Livelihood Assets and Income Generating Activities: A Comparative Analysis in the Scheduled and Non-Scheduled Areas of Jharkhand

The main objective of the article is to identify different types of livelihood assets, income generating activities (IGAs) and choices of these activities by households across social groups in the Fifth and non-Fifth Scheduled areas of Jharkhand in eastern India. It is based on a primary survey of 785 households randomly selected across caste and Scheduled Tribe groups in Giridih and Latehar districts of Jharkhand. K-means clustering is applied for determination of latent class activity clusters and Multinomial Logistic Regression (MLR) model used for understanding the importance of livelihood assets in determining livelihood activity cluster (LC) for income generation. Further, discriminant analysis is applied to obtain probability of choice of individual households in determining livelihood generating activity. The analysis shows that forest-based activity remains a better livelihood support system in the Fifth Scheduled areas, which is less significant and further diminishing in the non-Fifth Scheduled areas. Rural households engaged in a diverse set of IGAs to obtain additional income to reduce risk and maintain a balanced consumption. Occupational transition is marked by the decline of agriculture and increasing reliance on daily-wage activities as the primary source of income. Other traditional livelihood activities such as animal husbandry and the collection of forest produce have less scope for income in the absence of institutional support.

COMMON AND DISTINCT MUSCLE SYNERGIES DURING LEVEL AND SLOPE LOCOMOTION IN THE CAT

Although it is well established that the motor control system is modular, the organization of muscle synergies during locomotion and their change with ground slope are not completely understood. For example, typical reciprocal flexor-extensor muscle synergies of level walking in cats break down in downslope: one-joint hip extensors are silent throughout the stride cycle, whereas hindlimb flexors demonstrate an additional stance phase-related EMG burst (Smith et al. 1998a). Here we investigated muscle synergies during Level, Upslope (27o) and Downslope (-27o) walking in adult cats to examine common and distinct features of modular organization of locomotor EMG activity. Cluster analysis of EMG burst onset-offset times of 12 hindlimb muscles revealed 5 flexor and extensor burst groups that were generally shared across slopes. Stance-related bursts of flexor muscles in downslope were placed in a burst group from Level and Upslope walking formed by the rectus femoris. Walking Upslope changed swing/stance phase durations of Level walking but not the cycle duration. Five muscle synergies computed using non-negative matrix factorization accounted for at least 95% of variance in EMG patterns in each slope. Five synergies were shared between Level and Upslope walking, whereas only 3 of those were shared with Downslope synergies; these synergies were active during the swing phase and phase transitions. Two stance-related synergies of downslope walking were distinct; they comprised a mixture of flexors and extensors. We suggest that the modular organization of muscle activity during Level and Slope walking results from interactions between motion-related sensory feedback, CPG, and supraspinal inputs.

Epidemiologic and clinical characteristics of 91 hospitalized patients with COVID-19 in Zhejiang, China: a retrospective, multi-centre case series

Background Recent studies have focused on initial clinical and epidemiological characteristics of the coronavirus disease 2019 (COVID-19), which is the mainly revealing situation in Wuhan, Hubei. Aim This study aims to reveal more data on the epidemiological and clinical characteristics of COVID-19 patients outside of Wuhan, Zhejiang, China. Design This study was a retrospective case series. Methods Eighty-eight cases of laboratory-confirmed and three cases of clinically confirmed COVID-19 were admitted to five hospitals in Zhejiang province, China. Data were collected from 20 January 2020 to 11 February 2020. Results and discussion Of all 91 patients, 88 (96.70%) were laboratory-confirmed COVID-19 with throat swab samples that tested positive for SARS-Cov-2, three (3.30%) cases were clinically diagnosed. The median age of the patients was 50 (36.5–57) years, and female accounted for 59.34%. In this sample, 40 (43.96%) patients had contracted the disease from local cases, 31 (34.07%) patients had been to Wuhan/Hubei, eight (8.79%) patients had contacted with people from Wuhan, and 11 (12.09%) patients were diagnosed after having flown together in the same flight with no passenger that could later be identified as the source of infection. In particular within the city of Ningbo, 60.52% cases can be traced back to an event held in a temple. The most common symptoms were fever (71.43%), cough (60.44%) and fatigue (43.96%). The median of incubation period was 6 (interquartile range 3–8) days and the median time from the first visit to a doctor to the confirmed diagnosis was 1 (1–2) days. According to the chest computed tomography scans, 67.03% cases had bilateral pneumonia. Conclusions Social activity cluster, family cluster and flying alongside with persons already infected with COVID-19 were how people got infected with COVID-19 in Zhejiang.

