Miracle-dz/UniFAR-FTUs huggingface dataset:
Saccharomyces cerevisiae and newly isolated Candida boidinii co-fermentation of industrial tea waste for improved bioethanol production

ABSTRACT Although bioethanol is a suitable alternative to fossil-based fuels, limited technologies or lack of microorganisms with a broad substrate spectrum are serious bottlenecks for lignocellulosic ethanol production. In this context, the current study aimed to optimize bioethanol production from industrial tea waste by applying co-fermentation strategy for the first time. For this purpose, newly isolated xylose fermenter Candida boidinii and Saccharomyces cerevisiae produced 12.1 g/L and 14.1 g/L bioethanol, respectively, when the yeasts were cultivated alone in 20% (w/v) dilute acid pretreated and enzymatically hydrolyzed industrial tea waste. Bioethanol production increased to 21.9 g/L, and 70% improvement was achieved when the co-fermentation strategy was applied under the same conditions. This study shows that co-fermentation of industrial tea waste is an economically viable choice for value-added bioethanol production.
Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions

This research is aimed at predicting the physical stability for amorphous solid dispersion by utilizing deep learning methods. We propose a prediction model that effectively learns from a small dataset that is imbalanced in terms of class. In order to overcome the imbalance problem, our model performs a hybrid sampling which combines synthetic minority oversampling technique (SMOTE) algorithm with edited nearest neighbor (ENN) algorithm and reduces the dimensionality of the dataset using principal component analysis (PCA) algorithm during data preprocessing. After the preprocessing, it performs the learning process using a carefully designed neural network of simple but effective structure. Experimental results show that the proposed model has faster training convergence speed and better test performance compared to the existing DNN model. Furthermore, it significantly reduces the computational complexity of both training and test processes.
Preparation of zeolite A by inorganic complex precursor route for efficient elimination of heavy metal cations from aqueous solutions

Abstract In the present study, zeolite A was synthesized via inorganic complex precursor as an efficient novel route by using tris(acetylacetonato)aluminum(III), [Al(C5H7O2)3], and tris(acetylacetonato)silicon(IV) chloride hydrochloride, [Si(C5H7O2)3]Cl.HCl. The physicochemical properties of the zeolite A were characterized by FT-IR, XRD, SEM/EDX, BJH, and BET techniques. The performance of the synthesized zeolite A was evaluated for the elimination of heavy metal cations (Co2+, Cu2+, Zn2+, Cr3+ and Pb2+) from aqueous solutions. The results revealed that removal efficiencies of the synthesized zeolite A toward all investigated heavy metal cations were obtained to be more than 95% and the maximum removal efficiency was observed for Pb2+. The influence of parameters such as pH, contact time and adsorbent amount was surveyed on the removal efficiency of Pb2+ by the zeolite A. The most desirable conditions for Pb2+ removal was attained at pH 6.5, the zeolite amount of 0.5 g, 400 mgL−1 initial concentration of Pb2+ and the contact time of 30 min. The adsorption process followed second- order kinetics model and the pseudo-second-order adsorption rate constant (k 2) was obtained to be 4.32 × 10−4 g mg−1min−1.
Radiographic study of the rhizogenesis in Brazilian adolescents and its contribution to dental age estimation

When applied to the examination of the living, methods for dental age estimation are based on clinical (visual or direct) or radiographic (radiographic or indirect) analyses. Two-dimensional (2D) techniques, such as panoramic radiography, or three-dimensional (3D) imaging modalities, such as cone-beam computed tomography, enable the visualization of multiple anatomical structures simultaneously. The development of each structure contributes to the age estimation process by providing age information. This study tested the performance of age information from rhizogenesis for age estimation. The sample consisted of panoramic radiographs of 568 female (n = 284) and male (n = 284) individuals, aged between 12 and 17.99 years. Tooth development was classified according to Demirjian et al. (1973) technique, and the age was calculated with the method of Willems et al. (2001). The average chronological age of each individual was compared with the estimated dental age, allowing the quantification of the error of the method for each age group at intervals of one year each. For both sexes, there was an overestimation of the chronological age in the age group of 12 |— 14.99 years, while age was underestimated in the age group of 16 |— 17.99 years (p < 0.0001). Statistically significant differences between sexes were observed in the age group of 15 |— 17.99 years (p < 0.05). The increasing error of the method in the late stages of root formation suggests that age information from the scarce remaining apical development of the permanent dentition may not be appropriate enough for sufficiently accurate forensic examinations.
Research on Photovoltaic Grid-Connected Power Control System

