Pemanfaatan Instagram Dalam Pemasaran Produk Usaha Kecil Menengah Keripik Tempe Alkhalif Pada Masa Pandemi Covid-19

This study aims to analyze the use of Instagram in the marketing of Alkhalif Tempe Chips small and medium business products during the Covid-19 pandemic. The method used in this research is a qualitative research with a descriptive approach. The informants in this study were the owners of Alkhalif Tempe Chips UKM. Data collection techniques used are observation, interview and documentation techniques. The techniques used in data analysis are data collection, data reduction, data presentation, and drawing conclusions. Triangulation is done to explain the validity of the data by using source triangulation. The results showed that the use of Instagram in product marketing for small and medium-sized businesses Alkhalif Tempe Chips included: (1) The use of Instagram by Alkhalif Tempe Chips SMEs in product marketing through Instagram features, namely, Upload photos and videos, Captions, comments, Likes, Instagram Stories, IGTV, Hasthagh, Direct Message; (2) The use of Instagram as a product marketing medium for Alkhalif Tempe Chips SMEs provides benefits in business development, namely being one of the strong drivers for SMEs to continue to develop their business; (3) The problems that occur in marketing Alkhalif Tempe Chips products through Instagram are in terms of managing Instagram media, namely the slow response of buyers because the owner himself manages Instagram. And also buyers who compare prices with other sellers; (4) The income of Alkhalif Tempe Chips UKM in marketing products through Instagram has increased sales by up to 40% with previous sales.

Estimation of surface parameters from a 30 metre micro-meteorological tower over a deep moist convective region

The estimation of u*, 0*, q*. and Obukov-length In the surface layer from micro-meteorological tower data still poses an important challange. In the present study a procedure for the parametric estimation has been developed which is consistent both with the similarity relation and the profile relation. The study has been done using both fast response and slow response tower data. Since similarity relations involve a particular level z. so inspite of starting from a layer, the parameters should be attributed to a relations involve a particular level only, It has been suggested that the convenient level is geometric mean height of the layer. The ratio of eddy diffusivities (KhKm.) has been estimated both for stable and unstable situation and this ratio is presented by a single expression which incidentally yields a new value of a constant involved.

Autoimmune encephalitis with coexistent LGI1 and GABABR1 antibodies: case report

Background Autoimmune encephalitis (AE) with multiple auto-antibodies is of great clinical significance because its complex clinical manifestations and atypical imaging increase the difficulty of diagnosis, differential diagnosis and treatment, which may aggravate the disease, increase the recurrence rate and mortality. The coexistence of anti-Leucinie-rich Glioma Inactivated 1 (LGI1) and anti-γ-aminobutyric acid-beta-receptor 1 (GABABR1) has not been published before. Case presentation We herein present the case of a 60-year-old man with slow response, behavioral changes, psychosis and sleep disorders. Laboratory test included serum hyponatremia, positive serum LGI1 and GABABR1 antibodies using transfected cell-based assays. Electroencephalogram exhibited moderate diffusion abnormality. The patient responded well to steroid impulse treatment and sodium supplement therapy, and did not recur during the follow-up. Conclusions Here we report the first AE characterized by positive LGI1 and GABABR1 antibodies, as well as summarizing AE with multiple auto-antibodies reported so far, hopefully to provide experience for clinical practice.

Characterization of an X-ray Source Generated by a Portable Low-Current X-Pinch

An X-pinch scheme of a low-current generator (45 kA, 50 ns rise time) is characterized as a potential efficient source of soft X-rays. The X-pinch target consists of wires of 5 μm in diameter—made from either tungsten (W) or gold (Au)-plated W—loaded at two angles of 55° and 98° between the crossed wires. Time-resolved soft X-ray emission measurements are performed to provide a secure correlation with the optical probing results. A reconstruction of the actual photodiode current profile procedure was adopted, capable of overcoming the limits of the slow rising and falling times due to the “slow” response of the diodes and the noise. The pure and Au-plated W deliver an average X-ray yield, which depends only on the angle of the crossed wires, and is measured to be ~50 mJ and ~70 mJ for the 98° and 55° crossed wire angles, respectively. An additional experimental setup was developed to characterize the X-pinch as a source of X-rays with energy higher than ~6 keV, via time-integrated measurements. The X-ray emission spectrum was found to have an upper limit at 13 keV for the Au-plated W configuration at 55°. The portable tabletop X-pinch proved to be ideal for use in X-ray radiography applications, such as the detection of interior defects in biological samples.

