Miracle-dz/UniFAR-FTUs huggingface dataset:
The Association between Family Care and Paid Work among Women in Germany: Does the Household Economic Context Matter?

Owing to the rapid ageing of societies, studying the labour market consequences of caring for ill, disabled or frail old-age partners, parents and/or other family members (hereafter: ‘family care’) is of urgent concern. Previous research has mainly concentrated on examining the impact of differing family care situations on women’s employment. Building on household decision-making approaches, this study focuses on the moderating role of the household economic situation in the family care–employment relationship among women. Cox shared frailty regression analyses of German Socio-Economic Panel data (SOEP, 2004–2017) indicate that the family care–employment relationship depends not simply on time committed to care but is also stratified by household economic situations: full-time employed, low-intensity caregivers down-scale to part-time hours only in more affluent households; full-time to non-employment transitions are more likely for married, high-intensity caregivers; part-time to non-employment transitions are more likely for high-intensity caregivers contributing marginally to the household income.
Poster: Automatic Identiﬁcation and Protection of Memory-resident Sensitive Data to Defend Against Data-Oriented Attacks

—Software and hardware-based countermeasures for protecting memory-resident data to prevent data-oriented attacks suffer from high performance overhead due to a large number of memory data objects and their pointers. In this ongoing work, we propose a framework utilizing rule-based heuristics to identify sensitive memory data and pointers automatically from an application and protect those sensitive data and pointers utilizing existing countermeasures. Our evaluation suggests that an application contains as low as 3% sensitive data and needs to protect less than 30% of its total data and pointers, on average. Besides, our preliminary result shows that this prioritized protection reduces the performance overhead of existing countermeasures by 50%.
Localization Algorithms for Wireless Sensor Networks Based on Feasibility of Anchor Nodes Disposing

Wireless sensor networks is asked to provide the position information of the nodes in practical application.There are lots of complications about the selection of the nodes localization algorithms,one of them is the degree of the anchor nodes disposing conduced by the complexity of the surrounding and the cost limit.A new way to classify wireless sensor networks based on feasibility of anchor nodes disposing is put forward.A representative nodes localization arithmetic of the networks that anchor nodes are disposed dispersively in all of it,the one that anchor nodes can only be disposed in the edge of it and the one in which anchor node can't be disposed,is summarized,and expatiate,and then the localization algorithms fit for the three kinds of networks are compared and estimated.
Underground Digital Economy in Thailand

Globalization is making our world smaller and leading to new technologies that make human life comfortable. Unfortunately, along with the bright side of economic progress through improved communications, the dark side of the underground economy has also advanced during this digital age. The study is based on an analysis of about 1200 samples of online data collected in Thailand. It is found that the significant of age (X1), education (X2), income (X3), residence (X4), place (X5), a device used (X6), and patterns of internet use (X7). There was a statistically significant relationship between the Thai youth and the underground economy involvement. Thailand’s government does not allow its youth to enter an Internet cafe prior to 3 pm and after 10 pm on weekdays, educates the public about the rules involved, and strictly enforces them. Parents provide the necessary computer devices in the common rooms of their houses which are easily visible and observe the children’s behavior while using the Internet. To encourage children to use their free time by learning, playing sports or music and change their social values is not a part-time issue for a poor family; it takes a lot of time.
Application of Wavelet Packet Analysis in Fault Diagnosis of Spent Nuclear Fuel Shears

Aiming at the voice signal feature extraction problem of spent nuclear fuel shears,the wavelet packet analysis method was proposed. The wavelet packet transform was used to the cutting sound signal of the different status tool,extracting the normalized energy eigenvector of each frequency band signal,the energy eigenvector can distinguish different status cutting sound signal,and then diagnose the fault of spent nuclear fuel shears. Experimental results show that it can effectively distinguish three conditions of the shears: the level of normal,the first or the second wear and tear,which effectively solved the feature extraction problem based on the Hidden Markov Model in shearing machine fault pattern rec-ognition.
Bone marrow mesenchymal stem cells attenuate LPS-induced acute lung injury in mice by promoting RvE1/ProD1 and modulating Treg/Th17 balance

