Miracle-dz/UniFAR-FTUs huggingface dataset:
Anti-mullerian Hormone Serum Level as a Predictor of Responsiveness to Clomiphene Citrate Therapy in Iraqi Women with PCOS

BACKGROUND: Ovulation induction in polycystic ovarian syndrome is one of the most common interventions used in the treatment of infertility and prediction of the response is very important. Although the serum anti-mullerian hormone (AMH) concentrations are known to be a reliable predictor of ovarian response in in vitro fertilization, in women with polycystic ovary syndrome (PCOS) with a higher level of AMH ovulation induction by clomiphene citrate may be not enough to increase the level of follicle-stimulating hormone and reduce the intraovarain AMH to a level that compatible with the restoration of ovulation. AIM: Our study aimed to identify those females who will respond to treatment and the starting dose of anti-mullerian hormone serum level as a predictor of responsiveness to clomiphene citrate therapy in Iraqi women with PCOS. METHODS: 79 females with polycystic ovarian syndrome were included in the study. AMH serum concentrations were determined on the second or 3rd day of the early follicular phase of the menstrual cycle before initiating clomiphene citrate in the first treatment cycle. RESULTS: The females were falling-out into two groups according to their response to treatment. The patient who ovulated had a significantly lower AMH level among responders 7.89 +−3.2 compared to non-responder 9.41 +−3.27. The women who responded at 50 mg dose had lower AMH 6.56 +−2.2 compared to women who responded at 100mg clomiphene citrate had AMH of 8.74 +−3 with optimum cutoff value for AMH is 6.25 to respond. CONCLUSION: Serum AMH level measurement prior to treatment initiation in women with PCOS may be a useful method for predicting the outcome of clomiphene citrate treatment, and for each specific ethnic group, there is a cutoff value for AMH above which the response to clomiphene citrate is impaired.
Nutrient Sensing via Gut in Drosophila melanogaster

Nutrient-sensing mechanisms in animals’ sense available nutrients to generate a physiological regulatory response involving absorption, digestion, and regulation of food intake and to maintain glucose and energy homeostasis. During nutrient sensing via the gastrointestinal tract, nutrients interact with receptors on the enteroendocrine cells in the gut, which in return respond by secreting various hormones. Sensing of nutrients by the gut plays a critical role in transmitting food-related signals to the brain and other tissues informing the composition of ingested food to digestive processes. These signals modulate feeding behaviors, food intake, metabolism, insulin secretion, and energy balance. The increasing significance of fly genetics with the availability of a vast toolbox for studying physiological function, expression of chemosensory receptors, and monitoring the gene expression in specific cells of the intestine makes the fly gut the most useful tissue for studying the nutrient-sensing mechanisms. In this review, we emphasize on the role of Drosophila gut in nutrient-sensing to maintain metabolic homeostasis and gut-brain cross talk using endocrine and neuronal signaling pathways stimulated by internal state or the consumption of various dietary nutrients. Overall, this review will be useful in understanding the post-ingestive nutrient-sensing mechanisms having a physiological and pathological impact on health and diseases.
Characterization and Toxicity Evaluation of Broiler Skin Elastin for Potential Functional Biomaterial in Tissue Engineering

Broiler skin, a by-product of poultry processing, has been proven to contain essential elastin, a high-value protein with many applications. The present study reported the extraction of water-soluble elastin from broiler skin by using sodium chloride (NaCl), sodium hydroxide (NaOH), and oxalic acid treatment before freeze-drying. Chemical characterization such as protein and fat content, Fourier-transform infrared (FTIR) spectroscopy, amino acid composition and thermal gravimetric analysis (TGA) were performed and compared with commercial elastin from bovine neck ligament. The resultant elastin’s toxicity was analyzed using an MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) tetrazolium assay and primary skin irritation test. Results showed a high quality of the extracted-elastin with the presence of a high amount of proline (6.55 ± 0.40%) and glycine (9.65 ± 0.44%), low amount of hydroxyproline (0.80 ± 0.32%), methionine (2.04 ± 0.05%), and histidine (1.81 ± 0.05%) together with calculated 0.56 isoleucine/leucine ratio. FTIR analysis showed the presence of typical peaks of amide A, B, I, and II for protein with high denaturation temperature around 322.9 °C. The non-toxic effect of the extracted elastin was observed at a concentration lower than 0.5 mg/mL. Therefore, water-soluble elastin powder extracted from broiler skin can be an alternative source of elastin as a biomaterial for tissue engineering applications.
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions

