Miracle-dz/UniFAR-FTUs huggingface dataset:
Model of Execution Trace Obfuscation Between Threads

Advanced reverse analysis tools have significantly improved the ability of attackers to crack software via dynamic analysis techniques, such as symbol execution and taint analysis. These techniques are widely used in malicious fields such as vulnerability exploitation or theft of intellectual property. In this paper, we present an obfuscation strategy called “execution trace obfuscation,” wherein the program execution trace repeatedly switches between multiple threads. Our technique realizes equivalent code transformation by abstracting the obfuscation problems into pruning, cloning, and coloring problems in graph theory. Based on this, we further propose the cascade encryption of a function that depends on execution trace information with a key derived from the function address calculation process, followed by removing this key from the program. We have implemented a compiler-level system that inputs a source program and automatically generates an obfuscated file. Finally, random test proves the universality of obfuscation algorithm and verify the system’s performance. Results shows that our system can effectively interfere advanced reverse analysis tools.
A Far-Reaching Parental Love? Co-Governance of Intergenerational Succession and Innovation Activities in Chinese Family Firms

ABSTRACT Motivated by the research gap on intergenerational succession dynamics of family firms, this study examines the effects of initiating intergenerational succession on firms' innovation activities. We propose that initiation of intra-family succession can result in founder–successor co-governance that represents a strategic transition to the succession and incorporates the two conflicting yet complementary directions of change and continuity. Grounded in the theory of altruism, we suggest that co-governance will positively affect firms' innovation activities and that this positive link is contingent on the idiosyncratic intra-family relationships of kinship type, age difference, and gender difference between the founder and the successor. Furthermore, we posit that co-governance will lead to a flow of resources to low risk, rather than more inventive but higher risk, innovations. Based on the unbalanced panel data of 4,694 firm-year observations in our sample from listed Chinese family firms during the 2006–2015 period, empirical analysis supports our hypotheses and confirms that when examining family firms' innovation, there is a need to take the heterogeneity of the intra-family governance structure more fully into consideration. 摘要 针对家族企业代际传承动态性研究的不足，本研究探讨了家族企业代际传承对其创新活动的影响。 我们认为，家族内部传承的启动会导致创始人和继任者的跨代共治，这种共治方式代表了传承的战略过渡，使企业既保持连续性又有变化性。 基于利他主义理论，我们认为跨代共治会对企业的创新活动产生积极的影响，但其影响程度取决于创始者和继任者之间特殊的亲属关系、年龄差异和性别差异。 此外，我们假设跨代共治将导致资源流向低风险的创新，而不是更具创造性但风险更高的创新。 我们对2006-2015年中国4694个上市家族企业年度的非均衡面板数据进行了分析，结果支持了我们的假设，并证实了在研究家族企业创新时，有必要更充分地考虑到家庭内部治理结构的异质性。
Chemometrics, Health Risk Assessment and Probable Sources of Total Petroleum Hydrocarbons in Atmospheric Rainwater in Rivers State, Nigeria.

Total petroleum hydrocarbons (TPHs)-(aliphatic and aromatic) were analysed for in atmospheric rainwater between April- June; July – August; September–October depicting early, mid, late rain of 2019. Sampling at Rumuodomaya/ Rumuodome and Ogale in Rivers State using basins fastened to a table 2 M above ground and 120 M from high features, Rainwater was analysed after treatment using Agilent GC-FID. Results show cumulative TPHs at R/R were 56.6551mg/L, 39.5201mg/L and 7.2283mg/L, Ogale: 9.1217mg/L, 59.4923mg/L and 21.9825mg/L. Aliphatic hydrocarbons: C5 – C8 were < 1, low contamination, other carbon aggregates (C9 – C16, C17– C35, and C36 – C40) indicate high contamination. Chemometric assessment showed high contamination. TPHs aggregates at Rumuodomaya/ Rumuodome were- C8 – C11 (1.034 and 1.005) early rain, C18 – C25 and C26 – C33 has Carbon preference index of 1.287 and 1.630 (mid-rain), C26 – C33 has CPI of 1.288 (late-rain), Ogale area, C26–C33 has CPI of 1.732 (early-rain), mid-rain C8 – C11 (2.768) and C12–C17 (5.368). Pristane/phytane ratio indicated biogenic and pyrogenic sources. Average carbon length of TPHs for odd n-alkanes were C9 – C11 (9.446) and C35 – C39 (38.980), C9 – C11(10.238), C35 – C39 (36.510); C9 – C11 (10.240) and C35 – C39 (36.934). Average daily intake depicted possible health issues for children and adults as hazard index > 1 for aromatics.
Supplemental References

