Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural, Dielectric, and Thermal Properties of Pb Free Molybdate Based Ultralow Temperature Glass

A new glass with ultralow glass transition temperature based on 10Li2O–10Na2O–20K2O–60MoO3 (LNKM) has been developed by conventional glass melting and quenching process. The glass has ultralow glass transition and melting temperatures being 198 and 350 °C respectively. The glass exhibits a coefficient of thermal expansion of 17 ppm/°C in the temperature range of 25–300 °C. X-ray diffraction and Raman spectroscopic studies indicate that the glass is partially crystallized. The chemical and elemental composition of the glass is confirmed by X-ray photoelectron spectroscopy. The glass pellet heat treated at 300 °C has a relative permittivity of 5.07 and dielectric loss tangent of 0.006 at 1 MHz. At 9.97 GHz, it shows a relative permittivity of 4.85 and dielectric loss tangent of 0.0009. The temperature dependence of the relative permittivity at 1 MHz and 9.97 GHz of the glass is 307 ppm/°C (temperature range 20–100 °C) and 291 ppm/°C (temperature range 25–85 °C), respectively.
The model development of industrial brand loyalty: Assessing the rational and emotional aspects as antecedents of loyalty

Abstract The purpose of the study is to develop a brand loyalty model with perspectives from rational and emotional aspects. The research investigates the relevant antecedents of the brand loyalty model with the respondents from various industries in the chemical emulsion market. The research is a quantitative approach with SEM-PLS employed to run the data, whereas the data is conducted and collected from the field survey. The study demonstrates the robustness of the model with direct relationships between the constructs in the model. Moreover, it confirms that rational brand quality influences brand loyalty stronger than emotional brand associations; further perceived value has the weakest influence on satisfaction. Authors encourage replicated research with a broader range of product categories to validate the results. The ideal model should be able to be implemented with generalization. The research has an insight into the two-sided role of rational and emotional elements during the decision process and their role in satisfaction and brand loyalty; moreover, the proposed model also adds perceived value. With the investigation of the direct and indirect effects among the constructs of the model, this model is considered new in industrial branding; therefore, the paper fulfills the research gap and contributes novelty.
AMOURINS SHELLMOUND: UNCOVERING BIODIVERSITY AND CHRONOLOGY THROUGH CHARCOAL ANALYSES

ABSTRACT In paleoenvironmental research, several proxies are used to reconstruct climate and vegetation. The establishment of a chronological framework allows for the association of different proxies and correlation of events happening in different geographic areas. Cultural deposits, such as the shellmounds found along the coast of Brazil, play an important role in paleoenvironmental interpretations. Here, we have employed anthracological analysis in charcoal fragments from the Amourins shellmound, located at the margins of the Guanabara Bay, Rio de Janeiro. This allowed for the taxonomic identification and selection of short-lived trees and specific parts of plants for accurate radiocarbon dating. We recorded genera and families typical of the Atlantic Forest, restinga forest, open restinga and mangrove. The 14C ages of charred nuts from different occupational layers range from 3807 ± 35 to 3503 ± 70 BP and a sequential chronological model was built, relating the predominance of mangrove vegetation to the period between 4130–3960 cal BP.
Remote embedded devices test framework on the cloud

Embedded systems have high coupling and dependency among different hardware and software components in heterogeneous layers, which makes location and issue tracking in their testing difficult. Despite these poor verification conditions, even the most important reliability quality verification among embedded system characteristics is verified with insufficient sample size, typical test cases, and general test strategies, following limitations such as development costs and scheduling. As a result, shipments are highly likely to lead to various reliability quality problems because items have not been verified considering reliability quality characteristics. Hence, to address this gap, this study developed remote embedded device test framework on the cloud (RED‐TFC), which has an innovative reliability test manager component that can automatically perform various tests for the evaluation of reliability and performance of distributed shared devices by utilizing the cloud concept. RED‐TFC offers two key enhancements over existing testing services: (i) the adaptive sample scale for reliability test (ASRT), a feature that identifies the most appropriate sample size for performing functionality and reliability tests of remote verification targets connected to the RED‐TFC server; and (ii) the mass sample reliability test (MSRT), which uses a test case that is specific to reliability, with the sample size obtained by ASRT, to perform verification following the Markov prediction process. This paper analyses two Android smartphone models considered the most generic examples, including many embedded components, and presents a method of detecting a high number of reliability problems in smartphones using the proposed RED‐TFC and its implications.
Forgery localization in images based on joint statistics of image blocks with neighbouring blocks

