Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation Hormonal State in Iraqi Infertility Females Under In-Vitro Fertilization Program

Background: Uniqueness of the current study at first time in Iraq specially, across the comparison theclinical parameters among Iraqi infertility females according the IVF program outcome: failures and successimplantation. While, aspect were neglected in IVF field. Also, to difficulty of some parameters comparingwith control.Methods: This study done during (December 2019 to November 2020) on Iraqi infertile females with agerange (19 – 45)ys. It included the two groups: success implantation and failure implantation females.Result: The current study revealed to that , secondary infertility is a good marker in implantation successprediction. Central circumference increasing has been associated with implantation failure (P 0.001), amongsuccess implantation. The hCG values were highly significant in failure implantation (P>0.001). MII oocytesand G2 embryos were highly significant in success implantation. Our result support that no. of embryocells have positive impact on IVF outcome. The S. TC and TG were significant increasing among failureimplantation.
Effects of Tenebrio molitor larvae meal inclusion in rainbow trout feed: myogenesis-related gene expression and histomorphological features

Abstract The effects of Tenebrio molitor larvae meal (TM) dietary inclusion in rainbow trout diet were evaluated on muscular growth using gene expression and histomorphological features of liver, spleen, kidney, anterior and posterior gut through histopathological analyses. Two hundred fifty-two grow-out rainbow trout were fed four experimental diets containing increasing levels of TM: 0% (TM0), 5% (TM25), 10% (TM50), and 20% (TM100) corresponding to different levels of fish meal replacement (0, 25, 50, and 100%, respectively). Muscular growth was evaluated analysing the expression of various genes involved in different steps of myogenesis. Among the analysed genes, only MyoD expression resulted significantly higher in fish fed TM100 compared to fish fed TM0. The gut histomorphology was not affected by TM dietary inclusion and villus height differs from anterior and posterior segments regardless of the fed diet. Histopathological alterations were observed in all the sampled organs for all the dietary treatments; however, dietary TM inclusion did not influence either development or severity of the observed histopathological changes. The results obtained confirmed the safe utilisation of TM as an alternative protein source in rainbow trout diets and highlighted the necessity to deepen the studies of TM effect on the myogenesis process, especially at a molecular level. Highlights Rainbow trout can effectively be fed with a TM protein source. Total FM substitution by TM (TM100) decreased MyoD gene expression. Increasing TM dietary inclusion did not influence gut histomorphology.
Acoustic, Myoelectric, and Aerodynamic Parameters of Euphonic and Dysphonic Voices: A Systematic Review of Clinical Studies

Background: At present, there is no clinical consensus on the concept of normal and dysphonic voices. For many years, the establishment of a consensus on the terminology related to normal and pathological voices has been studied, in order to facilitate the communication between professionals in the field of the voice. Aim: systematically review the literature to compare and learn more precisely the measurable and objective characteristics of the acoustic, aerodynamic and surface electromyographic parameters of the normal and dysphonic voices. Methods: The PRISMA 2020 methodology was used as a review protocol together with the PICO procedure to answer the research question through six databases. Results: In total, 467 articles were found. After duplicate records were removed from the selection, the inclusion and exclusion criteria were applied and 19 articles were eligible. A qualitative synthesis of the included studies is presented in terms of their methodology and results. Conclusions: Studying the acoustic, aerodynamic, and electromyographic parameters with more precision, in both normal and dysphonic voices, will allow health professionals working in the field of voice (speech therapy, otorhinolaryngology, phoniatrics, etc.) to establish a diagnostic and detailed consensus of the vocal pathology, enhancing the communication and generalization of results worldwide.
Shadows of the past: violent conflict and its repercussions for second-generation Bosnians in the diaspora

