Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Senescence on Reproduction and Behavior in Bottlenose Dolphins

Senescence is the degenerative change in function of all organ systems with age and is accompanied by precipitous declines in survival and fertility. In a few species, reproductive senescence culminates in menopause, the complete cessation of reproduction and a significant post-reproductive lifespan. Adaptive hypotheses for the evolution of menopause have gained recent attention. Investigating whether pathways essential to these hypotheses are also found in non-menopausal species will reveal whether these processes exclusively drive the evolution of menopause. Using a 35-year study of the bottlenose dolphins of Shark Bay, Australia, I investigate how aging affects reproduction and behavior in the context of these evolutionary hypotheses. In Chapter 1, I examine two components of reproductive senescence: fertility and maternal-effect senescence. With increasing maternal age, calf survival decreased, while lactation period increased. Interbirth intervals increased regardless of calf mortality, indicating interactions between fertility and maternal-effect senescence. Of calves that survived to weaning, last-born calves weaned latest, evidence of terminal investment. In Chapter 2, I investigate whether senescence impacts behavior in late adulthood. While time spent cycling increases in late adulthood, time spent with adult males does not change, nor do activity budgets, time spent alone, or average group sizes. Time spent
Nash Bargaining Method of Microgrid Clusters Considering Uncertainties

With a large number of distributed renewable energy connected to the distribution network through micro grid group, it is of great significance to study the transaction optimization of multi stakeholders in the distribution network. Aiming at the transaction problem in the distribution side power market, this paper proposes a Nash bargaining method between micro grid group and distribution network considering the intermittence of new energy generation and load uncertainty. Firstly, the stochastic optimization model of microgrid considering the source load uncertainty is constructed, and the chance constrained programming in the model is transformed by the deterministic transformation method based on sampling; Secondly, the transaction optimization problem of micro grid group and distribution network system is constructed as a Nash bargaining model, which is transformed into two sub problems: payment maximization and alliance benefit maximization. In order to protect the privacy of all parties to the transaction, the alternating direction multiplier method is used to solve the problem. Finally, an example is given to verify the effectiveness of the proposed method in improving the benefits of all bargaining subjects.
Design Of Server Performance Monitoring Application Integrated Administration Service System In Electronic Engineering Department

The objective of this study is to make an application design to monitor server performance that can be used to monitor and inform server performance to administrators. The implementation of this server performance monitoring application is carried out on the Integrated Administrative Service System server of the Electronics Engineering Department, Faculty of Engineering, Padang State University. Server performance monitoring application built using the waterfall method. Making the application is also supported by the Script Shell programming language in retrieving information from the server, server information generated by the SNMP and SNORT applications and then reported to the administrator by the Sendemail and Gammu applications. The server performance monitoring application website is built using the Laravel framework, the LTE Admin template and the Canvas JS chart. This server performance monitoring application is able to monitor, recap and report server performance. Application reporting is done using e-mail and sms media, if a problem occurs on the server. So that the application of server performance monitoring applications on the server will be able to help the work of administrators to maintain the availability of a reliable Integrated Administrative Service System in the Electronics Engineering Department.
Capacitor Voltage Fluctuation Minimization for Four-Level Hybrid Clamped Converter Using Improved Common-Mode Voltage Injection

When a four-level hybrid clamped converter (4L-HCC) operates at low frequencies, the high load current causes significant voltage fluctuations among the capacitors in the dc link. A mathematical model is developed to clarify the mechanism of excessive capacitor voltage fluctuations. An improved common-mode voltage injection algorithm is proposed and integrated to the overall control method. With the applied algorithm, the voltage fluctuation minimization of the dc-link capacitors and the dynamic voltage balancing capability are investigated. Both simulation and experimental results validate the effectiveness of the proposed algorithm, with a voltage fluctuation reduction over 50%. The 4L-HCC with the proposed algorithm achieves much faster dynamic response to converge the unbalanced capacitor voltages and the reduced output current harmonics compared with the conventional common-mode voltage injection algorithm.
Management of Suture Penetration in Combined Vitrectomy and Scleral Buckle Surgery

