Miracle-dz/UniFAR-FTUs huggingface dataset:
Colloidal CuInSe2 Nanocrystals in the Quantum Confinement Regime: Synthesis, Optical Properties, and Electroluminescence

Photoluminescent, near-stoichiometric colloidal CuInSe2 nanocrystals are synthesized in large batches and with good colloidal quality. An organometallic method is used with a moderate reaction temperature (≤200 °C) to produce CuInSe2 nanocrystals with size-tunable photoluminescence spectra ranging from ∼600 to ∼850 nm. Two-dimensional photoluminescence excitation–emission maps are reported for the CuInSe2 nanocrystals, highlighting the size-tunable excitonic features. Type I heterostructured CuInSe2/ZnS nanocrystals are prepared and purified. They are found to have absolute photoluminescence quantum yields up to ∼26%. The potential to use CuInSe2/ZnS core/shell nanocrystals as a potential low toxicity active layer in light-emitting diodes is demonstrated by fabricating electroluminescent devices.
Resilient Distributed Voltage Synchronization of CI Networks Under Denial of Service Attacks

This brief proposes a resilient distributed sampled-data control method to achieve the voltage synchronization of connected inverter (CI) networks against denial of service (DoS) attacks. In practical CI networks, the continuous communication among cooperative and connected inverters may be result in high communication traffic, which is also vulnerable to the DoS attacks. To this end, the proposed distributed resilient sampled-data control method can synchronize CIs’ output voltages to track the reference state exponentially, even if the sparse communication is subject to DoS attacks. Specifically, in order to effectively deal with the time-varying sampling and against malicious attacks simultaneously, the sampled-data CI system is transformed into the switched time-delay CI system. By employing the Lyapunov stability theory, and the Jensen’s Inequality method, the criteria for sampling interval boundedness considering DoS attacks is derived for the stable operation of closed-loop CI system. Finally, simulation results are carried out in MATLAB/SimPower Systems to verify the effectiveness of the proposed control method.
Stochastic Unit Commitment Problem, Incorporating Wind Power and an Energy Storage System

This paper presents a modified formulation for the wind-battery-thermal unit commitment problem that combines battery energy storage systems with thermal units to compensate for the power dispatch gap caused by the intermittency of wind power generation. The uncertainty of wind power is described by a chance constraint to escape the probabilistic infeasibility generated by classical approximations of wind power. Furthermore, a mixed-integer linear programming algorithm was applied to solve the unit commitment problem. The uncertainty of wind power was classified as a sub-problem and separately computed from the master problem of the mixed-integer linear programming. The master problem tracked and minimized the overall operation cost of the entire model. To ensure a feasible and efficient solution, the formulation of the wind-battery-thermal unit commitment problem was designed to gather all system operating constraints. The solution to the optimization problem was procured on a personal computer using a general algebraic modeling system. To assess the performance of the proposed model, a simulation study based on the ten-unit power system test was applied. The effects of battery energy storage and wind power were deeply explored and investigated throughout various case studies.
Data Analytics on Graphs Part I: Graphs and Spectra on Graphs

The area of Data Analytics on graphs promises a paradigm shift, as we approach information processing of new classes of data which are typically acquired on irregular but structured domains (such as social networks, various ad-hoc sensor networks). Yet, despite the long history of Graph Theory, current approaches tend to focus on aspects of optimisation of graphs themselves rather than on eliciting strategies relevant to the objective application of the graph paradigm, such as detection, estimation, statistical and probabilistic inference, clustering and separation from signals and data acquired on graphs. In order to bridge this gap, we first revisit graph topologies from a Data Analytics point of view, to establish a taxonomy of graph networks through a linear algebraic formalism of graph topology (vertices, connections, directivity). This serves as a basis for spectral Ljubiša Stanković, Danilo Mandic, Miloš Daković, Miloš Brajović, Bruno Scalzo, Shengxi Li and Anthony G. Constantinides (2020), “Data Analytics on Graphs Part I: Graphs and Spectra on Graphs”, Foundations and Trends © in Machine Learning: Vol. 13, No. 1, pp 1–157. DOI: 10.1561/2200000078-1.
Evaluation of Training in Pediatric Ultrasound-guided Vascular Cannulation Using a Model

