Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of the Cooking Process on Metabolite Profiling of Acanthocereus tetragonus, a Plant Traditionally Consumed in Mexico

Acanthocereus tetragonus (L.) Hummelinck is used as an alternative food source in some Mexican communities. It has been shown that the young stems of A. tetragonus provide crude protein, fiber, and essential minerals for humans. In this work, we analyzed the phytochemical profile, the total phenolic content (TPC), and the antioxidant activity of cooked and crude samples of A. tetragonus to assess its functional metabolite contribution to humans. The phytochemical profile was analyzed using Ultra-High-Performance Liquid Chromatography coupled to High-Resolution Mass Spectrometry (UHPLC-PDA-HESI-Orbitrap-MS/MS). Under the proposed conditions, 35 metabolites were separated and tentatively identified. Of the separated metabolites, 16 occurred exclusively in cooked samples, 6 in crude samples, and 9 in both crude and cooked samples. Among the detected compounds, carboxylic acids, such as threonic, citric, and malic acids, phenolic acids, and glycosylated flavonoids (luteolin-O-rutinoside) were detected. The TPC and antioxidant activity were analyzed using the Folin–Ciocalteu method and the 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical inhibition method, respectively. The TPC and antioxidant activity were significantly reduced in the cooked samples. We found that some metabolites remained intact after the cooking process, suggesting that A. tetragonus represents a source of functional metabolites for people who consume this plant species.
Design and Development of PDMS based Channel for Fluid Analysis

Objectives: Design, fabrication and characterization of different shapes of PDMS based fluidic channels without clean room process to give the consumer an opportunity for detection of few common adulterants in milk. Methods/Statistical Analysis: The detail fabrication process of PDMS based microchannel and experimental analysis carried out for determination of adulteration in milk using colorimetric detection method is carried out. Findings: Recently there has been great deal of interest of polymer for fabrication of Microfludics devices. One of its great advantage is it does not required clean room process for prototyping of Microfludics chips. In this work we have fabricated and characterize different shapes of channels without clean room process. Experiments to detect Starch in the milk were carried out using the fabricated micro channel. Complete system including micro channel, ardruino microcontroller and TCS3200 colour sensor has been developed to detect the adulteration in milk. Application/Improvements: This system can provide a great platform for fluid analysis and biosensor applications.
Predictors of social functioning in people with antisocial personality disorder

Correspondence: Ahmet Nalbant, Adiyaman University Training nad Research Hospital, Department of Psychiatry, Adiyaman, Turkiye E-mail: ahmetnlbnt@gmail.com Received: February 12, 2022; Revised: March 29, 2022; Accepted: April 09, 2022 ABSTRACT Objective: Although much research has been performed in defining and diagnosing the antisocial personality disorder (ASPD) and its etiology, very few data about the predictors of social functioning (SF) in ASPD are available. Acceptance and commitment therapy is a third-wave psychotherapy which puts the psychological inflexibility model at the heart of its psychopathology model. According to this model, experiential avoidance, cognitive fusion, and attachment to conceptualized self are three processes that are related to psychological inflexibility. Method: In this study, we included 220 people with ASPD. We investigated possible predictive effects of experiential avoidance (measured with Acceptance and Action Questionnaire-II), cognitive fusion (measured with Cognitive Fusion Questionnaire), attachment to conceptualized self (measured with Self-as-Context Scale), symptom severity (measured with Structured Clinical Interview for DSM-II), and perspective taking (measured with Interpersonal Reactivity Index) on SF (measured with Social Functioning Scale) in people with ASPD. We conducted regression analyses to determine possible predictive effects. Results: Our model explained 14% of the cases. ASPD severity, lower attachment to conceptualized self, and cognitive fusion were found to predict SF but perspective taking and experiential avoidance did not. Conclusion: Other than symptom severity, self-as-context and cognitive fusion were found to predict SF in people with ASPD. Results were compared with the literature data.
Value Engineering and Function Analysis: Frameworks for Innovation in Antenna Systems

