Miracle-dz/UniFAR-FTUs huggingface dataset:
SCanDroid: Automated Security Certification of Android

Android is a popular mobile-device platform developed by Google. Android’s application model is designed to encourage applications to share their code and data with other applications. While such sharing can be tightly controlled with permissions, in general users cannot determine what applications will do with their data, and thereby cannot decide what permissions such applications should run with. In this paper we present SCANDROID, a tool for reasoning automatically about the security of Android applications. SCANDROID’s analysis is modular to allow incremental checking of applications as they are installed on an Android device. It extracts security specifications from manifests that accompany such applications, and checks whether data flows through those applications are consistent with those specifications. To our knowledge, SCANDROID is the first program analysis tool for Android, and we expect it to be useful for automated security certification of Android applications.
Assimilation, Integration or Inclusion? A Dialectical Perspective on the Organizational Socialization of Migrants

Given the increasing importance of migrations around the world, and the challenges that migrants face in entering the labor market, the process of socialization of migrants into organizations deserves more attention from management scholars. Indeed, societal discourses promoting equality and diversity often appear to be in contradiction with the unequal power relations migrants experience on entering the workforce. Drawing on a dialectic perspective and a qualitative meta-synthesis methodology, we show how the practices engaged in by organizations to socialize migrant employees are deeply embedded in and influenced by macro-social contexts that may place migrants at a disadvantage, giving rise to emerging tensions. We examine a range of contingencies that can mitigate the inequalities that migrants experience, and we reveal a variety of dynamic dialectical pathways surrounding migrant socialization practices through which they may be reproduced or transformed depending on the mutual relationships between situated conditions, emerging tensions and human praxes.
Just an artifact? The concordance between peer review and bibliometrics in economics and statistics in the Italian research assessment exercise

Abstract During the Italian research assessment exercise (2004–2010), the governmental agency (ANVUR) in charge of its realization performed an experiment on the concordance between peer review and bibliometrics at an individual article level. The computed concordances were at most weak for science, technology, engineering, and mathematics. The only exception was the moderate concordance found for the area of economics and statistics. In this paper, the disclosed raw data of the experiment are used to shed light on the anomalous results obtained for economics and statistics. In particular, the data permit us to document that the protocol of the experiment adopted for economics and statistics was different from the one used in the other areas. Indeed, in economics and statistics the same group of scholars developed the bibliometric ranking of journals for evaluating articles, managing peer reviews and forming the consensus groups for deciding the final scores of articles after having received the referee’s reports. This paper shows that the highest level of concordance in economics and statistics was an artifact mainly due to the role played by consensus groups in boosting the agreement between bibliometrics and peer review.
The Parathyroid Glands and Metabolic Bone Disease

About 25 years ago Fuller Albright became interested in disorders of the parathyroid glands and other conditions disturbing calcium and phosphorus metabolism. It was in 1925 that the first parathyroid adenoma was removed in Vienna and in 1924 and 1925 that Hanson and Collip independently extracted the active principle of the parathyroid glands. Since this time Albright and a long retinue of coworkers have turned out a large number of classic papers clarifying the understanding of the actions of parathyroid hormone, vitamin D and dihydrotachysterol, the effects of various renal disorders upon phosphorus and calcium, and the nature of bone diseases such as osteitis fibrosa generalisata, osteoporosis, osteomalacia, Paget's disease and polyostatic fibrous dysplasia. The new monograph presents in clear and concise form the accumulation of a quarter century of investigations and gives Albright's views as they stand today.
OPTIMIZING USE OF ENHANCED EFFICIENCY N FERTILIZERS TO IMPROVE WHEAT- MAIZE CROPPING SEQUENCE UNDER ALLUVIAL SOILS

