Miracle-dz/UniFAR-FTUs huggingface dataset:
Simple net: Convolutional neural network to perform differential diagnosis of ampullary tumors

Diagnosing different stages of cancer has only been performed by doctors due to the complexity of the task. However recent advancements made in the field of deep learning has pushed the capabilities of what an algorithm can achieve. In this study, we have trained a convolutional neural network to perform differential diagnosis of Ampullary tumors. Our proposed network is only made out of seven layers. However, when compared with other state of the art classification networks such as VGG 16, VGG 19, Res Net, and Dense Net our model not only had the best performance but also shortest training time. All of the networks were trained for 150 epochs with step wise learning rate with Adam optimizer to converge as quick as possible. Our model was able to reach average of 78.14 percent accuracy with average training time of 50.60 seconds on Asus Zephyrus, with Nvidia 1080 GPU and Max Q technology.
The Effect of Cognitive-Behavioral Consultation on Sexual Function among Women: a Randomized Clinical Trial

Introduction: Sexual dysfunction is one of the most common causes of family breakdowns. In recent years, various approaches have been proposed to resolve this issue. The present study was carried out in order to examine the effect of cognitive-behavioral consultation on sexual function among women who had referred to health centers in Hamadan. Method: A randomized clinical trial was conducted in two groups. It focused on 198 qualified women who had referred to selected health centers of Hamadan in 2016. The participants were selected by simple random sampling (99 people in each group). The intervention group received four 2-hour sessions of cognitive-behavioral group consultation. The required data were collected using a questionnaire of demographic characteristics and Female Sexual Function Index (FSFI). For ethical considerations, by the end of the study, sexual counseling for the control group was provided. To analyze the collected data, SPSS 13 was employed; t-test was used for independent samples. ANCOVA was also utilized. The significance level was set at 0.05. Results: The results showed that the two groups were not significantly different in terms of mean pretest scores in all domains, except for sexual satisfaction and total sexual function. However, after cognitive-behavioral consultation sessions, the intervention group experienced a significant increase in all behavioral domains and total sexual function as compared to the control group. Conclusion: Cognitive-behavioral consultation among women can play a positive and effective role in improving sexual relationships. Therefore, the effectiveness of this type of consultation can be confirmed with more certainty.
An Integrated Localization-Navigation Scheme for Distance-Based Docking of UAVs

In this paper we study the distance-based docking problem of unmanned aerial vehicles (UAVs) by using a single landmark placed at an arbitrarily unknown position. To solve the problem, we propose an integrated estimation-control scheme to simultaneously achieve the relative localization and navigation tasks for discrete-time integrators under bounded velocity: a nonlinear adaptive estimation scheme to estimate the relative position to the landmark, and a delicate control scheme to ensure both the convergence of the estimation and the asymptotic docking at the given landmark. A rigorous proof of convergence is provided by invoking the discrete-time LaSalle's invariance principle, and we also validate our theoretical findings on quadcopters equipped with ultra-wideband ranging sensors and optical flow sensors in a GPS-less environment.
University Relationship Management

In recent decades, to gain a competitive advantage, firms have improved their relationships with universities as the main generators of science and technology in modern societies. There are various goals and drivers that inspire firms to engage in such relationships. These goals and drivers, along with several facilitators, in turn indicate the existence of different types of relationships between firms and universities, which are characterized by different elements, like trust, commitment, and communication. It is very important for firms to manage the level of different elements in these relationships for different types of interactions, in what we call university relationship management (URM). The main purpose of this paper is to propose a generic framework for URM, to discuss the most important antecedents and consequences of URM, and to provide conclusions and avenues for future research.
Application of Microsystems Technology in the Fabrication of Thermoelectric Micro-Converters

The use of thin-film deposition techniques with microsystems technologies renewed the interest in the thermoelectricity in the last years. Integration of efficient solid-state thermoelectric (TE) microdevices with microelectronics is desirable for local cooling and, since they can be used to stabilise the temperature of devices, decrease noise levels and increase operation speed. Their use in thermoelectric microgeneration (energy harvesting) can also supply energy to low power consumption electronic devices. In this chapter, the fabrication of thermoelectric microconverters is compared, both on materials from thin-film composites to supperlattice structures, and on its fabrication techniques. Various materials can be used for this type of converters. However, for room temperature application, Bi/Sb/Te compounds are still the most efficient thermoelectric materials. Recently, efforts were made to apply quantum confinement to thermoelectric materials, and the results are thin-film superlattice structures and nanowires and even more recently, bulk nanocomposites. Some of these materials proved the ability to double efficiency of current thermoelectric devices. Several deposition techniques can be used for the fabrication of Bi/Sb/Te thin-films: co-sputtering, electrochemical deposition, metal-organic chemical vapor deposition or flash evaporation are some examples compared here. The patterning process must use photolithography techniques to create the small dimensions of these devices. Despite these techniques are commonly used in microelectronic devices, mainly with silicon based substrates, its application in other thermoelectric alloys is still under development. The patterning of thermoelectric structures for the fabrication of thermoelectric microconverters can be done using common microsystems technologies. Techniques used in MEMS fabrication, namely wet-etching, lift-off (with SU-8 photoresist), Reactive Ion Etching (RIE) and Lithography-Electroplating-Molding (LIGA) are here compared for the fabrication of thermoelectric microsystems.
Psycho-emotional Factors and Their Role in Craniomandibular Disorders