Background: The study objective was to evaluate a training program and a training model for pediatric ultrasound-guided vascular cannulation (USGVC) by inexperienced operators. Methods: An observational descriptive study was conducted at the pediatric intensive care unit of a level-III hospital. The study protocol comprised the following parts: (1) pretraining test; (2) theory and practice training session consisting of an explanation of basic vascular ultrasound concepts plus performing vascular cannulation in a model; (3) posttraining test; and (4) evaluation of the training model. Results: A total of 25 health-care professionals participated in the study. All of them possessed the skills to locate vessels and ultrasound planes, and they performed USGVC using the training model. On a 1–5 scale, the model was rated to have 87.6% fidelity with real pediatric patients; the best regarded aspect of it was utility (93%). Differences were found between pre- and post-training scores: 2.72 ± 0.84 versus 4.60 ± 0.50; P < 0.001 (95% confidence interval: −2.28, −1.47). Altogether, 300 ultrasound-guided cannulation procedures were carried out (12 per participant) distributed along the longitudinal axis in plane and the transverse axis out of plane, with 150 punctures in each of them. The success rate for USGVC in the training model was 79.7%, the mean time for the procedure was 115.6 ± 114.9 s, and the mean time for achieving successful cannulation was 87.69 ± 82.81 s. The mean number of trials needed for successful USGVC was 1.49 ± 0.86. Conclusion: After undergoing the theory–practice training, participants: (a) improved their knowledge of ultrasound-guided vascular access; (b) positively evaluated the USGVC training model, in particular its utility and fidelity as compared with cannulation in pediatric patients; and (c) achieved a high USGVC success rate in a relatively short time.
Receptiveness of Islamic Home Financing among Malaysians: A Revisit

This study examines the effects of the key factors influencing the intention of first-time house buyers to choose Islamic home financing products. First-time house buyers are selected since they are the major segment of Islamic banks' profit for the Islamic mortgage sector. Drawing upon the theory of planned behaviour (TPB), this study proposes a model to test the effects of attitude, subjective norm and perceived behavioural control on the intention of selecting Islamic home financing. This study also examines the effect of "perceived customer taqwa” on customer receptiveness to Islamic home financing. Based on 150 usable questionnaires, PLS results indicate that attitude and perceived behavioural control of the TPB are instrumental in determining the receptiveness of Islamic home financing products. Besides, the added factor, namely, perceived customer taqwa is influential in explaining the receptiveness- implying that God-fearing and God-conscious in oneself resulted in strong intention to opt for halal products. The findings demonstrate that the enhancement of measurement items for TPB factors as well as generation of new factor reflecting Islamic home financing are relevant in determining one’s decision of Islamic home financing. Besides, the findings could offer support to Islamic bank managers to enhance their planning for Islamic home financing products and develop effective strategies accordingly that benefit their customers.
Mg-Substituted Tricalcium Phosphates: Formation and Properties

This study aimed to investigate the formation and properties of mag nesium (Mg)substituted tricalcium phosphate, β-TCMP, its properties and potential as biomaterial for bone repair. β-TCMPs were prepared and characterized using x-ray diffraction, FT-IR and SEM. Dissolution properties were determined in acidic buffer. β-TCMP discs were implanted in surgically created holes in femoral and tibial diaphyses of rabbits. Results demonstrated that the formation of β-TCMP and Mg incorporation in β-TCMP were dependent on reaction pH, temperature and solution Mg/Ca ratios. Sintere d β-TCMP was significantly less soluble than β-TCP. Implanted unsintered β-TCMP showed osteoconductive properties associated with new bone formation. This study suggests that β-TCMP (sintered or unsintered), alone or in combination with other calcium phosphates, may be useful as biomaterials for bone repair and maybe useful in cases where s low r biodegradation than that of β-TCP is desired.
THE SURFACE- AND SIZE-DEPENDENT ELASTIC MODULI OF NANOSTRUCTURES