According to the control method of photovoltaic grid-connected system,the ultimate principle of solar battery is analyzed,the power output characteristic of solar battery is given,in order to change the solar energy into electric energy with maximal efficiency,a tactics based on conductance and incremental of maximum power point trail of the solar battery is given.For the photovoltaic grid inverter,a full bridge inverter circuits is used,the input of the DC side is votage source,the output of the AC side is current source,and which is controlled by the Hysteresis comparison control,at last,a simulation model of the photovoltaic grid-connected system is built,the result show that grid current can track the voltage well.
How I Manage Patients with Chronic Myeloid Leukemia (CML): Perspectives from Clinical Practice

Abstract The management of chronic myeloid leukemia (CML) has remarkably changed in the last 20 years with the availability of tyrosine kinase inhibitors (TKI). Most patients with chronic phase CML now have a life expectancy like that of age matched controls. Understanding the practical aspects of choosing the appropriate TKI, monitoring response and side-effects are key to long term success. Currently, treatment cessation is also an option in patients achieving sustained deep molecular response. Novel agents are needed in patients with lack of response to TKI and in those with advanced disease.
Automatic classification of medicinal materials based on three-dimensional point cloud and surface spectral information

Chinese herbal medicine plays an irreplaceable role in modern medicine at the moment. The recognition of the species of Chinese medicine is the precondition for drug development. The classification and recognition of Chinese herbal medicine relied on manual work, and the highest rate is about 70%. Most automatic recognition studies were based on two-dimensional imagines of Chinese herbal medicine for classification, while other studies used spectral information. These methods for kinds of Chinese herbal medicine was relatively single, and the band range was narrow, which ignored the three-dimensional structure characteristics. The accuracy, variety and efficiency of their recognition need to be improved. This paper first extract the spatial structure characteristic and ground object spectrum information of Chinese herbal medicine by 3D point cloud data and electromagnetic objects spectrum data. The classical classification model of deep neural network PointNet is used to classify the 3D point cloud data of Chinese herbal medicine, the object spectrum data is used to match and classify the spectral feature, and then verified by correlation coefficient method. This paper conduct a classification experiment by using the self-built data set containing seven kinds of Chinese herbal medicine. The results show that the overall accuracy of the test using PointNet for the automatic classification of seven kinds of Chinese herbal medicine at the same time can reach 86.3%, while the classification of the object spectrum verified by correlation coefficient method can reach 98%. Experiments have proved that the accuracy and the types of Chinese herbal medicine processed are superior to previous methods. This method can be used to identify Chinese herbal medicine and improve the production efficiency.
Synthesis, structural characterization, electrochemical and photocatalytic properties of vanadium complex anchored on reduced graphene oxide

Abstract In this work, vanadium complex anchored reduced graphene oxide (rGO-VO) was successfully synthesized by coordination interaction with phenyl azo salicylaldehyde (PAS) coupled trimethoxy silyl propanamine (TMSPA). The physicochemical and microscopic properties of rGO-VO were studied with different analytical techniques such as Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, Scanning electron microscopy (SEM), and Transmission electron microscopy (TEM) which confirmed the synthesis of rGO-VO. The electrochemical studies of rGO-VO in glassy carbon electrode demonstrated high current density because of the amazing electrochemical properties of rGO. The photocatalytic studies of anchored rGO-VO and VO(acac)2 toward MB dye indicated that anchored rGO-VO with visible light irradiated MB was degraded fast as compared to VO(acac)2.
Reliability of 2-Dimensional Video Analysis in Adolescent Runners

