Miracle-dz/UniFAR-FTUs huggingface dataset:
A Machine Learning Applied Diagnosis Method for Subcutaneous Cyst by Ultrasonography

For decades, ultrasound images have been widely used in the detection of various diseases due to their high security and efficiency. However, reading ultrasound images requires years of experience and training. In order to support the diagnosis of clinicians and reduce the workload of doctors, many ultrasonic computer aided diagnostic systems have been proposed. In recent years, the success of deep learning in image classification and segmentation has made more and more scholars realize the potential performance improvement brought by the application of deep learning in ultrasonic computer-aided diagnosis systems. This study is aimed at applying several machine learning algorithms and develop a machine learning method to diagnose subcutaneous cyst. Clinical features are extracted from datasets and images of ultrasonography of 132 patients from Hunan Provincial People's Hospital in China. All datasets are separated into 70% training and 30% testing. Four kinds of machine learning algorithms including decision tree (DT), support vector machine (SVM), K-nearest neighbors (KNN), and neural networks (NN) had been approached to determine the best performance. Compared with all the results from each feature, SVM achieved the best performance from 91.7% to 100%. Results show that SVM performed the highest accuracy in the diagnosis of subcutaneous cyst by ultrasonography, which provide a good reference in further application to clinical practice of ultrasonography of subcutaneous cyst.
Magnetic properties and enhanced magnetic refrigeration in (Mn1−xFex)5Ge3 compounds

Magnetic and magnetocaloric effects of (Mn1-xFex)(5)Ge-3 compounds are studied systematically. The maximum of magnetic entropy changes of 8.01 J/kg K under an external field change of 5 T is obtained for (Mn0.9Fe0.1)(5)Ge-3, which is the largest value in Mn5Ge3-based solid solutions. Moreover, the Fe substitution increases the refrigeration capacity (RC) value greatly. The largest RC value of 237 J/kg in (Mn0.8Fe0.2)(5)Ge-3 even compares favorably to that of many well-known magnetic refrigeration materials. Thus the Fe-containing (Mn1-xFex)(5)Ge-3 compounds are much-improved magnetic refrigerants for the application of room-temperature magnetic refrigeration. The increase of the RC value is probably resulted from the formation of magnetic nanostructure. (c) 2007 American Institute of Physics.
Tumour-Related Parameters as a Prognostic Factor in Patients with Advanced Cervical Cancer: 20-Year Follow-Up of Diagnostic and Treatment Changes during Chemioradiotherapy

Concurrent radiochemotherapy (RCHT) has been the standard treatment for locally advanced cervical cancer since 1999. During this 20-year period, both diagnostic and radiotherapy techniques have developed, such as positron emission tomography (PET) or brachytherapy (BT) planning. The aim of the study was to assess the relationships between prognostic factors and the results of treatment in patients with advanced cervical cancer independent of these changes. The analysis included 266 patients with stage IIB or IIIB FIGO 2009 cervical cancer divided into two groups: one including 147 patients diagnosed with physical examination and ultrasonography (USG) and treated with RCHT with 2D BT from 2001 to 2005; another including 119 patients with metastatic pelvic lymph node diagnosed with PET and treated from 2010 to 2016 with RCHT and 3D BT. The mean five-year overall survival (OS) rate was 59.2% in the first vs. 65.5% in the second group (p = 0.048). However, in both groups, stage IIB patients had a significantly higher 5-year OS rate, despite the presence of nodal metastases in group 2. In the first group it was 75.1% in IIB vs. 54.8% in IIIB (p = 0.040) 5-year OS and 77.5% vs. 55.8% (p = 0.034) in the second group. Important was also a significant association between the dose of BT and survival in group 2: 45.7% vs. 69.2% for dose <28 Gy and 28 Gy (p = 0.018). Evolution in the diagnosis and treatment of patients with cervical cancer had led to improvement in the survival of patients and precise treatment with an appropriate stage assessment. However local advance of the tumour is still the most important prognostic factor.
The Performance of Nonwoven PLLA Scaffolds of Different Thickness for Stem Cells Seeding and Implantation

