Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Host Marble Rocks on the Formation of Intrusive Alkaline Rocks and Carbonatites of Sangilen (E. Siberia, Russia)

The study of the O and C isotope composition of calcite from nepheline syenites, ijolites and carbonatites of the Chik intrusion and the intrusions of the Erzin–Tarbagatay group of Sangilen (Eastern Siberia, Russia) showed derivation from alkaline melts enriched with a carbonate component from the host marbleized sedimentary rocks. The calculations showed that about 40% of the initial mass of carbonates involved in the interaction with silicate melts have remained after decarbonation. During the assimilation of the carbonate, an oxygen isotope exchange took place between the residual carbonate material and the silicate phase. Crystallization products of such hybrid magmas are carbonatite veins, calcite-rich nepheline rocks and their pegmatites with a calcite core.
Nano-Enhanced Phase Change Materials in Latent Heat Thermal Energy Storage Systems: A Review

Latent heat thermal energy storage systems (LHTES) are useful for solar energy storage and many other applications, but there is an issue with phase change materials (PCMs) having low thermal conductivity. This can be enhanced with fins, metal foam, heat pipes, multiple PCMs, and nanoparticles (NPs). This paper reviews nano-enhanced PCM (NePCM) alone and with additional enhancements. Low, middle, and high temperature PCM are classified, and the achievements and limitations of works are assessed. The review is categorized based upon enhancements: solely NPs, NPs and fins, NPs and heat pipes, NPs with highly conductive porous materials, NPs and multiple PCMs, and nano-encapsulated PCMs. Both experimental and numerical methods are considered, focusing on how well NPs enhanced the system. Generally, NPs have been proven to enhance PCM, with some types more effective than others. Middle and high temperatures are lacking compared to low temperature, as well as combined enhancement studies. Al2O3, copper, and carbon are some of the most studied NP materials, and paraffin PCM is the most common by far. Some studies found NPs to be insignificant in comparison to other enhancements, but many others found them to be beneficial. This article also suggests future work for NePCM and LHTES systems.
Vibrational spectroscopy of tolane; Coriolis coupling between Raman-active modes of g symmetry

ABSTRACT Vibrational spectroscopy of tolane (diphenylacetylene), which has 66 normal modes, has been advanced. Anharmonic wavenumber predictions were made with the quartic potential energy surface obtained with B3LYP/cc-pVTZ model and the second-order perturbation theory (VPT2). Infrared (IR) intensity and Raman activities were computed at the harmonic level. The IR spectrum of the crystal and Raman spectra of the liquid and the crystal tolane were newly recorded. The lingering problem of an excess of polarised Raman bands at wavenumbers appropriate for fundamentals, other than ag modes, has now been attributed to Coriolis coupling within modes of g symmetry species. Consequently, D2h point symmetry group has been confirmed for a planar tolane molecule. Assignments for almost all fundamentals of tolane are now secure. The assignment for ν32 remains questionable. Remaining unassigned fundamentals are: ν34 and ν35, which, as au symmetry species, are IR- and Raman-inactive transitions, and ν59(b2u), which is predicted to have a very low wavenumber. GRAPHICAL ABSTRACT
A BERT-based transfer learning approach to text classification on software requirements specifications

In a software development life cycle, software requirements specifications (SRS) writ- ten in an incomprehensible language might hinder the success of the project in later stages. In such cases, the subjective and ambiguous nature of the natural languages can be considered as a cause for the failure of the final product. Redundancy and/or controversial information in the SRS documents might also result in additional costs and time loss, reducing the overall efficiency of the project. With the recent advances in machine learning, there is an increased effort to develop automated solutions for a seamless SRS design. However, most vanilla machine learning approaches ignore the semantics of the software artifacts or integrating domain-specific knowledge into the underlying natural language processing tasks, and therefore tend to generate inaccurate results. With such concerns in mind, we consider a transfer learning approach in our study, which is based on an existing pre-trained language model called DistilBERT. We specifically examine the DistilBERT’s ability in multi-class text classification on SRS data using various fine- tuning methods, and compare its performance with other deep learning methods such as LSTM and BiLSTM. We test the performance of these models using two datasets: DOORS Next Generation dataset and PROMISE-NFR dataset. Our numerical results demonstrate that DistilBERT perform well for various text classification tasks over the SRS datasets and shows significant promise to be used for automating the software development processes.
Modeling the Contributions of Volatile and Char-Bound Nitrogen to the Formation of NOx Species in Iron Ore Rotary Kilns

