Miracle-dz/UniFAR-FTUs huggingface dataset:
Earthquake cycle and continental deformation along the Peruvian subduction zone

The Nazca/South American subduction zone is one of the most active regions on Earth. Large earthquakes and associated tsunamis occur recurrently almost all along its margin. Nevertheless, the ~1000 km long (from lat.2oS to 9oS) segment in northern Peru and southern Ecuador subduction has remained in relative seismic silence for at least the past five centuries. Before the work presented in this thesis, no information about the processes accommodating the convergence was available for this region and it was impossible to answer whether it could host a great Mw>8.5 earthquake in future or not. Nowadays, spatial geodesy, and more specifically GPS/GNSS enable us to quantify the surface displacement on the overriding plate with millimeter accuracy. Geodetic measurements together with the use of elastic models allow us to determine the amount of interseismic coupling at the plate interface. My thesis focuses on the seismic cycle and the continental deformation along the Peruvian subduction margin, with particular interest along its northern and central segments. We use GPS measurements acquired since 2008 in the frame of an international French-Peruvian- Ecuadorian project (the Andes Du Nord project, ADN). Our GPS velocity field covers the entire Peruvian subduction margin, with measurements in the Andean cordillera and part of the sub-Andean region. Modeling of GPS velocity field show the existence of a new tectonic microplate that we baptized as the Inca Sliver, which is in southeastward translation a rate of 4-5 mm/yr with respect to stable South America.
Aerobic Exercise Increases Release of Growth Hormone in the Blood Circulation in Obese Women

Physical exercise is one of the modulators in increasing the release of growth hormone (GH) levels in blood circulation, but the effective exercise model for obese subjects is still being debated. Therefore, this study aims to prove the effect of aerobic exercise on increasing the release of GH levels in the blood circulation in obese women. A total of 20 obese adult women, aged 21.00 ± 1.08 years were selected to be subjects in the study and were given one aerobic exercise intervention by running on a treadmill at moderate-intensity (60-70% HRmax) for 40 minutes. The ELISA method was used to measure the release of GH levels in all samples (pre- and post-exercise). Statistical analysis in this study used an independent sample t-test with a significant level of 5%. The results showed that the release of GH levels in the blood circulation was found to be higher in post-exercise compared to pre-exercise after one session of aerobic exercise (484.92±128.29 vs 892.63±273.54 pg/mL; p=0.001) and has a large effect size with a Cohen's d value of 1.909. GH levels in the post-exercise blood circulation in the aerobic exercise group (Exr) were also found to be higher than the GH levels in the control group (Ctr) (892.63±273.54 vs 542.97±140.01 pg/mL; p=0.003) and has a large effect size with a Cohen's d value of 1.609. This study proves that one session of aerobic exercise with moderate intensity increases the release of circulating GH levels in obese women. Therefore, aerobic exercise with moderate intensity can be used as an alternative therapy option to increase the release of circulating GH levels in individuals with obesity. Keywords: aerobic exercise, growth hormone, metabolism, obesity.
Analysis, Modelling and Cancellation of Acoustic Disturbances in DC Motors

The acoustic behaviour of electric motors is becoming increasingly important. This work aims on modelling sound generation and reducing acoustic noise for DC motors with a novel control algorithm. It proposes an experimental validated Modelling approach from control-engineering point of view. For the validation, an extended current control scheme based on the internal model principle is used to compensate harmonic disturbances in the control loop. It is shown that the acoustic disturbances generated by a DC motor can be modelled dependent on the motor current, the rotor angle and the motor speed. Based on this finding we developed a novel control scheme for active noise cancellation. This system utilizes a harmonic current controller. One main advantage is that there is no loudspeaker or piezoelectric element necessary. It only controls the drives own current for noise compensation. The proposed control scheme requires an angular position sensor and an acceleration sensor.
21. ELECTRICAL CONDUCTION IN OCEANIC DIKES, HOLE 504B1

