scholarly journals Adoption of a multiple use water system (MUWS) to ensure water security for Nepalese hill farmers

Water Policy ◽  
2021 ◽  
Author(s):  
Nani Raut ◽  
Aashna Shakya ◽  
Smriti Gurung ◽  
Bed Mani Dahal
Keyword(s):  
Regression Model ◽  
Tap Water ◽  
Storage System ◽  
National Level ◽  
Water System ◽  
Water Security ◽  
Water Volume ◽  
Vegetable Production ◽  
Multiple Use ◽  
Binary Logistic Regression Model

Abstract Multiple use water system (MUWS) is an approach to water services planning and design of new and rehabilitated systems. It is informed by input on people's multiple water uses, reuses, and needs at their preferred sites within communities. Although MUWS has been implemented in different parts of Nepal to address water security, the motivating factors in adoption of MUWS have not been previously clear. To better understand farmers' interests, the socio-economic context, and severity of water scarcity problems, we analyzed determinant factors in adoption of MUWS related to the extent of area under vegetable production in Annapurna rural municipality of Kaski district. We surveyed 150 households and conducted eight key informant interviews. A binary logistic regression model showed that five variables, namely: households sharing a tap, water tariff, water volume used, availability of a water storage system, and water sufficiency during the dry season have significant positive influences on the adoption of MUWS. In contrast, two variables, namely: caste and access to water have significant negative influences on the adoption behavior of farmers. Likewise, the linear regression model showed agricultural crops grown, total landholdings, and water quality influenced the extent of vegetable production. Thus the socio-economic condition, access to resources and the institution affect the adoption behavior of farmers. Agriculture policy intervention at provincial/national level should highlight the importance of adoption of MUWS and its benefit in terms of securing water, economy and food in a changing climate.

Fatigue in Patients With Multiple System Atrophy

Neurology ◽  
2021 ◽  
Vol 98 (1) ◽  
pp. e73-e82
Author(s):  
Lingyu Zhang ◽  
Bei Cao ◽  
Yanbing Hou ◽  
Xiaojing Gu ◽  
Qian-Qian Wei ◽  
...  
Keyword(s):  
Multiple System Atrophy ◽  
Regression Model ◽  
Rating Scale ◽  
Early Stage ◽  
Progression Rate ◽  
Nonmotor Symptoms ◽  
Binary Logistic Regression Model ◽  
Neurofilament Light Chain ◽  
Neurofilament Light

Background and ObjectivesNonmotor symptoms are common in patients with multiple system atrophy (MSA), but there is limited knowledge regarding fatigue in MSA. This study aimed to investigate the frequency and evolution of fatigue and the factors related to fatigue and its progression in patients with MSA at an early stage.MethodsPatients with probable MSA were comprehensively evaluated at both baseline and the 1-year follow-up, including their motor and nonmotor symptoms. Fatigue and anxiety were assessed using the Fatigue Severity Scale (FSS) and Hamilton Anxiety Rating Scale (HARS), respectively. Orthostatic hypotension (OH) was defined as a decrease in the systolic or diastolic blood pressure by at least 30 and 15 mm Hg, respectively. The binary logistic regression model and linear regression model were used to analyze the factors related to fatigue and its progression, respectively.ResultsThis study enrolled 146 patients with MSA. The frequency of fatigue was 60.3%, 55.1%, and 64.9% in MSA, MSA with predominant parkinsonism (MSA-P), and MSA with predominant cerebellar ataxia (MSA-C), respectively. The frequency of fatigue and the FSS score in patients with MSA increased from baseline to the 1-year follow-up (p < 0.05). Young age (odds ratio [OR] 0.939, 95% confidence interval [CI] 0.894–0.987), OH (OR 2.806, 95% CI 1.253–6.286), and high HARS score (OR 1.014, 95% CI 1.035–1.177) were associated with fatigue in MSA. OH was associated with fatigue in MSA-P (OR 3.391, 95% CI 1.066–10.788), while high HARS score was associated with fatigue in MSA-C (OR 1.159, 95% CI 1.043–1.287). In addition, only low FSS scores at baseline were associated with the annual progression rate of FSS scores in MSA, MSA-P, and MSA-C (p < 0.05). Neurofilament light chain, α-synuclein, glial fibrillary acidic protein, brain-derived neurotrophic factor, and triggering receptor expressed on myeloid cell-2 were not significantly associated with fatigue and its progression in MSA.DiscussionFatigue was prevalent in early-stage MSA, and it increased and remained persistent over time. This study demonstrated that OH and anxiety were associated with fatigue in patients with MSA.