Given that more stringent NO x emission limits are expected in the near future, several industrial processes are in need of NO x mitigation measures. The Grate-Kiln process, applied in the iron ore industry, is one such process. NO x formation is inherently high in the process, and due to the combustion conditions, several standard mitigation strategies are impractical. Alternative solutions are thus needed. The current paper aims at developing a model capable of describing the NO formation under conditions relevant in iron ore rotary kilns and to identify governing parameters that may be modified for mitigation purposes. The developed model uses detailed reaction modeling for the homogeneous combustion chemistry combined with simpler modeling with apparent kinetics for the heterogeneous chemistry. The main findings are that thermal NO is of low significance and that the NO formation during char combustion is the main contributor to the high NO x emissions. Attempting to control the partitioning between the volatile nitrogen and the char-bound nitrogen is suggested as a mitigation strategy, since the combustion of char is challenging to control compared to the combustion of volatiles.
Ex-Situ Induction of Sprouting on Euadenia trifoliolata Cuttings Harvested from Four Pedoclimatic Areas of Côte d'Ivoire

Euadenia trifoliolata (Capparaceae) is a tropical forest plant. It is used in the pharmacopoeia for its medicinal properties and for that it is overexploited. Information on propagation techniques of E. trifoliolata domestication and its wild management are still missing. The study conducted on nurseries aimed to obtain some young plants from cutting stems.
Numerical calculation of Kossel diagrams of cholesteric blue phases

Kossel diagrams visualize the directions of strong Bragg reflections from a specimen with periodic ordering. They have played a pivotal role in the determination of the symmetry of cholesteric blue phases, and in the investigation of their structural changes under an electric field. In this work, we present direct numerical calculations of the Kossel diagrams of cholesteric blue phases by solving the Maxwell equations for the transmission and reflection of light incident upon a finite-thickness blue phase cell. Calculated Kossel diagrams are in good agreement with what is expected as a result of Bragg reflections, although some differences are present.
Supply chain governance: a conceptual model

Purpose This paper aims to clarify ambiguous results from previous research on the relationship between contextual factors, trust and supply chain governance (SCG). Design/methodology/approach This study carried out a systematic literature review in 11 databases, with articles published until 2018. Afterward, this study conducted a thematic analysis in 60 articles to address the contextual factors, governance structures and trust approaches raised in previous research. Findings The thematic analysis revealed that seven contextual factors influence the choice of contractual and relational mechanisms in supply chains: relationship history, environmental uncertainty, perceived risk, perceived justice, asset specificity, power asymmetry and interdependence. The findings explained the ambiguous results of past research by proposing that contractual and relational governance are complementary and that the presence of trust (affective and competence-based) moderates the relationship between contextual factors and SCG. Originality/value This research advances the SCG literature by proposing trust (affective and competence-based) as a moderating variable that fosters governance mechanisms in supply chain relationships.
A Pipeline-TDC-Based CMOS Temperature Sensor with a 48 fJ·K2 Resolution FoM

An energy-efficient temperature sensor is important for temperature monitoring in Biomedical Internet-of-things (BIoT) applications. This article presents a time-domain temperature sensor with a pipeline time-to-digital converter (TDC). A programmable-gain time amplifier (PGTA) with high linearity and wide linear range is proposed to improve the resolution of the sensor and to reduce the chip area. The conversion time of the sensor is reduced by the fast TDC that only needs ~26 ns/conversion, which means the sensor is suitable for BIoT applications that commonly use duty cycling mode. Fabricated in a 40 nm standard CMOS technology, the sensor consumes 7.6 μA at a 0.6 V supply and achieves a resolution of 90 mK and a sensitivity of 0.62%/°C in a 1.3 μs conversion time. This translates into a resolution figure-of-merit of 48 fJ·K2. The sensor achieves an inaccuracy of 0.39 °C from −20 °C to 80 °C after two-point calibration. Duty cycling the sensor results in an even lower average power: ~18.6 nW at 10 conversions/s.
Acidic Derivatives of Melamine as Template in Copolymerization of Aniline and Metanilic Acid