Epidemiologic and Clinical Characteristics of 91 Hospitalized Patients with COVID-19 in Zhejiang, China: A retrospective, multi-centre case series

SummaryBackgroundRecent studies have focused initial clinical and Epidemiologic characteristics on the COVID-19, mainly revealing situation in Wuhan, Hubei.AimTo reveal more data on the epidemiologic and clinical characteristics of COVID-19 patients outside of Wuhan, in Zhejiang, China.DesignRetrospective case series.Methods88 cases of laboratory-confirmed and 3 cases of clinical-confirmed COVID-19 were admitted to five hospitals in Zhejiang province, China. Data were collected from 20 January 2020 to 11 February 2020.ResultsOf all 91 patients, 88 (96.70%) were laboratory-confirmed COVID-19 with throat swab samples that tested positive for SARS-Cov-2 while 3 (3.30%) were clinical-diagnosed COVID-19 cases. The median age of the patients was 50 (36.5-57) years, and female accounted for 59.34%. In this sample 40 (43.96%) patients had contracted the diseases from local cases, 31 (34.07%) patients had been to Wuhan/Hubei, 8 (8.79%) cases had contacted with people from Wuhan, 11 (12.09%) cases were confirmed aircraft transmission. In particular within the city of Ningbo, 60.52% cases can be traced back to an event held in a temple. The most common symptoms were fever (71.43%), cough (60.44%) and fatigue (43.96%). The median of incubation period was 6 (IQR, 3-8) days and the median time from first visit to a doctor to confirmed diagnosis was 1 (1-2) days. According to the Chest computed tomography scans, 67.03% cases had bilateral pneumonia.ConclusionsSocial activity cluster, family cluster and travel by airplane were how COVID-19 patients get transmitted and could be rapidly diagnosed COVID-19 in Zhejiang.

Mood versus energy/activity symptoms in bipolar disorder: which cluster of Hamilton Depression Rating Scale better distinguishes between mania, depression, and euthymia?

Introduction Although bipolar disorder (BD) is traditionally included among mood disorders, some authors believe that changes in energy and motor activity, rather than mood changes, represent the true cardinal symptoms in mania and depression. The aim of the current study was to identify which cluster of the Hamilton Depression Rating Scale (HAM-D) better distinguishes between mania, depression and euthymia. Method A group of 106 patients with BD were followed for 13 years and repeatedly assessed with the HAM-D as well as with other clinical scales. To perform a comparison, HAM-D items were classified according to clinical criteria into three clusters: energy/activity symptoms, mood symptoms, and other symptoms. Item response theory (IRT) analyses were performed to provide a test information curve for those three clusters. We measured the prevalence of one cluster of symptoms over the other two throughout the latent trait. Results Considering HAM-D items individually, the IRT analysis revealed that there was a mixture of mood and energy/activity symptoms among the most discriminative items, both in depression and in euthymia. However, in mania, only energy/activity symptoms – i.e., general somatic symptoms and retardation – were among the most informative items. Considering the classification of items, both in depression as in mania, the energy/activity cluster was more informative than the mood cluster according to the IRT analysis. Conclusion Our data reinforce the view of hyperactivity and motor retardation as cardinal changes of mania and depression, respectively.

CLUSTER ENTERPRISES AS INTERACTIVE FORM FOR IMPLEMENTATION OF BUSINESS IDEAS WITH SOCIALLY IMPORTANT POPULATION REPRESENTATIONS

