2-(2-Methyl­anilino)-N′-(propan-2-yl­idene)acetohydrazide

The conformation of the title compound, C12H17N3O, is consolidated by an intra­molecular N—H⋯O hydrogen bond, generating an S(5) ring. In the crystal, inversion dimers linked by pairs of N—H⋯O inter­actions occur, resulting in R 2 2(8) ring motifs

Spontaneous intracranial hypotension; three case reports with similar clinical manifestations, treated successfully using different management techniques.

Spontaneous Intracranial hypotension (SIH) is a rare neurological disorder, characterized by orthostatic headaches. Due to the complicity of its diagnosis and lack of awareness amongst physicians, SIH remains an under-diagnosed disease and its true prevalence remains unknown. It is a reversible condition, if diagnosed early. Delay in diagnosis can result in life threatening complications.Case Reports:We present a case series of three patients who presented with typical symptoms of SIH. But management course of each patient varied. The first patient responded well to the EBP (epidural blood patch) while the second improved with conventional symptomatic treatment. The third patient needed a surgical intervention for complication developed due to SIH. This case series hence covers a variety of treatment options for patients with SIH.Conclusion:SIH is an emerging challenge for neurologists worldwide. Awareness amongst physicians regarding this disease along with a high level of suspicion and good history skills will allow early diagnosis of the disease and prevent delay in treatment and hence complications

Efficacy and safety of sofosbuvir based antiviral therapy for chronic hepatitis C infection in patients with advanced chronic kidney disease

Background: Screening studies for hepatitis C have proved that it is more prevalent in patients with renal diseases. Chronic hepatitis C infection in patients with kidney disease not only accelerates renal deterioration but also adversely effects morbidity and mortality. Availability of direct acting antiviral drugs has revolutionized treatment of hepatitis C even in difficult patients. In advanced kidney diseases, selection of treatment is difficult. Aim of this study was to evaluate the efficacy and safety of Sofosbuvir based DAAs in patients with advanced CKD.Methods: In this Quasi experimental study, CHC patients with or without cirrhosis having advance CKD (eGFR <30 ml/min per 1.73 m2) and/or on dialysis were enrolled. End points of the study were documentation of SVR 12 or discontinuation of therapy. Different regimens of oral DAAs with or without Ribavirin were used.Results: 86 patients with a median age of 53 years were enrolled. 37 patients were on maintenance dialysis and 49 were not on dialysis with eGFR <30 ml/min per 1.73 m2. Virological response was 92.68% at the end of treatment and SVR was achieved by 90.2% twelve weeks after therapy. Insomnia 14%, headache 11% and anemia 7% were main dverse effects. Mean eGFR and creatinine before and after treatment remained the same. Only 2 patients relapsed, both were on dialysis thrice weekly.Conclusions: All Sofosbuvir based regimens used for the treatment of CHC in patients with end stage renal disease are effective and well tolerated. Close follow up is advised to monitor side effects

Application Potentials of Plant Growth Promoting Rhizobacteria and Fungi as an Alternative to Conventional Weed Control Methods

Weeds are the plants usually grown on unwanted places and are notorious for causing interruptions in agricultural settings. Remarkable yield losses have been reported in fields infested with weeds worldwide. So far, these weeds cause about 34% of losses to yields of major agricultural crops and pose threats to economic condition of the farmers. Conventionally, weed control was achieved by the use of chemical herbicides and traditional agronomic practices. But these methods are no more sustainable as the magnitude of threats imposed by these conventionally outdated methods such as chemical herbicides is greater than the benefits achieved and their continuous use has disturbed biodiversity and weed ecology along with herbicide resistance in some weeds. Herbicide residues are held responsible for human health hazards as well. Therefore the future of weed control is to rely on alternative approaches which may be biological agents such as bacteria and fungi. This chapter highlights the potentials of using bacterial and fungal biocontrol agents against weeds in farmer fields. Moreover, detailed review on merits and demerits of conventional weed control methods is discussed in this chapter

