Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Profiling for Weight Loss: Potential Candidate Genes

Background: Genome wide association studies have provided valuable information pertaining to a potential link between certain genetic polymorphisms and the prevalence of obesity. These findings have led to the assessment of obesity-related genes in relation to health outcomes after participation in a weight loss intervention. Few studies to date have taken these findings one-step further regarding use of these genes as part of a genetic profile to dictate dietary prescription for optimization of weight loss and health outcomes. The purpose of this review to explain how genetic profiling may be useful within a weight loss intervention to promote weight loss and improved health outcomes, and identify potential candidate genes for use in genetic profiling. Methods: A literature search was conducted using PubMed Central since this search engine’s primary focus is within the biomedical discipline, including literature from MEDLINE, life science journals, and related online books. Results and conclusions: To date, candidate genes selected within weight loss interventions utilizing a genetic profile are relatively inconsistent. One investigation demonstrated clear, significant results in favor of dietary prescription based on the profile used and thus warrants further investigation with use of the candidate genes selected. This genetic profile is further supported by investigations assessing each candidate gene in relation to health outcomes from weight loss interventions. Therefore, weight loss interventions genotyping for FABP2 (rs1799883), PPARG2 (rs1801282), ADRB3 (rs4994C3), and ADRB2 (rs1042713 and rs1042714) together to dictate dietary intervention, while including an exercise component, may be useful in optimizing success from participation in a weight loss intervention.
Training and Transfer: Exploring Issues of Embedded Training in Complex Systems

Integrating training into the design and development of new systems is a challenging goal for many organizations. Embedded training (ET) has been a research topic for many years, but as systems become more complex, teams more distributed, and development and training timelines shortened, ET is more critical. This panel with research and operational experience provide their perspective on ET with examples from different domains. Discussion will include training and transfer, as they relate to ET design.
A Novel Interval Type-2 Fuzzy-Based Direct Torque Control of Induction Motor Drive Using Five-Level Diode-Clamped Inverter

This article provides an interval type-2 fuzzy-based direct torque control (IT2FDTC) of the induction motor drive (IMD) in which the space vector modulation technique is used here to activate a five-level diode-clamped inverter (FDCI). Moreover, it is implemented with the help of the DSPACE-1103 controller in a real-time application using 2HP induction motor and its overall performance is compared with a conventional proportional-integral direct torque control (CPIDTC). In IT2FDTC, all four capacitor voltages of FDCI based on minimum energy principles are balanced well and settled back quickly with fewer peak overshoots than CPIDTC during various operational conditions. In addition, it can provide lesser torque and flux ripples with a fast dynamic performance of IMD over a CPIDTC. A 3-D Mamdani type-2 fuzzy controller along with the centroid method is used in IT2FDTC. Hence, the proposed method of study not only controls the gains of proportional integral effectively but also controls the duty ratios of a modulating wave to further improve the dynamic performance and current profile of IMD.
Construcción de una Escala de Habilidades Protomentalistas para infantes

Protomentalist skills are the basis for developing the theory of mind, that is the cognitive component of empathy so important for the effective social bond of human beings (Riviere, 2000; Saiz, Carbonero and Roman, 2012; Westby and Robinson, 2014). The objectives of the present study were to build a scale for the evaluation of the development of Protomentalist skills (PROTO - HM) aimed at infants under the age of 3, and to estimate its content validity. The scale was evaluated by 12 expert judges in child development in the United States of America, Chile and Peru. They observed the clarity of the statements, as well as the relevance and representativeness of the items according to the proposed theoretical model. In order to obtain the validity of content, Aiken V was used with 95% confidence intervals. The results show that all the items, dimensions and sub-dimensions of the protomentalist skills of interaction with people and interaction with objects show values higher than . 80, these being statistically significant with respect to the minimum criteria of Aiken (.60). At the same time it evidences a good item performance because the lower limits of the 95% confidence interval were greater than . 50 in all cases.
Sosyal Medya Bağımlılığı ve İyilik Hali: Romantik İlişkilerde Mükemmeliyetçiliğin Aracılık Rolü

