiological responses of the animal during HS. Isoleucine, methionine, myo-inositol, lactate, tryptophan, tyrosine, 1,5-anhydro-D-sorbitol, 3-phenylpropionic acid, urea, and valine decreased under these conditions. These responses affect feed consumption and production efficiency in milk yield, growth rate, and reproduction. At the cellular level, activation of heat shock transcription factor (HSF) (located throughout the nucleus and the cytoplasm) and increased expression of heat shock proteins (HSPs) are the usual responses to cope with homeostasis. HSP70 is the most abundant HSP family responsible for the environmental stress response, while HSF1 is essential for increasing cell temperature. The expression of bovine lymphocyte antigen and histocompatibility complex class II (DRB3) is downregulated during HS, while HSP90 beta I and HSP70 1A are upregulated. HS increases the expression of the cytosolic arginine sensor for mTORC1 subunits 1 and 2, phosphorylation of mammalian target of rapamycin and decreases the phosphorylation of Janus kinase-2 (a signal transducer and activator of transcription factor-5). These changes in physiology, metabolism, and microbiomes in heat-stressed dairy cows require urgent alleviation strategies. Establishing control measures to combat HS can be facilitated by elucidating mechanisms, including proper HS assessment, access to cooling facilities, special feeding and care, efficient water systems, and supplementation with vitamins, minerals, plant extracts, and probiotics. Understanding the relationship between HS and the rumen microbiome could contribute to the development of manipulation strategies to alleviate the influence of HS. This review comprehensively elaborates on the impact of HS in dairy cows and introduces different alleviation strategies to minimize HS.
Editorial: Advances on the Biological Mechanisms Involved in Adventitious Root Formation: From Signaling to Morphogenesis

MED – Mediterranean Institute for Agriculture, Environment and Development, Institute for Advanced Studies and Research, University of Évora, Évora, Portugal, MED – Mediterranean Institute for Agriculture, Environment and Development, Department of Plant Science, School of Science and Technology, University of Évora, Évora, Portugal, Umeå Plant Sciences Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden, 4 INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Université Paris-Saclay, Versailles, France, Complex Carbohydrate Research Center, University of Georgia Athens, Athens, GA, United States, 6 Erfurt Research Centre for Horticultural Crops, University of Applied Sciences Erfurt, Erfurt, Germany
Efficacy of Immune Checkpoint Inhibitors in Patients With EGFR Mutated NSCLC and Potential Risk Factors Associated With Prognosis: A Single Institution Experience

Background The role of immune checkpoint inhibitors (ICIs) in NSCLC patients with EGFR mutations are controversial. In this study, we aim to investigate the therapeutic efficacy of ICIs alone or in combination in patients with EGFR mutated NSCLC in late-line settings, and explore the factors that may predict the efficacy of ICIs. Patients and Methods We retrospectively collected the clinical and pathological information of 75 patients with confirmed EGFR mutations. All patients have developed acquired resistance to EGFR-TKIs, and were treated with ICIs in late line settings from January 2019 to January 2021, at Shandong Caner Hospital and Institute. Therapeutic efficacy was evaluated by tumor response and survival. Results The median follow-up period was 7.3months (range 1.8-31.8 months). The overall response rate (ORR) was 8.0%, and the disease control rate (DCR) was 78.7%. The median PFS for all patients was 3.9 months (95% CI, 2.7-5.0), while the median OS was 9.9 months (95% CI, 5.3-14.6). We found that patients with longer response duration to EGFR-TKIs (≥10 months) showed a longer PFS when treated with immunotherapy compared with patients with shorter PFS-TKI (<10 months), the median PFS in two groups were 5.2 months [95%CI 4.2-6.2] and 2.8 months [2.0-3.6]) respectively (HR, 0.53, 95%CI, 0.31-0.91, P=0.005). In exploratory analysis, we found that concurrent extracranial radiotherapy and higher body mass index (BMI) are associated with longer PFS (P values are 0.006 and 0.021 respectively). Conclusions We found that combination regimen of immunotherapy plus chemotherapy plus antiangiogenetic agents may yield longer survival in patients with EGFR mutated NSCLC. We also found that patients with longer PFS-TKI, concurrent extracranial radiotherapy and higher BMI may benefit more from immunotherapy.
Observation of the Effect of Singulair Combined With Ketotifen in the Treatment of Acute Exacerbation of Chronic Obstructive Pulmonary Disease With Airway Hyperresponsiveness and Its Influence on Th17/Treg