Flawless image forensic analysis necessitates precise identiﬁcation of tampering regions in digital images along with the determination of state of an image (original or forged). Most of the efforts towards localization of forgeries involve localization of information-changing forgeries with less focus towards localization of information-preserving forgeries. This paper proposes a new information-preserving forgery localization method to localize 10 different tampering types exploiting the fact that joint statistics of locally forged regions and neighbouring original regions is disturbed. The proposed 18-dimensional detector is trained using ensemble classiﬁer for ﬁne-grain identiﬁcation of forged regions in post-JPEG compressed images and results are compared with two recent state-of-the-art detectors. The results demonstrate the effectiveness of the proposed detector with signiﬁcant performance gain over existing detectors, particularly for localization in images that are compressed with low quality factors of compression.
Entwicklung und Optimierung eines biotechnologischen Prozesses zur Herstellung mikrobieller Rhamnolipide auf Basis nachwachsender Rohstoffe

Im Fokus dieser Arbeit steht die Entwicklung und Optimierung eines biotechnologischen Prozesses zur Herstellung von Rhamnolipiden auf Basis von nachwachsenden Rohstoffen. Ein Schwerpunkt lag hierbei auf der Entwicklung und Evaluierung einer Standardprozessfuhrung, sowie eines auf einem Parallelbioreaktor basierenden, effizienten Screening-Systems. Ein Produk­tions­stammvergleich wurde durchgefuhrt. Zur Produktanalyse sollte FTIR-Spektroskopie als alternative Analysemethode eingesetzt werden.
Role of Leadership Skills for Developing Digital Acumen in Information Technology Employees

With the plethora of changes happening in organizations adopting new digital technologies, managing human resources in information technology organizations had never been more challenging. Keeping in mind, a very few literature available on the role of HR in the new digital era, an attempt has been made in this study to explore the role of leadership skills for developing digital acumen in people working in information technology organizations. The study used sequential mixed methodology to explore the insights of subject matter experts, technology leaders and HR professionals to develop an instrument that explored necessary leadership skills for acquiring digital acumen in employees working in information technology companies. The first part of the study was based on exploring narratives of five subject matter experts. The inputs from these experts came out with broad themes and sub-themes that were used for developing the constructs, namely, acquiring digital acumen, adaptability, ambiguity tolerance, teamwork and collaboration and championing leadership. The part two of the study involved the use of the instrument for recording the opinion of 210 respondents working in software development positions in reputed information technology companies in the NCR of Delhi. The results showed that respondent perception on acquiring digital acumen was mediated by the factor championing leadership. Other intervening leadership variables such as adaptability, ambiguity tolerance and teamwork and collaboration exerted their influence on acquiring digital acumen by exercising ‘championing leadership’ abilities in the organization.
Research on False Data Injection Attack in Smart Grid

The concealed false data injection (FDI) attack in the smart grid can successfully pass the power system state estimation commonly used in the residual bad data test without being detected by the existing algorithms, resulting in the state estimation error of the control center and disturbing the normal operation of the power system. In this paper, false data injection attack and attack detection are carried out in the actual power edge security protection system, microgrid control system and intelligent energy security protection system. Among them, the false data attack part simulates the attack of the voltage phase angle, and compares it with the ordinary attack method, and demonstrates the success of these attacks in the actual power grid system.
The Appropriate Technology in Cultivating Mushrooms by Street Children In Hafara

The purpose of this study was to determine the application of appropriate technology in mushroom cultivation by street children in Hafara. This research method with a qualitative approach with phenomenological methods. Collecting data by observation, interviews, and documentation. Observations are carried out in a participatory, real, disguised, and unstructured manner to ensure that the object in this study is an informant in the location to be studied. Interviews were carried out by random sampling to obtain data and information that could be used in this study. Information can be obtained from the manager of the Hafara social institution, 2 caregivers / coaches and 4 street children who live in the Hafara social institution to obtain information on appropriate technology in mushroom cultivation by street children in Hafara. The appropriate technology in mushroom cultivation by street children in Hafara is very simple and uses easily obtained raw materials. Spraying leri water (washing rice) is carried out after the fungus appears, it will increase fertility so that the mushroom yield is more, so the money earned from the mushroom harvest is more. It is hoped that the recommendations for mushroom cultivation in Hafara can be widely marketed in collaboration with relevant agencies both nationally and internationally.
Performance Analysis of a Modified Conjugate Gradient Algorithm for Optimization Models

The Conjugate gradient (CG) algorithms is very important and widely used in solving optimization models. This is due to its simplicity as well as global convergence properties. Various line search procedures as usually employ in the analysis of the CG methods. Recently, many studies have been done aimed at improving the CG method. In this paper, an alternative formula for conjugate gradient coefficient has been proposed which possesses the global convergence properties under exact minimization condition. The result of the numerical computation has shown that this new coefficient performs better than the existing CG methods.
Mismatched diets: defining the nutritional landscape of grasshopper communities in a variable environment