Value engineering (VE) and function analysis (FA) are technological tools for the functional enhancement and cost reduction of engineering projects. They also help to overcome mental inertia by acknowledging the voice of the customer in complicated systems. Antenna engineering, providing electromagnetic remote links, is an important area in engineering science, with a large number of innovative concepts. However, managing innovative ideas to improve performance, reliability, quality, safety, and reduce life cycle costs, is still a work in progress. This research was designed to apply VE and FA as frameworks for innovative ideas in antenna systems, especially with regard to imaging and radar systems. FA diagrams free a designers’ mind from tools to instead focus on purpose, which can help them to obtain better ideas for solutions to problems. It was identified that there were several options available for functionality enhancement and cost reduction. The required functionalities of the components of antenna systems, and their advantages and limitations were indicated. In addition, it was identified that some of the advantages and limitations appeared for combinations of the components. Alternative methods for applications, such as polarization conversion and the separation of outgoing and incoming electromagnetic waves, were studied. Circular polarization (CP) is important for two-way communication, since left-handed circularly polarized waves usually return with right-handed CP from targets. Therefore, various methods for producing CP were discussed, such as metamaterial-based linear to circular polarization converters and waveguide polarizers. Also, potential extra applications for these systems were explained. Two examples were: (1) merging multiple systems with different operating frequencies using multiband components; and (2) applying a feeding system for multiple reflectors using surfaces that reflect half of the wave and transmit the other half. Consequently, it was identified that the clearance of existing functions, prioritization of customers, identification of system bottlenecks requiring innovative methods, and better communication between users and designers, were the key benefits of VE and FA.
Experience-Based Competency Training in Child and Adolescent Psychotherapy

Abstract. Background: Compared to adult psychotherapy training, there is little knowledge about the use of standardized actor-patients (SPs) for the development of professional competencies for younger patient populations. Objective: We assessed the effectiveness of two university-based training programs for diagnostic as well as intervention skills in child and adolescent psychotherapy. Methods: Psychology students took part in two courses on the development of diagnostic competencies ( N = 59) and on intervention skills ( N = 51). We applied active and experience-based learning strategies, including exercises on self-awareness, mindfulness, peer role-play, and the use of SPs. Competence gain as well as a general evaluation of the seminars were assessed by self-report. Results: For both seminars, self-reported competence increased significantly with a large effect. The retrospective evaluation of learning success and acceptance ratings of the didactic formats were high. Conclusions: Experience-based trainings that include SPs are a feasible option for child and adolescent psychotherapy. The findings are discussed from a conceptual as well as a practical perspective.
Let’s Talk Open-Source — An Analysis of Conference Talks and Community Dynamics

Open-source software has integrated itself into our daily lives, impacting 78% of US companies in 2015 [11] . Past studies of open-source community dynamics have found motivations behind contributions [3] , [14] , [18] , [19] and the significance of community engagement [8] , [17] , but there are still many aspects not well understood. There’s a direct correlation between the success of an open-source project and the social interactions within its community [7] , [9] , [17] . Most projects depend on a small group. A study by Avelino et al. [4] on the 133 most popular GitHub projects found that 86% will fail if one or two of its core contributors leave. To sustain open-source, we need to better understand how contributors interact, what information is shared, and what concerns practitioners have. We study common topics, how these have changed over time (2011 - 2021), and what social issues have appeared within open-source communities. Our research is guided by the following questions: (1) How is open-source changing/evolving? (2) What changes do practitioners believe are necessary for open-source to be sustainable?
dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method