Co-movement among individual firms’ stock prices can reflect complex interfirm relationships. This paper proposes a novel method to leverage such relationships for stock price predictions by adopting inductive graph representation learning on dynamic stock graphs constructed based on historical stock price co-movement. To learn node representations from such dynamic graphs for better stock predictions, we propose the hybrid-attention dynamic graph neural network, an inductive graph representation learning method. We also extended mini-batch gradient descent to inductive representation learning on dynamic stock graphs so that the model can update parameters over mini-batch stock graphs with higher training efficiency. Extensive experiments on stocks from different markets and trading simulations demonstrate that the proposed method significantly improves stock predictions. The proposed method can have important implications for the management of financial portfolios and investment risk. Summary of Contribution: Accurate predictions of stock prices have important implications for financial decisions. In today’s economy, individual firms are increasingly connected via different types of relationships. As a result, firms’ stock prices often feature synchronous co-movement patterns. This paper represents the first effort to leverage such phenomena to construct dynamic stock graphs for stock predictions. We develop hybrid-attention dynamic graph neural network (HAD-GNN), an inductive graph representation learning framework for dynamic stock graphs to incorporate temporal and graph attention mechanisms. To improve the learning efficiency of HAD-GNN, we also extend the mini-batch gradient descent to inductive representation learning on such dynamic graphs and adopt a t-batch training mechanism (t-BTM). We demonstrate the effectiveness of our new approach via experiments based on real-world data and simulations.
The Effects of Ultrasonic Scaling and Air-Abrasive Powders on the Decontamination of 9 Implant-Abutment Surfaces: Scanning Electron Analysis and In Vitro Study

(1) Background: The aim of this study is to understand from a microscopic point of view whether bicarbonate air-abrasive powders associated with ultrasonic instruments can decontaminate nine different surfaces used for the abutment/implant junction. Fibroblast growth was carried out on decontaminated surface in order to understand if there are significative differences in terms of biocompatibility. (2) Methods: After taking samples of patient plaque, nine different surfaces were contaminated and analyzed by SEM, then their wettability was evaluated. Fibroblasts were cultured on the decontaminated surfaces to understand their ability to establish a connective tissue seal after decontamination. The results were analyzed from a statistical point of view to hypothesize a mathematical model capable of explaining the properties of the surfaces. (3) Results: A negative correlation between roughness and contamination has been demonstrated, whereas a weak correlation was observed between wettability and decontamination capacity. All surfaces were topographically damaged after the decontamination treatment. Grade 5 titanium surfaces appear tougher, whereas anodized surfaces tend to lose the anodizing layer. (4) Conclusions: further studies will be needed to fully understand how these decontaminated surfaces affect the adhesion, proliferation and differentiation of fibroblasts and osteoblasts.
Systematic Exploration and Classification of Useful Comments in Stack Overflow

Stack Overflow is a public platform for developers to share their knowledge on programming with an engaged community. Crowdsourced programming knowledge is not only generated through questions and answers but also through comments which are commonly known as developer discussions. Despite the availability of standard commenting guidelines on Stack Overflow, some users tend to post comments not adhering to those guidelines. This practice affects the quality of the developer discussion, thus adversely affecting the knowledgesharing process. Literature reveals that analyzing the comments could facilitate the process of learning and knowledge sharing. Therefore, this study intends to extract and classify useful comments into three categories: request clarification, constructive criticism, and relevant information. In this study, the classification of useful comments was performed using the Support Vector Machine (SVM) algorithm with five different kernels. Feature engineering was conducted to identify the possibility of concatenating ten external features with textual features. During the feature evaluation, it was identified that only TFIDF and N-grams scores help classify useful comments. The evaluation results confirm Radial Basis Function (RBF) kernel of the SVM classification algorithm performs best in classifying useful comments in Stack Overflow regardless of the usage of the optimal combinations of hyperparameters. Keywords—Stack overflow; useful comments; machine learning; SVM; classification
Nitrogen fertilizer management on wheat yield and nitrogen utilization