Deciphering Links Between Sexual Violence and Castes in India

2021 ◽  
pp. 2455328X2110325
Author(s):  
Yogendra Musahar
Keyword(s):  
Regression Model ◽  
Sexual Violence ◽  
Economic Status ◽  
Family Health ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Wealth Index ◽  
Bivariate Analysis ◽  
Binary Logistic Regression Model ◽  
Explanatory Variables

The recent incident, the gang rape and murder of a 19-year-old woman in Hathras, a small village in Uttar Pradesh of India, once again sparks a debate on links between sexual violence and castes in India. This article aims to examine the links between sexual violence and castes in India. This study utilizes the national representative National Family Health Survey 4 (NFHS-4, 2015–16) data. A bivariate analysis was carried out to analyse the data. A binary logistic regression model was applied to predict the effect of explanatory variables, viz. type of place of residence, years of schooling complete, economic status in terms of wealth index and finally castes on predicted variable, i.e. sexual violence. The binary regression model indicates that there were links between sexual violence and castes. For secured and dignified life of women, caste-based sexual violence must be annihilated.

scholarly journals Usaha Ternak Domba sebagai Jalur Keluar dari Kemiskinan Buruh Tani di Perdesaan

2020 ◽  
Vol 7 (3) ◽  
pp. 189
Author(s):  
Sondi Kuswaryan ◽  
Cecep Firmansyah ◽  
Muhammad Hasan Hadiana
Keyword(s):  
Regression Model ◽  
Poverty Alleviation ◽  
Binary Logistic Regression ◽  
Farm Labor ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Poor Households ◽  
Simple Regression Model ◽  
Poverty Status ◽  
Household Members

ABSTRAKPenelitian ini bertujuan untuk mengevaluasi kemungkinan usaha ternak domba sebagai aktivitas nafkah untuk pengentasan kemiskinan, serta menentukan jumlah kepemilikan domba yang dapat  membawa rumah tangga buruh tani keluar dari kemiskinan. Survey telah dilakukan di Desa Walangsari Kecamatan Kalapanunggal Kabupaten Sukabumi, melibatkan rumah tangga buruh tani miskin sebanyak 65 orang dan 22 orang tidak miskin. Faktor yang berpengaruh terhadap kemiskinan dianalisis menggunakan model regresi logistik biner, sedangkan jumlah kepemilikan domba yang harus dipelihara untuk keluar dari kemiskinan ditentukan dengan model regresi sederhana. Hasil penelitian menunjukkan bahwa usia kepala keluarga, dan pengalaman beternak tidak mempengaruhi kemiskinan, sedangkan jumlah kepemilikan domba, jumlah anggota rumah tangga, keterlibatan dalam kelembagaan, serta sumber pendapatan dari non pertanian mempengaruhi status kemiskinan rumah tangga buruh tani. Pada rata-rata jumlah anggota rumah tangga sebanyak 4,45 orang,untuk keluar dari kemiskinan buruh tani harus memelihara minimal sebanyak 36,63 ekor domba per rumah tangga. Hasil penelitian ini menegaskan bahwa usaha ternak domba dapat digunakan sebagai sarana untuk pengentasan kemiskinan buruh tani, program pengentasan kemiskinan akan efektif bila melibatkan kelembagaan lokal.Kata Kunci: buruh tani, jumlah kepemilikan domba, kemiskinanABSTRACTThis study aims to determine the possibility of sheep farming as a livelihood activity for poverty alleviation and to determine the amount of sheep ownership that can bring farm laborers households out of poverty. Survey research has been carried out in Walangsari Village, Kalapanunggal District, Sukabumi Regency, involving 65 poor farmer households and 22 non-poor households. Factors affecting poverty were analyzed using a binary logistic regression model, while the number of sheep ownership needed to escape poverty was determined by a simple regression model. The results showed that the age of the head of the family, and experience of sheep farmers did not affect poverty, while the number of sheep ownership, number of household members, involvement in institutions, and sources of income from non-agriculture affected the poverty status of farm laborers' households. In the average number of household members as many as 4.45 people, to get out of poverty must maintain a minimum of 36.63 sheep per household. This research explains that sheep farming can be used as a means to reduce the poverty of farm laborers, and poverty alleviation programs will be effective if they involve local institutions.Keywords: farm labor, number of sheep ownership, poverty

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PEROLEHAN KREDIT OLEH PENGUSAHA MIKRO

2018 ◽  
Vol 4 (3) ◽  
Author(s):  
Abdul Azis Safii ◽  
Tri Suwarno
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Large Scale ◽  
Logistic Regression Model ◽  
Banking Sector ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Access To Credit ◽  
The Poor ◽  
Micro Enterprises

Abstract: The number of micro-entrepreneurs and the dominant number of micro enterprises compared to medium and large-scale enterprises in Indonesia are not balanced by the provision of access to credit and venture capital for micro businesses. This resulted in a micro-sector sector identical to the poor being vulnerable to exploitation by moneylenders who exploit the difficulties of micro entrepreneurs accessing credit from the banking sector. This study examines the factors that determine the accessibility of credit by micro entrepreneur in Bojonegoro regency. A total sum of 270 micro entrepreneurs who have applied for banking loan were sampled from the study area. With an binary logistic regression model the research resulting that education, skill on entrepreneur, and monthly net profits generated by the microenterprise are significant in determining the accessibility of microcredit. Keywords: micro entrepreneur, microcredit, credit accessibility Abstrak: Perkembangan jumlah pengusaha mikro serta dominannya jumlah usaha mikro dibandingkan dengan usaha menengah dan usaha besar di Indonesia, tidak diimbingi dengan penyediaan akses kredit dan modal usaha bagi para pelaku usaha mikro. Hal tersebut mengakibatkan sektor usaha mikro yang identik dengan masyarakat miskin rentan dieksploitasi oleh rentenir yang memanfaatkan sulitnya para pengusaha mikro mengakses kredit dari sektor perbankan. Penelitian ini menggunakan data primer yang di ambil langsung dari pengusaha mikro dengan teknik kuesioner. Analisis data dengan metode binary logistic regression mendapatkan hasil variabel yang berpengaruh signifikan terhadap akses kredit para pengusaha mikro adalah variabel usia pengusaha, laba bersih usaha tiap bulan, dan jumlah karyawan yang di pekerjakan. Kata kunci : usaha mikro, microcredit, akses kredit