A theoretical model is presented to investigate the size-dependent elastic moduli of nanostructures with the effects of the surface relaxation surface energy taken into consideration. At nanoscale, due to the large ratios of the surface-to-volume, the surface effects, which include surface relaxation surface energy, etc., can play important roles. Thus, the elastic moduli of nanostructures become surface- and size-dependent. In the research, the three-dimensional continuum model of the nanofilm with the surface effects is investigated. The analytical expressions of five nonzero elastic moduli of the nanofilm are derived, and then the dependence of the elastic moduli is discussed on the surface effects and the characteristic dimensions of nanofilms.
Pendampingan Strategi Marketing Digital dalam Mewujudkan Desa Wisata Religi di Desa Pajajar Kecamatan Rajagaluh Kabupaten Majalengka

The approach of this research is qualitative, using case study method. The data was obtained through in-depth interview, observation, literature study, and documentation. The data analysis steps used were data reduction, data display, and verification. The purpose of the research is to investigate the promotion strategy of the tourism village of Pajajar, Majalengka Regency performed by Kompepar Pajajar. The result of the research shows that Kompepar Pajajar performs promotion mix, i.e., word of mouth, public relations, personal selling, event, exhibition, merchandise, publication, and website. From overall promotion strategy applied by Kompepar Pajajar, the main priority was through event and public relations. The conclusion of this research is Kompepar Pajajar has not formulated comprehensive and integrated promotion strategy Abstrak Penelitian ini menggunakan pendekatan kualitatif melalui metode studi kasus. Data diperoleh melalui wawancara mendalam, observasi, studi literatur, dan dokumentasi. Adapun langkah-langkah analisis data meliputi reduksi data, penyajian data, dan verifikasi. Tujuan pelaksanaan penelitian ini adalah untuk mengetahui strategi promosi desa Pajajar, Kabupaten Majalengka yang dijalankan oleh Kelompok Penggerak Pariwisata (Kompepar) Desa Pajajar. Berdasarkan hasil penelitian yang diperoleh, Kompepar Desa Pajajar menjalankan promotion mix yang meliputi word of mouth, public relations, personal selling, event, eksibisi, merchandise, publikasi, dan website internet. Dari keseluruhan bentuk promosi, prioritas utama promosi dilakukan melalui event dan public relations. Dalam penelitian ini disimpulkan bahwa Kompepar Desa Pajajar belum merumuskan strategi promosi secara komprehensif dan terintegrasi.
Village Innovation Based on Community:

Discussions on village innovation have become the most recent topic. Village innovation is a great hope for social change that encourages community welfare. The creativity of the village government requires the support of other entities that produce a large force for change. Collaboration between actors at the village level must be carried out, non-profit organizations and the community must be in harmony with the village government. The design of the framework of relations between actors in each village is unique to one another. The implementation of community-based village innovation must fulfill the principles of: participatory, transparency and accountability, collaborative, sustainable, and fair and equal. This paper reveals village innovation with local spirit and stakeholder work collaboration lessons from Banyuwangi Regency Indonesia. Village innovations in Banyuwangi Regency include improving quality of villagescale public service, strengthening the community's economy based on local potential, and improving the welfare of local
Antimyostatin Treatment in Health and Disease: The Story of Great Expectations and Limited Success

In the past 20 years, myostatin, a negative regulator of muscle mass, has attracted attention as a potential therapeutic target in muscular dystrophies and other conditions. Preclinical studies have shown potential for increasing muscular mass and ameliorating the pathological features of dystrophic muscle by the inhibition of myostatin in various ways. However, hardly any clinical trials have proven to translate the promising results from the animal models into patient populations. We present the background for myostatin regulation, clinical and preclinical results and discuss why translation from animal models to patients is difficult. Based on this, we put the clinical relevance of future antimyostatin treatment into perspective.
A New Method to Bound the Integrity Risk for Residual-Based ARAIM