Introduction: The present study emphasizes the importance of psycho-emotional factors as predisposing factors in craniomandibular disorders. The actual etiology of craniomandibular disorders remains relatively obscure, factors that contribute to the development of dysfunction in its various stages are not well-defined. Their systematization into predisposing etiological factors, initiators and perpetuates actually supports the pluricausal and often idiopathic character of this condition. Material and method: The study included an experimental group of 30 subjects diagnosed with major depressive episode, women aged 41 to 71 and 30 subjects, women of the same age range who did not qualify for this diagnosis, based on DSM V criteria and the results obtained in the BDI-2 questionnaire (Beck Depression Inventory - 2). The two groups were given the Craniomandibular Dysfunction Screening Questionnaire. Results: Between the two lots there is a statistically significant difference in the over all score of the scale, which determines the tendency or predisposition for the development of the craniomandibular dysfunction. To analyze the relationship between the presence of a psychiatric diagnosis and the level of somatic pain experienced, we used the calculation of the Pearson correlation coefficient between the values obtained by subjects at BDI-II and the Somatic Pain Scale. The obtained results indicated the existence of a statistically significant positive correlation. The calculation of the Pearson correlation coefficient between the values obtained by subjects at BDI-II and the Psychoemotional Suffering Scale indicates the existence of a statistically significant positive correlation. Conclusion: By analyzing comparatively two batches (one clinical and one nonclinical) in terms of risk of this disorder, the results indicated that a psychiatric diagnosis - in this case the major depressive episode may be a predisposing factor for this disorder. This risk did not occur in the nonclinical group.
A comprehensive review on beneficial dietary phytochemicals in common traditional Southern African leafy vegetables

Abstract Regular intake of sufficient amounts of certain dietary phytochemicals was proven to reduce the incidence of noncommunicable chronic diseases and certain infectious diseases. In addition, dietary phytochemicals were also reported to reduce the incidence of metabolic disorders such as obesity in children and adults. However, limited information is available, especially on dietary phytochemicals in the commonly available traditional leafy vegetables. Primarily, the review summarizes information on the major phytochemicals and the impact of geographical location, genotype, agronomy practices, postharvest storage, and processing of common traditional leafy vegetables. The review also briefly discusses the bioavailability and accessibility of major phytochemicals, common antinutritive compounds of the selected vegetables, and recently developed traditional leafy vegetable‐based food products for dietary diversification to improve the balanced diet for the consumers. The potential exists for better use of traditional leafy vegetables to sustain food security and to improve the health and well‐being of humans.
Guided bone regeneration using K-incision technique

Purpose The present study describes 3 patients with chronic periodontitis and consequent vertical resorption of the alveolar ridge who were treated using implant-based restoration with guided bone regeneration (GBR). Methods After extraction of a periodontally compromised tooth, vertical bone augmentation using a K-incision was performed at the healed, low-level alveolar ridge. Results The partial-split K-incision enabled soft tissue elongation without any change in buccal vestibular depth, and provided sufficient keratinized gingival tissue during GBR. Conclusions Within the limits of this study, the present case series demonstrated that the novel K-incision technique was effective for GBR and allowed normal implant-based restoration and maintenance of a healthy periodontal condition. However, further long-term follow-up and a large-scale randomized clinical investigation should be performed to evaluate the feasibility of this technique.
A simple approach to the supernova progenitor–explosion connection