Abstract Summary The Depth Importance in Precision Medicine (DIPM) method is a classification tree designed for the identification of subgroups relevant to the precision medicine setting. In this setting, a relevant subgroup is a subgroup in which subjects perform either especially well or poorly with a particular treatment assignment. Herein, we introduce, dipm, a novel R package that implements the DIPM method using R code that calls a program in C. Availability and implementation dipm is available under a GPL-3 licence on CRAN https://cran.r-project.org/web/packages/dipm/index.html and at https://ysph.yale. edu/c2s2/software/dipm. It is continuously being developed at https://github.com/chenvict/dipm. Supplementary information Supplementary data are available at Bioinformatics Advances online.
Permittivity sensing and measurement with novel split ball resonator using E‐field perturbation technique

A method of designing low‐loss split‐ball resonator (SBR) for permittivity sensing and measurement at microwave frequencies using resonant perturbation technique is being presented. SBR geometry strengthens electric field in the capacitive region by confining greater resonant energy in the split. Enhanced sensitivity by virtue of potent electric field enabled us to sense and measure permittivity of common polar solvents (methanol and ethanol). Comparative analysis, eigenmode simulations, and empirical measurements exhibited improved sensitivity of SBR. The solution of Maxwell equations for boundary conditions before and after material perturbation produce expressions, which lead to permittivity evaluation.
Investigating building information modeling acceptance in the Chinese AECO industry

PurposeConscious of the benefits building information modeling (BIM) has brought about to the architecture, engineering, construction and operations (AECO) industry, the Chinese government has been driving BIM adoption. Nonetheless, its acceptance and proliferation in China remain stagnant. Most relevant literature focuses on BIM diffusion at the industry and organizational levels, but the impact of non-managerial practitioners executing BIM or the traditional drafting approach in day-to-day work tends to be disregarded. This study aims to extend theoretical models pertaining to technology acceptance to understand non-managerial practitioners’ perceptions toward working with BIM in China.Design/methodology/approachA new BIM acceptance model was proposed based on previous technology acceptance theories. After a pilot study, a survey was conducted with 153 non-managerial practitioners in the Chinese AECO industry.FindingsAmong factors impacting non-managerial practitioners’ BIM acceptance in China, performance expectancy and task-technology fit significantly and positively influence behavioral intention to accept BIM, while the impacts from effort expectancy, social influence and facilitating conditions are not essential.Research limitations/implicationsManagement strategies, such as improving non-managerial staff’s benefits and sense of BIM usefulness, selecting suitable tools to match with the staff’s tasks and promoting a middle-out approach in parallel with top-down interventions, are proposed for Chinese AECO organizations to enhance BIM acceptance.Originality/valueFew studies have explored BIM acceptance from the perspective of non-managerial users in the Chinese AECO industry, especially using the theories related to technology acceptance. The BIM acceptance model developed in this study is different from those used in previous global studies in terms of influencing factors.
Modelling the Performance of Wearable Antenna using Hybrid SNFT-FDTD Method

In this study, utilizing a hybrid SNFT-FDTD method, we evaluated the receiving antenna performance of a wearable device. The hybrid method realized an accurate reconstruction of the propagating wave in a simulation domain based on the measured data of a real transmitting antenna, thus combined the measurement and the simulation. The wearable antenna and the head model were included in the simulation. The received power was evaluated for various rotation angles. The results demonstrated the applicability of the hybrid method for evaluation of the performance of the receiving wearable antenna.
Anticancer Profile of Rhodanines: Structure–Activity Relationship (SAR) and Molecular Targets—A Review

The rhodanine core is a well-known privileged heterocycle in medicinal chemistry. The rhodanines, as subtypes of thiazolidin-4-ones, show a broad spectrum of biological activity, including anticancer properties. This review aims to analyze the anticancer features of the rhodanines described over the last decade in the scientific literature. The structure–activity relationship of rhodanine derivatives, as well as some of the molecular targets, were discussed. The information contained in this review could be of benefit to the design of new, effective small molecules with anticancer potential among rhodanine derivatives or their related heterocycles.
Reliability Based Min–Max Regret Stochastic Optimization Model for Capacity Market With Renewable Energy and Practice in China