Abstract This study was conducted to realize the synergistic improvement of high efficiency nitrogen utilization and wheat economic yield, where two treatments of traditional farmer fertilization (TFF) and nitrogen fertilizer precision management (NFPM) were set up. Under the condition of NFPM, the grain yield of wheat increased by 7.9%∼11.6%, nitrogen application rate decreased by 30.2%∼44.8%, nitrogen uptake efficiency increased by 43.4%∼63.3%, nitrogen apparent utilization efficiency increased by 30.7%∼68.7%, and nitrogen agronomic efficiency increased by 50.6%∼81.3%. It confirmed that NFPM based on the characteristics of wheat fertilizer demand can significantly reduce the amount of nitrogen fertilizer input and achieve a higher yield level, which provides a theoretical basis for the realization of the synergistic goal of nitrogen reduction and efficiency increase.
Yield Variation Characteristics of Red Paddy Soil under Long-Term Green Manure Cultivation and Its Influencing Factors

Rice is an important food crop in China, fertilization measures significantly affect soil properties and ultimately change rice yield. Thus, examining the effects of long-term green manure cultivation on the rice yield and the driving factors on rice yield, plays a crucial role in maintaining food security. Based on the long-term green manure cultivation, the treatments included no fertilizer (CK), chemical fertilizer (NPK), chemical fertilizer + Chinese milk vetch (NPK + GM), chemical fertilizer + Chinese milk vetch + rice straws (NPK + GM + S), and chemical fertilizer + Chinese milk vetch + pig manure (NPK + GM + M) treatments. One-way repeated ANOVA was used to determine the effects of diverse fertilizer modes on temporal variations in rice yields. The redundancy analysis (RDA) was used to calculate the magnitudes of the effects of soil properties on rice yield. Compared with the CK treatment, four fertilizer treatments led to significantly increased double-season rice yields (116.40–124.49%), with no significant difference between four fertilizer treatments (p > 0.05). There were five soil properties accounting for 66.3% variation in rice yield (p < 0.05), with available potassium (AK) being the most influential factor (32.2% variation), whereas potential of hydrogen (pH), total nitrogen (TN), total phosphorus (TP), and soil organic carbon (SOC) accounted for 15.3%, 10.5%, 5.1%, and 3.2% variation in rice yield (p < 0.05), respectively. Thus, SOC, TN, TP, AK, and pH were major factors affecting the double-season rice yield of red paddy soil under long-term green manure cultivation. However, the results suggested that the effect of green manure on soil fertility is limited by the relatively large amount of chemical fertilizer. The results reported herein can not only increase soil fertility and improve the soil ecological environment, but also enhance and stabilize the yields of double-season rice grown in the red paddy soil of southern China.
Unrelated bone marrow transplantation improves Crohn's disease in a patient with myelodysplastic syndrome that developed from aplastic anemia: A case report

