STRUCTURE PREDICTION AND IN SILICO DESIGNING OF DRUGS AGAINST KALLIKREIN PROTEIN 12

Objective: Human Kallikrein protein 12 (hK12) might serve as a novel diagnostic and prognostic biomarker, as well as a potential therapeutic target, in gastric cancer.Methods: In this work, a theoretical model of hK12 receptor protein was generated using the concepts of homology modeling and loop modeling. The resulting model was validated with Ramachandran plot analysis. The ligands generated with the help of Drug bank were docked against hK12 receptor protein using AutoDock Vina in PyRx 0.8. The structure of ligand DB04786 (Suramin), with least binding energy, was varied by using ACD/ChemSketch 8.0 and the docking was done for the resulting 16 new ligands.Results: The results indicated that the ligand10 bears the minimum binding energy (-12.3 Kcal/mol) with the target protein and thus the prospects of binding are high. The results also clearly demonstrated that the in silico molecular docking studies of selected ligands, i.e., suramin, ligands 5, 6, 10 and 16 with hK12 protein exhibited favourable binding interactions and warranted.Conclusion: Further studies needed for the development of potent inhibitors for the overexpression of hK12 protein making the management of gastric cancer more efficient

Totally Contact Umbilical Radical Transversal Lightlike Submanifolds Of An Almost Contact Manifold With B-Metric

In the present paper, we study the geometry of totally contact umbilical radical transversal lightlike submanifolds and totally contact umbilical CR- submanifold of an indenite Sasaki-like almost contact manifold with B-metric. We nd the necessary and sucient condition for the characterization of the induced connection to be a metric connection. Finally, we have proved that for a totally contact umbilical CR-submanifold, totally contact umbilical radical transversal lightlike submanifold is a totally geodesic radical transversal lightlike submanifold

Second trimester placental thickness: its’ correlation with gestational age, femur length and biparietal diameter

Background: Placental thickness (PT) is the easiest placental dimension to measure, yet little is known about the normal PT. The aim of this study was to determine the normal, sonographically measured PT in millimetre (mm) in the second trimester and to determine if this measurement can be adjusted for gestational age for that time and evaluate its relationship with femur length and biparietal diameter of the fetus.Methods: The study was a cross sectional observational study, recruiting 100 consecutive, singleton pregnancies, reporting for ultrasonography (USG) between 14 weeks and 24 weeks of gestation, having undergone at least one ultrasonogram in the first trimester, with known last menstrual period (LMP). The placental thickness was measured perpendicular to the uterine wall, through the placenta at the site of cord insertion.Results: The average age of study population was 24.96 with a standard deviation (SD) of 2.70 years with the minimum age being 18 years and maximum age being 32 years. Regression analysis yielded the following mathematical relationships between PT, Gestational age (GA), Biparietal diameter (BPD) and Femur length (FL) in the second trimester. Y(PT)= 0.9366x (Gestation age)+1.655, R2 = 0.7332; Y(PT)= 0.2872x(BPD)+6.9578, R2= 0.7314; Y(PT)=0.2995x(FL)+ 10.03, R2 = 0.6186Conclusions: PT in present study showed a positive linear correlation with gestational age, FL and BPD in second trimester. Also, it can be concluded that PT may be used as a predictor of GA in women with unknown LMP

Using ordinal logistic regression to evaluate the performance of laser-Doppler predictions of burn-healing time

Background Laser-Doppler imaging (LDI) of cutaneous blood flow is beginning to be used by burn surgeons to predict the healing time of burn wounds; predicted healing time is used to determine wound treatment as either dressings or surgery. In this paper, we do a statistical analysis of the performance of the technique. Methods We used data from a study carried out by five burn centers: LDI was done once between days 2 to 5 post burn, and healing was assessed at both 14 days and 21 days post burn. Random-effects ordinal logistic regression and other models such as the continuation ratio model were used to model healing-time as a function of the LDI data, and of demographic and wound history variables. Statistical methods were also used to study the false-color palette, which enables the laser-Doppler imager to be used by clinicians as a decision-support tool. Results Overall performance is that diagnoses are over 90% correct. Related questions addressed were what was the best blood flow summary statistic and whether, given the blood flow measurements, demographic and observational variables had any additional predictive power (age, sex, race, % total body surface area burned (%TBSA), site and cause of burn, day of LDI scan, burn center). It was found that mean laser-Doppler flux over a wound area was the best statistic, and that, given the same mean flux, women recover slightly more slowly than men. Further, the likely degradation in predictive performance on moving to a patient group with larger %TBSA than those in the data sample was studied, and shown to be small. Conclusion Modeling healing time is a complex statistical problem, with random effects due to multiple burn areas per individual, and censoring caused by patients missing hospital visits and undergoing surgery. This analysis applies state-of-the art statistical methods such as the bootstrap and permutation tests to a medical problem of topical interest. New medical findings are that age and %TBSA are not important predictors of healing time when the LDI results are known, whereas gender does influence recovery time, even when blood flow is controlled for. The conclusion regarding the palette is that an optimum three-color palette can be chosen 'automatically', but the optimum choice of a 5-color palette cannot be made solely by optimizing the percentage of correct diagnoses