Collectively, the challenges aim to accelerate the development of innovative fertilizer product technologies and to increase the use of existing enhanced efficiency fertilizers sources (EEFS) like slow release fertilizers (SRF) as an example for increasing crop yields and reducing environmental impacts to air, land and water. Two field experiments were carried out at Experimental Farm of Tag El-Ezz, Agricultural Research Station (30o 59\ N latitude, 31o 58\ E longitude ́), Agriculture Research Center (ARC), Dakahlia Governorate, Egypt. Completely randomized blocks design (CRBD) with three replicates was used during the two winter and summer successive growing seasons 20۲۰/21 and 2021 to study the effect of three different slow release nitrogen fertilizer (SRNF) sources 1sulfur coated urea (SCU), 2urea formaldehyde (UF) and 3cement coated urea (CCU) with different fertilization rates (100,125 and 150 % from the recommended dose) comparing with conventional urea (CU) under recommended fertilization rate for wheat and corn crops respectively (75 and 120 kg N fed-1) on growth, yield and its components of wheat (Triticum aestavium L.) cv. Misr1 during the winter season. As well as studying the residual effect of (SRNFs) with half additional application does of conventional urea to each plot on maize (Zea mays L.) var. (Tri Cross 360) growth, yield and its components. Available soil N in the experimental plots was determined during the growing seasons along the two experiments. The obtained results indicated the ability to use new age technologies as enhanced efficiency fertilizers (EEFS) like slow release fertilizers (SRFs) to sustain crops yield and maintain environment quality. SRNFs applications gave the highest values of vegetative growth, yield and its components of wheat plant compared to conventional urea. Raising rate of N fertilizer caused an increase in all studied parameters. SCU using at 100% fertilization rate was the superior SRNF using at the same rate where it increased ChllC a+b and BY by 31.23 and 19.95%, respectively, as well as it gave the highest grain nutrients concentration and protein content by 2.35% for N; 0.289% for P; 1.38% for K and 13.51% for protein comparing with CU using at 100% fertilization rate. The highest residual N (mg kg-1) in the soil after wheat harvesting was recorded with cement coated urea (CCU) and the same trend continuous to maize post harvesting. Thus the residual of CCU using at 100% fertilization rate + 50% CU increased maize ChllC a+b and BY by 36.40 % and 7.27%, respectively as well as it gave the highest values of maize grain content from N (2.09%), P (0.134%), K (1.46%) and oil content (5.20%) comparing with CU using at 100% fertilization rate. Economically, we advised farmer using SCU at 100% fertilization rate for one crop and using CCU at 100% +50 % CU recommended fertilization rates for cropping sequence.
Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data

The rapid development of battery technology has promoted the deployment of electric vehicles (EVs). To ensure the healthy and sustainable development of EVs, it is urgent to solve the problems of battery safety monitoring, residual value assessment, and predictive maintenance, which heavily depends on the accurate state-of-health (SOH) estimation of batteries. However, many published methods are unsuitable for actual vehicle conditions. To this end, a data-driven method based on the random partial charging process and sparse Gaussian process regression (GPR) is proposed in this article. First, the random capacity increment sequences (△Q) at different voltage segments are extracted from the partial charging process. The average value and standard deviation of △Q are used as features to indicate battery health. Second, correlation analysis is conducted for three types of batteries, and high correlations between the features and battery SOH are verified at different temperatures and discharging current rates. Third, by using the proposed features as inputs, sparse GPR models are constructed to estimate the SOH. Compared with other data-driven methods, the sparse GPR has the highest estimation accuracy, and its average maximum absolute errors are only 2.88%, 2.52%, and 1.51% for three different types of batteries, respectively.
Neural Network Model and Design Patterns on Fuzzy Evaluation System of Special Electromechanical Equipment

According to the physical characteristics and safety requirements, the evaluation levels of special electromechanical equipment were created. The five-layer neural network model was created according to the multi-layer neural network model. The first layer is input layer, the last layer is output layer, and the others are hidden layers. The software structure of evaluation system was designed, and the main class diagram was designed with UML. The relations among views, data model and dispatch controller were designed with MVC pattern. The factory method was used to instantiate view objects according to the object creation pattern. The ITERATOR pattern of structural pattern was used to find out view objects in the view object aggregation. The strategy pattern of behavior pattern was used to encapsulate different neural network algorithms.
CONTROL FOR AN OPTICALLY POWERED FIRING SET USING MINIATURE PHOTOVOLTAIC ARRAYS