Background: The literature on the reliability of qualitative and quantitative measures for running video analysis in the adolescent population is limited. Reliability of 2-dimensional (2D) video analysis has been reported in adult runners, but these findings may not apply to youth runners. Purpose: We sought to determine the intra-rater and inter-rater reliability of sagittal and frontal plane kinematics using 2D video analysis in healthy adolescent runners. Methods: High-definition (1080p) videos were recorded of 10 healthy runners between 14 and 18 years old running on a treadmill at self-selected speed with markers attached to the cervical spine, pelvis, and lower extremities. Kinematic variables in the sagittal and frontal planes were measured using Dartfish Motion Analysis Software by 3 raters (2 sports medicine physical therapists and a research assistant). Intra- and inter-rater reliability were calculated using intraclass correlation coefficients (ICCs). Results: Of the 10 runners, 4 (40%) were male and the mean age was 16 ± 1.5 years. The intra-rater ICC for all kinematic variables ranged from 0.574 to 0.999 for the experienced physical therapist, and 0.367 to 0.973 for the inexperienced research assistant. The inter-rater ICC for all raters ranged from −0.01 to 0.941. Eleven kinematic variables showed substantial agreement and 4 showed almost perfect agreement. Step width and foot progression showed fair and poor agreement, respectively. Conclusions: Running analysis using 2D video can be performed reliably in adolescents on all kinematic variables except for step width and foot progression. Inexperienced raters can be properly trained in the video analysis of running kinematics to consistently assess the same runner.
Analysis of the HBV small S gene partial sequences and its implications for detection, prevention and treatment in Pakistani patients

Hepatitis B virus (HBV) causes significant morbidity and mortality throughout the world, especially in developing countries. In Pakistan, the HBV infection rate is one of the highest in the world and about one third of infected population is co-infected with hepatitis C virus (HCV) and hepatitis D virus (HDV). In the present study, we isolated HBV from 49 HBV mono-infected and 25 HBV/HCV co-infected Pakistani patients and classified them based on the partial sequences of S gene. We further investigated mutations in these sequences that might result in the failure of hepatitis B surface antigen (HBsAg) detection, as well as vaccination and treatment failure. The D and D1 were identified as the most prevalent HBV genotype and sub-genotype respectively in Pakistani samples. The same genotype/sub-genotype pattern was observed for the HBV/HCV co-infected patients. We identified several mutations in small S gene, which are previously reported to have roles in HBV diagnosis and treatment. Especially, the sT127P mutant, previously known to be implicated in vaccine escape, was prevalent with 98 and 96% frequencies in HBV mono-infected and HBV/HCV co-infected patients respectively. The findings of current study have implications with respect to prevention, diagnosis, and treatment of HBV infections in the Pakistani population.
Long‐term low dose nitisinone therapy in adults with alkaptonuria shows no cognitive decline or increased severity of depression

Little is documented on whether nitisinone‐induced hypertyrosinaemia alters cognitive functioning or leads to worsening depression in alkaptonuria (AKU). Wechsler Adult Intelligence Scale‐IV (WAIS‐IV) and Beck Depression Inventory‐II (BDI‐II) assessments were performed before and annually following treatment with nitisinone 2 mg daily to assess the impact on cognitive functioning and severity of depression. Serum tyrosine concentrations were also measured annually. WAIS‐IV: 63 patients (27 females/36 males: mean age[years] [±standard deviation, range] 55.7[13.7, 26–79]; 60.3[9.6, 19–75]) were included at baseline for assessment of: verbal comprehension (VC), perceptual reasoning (PR), working memory (WM), and processing speed (PS) using separate indices. Over the 6‐year period studied 43, 39, 36, 29, 26 and 15 patients had annual assessments. Using a longitudinal model (age and sex adjusted) no significant differences were observed in any of the indices over this period, apart from VC which showed a significant increase after adjustment for sex (p < 0.05). BDI‐II: 74 patients (32 females/42 males: mean age[years] [±standard deviation, range] 56.1[13.2, 26–79]; 42 males, 51.5[16.3, 19–70]) were included at baseline. Over the 7‐year period studied 48, 47, 38, 34, 32, 24 and 12 patients had annual assessments. No significant differences in BDI‐II scores were observed when compared to baseline. Hypertyrosinaemia was observed in all patients following treatment with nitisinone (p < 0.001, at all annual visits). Serum tyrosine was not correlated with WAIS‐IV sub‐test indices or BDI‐II scores pre‐ or post‐nitisinone therapy. These findings suggest that treatment with nitisinone does not affect cognitive functioning and or lead to increased severity of depression.
A Dual-Array Antenna System for 5G Millimeter-Wave Applications