Obstetric and perinatal outcome of twin pregnancy: a prospective study in a tertiary care hospital in North India

Background: Multiple pregnancy constitutes an important portion of high risk pregnancies and is a matter of grave concern to obstetricians and paediatricians owing to maternal and perinatal morbidity and mortality associated to it. Objective of present study was to evaluate maternal and perinatal outcome of twin pregnancy.Methods: This observational study included 50 women with twin pregnancy with gestational age of 26 weeks or more. Maternal and perinatal outcomes were studied.Results: The incidence of twin pregnancy was 2.8 % with maximum incidence in age group of 20 -29 years and in multigravida. Mean gestational age was 34.2 weeks. Vertex - vertex fetal presentation was most common presentation. Most frequent mode of delivery was ceserean section (54%). Preterm labour was most common maternal complication (74%), followed by anaemia (62%). Complications in perinatal period were birth hypoxia (58 %), intrauterine growth restriction (15 %), hyper-bilirubinemia (11%) and neonatal sepsis (10 %). 88% of the newborns were LBW. Perinatal mortality in our study was 17%.Conclusions: Twin pregnancies are associated with significant maternal and perinatal morbidity which is more so for second twin. Effective antenatal care planned delivery and good pediatric facilities help decrease the complications. Managment of twin pregnancy requires multidisciplinary approach and involvement of skilled obstetricians and paediatricians

ANALISIS STRATEGI PEMASARAN BERBASIS 7P MARKETING MIX DALAM MENINGKATKAN DAYA TARIK KONSUMEN: STUDI KASUS COFFEE SHOP AUTO GREAT DI KOMPLEKS MILITER BANDAR UDARA HALIM PERDANAKUSUMA

Penelitian ini bertujuan untuk mengeksplorasi strategi pemasaran yang paling efektif digunakan oleh Coffee Shop Auto Great dalam menarik pelanggan. Penelitian ini dilakukan di kompleks militer Bandar Udara Halim Perdanakusuma, di mana dinamika pasar dan perilaku konsumen memiliki karakteristik unik, yaitu berada dalam lingkungan terbatas. Dalam penelitian ini, digunakan pendekatan teori Marketing Mix 7P, untuk menganalisis berbagai aspek strategi pemasaran yang diterapkan oleh Auto Great. Pendekatan kuantitatif diterapkan dengan metode penelitian yang meliputi uji validitas dan reliabilitas menggunakan SPSS 24 dan analisis deskriptif menggunakan analisis data microsoft excel. Selain itu, dilakukan uji validitas dan reliabilitas yang bertujuan untuk mengukur seberapa tpat data yang digunakan dan apakah data tersbut dapat diandalkan dalam penlitian ini. Melalui pengumpulan data primer dari pelanggan dan analisis statistik, penelitian ini diharapkan dapat menemukan elemen-elemen dari Marketing Mix 7P, yang paling signifikan terhadap strategi pemasaran yang efektif di Auto Great, dan elemen elemen Marketing Mix 7P yang secara langsung memengaruhi keputusan pembelian konsumen. Faktor faktor tersebut juga yang berperan penting dalam membangun hubungan jangka panjang dengan pelanggan dan menciptakan pengalaman pelanggan yang positif. Hasil penelitian ini diharapkan dapat memberikan wawasan bagi pengelola bisnis Coffee Shop dalam merancang strategi pemasaran yang lebih efektif dan juga berkontribusi pada literatur pemasaran dengan menyoroti faktor-faktor yang signifikan dalam menarik dan mempertahankan pelanggan di industri kafe.***** This study aims to explore the most effective marketing strategies used by Coffee Shop Auto Great in attracting customers. This research was conducted in the Halim Perdanakusuma Airport military complex, where market dynamics and consumer behavior have unique characteristics, namely being in a limited environment. In this study, the Marketing Mix 7P theory approach is used to analyze various aspects of the marketing strategy implemented by Auto Great. The quantitative approach is applied with research methods that include validity and reliability tests using SPSS 24 and descriptive analysis using Microsoft Excel data analysis. In addition, the validity and reliability test were conducted to testify if the data are accurate and reliable in this study. Through primary data collection from customers and statistical analysis, this study is expected to find elements of the 7P Marketing Mix, which are most significant to effective marketing strategies at Auto Great, and elements of the 7P Marketing Mix that directly influence consumer purchasing decisions. These factors also play an important role in building long-term relationships with customers and creating positive customer experiences. The results of this study are expected to provide insight for Coffee Shop business managers in designing more effective marketing strategies and also contribute to marketing literature by highlighting significant factors in attracting and retaining customers in the cafe industry

