Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated Sentinel‐1 InSAR and GNSS Time‐Series Along the San Andreas Fault System

Measuring crustal strain and seismic moment accumulation, is crucial for understanding the growth and distribution of seismic hazards along major fault systems. Here, we develop a methodology to integrate 4.5 years (2015–2019.5) of Sentinel‐1 Interferometric Synthetic Aperture Radar (InSAR) and continuous Global Navigation Satellite System (GNSS) time series to achieve 6 to 12‐day sampling of surface displacements at ∼500 m spatial resolution over the entire San Andreas fault system. Numerous interesting deformation signals are identified with this product (video link: https://www.youtube.com/watch? v=SxNLQKmHWpY). We decompose the line‐of‐sight InSAR displacements into three dimensions by combining the deformation azimuth from a GNSS‐derived interseismic fault model. We then construct strain rate maps using a smoothing interpolator with constraints from elasticity. The resulting deformation field reveals a wide array of crustal deformation processes including, on‐ and off‐fault secular and transient tectonic deformation, creep rates on all the major faults, and vertical signals associated with hydrological processes. The strain rate maps show significant off‐fault components that were not captured by GNSS‐only models. These results are important in assessing the seismic hazard in the region.
Individual and Interpersonal Factors Associated with the Incidence, Persistence, and Remission of Internet Gaming Disorders Symptoms in an Adolescents Sample

Video game playing behavior has serious consequences for adolescents on a personal, family, social, and academic level. This research aimed to examine risk and protective factors involving incidence, persistence, and remission of gaming disorders symptoms (IGDs) in Spanish adolescents after nine months of follow-up. Data were drawn from self-administered questionnaires completed on two occasions: at the beginning (T1) and end of the academic year (T2). A total of 950 adolescents aged from 11 to 20 years (M = 14, SD = 1.52, 48.5% female) completed the questionnaire at T1, while 550 adolescents aged from 11 to 18 years (M = 13.43, SD = 1.23, 48.9% female) took part in the follow-up study (T2). The incidence, persistence, and remission rates were 6%, 2.7%, and 4.2%, respectively. Significant relationships with IGDs were found between the male gender and studying at a private school in T1 and T2. The findings show that the time spent playing video games during T1 was positively associated with IGDs in T1 and T2. The incidence of IGDs was associated with emotional problems and low family affection. The persistence of IGDs was linked to higher motor impulsivity, agreeableness, and lower family resolve. Remission was related to a decrease in anxiety and hostility as well as an increase in the emotional stability of adolescents. These findings imply that emotional well-being and family adjustment could be relevant for the effective management of gaming behaviors.
Efficiency Analysis and Smoked Fish Business Development Strategy in Kendal Regency

MSME was proven to have a positive impact on economic growth, thus MSME’s business needs to become sustainable. MSME’s business sustainability is determined by the MSME’s ability to manage their profit efficiency and develop their business strategy. This study aims to examine the profit efficiency of the smoked fish business as one of MSMEs and the BUMDes development strategy in coastal community Tambaksari, Kendal Regency. The quantitative approach was conducted in this study. Primary data from 30 smoked fish entrepreneurs and 3 key person of BUMDes were collected by interview and questionnaire, then analyzed with Stochastic Translog Profit Frontier Analysis and Analytic Hierarchy Process (AHP). The results show that the efficiency of the smoked fish business still low due to age and education of the human resources. In addition, the propose strategies for develop the BUMDes are managerial training, comparative studies, and coordination with stakeholders in improving performance. The implication of this study is useful for smoked fish entrepreneurs and BUMDes to increase profit efficienct and develop strategy in order to make the business sustainable.
Studies on fuzzy decision making in Turkish Universities: An overview

