Management and Complications of Arnold Chiari Hydrocephalus at Tertiary Health Care Center

Objective: to investigate the role of CT and MRI in diagnosis of Arnold chiari malformation of hydrocephalus and its treatment with VP shunt along with complications. Study Design: Prospective study Place and duration: Department of Neurosurgery, DG Khan Medical College from May 4, 2018 to May 4, 2019. Methodology: Fifty patients of congenital hydrocephalus who were not treated previously were selected. Detailed history about disease and clinical examination of patients was performed. Follow ups were done at neurosurgery OPD. SPSS software for data analysis was used and mean ± SD, frequency and percentages were calculated for variables. P value ≤0.05 was considered as significant. Results: Treatment in case of congenital hydrocephalus as VP shunt, intra-aneurysmal coiling, excision of meningomyelocele with VP shunt and suboccipital craniectomy + upper cervical laminectomy (scucl) were observed as 10%, 6%, 8% and 8% respectively.  Twelve percent of patients were not treated. Conclusion: CT and MRI are the main diagnostic tools for diagnosis of Arnold chiari malformation and VP shunt is the treatment of choice. Among complications of VP shunt infection of shunt and shunt block are the main complications

Isolation and Identification of Native Mikoriza Morphology on The Rhizosphere Gluta rengas L. in Jompie Botanical Garden

Alitta Forest, located in the city of Parepare, South Sulawesi, has an area of 84 ha, a portion of this forest area is functioned as part of a botanical garden. The jompie botanical garden has an area of 13.5 ha, with a collection of plants reaching 90 species originating from 81 plant clans and as many as 77 species that have been identified. In addition to a collection of high-level plants, jompie botanical gardens also have a diversity of microorganisms that have not been identified, especially microorganisms that symbiosis with plant roots known as mycorrhiza, so the purpose of this study is to identify and identify the abundance of mycorrhizal spores in the jompie botanical garden found in rhizosphere Gluta renghas L.. The research began with taking the rhizosphere under the stands of wet trees in the jompie botanical garden, which was then continued to identify and calculate the abundance of spores in the microbiology laboratory of Makassar's research and development environment and forestry. The identification results of mikoiza spores native to the jompie botanical garden show that they are found in two genera, namely; Acalauspora sp consisting of two morphotypes, and the genus Glomus sp consisting of one morphotype, with an average spore abundance of 45.3 per 100 grams rhizospher

Unraveling Forward and Backward Source Problems for a Nonlocal Integrodifferential Equation: A Journey through Operational Calculus for Dzherbashian-Nersesian Operator

This article primarily aims at introducing a novel operational calculus of Mikusi\'nski's type for the Dzherbashian-Nersesian operator. Using this calculus, we are able to derive exact solutions for the forward and backward source problems (BSPs) of a differential equation that features Dzherbashian-Nersesian operator in time and intertwined with nonlocal boundary conditions. The initial condition is expressed in terms of Riemann-Liouville integral (RLI). Solution is presented using Mittag-Leffler type functions (MLTFs). The outcomes related to the existence and uniqueness subject to certain conditions of regularity on the input data are established.Comment: 13 page

DSLOT-NN: Digit-Serial Left-to-Right Neural Network Accelerator

We propose a Digit-Serial Left-tO-righT (DSLOT) arithmetic based processing technique called DSLOT-NN with aim to accelerate inference of the convolution operation in the deep neural networks (DNNs). The proposed work has the ability to assess and terminate the ineffective convolutions which results in massive power and energy savings. The processing engine is comprised of low-latency most-significant-digit-first (MSDF) (also called online) multipliers and adders that processes data from left-to-right, allowing the execution of subsequent operations in digit-pipelined manner. Use of online operators eliminates the need for the development of complex mechanism of identifying the negative activation, as the output with highest weight value is generated first, and the sign of the result can be identified as soon as first non-zero digit is generated. The precision of the online operators can be tuned at run-time, making them extremely useful in situations where accuracy can be compromised for power and energy savings. The proposed design has been implemented on Xilinx Virtex-7 FPGA and is compared with state-of-the-art Stripes on various performance metrics. The results show the proposed design presents power savings, has shorter cycle time, and approximately 50% higher OPS per watt.Comment: Presented at 2023 26th Euromicro Conference on Digital System Design (DSD

Numerical Simulation Model of Multijunction Solar Cell

Multi-junction solar cells play an important and significant role in the Concentrated Photovoltaic (CPV) Systems. Recent developments in Concentrated Photovoltaic concerning high power production and cost effective- ness along with better efficiency are due to the advancements in multi-junction cells. Boeing SpectroLab Inc. has introduced a Multi-junction solar cell employing tunnel junctions which improves efficiency up to 40%. This paper presents a simulation model of the generalized Multi-junction solar cell. The model adopts a mathematical approach in order to simulate and investigate the cell characterization curves including current density and power curves with respect to the applied voltage for different concentration levels and number of junctions and by varying the material properties of the multi-junctions and the tunneling layer. The proposed simulation model simulates the performance characteristics of two different natures of multi-junction solar cells including InGaP/GaAs Dual-junction Solar Cell (DJSC) with tunneling layer of InGaP and InGaP /GaAs/Ge Triple-Junction Solar Cell (TJSC) with tunneling layer of GaAs. Simulation results are presented in this paper which is in agreement with experimental results. Key–Words: Modeling, Multi-junction Solar Cell, Simulation, Tunnel Junctio