Investigation of High Frequency Switching Transients on Wind Turbine Step Up Transformers

Pre-mature failures of wind turbine step up (WTSU) transformers have been reported in the wind farms although, the failed transformers had previously passed all quality assurance tests and had assembled all standard requirements. Vacuum circuit breaker (VCB) initiated steep front transient impact is one of the potential causes of such insulation failures. The use of VCB as switching devices and intense cable network increases the likelihood for high frequency transient overvoltages (TOVs) in wind farms. Multiple prestrikes and restrikes of VCB in conjunction with cable capacitance and inductance of transformer give rise to fast steep front voltage transients which eventually cause insulation failures in WTSU transformer. This emphasizes the need to conduct switching transient analysis studies for wind power plants, to investigate the severe switching overvoltages experienced by WTSU transformers. In this work, high frequency modeling in a broad frequency range for major components of the wind farms and an investigation of switching transients on WTSU transformer are presented. An adaptive model of VCB capable of simulating statistical phenomena and overvoltages on circuit breaker and the components that it interacts with is developed in PSCAD/EMTDC. A high frequency phase model of single core cable, taking into account the high frequency effect of cable, i.e., electromagnetic transient propagation, skin effect and reflections is simulated in PSCAD/EMTDC. A linear wideband frequency-dependent black box model of an actual WTSU transformer based on the experimental determination of admittance matrix in a wide frequency range and subjecting the measured admittance matrix to an approximation by means of a rational function through vector fitting is used to simulate WTSU transformer. The rational function obtained for WTSU transformer can then be realized into an RLC network for time domain simulations in PSCAD/EMTDC. A test bench is simulated using the above mentioned high frequency models and replicating Type-IV wind turbine generator synchronized with the grid. Transient scenarios are investigated to understand the most severe switching transients experienced by WTSU transformers, considering the worst repeated switching transient overvoltages and the steep rate of voltage rise experienced by the WTSU transformer. Six different attributes of voltage waveforms across the WTSU transformer are used to investigate the transient behavior in the cases carried out on the proposed test bench

Web OPTIMALISASI SISTEM DIGITALISASI PENERIMAAN DAN PENGELUARAN BARANG DENGAN LARAVEL 11 PADA PT SWADAYA GRAHA GRESIK

Optimalisasi sistem penerimaan dan distribusi barang di PT Swadaya Graha Gresik melalui implementasi digital berbasis Laravel 11 menunjukkan peningkatan operasional yang signifikan. Dengan menerapkan metodologi Waterfall, melakukan kajian literatur secara menyeluruh, serta mengumpulkan data melalui observasi dan wawancara, penelitian ini berhasil merancang sistem terintegrasi yang memanfaatkan teknologi Laravel 11, Tailwind CSS, dan MySQL. Hasil implementasi menunjukkan pengurangan waktu proses penerimaan sebesar 30% dan peningkatan tingkat akurasi hingga 95%. Sistem ini dilengkapi fitur notifikasi otomatis, laporan digital, sistem caching yang ditingkatkan, dan integrasi ERP melalui pendekatan arsitektur microservices. Keberhasilan implementasi ini tidak hanya memberikan solusi efektif bagi PT Swadaya Graha Gresik tetapi juga menjadi model referensi bagi perusahaan sejenis di Indonesia dalam melakukan transformasi digital. Temuan ini mengkonfirmasi bahwa implementasi teknologi modern dapat secara substansial meningkatkan efisiensi operasional dan akurasi dalam proses penerimaan dan distribusi barang di sektor manufaktur dan konstruksi. kontribusi positif terhadap pengelolaan logistik perusahaan