Fuzzy sets theory bridges the gap between boolean logic and human logic which is including a high degree of ambiguity. It has been used to accomplish different tasks (to control, to optimize, to make decision etc.) in different areas (education, management, medicine, technical, military etc.). Many fuzzy decision making methods have been proposed over the years. Classification of these methods and their applications can be found in literature. However, most of these studies concern only one method or one specific application area or one certain time interval. From this point of view, this study aims to show the studies on application of fuzzy decision making in Turkish universities. It is expected that this study will help the researchers on working fuzzy decision making as it is beneficial to know the previous studies on their topic, in an organized way and there is no similar study on this area. It mainly surveys the PhD and MSc Theses in Turkey on fuzzy decision making and the unclassified studies are not given to limit the study. Classified studies are summarized, compared and future recommendations are given for new researchers.
An Analytical Framework for Offshore Wind Farm Layout Optimization

A method is developed for using the levelized cost of energy as the objective function for offshore wind farm layout optimization problems. The method converts the cost of energy into a function of turbine position only. To accomplish this, wind speed data are first characterized by direction sector. Continuous functions are then fitted to the Weibull parameters for each direction sector. The wind direction probability density function and the turbine power curve are also transformed into continuous functions. For each turbine in the farm, the continuous function that describes the Weibull scale parameter can be scaled to reflect wake losses from other turbines. The function may also be adjusted according to the variation in wind speed with fetch. The annual energy production of the farm is thus modeled as a function only of the turbine positions. When combined with wind farm cost estimates, the levelized cost of energy is still only a function of turbine position and can then be used as an objective function within a variety of optimization algorithms.
A New Design of Pressure Sensor Based on a GaAs-based Two Dimensional Photonic Crystal Slab on SiO2 Substrate

This paper reports the design and three dimensional (3D) simulation of a new photonic crystal (PC) pressure sensor. The device is constructed using a GaAs-based 2D PC slab on SiO2 substrate. The strain/stress simulations and also the spectral simulations are done using CST Studio Suite. In this investigation, the sensitivity of the proposed pressure sensor is calculated by considering the variation of the refractive index and also the deformation of the structure. The numerical results show that when pressure is applied, the refractive index variations cause an increment in the resonant wavelength of the transmission spectrum, but the deformation factor cause a decrease in the resonant wavelength. It has been shown that the relationship between the applied pressure and the resonant wavelength of the designed micro-cavity is linear. Based on the simulation results, the quality factor of the designed micro-cavity and the sensitivity of the pressure sensor are 2200 and 3.5 nm / GPa, respectively.
A Survey on Aspect-based opinion polling from online (web) reviews

World Wide Web has almost changed the picture of shopping, trading etc in e-commerce. Opinions expressed by customers for any products or services in the form of reviews or ratings play a crucial role in making decisions. Conventional (Structured) methods were very hectic and expensive as they needed the total involvement of customers for answering the specially designed questions. Sentiment analysis hence plays here a vital role to express the opinions in the form of pairs i.e. (feature, polarity). Many techniques have been proposed to express these opinions in terms of polarity till date . Hereby, we present a survey on some current approaches implemented for opinion poll generation.
Simple and Rapid Assembly of TALE Modules Based on the Degeneracy of the Codons and Trimer Repeats

Transcription activator-like effectors (TALEs) have been effectively used for targeted genome editing, transcriptional regulation, epigenetic modification, and locus-specific DNA imaging. However, with the advent of the clustered regularly interspaced short palindromic repeat/Cas9 system, an easy-to-use tool with the same function as TALEs, TALEs have recently been abandoned because of their complexity, time consumption, and difficult handling in common labs. Here, we described a degenerated codon-based TALE assembly system for simple, rapid, and efficient TALE assembly. TALE trimers with nonrepetitive DNA sequences were amplified by PCR and sequentially assembled via Gibson assembly. Our method is cost-effective, requires only commonly used basic molecular biology reagents, and takes only 2 h from target sequence analysis to completion. This simple, rapid, and lab-friendly TALE assembly method will restore the value of TALEs in DNA targeting.
Tactical and strategic missile guidance

