scholarly journals The BernClim plant phenological data set from the Canton of Bern (Switzerland) 1970–2018

2019 ◽  
Author(s):  
This Rutishauser ◽  
Francois Jeanneret ◽  
Robert Brügger ◽  
Yuri Brugnara ◽  
Christian Röthlisberger ◽  
...  
Keyword(s):  
Regime Shift ◽  
Climate Change Impacts ◽  
Growing Season ◽  
Data Set ◽  
Urban And Regional Planning ◽  
Phenological Data ◽  
Observation Network ◽  
Good Internal Consistency ◽  
The University

Abstract. In 1970, the Institute of Geography of the University of Berne initiated the phenological observation network BernClim. Seasonality information from plants, fog and snow originally served for applications in urban and regional planning, agricultural and touristic suitability and are now a valuable data set for climate change impacts studies. Covering the growing season volunteer observers record the dates of key development stages of hazel (Coryllus avellana), dandelion (Taraxacum officinale), apple tree (Pyrus malus) and beech (Fagus sylvatica). All observations consist of detailed site information including location, altitude, exposition and inclination that make BernClim unique in detail-richness on decadal time-scales. Quality control (QC) by experts and statistical analyses of the data has been performed to flag impossible dates, dates outside the biologically plausible range, repeated dates in the same year, stretches of consecutive identical dates, and statistically inconsistent dates (outliers in time or in space). Here, we report BernClim data of 7414 plant phenological observations from 1970 to 2018 from 1304 sites at 110 stations, the QC procedure and selected applications (Rutishauser et al., 2019, https://doi.org/10.1594/PANGAEA.900103). The QC points to a very good internal consistency (only 0.2 % were flagged as internally inconsistent) and likely a high quality of the data. BernClim data indicate a trend towards an extended growing season. They also well track the regime shift in the late 1980s.

scholarly journals The BernClim plant phenological data set from the canton of Bern (Switzerland) 1970–2018

2019 ◽  
Vol 11 (4) ◽  
pp. 1645-1654 ◽  
Author(s):  
This Rutishauser ◽  
François Jeanneret ◽  
Robert Brügger ◽  
Yuri Brugnara ◽  
Christian Röthlisberger ◽  
...  
Keyword(s):  
Growing Season ◽  
Data Set ◽  
Urban And Regional Planning ◽  
Phenological Data ◽  
Observation Network ◽  
Good Internal Consistency ◽  
Change Impact ◽  
University Of Bern ◽  
The University

Abstract. In 1970, the Institute of Geography of the University of Bern initiated the phenological observation network BernClim. Seasonality information from plants, fog and snow was originally available for applications in urban and regional planning and agricultural and touristic suitability and is now a valuable data set for climate change impact studies. Covering the growing season, volunteer observers record the dates of key development stages of hazel (Corylus avellana), dandelion (Taraxacum officinale), apple tree (Pyrus malus) and beech (Fagus sylvatica). All observations consist of detailed site information, including location, altitude, exposition (aspect) and inclination, that makes BernClim unique in its richness in detail on decadal timescales. Quality control (QC) by experts and statistical analyses of the data have been performed to flag impossible dates, dates outside the biologically plausible range, repeated dates in the same year, stretches of consecutive identical dates and statistically inconsistent dates (outliers in time or in space). Here, we report BernClim data of 7414 plant phenological observations from 1970 to 2018 from 1304 sites at 110 stations, the QC procedure and selected applications (Rutishauser et al., 2019: https://doi.org/10.1594/PANGAEA.900102). The QC points to very good internal consistency (only 0.2 % were flagged as internally inconsistent) and likely high quality of the data. BernClim data indicate a trend towards an extended growing season. They also track the regime shift in the late 1980s well to pronounced earlier dates like numerous other phenological records across the Northern Hemisphere.