We present a new approach to understand the landscape of supernova explosion energies, ejected nickel masses, and neutron star birth masses. In contrast to other recent parametric approaches, our model predicts the properties of neutrino-driven explosions based on the pre-collapse stellar structure without the need for hydrodynamic simulations. The model is based on physically motivated scaling laws and simple differential equations describing the shock propagation, the contraction of the neutron star, the neutrino emission, the heating conditions, and the explosion energetics. Using model parameters compatible with multi-D simulations and a fine grid of thousands of supernova progenitors, we obtain a variegated landscape of neutron star and black hole formation similar to other parameterised approaches and find good agreement with semi-empirical measures for the "explodability" of massive stars. Our predicted explosion properties largely conform to observed correlations between the nickel mass and explosion energy. Accounting for the coexistence of outflows and downflows during the explosion phase, we naturally obtain a positive correlation between explosion energy and ejecta mass. These correlations are relatively robust against parameter variations, but our results suggest that there is considerable leeway in parametric models to widen or narrow the mass ranges for black hole and neutron star formation and to scale explosion energies up or down. Our model is currently limited to an all-or-nothing treatment of fallback and there remain some minor discrepancies between model predictions and observational constraints.
Dual Effect of Hepatic Macrophages on Liver Ischemia and Reperfusion Injury during Liver Transplantation

Ischemia-reperfusion injury (IRI) is a major complication in liver transplantation (LT) and it is closely related to the recovery of grafts' function. Researches has verified that both innate and adaptive immune system are involved in the development of IRI and Kupffer cell (KC), the resident macrophages in the liver, play a pivotal role both in triggering and sustaining the sterile inflammation. Damage-associated molecular patterns (DAMPs), released by the initial dead cell because of the ischemia insult, firstly activate the KC through pattern recognition receptors (PRRs) such as toll-like receptors. Activated KCs is the dominant players in the IRI as it can secret various pro-inflammatory cytokines to exacerbate the injury and recruit other types of immune cells from the circulation. On the other hand, KCs can also serve in a contrary way to ameliorate IRI by upregulating the anti-inflammatory factors. Moreover, new standpoint has been put forward that KCs and macrophages from the circulation may function in different way to influence the inflammation. Managements towards KCs are expected to be the effective way to improve the IRI.
Gender-related Difference in Clinical Outcome of the Patient with Atrial Fibrillation after Radiofrequency Catheter Ablation

Background and Objectives Previous studies provided controversial result about gender differences in the clinical outcome after radiofrequency catheter ablation (RFCA) for atrial fibrillation (AF). We assessed pure difference after adjustment of referral bias. Methods The clinical outcomes including freedom from AF/atrial tachycardia (AT) recurrence after RFCA were compared between women and men in 1:1 confounding factor matching with age, AF type, periods since diagnosis (±12 months), and procedure era (±12 months). Subgroup analysis was performed in categories defined by AF type and age of 55 (mean menopausal age of Asian women). Results Total 1,875 patients with AF underwent 2,307 RFCA between January 1998 and May 2014 in a single center. Total 367 women (19.6%, 59±10 years) who had undergone first ablation were included. Women had larger left atrial diameter index (26±4 vs. 23±4 mm/m2; p<0.001) and higher peri-procedural complications (9.2% vs. 4.9%; p=0.030) compared to men. The freedom from AF/AT recurrence after RFCA was not different between both groups (71% vs. 76%; log-rank p=0.131, mean follow-up of 55 months). Women with non-paroxysmal AF (PAF) had significantly worse outcome (54% vs. 69%; p=0.014), especially in subgroup with age ≤55 (48% vs. 71%; p=0.010). In multivariate analysis, female gender was an independent predictor of recurrence in subgroup with non-PAF and age ≤55 (hazard ratio [HR], 2.539; 95% confidence interval [CI], 1.112–5.801; p=0.027). Conclusions The clinical outcome after RFCA was not different between both genders regardless of referral bias. However, the gender difference became evident in patients under 55 years with non-PAF.
Empowering Sketches with Machine Learning for Network Measurements

Network monitoring and management require accurate statistics of a variety of flow-level metrics, such as flow sizes, top-k flows, and number of flows. Arguably, the most commonly used data structure to record and measure these metrics is the sketch. While a significant amount of work has already been done on sketching techniques, there is still a lot of room for improvement because the accuracy of existing sketches depends a lot on the nature of network traffic and varies significantly as the network traffic characteristics change. In this paper, we propose the idea of employing machine learning to reduce this dependence of the accuracy of sketches on network traffic characteristics and present a generalized machine learning framework that increases the accuracy of sketches significantly. We further present three case studies, where we applied our framework on sketches for measuring three well-known flow-level network metrics. Experimental results show that machine learning helps decrease the error rates of existing sketches by up to 202 times.
Learning Systems for Electric Consumption of Buildings

Individual appliances’ electricity consumption is automatically disaggregated from a single custom metering system on the main feed to an occupied residential building. A data acquisition system samples voltage and current at 100 kHz, then calculates real and reactive power, harmonics, and other features at 20Hz. A probabilistic eventdetector using the generalized likelihood ratio (GLR) matches human-labeled events to the time-series of features. Machine-learning classification was most successful with the 1-nearest-neighbor algorithm, correctly identifying 90% of the laboratorygenerated training events and 79% of validation examples. The challenge of obtaining adequate training data for the real-world home leads to the development of the Wire Spy, a wirelessly-networked event detector with an inductive sensor which clamps to the cable of an appliance.
Response of phytoplankton communities to increased anthropogenic influences (southwestern lagoon, New Caledonia)