Numerical Techniques Fundamentals of Tactical Missile Guidance Method of Adjoints and the Homing Loop Noise Analysis Convariance Analysis and the Homing Loop Proportional Navigation and Miss Distance Digital Fading Memory Noise Filters in the Homing Loop Advanced Guidance Laws Kalman Filters and the Homing Loop Other Forms of Tactical Guidance Tactical Zones Strategic Considerations Boosters Lambert Guidance Strategic Intercepts Miscellaneous Topics Ballistic Target Properties Extended Kalman Filtering and Ballistic Coefficient Estimation Ballistic Target Challenges Multiple Targets Weaving Targets Representing Missile Airframe with Transfer Functions Introduction to Flight Control Design Three-Loop Autopilot. Appendices: Tactical and Strategic Missile Guidance Software Converting Programmes to C Converting Programmes to MATLAB Units.
Multi-port voltage-subtracting circuit based on resonant switched-capacitor

This study presents a novel multi-port power convert circuit. In order to facilitate description, the circuit is introduced as a multi-input voltage-subtracting converter. The multiple input sources are shared on a common neutral, and the output voltage is the subtraction operation of the multiple inputs. The converter is only composed by switches, diodes, capacitors and small resonant inductor. All switches only need a pair of complementary fixed frequency pulse signal with fixed duty ratio to control. The detailed circuit analysis of three-input voltage-subtracting circuits, the structure variation and characteristics of multi-input voltage-subtracting converter are summarised in the study. First, the basic switching-capacitor cell of this converter is presented; the converters with different input sources therefore can be easily designed. The small resonant inductors are used to facilitate zero-current switching, and their sizes therefore are very small and do not affect the size of circuit. At the end of this study, an energy distribution system and a multi-colour light modulation circuit based on this circuit are presented.
Gathering the Story: Documentary Film Research and Data Collection

The documentary film genre is a powerful and influential information and communication medium that educates, “embraces difference,” inspires, and motivates its audience. Its increasing utilization in education timely coincides with technological advances in film and video production today. What has historically been a prohibitive undertaking is now a progressively egalitarian vocation using inexpensive equipment and software. Yet the literature on the research and collection aspect of documentary filmmaking, which is crucial to the production process, is still limited. This qualitative study explores professional documentary filmmakers’ experiences with research and data collection. A motivational model served as the framework to develop and design the instrument, as well as data analysis. The questions were reviewed by three researchers, and a pilot test was conducted with a veteran filmmaker. Eleven professional documentary filmmakers in the Asia-Pacific region were interviewed using a purposive sampling. Journaling, field notes, and observations were used in addition to the in-depth interviews. After analysis and interpretation were completed, five major themes emerged on how the filmmakers approached research and data collection for documentary film: 1) do the research, 2) tell the story visually, 3) find strong characters, 4) support universal themes, and 5) relate to your audience. This research uniquely summarized the knowledge and experiences of professional filmmakers acquired from the actual filmmaking process. These significant results provide relevant and important information and recommendations for beginner and student filmmakers learning about and exploring documentary film. This study was designed to contribute to the practice and literature of documentary film research and studies, data collection and education.
Guia ilustrado dos cervídeos brasileiros

O presente guia, contemplando a descrição de oito espécies de cervídeos que ocorrem no Brasil, é um marco fundamental e representa um resultado de extrema importância por seu valor como ferramenta de identificação acessível a acadêmicos e amantes da natureza. Esta obra conta com descrições detalhadas, mapas de ocorrência e inúmeras pranchas comparativas, com detalhes preciosos de várias regiões do corpo destes animais e auxiliará pesquisadores, guias de turismo, gestores de Unidades de Conservação e entusiastas leigos que, ao conhecer melhor os cervídeos brasileiros, melhorarão a difusão do conhecimento entre diversos setores de nossa sociedade e, futuramente, poderão contribuir solidamente para a formação de bancos de dados da biodiversidade.
Identification of Novel Antagonists Targeting Cannabinoid Receptor 2 Using a Multi-Step Virtual Screening Strategy