Millimeter-wave (mm-Wave) technology has opened a new era of wireless communication systems in various fields like automotive, mobile devices, Internet of Things (IoT), military, medical, and others. The benefit of adopting the unconventional frequency spectrum of large bandwidth under an mm-Wave spectrum is the availability of large bandwidth and lesser chances of interferences from various technologies. In the recent 5G communication systems either cellular or other wireless applications, many researchers have focused on mm-Wave antennas and arrays. In this paper, a dual-array antenna system is designed for various 5G mm-Wave wireless applications. It has two arrays on the same substrate edges with a series feed line compact technique. The profile antenna system has two 1×16 arrays on the same substrate edges. Each array gives 17.3 dB and 16.4 dB simulated and measured gains and impedance bandwidth 31.30 GHz to 39 GHz at 38 GHz center frequency. The feature to use both arrays at the same time for two different applications within the operational band for same or different center frequencies makes this proposed dual-array antenna system a good candidate for 5G mm-Wave wireless IoT and broadcast applications.
Present and Future Uses of Methodology in Dairy Cattle Selection Index

Selection indexes have been extensively applied in the estimation of breeding value of dairy cattle for single traits as well as for combinations of traits for selection purposes. Milestones in methodology, such as multiple-trait evaluation procedures by BLUP, (co)variance component estimation, nonlinear models, discounted gene flow, dynamic programming, and international sire evaluations, together with increased computing power and the development of integrated AI and recording schemes, have contributed to efficient implementation of selection indexes and are reviewed in this article. Results of an international survey on evaluation practices and breeding programs are presented, demonstrating wide adoption of index selection for total merit and the need for further applications. Results from a simulation study on the efficiency of index selection for total merit are also presented; when the breeding goal includes, in addition to production traits, functional nonproduction traits such as mastitis resistance and fertility, failure to consider these traits in the selection index decreases efficiency 15 to 25%. Future applications are also discussed in view of advances in the areas of genome mapping, marker detection, and international comparisons. Further research should focus on functional
INDENTATION OF SANDWICHES USING A LAYERWISE MODEL WITH FIXED DEGREES OF FREEDOM

A zig-zag plate model with variable kinematics and fixed degrees of freedom recently developed by the authors is applied to study indentation of sandwiches with honeycomb/foam core, with the aim of reducing the computational burden. This model, which a priori fulfils the stresses and displacements continuity requirements, has a hierarchic representation of displacements, but just five degrees of freedom. The core crushing behaviour is determined apart once at a time in order to account for the variable elastic properties of the core during the structural analysis. Specifically, shell elements with elastic-plastic isotropic material are adopted to discretize the cellular structure and the faces, instead solid elements with nonlinear material behaviour are chosen to model foams. Once the properties of core are determined, the analysis is quickly carried out in closed form by the zig-zag model. As customarily, the onset of damage is determined using stress based criteria, while its growth is accurately and efficiently described using a mesoscale model. In this way, the degraded properties of the failed regions are evaluated with a physically based model, instead of guessing suited multiplication factors. The numerical results of simulations are shown to be in good agreement with experiments taken from the literature
Dual-Band Folded Monopole MIMO Antennas with Enhanced Isolation

In this paper, a compact dual-band multiple-input multiple-output (MIMO) diversity antenna is proposed. Each of the two MIMO antennas consists of two folded strips working as radiating elements that are fed by a microstrip line. The antennas operate in three WLAN bands: ISM 2.45 GHz, 5.25 GHz, and ISM 5.775 GHz. To improve the isolation at WLAN (2.4–2.48 GHz), two L-shaped slots are etched in the ground plane while a U-shaped slot is cut in the ground plane to enhance isolation at WLAN (5.15–5.35 GHz and 5.725–5.825 GHz). Three slots on the substrate between radiating patches are also employed for an extra reduction in the mutual coupling at 2.45 GHz. The antenna performance was examined by simulation employing CST Microwave Studio Software. The proposed antenna offers minimum isolation of more than 19.5 dB, a low envelope correlation coefficient (ECC) of less than 0.0016, and good radiation efficiency (∼∼80%) through the operating frequency bands. The antenna is compact, thin, and suitable for portable devices.
Propagation of Surcharge Conditions in Flowing Sewers