The Ciba Collection of Medical Illustrations. Frank H. Netter, M.D. Volume 8 Musculoskeletal System Part I Anatomy, Physiology and Metabolic Disorders. Part II Developmental Disorders, Tumors, Rheumatic Diseases, and Joint Replacement. Part III Trauma, Evaluation, and Management. THE UNIVERSITY OF IOWA DEPARTMENT OF ORTHOPAEDIC SURGERY The Virtual Hospital American Academy of Orthopaedic Surgeons Whitaker Foundation The Hip Society www.PubMed. com
Crude palm oil price prediction using multilayer perceptron and long short-term memory

Crude Palm Oil is a leading commodity from Indonesia. Accurate prediction of Crude Palm Oil prices is very important to ensure future prices and help decision making. Study on crude palm oil prices is needed to anticipate fluctuations. In this study, prediction model was made using Multilayer Perceptron and Long Short-Term Memory. The optimization methods in this study are Stochastic Gradient Descent, Root Mean Square Propagation, and Adaptive Moment Estimation. The best model is selected based on Mean Square Error. Based on the results, Long Short-Term Memory model with Adaptive Moment Estimation optimization method is more optimal than Long Short-Term Memory with Stochastic Gradient Descent and Long Short-Term Memory with Root Mean Square Propagation. The prediction results using Long Short-Term Memory with Adam optimization show that the predicted value is not different from the actual value and Mean Absolute Percentage Error is 2.11%. This model has high forecasting accuracy because Mean Absolute Percentage Error is less than 10%.
Infectious Diseases Diagnosis and Treatment Suggestions Using Complex Neutrosophic Hypersoft Mapping

Infectious diseases are one of the leading causes of death all over the world. This study aims to define the debates around the diagnosis of infectious diseases and their associated issues. After looking at the side effects of Infectious Diseases, it becomes difficult to distinguish the types of Infectious Diseases and their severities. It is difficult to detect the efficiency in treating a patient record and predicting the length of medicine because the indeterminacy, false components, amplitude term (A-term), phase term (P-term), and sub parametric values are commonly rejected in terms of practical evaluation. This paper introduces the Complex Neutrosophic Hypersoft (CNHS) set and CNHS mapping with its inverse mapping to overcome these limitations. This theory will be more flexible in three ways. First, it includes indeterminacy and falsity components, which will utilise parametric values to analyse data in all three dimensions of the patient’s illness: positive, indeterminant, and negative. Secondly, for easier understanding, it separates the various attributes into distinct attribute-valued sets. Third, it provides for a large range of membership function values by expanding membership to the unit circle on an Argand plane and introducing an additional term known as the P-term to account for the periodic character of the data. To correctly analyse the problem, these principles can be coupled with scientific modelling. This study demonstrates a correlation between symptoms and treatments. A table with a fuzzily defined gap between 0 and 1 is created for different types of infectious diseases. The computation is based on CNHS mapping in order to properly detect the condition and select the appropriate prescription for each patient’s ailment. Eventually, a generalised CNHS mapping is offered, which can assist a doctor in releasing the chronology of the patient’s health status and predicting the time frame of therapy until the sickness is cleared.
The Sexual Function of Primiparous Women after Normal Delivery and Cesarean Section According to the Female Sexual Function Index