The aim of current research is to investigate the mediation role of romantic relationship perfectionism on the effect of social media addiction on flourishing in university students. The participants were 199 females and 155 males and ranged in age from 18 to 31 years old (M = 20.80, SD = 2.18). The participants filled out the Flourishing Scale, the Social Media Disorder Scale, and the Romantic Relationship Perfectionism Scale. The present research utilized the Structural Equation Modelling (SEM) and bootstrapping techniques to examine the hypothesized research model. The SEM and bootstrapping results revealed that (a) social media addiction positively predicted on romantic relationship perfectionism; (b) social media addiction negatively predicted on flourishing; (c) romantic relationship perfectionism negatively predicted on flourishing; (d) social media addiction predicted flourishing via mediation of romantic relationship perfectionism. The findings suggested that social media addiction associated with flourishing both directly and indirectly, romantic relationship perfectionism mediated the association between social media addiction on flourishing in university students. The findings were discussed in the light of the literature and limitations were presented
Candida Infections in Intensive Care Unit: How to Treat?

The number of fungal infections observed in hospitalized patients has been gradually increasing in recent years. Bloodstream infections due to Candida spp. constitute the majority of hospital-acquired fungal infections. Two-thirds of all candidemias occur in patients in the intensive care units. Early initiation of appropriate treatment decreases high mortality in these cases. On the other hand, difficulty in diagnosis, economic cost of drug treatments, development of resistance, and effect of unnecessary drug use on ecology are major obstacles to the initiation of treatment. The recommendations on which conditions, in which patients, and when and which antifungal therapy should be initiated are discussed in this review. Klimik Dergisi 2019; 32(Suppl. 2):154-62.
Complex networks of miRNA-transcription factors mediate gene dosage compensation in aneuploid cancer

Cancer complexity is consequence of enormous genomic instability leading to aneuploidy, a hallmark of most cancers. We hypothesize that dosage compensation of critical genes could arise from systems-level properties of complex networks of microRNAs (miRNA) and transcription factors (TF) as a way for cancer cells to withstand the negative effects of aneuploidy. We studied gene dosage compensation at the transcriptional level on data of the NCI-60 cancer cell line panel with the aid of computational models to identify candidate genes with low tolerance to variation in gene expression despite high variation in copy numbers. We identified a network of TF and miRNAs validated interactions with those genes to construct a mathematical model where the property of dosage compensation emerged for MYC and STAT3. Compensation was mediated by feedback and feed-forward motifs with 4 miRNAs and was dependent on the kinetic parameters of these TF-miRNA interactions, indicating that network analysis was not enough to identify this emergent property. The inhibition of miRNAs compensating MYC suggest a therapeutic potential of targeting gene dosage compensation against aneuploid cancer.
Velocidad de procesamiento de la información en la enfermedad de Alzheimer

Introduction: Slowdown of information processing speed (ISP) is a common finding in a variety of brain pathologies. From a clinical point of view, assessment of ISP is of great interest since cognitive processing can be affected and, consequently, show consequences on daily living activities. The aim was to study the time in performing different executive tasks, as measures of information processing speed, in subjects with different severity of Alzheimer’s Disease. Number of mistakes in the different taks has also been analysed. Method: 50 patients with Alzheimer ́s Disease presenting mild (n = 17), moderate (n = 17) and moderately severe (n = 16) cognitive impairment, according to Global Deterioration Scale; and 60 subjects with no cognitive impairment. Trail-Making test, Zoo Map test and Stroop test were administered. Results: Statistically significant differences were found between all groups in all measures performed, time of performance and number of mistakes in Trail-Making test; time of performance and number of mistakes in the Zoo Map test; and words, color and, word-color conditions in Stroop test (p < 0,01). Conclusions: Our results suggest that information processing in patients with Alzheimer ́s Disease is slower compared to patients with no cognitive impairment, since a higher time of performance and rate of mistakes are presented.
Implementation of Fuzzy C-Means algorithm to classifying research topics in informatics department, UIN Sunan Gunung