ABSTRACT In this paper, new polymer composites were synthesized by template copolymerization of aniline and metanilic acid in the presence of prepared melamine triacetic acid and poly(melamine-co-citric acid) as polyacids and dopants. The properties of the poly(aniline-co-metanilic acid) composites were studied by Fourier transform infrared, X-ray diffraction, scanning electron microscope, CV, and differential scanning calorimeter analysis. The four-point probe technique was used for evaluating the electrical conductivity of the composites. The scanning electron micrographs disclosed that the products had the morphology with agglomerated distorted spherical shapes with the average size of 40–50 nm. Also, the solubility of the composites had been improved notably in organic solvents. GRAPHICAL ABSTRACT
Bounding Attachment Pada Ibu Yang Dilakukan Inisiasi Menyusu Dini

Judul : Bounding Attachment Pada Ibu Yang Dilakukan Inisiasi Menyusu DiniTujuan : Untuk melihat gambaran Bounding Attachment pada Ibu yang dilakukan Inisiasi Menyusu Dini.Metode Penelitian : Penelitian ini menggunakan metode penelitian kualitatif dengan teknik pengumpulan data melalui wawancara mendalam (Indept Interview) dan observasi.Hasil Penelitian : Hasil analisis data menunjukkan bahwa Bounding attachment pada ibu yang dilakukan IMD dalam waktu 1 jam dengan yang dilakukan IMD 30 menit mempunyai interaksi yang berbeda. Ibu yang dilakukan IMD selama 1 jam penuh mempunyai interaksi yang baik. Hal ini diketahui dari hasil wawancara mendalam serta berdasarkan hasil observasi interaksi ibu terhadap bayinya. Sedangkan pada ibu yang dilakukan IMD kurang dari 1 jam belum dapat berinteraksi secara baik. Hal ini dapat diketahui dari hasil wawancara mendalam dilihat dari interaksi antara bayi dan ibunya yang kurang karena pada prinsipnya IMD dilakukan paling sedikit 1 jam pertama kelahiran.
Discrete-Time Position Control for Autonomous Underwater Vehicle under Noisy Conditions

This paper deals with the discrete-time position control problem for an autonomous underwater vehicle (AUV) under noisy conditions. Due to underwater noise, the velocity measurements returned by the AUV’s on-board sensors afford low accuracy, downgrading its control quality. Additionally, most of the hydrodynamic parameters of the AUV model are uncertain, further degrading the AUV control accuracy. Based on these findings, a discrete-time control law that improves the position control for the AUV trajectory tracking is presented to reduce the impact of these two factors. The proposed control law extends the Ensemble Kalman Filter and solves the problem of the traditional Ensemble Kalman Filter that underperforms when the hydrodynamic parameters of the AUV model are uncertain. The effectiveness of the proposed discrete-time controller is tested on various simulated scenarios and the results demonstrate that the proposed controller has appealing precision for AUV position tracking under noisy conditions and hydrodynamic parameter uncertainty. The proposed controller outperforms the conventional time-delay controller in root-mean-square error by a percentage range of approximately 72.1–97.4% and requires at least 89.5% less average calculation time than the conventional model predictive control.
Faktor Yang Mempengaruhi Keberlanjutan Minat Pengguna Dalam Menggunakan Aplikasi Mhealth Melalui Variabel Satisfaction

The use of internet and smartphone has evolved. The rapid growth of innovation in technology allows them to become a high-functioning service provider through many of the applications available to help out humans fulfilling their needs. People demand quick and instant service provision, including health service. Applications based on mHealth technology are made to serve that demand. This research aims to examine the effects of intervening variables such as perceived usefulness, perceived ease of use, trust in application, and satisfaction on consumers’ continuance intention to use mHealth technology. This research employs a quantitative method to assess primary data samples taken from the users of Halodoc health service application in Java. The results of this research show that the trust and perceived usefulness variables do not significantly affect consumers’ continuance usage intention. Only the perceived ease of use and satisfaction variables yield a significant impact on consumers’ continuance usage intention. Hopefully, these results can be a valuable insight for PT Media Dokter Investama to enhance their service to attract more mHealth technology users to use Halodoc.
PENETAPAN KADAR SAKARIN, ASAM BENZOAT, ASAM SORBAT, KOFEINA, DAN ASPARTAM DI DALAM BEBERAPA MINUMAN RINGAN BERSODA SECARA KROMATOGRAFI CAIR KINERJA TINGGI

