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Dataset to the manuscript: Beyond salinity: plants show divergent responses to soil ion composition
No full text<p>Dataset to the manuscript: Beyond salinity: plants show divergent responses to soil ion composition</p>
Systemic Mixed-Methods Research — a conceptual framework for EdTech research along the IDIA scale
No full textto follo
r-simionato/PlumeTraP: PlumeTraP v1.0.0
No full textVolcanic plumes detection and parameterization from visible wavelenghts videos
The Nigerian dietary screening tool: A step toward improved patient-clinician communication in Nigerian hospitals: A pilot implementation study
No full text<p>Supplementary Material for the paper "<span>The Nigerian dietary screening tool: A step toward improved patient-clinician communication in Nigerian hospitals: A pilot implementation study"</span></p>
00886 LII. Woche II. 8. In der Nachmittags-Versammlung am 2. Weyhnachzsfeyertage … d. 26. Dec. wurde das Lied gesungen: Gelobet seyst du Jesu Christ
No full text<p>Mit den <i><strong>Gemein-Nachrichten</strong></i> stellt das Unitätsarchiv Herrnhut der weltweiten Evangelischen Brüder-Unität - Herrnhuter Brüdergemeine (Unitas Fratrum / Moravian Church) das älteste und umfangreichste Mitteilungsblatt der Brüdergemeine digital zur Verfügung. Es enthält Berichte aus Gemeinden sowie dem Missions- und Diasporawerk der Brüdergemeine sowie Reden und Lebensläufe. Die <i>Gemein-Nachrichten</i> wurden ab 1765 in Fortsetzung des <i>Jüngerhaus-Diariums</i> (1747-1764) ausschließlich handschriftlich vervielfältigt. In Druck gingen 1817 und 1818 die <i>Beyträge aus der Brüder-Gemeine</i> und zwischen 1819 und 1894 die <i>Nachrichten aus der Brüder-Gemeine</i>. Das Nachrichtenblatt fand in den <i>Mitteilungen aus der Brüder-Gemeine zur Förderung christlicher Gemeinschaft</i> ab 1895 bis 1941 seine Fortsetzung.</p><p>Das hier vorliegende Datenset umfasst Transkriptionen nach XML-TEI in verschiedenen Versionierungen und einen normalisierten Text. Die ID bezieht sich auf den Index der handschriftlichen Gemein-Nachrichten (<a href="https://zenodo.org/doi/10.5281/zenodo.8228849">DOI</a>). </p>
SECURITY AND EMPLOYEE ENGAGEMENT: PREDICTORS OF THEIR LOYALTY IN THE LODGING INDUSTRY
No full text<p><span>Understanding the interplay of security measures and employee engagement is vital for enhancing employee loyalty in the lodging industry. This study examines the influence of security and engagement on employee loyalty within Bukidnon’s lodging establishments. Security is categorized into management, operational, and physical security, while employee loyalty includes both behavioral and attitudinal loyalty. A descriptive correlational research design was used to analyze data from 120 employees, employing a survey questionnaire based on the previous studies: Torralba and Ylagan (2021), Anichiti et al. (2021), and Ahla and Osac (2014) for hotel security, Narciso and Narciso (2022) for engagement, Dede and Sazkaya (2018) and Kolomiets (2016) for employee loyalty. Regression analysis assessed the influence of lodging security and engagement on employee loyalty. Findings reveal that employees generally rate security measures positively across various dimensions, including management, operational, and physical security. They also demonstrate very high levels of engagement in maintaining a secure environment, and behavioral and attitudinal loyalty. The analysis indicates that employees’ positive assessment of security and engagement significantly influences their loyalty. Specifically, management and physical security have the strongest positive influence on employee loyalty, while operational security and employee engagement have less impact. The study recommends enhancing management, operational, and physical security and implementing initiatives to foster engagement to create a safer and more committed workforce. By implementing these recommendations, lodging establishments can create a more secure environment, enhancing employee loyalty. This contributes to the sustained success and competitiveness of Bukidnon’s lodging industry.</span></p>
The dataset of Synoptic Features of the Regional Daily Extreme Precipitation over the Yangtze River Delta during the Summer Seasons of 1979-2021
No full text<p>The dataset contains the SOM results, the start and end dates of the Meiyu season, and the condition of extreme precipitation stations per day during the summer seasons of 1979-2021.</p>