ABSTRACT This article explores how diaspora youth is impacted by and deals with the legacies of the violent conflict in their parents’ homeland of Bosnia. Based on the analysis of narrative-biographic interviews with second-generation Bosnians in Switzerland and ethnographic observations in diaspora spaces, this paper highlights the repercussions that Yugoslav disintegration wars and, particularly, the war in Bosnia (1992–1995) have for young people who were raised in Switzerland. First, it demonstrates that instead of a coherent picture about the past, young people receive fragments and pieces of personal memories and experiences that their families went through. Second, the history of conflict has repercussions for the ways young people establish and articulate their sense of attachment and belonging to the homeland of their parents. Third, while second-generation Bosnians rarely reproduce the conflict dynamic themselves, they move in spaces in which the legacies of conflict continue to be an important discursive and structural force.
Perceived value of organizational foresight processes: effects of the illusion of control and individual foresight

This research proposes an investigation into the reasons for low adherence for foresight processes in organizations. Studies involving the relevance of foresight processes have become increasingly frequent, driven by an environment of increasing volatility, uncertainty, ambiguity, and complexity. Despite the importance of the topic, which seeks to enable organizations to anticipate threats and opportunities from the environment through methods, thereis still little adherence to these practices, which justifies the purpose of this investigation. To achieve the proposed objective, a questionnaire was structured. Then, it was applied via electronic survey, allowing the observation of the effects of the illusion of control and individual foresight activities on the perceived value of formal foresight processes in organizations. The data were analyzed based on structural equations modeling with estimation through Partial Least Square (PLS). The sample was composed of 185 executives from the financial and technological sectors, and a reduction to the perceived value of foresight processes was identified, as a result of the illusion of control and individual practices of these activities. These results contribute to the understanding of the low adherence of foresight processes, from the perspective of cognitive biases attributed to the decision-maker.
Program Ekoliterasi sebagai Upaya Meningkatkan Fokus Siswa Slow Learner di SDN 2 Sukowinangun Kabupaten Magetan

Penelitian ini bertujuan untuk meningkatkan fokus pada siswa slow learner di SDN 2 Sukowinangun Kabupaten Magetan. Akar masalah yang ditemukan dari hasil studi pendahuluan dan diskusi dengan guru adalah siswa slow learner menunjukkan perilaku yang sulit untuk fokus dengan pembelajaran sebab kegiatan belajar di dalam kelas tidak memfasilitasi kelebihan energi sekaligus tidak memotivasi siswa slow learner untuk terlibat dalam pembelajaran. Oleh karena itu solusi yang dipilih dalam penelitian ini adalah dengan membuat program ekoliterasi yang berpusat pada memelihara tumbuhan dan hewan di kebun sekolah dan digabung dengan kegiatan membaca permulaan. Penelitian ini dirancang dengan rancangan kualitatif dengan jenis penelitian tindakan yang dilangsungkan selama dua siklus. Siklus satu dilaksanakan selama satu bulan sedangkan siklus dua berlangsung selama dua bulan. Instrumen penelitian yang digunakan adalah lembar observasi perilaku ketidakfokusan siswa terhadap kegiatan pembelajaran. Hasil penelitian menunjukkan pada akhir siklus dua bahwa ketidakfokusan siswa berkurang dari pra-siklus dengan laju rata-rata pengurangan 30 sampai 40%.
Clinical profile of young females with systemic lupus erythematosus: an observational study

Background: Systemic lupus erythematosus (SLE) is an autoimmune disorder predominantly affecting women of child bearing age group and is known to require significant lifestyle modifications. The manifestations of SLE are myriad and it may virtually affect every system of affected individual. We Undertook this study to know the clinical profile of young female patients having SLE. The aim of the study was to study clinical features and medical therapy of young female patients having SLE.Methods: This was a prospective study in which 60 female patients diagnosed to be having lupus were included on the basis of a predefined inclusion and exclusion criteria. Investigations relevant to the diagnosis such as Antinuclear antibodies, Antiphospholipid Antibodies, Anti B2GP1 IgG, Anti-dsDNA antibody, Anti Smith Antibody and complement (C3 and C4) levels were done in all the cases. Other investigations such as imaging studies were done in selected cases. Clinical features and medical management being taken by these patients were analyzed. SSPS 21.0 software was used for statistical purpose.Results: The mean duration of the disease in studied cases was found to be 6.96±4.51 years. Malar rash was the commonest type of rash seen in these patients and was present in 53 (88.33%). Arthralgia with or without arthritis was seen in 54 (90%) of the cases. Anemia was the most common hematological abnormality and was seen in 17 (28.33%) patients. Renal involvement in the form of proteinuria was seen in 25 (41.67%) cases. The most common form of pulmonary involvement was pleural effusion which was seen in 4 (6.67%) patients. Cardiovascular manifestations were seen in 11 patients (18.33%). Conclusions: SLE usually affect women of child bearing age group and have a myriad clinical presentation. A thorough knowledge of various clinical presentations and a high index of suspicion is necessary to diagnose SLE particularly in its early stages.
Are any samples representative or unbiased? reply to Pickering and Blaszczynski