Animal populations must be able to acquire an adequate amount of nutrients to persist regardless of what environment they are in. In highly variable environments, such as drylands where food sources are limited, this potential mismatch between physiological demands and what is available in the environment is accentuated. For herbivores, the balance of macronutrients (protein and carbohydrate) is particularly important and both nutrients are highly variable in plants both spatially and temporally. Whereas it is known that many herbivores will forage multiple plants to achieve an optimal nutritional ratio (termed the intake target), it is less k nown how herbivores with different life history strategies address this in variable environments. In this study, we measured the intake targets of three grasshopper species with differing life history strategies, two migratory and one non-migratory, at three locations in New South Wales, Australia. We measured nutrient variation in plants spatially and temporally by sampling three different locations and repeated the measurement twice for one of these locations. At all three locations and both times, host plant protein differed substantially but carbohydrate content remained constant. The non-migratory grasshopper species shifted their intake target, presumably to redress nutrient imbalances. On the other hand, the two migratory grasshopper species largely maintained the same intake target, even when in a nutritionally suboptimal environment. These results suggest that non-migratory species are likely more limited in their capacity to forage for optimal diets and may rely more on digestion to survive in nutritionally suboptimal locations. In contrast, migratory grasshoppers may migrate to obtain the nutrients they need instead of redressing imbalances locally. Therefore, a strong metapopulation structure may aid in the persistence of migratory species at larger spatial scales. Since herbivores, especially insects, are important from nutrient cycling to food chains, understanding how populations persist in nutritionally variable environments is important to the overall ecosystem functioning. Further research should consider how nutritional demands drive population dynamics and how it changes with life history
Effect of Neuromuscular Electrical Stimulation (NMES) on swallowing in Persons with Parkinson’s disease exhibiting Dysphagia: A Systematic Review

Swallowing is an essential activity required for survival. The global definition of dysphagia is simply difficulty in swallowing. Around 80% of individuals with Parkinson’s disease (PD) are diagnosed with dysphagia in any stage of their disease progression. Dysphagia therapy in these individuals has gained considerable importance in improving the quality of life in the recent past. With the advancement of technology related to dysphagia management, the use of Neuromuscular Electrical Stimulation (NMES) in dysphagia management is studied extensively, and the efficacy of it in successfully easing dysphagia symptoms in PD is still being evaluated. Hence this systematic review is aimed to give an overview regarding the current status of the literature available on the effect of NMES as a method of dysphagia rehabilitation on swallowing function in persons with PD. The present review will collate and critically analyse the existing knowledge of neuromuscular electrical stimulation in dysphagia management of persons with Parkinson’s disease. The authors did a systematic literature search following the PRISMA guidelines using electronic databases for studies reporting the use or effect of NMES on swallow function, aiding management of dysphagia in persons with PD. The quality and the levels of evidence of articles included were in accordance with the ABC rating scale by Siwek et al [20]. 3 out of 38 publications identified met the inclusion criteria. The authors carried out a systematic, qualitative and critical analysis of the articles finalised. The summary of the reviewed articles revealed the dearth of evidence and several methodological flaws as well as highlighted the prevailing research gap in this arena. This review additionally aids Speech-Language and Swallow Pathologists in clinical decision making and future directions concerning selecting Neuromuscular Electrical Stimulation (NMES) as a treatment option for managing dysphagia in persons with PD.
The impact of involved node radiotherapy on organs at risk on treatment of limited stage Hodgkin lymphoma

Radiotherapy is an important component of the combined modality treatment of limited stage Hodgkin lymphoma. Using such combination resulted in high cure rates exceeding 90%. Unfortunately, long-term survivors are at increased risk of critical long-term morbidities including second malignancy, lung, and cardiac toxicities. Radiation induced toxicity is related to dose and field size. The concept of involved node radiotherapy (INRT) is to minimize the irradiated volume to cover only the primarily involved nodes, while maintaining high local control rates.
In Situ Study of Degradation in P3HT–Titania-Based Solid-State Dye-Sensitized Solar Cells

The degradation of poly(3-hexylthiophene) (P3HT)–titania-based solid-state dye-sensitized solar cells (ssDSSCs) is studied to better understand device aging mechanisms. The correlation of temporal evolution between P3HT crystallite structures and device performance is discussed for the first time using in situ measurements. For comparison, two types of mesoporous titania photoanodes with different pore sizes are prepared. Grazing incidence wide-angle X-ray scattering is used in situ under continuous solar illumination to obtain information about the impact of pore size on P3HT crystalline order and on temporal evolution of the P3HT crystallites. The development of the photovoltaic characteristics is explored in parallel. The lattice constants, crystal sizes, and volume fraction of crystalline P3HT in the large-pore active layer remain stable over 30 min, while the volume fraction of crystalline P3HT decreases in the small-pore active layer. Thus, the pore size of titania photoanodes is important for the s.
A narrative review of running wearable measurement system accuracy and reliability: can we make running shoe prescription objective?