Porosity, cation-exchange capacity (CEC), and electrical conductivity have been measured on 28 doleritic minicores from Deep Sea Drilling Project (DSDP) and Ocean Drilling Program (ODP) Hole 504B (Legs 137, 140, and 148). Conductivity experiments were performed under five different saturating-fluid salinities, at room temperature and pressure, and with a twoelectrode conducting cell. At 4 kHz, the porosity is related to the "intrinsic" formation factor by an inverse power law similar to Archie's formula F = a Φ"m with m = 0.94 and a = 16 for the fine-grained specimens. Such a low m value suggests a current conduction in cracks and microcracks present at mineral scale throughout the rock. The presence of clays as alteration products is reflected by the high values of CEC. As expected, Qv/F (where Qv is the CEC per unit pore volume) and the surface conductivity are well correlated. This point leads to an estimate of the surface tortuosity. The temperature dependence of the surface conductivity is extracted using data on DC electrical conductivity at different temperature. For temperature correction purposes, a linear temperature dependence appears to be a good estimate for this parameter. On the basis of these results, an equation was given that allows estimation of the porosity from resistivity measurements in Hole 504B. This equation was tested by comparing the predicted conductivity against the measured conductivity of a large set of samples.
Dienogest in endometriosis treatment: A narrative literature review

Endometriosis is characterized by the implantation of endometrial cells outside the uterus. This hormone-dependent disease is highly prevalent among women of reproductive age. Clinical symptoms of endometriosis include dysmenorrhea, pelvic pain, and infertility, which can negatively impact the overall quality of life of those affected. The medical treatment of endometriosis serves as an important therapeutic option, aimed at alleviating pain associated with the condition and suppressing the growth of endometriotic lesions. As such, it is employed as an adjuvant therapy following surgery or an empirical treatment after the clinical diagnosis of endometriosis. Dienogest, a fourth-generation progestin, has received approval for the treatment of endometriosis in many countries. A growing body of evidence has demonstrated its efficacy in managing endometriosis-associated pain, preventing symptoms, and reducing lesion recurrence. In this review, we examine the clinical efficacy, safety, and tolerability of dienogest in treating endometriosis. We also provide updated findings, drawing from clinical studies that focus on the long-term use of this medication in patients with endometriosis.
Preoperative Balloon-Occluded Transcatheter Arterial Chemoembolization Followed by Surgical Resection: Pathological Evaluation of Necrosis

This study investigates the clinical and pathological outcomes of preoperative balloon-occluded transcatheter arterial chemoembolization (B-TACE) in patients with single hepatocellular carcinoma (HCC). The data are from 25 consecutive patients who underwent sequential treatment of subsegmental B-TACE and hepatic surgery for single HCC. Radiological and pathological evaluation of oily subsegmentectomy, defined as the iodized oil-laden necrotic area that includes the entire HCC and surrounding liver parenchyma, were performed. Subsegmental B-TACE was technically successful in all patients. The major and minor complication rates were 8% and 24%, respectively. On the first follow-up computed tomography (CT), oily subsegmentectomy was observed in 18 (72%) out of 25 patients. Apart from one patient showing a partial response, the remaining 24 (96%) patients showed a complete response. Pathological complete necrosis of the HCC was observed in 18 (72%) out of 25 patients with complete or extensive necrosis of the peritumoral liver parenchyma. The remaining seven patients without peritumoral parenchymal necrosis had extensive necrosis of the HCCs. In conclusion, preoperative B-TACE can be a safe and effective method for the treatment of single HCC and a good bridge treatment for subsequent surgical resection. In addition, oily subsegmentectomy itself on the CT can be a good predictor of pathological complete necrosis of the HCC. The findings obtained from this study would provide a potential role of B-TACE in the treatment strategy for single HCC.
Enhanced Cost Benefit Analysis of IDB Waste Water Treatment Projects with Special Consideration to Environmental Impacts: Lessons Learned from a Review of Four Projects