Introduction. The article clarifies that the problem of creating conditions for the entrepreneurial activity of socially vulnerable sections of the population is now becoming particularly relevant. Possibilities to reach a certain level of entrepreneurship development on the basis of a cluster organization show that the internal contradictions of the entrepreneurial process and the increased risk for its participants – socially vulnerable segments of the population are twice reflected in the behavior and activity of the latter. Therefore, the development of a new approach to activating and obtaining entrepreneurial skills allows us to formulate this new way of raising our standard of living.The hypothesis of scientific research is to determine the attractiveness of cluster entrepreneurship for socially vulnerable populations. The use of this form of entrepreneurship allows us to derive undeniable advantages of entrepreneurial activity, to define one of the most appropriate models of cluster business realization: "pushing", "pulling" or mixing.The purpose of the study is to substantiate the most appropriate model of cluster entrepreneurship for socially vulnerable groups of the population and to determine the specifics of its application.The theoretical and methodical basis – the position and conclusions of modern economic theory, methodological and methodological developments of domestic and foreign scientists on cluster entrepreneurship issues, legislative acts and institutional principles of entrepreneurial activity. Methods of economic statistics, logical analysis – to determine the factors of influence on the dynamics of entrepreneurial activity, cluster and regression analysis – to determine the most optimal models of cluster business of socially vulnerable segments of the population.Results. The scientific-methodical approach of determination of the most optimal models of entrepreneurship development on the basis of cluster organization of socially vulnerable groups of population is proposed.Conclusions. The research of the conceptual aspects of cluster entrepreneurship has made it possible to find out the theoretical understanding of the features of this toolkit and to identify the possibilities of its use for activating the entrepreneurial activity of socially vulnerable groups of the population.

Searching for a link between Ki-67 values and HER2 absence in 297 patients with triple-negative breast cancer.

e12551 Background: Based on the report that in ER- invasive breast cancer (IBC) patients, the absence of HER2 might be linked to their Ki-67 values ( Kurbel et al. BMC Cancer 2017;17:231), this relation was searched in 297 consecutive IBC patients with triple negative tumors, treated at two Croatian hospitals. Methods: All 297 patients had ER and PgR negative IBC, The HER2 expression was IHC absent in 211 pts.; IHC 1+ in 62 pts.: IHC 2+ & ISH negative in 24 pts. Based on the cited reference that the Expectation maximization clustering (EM) of the pooled IBC Ki-67 values detects three clusters, regardless of the tumor type, the same approach was used. Differences in the distribution of HER2 values were tested by the χ2 test. Results: Three EM clusters were detected among the pooled Ki67 values: LMA (low mitotic activity) cluster: 109 cases with Ki-67 < 44%; IMA (intermediate mitotic activity) cluster: 96 cases, Ki-67 from 44 to 70% and HMA (high mitotic activity) cluster: 92 cases, Ki-67 > 70%. Beside the Ki-67, distribution of HER2 values was dependent on the age (Chi-square: 25.0309, df = 12, p = 0.014677), as shown here: In patients younger than 46, the HMA cluster was 32% larger than expected. Out of 29 HMA pts, 24 had HER2 absent tumors (53% more than expected). In patients aged 46 to 55, the IMA cluster was 27% larger than expected and out of 30 IMA, 24 had HER2 absent tumors (43% more than expected). In patients older than 55, the LMA cluster was 21% larger than expected, due to more patients with tumors positive for HER2. Out of 68 LMA pts., 22 pts. had tumors with HER2 expression (1+/2+), 40% more than expected. Conclusions: HER2 absent triple negative IBCs might be biologically different from the triple negative and HER2 1+/2+ tumors. The former were linked to pts younger than 55 and Ki-67 values > 43%. The latter showed opposite affinities, age above 55 and Ki-67 < 44%. Based on this, the absence of HER2 in triple negative IBC seems a valid target for future research.[Table: see text]

Shear-Transformation Zone Activation during Loading and Unloading in Nanoindentation of Metallic Glasses

Using molecular dynamics simulation, we study nanoindentation in large samples of Cu–Zr glass at various temperatures between zero and the glass transition temperature. We find that besides the elastic modulus, the yielding point also strongly (by around 50%) decreases with increasing temperature; this behavior is in qualitative agreement with predictions of the cooperative shear model. Shear-transformation zones (STZs) show up in increasing sizes at low temperatures, leading to shear-band activity. Cluster analysis of the STZs exhibits a power-law behavior in the statistics of STZ sizes. We find strong plastic activity also during the unloading phase; it shows up both in the deactivation of previous plastic zones and the appearance of new zones, leading to the observation of pop-outs. The statistics of STZs occurring during unloading show that they operate in a similar nature as the STZs found during loading. For both cases, loading and unloading, we find the statistics of STZs to be related to directed percolation. Material hardness shows a weak strain-rate dependence, confirming previously reported experimental findings; the number of pop-ins is reduced at slower indentation rate. Analysis of the dependence of our simulation results on the quench rate applied during preparation of the glass shows only a minor effect on the properties of STZs.