As the food and beverages industry grows in Indonesia, there also has been an increase in the soft-drinks production in the society. There are elements often added into the drinks; such as caffeine, artifical sweetener and preservatives,which the content should be monitored. Because, if they are over-used, they will be hazardous to health. The purpose of this research is to obtain the optimum analysis condition for determining the content of saccharin, aspartame, benzoic acid, sorbic acid and caffeine, which are in the soft-drinks, using the reversed phase High-Performance-Liquid-Chromatography (HPLC). In this study, the condition used are Latek 18 column (15 cm x 4.0 mm), mobile phase as a mixture of acetonitrile and acetat buffer pH 5(5:95), flow rate 1,0 ml/minutes and detected by a 254 nm length-wave. The detection limit discovered by this method are for saccharin, benzoic acid, sorbic acid, caffeine and aspartame, respectively, are 0,2 ppm; 0,2 ppm; 0,007 ppm; 0,142 ppm; and 6,5 ppm. Whereas, the quantitative limit for saccharin, benzoic acid, sorbic acid, caffeine and aspartame, respectively, are 0,689 ppm; 0,852 ppm; 0,027 ppm; 0,452 ppm; 25,2 ppm. The calibration curve ranged between 1-60 ppm for saccharin and benzoid acid, 1-40 ppm for caffeine, 0.05-2 ppm for sorbic acid, and 30-100 ppm for aspartame. The investigation has been done for five (5) brands of soft-drinks. The analysis results are sample A contains caffeine 96,66 ppm, sample B contains saccharin 112,13 ppm, benzoic acid 206,81 ppm, and caffeine 130,63 ppm. Sample C contains benzoic acid 10,83 ppm and caffeine 97,66 ppm. Sample D contains benzoic acid 163,78 ppm, caffeine 101,52 ppm, and aspartame 231,20 ppm. The amounts of saccharin, benzoic acid, caffeine, and aspartame which has been found in the sample, do not exceed the tolerance limit of USAge, whereas the amount of benzoic acid which has been found in sample B exceed the tolerance limit of USAge.
Studies on Biomass Yield, Morphological Characteristics and Nutritive Quality of Napier Cultivars under Two Different Geo-Topographic Conditions of Bangladesh

The aim of the present study was to evaluate the performance of Napier cultivars in terms of forage yield, plant morphology and nutrient contents under two different agro-ecology and geo-topographic conditions. Three Napier cultivars being conserved by Bangladesh Livestock Research Institute (BLRI), namely-BLRI-Napier 1, (BN-1), BLRI-Napier 3 (BN-3) and Merkeron (BN-5) were selected to cultivate in severe drought prone areas (called Barind) and non-drought area at Savar (Modhupur terrace). Stem cuttings were planted in rows apart from 70 cm and 35cm spacing between plants. Data of 6 consecutive harvests from a period of approximately one year were collected and analyzed statistically by “R” software. The results showed that cultivar and location had a significant (P were significantly varied with locations. BN-3 yielded the highest biomass (33.32 t/ha/harvest) at non-drought location (42.98 t/ha/harvest). The highest plant height was obtained in BN-1 (171.2 cm) at non-drought location (174.6 cm). Number of tillers per hill ranged from 25.4 to 26.3 among cultivars (P > 0.05) and the highest tillers were found at non-drought location (28.1 no). The best LSR was estimated from BN-5 (0.86) at drought location (0.95). The proximate analysis showed that CP, ADF and NDF in whole plant were varied significantly (P 0.05) among cultivars which ranged from 15.80% to 17.13% and 13.10% to 14.58%, respectively. The highest CP content in whole plant was obtained at non-drought location (11.89%), while the lowest ash (10.57%) and NDF (52.71%) contents were obtained at the same location. The highest CP contents in leaf were found at non-drought (15.03%) and the lowest ash (9.86%) at the same location. The highest CP contents (5.90%) in stem were found at non-drought location, while the lowest ash (11.28%) and NDF (54.59%) contents were obtained at the same location. Finally, the experiment reveals the superiority in biomass yield and nutritional quality (in terms of CP content) with the ranking orders of BN-3 > BN-1 > BN-5 and BN-1 > BN-3 > BN-5. Therefore, it may be concluded that BN-1, BN-3, and BN-5 cultivars were well adapted in both drought and non-drought conditions, although performance showed better in later conditions. However, in terms of forage yield and overall nutrient composition, the performance of BN-3 was the best irrespective of locations.
Multi-Asset Option Pricing Using Normal Tempered Stable Processes with Stochastic Correlation