Abstract Running shoe prescription is based upon outdated paradigms, foremost the idea that correcting or preventing overpronation is desirable when attempting to prevent injury. Poor shoe prescription has the potential to affect an individual’s performance and may lead to injury and withdrawal from a potentially lifelong healthful pursuit. In this systematic narrative review, we consider the evidence (validity and reliability) for implementing two types of wearable device: instrumented ‘pressure sensing’ insoles and inertial measurement units (IMUs) to assess biomechanical data. The review summarizes existing data on the selection and placement, ability to capture kinetic and kinematic data effectively, and the limitations of both IMUs and pressure sensitive insoles for in-field measurement. We found that wearable devices have demonstrated an excellent level of reliability with some also showing good to excellent levels of validity to measure markers of potential interest in a future shoe prescription context. Further work is required to confirm which kinematic and/or kinetic measurements offer the greatest insight to individuals selecting their favoured shoe. Finally, we propose an objective alternative to the current shoe prescription rhetoric, based upon objective data collection using a wearable device.
Identifying subcenters with a nonparametric method and ubiquitous point-of-interest data: A case study of 284 Chinese cities

Urban spatial structure, which is primarily defined as the spatial distribution of employment and residences, has been of lasting interest to urban economists, geographers, and planners for good reason. This paper proposes a nonparametric method that combines the Jenks natural break method and the Moran’s I to identify a city’s polycentric structure using point-of-interest density. Specifically, a polycentric city consists of one main center and at least one subcenter. A qualified (sub)center should have a significantly higher density of human activity than its immediate surroundings (locally high) and a relatively higher density than all the other subareas in the city (globally high). Treating Chinese cities as the subject, we ultimately identified 70 cities with polycentric structures from 284 prefecture-level cities in China. In addition, regression analyses were conducted to reveal the predictors of polycentricity among the subjects. The regression results indicate that the total population, GDP, average wage, and urban land area of a city all significantly predict polycentricity. As a whole, this paper provides an alternative and transferrable method for identifying main centers and subcenters across cities and to reveal common predictors of polycentricity. The proposed method avoids some of the potential problems in the conventional approach, such as the arbitrariness of thres hold. setting and sensitivity to spatial scales. It can also be replicated rather conveniently, as its input data, such as point-of-interest data, are widely available to the public and the data’s validity can be efficiently checked by field trips or other traditional data sources, such as land-use maps or censuses.
Effects of Three Levels of Green Exercise, Physical and Social Environments, Personality Traits, Physical Activity, and Engagement with Nature on Emotions and Attention

The current study examined the effects of the three levels of green exercise on people’s psychological health using a randomized trial with a pretest and posttest design and further explored which variables of the physical environment (thermal comfort, noise, and air pollution), social environment (the number of companions and crowdedness), personality traits, physical activity (intensity and frequency), and engagement with nature may help explain experiences during the three levels of green exercise using a cross-sectional approach. Field studies were conducted to test the study’s hypotheses. The participants were 95 students from a technology university in Taiwan. The experiment comprised a 15-min green exercise in a park. No significant differences were found in emotions and attention between the three levels of green exercise. However, a 15-min green exercise of any level significantly improved emotions and attention. Furthermore, fatigue was significantly and negatively associated with daily transportation-related physical activity, agreeableness, and engagement with nature. Moreover, the total mood disturbance was significantly and negatively associated with engagement with nature and daily transportation-related physical activity. The degree of engagement with nature played a pivotal role in green exercise. This study provided the evidence that quantified engagement with nature is beneficial for quantified psychological health for the first time.
Automated Valuation Services: A case study for Aberdeen in Scotland

ABSTRACT Automated valuation services (AVSs) offered by listings platforms predict market values based on property characteristics supplied by users. We investigate the implementation of such a service for the City of Aberdeen. We fit different market value models with machine learning methods and assess them in a rolling windows procedure that mimics an AVS setting. We also investigate the ease and robustness with which the models can be implemented. We discuss how prediction uncertainty can be measured and reported to users. If implemented in the future, such a service has the potential to improve the transparency of the local housing market.