The optically powered firing set looks to revolutionize the design of future electrical firing sets. Optically powered devices have many features that make them attractive, such as immunity to noise problems from Electromagnetic Interference (EMI) and Electromagnetic Radiation (EMR). Also, optically powered devices provide additional safety to prevent unintended usage and are small in volume in comparison to their electrical equivalent. These advancements have led to the design of a prototype firing set developed at Sandia National Laboratories. The main components are comprised of a miniature photovoltaic array (MPA) that transforms light energy to electrical energy and a capacitive discharge unit (CDU) used to store and deliver the transformed electrical energy to a detonator. In order for this system to be further optimized for implementation into an actual firing set, the output voltage state needs to be controlled and the temperature of the MPA and illuminating source minimized. This thesis reports on the development of an optical firing set model that represents the electrical, optical, and thermal characteristics of the system. A closed loop feedback control system with a PI controller is then developed to control the output voltage state as well as minimizing the MPA and illuminating source temperature.
Analysis of the Factors Influencing of Pre-service Science Teacher in Conceptualization of STEM Education: Self-Efficacy and Content Knowledge

This research investigates the factors that influence pre-service science teachers' conceptualization of STEM education. The factors involved STEM self-efficacy, STEM anxiety, science content knowledge, and mathematics content knowledge. The survey method was utilized in this research to collect a huge number of respondents at one time. The participants were 604 pre-service science teachers in Indonesia with different backgrounds (physics Education, biology education, chemistry education, Ingrate of Science education, and primary school education). The instruments were developed and share with participants using a google form to avoid the items that the participant did not fill in. The data analyzed using STEM showed that science content knowledge, STEM self-efficacy, and STEM anxiety were influencing the conceptualization of STEM education. This research suggested that to improve the quality of STEM education in the classroom. Pre-service science teachers should understand the concept of the content taught
HAL Project Number CT08014 (16/12/2013) Citrus Drought Survival and Recovery Trial

SARDI Loxton Research Centre PO Box 411 Loxton SA 5333 Ph. 08 8595 9100 E. mark.skewes@sa.gov. au This report provides a summary of the methodology and outcomes of research into citrus survival of, and recovery from, drought and reduced irrigation availability. The scope of the work encompassed both a controlled research trial and a broad scale on-farm monitoring program. This project has been funded by HAL using voluntary contributions from the South Australian Government and Agri-Exchange Pty. Ltd, and matched funds from the Australian Government.
The Combined Utility of HBME-1 and Galectin-3 Immunohistochemistry and BRAF V600E Mutations in the Diagnosis of Papillary Thyroid Carcinoma

Newer diagnostic modalities have revolutionized the pathologist’s approach to diagnosing thyroid malignancies. Molecular characterization of these malignancies has helped circumvent common morphologic diagnostic difficulties by integrating their genotypic, phenotypic, and immunohistochemical features. BRAF V600E mutation has been characterized as highly specific for thyroid carcinoma, especially papillary thyroid carcinoma (PTC); human bone marrow endothelial marker-1 (HBME-1) and galectin-3 are also such markers that are highly specific for PTC. We propose to study HBME-1 and galectin-3 expression and BRAF V600E mutation in thyroid neoplasms and do a comparative analysis to determine whether there is a correlation between BRAF V600E expression and that of HBME-1 and galectin-3. We further propose to analyze the individual and combined diagnosed utility of the above-mentioned ancillary diagnostic techniques.
Research of Survivability Scheme with Cooperative Information Management Based on IOT

Research progress of network survivability during the last few years were briefly introduced, including definitions, methods, qualitative and quantitative survivability evaluation, etc. Technical measures of survivability including IOT were summarized. Cooperative survivability and further possible research problems were investigated. Based on the idea of machine learning, survivability information can be got from other systems, and were utilized by the local system to enhance local survivability in time. Some research aspects on cooperative network survivability were summarized. Peers in a system collaborate with each other, which can improve the survivability of the whole systems.
Effect of pH-Regulation on the Capture of Lipopolysaccharides from E. coli EH100 by Four-Antennary Oligoglycines in Aqueous Medium