Penerapan Metode K-Means Clustering Dalam Menentukan Predikat Kelulusan Mahasiswa Untuk Menganalisa Kualitas Lulusan

JURTEKSI ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 133-140
Author(s):  
Venny Novita Sari ◽  
Yupianti Yupianti ◽  
Dewi Maharani
Keyword(s):  
Data Mining ◽  
Graduate Students ◽  
Clustering Method ◽  
Study Program ◽  
Data Set ◽  
Study Programs ◽  
Group A ◽  
The University ◽  
Program Graduate

Abstract: The increasing number of students who graduated each year causes a lot of student data that need to be processed, causing difficulties in grouping the data. In this research apply Data Mining by using Clustering method to classify the quality of graduate students of Faculty of Computer Science Dehasen University of Bengkulu based on GPA and Study Program. The algorithm used is K-Means Clustering, where the data are grouped based on the same characteristics will be entered into the same group and the data set entered into the group does not overlap. Information displayed in the form of group ?? a group of graduate students who dominate the Study Program, so it is known to the group that has the best graduate quality. The results of this study will assist the University in analyzing the quality of graduated students and the most potential study programs. Software used to help this grouping is Rapid Miner. Keywords: K-Means Clustering, Study Program, Graduate Quality, Rapid Miner Abstrak: Semakin meningkatnya jumlah mahasiswa yang diluluskan setiap tahunnya menyebabkan banyaknya data mahasiswa yang perlu diolah sehingga menyebabkan kesulitan dalam pengelompokan data tersebut. Pada penelitian ini menerapkan Data Mining dengan menggunakan metode Clustering untuk mengelompokkan kualitas lulusan mahasiswa Fakultas Ilmu Komputer Universitas Dehasen Bengkulu berdasarkan IPK dan Program Studi. Algoritma yang digunakan yaitu K-Means Clustering, dimana data dikelompokkan berdasarkan karakteristik yang sama akan dimasukkan ke dalam kelompok yang sama dan set data yang dimasukkan ke dalam kelompok tidak tumpang tindih. Informasi yang ditampilkan berupa kelompok � kelompok lulusan mahasiswa yang mendominasi Program Studi, sehingga diketahui kelompok yang memiliki kualitas lulusan terbaik. Hasil penelitian ini akan membantu pihak Universitas dalam menganalisa kualitas mahasiswa yang diluluskan dan program studi yang paling berpotensi diminati. Software yang digunakan untuk membantu pengelompokan ini adalah Rapid Miner. Keyword: K-Means Clustering, Program Studi, Kualitas Lulusan, Rapid Miner

Development and initial validation of the Latinx well-being scale

2019 ◽  
Author(s):  
◽  
Oscar Fernando Rojas Perez
Keyword(s):  
Well Being ◽  
The United States ◽  
Subjective Experiences ◽  
University Of Missouri ◽  
Factors Analysis ◽  
Strength Based ◽  
Spiritual Well Being ◽  
Good Internal Consistency ◽  
The University

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In 2000, the conceptualization and operationalization of psychological well-being shifted to a science of positive subjective experiences to improve quality of life. Although this new model was a more positive way of conceptualizing well-being compared to prior methods, this new approach fell short because it was based on non-Latinx Whites and excluded other racial and ethnic groups (i.e. Latinxs). To better assess the well-being of Latinxs, I developed the Latinx Well-being Scale (LWBS), a culturally grounded, strength-based, and holistic measure based on the lived experiences of Latinxs in the United States. With a total of 239 Latinxs primarily from the West Coast, the results of an exploratory factors analysis (EFA) suggested a 55-item, 4-factor solution: (a) Familial Well-being, (b) Spiritual Well-being, (c) Community Well-being, and (d) Physical well-being. The LWBS showed good internal consistency along with evidence to support convergent, discriminant, and construct validity. Directions for future use of the scale in Latinx psychology research and practice are provided.

Epistemic and relational conflicts in sharing identical vs. complementary information during cooperative learning

2002 ◽  
Vol 61 (3) ◽  
pp. 139-151 ◽  
Author(s):  
Céline Darnon ◽  
Céline Buchs ◽  
Fabrizio Butera
Keyword(s):  
Cooperative Learning ◽  
Social Comparison ◽  
Positive Relationship ◽  
Learning Task ◽  
Control Group ◽  
Complementary Information ◽  
Relational Conflict ◽  
The Social ◽  
The University