Development projects have a wider set of impacts than just direct project outputs. A hydropower dam, for example, produces electricity but also disrupts river flows and may affect biodiversity and the general aquatic environment. A new port development may affect coastal resources such as mangroves and coral reefs. Coal-fired power plants affect both the local and the global environments through emissions of ash and dust (affecting mostly the local environment) as well as greenhouse gases (affecting the global environment). Sewage and sanitation projects provide new services to consumers but also change the quantity and quality of wastewater released into the environment. An enhanced economic analysis allows this wider range of impacts -both benefits and costs- to be taken into account. This approach follows the IDB's operational directives (OP 703, Directives B.5 and B.9) and is explained in an IDB Technical Note IDB-TN-428 (Dixon, 2012). This paper builds upon existing analyses of four recent IDB projects to apply this approach. The projects selected for this study deal with the water sector and range in monetary value from US$9.5 million (Guyana) to US$246.5 million (Trinidad and Tobago), with Paraguay (US$20 million) and Uruguay (US$118.6 million) in between.
Deep Learning-Based Joint Optimization of Closed-Loop FDD mmWave Massive MIMO: Pilot Adaptation, CSI Feedback, and Beamforming

To alleviate severe attenuation of millimeter-wave (mmWave) channel, massive multi-input multi-output (MIMO) in which a large number of antennas are utilized in base station (BS) is a promising solution. However, due to a large number of antennas and limited coherence time of mmWave mobile channel, acquisition of a precise channel state information (CSI) requires a large channel estimation overhead, especially for frequency division duplex (FDD) systems. In addition, due to limited saturation level of mmWave power amplifiers, a flexible pilot length adaptation is required for mmWave communication systems. Likewise, because of a large number of BS antennas, it is difficult to feed back all CSI with high accuracy in FDD massive MIMO systems. There exists a trade-off between feedback overhead and the accuracy of recovered CSI. To resolve these issues, in this paper, we propose a deep learning-based joint optimization of closed-loop FDD massive MIMO systems. Unlike previous deep learning-based approach in which only beamforming (BF) from observation of CSI is composed with neural network, we formulate the entire process of generating BF matrix as a functional optimization problem. We compose a deep learning-based FDD massive MIMO system where the functional blocks including pilot length adaptation, CSI compression, and BF are replaced with neural networks. The neural networks are connected and trained as a single network toward a direction which maximizes network utility. During the training process, each functional block learns its best strategy to maximizes network utility. Through simulation, we confirm that each network learned strategies to maximize network utility by itself.
Stronger latitudinal phylogenetic patterns in woody angiosperm assemblages with higher dispersal abilities in China

The equator‐to‐poles decline in the number of species, namely the latitudinal diversity gradient (LDG), is the most conspicuous pattern in biology, yet the underlying mechanisms of this pattern remain controversial. Species dispersal could have strong effects on large‐scale species distributions but has rarely been considered in understanding the LDG. Here we sought to examine how dispersal ability may influence the latitudinal phylogenetic patterns of woody angiosperm assemblages.
Analisis Pentingnya Online Customer Review Dalam Mempengaruhi Keputusan Pembelian Produk Gadget

Research aim: This study aims to determine the role of online customer reviews in purchase decisions for gadget products on the Shopee marketplace. Design/Methode/Approach: This research used quantitative associative methods and online questionnaires were used to collect research data. Research Finding: The regression analysis using SPSS showed a significant influence between online customer reviews and respondent’s gadget purchase decisions on the Shopee marketplace. Theoretical contribution/Originality: Respondents are more likely react positively to information that is considered trustworthy and honest. Practitioner/Policy implication: This finding is important for sellers and Shopee to improve online customer reviews' quality in increasing gadget product purchases. Research limitation: Due to the utilization of a convenience sampling method and a limited number of participants, the findings from this study cannot be applied to the entire population.
Tumor necrosis alpha (tnf-α) levels in the human gingival sulcus: rates and factors affecting its levels in healthy subjects