ABSTRACT Pickering and Blaszczynski’s paper (2021) claims that the problem gambling rate is inflated in paid online convenience and crowdsourced samples. However, there is a methodological flaw in their findings: they combined problem gambling rates from samples that are specific by design (e.g. at-least monthly sports bettors), and compared them to a problem gambling prevalence estimate from the general population. Pickering and Blaszczynski conflate three constructs: representativeness, bias and data quality. Data quality can be optimized through protections and checks, but these do not necessarily make samples more representative, or less biased. Many of the biases present in paid online convenience samples (e.g. self-selection biases) also apply to the gold standard of random digit dial telephone surveys, which is manifestly evident in very low response rates. These biases are also present in industry-recruited and venue-recruited samples, as well as samples of university students and treatment-seeking clients. Paid online convenience samples also have clear benefits. For example, it is possible to obtain large samples of very specific subgroups. Online surveys may reduce bias associated with self-reporting potentially stigmatizing conditions, like problem gambling. It is important not to discount research simply because it uses a paid online convenience or crowdsourced sample.
Distillery decarbonisation and anaerobic digestion: balancing benefits and drawbacks using a compromise programming approach

The anaerobic digestion (AD) of distillery by-products presents benefits such as greenhouse gas (GHG) emission savings and electricity savings, as well as drawbacks such as reduced animal feed and protein production and the potential import of animal feeds. This work balances these benefits and drawbacks using compromise programming (CP). The best combination of by-products (from 9,261 scenarios) to use in AD was selected based on criteria chosen by management of a large distillery. The use of all by-products maximises benefits and drawbacks; the contrary also applies. When benefits and drawbacks are equally important, CP recommends using 50% of available draff, 50% of available thick stillage, and 55% of available thin stillage. The best combination when accounting for criteria weights chosen by distillery management is the use of 100% of available draff and 100% of available thick stillage. This could replace 48% of natural gas consumption at the distillery, reduce Scope 1 emissions by 45%, achieve a Scope 3 emissions savings of 22% of current Scope 1 emissions, and reduce electricity consumption in the feeds recovery plant of the distillery by 63%. Protein loss of 9,618 t could require the import of 19.59 kilo-tonne wet weight of material (ktwwt) of distillers grains and 9.15 ktwwt of soybean meal. If different criteria or criteria weights were used, a different result would be recommended. The methodology developed herein can aid in decarbonising the food and beverage industry by allowing decision-makers to balance the benefits and drawbacks of AD while accounting for subjective preferences.
SolDetector: Detect Defects Based on Knowledge Graph of Solidity Smart Contract

—Smart contract security is one of core security issues in the application of blockchain. In recent years, attacks on smart contracts occur frequently, there are a lot of researches concerning on smart contract security issues. However, almost all solutions proposed in these researches are low precision and high False Negative Rate(FNR). In this paper, we propose a defect detection method for checking security of Solidity smart contract based on knowledge graph. Therefore, we ﬁrst construct knowledge graph of smart contracts by fully integrating syntax and semantic information of Solidity source code; then, we deﬁne defect patterns by analyzing defect characteristics; furthermore, we deﬁne inference rules for defects based on knowledge graph and defect patterns; ﬁnally, we detect defects by SPARQL query. We also implement a tool named SolDetector and perform experiment on three different datasets, which shows that SolDetector is effective and efﬁcient.
Kidney Failure after Liver Transplantation