RFID-Based Automated Shared Drop Box for Laundry Business: A Process Model

Collection and delivery of laundry is an important process in the laundry business. The laundry businesses have adopted diverse models such as over the counter collection/delivery, online booking etc. The laundries are collected or delivered from customers’ doorstep or from customers’ desired location at a convenient time. In this paper, business process re-engineering concept has been incorporated to improve the collection and delivery process of laundry using RFID (Radio-Frequency Identification) tagging and Automated Laundry Collection Drop Box. The Devil’s Quadrangle has been used as a tool for evaluation. The proposed model will result in reduction in cost, time and improvement in service quality. It ultimately results in customers’ loyalty, economic efficiency and gain of a competitive advantage over competitor. Other advantages for laundry business include automatic collection and delivery, enhanced customer convenience, enhanced flexibility and industry economic savings, enhanced customer satisfaction and decreased labor work. In the proposed automated laundry collection model, reputed laundry businesses will make a consortium and outsource collection and delivery process to a courier company. Different collection and delivery options are proposed in the model

Drinking… Sartaj Ali et al. 568

Abstract: Water and life are two sides of the same coin, since water sustains all life processes. The quality of water is of vital concern for mankind since it is directly linked with human health and environmental protection. Due to its outstanding significance to the consumer its parameters must follow the permissible limits set by international water regulating agencies. The present study was therefore undertaken to assess the quality of drinking water in some villages of Nagar valley. Some physical, biological and chemical parameters were examined from tap, channel and tank water. Among the tested characteristics, temperature values fluctuated between 12.10-13.50 °C, electric conductivity values ranged from 199.10-588.00µs/cm, turbidity values differed from 0.20-0.38 NTU, pH values varied between 7.00-7.93, total alkalinity values ranged between 57.00-102.33 mg/l, total dissolved solids ranged from 118-357 mg/l, calcium hardness contents fluctuated between 4.66-16.66 mg/l,cynuric acid level varied between 35.33-52 mg/l. Similarly, total coliform count ranged from 47.25-54.00 cfu/ml while the investigated samples were free from faecal contamination. All the inspected characteristics were within the approved standards set by WHO and EPA

Projected Changes in Climate Extremes Using CMIP6 Simulations Over SREX Regions

This paper presents projected changes in extreme temperature and precipitation events by using Coupled Model Intercomparison Project phase 6 (CMIP6) data for mid-century (2036–2065) and end-century (2070–2099) periods with respect to the reference period (1985–2014). Four indices namely, Annual maximum of maximum temperature (TXx), Extreme heat wave days frequency (HWFI), Annual maximum consecutive 5-day precipitation (RX5day), and Consecutive Dry Days (CDD) were investigated under four socioeconomic scenarios (SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5) over the entire globe and its 26 Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate ChangeAdaptation (SREX) regions. The projections show an increase in intensity and frequency of hot temperature and precipitation extremes over land. The intensity of the hottest days (as measured by TXx) is projected to increase more in extratropical regions than in the tropics, while the frequency of extremely hot days (as measured by HWFI) is projected to increase more in the tropics. Drought frequency (as measured by CDD) is projected to increase more over Brazil, the Mediterranean, South Africa, and Australia. Meanwhile, the Asian monsoon regions (i.e., South Asia, East Asia, and Southeast Asia) become more prone to extreme flash flooding events later in the twenty-first century as shown by the higher RX5day index projections. The projected changes in extremes reveal large spatial variability within each SREX region. The spatial variability of the studied extreme events increases with increasing greenhouse gas concentration (GHG) and is higher at the end of the twenty-first century. The projected change in the extremes and the pattern of their spatial variability is minimum under the low-emission scenario SSP1-2.6. Our results indicate that an increased concentration of GHG leads to substantial increases in the extremes and their intensities. Hence, limiting ­CO2 emissions could substantially limit the risks associated with increases in extreme events in the twenty-first century

Skill assessment of Saudi-KAU and C3S models in prediction of spring season rainfall over the Arabian Peninsula