Capacity market is a long-term clearing model to coordinate the traditional thermal generation and the renewable energy generation, which minimizes the total capacity cost of traditional generation, while satisfying the operational constraints and reliability requirement. Furthermore, to address the uncertainties in the long-term optimal decision, min–max regret is employed to find the optimal solution under the worst regret, generating several representable scenarios that can help generation companies to understand how these scenarios would impact on the future generation planning. Finally, a decomposition method is proposed to solve this reliability based min–max regret stochastic optimization model by bisection. The test results on one regional grid in China show the effectiveness of the proposed model.
Linear ADRC direct current control of grid‐connected inverter with LCL filter for both active damping and grid voltage induced current distortion suppression

The conversion and utilisation of renewable energy generations often require grid-connected inverters. When applying LCL filter to remove power electronic chopping harmonics, the power quality faces two issues of resonance damping and grid voltage induced current distortion. Conventionally, two separate control algorithms are required to treat the two issues, requiring an additional current sensor, increasing control complexity and limiting performance. This study demonstrates that linear active disturbance rejection control (ADRC) is able to treat both resonance damping and grid voltage induced current distortion as overall disturbance at the same time through a single structure, while achieving higher power quality for dynamic, steady-state, small and large parameter setup, as well as parameter variations, as validated by experimental results. In principle, the ADRC can be configured with or without knowledge of the system model. This study also reveals that it is the measurement noise tolerance that makes the two configurations different in practice. By using model information in ADRC algorithm, the required bandwidth can be reduced, offering more tolerance to measurement noise. Moreover, the ADRC controller has only two parameters to tune for ‘fast’ or ‘slow’, which makes it easy for implementation.
Nutrient Pollution and U.S. Agriculture: Causal Effects, Integrated Assessment, and Implications of Climate Change

We study the relationship between water nutrient pollution and U.S. agriculture using data between the early 1970s and late 2010s. We estimate a positive causal effect of corn acreage on nitrogen concentration in the country’s water bodies using alternative empirical approaches. We find that a 10% increase in corn acreage causes an increase in nitrogen concentration in water by at least 1% and show that the magnitude of the acreage effect increases with precipitation but not with extreme temperature. Based on the average streamflow of the Mississippi River at the Gulf of Mexico during this period and damages of about $16 per kilogram of nitrogen, this 1% increase in average nitrogen concentration implies an annual external cost of $800 million. We also report the results of additional integrated-assessment type of exercises aimed to inform policy makers, and we use recent climate models to project the implications of climate change on the magnitude of the estimated effects. We estimate that climate change will not materially change the relationship between corn acreage and nitrogen concentration in waterways.
Event-Driven Sensor Deployment in an Underwater Environment Using a Distributed Hybrid Fish Swarm Optimization Algorithm

In open and complex underwater environments, targets to be monitored are highly dynamic and exhibit great uncertainty. To optimize monitoring target coverage, the development of a method for adjusting sensor positions based on environments and targets is of crucial importance. In this paper, we propose a distributed hybrid fish swarm optimization algorithm (DHFSOA) based on the influence of water flow and the operation of an artificial fish swarm system to improve the coverage efficacy of the event set and to avoid blind movements of sensor nodes. First, by simulating the behavior of foraging fish, sensor nodes autonomously tend to cover events, with congestion control being used to match node distribution density to event distribution density. Second, the construction of an information pool is used to achieve information-sharing between nodes within the network connection range, to increase the nodes’ field of vision, and to enhance their global search abilities. Finally, we conduct extensive simulation experiments to evaluate network performance in different deployment environments. The results show that the proposed DHFSOA performs well in terms of coverage efficacy, energy efficiency, and convergence rate of the event set.
Design Obfuscation Through 3-D Split Fabrication With Smart Partitioning