The more rapid and large number of electronic documents stored in University library repositories or Departments, such as scientific works from academicians including theses, research reports, etc., are available in the digital version. In the process of grouping the thesis title automatically it is hoped that it can help policy makers such as the head of the study program. In this case the researcher uses fuzzy c-means algorithm which can group data in clusters so that the data of a cluster has a high level of equality with each other. In the application there is a text mining method which is a development of data mining that can be applied to overcome thesis grouping problems or research data. The result is a web that can classify research data / thesis data with a total accuracy of 96%. This number is the accuracy given based on the performance of the fuzzy c-means algorithm on the system.
The Impact of University Entrepreneurship Education on Financial Performance of Graduate Entrepreneurs

This paper investigates the relationship between university entrepreneurship education and financial performance of graduate entrepreneurs. Guided by the theory of planned behaviour, data were collected via a five point Likert questionnaire and analysed using a linear regression model. The findings of the study indicate that university entrepreneurship education has significant positive relationship with financial performance of graduate entrepreneurs. On the basis of this finding, the study concludes, among others, that university entrepreneurship education is beyond teaching business, instead it inculcates entrepreneurship spirit that impact on the performance of graduate entrepreneurs. While these findings has met the objectives of the study, further research is recommended on the relationship between entrepreneurship education and financial performance of graduate entrepreneurs according to discipline such as accounting graduate entrepreneurs.
THE ANTIDEPRESSANTS IN THE TREATMENT OF CHRONIC PAIN

For a long time, the psychiatrists have shown interest for the pain, because of its association with the depression and the anxiety. There are four types of pain: nociceptive, neuropathic, psychogenic and mixed pain. The affective, anxiety and somatization disorders, the hypochondriasis, the various losses, the secondary benefit and other factors must be taken into account when evaluating the pain. Pain and depression are correlated each of them can generate or aggravate the other. The chronic pain demands a multidisciplinary therapeutic approach, and the psychiatrist plays an important role in managing it. The pharmacological therapy of the chronic pain involves analgesics, antiepileptic drugs, antidepressants, antipsychotics, certain benzodiazepines and a psychotherapeutic approach. For the nociceptive pain, the classic analgesics proved effective. For the neuropathic pain the antidepressant and antiepileptic medication is the first line treatment. For allodynia and hyperalgesia the sympathicolitic medication is approved. The efficacy of the antidepressants on the pain unrelated to depression certifies that they have a direct analgesic effect. Even more, certain antidepressants increase the opiates effects in the central nervous system. The tricyclic antidepressants were the first studied antidepressants for the treatment of the chronic pain. The selective serotonin reuptake inhibitors are less efficient in treating the chronic pain because they act on a single neurotransmitter, so the dual antidepressants are preferred. When administering antidepressants other concurrent conditions that might limit their use must be taken into account and they can be administered in association with antipsychotics which intensify their analgetic attribute. Using benzodiazepines is not recommended in the chronic pain, except for clonazepam. The antiepileptics are the first line therapy for the neuropathic pain, followed by the antiarrithmics.Using topic agents shows some theoretical advantages, but the studies show inconsistent results.
Dual-point FDG-PET: A novel scanning technique in Hodgkin lymphoma with bulky disease.