Response time correction of slow response sensor data by deconvolution of the growth-law equation

Accurate, high resolution measurements are essential to improve our understanding of environmental processes. Several chemical sensors relying on membrane separation extraction techniques have slow response times due to a dependence on equilibrium partitioning across the membrane separating the measured medium (i.e., a measuring chamber) and the medium of interest (i.e., a solvent). We present a new technique for deconvolving slow sensor response signals using statistical inverse theory; applying a weighted linear least squares estimator with the growth-law as measurement model. The solution is regularized using model sparsity, assuming changes in the measured quantity occurs with a certain time-step, which can be selected based on domain-specific knowledge or L-curve analysis. The advantage of this method is that it: 1) models error propagation, providing an explicit uncertainty estimate of the response time corrected signal, 2) enables evaluation of the solutions self consistency, and 3) only requires instrument accuracy, response time, and data as input parameters. Functionality of the technique is demonstrated using simulated, laboratory, and field measurements. In the field experiment, the coefficient of determination (R2) of a slow response methane sensor in comparison with an alternative, fast response sensor, significantly improved from 0.18 to 0.91 after signal deconvolution. This shows how the proposed method can open up a considerably wider set of applications for sensors and methods suffering from slow response times due to a reliance on the efficacy of diffusion processes.

Association Between the Rate of Treatment Response and Short-Term Outcomes in Childhood Guillain-Barré Syndrome

Introduction: Few studies have examined the association between the rate of treatment response and the outcome of pediatric Guillain-Barré syndrome (GBS). Therefore, our study aimed to identify treatment response in relation to the short-term outcomes of GBS. Further, we investigated its potential predictive value for prognosis.Methods: Our retrospective study included children diagnosed with GBS in the Pediatric Neurology Department of the Children's Hospital of Hebei Province from 2016 to 2020. According to the rate of response from the standard intravenous immunoglobulin (IVIg) treatment, patients were divided into two groups: rapid-response GBS (initial response within 7 days) and slow-response (initial response within 8–30 days). The GBS disability score (Hughes Functional Grading Scale) was used to assess the children's functional disability at nadir, 1 month, and 6 months after onset.Results: Among the 36 children included in the study, 18 (50%) and 18 (50%) were rapid and slow responders, respectively. Time from IVIg treatment to the initial response was significantly shorter in the rapid-response group (5 [3–6.25] days vs. 10.5[8.75–15] days in slow-response GBS, p < 0.001). Hughes score at 1 month was worse than the rapid responders (Fisher's exact test, p = 0.006). Survival analysis (Kaplan–Meier) with respect to regaining the ability to walk independently (Hughes Functional Grading Scale of 2) within 1 month after onset was significantly different among the two groups (log-rank test for trend, p = 0.024). The abnormal levels of cerebral spinal fluid proteins and autonomic dysfunction were more frequent in the slow-response group than those in the rapid group (p < 0.05).Conclusion: The rate of response to IVIg treatment was correlated with short-term outcomes in children with GBS and had predictive value for prognosis. The role of patient's initial responses to treatment could be significantly valuable in developing more effective and efficient treatment options.