ANALISIS LITERATUR TERKINI TENTANG INOVASI MANAJEMEN DALAM EKONOMI DIGITAL: IMPLIKASI DAN TREN GLOBAL

This study aims to identify and analyze current trends in management innovation that have emerged as a response to digital transformation in the global economy. The primary focus is to understand how managerial innovations are adapted to leverage digital technology and how this adaptation impacts organizational performance and business strategies. This research is a literature review, a systematic method for evaluating, synthesizing, and analyzing existing literature on a particular topic. A literature review involves a comprehensive examination of scholarly works, articles, books, and other academic sources to understand the latest developments, trends, and issues related to a specific field of study. The findings indicate that the digital economy involves the integration of information and communication technologies, including the internet, big data, and artificial intelligence, to enhance efficiency and innovation in business processes. This transformation alters traditional business models and creates new opportunities. Digital management innovation includes the adoption of new technologies such as cloud computing and data analytics, as well as structural changes within organizations to improve effectiveness and responsiveness to the market. Current trends include the adoption of cloud-based technologies, the use of big data, and automation with AI, with regional variations in technology adoption and responses to government policies. A deep understanding of both local and global contexts is crucial for tailoring managerial strategies and effectively leveraging technological opportunities

COVID-19 and liver injury: A systematic review and meta-analysis

Background and Aims: The prevalence and extent of liver damage in coronavirus disease 2019 (COVID-19) patients remain poorly understood, primarily due to small-sized epidemiological studies with varying definitions of “liver injury”. We conducted a meta-analysis to derive generalizable, well-powered estimates of liver injury prevalence in COVID-19 patients. We also aimed to assess whether liver injury prevalence is significantly greater than the baseline prevalence of chronic liver disease (CLD). Our secondary aim was to study whether the degree of liver injury was associated with the severity of COVID-19.Materials and Methods: Electronic databases (PubMed and Scopus) were systematically searched in June 2020 for studies reporting the prevalence of baseline CLD and current liver injury in hospitalized COVID-19 patients. Liver injury was defined as an elevation in transaminases \u3e3 times above the upper limit of normal. For the secondary analysis, all studies reporting mean liver enzyme levels in severe versus non-severe COVID-19 patients were included. A random-effects model was used for meta-analysis. Proportions were subjected to arcsine transformation and pooled to derive pooled proportions and corresponding 95% confidence intervals (CIs). Subgroup differences were tested for using the chi-square test and associated p-value. Means and their standard errors were pooled to derive weighted mean differences (WMDs) and corresponding 95% CIs.Results: Electronic search yielded a total of 521 articles. After removal of duplicates and reviewing the full-texts of potential studies, a total of 27 studies met the inclusion criteria. Among a cohort of 8,817 patients, the prevalence of current liver injury was 15.7% (9.5%-23.0%), and this was significantly higher than the proportion of patients with a history of CLD (4.9% [2.2%-8.6%]; p \u3c 0.001). A total of 2,900 patients in our population had severe COVID-19, and 7,184 patients had non-severe COVID-19. Serum ALT (WMD: 7.19 [4.90, 9.48]; p \u3c 0.001; I2 = 69%), AST (WMD: 9.02 [6.89, 11.15]; p \u3c 0.001; I2 = 73%) and bilirubin levels (WMD: 1.78 [0.86, 2.70]; p \u3c 0.001; I2 = 82%) were significantly higher in patients with severe COVID-19 when compared to patients with non-severe disease. Albumin levels were significantly lower in patients with severe COVID-19 (WMD: -4.16 [-5.97, -2.35]; p \u3c 0.001; I2 = 95%).Conclusions: Patients with COVID-19 have a higher than expected prevalence of liver injury, and the extent of the injury is associated with the severity of the disease. Further studies are required to assess whether hepatic damage is caused by the virus, medications, or both

Analisis Nilai Tambah Kopi Luwak Bubuk pada Agroindustri “Buana Putra” di Kabupaten Tanjung Jabung Barat

Penelitian ini bertujuan untuk (1) mengetahui gambaran kegiatan dan proses pengolahan produk dari biji kopi luwak green beans menjadi kopi luwak bubuk (2) mengetahui besarnya nilai tambah yang dihasilkan dari proses pengolahan kopi luwak bubuk (3) menganalisis produktivitas berdasarkan nilai tambah yang dihasilkan dari proses pengolahan kopi luwak bubuk yang dilakukan oleh Agroindustri Buana Putra. Penelitian ini menggunakan data yang dikumpulkan sebanyak empat kali proses produksi. Metode analisis data yang digunakan adalah metode deskriptif kuantitatif dengan menggunakan tabel bantu analisis nilai tambah metode Hayami. Dari perhitungan tersebut akan diketahui besarnya nilai tambah per proses produksi dan keuntungan yang diterima agoindustri. Nilai tambah itu selanjutnya digunakan untuk mengukur produktivitas agroindustri dengan menggunakan rasio-rasio nilai tambah. Hasil penelitian menunjukkan bahwa (1) kegiatan pengolahan kopi luwak green beans pada Agroindustri “Buana Putra” dimulai dari penyortiran, pencucian, penjemuran, penyangraian, pembubukan dan pembungkusan (2) rata-rata nilai tambah yang diperoleh Agroindustri “Buana Putra” untuk setiap Kg bahan baku biji kopi luwak green beans adalah sebesar Rp 96.224,10 per proses produksinya (3) produktivitas Agroindustri “Buana Putra” pada pada periode Mei sampai dengan Juni 2014 relatif tinggi dibandingkan beberapa penelitian sebelumnya yang menggunakan metode yang sama. Hal ini terlihat dari rasio nilai tambah rata-rata per proses produksinya untuk tenaga kerja sebesar Rp 48.112,1, per nilai output sebesar 42,56 %, per biaya tenaga kerja sebesar Rp 5,60 dan rasio keuntungan per nilai tambah sebesar 97,13 %