Background and objective: ​​ Gingival crevicular fluid (GCF) provides an exceptional window for investigation of the periodontal condition in which levels of inflammatory mediators, which, as a consequence of the increased local destruction of connective tissue structural elements, are ideal markers of disease activity can be appreciated in the GCF. This study aimed to investigate the levels of tumor necrosis factor-alpha (TNF-α) in the human gingival sulcus of healthy subjects and the influence of host factors such as age, sex, and tooth type used on pro-inflammatory biomarkers. Methods: Eighty-seven patients, 54 (62.1%) female and 33 (37.9%) males (aged 12–34 years; mean 19.58±4.4 years), participated in this study. Each subject underwent a session on professional oral hygiene and received oral hygiene instructions. Gingival crevicular fluid (GCF) sampling was conducted (baseline). GCF was collected from the central incisor, the lateral incisor, the Canine, the First premolar and the Second premolar in this study. The concentration of the pro-inflammatory cytokine (TNF-α) present in the GCF was evaluated by Enzyme-Linked Immunosorbent Assay (ELISA), following manufacturers' recommendations. Differences in mean TNF-α concentrations (pg/ml) of the teeth selected for sample collection for each individual with variables that included age, sex, and tooth type for GCF samples, were determined. Results: In total, the mean ± SD of central incisor TNF-α was 31.88 ± 4.99 pg/ml, and ranged from 20.22 to 40.47 pg/ml; the variance in all individual values ​​was significantly distributed on the normal curve with t-test of 59 and p < 0.001. For males the TNF-α concentration (mean ± SD) of central incisor was 39.25 ± 7.26 pg/ml Vs. 40.98 ± 9.24 pg/ml for females. For the lateral incisor, Canine, First premolar and Second premolar: total, males and females; the mean ± SD of TNF-α level were roughly similar to that of the central incisor. A lower level of TNF-α was in <16 years (37.54 ± 9.5 pg/ml). These findings differ from those of the 16-25 years age group and 26-34 age group in which a significantly higher value was recorded (p=0.035). Conclusion: This study provides the upper limit of normal values ​​for TNF-α levels for people aged 12-34 years in the GCF. These upper limits of normal values ​​will guide dentists in Yemen when considering the diagnosis of periodontal disease, as well as its role during orthodontic tooth movement as they play an important role in the activities of Osteocytes, and will provide useful baseline data for future studies of interventions against periodontal disease; and the movement of teeth by orthodontic appliances, in Yemen. Also, this data can also be applied to neighboring Yemeni cities and neighboring countries.
Taylor-Couette flow above seamounts

A classical Taylor-Couette flow is generated in a homogeneous fluid between two coaxial cylinders rotating with a different angular velocities. The loss of the stability by a Taylor-Couette flow leads to bifurcation and hence to Taylor vortices generation. Consider a seamount in a homogeneous ocean on f-plane in the view of two coaxial cylinder standing one on another when a lower cylinder has a larger diameter. Taylor-Couette flow is formed in a circular area above a ledge as it follows from the topographic eddies theory. Distinguishing feature from the classical case is the additional rotation with Earth. In this paper the generalization of Yudovich theory is made in situation of ocean above seamounts. It was shown that for real ocean the bifurcation of a current in a circular area above a ledge of seamount is possible. Key-words : Taylor-Couette flow; seamounts
A-GSTCN: An Augmented Graph Structural–Temporal Convolution Network for Medication Recommendation Based on Electronic Health Records

Medication recommendation based on electronic health records (EHRs) is a significant research direction in the biomedical field, which aims to provide a reasonable prescription for patients according to their historical and current health conditions. However, the existing recommended methods have many limitations in dealing with the structural and temporal characteristics of EHRs. These methods either only consider the current state while ignoring the historical situation, or fail to adequately assess the structural correlations among various medical events. These factors result in poor recommendation quality. To solve this problem, we propose an augmented graph structural–temporal convolutional network (A-GSTCN). Firstly, an augmented graph attention network is used to model the structural features among medical events of patients’ EHRs. Next, the dilated convolution combined with residual connection is applied in the proposed model, which can improve the temporal prediction capability and further reduce the complexity. Moreover, the cache memory module further enhances the model’s learning of the history of EHRs. Finally, the A-GSTCN model is compared with the baselines through experiments, and the efficiency of the A-GSTCN model is verified by Jaccard, F1 and PRAUC. Not only that, the proposed model also reduces the training parameters by an order of magnitude.
Repeatable Condition-Invariant Visual Odometry for Sequence-Based Place Recognition

