Textile and Apparel Supply Chain during COVID 19: A Perspective from Bangladesh

The viral COVID-19 outbreak resulted in restricted movement of people and products. It followed one of the biggest recessions in the history of mankind. Apart from all other affected sectors, Textile and Apparel Supply Chain is in the most vulnerable position because of China is, the largest exporter of textile raw materials and was affected the most by the virus. An overall decrease in demand led to a substantial decrease in textile and apparel product manufacturing that ultimately shut down factories and laid off workers in Bangladesh, where four million people are employed in the sector. This paper illustrates the impact COVID-19 has had on the global textile and apparel supply chain, especially in Bangladesh where there has been supply chain disruption renewed working conditions, and changes in employment. Nonetheless there is hope for improvement in textile sectors late on 2020

Analysis of Factors Associated with Boarding TIME in Yellow Zone of Emergency Department at Dr.iskak Tulungagung Hospital

Patient\u27s visits in the emergency room (ER) increase in number in every year. The increasing number of hospital visits is directly associated with the increasing number of patients who come to the emergency department. The increased number of patients resulted in the buildup of patients in the ER, especially in the Yellow Zone and causing the boarding time after the inpatient decision was decided to be longer. The purpose of this study was to analyze the problems related to variables that have a correlation with the boarding time of the patient after the decision of hospitalization is decided in the yellow zone of the emergency department at RSUD dr. Iskak Tulungagung. The method of this research was analytic observational research with cross sectional approach. The number of samples was 78 respondents. The sampling technique used nonprobability sampling. Pearson test and Spearman test were applied to identify the correlation between variables and multivariate linear regression test was used to find out the most dominant factor in influencing patient boarding time after the decision of hospitalization was made. The result of bivariate test showed the correlation between boarding time with room preparation time (p = 0.000), laboratory test results (p = 0.000), diagnostic time (p = 0.000), and ratio between nurse and patient (p = 0.000). Boarding time was not correlated with time of arrival (p = 0.263) and insurance coverage (p = 0.980). Multivariate analysis with linear regression obtained result of constant value (B = 681.212), ratio between nurse and patient (p= 0.000; B = -861.011), bed occupancy time (p= 0.000; B =0.620) and diagnostic time (p=0.022; B = 2.636). The implication of this research is to get a formula that able to shorten patient boarding time after the decision of hospitalization was made and can give a standart time for boarding time

Analisis Faktor-faktor Bauran Pemasaran (7p) yang Mempengaruhi Keputusan Pelaku Usaha UMKM dalam Pemilihan Pengajuan Kredit pada Bank di Daerah Istimewa YOGYAKARTA

This research aimed to test the influence of factors in marketing mix which consist of product, price, place, promotion, people, physical evidence, and process toward the loan selection decision by SME businessmen in Yogyakarta Special Region bank. The sampling method is purposive sampling with 99 respondents. Multiple regression analysis is utilized to test the hypotheses. The testing result shows that there are 2 variables : product and physical evidence, significantly which is positively influence dependent variable. However, price, place, promotion, people, and process do not have significance influence towards dependent variable.   Keywords: SME, product, price, place, promotion, people, physical evidence, process, and marketing mi

The bend stiffness of S-DNA

We formulate and solve a two-state model for the elasticity of nicked, double-stranded DNA that borrows features from both the Worm Like Chain and the Bragg--Zimm model. Our model is computationally simple, and gives an excellent fit to recent experimental data through the entire overstretching transition. The fit gives the first value for the bending stiffness of the overstretched state as about 10 nm*kbt, a value quite different from either B-form or single-stranded DNA.Comment: 7 pages, 1 figur

Cerebral fungal infection with mycotic aneurysm of basilar artery and subarachnoid haemorrhage

A 28-year-old Pakistani man was admitted with unresolved severe headaches for the past four weeks. Magnetic resonance (MR) imaging and MR angiography showed an enhancing mass in the sphenoid sinus, bilateral cerebellar infarcts and aneurysmal dilatation of the basilar artery. The differential diagnosis included fungal infection versus neoplastic lesion. The scrappings taken through the endoscope from the sphenoid sinus were initially negative for fungal infection. However, the second biopsy, done after putting him on antifungal, itraconazole 200 mg twice daily, revealed the presence of a fungal infection (aspergillosis). MR imaging revealed extension of the fungal infection from the sphenoid sinus into the clivus, and then intracranially. Imaging also revealed aneurysmal dilatation of the basilar artery and infarctions in the cerebellum and subarachnoid haemorrhage. Despite aggressive antifungal treatment, the Patient died after 29 days. This case report describes the probable mechanism of fungal mycotic aneurysmal vascular dilatation and growth. It also points to the need for a rapid diagnosis of potential cases and an aggressive treatment approach of confirmed cases of fungal infections of the central nervous system

Exploring the effects of health shocks on antipoverty interventions : experience of poor beneficiary households in Bangladesh

How and whether health shocks impact poverty reduction interventions remains a largely unexplored topic to which not much attention has been paid. This study explored whether and how health shocks affect anti-poverty interventions targeted to extremely poor households using data from 8 focus group discussions and 12 case studies. Those in extremely poor households mostly experienced episodes of chronic disease that incurred greater health-care costs, largely financed by the out-of-pocket payment system. The majority of those from poor households met health-care costs by selling their means of livelihood, borrowing cash, and marketing physical assets. This study argues that livelihood support alone is likely to be insufficient to reduce poverty. Health needs, subsequently, should be prioritized while designing an anti-poverty program

Lake water quality monitoring and prediction: natural attenuation

The Engineering Campus Lake in Universiti Putra Malaysia (UPM) receives urban run-off (non-point source) and treated wastewater (point source). The role of the lake as a natural attenuation plant will be assessed in this study by monitoring and predicting selected water quality parameters. Samples were collected at the inlet and outlet points of the lake and analyzed for physical, chemical and biological parameters from years 2009 to 2013. The results were compared with the standard values indicated in Environmental Quality Act (EQA) and Interim National Water Quality Standards (INWQS) in Malaysia. The average value for each water quality parameter tested in this study was used to classify the lake water. It was observed that several parameters show a high average value when compared to the limit fixed by regulations such as 36.28, 158.74 and 11.28mg/l for BOD, COD and DO, respectively. The removal efficiency of each parameter throughout the study period showed good results with the range value of, above 50%, when considering the lake natural attenuation. At the end, the prediction of each parameter for 3 years period by using trendline and its regression values were determined for future reference

Clustering Data Mahasiswa Menggunakan Metode Self Organizing Maps untuk Menentukan Strategi Promosi Universitas Kanjuruhan Malang

Student academic data is data collected from the results of the teaching and learning activities during studies at a college. Based on data obtained from the database of higher education (PDDIKTI), Kanjuruhan University of Malang on last 2 years the amount of new students decreased. To attract the candidate of students, so the staff analyze from the data history by processing the data.Self Organizing Maps (SOM) is one of the methods in Neural Networks that use learning without direction (unsupervised learning). Input from this research is original data school students based on majors namely MA, SMA, and SMK, while his output was grouped into 2 clusters. This research aims to create a web-based application system in determining the reference promotion strategy, by performing clustering of a number of student data based on the origin of the school ( SMA, SMK & MA ) using SOM clustering algorithm.Keywords : Student Data, Web Applications, Neural Network, Self Organizing Maps (SOM)