The present study describes the case of a 56‐year‐old male who was admitted to hospital due to pancytopenia. He was diagnosed as having acquired severe aplastic anemia (SAA). Immunosuppressive therapy with cyclosporine was transiently effective; however, the pancytopenia recurred. Bone marrow aspiration did not reveal an increased number of blasts, although it revealed trilineage dysplasia. Chromosomal analysis of the bone marrow demonstrated der(1;7) with abnormalities on chromosome 1. A diagnosis of a transfor‐ mation from SAA to myelodysplastic syndrome (MDS) was made. High‐grade fever and lower abdominal pain developed at approximately the same time. The patient was diagnosed as having Crohn's disease (CD). Treatment consisting of mesala‐ zine and adalimumab was commenced. After two courses of azacitidine treatment, allogeneic bone marrow transplantation was performed, preceded by a reduced‐intensity conditioning regimen, including fludarabine, cytarabine and cyclophospha‐ mide. Tacrolimus and short‐term methotrexate were used as prophylaxis against graft‐versus‐host disease. Chromosomal analysis of the bone marrow revealed a 100% donor‐derived abnormal karyotype. The patient has since then remained in complete remission of both MDS and CD. On the whole, the present study demonstrates that allogeneic hematopoietic stem cell transplantation may be a promising treatment strategy for patients with combined MDS and CD. However, its use should be carefully considered. Introduction Acquired severe aplastic anemia (SAA) is regarded as a result of the immune‐mediated destruction of hematopoietic cells (1). Aplastic anemia (AA) may co‐exist with or appear to evolve to myelodysplastic syndrome (MDS) (1). MDS is a clonal disorder characterized by cytopenia arising from ineffective hematopoiesis and is associated with an increased risk of developing acute myeloid leukemia (AML) (2). Crohn's disease (CD) is a chronic inflammatory disorder of the gastrointestinal tract. CD is characterized by the presence of transmural inflammation and endoscopic findings of longitudinal ulcers or skip lesions. The concurrent presence of MDS and CD has been reported (3‐6). However, reports of patients treated with allo‐ geneic hematopoietic stem cell transplantation (allo‐HSCT) for MDS in which CD improved are rare, particularly in Japan. The present study describes the case of a 56‐year‐old male with CD who achieved complete remission (CR) following allogeneic bone marrow transplantation (allo‐BMT) for high‐risk MDS.
Impacts of climate change on extreme precipitation in the upstream of Chushandian Reservoir, China

Analysis of trends in extreme precipitation events within a basin is essential to reliably predict future changes and to inform adaptation strategic planning. Based on daily data from eight stations in the upper basin of Chushandian Reservoir from 1957 to 2017, and Multi-model outputs from four Global Climate Models in CMIP6, we calculated the extreme precipitation index. Mann-Kendall method and linear trend analysis were used to examine the spatial and temporal variability of the extreme precipitation index. The results show that there is a clear downward trend in precipitation and precipitation intensity from 1957 to 2017 (represented by RX1day, RX5day, R10 mm, R20 mm, and SDII), and an upward trend in the annual scales of R95p, R99p, CWD, and CDD. The trend of the extreme precipitation index (represented by PRCPTOT, R20 mm, R95p, and SDII) in future periods is decreasing in 2020–2050 and then increasing in 2060–2100, with a significant increasing trend after the 2060s. These findings indicate that total precipitation, the frequency, and persistence of extreme precipitation are on the increase, and the future situation of extreme precipitation is severe, especially in autumn, followed by summer.
International Icodextrin Use and Association with Peritoneal Membrane Function, Fluid Removal, Patient and Technique Survival