Improved Photoresponse Characteristics of a ZnO-Based UV Photodetector by the Formation of an Amorphous SnO2 Shell Layer

Although ZnO nanostructure-based photodetectors feature a well-established system, they still present difficulties when being used in practical situations due to their slow response time. In this study, we report on how forming an amorphous SnO2 (a-SnO2) shell layer on ZnO nanorods (NRs) enhances the photoresponse speed of a ZnO-based UV photodetector (UV PD). Our suggested UV PD, consisting of a ZnO/a-SnO2 NRs core–shell structure, shows a rise time that is 26 times faster than a UV PD with bare ZnO NRs under 365 nm UV irradiation. In addition, the light responsivity of the ZnO/SnO2 NRs PD simultaneously increases by 3.1 times, which can be attributed to the passivation effects of the coated a-SnO2 shell layer. With a wide bandgap (~4.5 eV), the a-SnO2 shell layer can successfully suppress the oxygen-mediated process on the ZnO NRs surface, improving the photoresponse properties. Therefore, with a fast photoresponse speed and a low fabrication temperature, our as-synthesized, a-SnO2-coated ZnO core–shell structure qualifies as a candidate for ZnO-based PDs.

KOINTEGRASI BURSA EFEK INDONESIA DENGAN BURSA EFEK AMERIKA SERIKAT, JEPANG, HONGKONG, DAN MALAYSIA

Penelitian ini bertujuan untuk menganalisis kointegrasi bursa efek di negara Amerika Serikat, Jepang, Hongkong, Malaysia, dan Indonesia dari tahun 2008-2020 dengan menggunakan model Vector Autoregressive Model. Penelitian ini dilakukan pada rentang waktu selama 156 bulan, di mana data yang diamati pasca krisis global di dunia (2008-2014) dan saat kemajuan ekonomi Cina yang berdampak pada perang dagang dengan USA (2014-2020). Berdasarkan hasil olah data dengan menggunakan aplikasi eviews 9.0 ditemukan adanya kointegrasi antara bursa efek di negara Amerika Serikat, Jepang, Hongkong, Malaysia, dan Indonesia yang diproksikan indeks DJIA, Hang Seng, Nikkei, KLCI, dan IHSG pada tahun 2008-2020. Hasil uji Vector Error Correction Model menunjukkan tidak adanya kausalitas jangka pendek antara pergerakan indeks Dow Jones, Nikkei, Hang Seng, KLCI, dan IHSG. Hasil uji impulse response menggambarkan impact dari perubahan pada indeks Dow Jones, Hang Seng, Nikkei, dan KLCI terhadap IHSG bersifat jangka panjang untuk kembali ke posisi setara dengan perlahan (slow response).Indeks DJIA yang menguat dipercaya dapat memberikan pengaruh positif bagi saham di Indonesia. Sehingga naik atau turunnya indeks DJIA akan diikuti pula naik atau turunnya IHSG. Implikasi dari penelitian ini adalah terkointegrasinya indeks bursa efek negara di Amerika Serikat, Jepang, Hongkong, Malaysia, dan Indonesia memberikan prediksi bagi investor terhadap fluktuasi indeks saham yang akan terjadi. This research is an empirical study regarding the cointegration of stock exchanges in US, Japan, Hongkong, Malaysia, and Indonesiafrom 2008-2020 using the Vector Autoregressive Model. This research was conducted over a period of 156 months, where data was observed after the global crisis in the world (2008-2014) and when Hongkong's economic progress had an impact on the trade war with the USA (2014-2020). Based on the results of data processing using the eviews 9.0 application, it was found that there was a cointegration between stock exchanges in the United States, Japan, Hongkong, Malaysia, and Indonesia, which were proxied by the DJIA, Hang Seng, Nikkei, KLCI, and IHSG indexes in 2008-2020. The results of the Vector Error Correction Model test show that there is no short-term causality between the movements of the Dow Jones, Nikkei, Hang Seng, KLCI, and Indonesia Composite index. The impulse response test results illustrate the long-term impact of changes in the Dow Jones, Hang Seng, Nikkei, and KLCI indices on the Indonesia Composite Index to return to an equivalent position slowly (slow response). The stronger DJIA index is believed to have a positive impact on stocks in Indonesia. So that the increase or decrease in the DJIA index will also be followed by an increase or decrease in the Indonesia Composite index. The implication of this research is the cointegration of stock exchange indexes in United States, Japan, Hongkong, Malaysia, and Indonesia can help investors to predict the fluctuation indexes.