BACKGROUND: Various anatomical and physiological changes occur to provide a suitable environment for fetal development during pregnancy. Changes in body shape and other physical changes also undergo changes and are associated with postpartum sexual dysfunction. AIM: This study aims to measure and determine the difference in female sexual function index scores for primiparous women post normal delivery and post-cesarean section. METHODS: An observational analytic study with a cross-sectional study design conducted in a hospital. This study involved 60 women with inclusion criteria aged 20–35 years, primiparous women with post-term pregnancy, primiparous women after normal delivery and cesarean section at 3–4 months, women who were married and living with their husbands and were willing to participate in this study. Data were analyzed descriptively and statistically. RESULTS: The results showed that the cause of perineal damage was mostly due to the mediolateral episiotomy, the degree of perineal damage with Grade II status, and there was variation in the indication of an elective cesarean section. The statistical test results show that there was no difference in the type of delivery, both normal delivery and cesarean delivery on desire, arousal, satisfaction, lubrication, orgasm, and dyspareunia and the total female sexual index in primiparous (P > 0.05). CONCLUSION: This study recommends that in primiparous women care, it is not advisable to choose one type of delivery as a form of prevention of postpartum sexual dysfunction. In addition, in the management of complaints of sexual dysfunction in primiparous it is not required to consider the type of delivery as the main cause.
Use of Data Mining in the prediction of risk factors of Type 2 diabetes mellitus in Gulf countries

Prevalence of diabetes in Gulf countries is knowing a significant increase because of various risk factors, such as: obesity, unhealthy diet, physical inactivity and smoking. The aim of our proposed study is to use Data Mining and Data Analysis tools in order to determine different risk factors of the development of Type~2 diabetes mellitus (T2DM) in Gulf countries, from Gulf COAST dataset.
Exploration of individual and work-related impacts on police officers and police staff working in support or front-line roles during the UK’s first COVID lockdown

An online survey (N = 2063) of women working either as police officers or non-sworn/warranted police staff addressed personal well-being and work-related factors during the first COVID lockdown in the United Kingdom from March to August 2020. Overall, 59% of all respondents reported being more stressed during the lockdown than they had been previously. A key factor in stress levels was the respondents’ organisational support measured by a computed index of trust, communication, and support (TCS). Those respondents having a positive orientation towards TCS were less stressed than those whose orientation was more negative. Findings differentiated the experience of respondents typed as front-line police officers, front-line police staff, police officers serving in support functions and police staff in support functions. Innovative COVID-19 working arrangements are highlighted as beneficial new practices worth retaining.
Low Temperature Antioxidant Activity QTL Associate with Genomic Regions Involved in Physiological Cold Stress Tolerance Responses in Rice (Oryza sativa L.)

Boosting cold stress tolerance in crop plants can minimize stress-mediated yield losses. Asian rice (Oryza sativa L.), one of the most consumed cereal crops, originated from subtropical regions and is generally sensitive to low temperature environments. Within the two subspecies of rice, JAPONICA, and INDICA, the cold tolerance potential of its accessions is highly variable and depends on their genetic background. Yet, cold stress tolerance response mechanisms are complex and not well understood. This study utilized 370 accessions from the Rice Diversity Panel 1 (RDP1) to investigate and correlate four cold stress tolerance response phenotypes: membrane damage, seedling survivability, and catalase and anthocyanin antioxidative activity. Most JAPONICA accessions, and admixed accessions within JAPONICA, had lower membrane damage, higher antioxidative activity, and overall, higher seedling survivability compared to INDICA accessions. Genome-wide association study (GWAS) mapping was done using the four traits to find novel quantitative trait loci (QTL), and to validate and fine-map previously identified QTL. A total of 20 QTL associated to two or more traits were uncovered by our study. Gene Ontology (GO) term enrichment analyses satisfying four layers of filtering retrieved three potential pathways: signal transduction, maintenance of plasma membrane and cell wall integrity, and nucleic acids metabolism as general mechanisms of cold stress tolerance responses involving antioxidant activity.
Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion

In order to reduce traffic accidents caused by fatigue driving, a fatigue driving detection algorithm is proposed based on deep learning and facial multi-index fusion from the driver $'\text{s}$ facial features. Because the scene in the actual driving process is very complex and changeable, this algorithm first improves the multi-task cascaded convolutional neural network (MTCNN) so that it can quickly and accurately locate the face and detect the facial key points. According to the facial key points, the driver’s eyes and mouth regions are determined. Second, these regions are input into the eyes and mouth state recognition network (E-MSR Net) for state recognition. The E-MSR Net is a depth separable convolution neural network that is improved and optimized based on MobilenetV2. Finally, the three facial features of eye closure rate (ECR), mouth opening rate (MOR), and head non-positive face rate (HNFR) are fused to judge the driver’s fatigue state. This algorithm can quickly and accurately make judgments in the face of complex and changeable scenes. At the same time, it can avoid the failure of the algorithm caused by the occlusion of the eyes or mouth due to wearing sunglasses or masks during driving. The accuracy of the proposed algorithm on the self-made data set achieved 97.5%, which proved the feasibility of the algorithm.
Keinginan Menggunakan Angkot di kota Medan dengan Peningkatan Layanan Informasi

Keterandalan dan kenyamanan pengalaman perjalanan dengan angkot dapat ditingkatkan dengan cara modernisasi, khususnya dengan penyediaan layanan informasi. Dalam studi ini, kami memperkenalkan konsep layanan informasi real-time kepada pengguna angkot, dan mengeksplorasi tingkat keinginan pengguna dalam semakin menggunakan angkot setelah dilengkapi layanan informasi tersebut. Baik karakteristik sosio-ekonomi maupun perjalanan dipergunakan untuk memprediksi tingkat keinginan tersebut. Responden yang merupakan pengguna angkot di Kota Medan diwawancarai dengan instrumen kuesioner terstruktur, dan terkumpul sebanyak 385 orang. Model logit ordinal kemudian dispesifikasikan dalam beberapa kombinasi variabel bebas yang memiliki korelasi baik. Terdapat 2 variabel sosioekonomi (ukuran rumah tangga menengah, dan status sebagai pelajar) dan 2 variabel karakteristik perjalanan (frekuensi kategori rendah, dan menengah) yang signifikan mempengaruhi probabilitas menaikkan tingkat keinginan pengguna. Layanan informasi cenderung diinginkan oleh pengguna, dan dapat meningkatkan keinginan untuk menggunakan angkot meskipun hanya berlaku bagi kelompok tertentu. Sekurang-kurangnya, skenario cenderung menguatkan loyalitas pengguna eksisting. Pengguna kendaraan pribadi adalah salah satu yang kemungkinan berpersepsi biasa saja akan penambahan layanan ini. Â
The Pseudo-Symmetric N-benzyl Hydroxyethylamine Core in a New Series of Heteroarylcarboxyamide HIV-1 Pr Inhibitors: Synthesis, Molecular Modeling and Biological Evaluation

Here, we report the synthesis, enzyme inhibition and structure–activity relationship studies of a new potent class of HIV-1 protease inhibitors, which contain a pseudo-symmetric hydroxyethylamine core and heteroarylcarboxyamide moieties. The simple synthetic pathway furnished nine compounds in a few steps with high yields. The compounds were designed taking into account our previous results on other series of inhibitors with different substituents at P’ and P’’ and different ways of linking them to the inhibitor core. Potent inhibitory activity was obtained with nanomolar IC50 values measured with a standard fluorimetric test in 100 mM MES buffer, pH 5.5, containing 400 mM NaCl, 1 mM EDTA, 1 mM DTT and 1 mg/ml BSA. Compounds 9a–c, containing the indole ring in P1, exhibited an HIV-1 protease inhibitory activity more powerful than darunavir in the same assay. To obtain molecular insight into the binding properties of these compounds, docking analysis was performed, and their binding properties were also compared.
Socio-demographic and clinical patterns of patients with obstructive airway disease