Key Points There are important national and center differences in the prescription of icodextrin, with the United States a clear outlier; across all countries, icodextrin was more likely to be used if membrane function tests indicated reduced ultrafiltration capacity to glucose. This large, international observational study was unable to show patient or hemodialysis transfer advantages to icodextrin use. Where use of icodextrin was low, this was compensated for by much greater use of high glucose and overall higher ultrafiltration volumes at each level of urine volume; this practice may confound associations between icodextrin and survival outcomes. Visual Abstract Background Icodextrin has been shown in randomized controlled trials to benefit fluid management in peritoneal dialysis (PD). We describe international icodextrin prescription practices and their relationship to clinical outcomes. Methods We analyzed data from the prospective, international PDOPPS, from Australia/New Zealand, Canada, Japan, the United Kingdom, and the United States. Membrane function and 24-hour ultrafiltration according to icodextrin and glucose prescription was determined at baseline. Using an instrumental variable approach, Cox regression, stratified by country, was used to determine any association of icodextrin use to death and permanent transfer to hemodialysis (HDT), adjusted for demographics, comorbidities, serum albumin, urine volume, transplant waitlist status, PD modality, center size, and study phase. Results Icodextrin was prescribed in 1986 (35%) of 5617 patients, >43% of patients in all countries, except in the United States, where it was only used in 17% and associated with a far greater use of hypertonic glucose. Patients on icodextrin had more coronary artery disease and diabetes, longer dialysis vintage, lower residual kidney function, faster peritoneal solute transfer rates, and lower ultrafiltration capacity. Prescriptions with or without icodextrin achieved equivalent ultrafiltration (median 750 ml/d [interquartile range 300–1345 ml/d] versus 765 ml/d [251–1345 ml/d]). Icodextrin use was not associated with mortality (HR=1.03; 95% CI, 0.72 to 1.48) or HDT (HR 1.2; 95% CI, 0.92 to 1.57). Conclusions There are large national and center differences in icodextrin prescription, with the United States using significantly less. Icodextrin was associated with hypertonic glucose avoidance but equivalent ultrafiltration, which may affect any potential survival advantage or HDT.
Pre-Posttest: Diagnosis of the Achievement Level on Sustainable Business Workshop

There are various ways to measure an achievement level on the activity to develop a sustainable business. This study is used to serve as a reference in designing appropriate developmental programs for small business actors. This study aims to analyze the effectiveness of the pre-posttest technique in diagnosing the achievement level of the workshop on sustainable culinary business. The population was 15 culinary SMEs in Surabaya who participated in a sustainable business workshop. The pre-posttest was evaluated using 10 indicators (by selecting correct/B and incorrect/S) to measure the participants’ understanding. Data were analyzed using the t-test technique. Results show that the preposttest technique was unable to measure the achievement level of the workshop on the sustainable culinary business. Thus, the pre-posttest technique will not appropriately be used to measure the achievement level of other similar activities/programs to develop a sustainable business.
The Impact of the Cloud Computing Model on Functioning and Competitive Abilities of SMEs

The aim of this paper is to analyze the potential impact of utilization of the cloud computing model by small and medium sized enterprises (SMEs) on their functioning and ability to compete effectively. It is composed of six parts. The first part offers a brief overview of the development of these new technologies and their impact on businesses. The next part is focused on the notion of cloud computing, the basic elements of this model and the most important reasons for its development. The following part is devoted to an analysis of the benefits to SMEs of using the cloud computing model, while the fourth part focuses on the most significant challenges connected to its use. The fifth part discusses the most important elements connected to the implementation of cloud computing solutions. The final part of the paper provides a summary of the most significant conclusions.
Chemical Priming with β-aminobutyric acid (BABA) for Seedling Vigor in Wheat (Triticum aestivum L.)

To achieve efficiency in seedling development, the seed must germinate quickly and homogeneously. Pre-sowing applications such as priming are practiced to eliminate or reduce the negative effects of environmental factors through germination and seedling development. This allows to reach a higher germination rate, yield, and desired plant density, especially by protecting against biotic and abiotic stresses. This study was carried out to examine the effects of pre-sowing seed applications on seedling growth and vigor of bread wheat (Triticum aestivum L.). Three different doses of β-amino-n-butyric acid (BABA) were used as seed priming agents and Dimethyl sulfoxide (DMSO) as control groups. The study was carried out according to the completely randomized factorial design with three replications and ten plants per replication. As a result of priming applications, significantly higher values in the number of roots, longest root length, total root length, average root length and shoot fresh weight were obtained compared to control. Our results, for the first time, showed that seed priming with BABA had a promoting effect on many aspects of early seedling growth in bread wheat. This is a preliminary study to understand the mechanism of seed priming and its effects on germination and root growth in wheat. Further studies may shed light on the molecular mechanisms of BABA or other compounds as seed priming agents, benefits for abiotic and biotic stress tolerance, and good stand establishment at the seedling or later stages.