A skillful prediction of precipitation has great value, particularly for regions that suffer from water stress. In this study, we assess the potential predictability and skill of the Copernicus Climate Change Service (C3S) and SaudiKAU models in their simulation of precipitation over the Arabian Peninsula during spring (March–May) for the period 1993–2016. For this purpose, data from individual models as well as the multi-model ensemble (MME) is used. The prediction data for MAM precipitation initialized at Feb (Lead 1), Jan (Lead 2), and Dec (Lead 3), were obtained from the 5 C3S and Saudi-KAU coupled global climate model. The potential predictability was computed by evaluating the signal to noise ratio and the theoretical limit of correlation skill, while the prediction skill was estimated from the temporal anomaly correlation co-efficient. The results show that the Saudi-KAU, CMCC, and UKMO models have slightly higher potential predictability of about 0.25, 0.35, and 0.25 respec­ tively, as compared to other models. It is also observed that individual models as well as their MME show a high (low) potential predictability over southwestern (northern) regions of the Peninsula. Moreover, the Saudi-KAU, CMCC, and MME show a reasonably good correlation skill (0.68, 0.59, and 0.57) while the SEAS model displays lower skill (0.14) for spring precipitation. All model simulations reveal a decrease in prediction skill for longer lead times. On the other hand, the individual models and their MME successfully reproduced the Pacific (i.e. ENSO) teleconnection patterns while displaying lower skill over the tropical Atlantic Ocean. The results indicate that the model biases have negative impacts on potential predictability and prediction skill over the Arabian Peninsula during the spring season

Projected Drought Conditions over Southern Slope of the Central Himalaya Using CMIP6 Models

Nepal is located on the southern slope of the Central Himalayas and has experienced frequent droughts in the past. In this study, we used an ensemble of 13 biased corrected models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to assess the future drought conditions over Nepal under three shared socioeconomic pathways (SSP126, SSP245, and SSP585) using the Standardized Precipitation Evapotranspiration Index (SPEI) at annual timescale. The monthly correlation between observed and CMIP6-simulated historical SPEI is 0.23 (p < 0.01), which indicates the CMIP6 model ensemble can simulate the drought characteristics over Nepal. In the future period (2020–2100), the duration and severity of droughts are projected to increase with higher emission scenarios, especially for SSP585. Our results indicate enhanced drought intensity under SSP126, whereas, under SSP245, the drought frequency will be slightly higher. The drought frequency is projected to increase in the early future (2020–2060), decreasing in the late future (2061–2100) under all SSP scenarios. The results further indicate more prolonged and severe droughts in the early future under SSP585 as compared to SSP126 and SSP245. The findings of the present study can help drought mitigation as well as long-term adaptation strategies over Nepal

Projected changes in temperature and precipitation over the United States, Central America and the Caribbean in CMIP6 GCMs

The Coupled Model Intercomparison Project Phase 6 (CMIP6) dataset is used to examine projected changes in temperature and precipitation over the United States (U.S.), Central America and the Caribbean. The changes are computed using an ensemble of 31 models for three future time slices (2021–2040, 2041–2060, and 2080–2099) relative to the reference period (1995–2014) under three Shared Socioeconomic Pathways (SSPs; SSP1-2.6, SSP2-4.5, and SSP5-8.5). The CMIP6 ensemble reproduces the observed annual cycle and distribution of mean annual temperature and precipitation with biases between − 0.93 and 1.27 °C and − 37.90 to 58.45%, respectively, for most of the region. However, modeled precipitation is too large over the western and Midwestern U.S. during winter and spring and over the North American monsoon region in summer, while too small over southern Central America. Temperature is projected to increase over the entire domain under all three SSPs, by as much as 6 °C under SSP5-8.5, and with more pronounced increases in the northern latitudes over the regions that receive snow in the present climate. Annual precipitation projections for the end of the twenty-frst century have more uncertainty, as expected, and exhibit a meridional dipole-like pattern, with precipitation increasing by 10–30% over much of the U.S. and decreasing by 10–40% over Central America and the Caribbean, especially over the monsoon region. Seasonally, precipitation over the eastern and central subregions is projected to increase during winter and spring and decrease during summer and autumn. Over the monsoon region and Central America, precipitation is projected to decrease in all seasons except autumn. The analysis was repeated on a subset of 9 models with the best performance in the reference period; however, no signifcant diference was found, suggesting that model bias is not strongly infuencing the projections.Universidad de Costa Rica/[805-B9-454]/UCR/Costa RicaNational Science Foundation/[AGS-1849654]/NSF/Estados UnidosNational Science Foundation/[AGS-1623912]/NSF/Estados UnidosDepartment of Energy/[2316‐T849‐08]/DOE/Estados UnidosNational Oceanic and Atmospheric Administration/[2316‐T849‐08]/NOAA/Estados UnidosUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI)UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigación en Ciencias del Mar y Limnología (CIMAR