scholarly journals ESTIMATION OF THE BINARY LOGISTIC REGRESSION MODEL PARAMETER USING BOOTSTRAP RE-SAMPLING

2018 ◽  
Vol 48 (3) ◽  
pp. 199-204 ◽  
Author(s):  
R. LI ◽  
J. ZHOU ◽  
L. WANG
Keyword(s):  
Logistic Regression ◽  
Parameter Estimation ◽  
Maximum Likelihood ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Parametric Bootstrap ◽  
Binary Logistic Regression Model ◽  
Bayesian Bootstrap ◽  
Non Parametric

In this paper, the non-parametric bootstrap and non-parametric Bayesian bootstrap methods are applied for parameter estimation in the binary logistic regression model. A real data study and a simulation study are conducted to compare the Nonparametric bootstrap, Non-parametric Bayesian bootstrap and the maximum likelihood methods. Study results shows that three methods are all effective ways for parameter estimation in the binary logistic regression model. In small sample case, the non-parametric Bayesian bootstrap method performs relatively better than the non-parametric bootstrap and the maximum likelihood method for parameter estimation in the binary logistic regression model.

Die Flexion der Indefinita jemand und niemand

2021 ◽  
Vol 49 (2) ◽  
pp. 209-243
Author(s):  
Linnéa Weitkamp
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Influencing Factors ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Corpus Study ◽  
Frequent Use ◽  
Current Variation ◽  
Reference Corpus

Abstract This article investigates the inflection of the German indefinite pronouns jemand and niemand in the accusative and dative. The pronouns are used both with inflectional suffix (jemanden/jemandem, niemanden/niemandem) and without (jemand, niemand) and are thus an example of current variation in contemporary German. The grammars take an unusually liberal stance and describe both forms as correct, partially even with preference to the uninflected form. A corpus study which examines conceptually written data of the DeReKo (German reference corpus) and conceptually oral data of the DECOW16B (German web corpus), shows that over 90 % of occurrences are inflected. But almost 10 % of uninflected forms show that these formations are no arbitrary errors either. To find out what influences the presence or absence of the inflectional ending, a binary logistic regression model was calculated. The following factors proved to be significant influencing factors for inflection: the degree of formality (DeReKo vs. DECOW16B), the lexeme (jemand vs. niemand), the case (acc vs. dat), government by preposition vs. government by verb and the following nominalized adjective (jemand anderen). With regard to the different inflectional suffixes, the frequent use of -en in the dative stood out in particular. Although this form is classified as erroneous in all grammars, almost 30 % of the dative occurrences in informal DECOW16B data are formed in this way.

PERENCANAAN PEMANFAATAN SISTEM PEMANENAN AIR HUJAN (PAH) DALAM MENDUKUNG PENERAPAN ECODRAIN DI KAMPUS B UNIVERSITAS NEGERI JAKARTA

2021 ◽  
Vol 16 (1) ◽  
pp. 18-25
Author(s):  
Fauziah Ismahyanti ◽  
Rosmawita Saleh ◽  
Arris Maulana
Keyword(s):  
Water Balance ◽  
Water Supply ◽  
Rainwater Harvesting ◽  
Water System ◽  
Water Source ◽  
Office Building ◽  
Water Volume ◽  
Water Balance Method ◽  
Rainwater Runoff ◽  
Alternative Water

This research is done to plan rainwater harvesting so that it can be used as an alternative water source on the campus B UNJ so it is expected to reduce groundwater use that can cause a puddle. The method used in the PAH development plan is a water balance method. This method compares the level of demand with water volume that can be accommodated or the availability of water (supply). Based on the results of the analysis, it was found that the potential for rainwater in the FIO office building A was 1773.95 m3 , FMIPA building B was 1904.62 m3 , the FIO lecture building C was 1613.21 m3 and the Ulul Albab mosque was 512.16 m3 . Potential rainwater obtained cistern PAH capacity of 200 m3 by saving water needs by 30% in building A FIO, building B FMIPA, and building C FIO. The capacity of the PAH cistern is 80 m3 by saving the water needs of the Ulul Albab mosque by 13.3%. Placement of the PAH cistern under the ground with a ground water system. Ecodrainage application by utilizing the PAH system can reduce drainage load by 0.158 m3 /second or 13.9% from rainwater runoff.

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