8077 Background: Interim 18F-FDG-PET (iPET) is the most important prognosticator in advanced-stage ABVD-treated Hodgkin Lymphoma (HL), but in early stage w/ or w/o bulky lesion a low PPV of iPET was reported. Dual-point PET scan (2P-PET) has been used to discriminate unspecific inflammatory from neoplastic FDG uptake. At the Tx end, with a single FDG-avid mass (SFAM), the specificity of PET in Tx response evaluation was sub-optimal. We report here preliminary results from a cohort of HL patients (p) presenting with bulky lesions, scanned with 2P-PET with the aim to increase specificity and PPV. Methods: From 12.2008 till 01.2012 24 HL bulky p from Italian, French and Polish centers underwent 2P-PET at baseline (2P-PET-0), after 2 ABVD (2P-PET-2) and at Tx end (2P-PET-end). 2P-PET scanning technique consisted in 2 consecutive image acquisitions +60’ (EaS) and +120’(LaS) after single, standard-dose FDG injection. Tx was ABVD (x4 or x6) ± consolidation RxT. No Tx change was done based on iPET results. Scans .
Creating a Digital Twin: Simulation of a Business Model Design Tool

Article history: Received: 03 December, 2018 Accepted: 02 November, 2019 Online: 22 November, 2019 Digitization forces industry players to adapt to transforming market situations and buyer behavior. Technological advances, buyer power, and sharpened competitive intensity imply that businesses are confronted with the menace of commoditization. For companies to perform successfully in the market, outdated business models ought to be rethought and new business models should be created. Unique selling propositions and differentiation through research, innovation, and holistic stakeholder involvement help industry players to master the change. A tool was built to support businesses facing the consequences of digital transformation: the Business Model Builder. This research paper explores the steps of creating a software version of the analog Business Model Builder. The digital twin enables firms to simulate the iterative adaptation of business models to permanently changing market circumstances and customer demands on an ongoing basis. The user of the tool can edit single variables, understand interrelations, and see the effect on the outcome of the business case, e.g., earnings before interest and taxes or economic value added. Accordingly, the simulation offers the opportunity to have a dynamic view of the business model where any variances of input parameters are reflected in the business case. Thus, profitability, feasibility, and functionality of a business model can be validated, tested, and reviewed in the digital simulation tool.
Derechos humanos-Juventud- Políticas públicas. Un dilema latinoamericano y uruguayo aún por resolver

El objetivo de este trabajo es generar algunas reflexiones sobre el campo de las politicas publicas dirigidas a la juventud en Latinoamerica y especialmente Uruguay. Su metodo se centra en una indagacion de las fuentes relacionadas al tema con un analisis comparativo critico de datos, a los que se ha agregado reflexiones sobre los vaivenes entre Estado de bienestar y neoliberalismo y algunas caracteristicas psicosociales que surgen de los mismos. Entre los resultados obtenidos destaca la necesidad de revisar a profundidad el concepto de “juventud” y “adolescencia” atravesado por un imaginario social o idealizante o denigrante que no permite definir adecuadamente el “sujeto” social hacia el que se dirige estas politicas publicas. Se indica, como un factor relevante de las consideraciones finales que en tal sentido es necesario incluir variables demograficas, de genero, procesos historicos, nuevos tipos de cultura emergente (como las tribus urbanas), las diferencias rurales-urbanas y las transiciones familiares, entre otras, para redefinir certeramente este “sujeto” social y alcanzar entonces un redimensionamento eficaz de las politicas publicas.
Importance of Infrastructure and Learners Readiness for Administration of E-Learning in Undergraduate Medical Education

BACKGROUND: A combination of teaching modalities instead of a single method may enhance learning. The purpose of the current study was to evaluate the effectiveness of integrating e-learning modules into the syllabi of clinical contents from different clinical majors at different levels. METHODS: A total of 108 undergraduate students enrolled from various clinical majors, and participated via using sub-syllabi from gynaecology courses in classroom-based sessions and e-learning modules. All students were proposed to attend pre- and post-test sessions in addition to training. Prior to being admitted to the study, all participants filled out a questionnaire regarding their attitude toward, and desire to participate in, e-learning. RESULTS: Mean exam grades increased significantly in 3 items including Abnormal uterine bleeding (from 1.28± 1.11 pretest to 2.3± 1.11 post-test), Breast masses and malignancies (from 2.61± 1.3 pretest to 3.9± 1.11 post-test) and Gestational trophoblastic Neoplasia (from 1.12± 1.04 pre-test to 3.58± 0.76 post-test). DISCUSSION: The Results dramatically demonstrated that access to suitable infrastructure and students’ readiness are crucial perquisites for e-learning and without them, lack of collaboration and engagement of the learners significantly diminish effectiveness and usability of the learning material, despite high quality content provided within suitable environment.
Impact of Talent Management on Organizational Effectiveness: Mediation Model of Psychological Contract