The endocannabinoid system plays an essential role in the regulation of analgesia and human immunity, and Cannabinoid Receptor 2 (CB2) has been proved to be an ideal target for the treatment of liver diseases and some cancers. In this study, we identified CB2 antagonists using a three-step “deep learning–pharmacophore–molecular docking” virtual screening approach. From the ChemDiv database (1,178,506 compounds), 15 hits were selected and tested by radioligand binding assays and cAMP functional assays. A total of 7 out of the 15 hits were found to exhibit binding affinities in the radioligand binding assays against CB2 receptor, with a pKi of 5.15–6.66, among which five compounds showed antagonistic activities with pIC50 of 5.25–6.93 in the cAMP functional assays. Among these hits, Compound 8 with the 4H-pyrido[1,2-a]pyrimidin-4-one scaffold showed the best binding affinity and antagonistic activity with a pKi of 6.66 and pIC50 of 6.93, respectively. The new scaffold could serve as a lead for further development of CB2 drugs. Additionally, we hope that the model in this study could be further utilized to identify more novel CB2 receptor antagonists, and the developed approach could also be used to design potent ligands for other therapeutic targets.
Pyramid Family: Generic Frameworks for Accurate and Fast Flow Size Measurement

Sketches, as a kind of probabilistic data structures, have been considered as the most promising solution for network measurement in recent years. Most sketches do not work well for skewed network traffic. To address this problem, we propose a family of sketch frameworks, namely the Pyramid family. The first member of our Pyramid family is the S-Pyramid framework, which includes two techniques: counter-pair sharing for high accuracy, and word acceleration for fast speed. The second member of our Pyramid family is the Mini-Pyramid framework, which projects the S-Pyramid framework into one counter, bringing more flexibility in application while keeping the accuracy. To demonstrate the generality of our Pyramid family, we apply both frameworks to sketches of CM, CU, Count, and Augmented. To demonstrate the flexibility of the Mini-Pyramid framework, we further apply Mini-Pyramid to SBF and the On-Off sketch. The experimental results show that, the S-Pyramid framework can reduce the ARE by up to 7.12 times compared with the original sketches, while improving the throughput by up to 2.37 times; the Mini-Pyramid framework can reduce the ARE by up to 29.2 times, at the cost of 21.3% lower throughput on average.
SHIP164 is a Chorein Motif Containing Lipid Transport Protein that Controls Membrane Dynamics and Traffic at the Endosome-Golgi Interface

Cellular membranes differ in protein and lipid composition as well as in the protein-lipid ratio. Thus, progression of membranous organelles along traffic routes requires mechanisms to control bilayer lipid chemistry and their abundance relative to proteins. The recent structural and functional characterization of VPS13-family proteins has suggested a mechanism through which lipids can be transferred in bulk from one membrane to another at membrane contact sites, and thus independently of vesicular traffic. Here we show that SHIP164 (UHRF1BP1L) shares structural and lipid transfer properties with these proteins and is localized on a subpopulation of vesicle clusters in the early endocytic pathway whose membrane cargo includes the cation-independent mannose-6-phosphate receptor (MPR) and ATG9. Loss of SHIP164 disrupts retrograde traffic of these organelles to the Golgi complex. Our findings raise the possibility that bulk transfer of lipids to endocytic membranes may play a role in their traffic.
Load and Cost-Aware Min-Min Workflow Scheduling Algorithm for Heterogeneous Resources in Fog, Cloud, and Edge Scenarios