Acute lung injury (ALI) and its severe form acute respiratory distress syndrome (ARDS) are respiratory failures caused by excessive alveolar inflammation with high mortality. In this study, we investigated the effects of bone marrow mesenchymal stem cells (BMSCs) on lung injury of lipopolysaccharide (LPS)-induced ALI and explored the associated mechanisms. BMSCs were isolated, cultured, identified by staining with CD34 and CD44 surface markers. LPS-induced ALI mouse model was generated by injecting with LPS and divided into ALI group and ALI+BMSCs group. Mice treated without any reagents were assigned as Control, mice transplanted with BMSCs were assigned as BMSCs group. Regulatory T (Treg) and Th17 percentages were evaluated using flow cytometry. Proresolving mediators (resolvin E1 (RvE1), protectin D1 (ProD1)) in lung tissue and cytokines (interleukin-6 (IL-6) and IL-17) in serum were analyzed by ELISA. Myeloperoxidase (MPO) activity was determined. Cultured cells demonstrated typical characteristics of BMSCs. BMSCs transplantation (ALI+BMSCs) obviously alleviated LPS-induced ALI in mice. BMSCs transplantation significantly decreased MPO activity in LPS-induced ALI in mice compared to the Control group (p < 0.05). BMSCs transplantation markedly increased Treg percentages and decreased dendritic cells (DCs) and Th17 cells percentages compared to those of the Control group (p < 0.05). BMSCs transplantation remarkably enhanced RvE1 and ProD1 levels in LPS-induced ALI (ALI+BMSCs) compared to the ALI group (p < 0.05). BMSCs transplantation significantly attenuated IL-6 and IL-17 levels in serum of mice treated with LPS (ALI+BMSCs) compared to those of the ALI group (p < 0.05). In conclusion, BMSCs transplantation effectively attenuated LPS-induced pathological injury of ALI in mice, at least partly through promoting proresolving mediators RvE1 and ProD1 and modulating the balance of Treg/Th17.
Towards a Bayesian Network methodology to improve maintenance of complex semiconductor systems

The evolution of microelectronics is characterized by an intense competitive environment between manufacturers; so, the semiconductor product must be done with reduced cycle time, improved yield and enhanced equipment effectiveness. In this paper, a general methodology to improve maintenance of complex systems is proposed, the objective is to develop equipment behavior model. A literature review about maintenance and risk analysis methods is presented. Then, giving the system characteristics the study is oriented towards Bayesian Networks methods. The increasing use of these techniques is due to the benefits that provide. Following the proposed methodology, prototypes of data extraction and processing are designed. They allow identify the real Failure Modes which will instantiate the first Bayesian models.
Globalization, Energy Use and Environmental Degradation in Thailand

Globalization is a crucial determinant of energy consumption, so this study analyzes the effect of energy consumption in the presence of globalization on environmental degradation in Thailand. Furthermore, this study uses the EKC hypothesis. It estimates the effect of energy use, globalization, and economic growth with the dynamics of rising or falling influence in global economic degradation and Validation of the EKC hypothesis in Thailand. For this purpose, use time-series data from 1970 to 2018. First of all, check the order of integrating the variables by the Augmented Dickey-Fuller and Phillips Perron test. Results indicate that there exists a unit root at the level. Hence move the DOLS and ARDL econometrics model to analyze the impact of globalization, energy use and economic growth on environmental degradation. Results confirm the validity of the EKC hypothesis in Thailand due to positive and negative association among the GDP and Square of GDP, which also confirms that the U-shaped relationship exists there. Thus, globalization condenses environmental degradation while energy consumption boosts the level of carbon emission in Thailand. Therefore, the study suggested that their needs improvement in energy policies reduce the use of conventional energy resources and move towards modern energy like nonrenewable energy, which reduces the pollution in the country and boosts the economic development level.
Reduction in Ferritin Concentrations among Patients Consuming a Dark-Green Leafy Vegetable–Rich, Low Inflammatory Foods Everyday (LIFE) Diet