In this article, the authors develop a new multi-asset option pricing model where underlying dynamics are assumed to follow the normal tempered stable (NTS) process and its correlation structure evolves over time. The model is constructed by extending the constant correlation term in the previous NTS framework to the stochastic correlation making use of the Ornstein-Uhlenbeck process. We then derive its closed-form solution under the risk-neutral measure and apply it to an empirical study of a quanto option. The in-sample tests and calibration practices justify our model specification reflecting the empirical stylized facts on asset returns such as heavy tails, skewness, kurtosis, and stochastic correlation. Building on the empirical results, we can also identify the presence of stochastic correlation in the risk-neutral world.
Investigation of the fifth generation non-orthogonal multiple access technique for defense applications using deep learning

In modern wireless communication scenarios, non-orthogonal multiple access (NOMA) provides high throughput and spectral efficiency for fifth generation (5G) and beyond 5G systems. Traditional NOMA detectors are based on successive interference cancellation (SIC) techniques at both uplink and downlink NOMA transmissions. However, due to imperfect SIC, these detectors are not suitable for defense applications. In this paper, we investigate the 5G multiple-input multiple-output NOMA deep learning technique for defense applications and proposed a learning approach that investigates the communication system’s channel state information automatically and identifies the initial transmission sequences. With the use of the proposed deep neural network, the optimal solution is provided, and performance is much better than the traditional SIC-based NOMA detectors. Through simulations, the analytical outcomes are verified.
Finite-Time Fuzzy Adaptive Constrained Tracking Control for Hypersonic Flight Vehicles With Singularity-Free Switching

This article proposes a fuzzy adaptive design solving the finite-time constrained tracking for hypersonic flight vehicles (HFVs). Actuator dynamics and asymmetric time-varying constraints are considered when solving this problem. The main features of the proposed design lie in 1) introducing a novel piecewise but differentiable switching control law, with an appropriate design thought to avoid the singularity issues typical of finite-time control; 2) handling actuator magnitude, bandwidth, and rate constraints, thanks to the introduction of an auxiliary compensating system counteracting the adverse effects caused by actuator physical constraints, while guaranteeing the closed-loop stability; and 3) handling asymmetric time-varying state constraints, thanks to the introduction of tan-type barrier Lyapunov functions working for both constrained and unconstrained scenarios. Comparative simulation results illustrate the effectiveness of the proposed strategy over existing methods for HFVs in terms of convergence, smoothness, actuator performance, and constraints satisfaction.
A Solution of the Cosmological Constant and DE Using Breakup of Primordial Black Holes, via a Criteria Brought up by Dr. Freeze of Austin, Texas, Which Initiates DE as Linked to Inflation

We reduplicate the Book “Dark Energy” by M. Li, X-D. Li, and Y. Wang, given zero-point energy calculation with an unexpected “length” added to the “width” of a graviton wave just prior to specifying the creation of “gravitons”, while using Karen Freeze’s criteria as to the breakup of primordial black holes to give radiation era contributions to GW generation. The GW generation will be when there is sufficient early universe density so as to break apart Relic Black holes of the order of Planck mass (1015 grams) which is about when the mass of relic black holes is created, 10-27 or so seconds after expansion starts. Needles to state a key result will be in the initial potential V calculated, in terms of other input variables.