Fog computing and Edge computing are few of the latest technologies which are offered as solution to challenges faced in Cloud Computing. Instead of offloading of all the tasks to centralized cloud servers, some of the tasks can be scheduled at intermediate Fog servers or Edge devices. Though this solves most of the problems faced in cloud but also encounter other traditional problems due to resource-related constraints like load balancing, scheduling, etc. In order to address task scheduling and load balancing in Cloud-fog-edge collaboration among servers, we have proposed an improved version of min-min algorithm for workflow scheduling which considers cost, makespan, energy and load balancing in heterogeneous environment. This algorithm is implemented and tested in different offloading scenarios- Cloud only, Fog only, Cloud-fog and Cloud-Fog-Edge collaboration. This approach performed better and the result gives minimum makespan, less energy consumption along with load balancing and marginally less cost when compared to min-min and ELBMM algorithms
Adolescent feedback on predisposing, reinforcing and enabling features in asthma self-management apps

Objective: Mobile health apps hold potential to support and reinforce positive health behaviours, especially among young people with chronic diseases like asthma that require continual self-management. We aimed to gain feedback from adolescents with asthma on two existing asthma self-management apps to guide the development of an evidence- and theory-based asthma app that meets their asthma management needs. Design: A qualitative interview study was conducted with adolescents with persistent asthma (n = 20), aged 12–16. Setting: Interviews took place after the individual’s clinic appointment and during telephone interviews one week later. Methods: Participants provided feedback on two asthma self-management apps during two semi-structured interviews. Interviews were audio-recorded, transcribed verbatim and analysed thematically using MAXQDA 11. The Precede–Proceed Model (PPM) was used as a framework to evaluate perceptions of app features, including utility. Suggestions for improvements, including addition of predisposing, reinforcing and enabling PPM features, were identified. Results: The majority of app features functioned as enabling (e.g. inputting triggers, recording doctor’s appointments and tracking peak flow). However, participants recommended addition of predisposing and reinforcing features, including knowledge on dealing with asthma triggers (predisposing) and a reward system for daily peak flow entry (reinforcing), to support their asthma management. Conclusion: Findings suggest that including predisposing, reinforcing and enabling features in asthma apps could facilitate asthma self-management. Public health professionals should partner with app developers in the development of asthma self-management apps that include predisposing, reinforcing and enabling features to meet user needs and ensure they are effective and accepted behaviour change apps.
Segmentation of Bladder and Prostate Cancer with Biological Materials Based on Center-Focus Active Shape Model

Cancer boundary detection is an important prior task in cancer diagnosis, which will help to manage the next treatment and operation. Active shape model is proposed to solve this problem as a promising technique. But for segmentation tasks with background interference or cases such as organs with similar gray scale values, it does not always match the target contours as well as expect. This paper proposes an active shape model technique using center-focus method to robustly match the target boundaries. The algorithm has been applied on CT slices containing prostate or bladder to demonstrate the good performance of object segmentation
Apply Emotional Tendency Analysis to Sina Microblog

In recent years, microblog has become one of the most popular social tools for the majority of Internet users. More and more people are actively sharing information with others, expressing their opinions on microblog. The microblog messages which they share usually have emotional tendencies, which are positive, negative and netural. In this paper, we judge emotional tendencies by analyzing sina microblog messages and focus on the calculation method of text emotional tendencies.
Critical success factors for PPP/PFI projects in the UK construction industry

Public–private partnerships (PPPs) are increasingly used in the United Kingdom's public facilities and services provision through the Private Finance Initiative (PFI). Despite some casualties, PPP/PFI projects have been undertaken successfully, but the reasons for success are not entirely clear. Questionnaire survey research examined the relative importance of 18 potential critical success factors (CSF) for PPP/PFI construction projects in the UK. The results show that the three most important factors are: ‘a strong and good private consortium’, ‘appropriate risk allocation’ and ‘available financial market’. Factor analysis revealed that appropriate factor groupings for the 18 CSFs are: effective procurement, project implementability, government guarantee, favourable economic conditions and available financial market. These findings should influence policy development towards PPPs and the manner in which partners go about the development of PFI projects.