ABSTRACT Background Ferritin is an iron-containing protein and acute-phase reactant, which may be elevated due to systemic iron overload or inflammation. Various diseases are associated with excess iron, but therapeutic iron chelation is suboptimal. Prior studies suggest that several plant phytochemicals possess iron-chelating properties, indicating that a plant-based diet may benefit patients with iron overload. Objectives The aim was to investigate whether patients who consume a nutrient-dense, dark-green leafy vegetable–rich diet, called the Low Inflammatory Foods Everyday (LIFE) diet, experience reductions in ferritin concentrations. Methods This was a retrospective study in which patients were intensively counseled to follow the LIFE diet. Compliance was assessed by patient interviews and serum B-carotene measurements. Primary outcomes included changes in ferritin, B-carotene, and C-reactive protein (CRP). Patients with elevated CRP concentrations at baseline were excluded in order to separate the impact of inflammation from iron overload on ferritin concentrations. Premenopausal women, who lose iron from menstruation, were also excluded. Results Thirty-two patients met the inclusion criteria. The median follow-up was 183 d. Following the dietary intervention, ferritin decreased (−81 μg/L, P = 0.006) and B-carotene increased (46 μg/L, P < 0.0001), whereas CRP remained unchanged (−0.02 mg/L, P = 0.86). Adherent patients had greater reductions in ferritin compared with nonadherent patients (−138 μg/L vs. 15 μg/L, P = 0.001). Among all patients, there was an inverse relation between B-carotene and ferritin (−2.02, P = 0.03). Conclusions The LIFE diet, or similar dark-green leafy vegetable–rich, whole-food plant-based diets, may benefit patients with disorders of iron overload and iron-induced oxidative stress.
Metal–Organic Cages: Applications in Organic Reactions

Supramolecular metal–organic cages, a class of molecular containers formed via coordination-driven self-assembly, have attracted sustained attention for their applications in catalysis, due to their structural aesthetics and unique properties. Their inherent confined cavity is considered to be analogous to the binding pocket of enzymes, and the facile tunability of building blocks offers a diverse platform for enzyme mimics to promote organic reactions. This minireview covers the recent progress of supramolecular metal–organic coordination cages for boosting organic reactions as reaction vessels or catalysts. The developments in the utilizations of the metal–organic cages for accelerating the organic reactions, improving the selectivity of the reactions are summarized. In addition, recent developments and successes in tandem or cascade reactions promoted by supramolecular metal–organic cages are discussed.
Experimental Investigation of Temperature and Contact Pressure Influence on HFI Welded Joint Properties

This paper presents an experimental electro-thermo-mechanical simulation of high-frequency induction (HFI) welding to investigate the effect of temperature and contact normal stress on the weld seam quality. Therefore welding experiments at different temperatures and contact pressures are performed using flat specimens of 34MnB5 steel sheet. In order to characterize the weld seam strength of the welded specimens, tensile and bending tests are performed. To obtain a relative weld seam strength, the bending specimens were additionally hardened prior to testing. With the hardened specimens, it can be shown that the weld seam strength increases with increasing temperature and contact normal stress until a kind of plateau is formed where the weld seam strength remains almost constant. In addition to mechanical testing, the influence of the investigated process parameters on the weld seam microstructure is studied metallographically using light optical microscopy, scanning electron microscopy, EBSD and hardness measurements. It is shown that the weld seam strength is related to the amount of oxides in the bonding line.
Multifaceted Frequency-Selective Split Ring Resonators (SRR)