Background: Obstructive airway disease (OAD) includes two entities that share many common characteristics. Those are asthma and chronic obstructive pulmonary disease (COPD). On the other hand, in our regular practice, we observe that psychiatric symptoms of anxiety, depression, and cognitive dysfunction often occur in patients suffering from such diseases which are also associated with their socio-demographic and clinical status. Aim of the study: The aim of this study was to determine the socio-demographic and clinical status of patients with OAD.Methods: This was a cross-sectional observational study which was conducted at the department of respiratory medicine in the national institute of diseases of the chest and hospital, Dhaka, Bangladesh during the period from March 2018 to February 2019 in collaboration with the department of pathology, radiology, and respiratory laboratory. A total of 160 cases of asthma or COPD were enrolled in this study. Statistical analyses of the results were obtained by using Windows-based computer software devised with statistical packages for social sciences (SPSS-23.0). Results: A total number of 160 patients were selected and the mean age of the total participants was 53.0±14.0 years. In this study, the male-female ratio of the study people was 1.13:1. The majority (91.2%) of patients were married. Almost three fourth (73.7%) of patients were from rural areas. Almost one-third (31.9%) of patients completed primary education level. The majority (27.5%) of the patients were service holders. The average monthly income was 1871.9±4888.8 taka. Almost two-thirds (66.3%) of patients were smokers. In total 98 (61.3%) patients had COPD and 62 (38.7%) had asthma. In this study in total 98 (61.3%) patients had COPD and 62 (38.7%) had asthma. Among 98 COPD patients 10 (10.2%) had mild, 29 (29.6%) had moderate, 40 (40.8%) had severe and 19 (19.4%) had very severe COPD. Among 62 asthmatic patients 22 (35.5%) had mild, 16 (25.8%) had moderate, 11 (17.7%) had severe and 13 (21.0%) had very severe asthma.Conclusions: According to the findings of this study we can conclude that the frequency of OAD is higher among aged, smokers, married male people than others. The ratio of COPD patients may be higher than asthmatic patients among the rural population of Bangladesh. The mean depression inventory score was found to some higher among asthmatic patients than that of COPD patients.
Development of a novel screening tool for predicting Cochlear implant candidacy

Cochlear implantation (CI) is a well‐established treatment for sensorineural hearing loss. Due in part to a lack of referral guidelines, CI technology remains underutilized, and many patients who could benefit from CI may not be referred for evaluation. This study aimed to develop a model for predicting CI candidacy using routine audiometric measures, with the goal of providing guidance to clinicians regarding when to refer a patient for CI evaluation.
Current practices in the management of kidney transplant rejection: an Indian perspective

Renal diseases like chronic kidney disease (CKD) and end-stage renal disease (ESRD) are a major healthcare burden in developing countries like India. Kidney transplantation is considered to be the most viable treatment option for such patients. In comparison to dialysis, renal transplantation is associated with reduced mortality and improved quality of life. However, a major challenge experienced in transplant procedures is transplant rejection. Four virtual advisory board meetings involving 30 nephrology experts were conducted to discuss the current therapeutic landscape of kidney transplant rejection in India and subsequent practice-based insights of the experts were garnered. The experts concurred on the need for appropriate screening including immunological profiling, diagnosis, and management of candidates for transplantation. While immunosuppressive therapy and strategies like plasmapheresis, intravenous immunoglobulin, corticosteroids, and rituximab have been well established in the treatment of transplant rejection, novel and emerging treatment modalities like interleukin-6 antagonists, imlifidase or complement inhibitors have shown promise and should be considered. Increased awareness among physicians about the development of newer immunosuppressive regimens with lower side effects that may improve long-term outcomes of kidney transplantation is warranted.
Introduction

Three vegetable oils (virgin olive, crude canola, or linseed oils) were used as diet additives to compare their effects on lipid profile of blood serum of experimental rats in the presence of egg yolk as a source of cholesterol. Corn meal (1.6% fat) was used as control diet, the positive control diet composed of corn meal plus 9% egg yolk (about 0.15%cholesterol). The other three diets composed of positive control plus 14% olive, canola or linseed oils. Lipid parameters were determined in rat's blood serum after 21, 36 and 46 days from feeding . Obtained data revealed that both canola and linseed oils containing diets significantly decreased total cholesterol (TC), triacylglycerol(TG) and low-density lipoprotein cholesterol (LDL-c) and increased highdensity lipoprotein cholesterol (HDL-c) levels in relation to positive control diet. Data of olive oil containing diet showed a significant increase in TC, TG, and HDL-c at the end of nutrition experiment. Whereas no significant difference in LDL-c between positive control and olive oil containing diet.