Purpose: To evaluate the surgical outcome of deep or full-thickness suture penetration during combined pars plana vitrectomy and scleral buckle (PPV/SB) surgery. Methods: Clinical data of patients who underwent PPV/SB for retinal detachment in our practice between June 2017 and April 2019 were reviewed. Cases with full-thickness scleral penetration were identified. Data including initial presentation, intraoperative complications, and management were collected. Long-term surgical outcome, complications, and recurrent detachment were determined. Results: Twenty-three cases with evidence of suture penetration were identified. In none of the cases the penetrated suture was visible in the subretinal space. The suture was replaced in cases with persistent leakage through the penetration site or when the surgical plan involved silicone oil insertion. Subretinal hemorrhage was noted during vitrectomy in 7 (30%) patients. The subretinal hemorrhage migrated to the macula in 2 (9%) cases and was drained through a posterior retinotomy. Retinal incarceration was noted in 4 (17%) cases and was released using a focal retinotomy in 2 (9%)cases to reattach the retina. Late complications included epiretinal membrane in 6 (26%) and recurrent detachment occurred in 2 (9%) patients. Final anatomical success was achieved in all patients. Conclusions: We propose new principles in the management of suture penetration during combined PPV/SB surgery. In the absence of a visible penetrated suture, suture replacement is required when there is profuse leakage through the penetration site or if silicone oil is used as tamponade. We recommend removal of submacular hemorrhage through a posterior retinotomy. The incarcerated retina can be flattened using release retinotomies.
Nitrates for the Management of Acute Heart Failure Syndromes

Intravenous nitrates are widely used in the management of acute heart failure syndrome (AHFS), yet with lack of robust evidence to support their use. We therefore sought to analyse all randomised studies that evaluated the effects of nitrates on clinical outcomes in patients with AHFS. In total, fifteen relevant trials comparing nitrates and alternative interventions in 1824 patients were identified. All but three were conducted before 1998. No trials demonstrated a beneficial effect on mortality, apart from one trial reporting a reduction in mortality, which was related to the time of treatment. Retrospective review suggests that there is a lack of data to draw any firm conclusions concerning the use of nitrates in patients with AHFS, which is surprising given the widespread use of nitrates. More studies are needed to evaluate the safety and efficacy of these agents in the modern era of guideline-directed use of heart failure therapy.
Sum Rate Analysis and Power Allocation in Massive MIMO Communications with Aerial and Terrestrial Users

Massive multiple-input multiple-output (Massive MIMO) technique provides the ability to communicate with numerous users by spatial multiplexing. With wide applications of unmanned aerial vehicles (UAV), there are terrestrial users coexisting with aerial users in a cell. The channels between ground base station and aerial users include a lot of Line-of-sight (LoS) paths, which is different with rich scattering channels of ground users. In this article, the time division duplex (TDD) Massive MIMO with uplink channel estimation and downlink transmission is investigated under the frame of Orthogonal Frequency Division Multiplexing (OFDM). The system sum rate is analyzed with consideration of channel estimation errors. A power allocation scheme which utilizes the different channel delay spread of aerial and terrestrial users is proposed to maximize the sum capacity.
PREVENTION OF PSYCHOSOCIAL RISKS AT WORK IN HEALTH PROFESSIONALS IN BRAZIL AND PERU: ADHESION FOR TRAINING

Objective: Evaluate and compare the evidence of preventive intervention (PI)for psychosocial risks at work(PRW)in health professionals in Brazil and Peru. Method: A systematic review wasdevelopedbased on scoping study, in databases: PubMed, EBSCO-Host, BioMed Central, Embase, CINAHL, Lilacs, Cochrane Register of Trials y Web of Science; additionally in IBICT (Brasil) and CONCYTEC (Peru). Results: Of 2.461 identified studies they were analyzed to sixteen.Compared IPs are focused on mixed protocols (didactic, interactive) or workshops:a) ascribed to promote changes in complex behaviors and health prevention in hospital environment, with minimum duration of three weeks, b) circumscribed to improve the professional practice in health, and develop leadership in management and teamwork (duration about six months), always premunted for the follow-up and participation of health officials and workers. Conclusion: The most useful PI for PRW in both countries was training aimed essentially at communication team development, both in conflict management and in professional interaction.
Not Establishing the Cross-Cultural Validity of Measures of Key Constructs in a High-Stakes Field Experiment

One of the most important tasks in conducting psychological research is to establish that the measures one uses in research reliably and validly index the constructs one intends to measure. Examples of constructs and measures in my subfield of developmental psychology abound. For example, the security of young children’s attachment to their primary caregivers (the construct) is best measured by the pattern of young children’s behaviors before, during, and after a brief separation from their parents in the “strange situation” paradigm (the measure; Ainsworth, 1970). Similarly, preschool children’s ability to delay gratification (the construct) is measured by minutes of time they wait for a preferred reward in the “Marshmallow Test” (the measure) (Mischel, Shoda, & Rodriquez, 1988). But how do we know if measures truly index the constructs we wish to investigate? The two key ways are by establishing the measures’ reliability and validity. The reliability of a measure is an index of the consistency of responses to the measure. The validity of a measure is an index of the extent to which it is measuring what it is supposed to measure. The biggest research mistake I’ve made recently was to rely on evidence demonstrating the reliability of several measures of school-aged children’s “self-regulation” as adequate to support the validity of the measures. I made this mistake by using the measures in the new cultures of Lebanon and Niger where the measures have never been used before. Let me explain the research context, the mistake, and its scientific and real-world implications. For the last several decades, I have been conducting field experiments of schoolbased interventions to improve both the social-emotional development and academic learning of children. I began this work with studies in low-income and/or conflictaffected communities in the United States (Aber, Brown, Jones, & Roderick, 2010; Aber, Brown, Jones, Berg, & Torrente, 2011; Jones, Brown, & Aber, 2011), but starting in 2010, I began similar work in low-income and/or conflict-affected countries New York University
Efficient Approach for Travel Package Recommendation System