This paper presents the results of a study for the design of frequency-selective split ring resonator metamaterial structures with multifaceted resonator disk. The conventional and four new SRR unit cells present that having the same design parameters except that the resonator disks are differently in fracture pointes. Four, six, eight, ten and sixteen-sided resonator faces and the multilayer forms are proposed. Simulation results show that additional fractures lead to the decrease of resonance frequency by amounts due to the series capacitance effect.
The Potential of Phaeodactylum as a Natural Source of Antioxidants for Fish Oil Stabilization

Worldwide, fish oil is an important and rich source of the health-beneficial omega-3 long-chain polyunsaturated fatty acids (n-3 LC-PUFA). It is, however, troubled by its high susceptibility towards lipid oxidation. This can be prevented by the addition of (preferably natural) antioxidants. The current research investigates the potential of Phaeodactylum carotenoids in this regard. The oxidative stability of fish oil and fish oil with Phaeodactylum addition is evaluated by analyzing both primary (PV) and secondary (volatiles) oxidation products in an accelerated storage experiment (37 °C). A first experimental set-up shows that the addition of 2.5% (w/w) Phaeodactylum biomass is not capable of inhibiting oxidation. Although carotenoids from the Phaeodactylum biomass are measured in the fish oil phase, their presence does not suffice. In a second, more elucidating experimental set-up, fish oil is mixed in different proportions with a Phaeodactylum total lipid extract, and oxidative stability is again evaluated. It was shown that the amount of carotenoids relative to the n-3 LC-PUFA content determined oxidative stability. Systems with a fucoxanthin/n-3 LC-PUFA ratio ≥ 0.101 shows extreme oxidative stability, while systems with a fucoxanthin/n-3 LC-PUFA ratio ≤ 0.0078 are extremely oxidatively unstable. This explains why the Phaeodactylum biomass addition did not induce oxidative stability.
Optimizing the Effectiveness of “Internet +” Contest to Deepen the Reform Path of Innovation and Entrepreneurship Education in Colleges and Universities

In the Internet environment, college innovation and entrepreneurship will face more opportunities and challenges. “Internet +” simply means “Internet + traditional industries. ” With the development of science and technology, the use of information and Internet platforms enables the integration of the Internet and traditional industries and uses the advantages and characteristics of the Internet to create new development opportunities. University learners are one of the most important contact groups on the Internet. They are generally familiar with the Internet and are good at using Internet channels and Internet thinking to solve problems. Therefore, they are able to grasp opportunities and achieve breakthroughs. Innovation and entrepreneurship education is aimed at cultivating talents with basic entrepreneurial qualities and pioneering personality, and it is an education to cultivate innovative thinking and entrepreneurial ability for the whole society in stages and at different levels. How to effectively use the dividends of Internet entrepreneurship to realize their own transformation and growth is a topic worth studying. Therefore, this paper takes the life cycle of “Internet +” college students’ innovation and entrepreneurship competition as an example, summarizes the achievements and problems of a university in holding the competition, and puts forward countermeasures and suggestions for optimizing and organizing the competition on this basis. Experiments show that the quality of the competition itself, the relevant rules of the competition, the impact of the external environment, and home-school cooperation will have a greater impact on students’ innovation and entrepreneurship performance.
Latecomers’ Isomorphic R&D Strategy and the Relationship With Performance: A Study on Chinese Pharmaceutical Firms

Institutional environment plays a key role in shaping latecomers’ strategic choices. Conforming with the institutional environment is believed to alleviate uncertainties and resource deficiency for latecomers. However, does being isomorphic with institutional environment help latecomers in R&D activities that aims at making differences? The purpose of this study is to comprehensively explore how the interplay of institutional and competitive pressures from institutional environment manifests in latecomers’ R&D practices. Based on multiple case studies of four pharmaceutical firms in China, the occurrence of isomorphic R&D strategy and its relationship with performance have been uncovered in this paper. The subjective initiative and efficiency predictability of isomorphic R&D strategies are characterized through investigating its differences with general isomorphic behaviors. With these findings, this study provides a strategic approach to study institutional isomorphism, draws the attention on the dynamic interaction between institutional context and R&D strategies and adds to the literature on latecomer firms’ R&D strategies.
Selection of Detergents Suitable for IBMR3 (Mab) using Balb/c Mouse Muscle