Bacterial lipopolysaccharides (LPS) are designated as endotoxins, because they cause fever and a wide range of pathologies in humans. It is important to develop effective methodologies to detect trace quantities of LPS in aqueous systems. The present study develops a fine-tuning procedure for the entrapment of trace quantities of LPS from E. coli EH100. The capture agents are self-assemblies (tectomers) formed by synthetic four-antennary oligoglycine (C-(CH2-NH-Gly7)4, T4). Based on previously performed investigations of bulk and adsorption-layer properties of aqueous solutions containing T4 and LPS, the optimal conditions for the entrapment interactions are further fine-tuned by the pH regulation of aqueous systems. A combined investigation protocol is developed, including dynamic light scattering, profile analysis tensiometry, microscopic thin-liquid-film techniques, and transmission electron microscopy. The key results are: (1) two types of complexes between T4 and LPS are generated—amphiphilic species and “sandwich-like” hydrophilic entities; the complexes are smaller at lower pH, and larger at higher pH; (2) an optimum range of pH values is established within which the whole quantity of the LPS is entrapped by the tectomers, namely pH = 5.04–6.30. The obtained data substantiate the notion that T4 may be used for an effective capture and the removal of traces of endotoxins in aqueous systems.
Effects of Lactobacillus plantarum on metabolic disorders in streptozotocin-induced diabetic rats

: Probiotics could have beneficial effects beyond gastrointestinal health, as they were found to improve certain metabolic disorders such as hyperglycaemia and hyperlipidaemia. This study aimed to investigate the effect of probiotic Lactobacillus plantarum on progression of streptozotocin (STZ)-induced type2 diabetes in male rats. The animals were divided into: Normal control (NC); Probiotic control (PC) rats administered Lactobacillus plantarum 10 7 CFU/ml/orally/daily for 28 days; STZ-Diabetic control rats (DC, 50 mg/kg/i.p.); Treated diabetic (TD) rats that received Lactobacillus plantarum . Fasting blood glucose, glycosylated haemoglobin, serum, insulin, blood lipid profile, and cardiac markers (creatine kinase; CK and lactate dehydrogenase; LDH) were recorded. Lactobacillus plantarum administration to diabetic rats prevent body weight decreasing and caused a significant ( P = 0.0001) decrease of serum glucose after the first week by 22.34% from the initial value as compared to diabetic rats. Furthermore, at the end of experiment, we observed a significant ( P < 0.05) decrease in HbA1c (19.1%) and increase ( P = 0.0001) of insulin level in (TD) group by (50.90%) compared to (DC). A significant reduction ( P = 0.0001) in CK (39.32%) and LDH (28.28%), TC (24.27%), TG (44.5%), VLDL-C (44.5%) and LDL-C (36.9%) associated with elevation of HDL-C level (33.52%) was also observed in the (TD) group compared to (DC) group. In conclusion, the probiotic L. plantarum significantly improve the onset of hyperglycaemia, hyperinsulinemia, dyslipidaemia, and may contribute to the improvement of cardiovascular disease risk factors in STZ-induced diabetic rats, indicating a lower risk of diabetes and its complications.
Body Composition Changes and Related Factors in Patients with Ulcerative Colitis: A Retrospective Single-Center Study in China

Background This study retrospectively explored body composition changes and related factors in patients with ulcerative colitis (UC). Material/Methods Patients with UC and healthy individuals who served as the healthy control at the Affiliated Hospital of Qingdao University September 2017 to August 2018 were retrospectively analyzed. Clinical data and laboratory examination indexes were collected. The skeletal muscle area (SMA) of the third lumbar vertebra cross-section, the subcutaneous fat area (SFA), and the visceral fat area (VFA) at the umbilical level were measured by computed tomography (CT), and the skeletal muscle index (SMI) was calculated to evaluate the loss of muscle mass. Results Data from a total of 80 patients (median age, 49.49 years; 44 [55%] men) with active UC in the UC group and 80 healthy people age- and sex-matched in the healthy control group were collected. The incidence of low SMI and malnutrition was remarkably higher in the UC group than in the healthy control group (P<0.05). Low SMI was observed in 62.5% of UC patients who had a normal body mass index. Based on classification by the Truelove and Witts’ criteria, the prevalence of malnutrition in severe UC patients was remarkably higher than that in mild and moderate UC patients (P<0.05). Based on the disease extent, the prevalence of low SMI in E3 type UC was dramatically higher than that in E2 type (P=0.028). Conclusions Loss of muscle mass was related to disease extent in patients with UC. Loss of muscle mass is more likely to be associated with malnutrition.
Analysis of the Implied Reliability Index and Load and Resistance Coefficients for China’s Current Highway Bridge Load-Carrying Capacity Evaluation Code