Objective To investigate the effect of montelukast sodium (singulair) combined with ketotifen fumarate on the acute exacerbation of chronic obstructive pulmonary disease (AECOPD) with airway hyperresponsiveness (AHR) and its effect on helper T cells 17 (Th17)/regulator T cells (Treg). Methods 168 patients with AECOPD and AHR diagnosed in our hospital from February 2018 to December 2019 were selected, and divided into the observation group (n = 84) and the control group (n = 84). Both groups were given anti infection, bronchodilator, glucocorticoid, phosphodiesterase inhibitor, cough and expectorant. The observation group was additionally treated with singulair tablets and ketotifen tablets for 14 days. The curative effect were observed after treatment. The first second forced expiratory volume (FEV1), forced vital capacity (FVC) and FEV1 as percentage of predicted value (FEV1% pred), blood oxygen pressure (PaO2) and blood carbon dioxide pressure (PaCO2), high-sensitivity C-reactive protein (hs-CRP) and procalcitonin (PCT), Th17 and Treg levels were measured in both groups before and after treatment. Results Compared with the control group, the total effective rate after treatment in the observation group was increased (94.05 vs. 75.00%, P < 0.05). Compared with before treatment, the FEV1, FVC and FEV1%pred levels of the two groups of patients after treatment were increased (P < 0.05). Compared with the control group, the FEV1, FVC and FEV1%pred levels of the observation group were increased after treatment (P < 0.05). Compared with before treatment, the PaCO2, hs-CRP and PCT levels of the two groups of patients were reduced after treatment, and PaO2 levels were increased (P < 0.05). Compared with the control group, the PaCO2, hs-CRP and PCT levels in the observation group were reduced after treatment, and the PaO2 level was increased (P < 0.05). Compared with before treatment, Th17 and Th17/Treg levels of the two groups of patients were reduced after treatment, and Treg levels were increased (P < 0.05). Compared with the control group, the Th17 and Th17/Treg levels of the observation group were reduced after treatment, and the Treg levels was increased (P < 0.05). Conclusion Singulair combined with ketotifen in the treatment of patients with AECOPD combined with AHR can significantly improve the efficacy, improve lung function, reduce inflammatory response, and improve the balance of Th17/Treg, effectively controlling the disease.
Remodeling Effects of the Combination of GGT Scaffolds, Percutaneous Electrical Stimulation, and Acupuncture on Large Bone Defects in Rats

The regeneration defect of bone is a long-term physiological process after bone injuries. To accelerate the bone remodeling process, the combination of chemical and physical stimulations provides an efficient strategy to allow maturation and to functionalize osteoclasts and osteoblasts. This study aims to investigate the dual effects of a tricalcium phosphate (TCP)-based gelatin scaffold (GGT) in combination with electroacupuncture stimulation on the activation of osteoclasts and osteoblasts, as well as new bone regrowth in vitro and in vivo. We demonstrated that electrical stimulation changes the pH of a culture medium and activates osteoblasts and osteoclasts in an in vitro co-culture system. Furthermore, we showed that electroacupuncture stimulation can enhance osteogenesis and new bone regrowth in vivo and can upregulate the mechanism among parathyroid hormone intact (PTH-i), calcium, osteoclasts, and osteoblasts in the bone-defected rats. Those results showed the potential interest to combine the electroacupuncture technique with GGT scaffolds to improve bone remodeling after injury.
A High-Efficiency and Reconfigurable Rectenna Array for Dynamic Output DC Power Control