Monoclonal antibodies (Mab) and their fragments have been widely used for diagnostic and therapeutic purposes. Monoclonal antibodies IBMR3 hybridoma cells were produced in a previous study. In my study I used four types of detergents to fine the more suitable as the best Lysis buffer for monoclonal anti bodies using Balb/ c mouse tissue muscle. The four detergents includes; NP- 40, Igepal, Chaps and Triton X-100. Detergents were used in the laboratory to solubilize biological macromolecules such as proteins. These are none denaturing solvents; they also increase emulsification and solubilization, act as solubilize membrane proteins in their native state. The mouse samples were lysed in different lysis buffer detergents, the extracting protein where subjected on the SDS-PAGE electrophoresis, the separated protein bands were transferred to PVDF/ Polyvinylidene difluoride membrane for Immunoblotting technique. The immunblot were subsequently subjected to densitometry analysis to get the value of molecular weight, peak height and raw volume of the protein band. The results of muscle protein concentration of Blab/c mouse after using standard methods were shown (NP-40, 3.214 μg / μl), (Igepal, 3.647 μg / μl), (CHAPS, 3.925 μg / μl and Triton X-100, 4.214 μg / μl). The highest concentration of the muscle protein was obtained from using Triton X-100, followed by CHAPS, then by Igepal and in NP- 40.
A Comparison of Science Vocabulary Acquisition Using Keyword Mnemonics via Technology and Flash Cards

There is a growing recognition of the importance of effective instruction in the STEM subjects, including science. The movement towards increased requirements and expectations in science presents a challenge to both students and teachers as many students with Learning Disabilities (LD) often struggle, particularly in their science classes. The purpose of this study was to investigate the use of a technology intervention targeting the acquisition of science vocabulary for adolescents with LD in a general education secondary biology classroom. Additionally, a purpose was to examine the usability and feasibility of a tech-based science vocabulary intervention for secondary science teachers. Participants for this study included three secondary students with LD who were enrolled in a biology class. A multiple treatment reversal design was used to compare the effects of a keyword mnemonic vocabulary intervention via index cards or iPod touch on student vocabulary acquisition. All students acquired the content vocabulary equally well during both conditions. It was clear that the students had a strong interest in using technology to increase their grades and engagement; however, the teachers had little access and training on using technology to support their students with disabilities.
Short-Term Periodicity of Prosodic Phrasing: Corpus-based Evidence

Speech is perceived as a sequence of meaningful units of various lengths, from phones to phrases. Prosody is one of the means by which these are segmented: Prosodic boundaries sub-divide utterances into prosodic phrases. In this corpus study, we study prosodic boundaries from a neurolinguistic perspective. To be perceived correctly, prosodic phrases must obey neurobiological constraints. In particular, electrophysiological processing has been argued to operate periodically, with one electrophysiological processing cycle being devoted to the processing of exactly one prosodic phrase. We thus hypothesized that prosodic phrases as such should show periodicity. We assess the DIRNDL corpus of German radio news, which has been annotated for intonational and intermediate phrases. We ﬁnd that sequences of 2–5 intermediate phrases are periodic at 0.8–1.6 Hertz within their superordinate intonation phrase. Across utterances, the duration of intermediate phrases alternates with the duration of superordinate intonation phrases, indicating a dependence of prosodic time scales. While the determinants of periodicity are unknown, the results are compatible with an asso-ciation between periodic electrophysiological processing mechanisms and the rhythm of prosody. This contributes to closing the gap between the the neurobiology of language and linguistic description.