One-third of patients with cirrhosis present kidney failure (AKI and CKD). It has multifactorial causes and a harmful effect on morbidity and mortality before and after liver transplantation. Kidney function does not improve in all patients after liver transplantation, and liver transplant recipients are at a high risk of developing chronic kidney disease. The causes of renal dysfunction can be divided into three groups: pre-operative, perioperative and post-operative factors. To date, there is no consensus on the modality to evaluate the risk of chronic kidney disease after liver transplantation, or for its prevention. In this narrative review, we describe the outcome of kidney function after liver transplantation, and the prognostic factors of chronic kidney disease in order to establish a risk categorization for each patient. Furthermore, we discuss therapeutic options to prevent kidney dysfunction in this context, and highlight the indications of combined liver–kidney transplantation.
Simultaneous variable selection and structural identification for time‐varying coefficient models

Time‐varying coefficient models are important tools in time series analysis due to their flexibility to fit non‐stationary data. To improve the accuracy of these models, it is important to identify covariates with null, constant and time‐varying effects and to estimate their coefficients. This article proposes a combination of the local linear smoothing method and the adaptive group lasso penalty approach to achieve covariate identification and coefficient estimation. The penalty term consists of two parts. The first term penalizes the norm of the coefficient function, which is used to select relevant variables. The second term penalizes the norm of the derivative function, which assesses the constancy of the coefficient functions. The asymptotic properties of the proposed methodology are established. Performance of the proposed method is demonstrated using simulated data along with an application to the analysis of the air quality and health data in Hong Kong.
Adaptability and grain yield stability of rice hybrids and varieties in Venezuela

The development of new high-performance and stable cultivars requires test multi-environmental validation to deal with the effect of genotype by environment interaction (GEI). With the objective to determine adaptability and stability for grain yield in hybrids and rice varieties through the models AMMI, SREG and REML/BLUP. Six experiments were evaluated during the 2015-2016 dry season in the main producing regions of Venezuela. The ANOVA detected differences for genotype (G), environment (E) and their interaction (GEI), representing 19, 65 and 16 % of the total variation, respectively, with prevalence of hybrid by localities interaction. The first major components of the AMMI and GGE biplot models explained 77 and 83 % of GEI, respectively. The three models coincided and identified the hybrid RHA-180 (H6) with improved average performance, adapted and stable. The hybrid HIAAL (H3) was the most prominent. Among the checks, 'Pionero FL' (V3) was the most stable with moderate yield; the opposite occurred with ‘Soberana FL’ (V4) and ‘SD-20A’ (V1), that the AMMI and GGE biplot models identified with high and unstable performances and specific adaptation to locality INIA Guárico (L1), not coinciding with the mixed model. Two megaenvironments were identified with the winning genotypes H6 and V4. There was divergence between AMMI and GGE biplot to identify discriminatory and representative locations. The Plot 199 (L3) was the most representative, while the location L1 discriminated better the genotypes. The GGE biplot analysis was more informative and complete for the GEI analysis. Additional keywords: AMMI, GGE biplot, Oryza sativa, REML/BLUP
Composite Films of Thermoplastic Starch and CaCl2 Extracted from Eggshells for Extending Food Shelf-Life