We investigated the effects of changes in nutrient concentrations on phytoplankton bio- mass and community composition during 8 field trips performed during different seasons in the southwestern coral lagoon of New Caledonia. The lagoon is characterized by spatial variation in macronutrient concentrations, with locally elevated values in the bays bordering the city of Noumea. Low DIN:DIP (dissolved inorganic nitrogen:dissolved inorganic phosphorus) and elevated Si:DIN ratios suggest that nitrogen is the macronutrient that likely drives phytoplankton community com- position. Most of the microphytoplankton groups discriminated by inverted microscopy and the picoplankton groups distinguished by flow cytometry present significant and distinct relationships with inorganic nitrogen concentrations. Picophytoplankton-dominated assemblages are replaced by microphytoplankton-dominated assemblages with increasing DIN concentrations. Within the pico- phytoplankton, Prochlorococcus abundance dominates in the adjacent oceanic and southern lagoon shelf sites, and assemblages shift to Synechococcus-dominated populations in the bays, with an increasing proportion of picoeukaryotic phytoplankton. Within the microplankton, 142 species of microphytoplankton were identified, mainly represented by diatoms, dinoflagellates, and cocco- lithophorids. Nutrient enrichment in the bays favors large diatoms at the expense of cocco- lithophorids and dinoflagellates, which dominate in adjacent oceanic and southern shelf waters. Therefore, although moderate, the elevated nitrogen concentrations in the bays result in increased phytoplankton biomass, accompanied by important shifts in the phytoplankton community structure.
Chemical investigation of polar extracts from Ruta chalpensis L. growing in Tunisia: correlation with their antioxidant activities.

Ruta chalpensis has been used as a spice and as natural additive for more than 1000 years. Ruta is a genus of Rutaceae family and features primarily shrubby plants that are native to the Mediterranean region. The aim of this study was to investigate the antioxidant activities of extracts obtained from aerial part of Ruta chalepensis using the non-enzymatic DPPH and ABTS assays systems. Methanol and aqueous extracts exhibited high antioxidant with IC50 values 54.1±1.5 and 73.6±2.6 μg/ml respectively for DPPH assay. Moreover, the results revealed that methanol and aqueous extracts present antioxidant efficiency against the ABTS radical with respectively 92.4 % and 87.5% at the highest concentration of 3 mg/mL. The present study has demonstrated that Ruta chalepensis extract possess potent antioxidant activities which could be derived from compounds such as flavonoids and polyphenols.
Acute Shortage of Nursing Professional in Pakistan

Human resources for health are known as one of the core building blocks for health care system. The health care system is facing a serious challenge of the lack of human resources. It is very difficult to put the model of qualified and right people in the right place in Pakistan because of rapid growing of population. The existing health institutions, facilities and services are not sufficient to cope with the health care provision to all people in Pakistan. Retention of nurses in health care system is a main concern to nursing communities throughout the world. Pakistan has made a big step in getting better access to health services since its independence and development of public health in the country at partition era in 1947. Although Pakistan is in the list of developing countries where the health care system is still on life support in which nurses have significant role in Human Resource for Health (HRH). Advanced Nursing Services in Pakistan needs to meet the health requirements of community and to face future challenges in health care setting. But shortage of nurses has been a constant challenge for nursing profession in many countries including Pakistan. Although nursing is a noble profession, but our gender prejudices, negligence and illtreatment has caused enormous damage to it. A big cause of migration of nurses from Pakistan to gulfcountries is due to the reason that nursing has bright future in such places and is given its due respect. It is important to give the identification, value and required facilities to this profession as it will benefit the society at vast level.
INFERENCE IN NONPARAMETRIC SERIES ESTIMATION WITH SPECIFICATION SEARCHES FOR THE NUMBER OF SERIES TERMS

Nonparametric series regression often involves specification search over the tuning parameter, that is, evaluating estimates and confidence intervals with a different number of series terms. This paper develops pointwise and uniform inferences for conditional mean functions in nonparametric series estimations that are uniform in the number of series terms. As a result, this paper constructs confidence intervals and confidence bands with possibly data-dependent series terms that have valid asymptotic coverage probabilities. This paper also considers a partially linear model setup and develops inference methods for the parametric part uniform in the number of series terms. The finite sample performance of the proposed methods is investigated in various simulation setups as well as in an illustrative example, that is, the nonparametric estimation of the wage elasticity of the expected labor supply from Blomquist and Newey (2002, Econometrica 70, 2455–2480).