Previous experimental investigations on the issue of flow regime transition from free surface to pressurized flow in stormwater sewers have introduced extreme conditions to generate pipe-filling bore fronts. These conditions include the admission of large inflow into still water conditions and sudden flow blockage in a pipeline. It is unclear whether the results of these experiments are representative for flow regime transition events in actual flowing sewers. This paper summarizes an experimental investigation in which pipe-filling bore fronts were generated by introducing large inflows in sewers initially in flowing conditions with drawdown profiles due to a free overfall at the downstream end. This condition is perceived as a more representative scenario in which flow regime transition events would occur. Pressure and velocity measurements were performed and the results compared well with predictions from a flow regime transition model.
Comparative Study of Traditional Single-Needle Electrospinning and Novel Spiral-Vane Electrospinning: Influence on the Properties of Poly(caprolactone)/Gelatin Nanofiber Membranes

Spiral-vane electrospinning (SVE), a novel needleless electrospinning, was proven effective in obtaining high-throughput production of nanofibers. However, the properties of the electrospun nanofibers produced by SVE remain relatively underexplored, especially in comparison with those made by traditional single-needle electrospinning (SNE). Hence, for the comparative study of SNE and SVE in this study, the difference in the preparation mechanism was first analyzed using numerical simulation, followed by the experimental analysis of the effects of spinneret types on the quality and biocompatibility of electrospun poly(caprolactone)/gelatin (PCL/Gel) nanofibers. The values predicted by the electric field results were consistent with the experimental data, showing that the PCL/Gel nanofibers prepared by SVE have higher yields than SNE. Although the different spinnerets (i.e., needle and spiral vane) had little effect on the surface chemistry, thermal stability, and composition of the PCL/Gel nanofibers, they had great effects on the fiber diameter distribution and mechanical properties in which SVE-electrospun nanofibers have the wider diameter distribution and higher softness. Furthermore, the SVE-electrospun nanofibers were also proven to exhibit good biocompatibility for cell growth of human adipose-derived stem cells (hADSCs) and cell–fiber interactions. Summarily, compared to the traditional SNE, SVE-electrospun nanofibers exhibited many merits including high-throughput yield, good air permeability, and compliance, which provide a facile and effective platform for the improvement of nanofiber applications in biomedical fields (e.g., tissue engineering, cosmetic, and medical textiles).
KTLO & Brownfield: Overcoming Challenges when Modernizing Process Automation and Business Intelligence

An estimated 50-80% of an organisation's IT budget is said to be spent on "keeping the lights on" (KTLO), with the remaining resources being often constrained to brownfield development in which legacy software systems define the boundaries to modernisation and innovation. Prominent business systems such as e.g., SAP ERP or SAP HANA fail to address all business needs, hence inhouse software development remains unavoidable. This paper gives an overview of the development and successful implementation of a scalable in-house data aggregation and data provisioning system built to enable rapid responses to emerging process digitalisation and business intelligence needs. The architectural implications and considerations are discussed.
AN EVALUATION METHOD OF UNDRAINED SHEAR STRENGTH OF CLAY DURING CONSOLIDATION

一次圧密から二次圧密までの全ての圧密過程における飽和粘土の非排水強度を評価する手法を提案した. 提案した評価法は, 変形のひずみ速度依存性を考慮した一次元圧密理論と圧密過程における間隙比 (含水比) の減少量と非排水強度の増加量の一義性の経験則を結び付けたものであり, そのために二次圧密を含む全ての圧密過程を評価する応力として“換算圧密応力”を新たに定義した. 計算結果と既往の試験結果を含む各種の試験結果を比較することにより評価法の検証を行った.