Calcium chloride (CaCl2) has been widely used to maintain the quality of fresh-cut fruits and vegetables because it stabilizes and strengthens the membrane system against fungal attacks. It is mainly applied via spray coating and dip coating techniques. This study explored a method of incorporating calcium chloride extracted from eggshells in a packaging material, thermoplastic starch (TPS), via a hot-melt extrusion process. The composites were characterized by FTIR, DSC, SEM-EDX and tensile testing. FTIR confirmed the chemical reactions between CaCl2 and TPS. DSC results showed a significant decrease in the heat of fusion by adding 20 wt% of CaCl2 content in TPS, indicating a drop in the degree of crystallinity. The Young’s modulus of TPS was not significantly affected by the incorporation of 10 wt% CaCl2 (P = 0.968), but reduced notably with the addition of 20 wt% CaCl2 (P = 0.05), indicating the plasticizer effect of the CaCl2. Physiochemical analysis of fresh-cut apple slices was assessed. Samples placed on the surface of the TPS/CaCl2 composites displayed less pH reduction, reduced antioxidant activity, more weight loss and increased reducing sugar compared to the samples placed on the surface of virgin TPS films. CaCl2 released from the TPS/CaCl2 films was measured and their antimicrobial activity was confirmed by bacterial inhibitory growth assessment. Fungal growth was observed on apple slices placed on virgin TPS film by day 21 while apple slices placed on TPS/CaCl2 20 wt% composites did not support any fungal growth for 28 days. In summary, TPS and eggshell-extracted CaCl2 showed the ability to maintain the quality of fresh-cut apples, and TPS/CaCl2 10 wt% composite could be a good option as a packaging material for fresh-cut fruits due to active antimicrobial activity and maintained Young’s modulus.
Why do growth mindsets make you feel better about learning and your selves? The mediating role of adaptability

ABSTRACT We argue that growth (vs. fixed) mindsets are important for positive emotions and self-development because growth mindsets can foster adaptability, referring to the ability to adjust oneself in different circumstances. This study examines the role of mindsets in adaptability and whether adaptability, in turn, predicts learning emotions (anxiety and enjoyment), self-concept, and self-efficacy. The data were collected through self-report questionnaires from 211 (141 females and 70 males, Mage = 17.2 years, SDage = 6.8) Iranian intermediate language learners. The path analysis results showed that fixed mindsets negatively predicted anxiety, enjoyment, self-concept, and self-efficacy through the mediation of adaptability, whereas growth mindsets positively predicted enjoyment, self-concept, and self-efficacy and negatively predicted anxiety through adaptability. The results held even after accounting for ideal L2 self and perceived competence. These findings highlight that growth mindset is an essential factor for developing positive learning emotions and self in foreign language classrooms.
Constrained controllability of discrete-time bilinear systems

In real systems, control inputs are often constrained, and the constrained controllability problems are far more difficult to deal with than the unconstrained controllability ones. In this paper, we consider the constrained controllability problem of discrete-time bilinear systems. Specifically, we study the bounds of the control inputs for the systems to be controllable. Our approach is to first prove constrained near-controllability of a special class of bilinear system and then use constrained near-controllability to approximate constrained controllability of general bilinear systems. Based on this approach, we derive conditions for constrained controllability of the systems, where the upper bound of the control inputs can be easily computed. Algorithms and examples are provided to demonstrate the results of this paper.
Synthesis of a Lubricant to Mimic the Biorheological Behavior of Osteoarthritic and Revision Synovial Fluid

The rheological properties of synovial fluid (SF) are essential for the friction behavior and wear performance of total joint replacements. Standardized in vitro wear tests for endoprosthesis recommend diluted calf serum, which exhibits substantial different rheological properties compared to SF. Therefore, the in vitro test conditions do not mimic the in vivo conditions. SF samples from osteoarthritis knee patients and patients undergoing knee endoprosthesis revision surgery were compared biochemically and rheologically. The flow properties of SF samples were compared to synthetic fluid constituents, such as bovine serum albumin (BSA) and hyaluronic acid (HA). Interestingly, HA was identified as a significant contributor to shear-thinning. Using the acquired data and mathematical modelling, the flow behavior of human SF was modelled reliably by an adapted adjustment of biorelevant fluid components. Friction tests in a hard/soft bearing (ceramic/UHMWPE) demonstrated that, in contrast to serum, the synthetic model fluids generate a more realistic friction condition. The developed model for an SF mimicking lubricant is recommended for in vitro wear tests of endoprostheses. Furthermore, the results highlight that simulator tests should be performed with a modified lubricant considering an addition of HA for clinically relevant lubrication conditions.