China’s current load-carrying capacity evaluation code for highway bridges is a semi reliability-based code. The reliability level of the code is analyzed through a comparative study, and methods used to update the reliability level of this code are specified in this paper. A formula to calculate the implied reliability index is proposed and verified by comparison with calibrated reliability indexes in design codes. Then the formula is used to calculate the implied reliability index with statistical parameters derived from the load and resistance coefficients in the current code. It is proposed that the implied reliability index should be adjusted by considering historical failure rates. Different criteria used to define historical failure rates of highway bridges are discussed. In addition, the paper compares the reliability level, applicability, evaluation frequency, target reliability indexes, and resistance and load coefficients between AASHTO and China’s current code. The paper would serve as a reference for the upcoming research on the updating of current highway bridge Load-carrying capacity evaluation code.
A common variant of CNTNAP2 is associated with sub-threshold autistic traits and intellectual disability

Sub-threshold autistic traits are common in the general population. Children with sub-threshold autistic traits have difficulties with social adaptation. Contactin-associated protein-like 2 (CNTNAP2) is associated with the development of Autism spectrum disorder (ASD) and the single-nucleotide polymorphism rs2710102 (G/A) of CNTNAP2 is suggested to contribute to sub-threshold social impairments and intellectual disabilities. We recruited 67 children with Autistic disorder (AD) (49 boys, 18 girls, aged 38–98 months) and 57 typically developing (TD) children (34 boys, 23 girls, aged 53–90 months). We assessed the participants’ intelligence and social reciprocity using the Kaufman Assessment Battery for Children (K-ABC) and the Social Responsiveness Scale (SRS), respectively. Genomic DNA was extracted from the buccal mucosa and genotyped for rs2710102. A chi-square test revealed a significant association between genotype and group [χ2(2) = 6.56, p = 0.038]. When a co-dominant model was assumed, the results from linear regression models demonstrated that TD children with A-carriers (AA + AG) presented higher SRS T-scores [t(55) = 2.11, p = 0.039] and lower simultaneous processing scale scores of K-ABC [t(55) = -2.19, p = 0.032] than those with GG homozygotes. These associations were not significant in children with ASD. TD children with the rs2710102 A-allele may have more sub-threshold autistic traits than those with GG homozygotes, reflected in higher SRS scores and lower simultaneous processing scale scores. These results support the use of genetic evidence to detect sub-threshold autistic traits.
A Delta-Sigma Based Buck Converter - Design Methodology for Wireless Systems

Wireless systems customarily use LDO for excellent noise performance at the expense of poor power efficiency. Switching regulators using Pulse Width Modulation (PWM) controllers offer better efficiency but have greater magnitude spurs at multiples of the clock frequency. In this paper, a switching regulator that uses a delta sigma (ΔΣ) controller is considered as a substitute to provide both high power efficiency and improved spurious performance. Tradeoffs in selecting the ΔΣ parameters are investigated for several wireless standards such as WIFI, Bluetooth, GSM, W-CDMA, HSPA, LTE and WIMAX. Simulations in 0.5 µm CMOS technology, performed for key parameters such as spurious performance, efficiency and transient response show that the ΔΣ controller having 3 rd order and over sampling ratio (OSR) of 32 can meet the stringent spectral conditions of a GSM system by a 10 dB margin. It also has 8% better power efficiency compared to the PWM controller. The performance of using this ΔΣ buck regulator for dynamically changing load applications is also analyzed. It is shown that for a 13% change in output voltage VOUT, the ΔΣ buck regulator can still meet the spurious constraints of the GSM system.