The 3D reconstruction of 100 μm- and 600 μm-thick fibrous poly-L/L-lactide scaffolds was performed by confocal laser scanning microscopy and supported by scanning electron microscopy and showed that the density of the fibers on the side adjacent to the electrode is higher, which can affect cell diffusion, while the pore size is generally the same. Bone marrow mesenchymal stem cells cultured in a 600 μm-thick scaffold formed colonies and produced conditions for cell differentiation. An in vitro study of stem cells after 7 days revealed that cell proliferation and hepatocyte growth factor release in the 600 μm-thick scaffold were higher than in the 100 μm-thick scaffold. An in vivo study of scaffolds with and without stem cells implanted subcutaneously onto the backs of recipient mice was carried out to test their biodegradation and biocompatibility over a 0–3-week period. The cells seeded onto the 600 μm-thick scaffold promoted significant neovascularization in vivo. After 3 weeks, a significant number of donor cells persisted only on the inside of the 600 μm-thick scaffold. Thus, the use of bulkier matrices allows to prolong the effect of secretion of growth factors by stem cells during implantation. These 600 μm-thick scaffolds could potentially be utilized to repair and regenerate injuries with stem cell co-culture for vascularization of implant.
Externalities of Policy-Induced Scrappage: The Case of Automotive Regulations

Many transportation policies indirectly affect vehicle travel and resulting externalities by inducing changes in vehicle scrappage rates. We leverage the staggered removal of state-level safety inspection programs across the United States within an instrumental variables (IV) framework to produce the first estimates of the fleet-size elasticities of fleet travel distance and gasoline consumption. Our first-stage estimates indicate that the removal of safety inspections caused a 3-4% increase in fleet size on average. Our IV estimates of the fleet-size elasticities of fleet travel distance and gasoline consumption have 95% confidence sets that imply rejection of an assumption commonly used in prior analyses that these elasticities are equal to one. Calculations based on fleet-size elasticities of one result in substantial overestimates of the externality costs from increases in travel and fuel use from delays in scrappage due to the removal of safety inspections. Connor R. Forsythe Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213 cforsyth@andrew.cmu.edu Akshaya Jha H. John Heinz III College Carnegie Mellon University 4800 Forbes Avenue Pittsburgh, PA 15213 and NBER akshayaj@andrew.cmu.edu Jeremy J. Michalek Department of Engineering and Public Policy Department of Mechanical Engineering Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 jmichalek@cmu.edu Kate S. Whitefoot Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213 kwhitefoot@cmu.edu A data appendix is available at http://www.nber. org/data-appendix/w30546
A Comprehensive Study on Integrating Clustering with Regression for Short-Term Forecasting of Building Energy Consumption: Case Study of a Green Building

Integrating clustering with regression has gained great popularity due to its excellent performance for building energy prediction tasks. However, there is a lack of studies on finding suitable regression models for integrating clustering and the combination of clustering and regression models that can achieve the best performance. Moreover, there is also a lack of studies on the optimal cluster number in the task of short-term forecasting of building energy consumption. In this paper, a comprehensive study is conducted on the integration of clustering and regression, which includes three types of clustering algorithms (K-means, K-medians, and Hierarchical clustering) and four types of representative regression models (Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Regression (SVR), Artificial Neural Network (ANN), and extreme gradient boosting (XGBoost)). A novel performance evaluation index (PI) dedicated to comparing the performance of two prediction models is proposed, which can comprehensively consider different performance indexes. A larger PI means a larger performance improvement. The results indicate that by integrating clustering, the largest PI for SVR, LASSO, XGBoost, and ANN is 2.41, 1.97, 1.57, and 1.12, respectively. On the other hand, the performance of regression models integrated with clustering algorithms from high to low is XGBoost, SVR, ANN, and LASSO. The results also show that the optimal cluster number determined by clustering evaluation metrics may not be the optimal number for the ensemble model (integration of clustering and regression model).
Economic Evaluation of Drought Resistance Measures for Maize Seed Production Based on TOPSIS Model and Combination Weighting Optimization