When interacting on a learning task, which is typical of several academic situations, individuals may experience two different motives: Understanding the problem, or showing their competences. When a conflict (confrontation of divergent propositions) emerges from this interaction, it can be solved either in an epistemic way (focused on the task) or in a relational way (focused on the social comparison of competences). The latter is believed to be detrimental for learning. Moreover, research on cooperative learning shows that when they share identical information, partners are led to compare to each other, and are less encouraged to cooperate than when they share complementary information. An epistemic vs. relational conflict vs. no conflict was provoked in dyads composed by a participant and a confederate, working either on identical or on complementary information (N = 122). Results showed that, if relational and epistemic conflicts both entailed more perceived interactions and divergence than the control group, only relational conflict entailed more perceived comparison activities and a less positive relationship than the control group. Epistemic conflict resulted in a more positive perceived relationship than the control group. As far as performance is concerned, relational conflict led to a worse learning than epistemic conflict, and - after a delay - than the control group. An interaction between the two variables on delayed performance showed that epistemic and relational conflicts were different only when working with complementary information. This study shows the importance of the quality of relationship when sharing information during cooperative learning, a crucial factor to be taken into account when planning educational settings at the university.

Evaluation of the Academic Setting in Spain 1This study was financed by the University of Oviedo.

1995 ◽  
Vol 11 (2) ◽  
pp. 133-137 ◽  
Author(s):  
Juan Fernández ◽  
Miguel A. Mateo ◽  
José Muñiz
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Social Climate ◽  
Three Dimensions ◽  
Academic Setting ◽  
Teaching And Research ◽  
Evaluation Questionnaire ◽  
University Teachers ◽  
The University

The conditions are investigated in which Spanish university teachers carry out their teaching and research functions. 655 teachers from the University of Oviedo took part in this study by completing the Academic Setting Evaluation Questionnaire (ASEQ). Of the three dimensions assessed in the ASEQ, Satisfaction received the lowest ratings, Social Climate was rated higher, and Relations with students was rated the highest. These results are similar to those found in two studies carried out in the academic years 1986/87 and 1989/90. Their relevance for higher education is twofold because these data can be used as a complement of those obtained by means of students' opinions, and the crossing of both types of data can facilitate decision making in order to improve the quality of the work (teaching and research) of the university institutions.

Development of the University of Toronto Skull Base Inventory (UT-SBI) Quality-of-Life Questionnaire

Skull Base ◽  
2009 ◽  
Vol 19 (03) ◽  
Author(s):  
John de Almeida ◽  
Allan Vescan ◽  
Jolie Ringash ◽  
Patrick Gullane ◽  
Fred Gentili ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Skull Base ◽  
Life Questionnaire ◽  
Quality Of Life Questionnaire ◽  
University Of Toronto ◽  
The University

Diagnostics of professional competence of IT students based on digital footprint data

2020 ◽  
pp. 4-11
Author(s):  
I. G. Zakharova ◽  
Yu. V. Boganyuk ◽  
M. S. Vorobyova ◽  
E. A. Pavlova
Keyword(s):  
Information Technology ◽  
Educational Program ◽  
Professional Competence ◽  
Objective Data ◽  
Text Data ◽  
Data Set ◽  
Job Requirements ◽  
Digital Footprint ◽  
Graduate Employment ◽  
The University

The article goal is to demonstrate the possibilities of the approach to diagnosing the level of IT graduates’ professional competence, based on the analysis of the student’s digital footprint and the content of the corresponding educational program. We describe methods for extracting student professional level indicators from digital footprint text data — courses’ descriptions and graduation qualification works. We show methods of comparing these indicators with the formalized requirements of employers, reflected in the texts of vacancies in the field of information technology. The proposed approach was applied at the Institute of Mathematics and Computer Science of the University of Tyumen. We performed diagnostics using a data set that included texts of courses’ descriptions for IT areas of undergraduate studies, 542 graduation qualification works in these areas, 879 descriptions of job requirements and information on graduate employment. The presented approach allows us to evaluate the relevance of the educational program as a whole and the level of professional competence of each student based on objective data. The results were used to update the content of some major courses and to include new elective courses in the curriculum.

