SUPLEMEN HERBAL UNTUK DIABETES MELLITUS TIPE II : SYSTEMATIC REVIEW

Pendahuluan: Diabetes adalah penyakit endokrin dengan insiden global yang signifikan yang menempatkan pasien pada risiko komplikasi. Penderita diabetes tipe 2 diobati dengan berbagai cara, antara lain pengobatan tradisional dan pengobatan alternatif seperti jamu. Tujuan dari penelitian ini adalah untuk mengetahui khasiat pengobatan herbal untuk diabetes tipe 2. Metode: Sumber pencarian berasal dari 5 database (Scopus, Sage, Science direct, Ebsco, dan ProQuest) yang diterbitkan antara 2015 dan 2020:. Pencarian menggunakan kata kunci "pengobatan herbal" dan "Diabetes Mellitus Tipe 2" serta HbA1c. Random control trial adalah jenis penelitian yang paling sering digunakan. Hasil: Penelitian ini menunjukkan bahwa berbagai pengobatan herbal, termasuk Momordica charantia, kayu manis, dan whortleberry Kaukasia, nanocurcumin, minyak kenari, dan akar Berberis integerrima, dapat digunakan untuk menurunkan glukosa darah. Diskusi: Terapi herbal juga memiliki efek sekunder lainnya, yaitu seperti kemampuan untuk mengurangi stres, meningkatkan kualitas hidup, mengatur berat badan, dan mempertahankan tingkat glikemik normal.

TO EVALUATE IVF OUTCOME BETWEEN FLARE-UP VERSUS ANTAGONIST AMONG POOR RESPONDERS’ PROGNOSIS PATIENTS AND RELATED FACTORS AT NATIONAL CENTER FOR ASSISTED REPRODUCTIVE TECHNOLOGY

Objectives: To assess the outcome of Flare-up versus Antagonist protocol and to determine factors related to poor responders.Methodology: this is a random control trial among 834 patients who were predicted to ovarian poor response from 2014 to 2018.Results: The rate of biochemical pregnancy was 4.5% with Flare-up versus 8,1% with Antagonist (p<0.05). The rate of fertilization, implantation and clinical pregnancy were not significant differentbetween the 2 protocols. Age and number of AFC were significant factors to predict poor ovarian response. However, with Flare-up, there were 2 more factors could be used for the purpose whichwas basal FSH and E2 day 7.Conclusion: The outcome of treatment between Flare-up and Antagonist among predicted poor ovarian response was comparable. Age and AFC were valuable factors in prediction of poor ovarianresponse.

Can Optic Flow Further Stimulate Treadmill-Elicited Stepping in Newborns?

Typically developing 3-day-old newborns take significantly more forward steps on a moving treadmill belt than on a static belt. The current experiment examined whether projecting optic flows that specified forward motion onto the moving treadmill surface (black dots moving on the white treadmill surface) would further enhance forward stepping. Twenty newborns were supported on a moving treadmill without optic flow (No OF), with optic flow matching the treadmill’s direction and speed (Congruent), with optic flow in the same direction but at a faster speed (Faster), and in a control condition with an incoherent optic flow moving at the same speed as in the Congruent condition but in random directions (Random). The results revealed no significant differences in the number or coordination of forward treadmill steps taken in each condition. However, the Faster condition generated significantly fewer leg pumping movements than the Random control condition. When highly aroused, newborns made significantly fewer single steps and significantly more parallel steps and pumping movements. We speculate the null findings may be a function of the high friction material that covered the treadmill surface.

Efficacy of Systemic Treatments of Nail Psoriasis: A Systemic Literature Review and Meta-Analysis

Importance: Nail involvement is a common condition in patients with psoriasis. The treatment of nail psoriasis is considered challenging and is often left untreated by physicians.Objective: To assess the efficacy of current systemic treatments on nail psoriasis.Data Sources: PubMed, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) were searched for relevant articles from inception to September 1, 2020. Included articles were restricted to English language and human studies.Study Selection: This was a systematic literature review with meta-analysis. Thirty-five random control trials that evaluated systemic therapies for nail psoriasis were selected in the systemic review. Among them, we retained 14 trials for meta-analysis.Data Extraction and Synthesis: This study was conducted in accordance with the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. All steps were performed by two independent investigators, and any disagreements were resolved by a third investigator. Meta-analysis of aggregated study data was conducted to assess therapeutic efficacy. The use of random-effects model was based on high heterogeneity as a variable endpoint in different studies.Main Outcomes and Measures: Therapeutic effects on nail psoriasis were expressed in terms of effect sizes with 95% CIs.Results: We included 35 random control trials (RCTs) in this systemic review. At baseline, a high prevalence (62.1%) of nail psoriasis was confirmed. The meta-analysis included 14 trials highlighting that biologic and small-molecule therapies were effective in treating nail psoriasis with variable effect size magnitudes [−0.89 (−1.10, −0.68), I2 = 84%]. In particular, tofacitinib and ixekizumab showed the most significant scale of effect size magnitudes in treating nail psoriasis (−1.08 points and −0.93 points, respectively). We also found that a higher dose of tofacitinib and ixekizumab had similar effectiveness, and anti-IL-17 agents seem to be superior in effectiveness compared to anti-TNF-α therapies in the treatment of nail psoriasis. However, these results must be displayed carefully as variable endpoints in different studies.Conclusions and Relevance: This study provides a comprehensive overview of systemic treatments for nail psoriasis. For patients with psoriatic nail damage who are candidates of systemic therapies, the priority should be given to administering biologic and small-molecule therapies, especially anti-IL-17 drugs.

Improved whale optimization algorithm based on random hopping update and random control parameter

Whale Optimization Algorithm (WOA) is a relatively novel algorithm in the field of meta-heuristic algorithms. WOA can reveal an efficient performance compared with other well-established optimization algorithms, but there is still a problem of premature convergence and easy to fall into local optimal in complex multimodal functions, so this paper presents an improved WOA, and proposes the random hopping update strategy and random control parameter strategy to improve the exploration and exploitation ability of WOA. In this paper, 24 well-known benchmark functions are used to test the algorithm, including 10 unimodal functions and 14 multimodal functions. The experimental results show that the convergence accuracy of the proposed algorithm is better than that of the original algorithm on 21 functions, and better than that of the other 5 algorithms on 23 functions.

Stochastic quasi-subgradient method for stochastic quasi-convex feasibility problems

<p style='text-indent:20px;'>The feasibility problem is at the core of the modeling of many problems in various disciplines of mathematics and physical sciences, and the quasi-convex function is widely applied in many fields such as economics, finance, and management science. In this paper, we consider the stochastic quasi-convex feasibility problem (SQFP), which is to find a common point of infinitely many sublevel sets of quasi-convex functions. Inspired by the idea of a stochastic index scheme, we propose a stochastic quasi-subgradient method to solve the SQFP, in which the quasi-subgradients of a random (and finite) index set of component quasi-convex functions at the current iterate are used to construct the descent direction at each iteration. Moreover, we introduce a notion of Hölder-type error bound property relative to the random control sequence for the SQFP, and use it to establish the global convergence theorem and convergence rate theory of the stochastic quasi-subgradient method. It is revealed in this paper that the stochastic quasi-subgradient method enjoys both advantages of low computational cost requirement and fast convergence feature.</p>