This article develops a tight integrity risk bound for residual-based (RB) advanced receiver autonomous integrity monitoring (ARAIM). ARAIM measurement models include nominal biases accounting for unknown but bounded errors, and faults of unbounded magnitude. In RB methods, upper bounding the integrity risk requires that one finds the worst-case directions of both the multisatellite fault vector and of the all-in-view nominal bias vector. Previous methods only account for the worst-case fault direction assuming zero nominal bias. To address this issue, in this article, we derive a new bounding method in parity space. The method establishes a direct relationship between mean estimation error and RB test statistic noncentrality parameter, which accounts for both faults and nominal errors. ARAIM performance is evaluated to quantify the improvement provided by the proposed method over previous approaches.
MEDAC: A Metastability Condition Detection and Correction Technique for a Near-Threshold-Voltage Multi-Voltage-/Frequency-Domain Network-on-Chip

This article presents a technique titled metastability condition detection and correction (MEDAC) that is featured in a near-threshold voltage (NTV) network-on-chip (NoC) hardware. The proposed technique introduces a double-sampling-based circuitry to detect whether the input data arrives too close to the receiver’s clock edge, which is defined as a metastability condition. The MEDAC also contains a metastability condition mitigation scheme to monitor if the occurrence of such metastability conditions is frequent, and adaptively tune the receiver’s clock phase to increase the mean time between metastability conditions. We prototype a test chip of the NoC in a 65-nm low-power process, which supports four independent voltage/frequency (V/F) domains in globally asynchronous locally synchronous (GALS) systems. Measurements across 0.4–1-V supply voltages with 13 different frequency ratios from 0.25 to 4 show that the MEDAC can well detect the metastability conditions and reduce the probability of entering such conditions by one to three orders of magnitude. This reduction, in turn, reduces the potential incorrect packets, thereby improving the data rate and energy efficiency by up to 21.1% and 27.2%, respectively.
Non-target genetic manipulation induces rhabdomyosarcoma in KrasPten-driven mouse model of ovarian cancer

Background Genetically engineered mice are ideal models to advance our understanding the tumorigenesis of ovarian cancer. Our original objective was to establish an ovarian cancer model induced by Kras activation and Pten deletion. However, proficiently establishing the model remains a technical problem, which limits its application. Methods We established the Kras activation/Pten deletion-induced mouse model of ovarian cancer by injecting Cre recombinase-expressing adenovirus in the ovarian bursa. PCR analysis, Western blotting, and immunohistochemistry staining were performed to verify the alteration of conditional genes. We detected expression of canonical molecular markers in order to examine the origin of the tumors. Results Subcutaneous lumps developed accidentally in mice with ovarian cancer, as early as 2 weeks post in vivo genetic manipulation, far before the destructive growth of ovarian cancer. PCR analysis confirmed the efficient Cre-mediated recombination of Kras and Pten in tumor tissues, which are consistent with the activation of the MAPK and PI3K/Akt/mTOR pathways. Histomorphological and histological analysis showed that the lumps were actually rhabdomyosarcoma (RMS). We confirmed that the leakage of adenovirus transformed healthy adjacent tissues into RMS. Conclusions Avoiding accidental exposure of non-target tissues to adenovirus is crucial to successfully establish the ovarian cancer mouse model. Moreover, non-specific genetic manipulations can induce the development of RMS.
SYNTHESIS, SPECTROSCOPIC CHARACTERIZATION AND X-RAY ANALYSIS OF 6-NITROQUINAZOLINE-2,4(1H,3H)-DIONE

In this work, 6-nitroquinazoline-2,4(1H,3H)-dione was obtained in two step with good yields using a facile synthetic method. Its structure was characterized by X-ray single crystal diffraction technique (XRD), IR, 1D-NMR (1H-NMR and 13C-NMR) and 2D-NMR (H-H COSY and H-C HMBC) spectroscopy. All N and O carbonyl atoms are involved in hydrogen bonding, with an average H···O distance of 1.89(2) A and N—H···O angles in the range 169.5(2)-177.2(2)°. In the crystal packing the molecules are associated by two strong intermolecular N—H∙∙∙O hydrogen bonds forming centrosymmetric ring with graph-set motif R2 2 (8), which are linked by N—H∙∙∙O hydrogen bonds.
Effects of laparoscopy and laparotomy on stress and hemodynamics in experimental sepsis model in rats