A Futures Study on the Quality Of Life from the Point Of View of Iranian Youth

2017 ◽  
Vol 14 (2) ◽  
pp. 1
Author(s):  
Sina Saeedy ◽  
Mojtaba Amiri ◽  
Mohammad Mahdi Zolfagharzadeh ◽  
Mohammad Rahim Eyvazi
Keyword(s):  
Quality Of Life ◽  
Life Satisfaction ◽  
Mixed Model ◽  
Satisfaction With Life ◽  
Point Of View ◽  
Human Society ◽  
Futures Studies ◽  
The Social ◽  
The University

Quality of life and satisfaction with life as tightly interconnected concepts have become of much importance in the urbanism era. No doubt, it is one of the most important goals of every human society to enhance a citizen’s quality of life and to increase their satisfaction with life. However, there are many signs which demonstrate the low level of life satisfaction of Iranian citizens especially among the youth. Thus, considering the temporal concept of life satisfaction, this research aims to make a futures study in this field. Therefore, using a mixed model and employing research methods from futures studies, life satisfaction among the students of the University of Tehran were measured and their views on this subject investigated. Both quantitative and qualitative data were analysed together in order to test the hypotheses and to address the research questions on the youth discontentment with quality of life. Findings showed that the level of life satisfaction among students is relatively low and their image of the future is not positive and not optimistic. These views were elicited and discussed in the social, economic, political, environmental and technological perspectives. Keywords:  futures studies, quality of life, satisfaction with life, youth

Building research capacity and capabilities in Fiji: are we there yet?

2020 ◽  
Vol 21 (5) ◽  
pp. 265-271
Author(s):  
Jyotishna Mudaliar ◽  
Bridget Kool ◽  
Janice Natasha ◽  
Judith McCool
Keyword(s):  
Low Income ◽  
Research Capacity ◽  
Research Knowledge ◽  
Research Skills ◽  
Research Findings ◽  
Access And Quality ◽  
The University ◽  
Local Investigator ◽  
Research Capacity Development

Introduction: A barrier to local investigator-led research in low income settings, is the limited availability of personnel with appropriate research skills or qualifications to conduct the type of research required for evidence-informed policy making to improve access and quality of health care. In response to this, Fiji National University’s College of Medicine, Nursing and Health Sciences in Fiji, collaborated with academics based at the University of Auckland, New Zealand to deliver a series of research capacity development workshops in Fiji. Methods: Participants who attended any of the nine workshops (n=123) were contacted via email to take part in a brief survey regarding their perceptions of the effectiveness of the research capacity building workshops. Of the possible 123 participants, 80% (n=76) completed the questionnaire.  Results: Findings demonstrate that the majority of participants reported that they had gained research skills from the workshops (75%) including proposal development skills (68%) and knowledge of appropriate research methods (59%). Furthermore, 70% agreed that the workshops built their research confidence.  Since attending a workshop, 18% of respondents had successfully applied and received funding for research grants and/or fellowships.  Barriers to conduct research included workload (75%), lack of research knowledge, experience or skills (51%), and lack of institutional support (41%). Suggestions for future workshops included: more focus on data analysis, regular courses rather than ‘one offs’, and preparation of research findings (e.g. publications). Conclusion: Our findings indicate that research workshops of this nature may increase individual research capabilities but sustained, locally led initiatives, backed by institutional and supplementary technical support are essential.

Improvement of separate elements of the techno-logy of cultivation of white cabbage in the conditions of the of the central region of the non-chernozem zone

2020 ◽  
Author(s):  
A.V. Konstantinovich ◽  
◽  
A.S. Kuracheva ◽  
E.D. Binkevich
Keyword(s):  
Seed Treatment ◽  
Unit Area ◽  
Growing Season ◽  
Agricultural Products ◽  
Stress Factors ◽  
High Quality ◽  
Temperature And Precipitation ◽  
White Cabbage ◽  
Sowing Seed

In conditions of climate change, when temperature and precipitation fluctuations occur more and more frequently during the growing season, it is necessary to obtain high quality seedlings with "immunity" to various stress factors, including high weediness, the damage from which is associated with a decrease in yield (by 25 -35%) and with a deterioration in the quality of agricultural products. Due to the imbalance in production technology, seedlings are often weakened, overgrown, with a low yield per unit area and survival rate in the field. One of the solutions to this problem is the use of PP for pre-sowing seed treatment to increase the competitiveness of seedlings in the field.

Sign in / Sign up

Export Citation Format

Share Document