In order to optimize the appropriate drought resistance measures in the implementation of high-efficiency and intensive production of maize seed, in 2018 and 2019, maize cultivation experiments with different drought resistance measures were carried out in the arid area of northwest China, including water retention agent (SA), white plastic film mulch (WF), black plastic film mulch (BF), straw mulch (SM), and open ground flat seed as control (CK). A total of five treatments were conducted. Ten specific indicators contained four types of attributes, namely the yield, quality, water use efficiency (WUE), and economic benefit of maize seed production, aimed at constructing a multilevel evaluation system. To improve the reliability of evaluation results, subjective and objective weights of indexes were calculated using the analytic hierarchy process (AHP) and entropy weight method (EWM), respectively. Then, based on the integrated weighting method of game theory (GT), the combined weights of subjective and objective unity were obtained. Finally, with the help of the technique for order preference by similarity to ideal solution (TOPSIS), a comprehensive benefit evaluation model was established to screen out the optimal drought resistance measures. Compared with CK, different drought resistance measures significantly improved the grain quality of seeds-production corn, and the average annual yield and WUE of black and white film treatments were improved by 49.57% and 42.97% and by 65.67% and 58.21%, respectively. This proved that black film mulching (BF) could significantly increase the yield and WUE of maize seed production and effectively improve grain quality, which could be used as the best drought-resistant cultivation mode for maize seed planting in Hexi and similar areas.
Unpacking the Association between Family Functionality and Psychological Distress among Chinese Left-Behind Children: The Mediating Role of Social Support and Internet Addiction

Family functionality has been proven to be associated with adolescents’ and children’s mental health, but its indirect mechanisms among left-behind children have rarely been investigated in the Chinese context. This study aims to explore the direct effect of family functionality on psychological distress and the mediating roles of social support and Internet addiction among Chinese left-behind children. Based on multistage random sampling, 1355 students were recruited to participate in a school-based questionnaire survey in Jiangsu Province. Structural equation modeling using Amos 26.0 was used to test the direct and indirect paths of the variables. The results support our hypotheses, suggesting that family functionality has a direct effect on the psychological distress of left-behind children. Meanwhile, the association between family functionality and psychological distress is mediated by social support and Internet addiction, separately and sequentially. The findings suggest that effective social work interventions for psychological distress should be targeted toward social support and Internet addiction among left-behind children.
A griculture Optimization of Xylanase production by Alternaria Alternata isolated from APPLE ( Pyrus Malus L . ) discovery

The objective of the present investigation was to isolate the fruit spoilage fungi from Apple (Pyrus malus L.) sold in twin cities of Hyderabad and to identify the strains that secrete maximum amount of xylanase under submerged conditions. Recently xylanases have been explained for their use in many processing industries such as paper, pulp, food and textile industries. In all 12 fruit spoilage fungi were isolated. Alternaria alternata was selected for further studies based on the pathogenicity test and initial screening by xylan agar diffusion method for its ability to produce extracellular xylanase during its growth on enriched malt extract agar medium containing xylan as the sole source of carbon. The influence of various culture conditions including incubation period, synthetic media, initial pH, temperature, carbon sources and nitrogen sources on xylanase production by A. alternata was studied. Apart from birch wood xylan, xylose (174.0 U/ml) was the best inducer for the xylanase production. Xylanase production was maximum in medium B (medium A supplemented with 1 % fruit peel extract) with an enzyme activity of 102.0 U/ml. Alternaria alternata was more active in the production of xylanase when grown in Asthana and Hawker’s medium at pH 7 (149.0 U/ml). Optimum xylanase activity was shown at temperature at 35°C (137.8 U/ml). On the 6 day of incubation period xylanase production was maximum with an enzyme activity of 203.8 U/ml. Among the nine different nitrogen sources selected to study their effect on xylanase production, Glycine was found to be the best nitrogen source for enzyme production as it showed maximum enzyme activity (185.0 U/ml).
The Stabilization Mechanism of Nano-SiO2 Precursor Solution