: Recent modern era where people are more interested in travelling and roaming the world and want to experience new things. So there can be many ways that people full fill their travelling wishes, and get what they wanted. In the late years if, people want to travel they used to decide a place and time according to their daily schedule, and they used to decide a place where they wanted to go. But in today’s world no one has time even to plan their holiday or a free time for themselves. This paper helps you deal with the efficient approach for your travel where all you need is a free time and money to afford the travel. [9]Efficient Approach for Travel Package Recommendation System deals with your travel interests and your financial propose regarding the travel and helps you get your ideal and unique travel experience far so. The main intension is all about your travel and your allowances that provide by the system. We will help you find your ideal travel package and let you also know about the things that are further more easy to approach for you and helps you get the free spirited experience of the travelled places so far. This paper will also explains the things like and about, if the customer or the traveller is confused about where to go and what to see in his travel then the system recommends the places to the customer of his interests and will also manages the ideal travel deal.
Hybrid wideband dual‐cylindrical circularly polarized dielectric resonator antennas excited with S‐shaped microstrip feed for sub‐6 GHz frequency range

In this article, a hybrid microstrip fed dual‐cylindrical dielectric resonator antenna (dual‐CDRA) has been proposed for the sub‐6 GHz band application with a wide circular polarization band. The proposed hybrid microstrip feed cylindrical dielectric resonator antenna utilizes an S‐shaped microstrip feed line to excite fundamental HE11δ like mode and hybrid mode in dual‐CDRAs. The presented antenna structures are acting as monopole antenna separately with 48.75% (3.88‐6.38 GHz) bandwidth whereas both radiators called dual‐CDRAs enhances the bandwidth up to 93.06% (2.16‐5.92 GHz) in addition with an axial ratio bandwidth of 15.2% (3.52‐4.1 GHz). The proposed antenna is applicable for WiMAX (3.4‐3.69 GHz), and WLAN application of 802.11d and 8.02. 11e IEEE standard. For validation of simulated results, an antenna prototype has been fabricated and experimentally verified. A good agreement between simulation and measured results are obtained. The simulation results have been carried out by using Ansys HFSS 14.0 version software.
Revealing User Influence in an Online Newspaper

Os jornais on-line tornaram-se uma maneira muito popular de compartilhar informacoes, bem como permitir que os usuarios comentem noticias e comentarios uns dos outros. Em tais ambientes, alguns usuarios desempenham um papel proeminente e, eventualmente, influenciam outros usuarios, conduzindo as discussoes como desejam. Ate agora, nao ha como identificar e quantificar tal influencia. Este artigo propoe e analisa uma metodologia para identificar usuarios influentes que constroi redes sociais implicitas sobre usuarios que postam comentarios nas mesmas noticias, sugere tres maneiras diferentes de identificar usuarios influentes e mede a influencia com base na similaridade dos comentarios. Aplicamos isso a dados coletados de um jornal on-line brasileiro e os resultados confirmam sua eficacia revelando uma semelhanca significativa entre comentarios de usuarios influentes identificados e os demais.
Unraveling the aggregation dynamics of amyloidogenesis: A data-driven mathematical modeling approach

Proteins often get misfolded into highly ordered amyloid aggregates that are found to be associated with various neurodegenerative diseases. However, the dynamical events that lead to such self organization of different types of proteins are still poorly understood due to the experimentally untractable complex molecular mechanism, which governs the process of amyloidogenesis. Herein, we propose a generic and data-driven mathematical modeling approach that enables us to decipher a most probable molecular mechanism responsible for amyloidogensis in a context dependent manner. The preferred model efficiently elucidates various aspects of amyloid forming kinetics as a function of initial protein concentration, and qualitatively predicts the dynamics of amyloidogenesis for point mutated proteins. Importantly, the model analysis reveals that intermediate aggregates formed just after the primary necleation steps plays a vital role in dictating the nature of amyloid forming kinetics. Moreover, our model makes experimentally feasible insightful predictions to formulate better therapeutic measures in future to counter unwanted amyloidogenesis by just fine-tuning the molecular interactions related to amyloidogenesis. Author Summary In cells, proteins mostly function by being in a native folded conformation. However, under certain circumstances, some of these proteins undergo high degree of aggregation and eventually misfold to form highly stable amyloid aggregates that are often involved in different neurodegenerative disease progression and pathogenesis. To develop appropriate therapeutic strategies to resist such oligomerazation of protein, it is imperative to unravel the molecular interactions that essentially organize the dynamical events of amyloidogenesis. We have proposed a generic computational modeling framework to elucidate the important molecular events that govern the dynamics of amyloid formation. Our model reconciles diverse set of experimental observations including different mutant phenotyes from a dynamical perspective, and predicts possible ways to control the kinetics of amyloid formation experimentally. In future, these insights will be helpful to design drugs to treat patients with neurodegenerative disorders. Importantly, our model, in general, will be quite useful to figure out the important molecular events that are orchestrating the amyloidogenesis of different amyloid forming proteins.
Test Transplantation through Dynamic Test Slicing