In this paper, an output power reconfigurable rectenna array is proposed for the first time to harvest RF energy. The proposed rectenna array can be used to capture abundant RF energy with high conversion efficiency in a wide range of input power levels and load impedance at 1.88, 2.35, 3.5, and 4.9 GHz simultaneously. The output DC power of the proposed rectenna array can be changed exponentially by altering the on-off state of the switches located between the antenna and the rectifier. The measured result shows that the output power is linearly related to the number of opened switches. Therefore, the proposed rectenna array can be flexibly applied to battery-free or low-power-requiring devices according to their different power needs.
NOTES, COMMENTARIES AND REPORTS

This commentary discusses the current tourism conditions in Western Balkans (WB) and stresses the need for innovation and action-research to foster greener, more resilient and regional tourism in WB. “We will live in a ‘new-normal’ tourism world – and it is our task to understand and explain it right now,” state Zenker and Kock (2020, p. 3) in their call for a new tourism research agenda. They have sketched six paths that constitute a starting point for a research agenda (beyond crisis-induced research areas) which are: the levels of tourism complexity; a change in destination image; a change in tourism behaviour; a change in resident behaviour; a change in the tourist industry; and longer-term and indirect effects, for example regarding sustainability. The authors call for analytical and deep research for developing new theories. Zenker and
An approach to assessing the possibility of diversifying the regional economy taking into account innovation activity

An approach to assessing the possibility of diversifying the regional economy is presented on the basis of the author's methodology for formation of recommendations for development of regions and sectors. The approach is based on regression analysis using an extended economic basis, including the characteristics of regional differentiation and innovative activity. On this basis, sectors can be identified, the development of which depends on the innovative activity of the regions. The estimates obtained make it possible to judge the influence of the characteristics of regional differentiation and innovative activity on development of such sectors. It is shown that innovative activity can contribute to diversification, if the region has a relatively high level of economic development. As a result of approbation of the offered approach, 20 sectors were identified, the production volume of which depends on the innovative activity of the regions aimed at creating international patent applications. It is shown that for each sector, the development of which depends on innovative activity, regions can be identified, where the growth of innovative activity can be accompanied by an increase in the volume of production of this sector and its appearance as a strong one. For the CONSTRUCTION sector, considered as an example, 17 regions have been identified that are priority for development of this sector and its transformation into a strong one.
Discontinuities in Microstrip

This chapter considers discontinuity modeling based mostly on equivalent capacitor and inductor networks. Some discontinuities, however, especially an open? circuited line, can also incorporate a short length of line. All practical distributed circuits must inherently contain discontinuities. The chapter shows the calculation of the reactive effects due to most discontinuities. Several forms of discontinuity emerge from circuit requirements such as, foreshortened open circuits, series coupling gaps, short circuits through to the ground plane, right? angled corners or bends, step width changes, transverse slit, T junction and cross junctions. Discontinuities result in changes in current flow on the strip and ground plane of microstrip and force changes in the balance of the electric and magnetic fields. This can result in additional energy storage in the electric field and if this is the case the effect of the discontinuity is accounted for by a capacitance in the lumped? element model of the discontinuity.
ASON Control Link Bandwidth Requirements Analysis

It is important to know the control link bandwidth requirements because the control messages should be reliably transported and at the same time the capital expenditure must be saved. The implementation methods of the control link and the composition of the control protocol traffic flow are analyzed. And we introduce a practicable software simulation-based ASON network framework and node structure. Then based on this simulation platform simulations of the control link bandwidth requirements in ASON under different conditions is realized. Relationship between the control link traffic rate and the network traffic load of the ASON network is described. Relationship between the control link traffic rate and the quantity of the users in ASON network is described as well. The bandwidth requirements of the control link under different connection setup time limits are also analyzed. We also indicate that traffic blocking can significantly increase the control overhead. In the end the approximate equations to describe these relations are developed to help the real ASON network design.
Affective Representation of Early Relationships with Parents and Current Anxiety and Depression