The issues associated with the fabrication of nano-silica (NS) mineral powder, such as high cost and agglomeration, can be effectively mitigated by using a precursor solution of NS as the external mixture of cement-based materials. Based on the liquid-phase preparation of NS mineral powder, its preparation technology was thoroughly investigated herein. The precursor solution of NS was synthesized using acid media (HCL, HNO3, HBO3, HCOOH, CH3COOH)—the acetic acid concentration was 1~15%—and siliceous materials. (The concentration of sodium silicate was 20~38%). In addition, the pH value (pH4~pH8) of the precursor solution was measured using a pH detector. The indexes of NS, such as precipitation time, morphology, and distribution, were observed to formulate a preparation technique for the precursor solution of NS that possessed the best results for the precipitation of nanoparticles. From the acquired results, it was demonstrated that acetic acid solution (concentration ≤ 3%) and sodium silicate solution (concentration ≤ 25%) were mixed into a solution with pH = 6, which was the optimum mixing ratio for the precursor solution of NS. The prepared precursor solution of NS was also added to the Ca(OH)2 saturated solution, and the precursor solution became active from a stable state. Then, NS particles were precipitated in an alkaline solution and reacted with Ca(OH)2 to form calcium silicate gel, which made the solution increasingly turbid and generated many visible and uniformed flocculating substances. With time, gels were continuously produced, which then turn white. Similarly, NS particles can be precipitated when the precursor solution is added to cement paste, which reacts with the Ca(OH)2 to generate CSH gel and improve the compactness of the cement paste.
Hybrid Dynamic Models of Bioprocesses Based on Elementary Flux Modes and Multilayer Perceptrons

The derivation of minimal bioreaction models is of primary importance to develop monitoring and control strategies of cell/microorganism culture production. These minimal bioreaction models can be obtained based on the selection of a basis of elementary flux modes (EFMs) using an algorithm starting from a relatively large set of EFMs and progressively reducing their numbers based on geometric and least-squares residual criteria. The reaction rates associated with the selected EFMs usually have complex features resulting from the combination of different activation, inhibition and saturation effects from several culture species. Multilayer perceptrons (MLPs) are used in order to undertake the representation of these rates, resulting in a hybrid dynamic model combining the mass-balance equations provided by the EFMs to the rate equations described by the MLPs. To further reduce the number of kinetic parameters of the model, pruning algorithms for the MLPs are also considered. The whole procedure ends up with reduced-order macroscopic models that show promising prediction results, as illustrated with data of perfusion cultures of hybridoma cell line HB-58.
Isentropic Compression in a Strip Line, Numerical Simulations and Comparison with GEPI Shot 268

Isentropic compressions in a strip line geometry are performed on the GEPI facility at Centre d'etudes de Gramat in order to study isentrope, associated Hugoniot and phase changes. 3D GEPI configuration has been calculated here to test the new beta version of the electromagnetism package coupled with the dynamics in LS-DYNA{reg_sign} and compared with the GEPI experiment number 268.
Neuronal Nitric Oxide Synthase Regulates Depression-like Behaviors in Shortening-Induced Obese Mice

Shortening is mainly derived from the partial hydrogenation of palm oil and widely used in fast food. Food processed with shortening contains high levels of industrial trans fatty acids. Studies have shown that there is a correlation between industrial trans fatty acids, obesity, and depression. However, the regulatory effect of neuronal nitric oxide synthase (nNOS) on depression in obese patients is still unknown. The purpose of this study was to explore mood changes in obese mice fed a high shortening diet, and to determine the regulatory effect of nNOS on depressive-like behaviors in obese mice. We used a high shortening diet-induced obesity mouse model to systematically assess the metabolic response, behavioral changes, prefrontal and hippocampal nNOS protein levels, and the effect of nNOS inhibitors (7-nitroindole) on depression-like behavior in obese mice. Interestingly, obese mice on a 9-week high-shortening diet developed short-term spatial working memory impairment and anxiety-like behavior, and obesity may be a risk factor for cognitive impairment and mood disorders. In animals fed a high shortening diet for 12 weeks, obese mice developed depression-like behavior and had significantly elevated levels of nNOS protein expression in the hippocampus and prefrontal lobe. Administration of the nNOS inhibitor 7-nitroindole could improve depression-like behaviors in obese mice, further suggesting that inhibition of nNOS is helpful for depression associated with obesity.
Ultrasonic Enhancement of Aqueous Two-Phase Extraction and Acid Hydrolysis of Flavonoids from Malvaviscus arboreus Cav. Flower for Evaluation of Antioxidant Activity