This paper describes a vision-only system for place recognition in environments that are tra- versed at different times of day, when chang- ing conditions drastically affect visual appear- ance, and at different speeds, where places aren’t visited at a consistent linear rate. The ma- jor contribution is the removal of wheel-based odometry from the previously presented algo- rithm (SMART), allowing the technique to op- erate on any camera-based device; in our case a mobile phone. While we show that the di- rect application of visual odometry to our night- time datasets does not achieve a level of perfor- mance typically needed, the VO requirements of SMART are orthogonal to typical usage: firstly only the magnitude of the velocity is required, and secondly the calculated velocity signal only needs to be repeatable in any one part of the environment over day and night cycles, but not necessarily globally consistent. Our results show that the smoothing effect of motion constraints is highly beneficial for achieving a locally consis- tent, lighting-independent velocity estimate. We also show that the advantage of our patch-based technique used previously for frame recogni- tion, surprisingly, does not transfer to VO, where SIFT demonstrates equally good performance. Nevertheless, we present the SMART system us- ing only vision, which performs sequence-base place recognition in extreme low-light condi- tions where standard 6-DOF VO fails and that improves place recognition performance over odometry-less benchmarks, approaching that of wheel odometry.
Impact of a Starch Hydrolysate on the Production of Exopolysaccharides in a Fermented Plant-Based Dessert Formulation

Plant-based desserts are becoming increasingly popular with and appreciated by consumers. However, they are limited by the choice of ingredients, which are often expensive and unstable with a random texture. Therefore, the aim of the research is to propose a new product that offers an advantageous texture and flavour in a fermented dessert based on a flour mix supplemented with an enzymatic hydrolysate. This study involved the development of two processes: (i) an enzymatic hydrolysis of oat flour and (ii) a fermentation of a flour mixture (oat, chickpea, and coconut) by lactic acid bacteria (Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus). The result of the oat flour hydrolysate shows a significant decrease in starch after 60 min of reaction, followed by an increase in sugar content. During 23 days of storage at 4 °C, the formulations used showed post-acidification, water retention capacity decrease, and hardness increase related to the hydrolysate rate (p < 0.05). All formulations allowed the viability of lactic bacteria (over 5 log10 CFU/mL) and verified their ability to produce exopolysaccharides (0.23–0.73 g/100 g). The prototyping of such a product represents a key step in meeting the growing demand for plant-based alternatives, with qualitative sensory characteristics without additives.
Combined Haploidentical Hematopoetic Stem Cell Transplantation and Liver Transplantation in a Pediatric Patient

Solid organ transplantation from the same donor is an established procedure for end-stage organ failure that developed after a previous hematopoietic stem cell transplantation (HSCT); however, it is rarely done in patients transplanted with unmanipulated haplo-HSCT. There are no pediatric reports regarding the long-term performance of organ transplantation after haplo-HSCT with post-transplant cyclophosphamide (PTCY). A juvenile myelomonocytic leukemia patient, who underwent unmanipulated haplo-HSCT with PTCY from her mother at the age of 3 years, developed chronic liver graft versus host disease (GvHD) which was refractory to specific GvHD treatment. Liver transplantation (LT) from her mother (the donor of her haplo-HSCT) was decided as the next line of treatment. LT was performed on day 540 post-HSCT, and the donor's left lateral segment was appropriately removed and attached to the recipient. The symptoms of GvHD completely regressed in a month. The patient died on day 121 after LT, because of a possible hepato-pulmonary syndrome. Organ failure can develop after allo-HSCT secondary to GvHD and therefore performing HSCT from a haplo-donor may be superior to a matched unrelated donor in terms of subsequent organ transplantation for organ failure.