Previous research has demonstrated that the test coverage of libraries can be expanded by using existing test inputs from their dependent projects. In this paper, we propose an algorithm for test transplantation based on test slicing. The algorithm extracts test inputs, isolates them by creating mocks, and then transplants the test code onto the test suite of the libraries. To achieve test slicing, we dynamically execute the tests in the dependent project and create its graph of histories. Then, we traverse back from the interesting object state and collect the corresponding edges. Finally, we reverse the collected edges and create a sequence of method calls to reconstruct the same object state. We have implemented a proof-of-concept in Pharo-Smalltalk, in this paper we discuss the lessons learned so far.
Artificial Neural Network Training of Unshaded Datasheet for Photovoltaic Maximal Power Point Prediction under Partial Shading Conditions

Partial shading conditions (PSCs) significantly reduce photovoltaic generated power and increases the difficulty of maximal power point (MPP) tracking. In this paper, artificial neural network (ANN) model is adopted to predict the photovoltaic MPP, so as to address the issue of MPP tracking under PSCs. Firstly, the irradiance, temperature, and maximum output power of photovoltaic system under uniform irradiation are collected, and the constructed ANN is analyzed and trained. After that, this ANN trained by unshaded datasheet is used to predict the MPP under PSCs. To increase accuracy in this step, the prediction results are arranged in ascending order of error, and the MPP under PSCs is predicted again. This error ranging process greatly reduces the prediction error. According to the simulation results, changing the number and sequence of input data of ANN greatly affects the error of prediction results. Therefore, this paper realizes accurate prediction of photovoltaic MPP under PSCs by collecting the datasheet of photovoltaic system without shading. The proposed method is beneficial to reducing the ANN training cost and enhancing its prediction accuracy in scenarios drastically different from the training context.
Fully self-consistent calculations of magnetic structure within non-collinear Alexander-Anderson model

An implementation of the non-collinear Alexander–Anderson model for itinerant electrons in magnetic systems is presented where self-consistency is reached for speciﬁed directions of the magnetic moments. This is achieved by means of Lagrange multipliers and a variational principle for determining the transverse and longitudinal components of the magnetic moments as well as the average number of d -electrons using direct optimisation. Various optimisation algorithms are compared and the limited memory Broyden–Fletcher–Goldfarb–Shanno algorithm is found to give the best performance. An application to antiferromagnetic Cr crystal is presented where spin-dynamics and curvature of the energy surface are calculated to compare results obtained with and without the constraints on the orientation of the magnetic moments.
Carbon nanotube Q-switched Yb:KLuW surface channel waveguide lasers

A channel waveguide (WG) buried immediately below the surface of a Yb:KLuW crystal is used as a laser gain medium for passive ${Q}$Q-switching by both evanescent- and direct-field interactions with single-walled carbon nanotubes (SWCNTs) near 1040 nm. The SWCNTs used as saturable absorbers (SAs) are deposited on top of the half-ring-type channel WG fabricated via femtosecond direct laser writing. The ${Q}$Q-switched WG laser delivers 88.5 ns pulses at a 1.16 MHz repetition rate with a maximum average output power of 680 mW. For the two different interaction schemes with SWCNT-SAs, the pulse characteristics, depending on the output coupling ratio and absorbed pump power, are experimentally investigated and compared to the results of theoretical analyses of the SA ${Q}$Q-switched operation.
Generalized Predictive based Active Disturbance Rejection Control for Asymmetric Six-Phase PMSM Speed Regulation System

This paper proposes an active disturbance rejection predictive control (ADRPC) strategy to improve the robustness of the six-phase permanent magnet synchronous machine (PMSM) regulation system under complex working conditions. Compared to the traditional linear active disturbance rejection control (LADRC), ADRPC adopts the generalized predictive control (GPC) for the linear state error feedback control (LSEF) law to improve the control performance. Due to the continuous moving optimization based on the minimum variance control, this law improves the speed response compared to the conventional LSEF while maintaining stability. The system model and the controller mathematical derivation equation are established in this paper to build the simulation model. It is verified that ADRPC has better robustness than LADRC according to the comparison of simulation results.