Abstract Research on the role of early relationships with parents on youth’s anxiety and depression, especially in collectivist societies such as China, is limited. To fill this gap, we investigated the unique role of early relationship with mothers and fathers, respectively, in Chinese youth’s anxiety and depression outcomes. The participants were 347 Chinese college students from 20 provinces. They first separately rated the frequency of experiencing 13 emotions (e.g., anger) from recalling early relationships with their mothers and fathers, then completed the Zung Self-Rating Anxiety Scale and the Zung Self-Rating Depression Scale. Logistic regression was performed to determine the unique contribution of early relationships with mothers and fathers, respectively, to the participants’ clinical-level anxiety and depression. Based on the final model of our logistical regression, we found that an increase in negative affective representation of early relationship with the mother was associated with a higher likelihood of clinical level anxiety (OR = 3.58; 95% CI = 1.32–9.70), while an increase in positive affective representation of early relationship with the mother was associated with a lower likelihood of clinical-level depression (OR = 0.47; 95% CI = 0.25–0.87). Furthermore, an increase in negative affective representation of early relationship with the father was associated with a higher likelihood of clinical-level anxiety (OR = 3.36; 95% CI = 1.37-8.26) and depression (OR = 3.68; 95% CI = 1.59-8.52), above and beyond their affective representation of early relationship with the mother.
The Construction and Empirical Analysis of the Company’s Financial Early Warning Model Based on Data Mining Algorithms

With the rapid advancement of the informatization process, enterprise informatization management has received more and more attention. Facing the increasingly complex and changeable social and economic environment, the difficulty of enterprise risk management has gradually increased. How to establish an efficient risk management mechanism for early warning of corporate risks is the goal that companies seek. Traditional statistical analysis can no longer satisfy the processing of massive financial data. Therefore, how to find useful information for the financial risk early warning management of the enterprise from the large amount of financial data information generated by the business activities of the enterprise is a problem that enterprises urgently need to solve at present. The continuous improvement and innovation of data mining technology and the good performance of research and analysis of massive data have made the two closely linked. First, this study introduces the theories of financial risk early warning and data mining technology; second, it introduces the research process of financial risk early warning model and elaborates the three data mining techniques used in this study; then combined with the actual situation of listed companies in my country, it constructs financial risk early warning index system; and finally, 77 listed manufacturing companies and their matching companies that were first processed by ST in 2005-2007 were used as research samples, based on the financial data of the 2.4 years before being processed by ST and CXISP. It is found that the financial risk early warning model established by data mining technology has strong early warning capabilities. From the perspective of the prediction capabilities of the three models, the closer the time to ST, the higher the accuracy of the prediction; from the perspective of short-term early warning, the three models have better prediction effects, but from the perspective of long-term early warning, the prediction effects of neural networks and decision trees are better than logistic regression of statistical analysis; data mining techniques based on knowledge discovery are not only suitable for short-term early warning but also for longer-term early warning. Therefore, data mining can be applied to financial risk early warning analysis to achieve the purpose of using data mining technology for decision support.
THE ECONOMIC ISSUES WITH IMPLEMENTING OPEN AVIONICS PLATFORMS FOR SPACECRAFT 1

Product platforms are a family of products based on a modular architecture that may include common parts, subsystems/systems, interfaces, and processes. Industries from automobiles to consumer electronics are using product platforms to provide a wide range of products, at lower costs and shorter development times. By planning and developing a series of products based on modular architectures, firms can reuse hardware, software, and manufacturing processes. The product platform process provides firms with a significant competitive advantage. The nature of spacecraft systems has traditionally created special technical, strategic, economic, and organizational challenges for implementing product platform concepts. The low volume, extreme operating environments, long development cycles, and the nature of government space programs make it difficult for the space industry to benefit from the characteristics of product platforms. However, with recent technology improvements and the increased competition in the space industry, several commercial and government aerospace organizations (both national and international) are implementing spacecraft platforms with significant economic, technical, and strategic benefits. This paper reviews some the economic issues and benefits with these different spacecraft applications.