We describe a design and fabrication experiment that has been performed to investigate a methodology for assessing the security of application specific integrated circuits (ASICs) fabricated in a split-manufacturing process based on 3-D integrated circuit (3DIC) technologies. The purpose of this process is to protect critical IP from reverse engineering if an adversary obtains either the fabricated wafers or their GDS. A number of 3DIC-based fabrication alternatives were evaluated, and one is selected for this experiment. Several designs, from the trivial to the complex, were used for the study. A self-test module was embedded in each design to facilitate the postfabrication testing. Various obfuscation techniques that include camouflage in the form of function and lookup table hiding and insertion of redundant logic in order to confuse potential attackers were applied. Smart partitioning was implemented for each design in an attempt to conceal vital functions. We introduced metrics that are based on the number of connection possibilities (<inline-formula> <tex-math notation="LaTeX">$C_{p}$ </tex-math></inline-formula>) and the depth of partitioning (<inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{ depth}}$ </tex-math></inline-formula>) to measure the obfuscation strength. The results show that it should take more than 10 <sup>60</sup> years to reconstruct the netlist using a brute-force attack. Measurement results are presented showing fabrication success.
Analisis Deskriptif Pengguna Go-Pay di Surabaya

Financial technology atau fintech merupakan inovasi dibidang finansial yang bertujuan untuk memudahkan pengguna dalam melakukan kegiatan finansial dan memudahkan perusahaan dalam memberikan pelayanan keuangannya. GO-PAY adalah salah satu fintech di Indonesia yang merupakan layanan mobile payment yang terdapat pada platform GO-JEK. GO-PAY disediakan untuk memberikan kemudahan dan kenyamanan bagi proses transaksi yang dilakukan dalam GO-JEK. Penelitian ini dilakukan untuk menganalisa penggunaan dari layanan GO-PAY itu sendiri. Didapat sebanyak 646 data yang dapat diolah pada penelitian ini. Dari hasil tersebut ditemukan beberapa demografi yang kemudian dianalisis. Salah satunya adalah banyaknya pengguna GO-PAY yang mempunyai jenis kelamin perempuan dan layanan yang sering menggunakan GO-PAY sebagai media transaksinya adalah GO-FOOD.
Predicting the Suitable Current and Future Potential Distribution of the Native Endangered Tree Tecomella undulata (Sm.) Seem. in Pakistan

The burgeoning human population exhibited a rapid amplification in demand for timber and fuelwood and as a result, the natural population of the native tree Tecomella undulata reduced rapidly due to its high economic and medicinal significance. The recognition of appropriate regions for threatened plants in the climate change scenario is a fundamental step for the restoration and conservation of biodiversity. The current study predicts the potentially suitable areas in Pakistan for T. undulata restoration. This research identifies the highly appropriate regions for vulnerable T. undulata through the maximum entropy model from MaxEnt software. The model’s Area Under Curve 0.968 suggested its accuracy. The mean temperature of the wettest quarter, precipitation of the warmest quarter, and mean temperature in the driest quarter significantly shaped the T. undulata distribution. Future suitable areas for T. undulata were made by using RCP (4.5 and 8.5) for the years 2050 and 2070 through 19 bioclimatic variables and 66 occurrence points. The current highly suitable area for T. undulata is approximately 135,749 km2 (15.4%) while the unsuitable area identified is approximately 404,917 km2 (45.91%). The highly suitable area for T. undulata increases by 3.6–7% under climate change regimes (RCP 4.5 and RCP 8.5). The Central Punjab (District Faisalabad, Nankana sahib, Jhang, Kasur, and Okara), Salt Range, Western Khayber Pakhtunkhwa (KPK), FATA area, Eastern Balochistan, and Thar and Tharparker in Sindh are the current appropriate habitats for T. undulata. Under all future climatic circumstances, the extremely appropriate area for T. undulata was anticipated to expand, whereas the unsuitable zones would all shrink. The research would be significant for the further development of T. undulata management and conservation techniques.