Aim: Laparoscopic abdominal surgery leads to reduced inflammatory response compared with laparotomy. However, there is controversial approaches are present in abdominal diseases complicated by diffuse or localized peritonitis. Materials and Methods: Experimental cecal ligation and puncture method is used in the study. A total of 24 rats were used in the study. We divided all rats randomly four groups: control, sepsis, laparotomy and laparoscopy. After sepsis model was applied, we took blood samples and lung and liver samples as well. In plasma samples we determined 8-OHdG, 3-Nitrotyrosine, HNE, PGF-2 α via ELISA methods. The tissue samples were analyzed since the amount of blood samples were inadequate in all subjects. We measured MPO activity to assess the neutrophil infiltration rates. Results: 3-NT mean values in laparotomy and laparoscopy groups were found to be almost the same while the difference between sepsis and laparoscopy groups was statistically significant (p =0.015) and decreased in the group undergoing laparoscopy. MPO levels obtained in rats underwent laparoscopy in liver tissue were found to be lower when compared with control and laparotomy groups and the difference between them was statistically significant. Also, MPO levels was found higher in sepsis laparotomy model as compared sepsis laparoscopy models. Conclusion: Laparoscopy is accepted as golden standard in several elective procedures, since it is less stressful. Our results indicate that laparoscopy is superior to laparotomy in terms of inflammatory response in sepsis and should be preferred in septic patients .
Social network big data analysis as a tool for preventing extremism on the Internet in the interests of sustainable development

The crisis caused by the COVID-19 pandemic, as well as the migration policies of various countries around the world, lead to the radicalization of the most marginal social groups, including right - wing extremists. Due to the development of information technologies, right-wing extremists receive new channels for spreading their destructive ideas. Since the main users of data networks are young people, primarily schoolchildren and students, the prevention of extremism in public social media is particularly relevant. The authors of the article believe that an effective tool for preventing extremism is the collection and processing of data on the activity of right-wing radicals in social networks. Such work, according to the authors, can not only increase the effectiveness of identifying extremists on the Internet, but also establish productive interaction with the main target audience of social media - young people. In the interests of sustainable development, it is necessary to cooperate with authorities, technical specialists, and educational institutions in order to develop a unified policy to counter extremism both in the Sverdlovsk region and in Russian Federation and around the world.
Clay-Polymer Nanocomposites: Preparations and Utilization for Pollutants Removal

Nowadays, people over the world face severe water scarcity despite the presence of several water sources. Adsorption is considered as the most efficient technique for the treatment of water containing biological, organic, and inorganic contaminants. For this purpose, materials from various origins (clay minerals, modified clays, zeolites, activated carbon, polymeric resins, etc.) have been considered as adsorbent for contaminants. Despite their cheapness and valuable properties, the use of clay minerals as adsorbent for wastewater treatment is limited due to many factors (low surface area, regeneration, and recovery limit, etc.). However, clay mineral can be used to enhance the performance of polymeric materials. The combination of clay minerals and polymers produces clay-polymers nanocomposites (CPNs) with advanced properties useful for pollutants removal. CPNs received a lot of attention for their efficient removal rate of various organic and inorganic contaminants via flocculation and adsorption ability. Three main classes of CPNs were developed (exfoliated nanocomposites (NCs), intercalated nanocomposites, and phase-separated microcomposites). The improved materials can be explored as novel and cost-effective adsorbents for the removal of organic and inorganic pollutants from water/wastewater. The literature reported the ability of CPNs to remove various pollutants such as bacteria, metals, phenol, tannic acid, pesticides, dyes, etc. CPNs showed higher adsorption capacity and efficient water treatment compared to the individual components. Moreover, CPNs offered better regeneration than clay materials. The present paper summarizes the different types of clay-polymers nanocomposites and their effective removal of different contaminants from water. Based on various criteria, CPNs future as promising adsorbent for water treatment is discussed.