A major challenge for human resource professionals and talent management (TM) literature is to establish a robust and immaculate evidence defining the relationship between TM and its outcomes. Although, theoretical and conceptual bases of TM literature have been examined in the West that provide somehow empirical evidences; whilst, limited such studies have been conducted in the Asian region. The relationship of TM and organizational effectiveness (OE) has been rarely studied, without describing that how does this relationship transpire? Similarly, most of the studies on psychological contract (PC) conceded inclusively, rather than investigating its typological assertion with the connotation of TM. This yields the research gap. The novelty of the current study underpins the particular dimension of PC that is relational PC as a mediator, in the lens of TM, which was not discussed in the previous studies with the relationship of OE. Total 309 managers including top and middle level of management from telecom sector of Pakistan have participated in the research, using simple random sampling technique. Structural equation modeling (SEM) was used to test the hypotheses in AMOS 20. Results revealed that TM has significant positive effect on relational PC and OE, and relational PC positively relates to OE. Furthermore, relational PC has a partial mediation between TM and OE. The study contributes to bolster the TM literature, in more viable form and provides the basis for future studies, along with managerial implications and recommendations.
High‐Performance Thermoelectric SnSe: Aqueous Synthesis, Innovations, and Challenges

Tin selenide (SnSe) is one of the most promising candidates to realize environmentally friendly, cost‐effective, and high‐performance thermoelectrics, derived from its outstanding electrical transport properties by appropriate bandgaps and intrinsic low lattice thermal conductivity from its anharmonic layered structure. Advanced aqueous synthesis possesses various unique advantages including convenient morphology control, exceptional high doping solubility, and distinctive vacancy engineering. Considering that there is an urgent demand for a comprehensive survey on the aqueous synthesis technique applied to thermoelectric SnSe, herein, a thorough overview of aqueous synthesis, characterization, and thermoelectric performance in SnSe is provided. New insights into the aqueous synthesis‐based strategies for improving the performance are provided, including vacancy synergy, crystallization design, solubility breakthrough, and local lattice imperfection engineering, and an attempt to build the inherent links between the aqueous synthesis‐induced structural characteristics and the excellent thermoelectric performance is presented. Furthermore, the significant advantages and potentials of an aqueous synthesis route for fabricating SnSe‐based 2D thermoelectric generators, including nanorods, nanobelts, and nanosheets, are also discussed. Finally, the controversy, strategy, and outlook toward future enhancement of SnSe‐based thermoelectric materials are also provided. This Review guides the design of thermoelectric SnSe with high performance and provides new perspectives as a reference for other thermoelectric systems.
Dual band frequency tunable planar inverted‐F antenna for mobile handheld devices

A single feed, dual‐band frequency tunable planar inverted‐F antenna (PIFA) is presented for mobile handheld device applications. The proposed antenna is designed using the transmission line model. The dual‐band frequency tunability is achieved by varying the capacitance of the varactor diode between 4.15 pF (0 V) and 0.72 pF (15 V). The measured impedance bandwidth of −6 dB is realized from 0.8 to 0.98 GHz for the lower band and 1.65 to 2.2 GHz for the higher band. The designed antenna provides the independent frequency tunability for both the bands without disturbing each other. The maximum antenna gain is estimated 2.64 dBi for the proposed PIFA. Also, it has a maximum efficiency of ~85% for the mobile handheld device. In addition, the proposed PIFA is investigated with SAM phantom model for head and hand, found to be within the acceptable SAR limit of 1.6 W/Kg.