The ultrasonic-assisted aqueous two-phase extraction (UAATPE) of flavonoid glycosides from Malvaviscus arboreous Cav. flower (MACF) was developed using ethanol/ammonia sulfate systems, followed by the ultrasonic-assisted acid hydrolysis (UAAH) of the top extract with HCl solution. The optimization of UAATPE and UAAH processes was accomplished by single-factor experiments and response surface methodology. As a result, the flavonoid glycosides enriched in the top phase could achieve a maximum yield of 35.9 ± 1.1 mg/g by UAATPE and were completely hydrolyzed by UAAH deglycosylation. The flavonoid glycosides and their hydrolyzates were separated and characterized by high-performance liquid chromatography and ultra-high-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry. Ultrasonic enhancement of the extraction and hydrolysis was explored by comparative study. Furthermore, the in vitro activity of the flavonoid glycosides and the aglycones were comprehensively evaluated by antioxidant activity assays, including ferric-reducing antioxidant power and scavenging DPPH, hydroxyl, and superoxide radicals. All of the IC50 values suggest that the antioxidant activity of flavonoid aglycones was stronger than that of their glucosides and even vitamin C, revealing that the deglycosylated flavonoids from MACF were the more powerful antioxidants. This study provided an effective and eco-friendly strategy for the extraction, separation, and purification of flavonoids from MACF, as well as for the development of the potential flavonoid antioxidants.
The Effects of Organizational Justice on Employee Performance Using Dimension of Organizational Citizenship Behavior as Mediation

One of the important factors that can affect employee performance (EP) is the employee’s perception of organizational justice (OJ) in the workplace and the employee’s willingness to carry out the employee’s primary role (in the role) optimally and the employee’s willingness to carry out tasks outside the employee’s primary job (extra-role), commonly called organizational citizenship behavior (OCB). OCB is divided into two dimensions: OCB at the individual level (OCBI) and OCB at the organizational level (OCBO). In educational organizations, the OCB of teachers is a strategic matter, so it needs to be a concern for school management if schools want to continue to survive and develop in the era of globalization characterized by changes in a dynamic and competitive environment. OCB from teachers can be said to be a form of teacher gratitude because the school has supported the welfare of teachers a lot, appreciates the contributions of teachers, and feels organizational justice practiced by the school. The respondents to the study were 820 full-time teachers from high schools and vocational high schools spread across several regions in East Java Province and Central Java Province, Indonesia, who were taken using convenient sampling techniques. This study aims to analyze: (1) the effect of OJ on OCBI and OCBO; (2) the direct effects of OJ and indirect effects on EP with OCBI and OCBO as mediation. Data analysis used the structural equation model (SEM) and Sobel test. The results of hypothesis testing show that: (1) OJ can significantly improve OCBI; (2) OJ can significantly improve OCBO; (3) the OJ was found to have a significant positive effect on EP; (4) OCBI can significantly improve EP; (5) OCBO can significantly improve EP; (6) OCBI partially mediates the influence of OJ on EP; (7) OCBO partially mediates the influence of OJ on EP. The results of this study explain the essential aspects of behaviour in the workplace, such as OJ, OCB, and EP, with a particular focus on high schools and vocational high schools in several regions in East Java Province and Central Java Province, Indonesia. The results showed that improving the EP of teachers can be achieved by organizational management through OJ practices in the work environment as well as organizational management efforts in improving the OCB of employees, considering that employees play an essential role in improving organizational performance.